Cancer-related fatigue and depression in breast cancer patients postchemotherapy: Different associations with optimism and stress appraisals.

PubMed

Levkovich, Inbar; Cohen, Miri; Pollack, Shimon; Drumea, Karen; Fried, Georgeta

2015-10-01

Symptoms of depression and cancer-related fatigue (CRF) are common among breast cancer patients postchemotherapy and may seriously impair quality of life (QoL). This study aimed to assess the relationship between depression and CRF in breast cancer patients postchemotherapy and to examine their relationships to optimism and to threat and challenge appraisals. Participants included 95 breast cancer patients (stages 1-3) 1 to 6 months after completion of chemotherapy. Patients submitted personal and medical details and completed the following: physical symptom questionnaires (EORTC QLQ-C30, and QLQ-BR23), a symptoms of depression questionnaire (CES-D), the Fatigue Symptom Inventory (FSI), the Life Orientation Test (LOT-R), and a stress appraisals questionnaire. We found levels of depression, CRF, and appraisals of cancer as a threat to bemoderate and levels of optimism and appraisals of cancer as a challenge to be high. Depression and CRF were positively associated. A multivariate regression analysis revealed that 51% of the CRF variancewas explained; physical symptoms and threat appraisal were significantly associated with CRF. A 67% of the CRF variance of depression was explained; challenge and threat appraisals were significantly associated with depression [corrected]. Although CRF and depression were often experienced simultaneously and both were found to be higher among individuals who gave higher appraisals of cancer as a threat, only depression was related to optimism and challenge appraisals, while CRF was related mainly to intensity of physical symptoms. The different pattern of associations between optimism and appraisals warrants further clinical attention as well as future study.

Rectal cancer: An evidence-based update for primary care providers

PubMed Central

Gaertner, Wolfgang B; Kwaan, Mary R; Madoff, Robert D; Melton, Genevieve B

2015-01-01

Rectal adenocarcinoma is an important cause of cancer-related deaths worldwide, and key anatomic differences between the rectum and the colon have significant implications for management of rectal cancer. Many advances have been made in the diagnosis and management of rectal cancer. These include clinical staging with imaging studies such as endorectal ultrasound and pelvic magnetic resonance imaging, operative approaches such as transanal endoscopic microsurgery and laparoscopic and robotic assisted proctectomy, as well as refined neoadjuvant and adjuvant therapies. For stage II and III rectal cancers, combined chemoradiotherapy offers the lowest rates of local and distant relapse, and is delivered neoadjuvantly to improve tolerability and optimize surgical outcomes, particularly when sphincter-sparing surgery is an endpoint. The goal in rectal cancer treatment is to optimize disease-free and overall survival while minimizing the risk of local recurrence and toxicity from both radiation and systemic therapy. Optimal patient outcomes depend on multidisciplinary involvement for tailored therapy. The successful management of rectal cancer requires a multidisciplinary approach, with the involvement of enterostomal nurses, gastroenterologists, medical and radiation oncologists, radiologists, pathologists and surgeons. The identification of patients who are candidates for combined modality treatment is particularly useful to optimize outcomes. This article provides an overview of the diagnosis, staging and multimodal therapy of patients with rectal cancer for primary care providers. PMID:26167068

Estimation of the optimal number of radiotherapy fractions for breast cancer: A review of the evidence.

PubMed

Wong, Karen; Delaney, Geoff P; Barton, Michael B

2015-08-01

There is variation in radiotherapy fractionation practice, however, there is no evidence-based benchmark for appropriate activity. An evidence-based model was constructed to estimate the optimal number of fractions for the first course of radiotherapy for breast cancer to aid in services planning and performance benchmarking. The published breast cancer radiotherapy utilisation model was adapted. Evidence-based number of fractions was added to each radiotherapy indication. The overall optimal number of fractions was calculated based on the frequency of specific clinical conditions where radiotherapy is indicated and the recommended number of fractions for each condition. Sensitivity analysis was performed to assess the impact of uncertainties on the model. For the entire Australian breast cancer patient population, the estimated optimal number of fractions per patient was 16.8, 14.6, 13.7 and 0.8 for ductal carcinoma in situ, early, advanced and metastatic breast cancer respectively. Overall, the optimal number of fractions per patient was 14.4 (range 14.4-18.7). These results allow comparison with actual practices, and workload prediction to aid in services planning. The model can be easily adapted to other countries by inserting population-specific epidemiological data, and to future changes in cancer incidence, stage distribution and fractionation recommendations. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Psychological Effects of Group Hypnotherapy on Breast Cancer Patients During Chemotherapy.

PubMed

Téllez, Arnoldo; Rodríguez-Padilla, Cristina; Martínez-Rodríguez, Jorge Luis; Juárez-García, Dehisy M; Sanchez-Armass, Omar; Sánchez, Teresa; Segura, Guillermo; Jaime-Bernal, Leticia

2017-07-01

The purpose of this study was to evaluate the effect of group hypnotherapy on anxiety, depression, stress, self-esteem, optimism, and social support during chemotherapy, in patients with breast cancer, compared with a control group with standard medical care. Hypnotherapy consisted of 24 sessions that included suggestions to encourage relaxation, self-esteem, the resolution of past traumatic events, physical healing, and optimism. Results show that the hypnotherapy group significantly decreased anxiety, distress, increased self-esteem, and optimism in the first 12 sessions. However, at the end of the 24 sessions, only self-esteem and optimism remained significant compared with the control group. The convenience of using hypnotherapy to encourage optimism and self-esteem in patients with breast cancer during chemotherapy treatment is discussed given its protective effect on health.

Optimism, social support, and mental health outcomes in patients with advanced cancer.

PubMed

Applebaum, Allison J; Stein, Emma M; Lord-Bessen, Jennifer; Pessin, Hayley; Rosenfeld, Barry; Breitbart, William

2014-03-01

Optimism and social support serve as protective factors against distress in medically ill patients. Very few studies have specifically explored the ways in which these variables interact to impact quality of life (QOL), particularly among patients with advanced cancer. The present study examined the role of optimism as a moderator of the relationship between social support and anxiety, depression, hopelessness, and QOL among patients with advanced cancer. Participants (N = 168) completed self-report assessments of psychosocial, spiritual, and physical well-being, including social support, optimism, hopelessness, depressive and anxious symptoms, and QOL. Hierarchical multiple regression analyses were conducted to determine the extent to which social support and optimism were associated with depressive and anxious symptomatology, hopelessness and QOL, and the potential role of optimism as a moderator of the relationship between social support and these variables. Higher levels of optimism were significantly associated with fewer anxious and depressive symptoms, less hopelessness, and better QOL. Higher levels of perceived social support were also significantly associated with better QOL. Additionally, optimism moderated the relationship between social support and anxiety, such that there was a strong negative association between social support and anxiety for participants with low optimism. This study highlights the importance of optimism and social support in the QOL of patients with advanced cancer. As such, interventions that attend to patients' expectations for positive experiences and the expansion of social support should be the focus of future clinical and research endeavors. Copyright © 2013 John Wiley & Sons, Ltd.

Optimism, Social Support, and Mental Health Outcomes in Patients with Advanced Cancer

PubMed Central

Applebaum, Allison J.; Stein, Emma M.; Lord-Bessen, Jennifer; Pessin, Hayley; Rosenfeld, Barry; Breitbart, William

2014-01-01

Objective Optimism and social support serve as protective factors against distress in medically ill patients. Very few studies have specifically explored the ways in which these variables interact to impact quality of life (QOL), particularly among patients with advanced cancer. The present study examined the role of optimism as a moderator of the relationship between social support and anxiety, depression, hopelessness, and QOL among patients with advanced cancer. Methods Participants (N = 168) completed self-report assessments of psychosocial, spiritual, and physical well-being, including social support, optimism, hopelessness, depressive and anxious symptoms, and QOL. Hierarchical multiple regression analyses were conducted to determine the extent to which social support and optimism were associated with depressive and anxious symptomatology, hopelessness and QOL, and the potential role of optimism as a moderator of the relationship between social support and these variables. Results Higher levels of optimism were significantly associated with fewer anxious and depressive symptoms, less hopelessness and better QOL. Higher levels of perceived social support were also significantly associated with better QOL. Additionally, optimism moderated the relationship between social support and anxiety, such that there was a strong negative association between social support and anxiety for participants with low optimism. Conclusions This study highlights the importance of optimism and social support in the QOL of patients with advanced cancer. As such, interventions that attend to patients’ expectations for positive experiences and the expansion of social support should be the focus of future clinical and research endeavors. PMID:24123339

Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer

PubMed Central

Tay, Timothy Kwang Yong; Thike, Aye Aye; Pathmanathan, Nirmala; Jara-Lazaro, Ana Richelia; Iqbal, Jabed; Sng, Adeline Shi Hui; Ye, Heng Seow; Lim, Jeffrey Chun Tatt; Koh, Valerie Cui Yun; Tan, Jane Sie Yong; Yeong, Joe Poh Sheng; Chow, Zi Long; Li, Hui Hua; Cheng, Chee Leong; Tan, Puay Hoon

2018-01-01

Background Ki67 positivity in invasive breast cancers has an inverse correlation with survival outcomes and serves as an immunohistochemical surrogate for molecular subtyping of breast cancer, particularly ER positive breast cancer. The optimal threshold of Ki67 in both settings, however, remains elusive. We use computer assisted image analysis (CAIA) to determine the optimal threshold for Ki67 in predicting survival outcomes and differentiating luminal B from luminal A breast cancers. Methods Quantitative scoring of Ki67 on tissue microarray (TMA) sections of 440 invasive breast cancers was performed using Aperio ePathology ImmunoHistochemistry Nuclear Image Analysis algorithm, with TMA slides digitally scanned via Aperio ScanScope XT System. Results On multivariate analysis, tumours with Ki67 ≥14% had an increased likelihood of recurrence (HR 1.941, p=0.021) and shorter overall survival (HR 2.201, p=0.016). Similar findings were observed in the subset of 343 ER positive breast cancers (HR 2.409, p=0.012 and HR 2.787, p=0.012 respectively). The value of Ki67 associated with ER+HER2-PR<20% tumours (Luminal B subtype) was found to be <17%. Conclusion Using CAIA, we found optimal thresholds for Ki67 that predict a poorer prognosis and an association with the Luminal B subtype of breast cancer. Further investigation and validation of these thresholds are recommended. PMID:29545924

Dyadic influence of hope and optimism on patient marital satisfaction among couples with advanced breast cancer.

PubMed

Rock, Emily E; Steiner, Jennifer L; Rand, Kevin L; Bigatti, Silvia M

2014-09-01

An estimated 10-40 % of breast cancer (BC) patients report negative changes to their partnered relationships. Literature suggests that for these patients, marital satisfaction is related to depression and other quality of life factors which are associated with survivorship and treatment response. However, existing literature does not provide a clear explanation of the factors that strengthen vs. create strain in couples facing cancer. Given the benefits of a satisfying relationship to patient quality of life, it is important to better understand factors that put patients at greater risk for marital difficulties. This study examined the differential and combined roles of hope and optimism among BC patients and their partners on patient marital satisfaction. Fifty-six breast cancer patient-partner dyads completed study questionnaires as part of a larger study. Regression analyses were used to examine the main and interaction effects of patient and partner hope and optimism on patient marital satisfaction. Higher patient and partner hope predicted greater patient marital satisfaction, whereas optimism did not. These results are divergent from the literature on optimism and well-being, which shows the importance of studying these two traits concurrently. Interaction effects suggest certain combinations of patient and partner hope and optimism are more beneficial than others for patient marital satisfaction and suggest a dyadic approach is important for investigation of well-being in breast cancer.

Dyadic Influence of Hope and Optimism on Patient Marital Satisfaction among Couples with Advanced Breast Cancer

PubMed Central

Rock, Emily E.; Steiner, Jennifer L.; Rand, Kevin L.; Bigatti, Silvia M.

2014-01-01

PURPOSE An estimated 10–40% of breast cancer (BC) patients report negative changes to their partnered relationships. Literature suggests that for these patients, marital satisfaction is related to depression and other quality of life factors which are associated with survivorship and treatment response. However, existing literature does not provide a clear explanation of the factors that strengthen vs. create strain in couples facing cancer. Given the benefits of a satisfying relationship to patient quality of life, it is important to better understand factors that put patients at greater risk for marital difficulties. This study examined the differential and combined roles of hope and optimism among BC patients and their partners on patient marital satisfaction. METHOD Fifty-six breast cancer patient-partner dyads completed study questionnaires as part of a larger study. Regression analyses were used to examine the main and interaction effects of patient and partner hope and optimism on patient marital satisfaction. RESULTS AND CONCLUSION Higher patient and partner hope predicted greater patient marital satisfaction, whereas optimism did not. These results are divergent from the literature on optimism and well-being, which shows the importance of studying these two traits concurrently. Interaction effects suggest certain combinations of patient and partner hope and optimism are more beneficial than others for patient marital satisfaction and suggest a dyadic approach is important for investigation of well-being in breast cancer. PMID:24687536

Hope, optimism and survival in a randomised trial of chemotherapy for metastatic colorectal cancer.

PubMed

Schofield, Penelope E; Stockler, M R; Zannino, D; Tebbutt, N C; Price, T J; Simes, R J; Wong, N; Pavlakis, N; Ransom, D; Moylan, E; Underhill, C; Wyld, D; Burns, I; Ward, R; Wilcken, N; Jefford, M

2016-01-01

Psychological responses to cancer are widely believed to affect survival. We investigated associations between hope, optimism, anxiety, depression, health utility and survival in patients starting first-line chemotherapy for metastatic colorectal cancer. Four hundred twenty-nine subjects with metastatic colorectal cancer in a randomised controlled trial of chemotherapy completed baseline questionnaires assessing the following: hopefulness, optimism, anxiety and depression and health utility. Hazard ratios (HRs) and P values were calculated with Cox models for overall survival (OS) and progression-free survival (PFS) in univariable and multivariable analyses. Median follow-up was 31 months. Univariable analyses showed that OS was associated negatively with depression (HR 2.04, P < 0.001) and positively with health utility (HR 0.56, P < 0.001) and hopefulness (HR 0.75, P = 0.013). In multivariable analysis, OS was also associated negatively with depression (HR 1.72, P < 0.001) and positively with health utility (HR 0.73, P = 0.014), but not with optimism, anxiety or hopefulness. PFS was not associated with hope, optimism, anxiety or depression in any analyses. Depression and health utility, but not optimism, hope or anxiety, were associated with survival after controlling for known prognostic factors in patients with advanced colorectal cancer. Further research is required to understand the nature of the relationship between depression and survival. If a causal mechanism is identified, this may lead to interventional possibilities.

Progress against cancer in the Netherlands since the late 1980s: an epidemiological evaluation.

PubMed

Karim-Kos, Henrike E; Kiemeney, Lambertus A L M; Louwman, Marieke W J; Coebergh, Jan Willem W; de Vries, Esther

2012-06-15

Progress against cancer through prevention and treatment is often measured by survival statistics only instead of analyzing trends in incidence, survival and mortality simultaneously because of interactive influences. This study combines these parameters of major cancers to provide an overview of the progress achieved in the Netherlands since 1989 and to establish in which areas action is needed. The population-based Netherlands Cancer Registry and Statistics Netherlands provided incidence, 5-year relative survival and mortality of 23 major cancer types. Incidence, survival and mortality changes were calculated as the estimated annual percentage change. Optimal progress was defined as decreasing incidence and/or improving survival accompanied by declining mortality, and deterioration as increasing incidence and/or deteriorating survival accompanied by increasing mortality rates. Optimal progress was observed in 12 of 19 cancer types among males: laryngeal, lung, stomach, gallbladder, colon, rectal, bladder, prostate and thyroid cancer, leukemia, Hodgkin and non-Hodgkin lymphoma. Among females, optimal progress was observed in 12 of 21 cancers: stomach, gallbladder, colon, rectal, breast, cervical, uterus, ovarian and thyroid cancer, leukemia, Hodgkin and non-Hodgkin lymphoma. Deterioration occurred in three cancer types among males: skin melanoma, esophageal and kidney cancer, and among females six cancer types: skin melanoma, oral cavity, pharyngeal, esophageal, pancreatic and lung cancer. Our conceptual framework limits misinterpretations from separate trends and generates a more balanced discussion on progress. Copyright © 2011 UICC.

Optimism, Symptom Distress, Illness Appraisal, and Coping in Patients With Advanced-Stage Cancer Diagnoses Undergoing Chemotherapy Treatment.

PubMed

Sumpio, Catherine; Jeon, Sangchoon; Northouse, Laurel L; Knobf, M Tish

2017-05-01

To explore the relationships between optimism, self-efficacy, symptom distress, treatment complexity, illness appraisal, coping, and mood disturbance in patients with advanced-stage cancer.
. Cross-sectional study.
. Smilow Cancer Hospital at Yale New Haven in Connecticut, an outpatient comprehensive cancer center.
. A convenience sample of 121 adult patients with stages III-IV cancer undergoing active chemotherapy.
. Participants completed common self-report questionnaires to measure variables. Treatment hours and visits were calculated from data retrieved from medical record review. Mediation and path analysis were conducted to identify direct and indirect pathways from the significant antecedent variables to mood disturbance.
. Dispositional optimism, self-efficacy, social support, treatment complexity, symptom distress, illness appraisal, coping, and mood disturbance.
. Greater optimism and self-efficacy were associated with less negative illness appraisal, less avoidant coping, and decreased mood disturbance. Conversely, greater symptom distress was associated with greater negative illness appraisal, greater avoidant coping, and greater mood disturbance. In the final model, optimism and symptom distress had direct and indirect effects on mood disturbance. Indirect effects were partially mediated by illness appraisal.
. Mood disturbance resulted from an interaction of disease stressors, personal resources, and cognitive appraisal of illness. Avoidant coping was associated with greater disturbed mood, but neither avoidant nor active coping had a significant effect on mood in the multivariate model. 
. Illness appraisal, coping style, and symptom distress are important targets for intervention. Optimism is a beneficial trait and should be included, along with coping style, in comprehensive nursing assessments of patients with cancer.

Maximizing the Therapeutic Efficacy of Imatinib Mesylate-Loaded Niosomes on Human Colon Adenocarcinoma Using Box-Behnken Design.

PubMed

Kassem, Mohammed A; El-Sawy, Hossam S; Abd-Allah, Fathy I; Abdelghany, Tamer M; El-Say, Khalid M

2017-01-01

This research purposed to formulate an optimized imatinib mesylate (IM)-loaded niosomes to improve its chemotherapeutic efficacy. The influence of 3 formulation factors on niosomal vesicular size (Y 1 ), zeta potential (Y 2 ), entrapment capacity percentage (Y 3 ), the percentage of initial drug release after 2 h (Y 4 ), and the percentage of cumulative drug release after 24 h (Y 5 ) were studied and optimized using Box-Behnken design. Optimum desirability was specified and the optimized formula was prepared, stability tested, morphologically examined, checked for vesicular bilayer formation and evaluated for its in vitro cytotoxicity on 3 different cancer cell lines namely MCF-7, HCT-116, and HepG-2 in addition to 1 normal cell line to ensure its selectivity against cancer cells. The actual responses of the optimized IM formulation were 425.36 nm, -62.4 mV, 82.96%, 18.93%, and 89.45% for Y 1 , Y 2 , Y 3 , Y 4 , and Y 5 , respectively. The optimized IM-loaded niosomes confirmed the spherical vesicular shape imaged by both light and electron microscopes and further proven by differential scanning calorimetry. Moreover, the optimized formula exhibited improved stability on storage at 4 ± 2°C and superior efficacy on MCF7, HCT-116, and HepG2 as IC 50 values were 6.7, 16.4, and 7.3 folds less than those of free drug, respectively. Interestingly, IC 50 of the optimized formula against normal cell line was ranged from 3 to 11 folds higher than in different cancer cells indicating a higher selectivity of the optimized formula to cancer cells. In conclusion, the incorporation of IM in niosomes enhanced its efficacy and selectivity toward cancer cells, presenting a promising tool to fight cancer using this approach. Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Cultural Effects on Cancer Prevention Behaviors: Fatalistic Cancer Beliefs and Risk Optimism Among Asians in Singapore.

PubMed

Kim, Hye Kyung; Lwin, May O

2017-10-01

Although culture is acknowledged as an important factor that influences health, little is known about cultural differences pertaining to cancer-related beliefs and prevention behaviors. This study examines two culturally influenced beliefs-fatalistic beliefs about cancer prevention, and optimistic beliefs about cancer risk-to identify reasons for cultural disparity in the engagement of cancer prevention behaviors. We utilized data from national surveys of European Americans in the United States (Health Information National Trends Survey 4, Cycle3; N = 1,139) and Asians in Singapore (N = 1,200) to make cultural comparisons. The odds of an Asian adhering to prevention recommendations were less than half the odds of a European American, with the exception of smoking avoidance. Compared to European Americans, Asians were more optimistic about their cancer risk both in an absolute and a comparative sense, and held stronger fatalistic beliefs about cancer prevention. Mediation analyses revealed that fatalistic beliefs and absolute risk optimism among Asians partially explain their lower engagement in prevention behaviors, whereas comparative risk optimism increases their likelihood of adhering to prevention behaviors. Our findings underscore the need for developing culturally targeted interventions in communicating cancer causes and prevention.

Selecting the minimum prediction base of historical data to perform 5-year predictions of the cancer burden: The GoF-optimal method.

PubMed

Valls, Joan; Castellà, Gerard; Dyba, Tadeusz; Clèries, Ramon

2015-06-01

Predicting the future burden of cancer is a key issue for health services planning, where a method for selecting the predictive model and the prediction base is a challenge. A method, named here Goodness-of-Fit optimal (GoF-optimal), is presented to determine the minimum prediction base of historical data to perform 5-year predictions of the number of new cancer cases or deaths. An empirical ex-post evaluation exercise for cancer mortality data in Spain and cancer incidence in Finland using simple linear and log-linear Poisson models was performed. Prediction bases were considered within the time periods 1951-2006 in Spain and 1975-2007 in Finland, and then predictions were made for 37 and 33 single years in these periods, respectively. The performance of three fixed different prediction bases (last 5, 10, and 20 years of historical data) was compared to that of the prediction base determined by the GoF-optimal method. The coverage (COV) of the 95% prediction interval and the discrepancy ratio (DR) were calculated to assess the success of the prediction. The results showed that (i) models using the prediction base selected through GoF-optimal method reached the highest COV and the lowest DR and (ii) the best alternative strategy to GoF-optimal was the one using the base of prediction of 5-years. The GoF-optimal approach can be used as a selection criterion in order to find an adequate base of prediction. Copyright © 2015 Elsevier Ltd. All rights reserved.

What do adolescents and young adults want from cancer resources? Insights from a Delphi panel of AYA patients.

PubMed

Cheung, Christabel K; Zebrack, Brad

2017-01-01

Cancer treatment programs and community-based support organizations are increasingly producing information and support resources geared to adolescent and young adult patients (AYAs); however, systematically-derived knowledge about user preferences for these resources is lacking. The primary purpose of this study was to generate findings from informed AYA cancer patients that resource developers can use to create products consistent with AYAs' expressed preferences for information and support. Utilizing a modified Delphi technique, AYA cancer patients identified barriers to optimal AYA cancer care, cancer resources that address their needs, and specific characteristics of cancer resources they find helpful. The Delphi panel consisted of a convenience sample of 21 patients aged 18-39 years, who were diagnosed with cancer between ages 15-39 and were no more than 8 years out from cancer treatment at the time of the study. Survey data were collected in three consecutive and iterative rounds over the course of 6 months in 2015. Findings indicated that AYA patients prefer resources that reduce feelings of loneliness, create a sense of community or belonging, and provide opportunities to meet other AYA patients. Among the top barriers to optimal cancer care, AYAs identified a lack of cancer care providers specializing in AYA care, a lack of connection to an AYA patient community, and their own lack of ability to navigate the health system. Participants also described aspects of cancer information and supportive care resources that they believe address AYAs' concerns. Information derived from this study will help developers of cancer information and support resources to better reach their intended audience. From the point of view of AYA cancer patients, optimal cancer care and utilization of information and support resources requires that cancer support programs foster meaningful connections among AYA patients. Results also suggest that patient resources should equip AYAs with practical knowledge and skills necessary to navigate the health system and advocate for themselves. Given patient interest in social media, future research should further investigate optimizing online resources to serve the AYA cancer population.

Conditions for NIR fluorescence-guided tumor resectioning in preclinical lung cancer model (Conference Presentation)

NASA Astrophysics Data System (ADS)

Kim, Minji; Quan, Yuhua; Choi, Byeong Hyun; Choi, Yeonho; Kim, Hyun Koo; Kim, Beop-Min

2016-03-01

Pulmonary nodule could be identified by intraoperative fluorescence imaging system from systemic injection of indocyanine green (ICG) which achieves enhanced permeability and retention (EPR) effects. This study was performed to evaluate optimal injection time of ICG for detecting cancer during surgery in rabbit lung cancer model. VX2 carcinoma cell was injected in rabbit lung under fluoroscopic computed tomography-guidance. Solitary lung cancer was confirmed on positron emitting tomography with CT (PET/CT) 2 weeks after inoculation. ICG was administered intravenously and fluorescent intensity of lung tumor was measured using the custom-built intraoperative color and fluorescence merged imaging system (ICFIS) for 15 hours. Solitary lung cancer was resected through thoracoscopic version of ICFIS. ICG was observed in all animals. Because Lung has fast blood pulmonary circulation, Fluorescent signal showed maximum intensity earlier than previous studies in other organs. Fluorescent intensity showed maximum intensity within 6-9 hours in rabbit lung cancer. Overall, Fluorescent intensity decreased with increasing time, however, all tumors were detectable using fluorescent images until 12 hours. In conclusion, while there had been studies in other organs showed that optimal injection time was at least 24 hours before operation, this study showed shorter optimal injection time at lung cancer. Since fluorescent signal showed the maximum intensity within 6-9 hours, cancer resection could be performed during this time. This data informed us that optimal injection time of ICG should be evaluated in each different solid organ tumor for fluorescent image guided surgery.

Brief review: pain management for cancer survivors: challenges and opportunities.

PubMed

Yazdani, Shiraz; Abdi, Salahadin

2014-08-01

As the number of cancer survivors continues to increase due to advances in medicine, many cancer survivors remain on their same pain management regimen long after their cancer treatment has been completed. Thus, the purpose of this review is to encourage awareness of the challenges and opportunities of pain management in cancer survivorship. It is our expectation that these patients will be referred to pain medicine specialists so their pain management can be optimized during the period of survivorship and ultimately improve their quality of life. Cancer and its treatment can cause significant pain which requires multidrug therapy, including strong analgesics such as opioids. Optimal pain management has been shown to improve the quality of life of cancer patients, and that is also true for cancer survivors. Nevertheless, the appropriate use of pain medications, especially opioids, must be re-evaluated and adjusted during treatment as the patient transitions into survivorship care and thereafter. This may otherwise result in unnecessary opioid use or may even lead to abuse. Fortunately, as cancer treatment is completed and the survivorship period begins, pain improves gradually and the need for pain medication should decrease. Unfortunately, some patients continue to take their potent analgesics during the period of survivorship although it may not be necessary. It is a challenge for pain practitioners who do not see these patients early in their disease or in the recovery period. Nevertheless, this challenge presents an opportunity for pain management providers to educate oncologists to refer cancer survivors to pain centres early during the period of their survivorship. Cancer survivors could then receive optimal care and maintain a better quality of life without having to take unnecessary pain medications. It is clear that there is a need to improve pain management in cancer patients, particularly in cancer survivors. Pain physicians should play a critical role as part of a multidisciplinary team that cares not only for cancer patients but also for cancer survivors. Optimizing pain management during the cancer survivorship period results in a better quality of life.

[Testicular cancer: a model to optimize the radiological follow-up].

PubMed

Stebler, V; Pauchard, B; Schmidt, S; Valerio, M; De Bari, B; Berthold, D

2015-05-20

Despite being rare cancers, testicular seminoma and non-seminoma play an important role in oncology: they represent a model on how to optimize radiological follow-up, aiming at a lowest possible radiation exposure and secondary cancer risk. Males diagnosed with testicular cancer undergo frequently prolonged follow-up with CT-scans with potential toxic side effects, in particular secondary cancers. To reduce the risks linked to ionizing radiation, precise follow-up protocols have been developed. The number of recommended CT-scanners has been significantly reduced over the last 10 years. The CT scanners have evolved technically and new acquisition protocols have the potential to reduce the radiation exposure further.

Guideline-concordant cancer care and survival among American Indian/Alaskan Native patients.

PubMed

Javid, Sara H; Varghese, Thomas K; Morris, Arden M; Porter, Michael P; He, Hao; Buchwald, Dedra; Flum, David R

2014-07-15

American Indians/Alaskan Natives (AI/ANs) have the worst 5-year cancer survival of all racial/ethnic groups in the United States. Causes for this disparity are unknown. The authors of this report examined the receipt of cancer treatment among AI/AN patients compared with white patients. This was a retrospective cohort study of 338,204 patients who were diagnosed at age ≥65 years with breast, colon, lung, or prostate cancer between 1996 and 2005 in the Surveillance, Epidemiology, and End Results-Medicare database. Nationally accepted guidelines for surgical and adjuvant therapy and surveillance were selected as metrics of optimal, guideline-concordant care. Treatment analyses compared AI/ANs with matched whites. Across cancer types, AI/ANs were less likely to receive optimal cancer treatment and were less likely to undergo surgery (P ≤ .025 for all cancers). Adjuvant therapy rates were significantly lower for AI/AN patients with breast cancer (P < .001) and colon cancer (P = .001). Rates of post-treatment surveillance also were lower among AI/ANs and were statistically significantly lower for AI/AN patients with breast cancer (P = .002) and prostate cancer (P < .001). Nonreceipt of optimal cancer treatment was associated with significantly worse survival across cancer types. Disease-specific survival for those who did not undergo surgery was significantly lower for patients with breast cancer (hazard ratio [HR], 0.62), colon cancer (HR, 0.74), prostate cancer (HR, 0.52), and lung cancer (HR, 0.36). Survival rates also were significantly lower for those patients who did not receive adjuvant therapy for breast cancer (HR, 0.56), colon cancer (HR, 0.59), or prostate cancer (HR, 0.81; all 95% confidence intervals were <1.0). Fewer AI/AN patients than white patients received guideline-concordant cancer treatment across the 4 most common cancers. Efforts to explain these differences are critical to improving cancer care and survival for AI/AN patients. © 2014 American Cancer Society.

76 FR 26310 - National Cancer Institute; Notice of Closed Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-06

... Support; 93.398, Cancer Research Manpower; 93.399, Cancer Control, National Institutes of Health, HHS... personal privacy. Name of Committee: National Cancer Institute Special Emphasis Panel, Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) for Cancer and Statistical...

Guideline-Concordant Cancer Care and Survival Among American Indian/Alaskan Native Patients

PubMed Central

Javid, Sara H.; Varghese, Thomas K.; Morris, Arden M.; Porter, Michael P.; He, Hao; Buchwald, Dedra; Flum, David R.

2014-01-01

BACKGROUND American Indians/Alaskan Natives (AI/ANs) have the worst 5-year cancer survival of all racial/ethnic groups in the United States. Causes for this disparity are unknown. The authors of this report examined the receipt of cancer treatment among AI/AN patients compared with white patients. METHODS This was a retrospective cohort study of 338,204 patients who were diagnosed at age ≥65 years with breast, colon, lung, or prostate cancer between 1996 and 2005 in the Surveillance, Epidemiology, and End Results-Medicare database. Nationally accepted guidelines for surgical and adjuvant therapy and surveillance were selected as metrics of optimal, guideline-concordant care. Treatment analyses compared AI/ANs with matched whites. RESULTS Across cancer types, AI/ANs were less likely to receive optimal cancer treatment and were less likely to undergo surgery (P ≤ .025 for all cancers). Adjuvant therapy rates were significantly lower for AI/AN patients with breast cancer (P <.001) and colon cancer (P = .001). Rates of post-treatment surveillance also were lower among AI/ANs and were statistically significantly lower for AI/AN patients with breast cancer (P = .002) and prostate cancer (P <.001). Nonreceipt of optimal cancer treatment was associated with significantly worse survival across cancer types. Disease-specific survival for those who did not undergo surgery was significantly lower for patients with breast cancer (hazard ratio [HR], 0.62), colon cancer (HR, 0.74), prostate cancer (HR, 0.52), and lung cancer (HR, 0.36). Survival rates also were significantly lower for those patients who did not receive adjuvant therapy for breast cancer (HR, 0.56), colon cancer (HR, 0.59), or prostate cancer (HR, 0.81; all 95% confidence intervals were <1.0). CONCLUSIONS Fewer AI/AN patients than white patients received guideline-concordant cancer treatment across the 4 most common cancers. Efforts to explain these differences are critical to improving cancer care and survival for AI/AN patients. PMID:24711210

Adherence to adjuvant endocrine therapy: is it a factor for ethnic differences in breast cancer outcomes in New Zealand?

PubMed

Seneviratne, Sanjeewa; Campbell, Ian; Scott, Nina; Kuper-Hommel, Marion; Kim, Boa; Pillai, Avinesh; Lawrenson, Ross

2015-02-01

Despite the benefits of adjuvant endocrine therapy for hormone receptor positive breast cancer, many women are non-adherent or discontinue endocrine treatment early. We studied differences in adherence to adjuvant endocrine therapy by ethnicity in a cohort of New Zealand women with breast cancer and its impact on breast cancer outcomes. We analysed data on women (n = 1149) with newly diagnosed hormone receptor positive, non-metastatic, invasive breast cancer who were treated with adjuvant endocrine therapy in the Waikato during 2005-2011. Linked data from the Waikato Breast Cancer Registry and National Pharmaceutical Database were examined to identify differences by ethnicity in adherence to adjuvant endocrine therapy and the effect of sub-optimal adherence on cancer recurrence and mortality. Overall, a high level of adherence of ≥80% was observed among 70.4% of women, which declined from 76.8% to 59.3% from the first to fifth year of treatment. Māori women were significantly more likely to be sub-optimally adherent (<80%) compared with European women (crude rate 37% vs. 28%, p = 0.005, adjusted OR = 1.51, 95% CI 1.04-2.17). Sub-optimal adherence was associated with a significantly higher risk of breast cancer mortality (HR = 1.77, 95% CI 1.05-2.99) and recurrence (HR = 2.14, 95% CI 1.46-3.14). Sub-optimal adherence to adjuvant endocrine therapy was a likely contributor for breast cancer mortality inequity between Māori and European women, and highlights the need for future research to identify effective ways to increase adherence in Māori women. Copyright © 2014 Elsevier Ltd. All rights reserved.

Identification of mutated driver pathways in cancer using a multi-objective optimization model.

PubMed

Zheng, Chun-Hou; Yang, Wu; Chong, Yan-Wen; Xia, Jun-Feng

2016-05-01

New-generation high-throughput technologies, including next-generation sequencing technology, have been extensively applied to solve biological problems. As a result, large cancer genomics projects such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium are producing large amount of rich and diverse data in multiple cancer types. The identification of mutated driver genes and driver pathways from these data is a significant challenge. Genome aberrations in cancer cells can be divided into two types: random 'passenger mutation' and functional 'driver mutation'. In this paper, we introduced a Multi-objective Optimization model based on a Genetic Algorithm (MOGA) to solve the maximum weight submatrix problem, which can be employed to identify driver genes and driver pathways promoting cancer proliferation. The maximum weight submatrix problem defined to find mutated driver pathways is based on two specific properties, i.e., high coverage and high exclusivity. The multi-objective optimization model can adjust the trade-off between high coverage and high exclusivity. We proposed an integrative model by combining gene expression data and mutation data to improve the performance of the MOGA algorithm in a biological context. Copyright © 2016 Elsevier Ltd. All rights reserved.

Optimal debulking targets in women with advanced stage ovarian cancer: a retrospective study of immediate versus interval debulking surgery.

PubMed

Altman, Alon D; Nelson, Gregg; Chu, Pamela; Nation, Jill; Ghatage, Prafull

2012-06-01

The objective of this study was to examine both overall and disease-free survival of patients with advanced stage ovarian cancer after immediate or interval debulking surgery based on residual disease. We performed a retrospective chart review at the Tom Baker Cancer Centre in Calgary, Alberta of patients with pathologically confirmed stage III or IV ovarian cancer, fallopian tube cancer, or primary peritoneal cancer between 2003 and 2007. We collected data on the dates of diagnosis, recurrence, and death; cancer stage and grade, patients' age, surgery performed, and residual disease. One hundred ninety-two patients were included in the final analysis. The optimal debulking rate with immediate surgery was 64.8%, and with interval surgery it was 85.9%. There were improved overall and disease-free survival rates for optimally debulked disease (< 1 cm) with both immediate and interval surgery (P < 0.001) compared to suboptimally debulked disease. Overall survival rates for optimally debulked disease were not significantly different in patients having immediate and interval surgery (P = 0.25). In the immediate surgery group, patients with microscopic residual disease had better disease-free survival (P = 0.015) and overall survival (P = 0.005) than patients with < 1 cm residual disease. In patients who had interval surgery, those who had microscopic residual disease had more improved disease-free survival than those with < 1 cm disease (P = 0.05), but they did not have more improved overall survival (P = 0.42). Patients with microscopic residual disease who had immediate surgery had a significantly better overall survival rate than those who had interval surgery (P = 0.034). In women with advanced stage ovarian cancer, the goal of surgery should be resection of disease to microscopic residual at the initial procedure. This results in improved overall survival than lesser degrees of resection. Further studies are required to determine optimal surgical management.

Proceedings of the 3rd Annual Albert Institute for Bladder Cancer Research Symposium.

PubMed

Flaig, Thomas W; Kamat, Ashish M; Hansel, Donna; Ingersoll, Molly A; Barton Grossman, H; Mendelsohn, Cathy; DeGraff, David; Liao, Joseph C; Taylor, John A

2017-07-27

The Third Annual Albert Institute Bladder Symposium was held on September 8-10th, 2016, in Denver Colorado. Participants discussed several critical topics in the field of bladder cancer: 1) Best practices for tissue analysis and use to optimize correlative studies, 2) Modeling bladder cancer to facilitate understanding and innovation, 3) Targeted therapies for bladder cancer, 4) Tumor phylogeny in bladder cancer, 5) New Innovations in bladder cancer diagnostics. Our understanding of and approach to treating urothelial carcinoma is undergoing rapid advancement. Preclinical models of bladder cancer have been leveraged to increase our basic and mechanistic understanding of the disease. With the approval of immune checkpoint inhibitors for the treatment of advanced urothelial carcinoma, the treatment approach for these patients has quickly changed. In this light, molecularly-defined subtypes of bladder cancer and appropriate pre-clinical models are now essential to the further advancement and appropriate application of these therapeutic improvements. The optimal collection and processing of clinical urothelial carcinoma tissues samples will also be critical in the development of predictive biomarkers for therapeutic selection. Technological advances in other areas including optimal imaging technologies and micro/nanotechnologies are being applied to bladder cancer, especially in the localized setting, and hold the potential for translational impact in the treatment of bladder cancer patients. Taken together, advances in several basic science and clinical areas are now converging in bladder cancer. These developments hold the promise of shaping and improving the clinical care of those with the disease.

Iterative dataset optimization in automated planning: Implementation for breast and rectal cancer radiotherapy.

PubMed

Fan, Jiawei; Wang, Jiazhou; Zhang, Zhen; Hu, Weigang

2017-06-01

To develop a new automated treatment planning solution for breast and rectal cancer radiotherapy. The automated treatment planning solution developed in this study includes selection of the iterative optimized training dataset, dose volume histogram (DVH) prediction for the organs at risk (OARs), and automatic generation of clinically acceptable treatment plans. The iterative optimized training dataset is selected by an iterative optimization from 40 treatment plans for left-breast and rectal cancer patients who received radiation therapy. A two-dimensional kernel density estimation algorithm (noted as two parameters KDE) which incorporated two predictive features was implemented to produce the predicted DVHs. Finally, 10 additional new left-breast treatment plans are re-planned using the Pinnacle 3 Auto-Planning (AP) module (version 9.10, Philips Medical Systems) with the objective functions derived from the predicted DVH curves. Automatically generated re-optimized treatment plans are compared with the original manually optimized plans. By combining the iterative optimized training dataset methodology and two parameters KDE prediction algorithm, our proposed automated planning strategy improves the accuracy of the DVH prediction. The automatically generated treatment plans using the dose derived from the predicted DVHs can achieve better dose sparing for some OARs without compromising other metrics of plan quality. The proposed new automated treatment planning solution can be used to efficiently evaluate and improve the quality and consistency of the treatment plans for intensity-modulated breast and rectal cancer radiation therapy. © 2017 American Association of Physicists in Medicine.

SU-E-T-07: 4DCT Robust Optimization for Esophageal Cancer Using Intensity Modulated Proton Therapy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liao, L; Department of Industrial Engineering, University of Houston, Houston, TX; Yu, J

2015-06-15

Purpose: To develop a 4DCT robust optimization method to reduce the dosimetric impact from respiratory motion in intensity modulated proton therapy (IMPT) for esophageal cancer. Methods: Four esophageal cancer patients were selected for this study. The different phases of CT from a set of 4DCT were incorporated into the worst-case dose distribution robust optimization algorithm. 4DCT robust treatment plans were designed and compared with the conventional non-robust plans. Result doses were calculated on the average and maximum inhale/exhale phases of 4DCT. Dose volume histogram (DVH) band graphic and ΔD95%, ΔD98%, ΔD5%, ΔD2% of CTV between different phases were used tomore » evaluate the robustness of the plans. Results: Compare to the IMPT plans optimized using conventional methods, the 4DCT robust IMPT plans can achieve the same quality in nominal cases, while yield a better robustness to breathing motion. The mean ΔD95%, ΔD98%, ΔD5% and ΔD2% of CTV are 6%, 3.2%, 0.9% and 1% for the robustly optimized plans vs. 16.2%, 11.8%, 1.6% and 3.3% from the conventional non-robust plans. Conclusion: A 4DCT robust optimization method was proposed for esophageal cancer using IMPT. We demonstrate that the 4DCT robust optimization can mitigate the dose deviation caused by the diaphragm motion.« less

Imaging diagnostics in ovarian cancer: magnetic resonance imaging and a scoring system guiding choice of primary treatment.

PubMed

Kasper, Sigrid M; Dueholm, Margit; Marinovskij, Edvard; Blaakær, Jan

2017-03-01

To analyze the ability of magnetic resonance imaging (MRI) and systematic evaluation at surgery to predict optimal cytoreduction in primary advanced ovarian cancer and to develop a preoperative scoring system for cancer staging. Preoperative MRI and standard laparotomy were performed in 99 women with either ovarian or primary peritoneal cancer. Using univariate and multivariate logistic regression analysis of a systematic description of the tumor in nine abdominal compartments obtained by MRI and during surgery plus clinical parameters, a scoring system was designed that predicted non-optimal cytoreduction. Non-optimal cytoreduction at operation was predicted by the following: (A) presence of comorbidities group 3 or 4 (ASA); (B) tumor presence in multiple numbers of different compartments, and (C) numbers of specified sites of organ involvement. The score includes: number of compartments involved (1-9 points), >1 subdiaphragmal location with presence of tumor (1 point); deep organ involvement of liver (1 point), porta hepatis (1 point), spleen (1 point), mesentery/vessel (1 point), cecum/ileocecal (1 point), rectum/vessels (1 point): ASA groups 3 and 4 (2 points). Use of the scoring system based on operative findings gave an area under the curve (AUC) of 91% (85-98%) for patients in whom optimal cytoreduction could not be achieved. The score AUC obtained by MRI was 84% (76-92%), and 43% of non-optimal cytoreduction patients were identified, with only 8% of potentially operable patients being falsely evaluated as suitable for non-optimal cytoreduction at the most optimal cut-off value. Tumor in individual locations did not predict operability. This systematic scoring system based on operative findings and MRI may predict non-optimal cytoreduction. MRI is able to assess ovarian cancer with peritoneal carcinomatosis with satisfactory concordance with laparotomic findings. This scoring system could be useful as a clinical guideline and should be evaluated and developed further in larger studies. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Collagen gel droplet-embedded culture drug sensitivity testing in squamous cell carcinoma cell lines derived from human oral cancers: Optimal contact concentrations of cisplatin and fluorouracil.

PubMed

Sakuma, Kaname; Tanaka, Akira; Mataga, Izumi

2016-12-01

The collagen gel droplet-embedded culture drug sensitivity test (CD-DST) is an anticancer drug sensitivity test that uses a method of three-dimensional culture of extremely small samples, and it is suited to primary cultures of human cancer cells. It is a useful method for oral squamous cell carcinoma (OSCC), in which the cancer tissues available for testing are limited. However, since the optimal contact concentrations of anticancer drugs have yet to be established in OSCC, CD-DST for detecting drug sensitivities of OSCC is currently performed by applying the optimal contact concentrations for stomach cancer. In the present study, squamous carcinoma cell lines from human oral cancer were used to investigate the optimal contact concentrations of cisplatin (CDDP) and fluorouracil (5-FU) during CD-DST for OSCC. CD-DST was performed in 7 squamous cell carcinoma cell lines derived from human oral cancers (Ca9-22, HSC-3, HSC-4, HO-1-N-1, KON, OSC-19 and SAS) using CDDP (0.15, 0.3, 1.25, 2.5, 5.0 and 10.0 µg/ml) and 5-FU (0.4, 0.9, 1.8, 3.8, 7.5, 15.0 and 30.0 µg/ml), and the optimal contact concentrations were calculated from the clinical response rate of OSCC to single-drug treatment and the in vitro efficacy rate curve. The optimal concentrations were 0.5 µg/ml for CDDP and 0.7 µg/ml for 5-FU. The antitumor efficacy of CDDP at this optimal contact concentration in CD-DST was compared to the antitumor efficacy in the nude mouse method. The T/C values, which were calculated as the ratio of the colony volume of the treatment group and the colony volume of the control group, at the optimal contact concentration of CDDP and of the nude mouse method were almost in agreement (P<0.05) and predicted clinical efficacy, indicating that the calculated optimal contact concentration is valid. Therefore, chemotherapy for OSCC based on anticancer drug sensitivity tests offers patients a greater freedom of choice and is likely to assume a greater importance in the selection of treatment from the perspectives of function preservation and quality of life, as well as representing a treatment option for unresectable, intractable or recurrent cases.

Integration of tobacco cessation services into multidisciplinary lung cancer care: rationale, state of the art, and future directions

PubMed Central

Warren, Graham W.

2015-01-01

Tobacco use is the largest risk factor for lung cancer and many lung cancer patients still smoke at the time of diagnosis. Although clinical practice guidelines recommend that all patients receive evidence-based tobacco treatment, implementation of these services in oncology practices is inconsistent and inadequate. Multidisciplinary lung cancer treatment programs offer an ideal environment to optimally deliver effective smoking cessation services. This article reviews best practice recommendations and current status of tobacco treatment for oncology patients, and provides recommendations to optimize delivery of tobacco treatment in multidisciplinary practice. PMID:26380175

Current challenges in optimizing systemic therapy for patients with pancreatic cancer: expert perspectives from the Australasian Gastrointestinal Trials Group (AGITG) with invited international faculty.

PubMed

Segelov, Eva; Lordick, Florian; Goldstein, David; Chantrill, Lorraine A; Croagh, Daniel; Lawrence, Ben; Arnold, Dirk; Chau, Ian; Obermannova, Radka; Price, Timothy Jay

2017-10-01

Despite recent progress, the outlook for most patients with pancreatic cancer remains poor. There is variation in how patients are managed globally due to differing interpretations of the evidence, partly because studies in this disease are challenging to undertake. This article collates the evidence upon which current best practice is based and offers an expert opinion from an international faculty on how latest developments should influence current treatment paradigms. Areas covered: Optimal chemotherapy for first and subsequent lines of therapy; optimal management of locally advanced, non-metastatic cancer including the role of neoadjuvant chemo(radio)therapy, current evidence for adjuvant chemotherapy, major advances in pancreatic cancer genomics and challenges in supportive care particularly relevant to patients with pancreatic cancer. For each section, literature was reviewed by comprehensive search techniques, including clinical trial websites and abstracts from international cancer meetings. Expert commentary: For each section, a commentary is provided. Overall the challenges identified were: difficulties in diagnosing pancreatic cancer early, challenges for performing randomised clinical trials in all stages of the disease, some progress in systemic therapy with new agents and in identifying molecular subtypes that may be clinically relevant and move towards personalized therapy, but still, pancreatic cancer remains a very poor prognosis cancer with significant palliative care needs.

Selecting a mix of prevention strategies against cervical cancer for maximum efficiency with an optimization program.

PubMed

Demarteau, Nadia; Breuer, Thomas; Standaert, Baudouin

2012-04-01

Screening and vaccination against human papillomavirus (HPV) can protect against cervical cancer. Neither alone can provide 100% protection. Consequently it raises the important question about the most efficient combination of screening at specified time intervals and vaccination to prevent cervical cancer. Our objective was to identify the mix of cervical cancer prevention strategies (screening and/or vaccination against HPV) that achieves maximum reduction in cancer cases within a fixed budget. We assessed the optimal mix of strategies for the prevention of cervical cancer using an optimization program. The evaluation used two models. One was a Markov cohort model used as the evaluation model to estimate the costs and outcomes of 52 different prevention strategies. The other was an optimization model in which the results of each prevention strategy of the previous model were entered as input data. The latter model determined the combination of the different prevention options to minimize cervical cancer under budget, screening coverage and vaccination coverage constraints. We applied the model in two countries with different healthcare organizations, epidemiology, screening practices, resource settings and treatment costs: the UK and Brazil. 100,000 women aged 12 years and above across the whole population over a 1-year period at steady state were included. The intervention was papanicolaou (Pap) smear screening programmes and/or vaccination against HPV with the bivalent HPV 16/18 vaccine (Cervarix® [Cervarix is a registered trademark of the GlaxoSmithKline group of companies]). The main outcome measures were optimal distribution of the population between different interventions (screening, vaccination, screening plus vaccination and no screening or vaccination) with the resulting number of cervical cancer and associated costs. In the base-case analysis (= same budget as today), the optimal prevention strategy would be, after introducing vaccination with a coverage rate of 80% in girls aged 12 years and retaining screening coverage at pre-vaccination levels (65% in the UK, 50% in Brazil), to increase the screening interval to 6 years (from 3) in the UK and to 5 years (from 3) in Brazil. This would result in a reduction of cervical cancer by 41% in the UK and by 54% in Brazil from pre-vaccination levels with no budget increase. Sensitivity analysis shows that vaccination alone at 80% coverage with no screening would achieve a cervical cancer reduction rate of 20% in the UK and 43% in Brazil compared with the pre-vaccination situation with a budget reduction of 30% and 14%, respectively. In both countries, the sharp reduction in cervical cancer is seen when the vaccine coverage rate exceeds the maximum screening coverage rate, or when screening coverage rate exceeds the maximum vaccine coverage rate, while maintaining the budget. As with any model, there are limitations to the value of predictions depending upon the assumptions made in each model. Spending the same budget that was used for screening and treatment of cervical cancer in the pre-vaccination era, results of the optimization program show that it would be possible to substantially reduce the number of cases by implementing an optimal combination of HPV vaccination (80% coverage) and screening at pre-vaccination coverage (65% UK, 50% Brazil) while extending the screening interval to every 6 years in the UK and 5 years in Brazil.

Selective robust optimization: A new intensity-modulated proton therapy optimization strategy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Li, Yupeng; Niemela, Perttu; Siljamaki, Sami

2015-08-15

Purpose: To develop a new robust optimization strategy for intensity-modulated proton therapy as an important step in translating robust proton treatment planning from research to clinical applications. Methods: In selective robust optimization, a worst-case-based robust optimization algorithm is extended, and terms of the objective function are selectively computed from either the worst-case dose or the nominal dose. Two lung cancer cases and one head and neck cancer case were used to demonstrate the practical significance of the proposed robust planning strategy. The lung cancer cases had minimal tumor motion less than 5 mm, and, for the demonstration of the methodology,more » are assumed to be static. Results: Selective robust optimization achieved robust clinical target volume (CTV) coverage and at the same time increased nominal planning target volume coverage to 95.8%, compared to the 84.6% coverage achieved with CTV-based robust optimization in one of the lung cases. In the other lung case, the maximum dose in selective robust optimization was lowered from a dose of 131.3% in the CTV-based robust optimization to 113.6%. Selective robust optimization provided robust CTV coverage in the head and neck case, and at the same time improved controls over isodose distribution so that clinical requirements may be readily met. Conclusions: Selective robust optimization may provide the flexibility and capability necessary for meeting various clinical requirements in addition to achieving the required plan robustness in practical proton treatment planning settings.« less

Decision science and cervical cancer.

PubMed

Cantor, Scott B; Fahs, Marianne C; Mandelblatt, Jeanne S; Myers, Evan R; Sanders, Gillian D

2003-11-01

Mathematical modeling is an effective tool for guiding cervical cancer screening, diagnosis, and treatment decisions for patients and policymakers. This article describes the use of mathematical modeling as outlined in five presentations from the Decision Science and Cervical Cancer session of the Second International Conference on Cervical Cancer held at The University of Texas M. D. Anderson Cancer Center, April 11-14, 2002. The authors provide an overview of mathematical modeling, especially decision analysis and cost-effectiveness analysis, and examples of how it can be used for clinical decision making regarding the prevention, diagnosis, and treatment of cervical cancer. Included are applications as well as theory regarding decision science and cervical cancer. Mathematical modeling can answer such questions as the optimal frequency for screening, the optimal age to stop screening, and the optimal way to diagnose cervical cancer. Results from one mathematical model demonstrated that a vaccine against high-risk strains of human papillomavirus was a cost-effective use of resources, and discussion of another model demonstrated the importance of collecting direct non-health care costs and time costs for cost-effectiveness analysis. Research presented indicated that care must be taken when applying the results of population-wide, cost-effectiveness analyses to reduce health disparities. Mathematical modeling can encompass a variety of theoretical and applied issues regarding decision science and cervical cancer. The ultimate objective of using decision-analytic and cost-effectiveness models is to identify ways to improve women's health at an economically reasonable cost. Copyright 2003 American Cancer Society.

Difficulty in diagnosis and different prognoses between colorectal cancer with ovarian metastasis and advanced ovarian cancer: An empirical study of different surgical adoptions.

PubMed

Lee, Ko-Chao; Lin, Hao; ChangChien, Chan-Chao; Fu, Hung-Chun; Tsai, Ching-Chou; Wu, Chen-Hsuan; Ou, Yu-Che

2017-02-01

To determine the clinical manifestations and optimal management of female patients with advanced colorectal cancer (CRC) metastasis in ovaries mimicking advanced ovarian malignancy. A retrospective medical records review of female patients with primary CRC metastasis to ovaries, which were initially diagnosed as ovarian malignancy, and treated between 2001 and 2013. Clinical presentations, pathologic findings, and treatment outcomes were analyzed. In total, 19 cases were collected in the study through a hospital tumor registry. The mean age of the patients at the time of diagnosis was 45 years (range, 28-63 years). The most common symptoms were abdominal pain or increased abdominal girth (63%). None of them had rectal bleeding. The ratio of cancer antigen-125 to carcinoembryonic antigen was available in 13 out 19 patients (less than 25 in 76.9%). Barium enema or colonoscopic exam was only performed in 10 outpatients. None of them had a positive finding. All 19 patients went for surgery, all of them had ovarian metastasis but only eight of them had bilateral involvement, and 14 of them had carcinomatosis. All patients went for either optimal cytoreduction surgery or suboptimal cytoreduction surgery. The patients who received optimal cytoreduction surgery had a significant better progression-free and overall survival than those who did not. Clinical manifestations of primary CRC with ovarian metastasis may be confused with advanced ovarian cancer. Negative barium enema or colonoscopic exam cannot rule out the possibility of CRC. For patients with a cancer antigen-125 to carcinoembryonic antigen ratio less than 25, 76% are good reference of CRC metastasis to ovaries. Optimal cytoreduction surgery like that used for treating advanced ovarian cancer had a better prognosis than suboptimal cytoreduction colorectal cancer treatment. Copyright © 2017. Published by Elsevier B.V.

Present and future breast cancer management--bench to bedside and back: a positioning paper of academia, regulatory authorities and pharmaceutical industry.

PubMed

Bartsch, R; Frings, S; Marty, M; Awada, A; Berghoff, A S; Conte, P; Dickin, S; Enzmann, H; Gnant, M; Hasmann, M; Hendriks, H R; Llombart, A; Massacesi, C; von Minckwitz, G; Penault-Llorca, F; Scaltriti, M; Yarden, Y; Zwierzina, H; Zielinski, C C

2014-04-01

Insights into tumour biology of breast cancer have led the path towards the introduction of targeted treatment approaches; still, breast cancer-related mortality remains relatively high. Efforts in the field of basic research revealed new druggable targets which now await validation within the context of clinical trials. Therefore, questions concerning the optimal design of future studies are becoming even more pertinent. Aspects such as the ideal end point, availability of predictive markers to identify the optimal cohort for drug testing, or potential mechanisms of resistance need to be resolved. An expert panel representing the academic community, the pharmaceutical industry, as well as European Regulatory Authorities met in Vienna, Austria, in November 2012, in order to discuss breast cancer biology, identification of novel biological targets and optimal drug development with the aim of treatment individualization. This article summarizes statements and perspectives provided by the meeting participants.

Cancer treatment as a game: integrating evolutionary game theory into the optimal control of chemotherapy

NASA Astrophysics Data System (ADS)

Orlando, Paul A.; Gatenby, Robert A.; Brown, Joel S.

2012-12-01

Chemotherapy for metastatic cancer commonly fails due to evolution of drug resistance in tumor cells. Here, we view cancer treatment as a game in which the oncologists choose a therapy and tumors ‘choose’ an adaptive strategy. We propose the oncologist can gain an upper hand in the game by choosing treatment strategies that anticipate the adaptations of the tumor. In particular, we examine the potential benefit of exploiting evolutionary tradeoffs in tumor adaptations to therapy. We analyze a math model where cancer cells face tradeoffs in allocation of resistance to two drugs. The tumor ‘chooses’ its strategy by natural selection and the oncologist chooses her strategy by solving a control problem. We find that when tumor cells perform best by investing resources to maximize response to one drug the optimal therapy is a time-invariant delivery of both drugs simultaneously. However, if cancer cells perform better using a generalist strategy allowing resistance to both drugs simultaneously, then the optimal protocol is a time varying solution in which the two drug concentrations negatively covary. However, drug interactions can significantly alter these results. We conclude that knowledge of both evolutionary tradeoffs and drug interactions is crucial in planning optimal chemotherapy schedules for individual patients.

Expected treatment dose construction and adaptive inverse planning optimization: Implementation for offline head and neck cancer adaptive radiotherapy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yan Di; Liang Jian

Purpose: To construct expected treatment dose for adaptive inverse planning optimization, and evaluate it on head and neck (h and n) cancer adaptive treatment modification. Methods: Adaptive inverse planning engine was developed and integrated in our in-house adaptive treatment control system. The adaptive inverse planning engine includes an expected treatment dose constructed using the daily cone beam (CB) CT images in its objective and constrains. Feasibility of the adaptive inverse planning optimization was evaluated retrospectively using daily CBCT images obtained from the image guided IMRT treatment of 19 h and n cancer patients. Adaptive treatment modification strategies with respect tomore » the time and the number of adaptive inverse planning optimization during the treatment course were evaluated using the cumulative treatment dose in organs of interest constructed using all daily CBCT images. Results: Expected treatment dose was constructed to include both the delivered dose, to date, and the estimated dose for the remaining treatment during the adaptive treatment course. It was used in treatment evaluation, as well as in constructing the objective and constraints for adaptive inverse planning optimization. The optimization engine is feasible to perform planning optimization based on preassigned treatment modification schedule. Compared to the conventional IMRT, the adaptive treatment for h and n cancer illustrated clear dose-volume improvement for all critical normal organs. The dose-volume reductions of right and left parotid glands, spine cord, brain stem and mandible were (17 {+-} 6)%, (14 {+-} 6)%, (11 {+-} 6)%, (12 {+-} 8)%, and (5 {+-} 3)% respectively with the single adaptive modification performed after the second treatment week; (24 {+-} 6)%, (22 {+-} 8)%, (21 {+-} 5)%, (19 {+-} 8)%, and (10 {+-} 6)% with three weekly modifications; and (28 {+-} 5)%, (25 {+-} 9)%, (26 {+-} 5)%, (24 {+-} 8)%, and (15 {+-} 9)% with five weekly modifications. Conclusions: Adaptive treatment modification can be implemented including the expected treatment dose in the adaptive inverse planning optimization. The retrospective evaluation results demonstrate that utilizing the weekly adaptive inverse planning optimization, the dose distribution of h and n cancer treatment can be largely improved.« less

Ethnic variation in localized prostate cancer: a pilot study of preferences, optimism, and quality of life among black and white veterans.

PubMed

Knight, Sara J; Siston, Amy K; Chmiel, Joan S; Slimack, Nicholas; Elstein, Arthur S; Chapman, Gretchen B; Nadler, Robert B; Bennett, Charles L

2004-06-01

Ethnic variations that may influence the preferences and outcomes associated with prostate cancer treatment are not well delineated. Our objective was to evaluate prospectively preferences, optimism, involvement in care, and quality of life (QOL) in black and white veterans newly diagnosed with localized prostate cancer. A total of 95 men who identified themselves as black/African-American or white who had newly diagnosed, localized prostate cancer completed a "time trade-off" task to assess utilities for current health and mild, moderate, and severe functional impairment; importance rankings for attributes associated with prostate cancer (eg, urinary function); and baseline and follow-up measures of optimism, involvement in care, and QOL. Interviews were scheduled before treatment, and at 3 and 12 months after treatment. At baseline, both blacks and whites ranked pain, bowel, and bladder function as their most important concerns. Optimism, involvement in care, and QOL were similar. Utilities for mild impairment were lower for blacks than whites, but were similar for moderate and severe problems. Decline in QOL at 3 and 12 months compared to baseline occurred for both groups. However, even with adjustment for marital status, education level, and treatment, blacks had less increase in nausea and vomiting and more increase in difficulty with sexual interest and weight gain compared with whites. Black and white veterans entered localized prostate cancer treatment with similar priorities, optimism, and involvement in care. Quality-of-life declines were common to both groups during the first year after diagnosis, but ethnic variation occurred with respect to nausea and vomiting, sexual interest, and weight gain.

Optimization of radiotherapy. Some notes on the principles and practice of optimization in cancer treatment and implications for clinical research.

PubMed

Andrews, J R

1981-01-01

Two methods dominate cancer treatment--one, the traditional best practice, individualized treatment method and two, the a priori determined decision method of the interinstitutional, cooperative, clinical trial. In the first, choices are infinite and can be made at the time of treatment; in the second, choices are finite and are made in advance of treatment on a random basis. Neither method systematically selects, identifies, or formalizes the optimum level of effect in the treatment chosen. Of the two, it can be argued that the first, other things being equal, is more likely to select the optimum treatment. The determination of level of effect for the optimization of cancer treatment requires the generation of dose-response relationships for both benefit and risk and the introduction of benefit and risk considerations and judgements. The clinical trial, as presently constituted, doses not yield this kind of information, it being, generally, of the binary yes or no, better or worse type. The best practice, individualized treatment method can yield, when adequately documented, both a range of dose-response relationships and a variety of benefit and risk considerations. The presentation will be limited to a consideration of a single modality of cancer treatment, radiation therapy, but an analogy with other modalities of cancer treatment will be inferred. Criteria for optimization will be developed and graphic means for its identification and formalization will be demonstrated with examples taken from the radiotherapy literature. The general problem of optimization theory and practice will be discussed; the necessity for its exploration in relation to the increasing complexity of cancer treatment will be developed; and recommendations for clinical research will be made including a proposal for the support of clinics as an alternative to the support of programs.

Enhancing the Therapeutic Efficacy of Tamoxifen Citrate Loaded Span-Based Nano-Vesicles on Human Breast Adenocarcinoma Cells.

PubMed

Kassem, Mohammed A; Megahed, Mohamed A; Abu Elyazid, Sherif K; Abd-Allah, Fathy I; Abdelghany, Tamer M; Al-Abd, Ahmed M; El-Say, Khalid M

2018-05-01

Serious adverse effects and low selectivity to cancer cells are the main obstacles of long term therapy with Tamoxifen (Tmx). This study aimed to develop Tmx-loaded span-based nano-vesicles for delivery to malignant tissues with maximum efficacy. The effect of three variables on vesicle size (Y 1 ), zeta potential (Y 2 ), entrapment efficiency (Y 3 ) and the cumulative percent release after 24 h (Y 4 ) were optimized using Box-Behnken design. The optimized formula was prepared and tested for its stability in different storage conditions. The observed values for the optimized formula were 310.2 nm, - 42.09 mV, 75.45 and 71.70% for Y 1 , Y 2 , Y 3 , and Y 4 , respectively. The examination using electron microscopy confirmed the formation of rounded vesicles with distinctive bilayer structure. Moreover, the cytotoxic activity of the optimized formula on both breast cancer cells (MCF-7) and normal cells (BHK) showed enhanced selectivity (9.4 folds) on cancerous cells with IC 50 values 4.7 ± 1.5 and 44.3 ± 1.3 μg/ml on cancer and normal cells, respectively. While, free Tmx exhibited lower selectivity (2.5 folds) than optimized nano-vesicles on cancer cells with IC 50 values of 9.0 ± 1.1 μg/ml and 22.5 ± 5.3 μg/ml on MCF-7 and BHK cells, respectively. The promising prepared vesicular system, with greater efficacy and selectivity, provides a marvelous tool to overcome breast cancer treatment challenges.

Development and clinical introduction of automated radiotherapy treatment planning for prostate cancer

NASA Astrophysics Data System (ADS)

Winkel, D.; Bol, G. H.; van Asselen, B.; Hes, J.; Scholten, V.; Kerkmeijer, L. G. W.; Raaymakers, B. W.

2016-12-01

To develop an automated radiotherapy treatment planning and optimization workflow to efficiently create patient specifically optimized clinical grade treatment plans for prostate cancer and to implement it in clinical practice. A two-phased planning and optimization workflow was developed to automatically generate 77Gy 5-field simultaneously integrated boost intensity modulated radiation therapy (SIB-IMRT) plans for prostate cancer treatment. A retrospective planning study (n  =  100) was performed in which automatically and manually generated treatment plans were compared. A clinical pilot (n  =  21) was performed to investigate the usability of our method. Operator time for the planning process was reduced to  <5 min. The retrospective planning study showed that 98 plans met all clinical constraints. Significant improvements were made in the volume receiving 72Gy (V72Gy) for the bladder and rectum and the mean dose of the bladder and the body. A reduced plan variance was observed. During the clinical pilot 20 automatically generated plans met all constraints and 17 plans were selected for treatment. The automated radiotherapy treatment planning and optimization workflow is capable of efficiently generating patient specifically optimized and improved clinical grade plans. It has now been adopted as the current standard workflow in our clinic to generate treatment plans for prostate cancer.

Open source machine-learning algorithms for the prediction of optimal cancer drug therapies.

PubMed

Huang, Cai; Mezencev, Roman; McDonald, John F; Vannberg, Fredrik

2017-01-01

Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development of standardized and automated analysis of patient data. One important goal of precision cancer medicine is the accurate prediction of optimal drug therapies from the genomic profiles of individual patient tumors. We introduce here an open source software platform that employs a highly versatile support vector machine (SVM) algorithm combined with a standard recursive feature elimination (RFE) approach to predict personalized drug responses from gene expression profiles. Drug specific models were built using gene expression and drug response data from the National Cancer Institute panel of 60 human cancer cell lines (NCI-60). The models are highly accurate in predicting the drug responsiveness of a variety of cancer cell lines including those comprising the recent NCI-DREAM Challenge. We demonstrate that predictive accuracy is optimized when the learning dataset utilizes all probe-set expression values from a diversity of cancer cell types without pre-filtering for genes generally considered to be "drivers" of cancer onset/progression. Application of our models to publically available ovarian cancer (OC) patient gene expression datasets generated predictions consistent with observed responses previously reported in the literature. By making our algorithm "open source", we hope to facilitate its testing in a variety of cancer types and contexts leading to community-driven improvements and refinements in subsequent applications.

SU-E-T-618: Dosimetric Comparison of Manual and Beam Angle Optimization of Gantry Angles in IMRT for Cervical Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lin, X; Sun, T; Liu, T

2014-06-01

Purpose: To evaluate the dosimetric characteristics of intensity-modulated radiotherapy (IMRT) treatment plan with beam angle optimization. Methods: Ten post-operation patients with cervical cancer were included in this analysis. Two IMRT plans using seven beams were designed in each patient. A standard coplanar equi-space beam angles were used in the first plan (plan 1), whereas the selection of beam angle was optimized by beam angle optimization algorithm in Varian Eclipse treatment planning system for the same number of beams in the second plan (plan 2). Two plans were designed for each patient with the same dose-volume constraints and prescription dose. Allmore » plans were normalized to the mean dose to PTV. The dose distribution in the target, the dose to the organs at risk and total MU were compared. Results: For conformity and homogeneity in PTV, no statistically differences were observed in the two plans. For the mean dose in bladder, plan 2 were significantly lower than plan 1(p<0.05). No statistically significant differences were observed between two plans for the mean doses in rectum, left and right femur heads. Compared with plan1, the average monitor units reduced 16% in plan 2. Conclusion: The IMRT plan based on beam angle optimization for cervical cancer could reduce the dose delivered to bladder and also reduce MU. Therefore there were some dosimetric advantages in the IMRT plan with beam angle optimization for cervical cancer.« less

Long range personalized cancer treatment strategies incorporating evolutionary dynamics.

PubMed

Yeang, Chen-Hsiang; Beckman, Robert A

2016-10-22

Current cancer precision medicine strategies match therapies to static consensus molecular properties of an individual's cancer, thus determining the next therapeutic maneuver. These strategies typically maintain a constant treatment while the cancer is not worsening. However, cancers feature complicated sub-clonal structure and dynamic evolution. We have recently shown, in a comprehensive simulation of two non-cross resistant therapies across a broad parameter space representing realistic tumors, that substantial improvement in cure rates and median survival can be obtained utilizing dynamic precision medicine strategies. These dynamic strategies explicitly consider intratumoral heterogeneity and evolutionary dynamics, including predicted future drug resistance states, and reevaluate optimal therapy every 45 days. However, the optimization is performed in single 45 day steps ("single-step optimization"). Herein we evaluate analogous strategies that think multiple therapeutic maneuvers ahead, considering potential outcomes at 5 steps ahead ("multi-step optimization") or 40 steps ahead ("adaptive long term optimization (ALTO)") when recommending the optimal therapy in each 45 day block, in simulations involving both 2 and 3 non-cross resistant therapies. We also evaluate an ALTO approach for situations where simultaneous combination therapy is not feasible ("Adaptive long term optimization: serial monotherapy only (ALTO-SMO)"). Simulations utilize populations of 764,000 and 1,700,000 virtual patients for 2 and 3 drug cases, respectively. Each virtual patient represents a unique clinical presentation including sizes of major and minor tumor subclones, growth rates, evolution rates, and drug sensitivities. While multi-step optimization and ALTO provide no significant average survival benefit, cure rates are significantly increased by ALTO. Furthermore, in the subset of individual virtual patients demonstrating clinically significant difference in outcome between approaches, by far the majority show an advantage of multi-step or ALTO over single-step optimization. ALTO-SMO delivers cure rates superior or equal to those of single- or multi-step optimization, in 2 and 3 drug cases respectively. In selected virtual patients incurable by dynamic precision medicine using single-step optimization, analogous strategies that "think ahead" can deliver long-term survival and cure without any disadvantage for non-responders. When therapies require dose reduction in combination (due to toxicity), optimal strategies feature complex patterns involving rapidly interleaved pulses of combinations and high dose monotherapy. This article was reviewed by Wendy Cornell, Marek Kimmel, and Andrzej Swierniak. Wendy Cornell and Andrzej Swierniak are external reviewers (not members of the Biology Direct editorial board). Andrzej Swierniak was nominated by Marek Kimmel.

Meaning-making intervention during breast or colorectal cancer treatment improves self-esteem, optimism, and self-efficacy.

PubMed

Lee, Virginia; Robin Cohen, S; Edgar, Linda; Laizner, Andrea M; Gagnon, Anita J

2006-06-01

Existential issues often accompany a diagnosis of cancer and remain one aspect of psychosocial oncology care for which there is a need for focused, empirically tested interventions. This study examined the efficacy of a novel psychological intervention specifically designed to address existential issues through the use of meaning-making coping strategies on psychological adjustment to cancer. Eighty-two breast or colorectal cancer patients were randomly chosen to receive routine care (control group) or up to four sessions that explored the meaning of the emotional responses and cognitive appraisals of each individual's cancer experience within the context of past life events and future goals (experimental group). This paper reports the results from 74 patients who completed and returned pre- and post-test measures for self-esteem, optimism, and self-efficacy. After controlling for baseline scores, the experimental group participants demonstrated significantly higher levels of self-esteem, optimism, and self-efficacy compared to the control group. The results are discussed in light of the theoretical and clinical implications of meaning-making coping in the context of stress and illness.

Life Satisfaction and Psychological Well-Being of Older Adults With Cancer Experience: The Role of Optimism and Volunteering.

PubMed

Heo, Jinmoo; Chun, Sanghee; Lee, Sunwoo; Kim, Junhyoung

2016-09-01

Promoting health and well-being among individuals of advancing age is a significant issue due to increased incidence of cancer among older adults. This study demonstrates the benefits of expecting positive outcomes and participating in volunteer activities among older adults with cancer. We used a nationally representative sample of 2,670 individuals who have experienced cancer from the 2008 wave of the Health and Retirement Study. We constructed a structural equation model to explore the associations of optimism, volunteerism, life satisfaction, and psychological well-being. The level of optimism was a significant predictor of volunteerism, which in turn affected life satisfaction and psychological well-being. The level of engagement in volunteer activities was found to have significant path coefficients toward both life satisfaction and psychological well-being. Our study provides evidence that older adults who have experienced cancer and maintained a positive outlook on their lives and engaged in personally meaningful activities tended to experience psychological well-being and life satisfaction. © The Author(s) 2016.

Explaining and improving breast cancer information acquisition among African American women in the Deep South.

PubMed

Anderson-Lewis, Charkarra; Ross, Levi; Johnson, Jarrett; Hastrup, Janice L; Green, B Lee; Kohler, Connie L

2012-06-01

A major challenge facing contemporary cancer educators is how to optimize the dissemination of breast cancer prevention and control information to African American women in the Deep South who are believed to be cancer free. The purpose of this research was to provide insight into the breast cancer information-acquisition experiences of African American women in Alabama and Mississippi and to make recommendations on ways to better reach members of this high-risk, underserved population. Focus group methodology was used in a repeated, cross-sectional research design with 64 African American women, 35 years old or older who lived in one of four urban or rural counties in Alabama and Mississippi. Axial-coded themes emerged around sources of cancer information, patterns of information acquisition, characteristics of preferred sources, and characteristics of least-preferred sources. It is important to invest in lay health educators to optimize the dissemination of breast cancer information to African American women who are believed to be cancer free in the Deep South.

A Fluorescent Tile DNA Diagnocode System for In Situ Rapid and Selective Diagnosis of Cytosolic RNA Cancer Markers

PubMed Central

Park, Kyung Soo; Shin, Seung Won; Jang, Min Su; Shin, Woojung; Yang, Kisuk; Min, Junhong; Cho, Seung-Woo; Oh, Byung-Keun; Bae, Jong Wook; Jung, Sunghwan; Choi, Jeong-Woo; Um, Soong Ho

2015-01-01

Accurate cancer diagnosis often requires extraction and purification of genetic materials from cells, and sophisticated instrumentations that follow. Otherwise in order to directly treat the diagnostic materials to cells, multiple steps to optimize dose concentration and treatment time are necessary due to diversity in cellular behaviors. These processes may offer high precision but hinder fast analysis of cancer, especially in clinical situations that need rapid detection and characterization of cancer. Here we present a novel fluorescent tile DNA nanostructure delivered to cancer cytosol by employing nanoparticle technology. Its structural anisotropicity offers easy manipulation for multifunctionalities, enabling the novel DNA nanostructure to detect intracellular cancer RNA markers with high specificity within 30 minutes post treatment, while the nanoparticle property bypasses the requirement of treatment optimization, effectively reducing the complexity of applying the system for cancer diagnosis. Altogether, the system offers a precise and rapid detection of cancer, suggesting the future use in the clinical fields. PMID:26678430

Clinical implications of the HPV-16 infection & 7 beneficial effects of optimal dose of Vitamin D3 in safe, effective cancer treatment: Non-invasive rapid cancer screening using "Mouth, Hand & Foot Writing Form" of 40 participants during 150- minute workshop on the Bi-Digital 0-ring Test, in the 1st day of European Congress for Integrative Medicine, September 9-11, 2016 in Budapest.

PubMed

Omura, Yoshiaki

During the 1st day of European Congress for Integrative Medicine held September 9-11, 2016, almost the entire 1st day was scheduled for the Bi-Digital O-Ring Test, which was originally developed by this author, & consists of 2 main parts for which a U.S. patent was issued in 1993. One is a non-invasive, detection of various molecules using very strong Electromagnetic Field (EMF) Resonance Phenomenon between 2 identical molecules with identical weight. Using this strong EMF Resonance Phenomenon, most molecules & microorganisms can be detected rapidly and non-invasively without directly contacting patients. We measured the HPV-16 infection of 70 participants non-invasively in the first 30 minutes, then screened cancers for 40 volunteers who completed one page "Mouth, Hand & Foot Writing Form," which took an average of 5∼10 minutes for each person to complete. Screening of 75 common cancers was made in 2-5 minutes for each patient. Analysis of 40 volunteers revealed 32 persons had some malignancies including 5 Anaplastic Astrocytomas of the L-brain, 3 Multiple Myelomas, 7 Hodgkin's Lymphomas, 8 Non-Hodgkin's Lymphomas, 2 rectum cancers (with chief complaints of worsening Irritable Bowel Syndrome). Although everyone had HPV-16 infections between about 6,000ng & 250ng, malignancy could not be found among those who had less than 1,200ng. Our individualized safe, effective and economical treatment of various cancers consists of optimal doses of Vitamin D3 with or without Taurine and/or PQQ depending on the positive synergetic compatibility among these 3 substances as normal parts of human tissue. The most serious 2 cases of rectum cancer with multiple metastasis, we confirmed very significant anti-cancer effects of their optimal doses of vitamin D3, which is increased to 800~1,000 I.U. (due to advanced cancer with multiple metastasis instead of the usual 400 I.U. for average adults). The unique 7 beneficial effects of optimal dose of Vitamin D3 (also Taurine or PQQ) include: 1) significant Anti-cancer effects without side effects; 2) marked decrease in DNA mutation as decreases in 8-OH-dG; 3) marked urinary excretion of Viruses, Bacteria, Fungi, & Toxic substances, including Asbestos & metals; 4) marked increase in Acetylcholine in the brain & the rest of the body; 5) marked increase in DHEA; 6) marked decrease in β-Amyloid (I-42); 7) marked decrease in Cardiac Troponin I. Optimal dose of Vitamin D3 is clinically most important for cancer, ischemic heart, and memory problems. Optimal dose of Taurine is 150∼175mg and PQQ is 5-7.5mg and should be taken 3-4 times a day, depending on the patient. Medications and supplements including excessive Vitamin C (as well as multivitamins) but also inhibited optimal doses of Vitamin D3, Taurine & PQQ. Often coffee, drinks containing high Vitamin C content (e.g., some green tea & orange juice), & multivitamins as well as pain medicine (e.g., Oxycodone), strong EMF from cellular phones, and strong negative BDORT underwear often completely eliminate the above beneficial effects of Vitamin D3 and promote growth of cancer.

Selectively starving cancer cells through dietary manipulation: methods and clinical implications.

PubMed

Simone, Brittany A; Champ, Colin E; Rosenberg, Anne L; Berger, Adam C; Monti, Daniel A; Dicker, Adam P; Simone, Nicole L

2013-07-01

As the link between obesity and metabolic syndrome and cancer becomes clearer, the need to determine the optimal way to incorporate dietary manipulation in the treatment of cancer patients becomes increasingly important. Metabolic-based therapies, such as caloric restriction, intermittent fasting and a ketogenic diet, have the ability to decrease the incidence of spontaneous tumors and slow the growth of primary tumors, and may have an effect on distant metastases in animal models. Despite the abundance of preclinical data demonstrating the benefit of dietary modification for cancer, to date there are few clinical trials targeting diet as an intervention for cancer patients. We hypothesize that this may be due, in part, to the fact that several different types of diet modification exist with no clear recommendations regarding the optimal method. This article will delineate three commonly used methods of dietary manipulation to assess the potential of each as a regimen for cancer therapy.

Biomimetically Engineered Demi-Bacteria Potentiate Vaccination against Cancer.

PubMed

Ni, Dezhi; Qing, Shuang; Ding, Hui; Yue, Hua; Yu, Di; Wang, Shuang; Luo, Nana; Su, Zhiguo; Wei, Wei; Ma, Guanghui

2017-10-01

Failure in enhancing antigen immunogenicity has limited the development of cancer vaccine. Inspired by effective immune responses toward microorganisms, demi-bacteria (DB) from Bacillus are engineered as carriers for cancer vaccines. The explored hydrothermal treatment enables the Bacillus to preserve optimal pathogen morphology with intrinsic mannose receptor agonist. Meanwhile, the treated Bacillus can be further endowed with ideal hollow/porous structure for efficient accommodation of antigen and adjuvant, such as CpG. Therefore, this optimal engineered nanoarchitecture allows multiple immunostimulatory elements integrate in a pattern closely resembling that of bacterial pathogens. Such pathogen mimicry greatly enhances antigen uptake and cross-presentation, resulting in stronger immune activation suitable for cancer vaccines. Indeed, DB-based biomimetic vaccination in mice induces synergistic cellular and humoral immune responses, achieving potent therapeutic and preventive effects against cancer. Application of microorganism-sourced materials thus presents new opportunities for potent cancer therapy.

Biomimetically Engineered Demi‐Bacteria Potentiate Vaccination against Cancer

PubMed Central

Ni, Dezhi; Qing, Shuang; Ding, Hui; Yue, Hua; Yu, Di; Wang, Shuang; Luo, Nana; Su, Zhiguo

2017-01-01

Abstract Failure in enhancing antigen immunogenicity has limited the development of cancer vaccine. Inspired by effective immune responses toward microorganisms, demi‐bacteria (DB) from Bacillus are engineered as carriers for cancer vaccines. The explored hydrothermal treatment enables the Bacillus to preserve optimal pathogen morphology with intrinsic mannose receptor agonist. Meanwhile, the treated Bacillus can be further endowed with ideal hollow/porous structure for efficient accommodation of antigen and adjuvant, such as CpG. Therefore, this optimal engineered nanoarchitecture allows multiple immunostimulatory elements integrate in a pattern closely resembling that of bacterial pathogens. Such pathogen mimicry greatly enhances antigen uptake and cross‐presentation, resulting in stronger immune activation suitable for cancer vaccines. Indeed, DB‐based biomimetic vaccination in mice induces synergistic cellular and humoral immune responses, achieving potent therapeutic and preventive effects against cancer. Application of microorganism‐sourced materials thus presents new opportunities for potent cancer therapy. PMID:29051851

Breast Cancer Recognition Using a Novel Hybrid Intelligent Method

PubMed Central

Addeh, Jalil; Ebrahimzadeh, Ata

2012-01-01

Breast cancer is the second largest cause of cancer deaths among women. At the same time, it is also among the most curable cancer types if it can be diagnosed early. This paper presents a novel hybrid intelligent method for recognition of breast cancer tumors. The proposed method includes three main modules: the feature extraction module, the classifier module, and the optimization module. In the feature extraction module, fuzzy features are proposed as the efficient characteristic of the patterns. In the classifier module, because of the promising generalization capability of support vector machines (SVM), a SVM-based classifier is proposed. In support vector machine training, the hyperparameters have very important roles for its recognition accuracy. Therefore, in the optimization module, the bees algorithm (BA) is proposed for selecting appropriate parameters of the classifier. The proposed system is tested on Wisconsin Breast Cancer database and simulation results show that the recommended system has a high accuracy. PMID:23626945

A preoperative low cancer antigen 125 level (≤25.8 mg/dl) is a useful criterion to determine the optimal timing of interval debulking surgery following neoadjuvant chemotherapy in epithelial ovarian cancer.

PubMed

Morimoto, Akemi; Nagao, Shoji; Kogiku, Ai; Yamamoto, Kasumi; Miwa, Maiko; Wakahashi, Senn; Ichida, Kotaro; Sudo, Tamotsu; Yamaguchi, Satoshi; Fujiwara, Kiyoshi

2016-06-01

The purpose of this study is to investigate the clinical characteristics to determine the optimal timing of interval debulking surgery following neoadjuvant chemotherapy in patients with advanced epithelial ovarian cancer. We reviewed the charts of women with advanced epithelial ovarian cancer, fallopian tube cancer or primary peritoneal cancer who underwent interval debulking surgery following neoadjuvant chemotherapy at our cancer center from April 2006 to April 2014. There were 139 patients, including 91 with ovarian cancer [International Federation of Gynecology and Obstetrics (FIGO) Stage IIIc in 56 and IV in 35], two with fallopian tube cancers (FIGO Stage IV, both) and 46 with primary peritoneal cancer (FIGO Stage IIIc in 27 and IV in 19). After 3-6 cycles (median, 4 cycles) of platinum-based chemotherapy, interval debulking surgery was performed. Sixty-seven patients (48.2%) achieved complete resection of all macroscopic disease, while 72 did not. More patients with cancer antigen 125 levels ≤25.8 mg/dl at pre-interval debulking surgery achieved complete resection than those with higher cancer antigen 125 levels (84.7 vs. 21.3%; P< 0.0001). Patients with no ascites at pre-interval debulking surgery also achieved a higher complete resection rate (63.5 vs. 34.1%; P< 0.0001). Moreover, most patients (86.7%) with cancer antigen 125 levels ≤25.8 mg/dl and no ascites at pre-interval debulking surgery achieved complete resection. A low cancer antigen 125 level of ≤25.8 mg/dl and the absence of ascites at pre-interval debulking surgery are major predictive factors for complete resection during interval debulking surgery and present useful criteria to determine the optimal timing of interval debulking surgery. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mathematical modeling for novel cancer drug discovery and development.

PubMed

Zhang, Ping; Brusic, Vladimir

2014-10-01

Mathematical modeling enables: the in silico classification of cancers, the prediction of disease outcomes, optimization of therapy, identification of promising drug targets and prediction of resistance to anticancer drugs. In silico pre-screened drug targets can be validated by a small number of carefully selected experiments. This review discusses the basics of mathematical modeling in cancer drug discovery and development. The topics include in silico discovery of novel molecular drug targets, optimization of immunotherapies, personalized medicine and guiding preclinical and clinical trials. Breast cancer has been used to demonstrate the applications of mathematical modeling in cancer diagnostics, the identification of high-risk population, cancer screening strategies, prediction of tumor growth and guiding cancer treatment. Mathematical models are the key components of the toolkit used in the fight against cancer. The combinatorial complexity of new drugs discovery is enormous, making systematic drug discovery, by experimentation, alone difficult if not impossible. The biggest challenges include seamless integration of growing data, information and knowledge, and making them available for a multiplicity of analyses. Mathematical models are essential for bringing cancer drug discovery into the era of Omics, Big Data and personalized medicine.

In Silico Evaluation of Pharmacokinetic Optimization for Antimitogram-Based Clinical Trials.

PubMed

Haviari, Skerdi; You, Benoît; Tod, Michel

2018-04-01

Antimitograms are prototype in vitro tests for evaluating chemotherapeutic efficacy using patient-derived primary cancer cells. These tests might help optimize treatment from a pharmacodynamic standpoint by guiding treatment selection. However, they are technically challenging and require refinements and trials to demonstrate benefit to be widely used. In this study, we performed simulations aimed at exploring how to validate antimitograms and how to complement them by pharmacokinetic optimization. A generic model of advanced cancer, including pharmacokinetic-pharmacodynamic monitoring, was used to link dosing schedules with progression-free survival (PFS), as built from previously validated modules. This model was used to explore different possible situations in terms of pharmacokinetic variability, pharmacodynamic variability, and antimitogram performance. The model recapitulated tumor dynamics and standalone therapeutic drug monitoring efficacy consistent with published clinical results. Simulations showed that combining pharmacokinetic and pharmacodynamic optimization should increase PFS in a synergistic fashion. Simulated data were then used to compute required clinical trial sizes, which were 30% to 90% smaller when pharmacokinetic optimization was added to pharmacodynamic optimization. This improvement was observed even when pharmacokinetic optimization alone exhibited only modest benefit. Overall, our work illustrates the synergy derived from combining antimitograms with therapeutic drug monitoring, permitting a disproportionate reduction of the trial size required to prove a benefit on PFS. Accordingly, we suggest that strategies with benefits too small for standalone clinical trials could be validated in combination in a similar manner. Significance: This work offers a method to reduce the number of patients needed for a clinical trial to prove the hypothesized benefit of a drug to progression-free survival, possibly easing opportunities to evaluate combinations. Cancer Res; 78(7); 1873-82. ©2018 AACR . ©2018 American Association for Cancer Research.

The Isolation and Characterization of Human Prostate Cancer Stem Cells

DTIC Science & Technology

2012-02-01

established cell lines and primary patient samples) with human prostate fibroblasts hold promise as models of tumor initiation/cancer stem cell activity...We continue to optimize and validate our in vitro model of prostate cancer initiation to facilitate cancer stem cell discovery as well as drug targeting.

Exosome delivered anticancer drugs across the blood-brain barrier for brain cancer therapy in Danio rerio.

PubMed

Yang, Tianzhi; Martin, Paige; Fogarty, Brittany; Brown, Alison; Schurman, Kayla; Phipps, Roger; Yin, Viravuth P; Lockman, Paul; Bai, Shuhua

2015-06-01

The blood-brain barrier (BBB) essentially restricts therapeutic drugs from entering into the brain. This study tests the hypothesis that brain endothelial cell derived exosomes can deliver anticancer drug across the BBB for the treatment of brain cancer in a zebrafish (Danio rerio) model. Four types of exosomes were isolated from brain cell culture media and characterized by particle size, morphology, total protein, and transmembrane protein markers. Transport mechanism, cell uptake, and cytotoxicity of optimized exosome delivery system were tested. Brain distribution of exosome delivered anticancer drugs was evaluated using transgenic zebrafish TG (fli1: GFP) embryos and efficacies of optimized formations were examined in a xenotransplanted zebrafish model of brain cancer model. Four exosomes in 30-100 diameters showed different morphologies and exosomes derived from brain endothelial cells expressed more CD63 tetraspanins transmembrane proteins. Optimized exosomes increased the uptake of fluorescent marker via receptor mediated endocytosis and cytotoxicity of anticancer drugs in cancer cells. Images of the zebrafish showed exosome delivered anticancer drugs crossed the BBB and entered into the brain. In the brain cancer model, exosome delivered anticancer drugs significantly decreased fluorescent intensity of xenotransplanted cancer cells and tumor growth marker. Brain endothelial cell derived exosomes could be potentially used as a carrier for brain delivery of anticancer drug for the treatment of brain cancer.

Positive Psychology in Cancer Care: A Story Line Resistant to Evidence

PubMed Central

Tennen, Howard; Ranchor, Adelita V.

2010-01-01

Background Aspinwall and Tedeschi (Ann Behav Med, 2010) summarize evidence they view as supporting links between positive psychological states, including sense of coherence (SOC) and optimism and health outcomes, and they refer to persistent assumptions that interfere with understanding how positive states predict health. Purpose We critically evaluate Aspinwall and Tedeschi’s assertions. Methods We examine evidence related to SOC and optimism in relation to physical health, and revisit proposed processes linking positive psychological states to health outcomes, particularly via the immune system in cancer. Results Aspinwall and Tedeschi’s assumptions regarding SOC and optimism are at odds with available evidence. Proposed pathways between positive psychological states and cancer outcomes are not supported by existing data. Aspinwall and Tedeschi’s portrayal of persistent interfering assumptions echoes a disregard of precedent in the broader positive psychology literature. Conclusion Positive psychology’s interpretations of the literature regarding positive psychological states and cancer outcomes represent a self-perpetuating story line without empirical support. PMID:20186581

DOE Office of Scientific and Technical Information (OSTI.GOV)

Duan, J

Purpose: The aim of this work is to study the dosimetric impact of leaf interdigitation in prostate cancer dynamic IMRT treatment planning. Methods: Fifteen previously treated prostate cancer patients were replanned for dynamic IMRT (dMLC) with and without leaf interdigitation using Monaco 3.3 TPS on the Elekta Synergy linear accelerator. The prescription dose of PTV was 70Gy/35 fractions. Various dosimetric variables, such as PTV coverage, OAR sparing, delivery efficiency and optimization time, were evaluated for each plan. Results: Interdigitation did not improve the coverage, HI and CI for PTV. Regarding OARs, sparing was equivalent with and without interdigitation. Interdigitation shownmore » an increase in MUs and segments. It was worth noting that leaf interdigitation saved the optimization time. Conclusion: This study shows that leaf interdigitation does not improve plan quality when performing dMLC treatment plan for prostate cancer. However, it influences delivery efficiency and optimization time. Interdigitation may gain efficiency for dosimetrist when designing the prostate cancer dMLC plans.« less

Dosimetric comparison between VMAT and RC3D techniques: case of prostate treatment

NASA Astrophysics Data System (ADS)

Chemingui, Fatima Zohra; Benrachi, Fatima; Bali, Mohamed Saleh; Ladjal, Hamid

2017-09-01

Considered as the second men cancer in Algeria, prostate cancer is treated in 70% by radiation. That's why radiation therapy is therapeutic weapon for prostate cancer. Conformational Radiotherapy in 3D is the most common technique [1-5]. The use of conventionally optimized treatment plans was compared at case scenario of optimized treatment plans VMAT for prostate cancer. The evaluation of the two optimizations strategies focused on the resulting plans ability to retain dose objectives under the influence of patient set up. Dose Volume Histogram in the Planning Target Volume and dose in the Organs At Risks were used to calculate the conformity index, and evaluation ratio of irradiated volume which represent the main tool of comparison [6,7]. The situation was analysed systematically. The 14% dose increase in the target leads to a decrease in the dose in adjacent organs with 39% in the bladder. Therefore, the criterion for better efficacy and less toxicity reveal that VMAT is the best choice.

Utilization of Radiation Therapy in Norway After the Implementation of The National Cancer Plan—A National, Population-Based Study

DOE Office of Scientific and Technical Information (OSTI.GOV)

Åsli, Linn M., E-mail: linn.merete.asli@kreftregisteret.no; Kvaløy, Stein O.; Jetne, Vidar

2014-11-01

Purpose: To estimate actual utilization rates of radiation therapy (RT) in Norway, describe time trends (1997-2010), and compare these estimates with corresponding optimal RT rates. Methods and Materials: Data from the population-based Cancer Registry of Norway was used to identify all patients diagnosed with cancer and/or treated by RT for cancer in 1997-2010. Radiation therapy utilization rates (RURs) were calculated as (1) the proportion of incident cancer cases who received RT at least once within 1 year of diagnosis (RUR{sub 1Y}); and (2) the proportion who received RT within 5 years of diagnosis (RUR{sub 5Y}). The number of RT treatment courses per incidentmore » cancer case (TCI) was also calculated for all cancer sites combined. The actual RURs were compared with corresponding Australian and Canadian epidemiologic- and evidence-based model estimates and criterion-based benchmark estimates of optimal RURs. The TCIs were compared with TCI estimates from the 1997 Norwegian/National Cancer Plan (NCP). Joinpoint regression was used to identify changes in trends and to estimate annual percentage change (APC) in actual RUR{sub 1Y} and actual TCI. Results: The actual RUR{sub 5Y} (all sites) increased significantly to 29% in 2005 but still differed markedly from the Australian epidemiologic- and evidence-based model estimate of 48%. With the exception of RUR{sub 5Y} for breast cancer and RUR{sub 1Y} for lung cancers, all actual RURs were markedly lower than optimal RUR estimates. The actual TCI increased significantly during the study period, reaching 42.5% in 2010, but was still lower than the 54% recommended in the NCP. The trend for RUR{sub 1Y} (all sites) and TCI changed significantly, with the annual percentage change being largest during the first part of the study period. Conclusions: Utilization rates of RT in Norway increased after the NCP was implemented and RT capacity was increased, but they still seem to be lower than optimal levels.« less

Optimized smith waterman processor design for breast cancer early diagnosis

NASA Astrophysics Data System (ADS)

Nurdin, D. S.; Isa, M. N.; Ismail, R. C.; Ahmad, M. I.

2017-09-01

This paper presents an optimized design of Processing Element (PE) of Systolic Array (SA) which implements affine gap penalty Smith Waterman (SW) algorithm on the Xilinx Virtex-6 XC6VLX75T Field Programmable Gate Array (FPGA) for Deoxyribonucleic Acid (DNA) sequence alignment. The PE optimization aims to reduce PE logic resources to increase number of PEs in FPGA for higher degree of parallelism during alignment matrix computations. This is useful for aligning long DNA-based disease sequence such as Breast Cancer (BC) for early diagnosis. The optimized PE architecture has the smallest PE area with 15 slices in a PE and 776 PEs implemented in the Virtex - 6 FPGA.

Construction of Pancreatic Cancer Classifier Based on SVM Optimized by Improved FOA

PubMed Central

Ma, Xiaoqi

2015-01-01

A novel method is proposed to establish the pancreatic cancer classifier. Firstly, the concept of quantum and fruit fly optimal algorithm (FOA) are introduced, respectively. Then FOA is improved by quantum coding and quantum operation, and a new smell concentration determination function is defined. Finally, the improved FOA is used to optimize the parameters of support vector machine (SVM) and the classifier is established by optimized SVM. In order to verify the effectiveness of the proposed method, SVM and other classification methods have been chosen as the comparing methods. The experimental results show that the proposed method can improve the classifier performance and cost less time. PMID:26543867

Resilience Among Patients Across the Cancer Continuum: Diverse Perspectives

PubMed Central

Molina, Yamile; Yi, Jean C.; Martinez-Gutierrez, Javiera; Reding, Kerryn W.; Yi-Frazier, Joyce P.; Rosenberg, Abby R.

2014-01-01

Each phase of the cancer experience profoundly affects patients’ lives. Much of the literature has focused on negative consequences of cancer; however, the study of resilience may enable providers to promote more positive psychosocial outcomes before, during, and after the cancer experience. The current review describes the ways in which elements of resilience have been defined and studied at each phase of the cancer continuum. Extensive literature searches were conducted to find studies assessing resilience during one or more stages of the adult cancer continuum. For all phases of the cancer continuum, resilience descriptions included preexisting or baseline characteristics, such as demographics and personal attributes (e.g., optimism, social support), mechanisms of adaptation, such as coping and medical experiences (e.g., positive provider communication), as well as psychosocial outcomes, such as growth and quality of life. Promoting resilience is a critical element of patient psychosocial care. Nurses may enable resilience by recognizing and promoting certain baseline characteristics and optimizing mechanisms of adaptation. PMID:24476731

Quantum dot nanoparticle for optimization of breast cancer diagnostics and therapy in a clinical setting.

PubMed

Radenkovic, Dina; Kobayashi, Hisataka; Remsey-Semmelweis, Ernö; Seifalian, Alexander M

2016-08-01

Breast cancer is the most common cancer in the world. Sentinel lymph node (SLN) biopsy is used for staging of axillary lymph nodes. Organic dyes and radiocolloid are currently used for SLN mapping, but expose patients to ionizing radiation, are unstable during surgery and cause local tissue damage. Quantum dots (QD) could be used for SLN mapping without the need for biopsy. Surgical resection of the primary tumor is the optimal treatment for early-diagnosed breast cancer, but due to difficulties in defining tumor margins, cancer cells often remain leading to reoccurrences. Functionalized QD could be used for image-guided tumor resection to allow visualization of cancer cells. Near Infrared QD are photostable and have improved deep tissue penetration. Slow elimination of QD raises concerns of potential accumulation. Nevertheless, promising findings with cadmium-free QD in recent in vivo studies and first in-human trial suggest huge potential for cancer diagnostic and therapy. Copyright © 2016 Elsevier Inc. All rights reserved.

Implementation of a dose gradient method into optimization of dose distribution in prostate cancer 3D-CRT plans

PubMed Central

Giżyńska, Marta K.; Kukołowicz, Paweł F.; Kordowski, Paweł

2014-01-01

Aim The aim of this work is to present a method of beam weight and wedge angle optimization for patients with prostate cancer. Background 3D-CRT is usually realized with forward planning based on a trial and error method. Several authors have published a few methods of beam weight optimization applicable to the 3D-CRT. Still, none on these methods is in common use. Materials and methods Optimization is based on the assumption that the best plan is achieved if dose gradient at ICRU point is equal to zero. Our optimization algorithm requires beam quality index, depth of maximum dose, profiles of wedged fields and maximum dose to femoral heads. The method was tested for 10 patients with prostate cancer, treated with the 3-field technique. Optimized plans were compared with plans prepared by 12 experienced planners. Dose standard deviation in target volume, and minimum and maximum doses were analyzed. Results The quality of plans obtained with the proposed optimization algorithms was comparable to that prepared by experienced planners. Mean difference in target dose standard deviation was 0.1% in favor of the plans prepared by planners for optimization of beam weights and wedge angles. Introducing a correction factor for patient body outline for dose gradient at ICRU point improved dose distribution homogeneity. On average, a 0.1% lower standard deviation was achieved with the optimization algorithm. No significant difference in mean dose–volume histogram for the rectum was observed. Conclusions Optimization shortens very much time planning. The average planning time was 5 min and less than a minute for forward and computer optimization, respectively. PMID:25337411

NIH mouse study finds gut microorganisms may determine cancer treatment outcome

Cancer.gov

An intact gut commensal microbiota, which is a population of microorganisms living in the intestine, is required for optimal response to cancer therapy, according to a mouse study by scientists at the National Cancer Institute (NCI)

Optimized volumetric modulated arc therapy versus 3D-CRT for early stage mediastinal Hodgkin lymphoma without axillary involvement: a comparison of second cancers and heart disease risk.

PubMed

Filippi, Andrea Riccardo; Ragona, Riccardo; Piva, Cristina; Scafa, Davide; Fiandra, Christian; Fusella, Marco; Giglioli, Francesca Romana; Lohr, Frank; Ricardi, Umberto

2015-05-01

The purpose of this study was to evaluate the risks of second cancers and cardiovascular diseases associated with an optimized volumetric modulated arc therapy (VMAT) planning solution in a selected cohort of stage I/II Hodgkin lymphoma (HL) patients treated with either involved-node or involved-site radiation therapy in comparison with 3-dimensional conformal radiation therapy (3D-CRT). Thirty-eight patients (13 males and 25 females) were included. Disease extent was mediastinum alone (n=8, 21.1%); mediastinum plus unilateral neck (n=19, 50%); mediastinum plus bilateral neck (n=11, 29.9%). Prescription dose was 30 Gy in 2-Gy fractions. Only 5 patients had mediastinal bulky disease at diagnosis (13.1%). Anteroposterior 3D-CRT was compared with a multiarc optimized VMAT solution. Lung, breast, and thyroid cancer risks were estimated by calculating a lifetime attributable risk (LAR), with a LAR ratio (LAR(VMAT)-to-LAR(3D-CRT)) as a comparative measure. Cardiac toxicity risks were estimated by calculating absolute excess risk (AER). The LAR ratio favored 3D-CRT for lung cancer induction risk in mediastinal alone (P=.004) and mediastinal plus unilateral neck (P=.02) presentations. LAR ratio for breast cancer was lower for VMAT in mediastinal plus bilateral neck presentations (P=.02), without differences for other sites. For thyroid cancer, no significant differences were observed, regardless of anatomical presentation. A significantly lower AER of cardiac (P=.038) and valvular diseases (P<.0001) was observed for VMAT regardless of disease extent. In a cohort of patients with favorable characteristics in terms of disease extent at diagnosis (large prevalence of nonbulky presentations without axillary involvement), optimized VMAT reduced heart disease risk with comparable risks of thyroid and breast cancer, with an increase in lung cancer induction probability. The results are however strongly influenced by the different anatomical presentations, supporting an individualized approach. Copyright © 2015 Elsevier Inc. All rights reserved.

Prevention of Mutation, Cancer, and Other Age-Associated Diseases by Optimizing Micronutrient Intake

PubMed Central

Ames, Bruce N.

2010-01-01

I review three of our research efforts which suggest that optimizing micronutrient intake will in turn optimize metabolism, resulting in decreased DNA damage and less cancer as well as other degenerative diseases of aging. (1) Research on delay of the mitochondrial decay of aging, including release of mutagenic oxidants, by supplementing rats with lipoic acid and acetyl carnitine. (2) The triage theory, which posits that modest micronutrient deficiencies (common in much of the population) accelerate molecular aging, including DNA damage, mitochondrial decay, and supportive evidence for the theory, including an in-depth analysis of vitamin K that suggests the importance of achieving optimal micronutrient intake for longevity. (3) The finding that decreased enzyme binding constants (increased Km) for coenzymes (or substrates) can result from protein deformation and loss of function due to an age-related decline in membrane fluidity, or to polymorphisms or mutation. The loss of enzyme function can be compensated by a high dietary intake of any of the B vitamins, which increases the level of the vitamin-derived coenzyme. This dietary remediation illustrates the importance of understanding the effects of age and polymorphisms on optimal micronutrient requirements. Optimizing micronutrient intake could have a major effect on the prevention of cancer and other degenerative diseases of aging. PMID:20936173

Optimal aggregation of binary classifiers for multiclass cancer diagnosis using gene expression profiles.

PubMed

Yukinawa, Naoto; Oba, Shigeyuki; Kato, Kikuya; Ishii, Shin

2009-01-01

Multiclass classification is one of the fundamental tasks in bioinformatics and typically arises in cancer diagnosis studies by gene expression profiling. There have been many studies of aggregating binary classifiers to construct a multiclass classifier based on one-versus-the-rest (1R), one-versus-one (11), or other coding strategies, as well as some comparison studies between them. However, the studies found that the best coding depends on each situation. Therefore, a new problem, which we call the "optimal coding problem," has arisen: how can we determine which coding is the optimal one in each situation? To approach this optimal coding problem, we propose a novel framework for constructing a multiclass classifier, in which each binary classifier to be aggregated has a weight value to be optimally tuned based on the observed data. Although there is no a priori answer to the optimal coding problem, our weight tuning method can be a consistent answer to the problem. We apply this method to various classification problems including a synthesized data set and some cancer diagnosis data sets from gene expression profiling. The results demonstrate that, in most situations, our method can improve classification accuracy over simple voting heuristics and is better than or comparable to state-of-the-art multiclass predictors.

Application of biomarkers in cancer risk management: evaluation from stochastic clonal evolutionary and dynamic system optimization points of view.

PubMed

Li, Xiaohong; Blount, Patricia L; Vaughan, Thomas L; Reid, Brian J

2011-02-01

Aside from primary prevention, early detection remains the most effective way to decrease mortality associated with the majority of solid cancers. Previous cancer screening models are largely based on classification of at-risk populations into three conceptually defined groups (normal, cancer without symptoms, and cancer with symptoms). Unfortunately, this approach has achieved limited successes in reducing cancer mortality. With advances in molecular biology and genomic technologies, many candidate somatic genetic and epigenetic "biomarkers" have been identified as potential predictors of cancer risk. However, none have yet been validated as robust predictors of progression to cancer or shown to reduce cancer mortality. In this Perspective, we first define the necessary and sufficient conditions for precise prediction of future cancer development and early cancer detection within a simple physical model framework. We then evaluate cancer risk prediction and early detection from a dynamic clonal evolution point of view, examining the implications of dynamic clonal evolution of biomarkers and the application of clonal evolution for cancer risk management in clinical practice. Finally, we propose a framework to guide future collaborative research between mathematical modelers and biomarker researchers to design studies to investigate and model dynamic clonal evolution. This approach will allow optimization of available resources for cancer control and intervention timing based on molecular biomarkers in predicting cancer among various risk subsets that dynamically evolve over time.

Breast Cancer Subtypes: Morphologic and Biologic Characterization

PubMed Central

2016-01-01

Advances in basic science, technology and translational research have created a revolution in breast cancer diagnosis and therapy. Researchers' discoveries of genes defining variability in response to therapy and heterogeneity in clinical presentations and tumor biology are the foundation of the path to personalized medicine. The success of personalized breast cancer care depends on access to pertinent clinical information and risk factors, optimal imaging findings, well-established morphologic features, and traditional and contemporary prognostic/predictive testing. The integration of these entities provides an opportunity to identify patients who can benefit from specific therapies, and demonstrates the link between breast cancer subtypes and their association with different tumor biology. It is critical to recognize specific types of breast cancer in individual patients and design optimal personalized therapy. This article will highlight the roles of morphologic features and established tumor biomarkers on patient outcome. PMID:26756229

Exploratory Study of 4D Versus 3D Robust Optimization in Intensity-Modulated Proton Therapy for Lung Cancer

PubMed Central

Liu, Wei; Schild, Steven E.; Chang, Joe Y.; Liao, Zhongxing; Chang, Yu-Hui; Wen, Zhifei; Shen, Jiajian; Stoker, Joshua B.; Ding, Xiaoning; Hu, Yanle; Sahoo, Narayan; Herman, Michael G.; Vargas, Carlos; Keole, Sameer; Wong, William; Bues, Martin

2015-01-01

Background To compare the impact of uncertainties and interplay effect on 3D and 4D robustly optimized intensity-modulated proton therapy (IMPT) plans for lung cancer in an exploratory methodology study. Methods IMPT plans were created for 11 non-randomly selected non-small-cell lung cancer (NSCLC) cases: 3D robustly optimized plans on average CTs with internal gross tumor volume density overridden to irradiate internal target volume, and 4D robustly optimized plans on 4D CTs to irradiate clinical target volume (CTV). Regular fractionation (66 Gy[RBE] in 33 fractions) were considered. In 4D optimization, the CTV of individual phases received non-uniform doses to achieve a uniform cumulative dose. The root-mean-square-dose volume histograms (RVH) measured the sensitivity of the dose to uncertainties, and the areas under the RVH curve (AUCs) were used to evaluate plan robustness. Dose evaluation software modeled time-dependent spot delivery to incorporate interplay effect with randomized starting phases of each field per fraction. Dose-volume histogram indices comparing CTV coverage, homogeneity, and normal tissue sparing were evaluated using Wilcoxon signed-rank test. Results 4D robust optimization plans led to smaller AUC for CTV (14.26 vs. 18.61 (p=0.001), better CTV coverage (Gy[RBE]) [D95% CTV: 60.6 vs 55.2 (p=0.001)], and better CTV homogeneity [D5%–D95% CTV: 10.3 vs 17.7 (p=0.002)] in the face of uncertainties. With interplay effect considered, 4D robust optimization produced plans with better target coverage [D95% CTV: 64.5 vs 63.8 (p=0.0068)], comparable target homogeneity, and comparable normal tissue protection. The benefits from 4D robust optimization were most obvious for the 2 typical stage III lung cancer patients. Conclusions Our exploratory methodology study showed that, compared to 3D robust optimization, 4D robust optimization produced significantly more robust and interplay-effect-resistant plans for targets with comparable dose distributions for normal tissues. A further study with a larger and more realistic patient population is warranted to generalize the conclusions. PMID:26725727

[Case managers experience improved trajectories for cancer patients after implementation of the case manager function].

PubMed

Axelsen, Karina Rahbek; Nafei, Hanne; Jakobsen, Stine Finne; Gandrup, Per; Knudsen, Janne Lehmann

2014-10-13

Case managers are increasingly used to optimize trajectories for patients. This study is based on a questionnaire among case managers in cancer care, aiming at the clarification of the function and its impact on especially patient safety, when handing over the responsibility. The results show a major variation in how the function is organized, the level of competence and the task to be handled. The responsibility has in general been narrowed to department level. Overall, the case managers believe that the function has optimized pathways for cancer patients and improved safety, but barriers persist.

Diagnosis and Diagnostic Imaging of Anal Canal Cancer.

PubMed

Ciombor, Kristen K; Ernst, Randy D; Brown, Gina

2017-01-01

Anal canal cancer is an uncommon malignancy but one that is often curable with optimal therapy. Owing to its unique location, histology, risk factors, and usual presentation, a careful diagnostic approach is warranted. This approach includes an excellent history and physical examination, including digital rectal examination, laboratory data, and comprehensive imaging. Anal cancer staging and formulation of a treatment plan depends on accurate imaging data. Modern radiographic techniques have improved staging quality and accuracy, and a thorough knowledge of anal anatomy is paramount to the optimal multidisciplinary treatment of this disease. Copyright © 2016 Elsevier Inc. All rights reserved.

Improving Rural Cancer Patients' Outcomes: A Group-Randomized Trial

ERIC Educational Resources Information Center

Elliott, Thomas E.; Elliott, Barbara A.; Regal, Ronald R.; Renier, Colleen M.; Haller, Irina V.; Crouse, Byron J.; Witrak, Martha T.; Jensen, Patricia B.

2004-01-01

Significant barriers exist in the delivery of state-of-the-art cancer care to rural populations. Rural providers' knowledge and practices, their rural health care delivery systems, and linkages to cancer specialists are not optimal; therefore, rural cancer patient outcomes are less than achievable. Purpose: To test the effects of a strategy…

Explaining and Improving Breast Cancer Information Acquisition among African American Women in the Deep South

PubMed Central

Anderson-Lewis, Charkarra; Ross, Levi; Johnson, Jarrett; Hastrup, Janice L.; Green, B. Lee; Kohler, Connie L.

2012-01-01

Objectives A major challenge facing contemporary cancer educators is how to optimize the dissemination of breast cancer prevention and control information to African American women in the Deep South who are believed to be cancer free. The purpose of this research was to provide insight into the breast cancer information-acquisition experiences of African American women in Alabama and Mississippi and to make recommendations on ways to better reach members of this high-risk, underserved population. Methods Focus group methodology was used in a repeated, cross-sectional research design with 64 African American women, 35 years old or older who lived in one of four urban or rural counties in Alabama and Mississippi. Results Axial-coded themes emerged around sources of cancer information, patterns of information acquisition, characteristics of preferred sources, and characteristics of least-preferred sources. Conclusions It is important to invest in lay health educators to optimize the dissemination of breast cancer information to African American women who are believed to be cancer free in the Deep South. PMID:22665151

Preclinical optimization of a broad-spectrum anti-bladder cancer tri-drug regimen via the Feedback System Control (FSC) platform

NASA Astrophysics Data System (ADS)

Liu, Qi; Zhang, Cheng; Ding, Xianting; Deng, Hui; Zhang, Daming; Cui, Wei; Xu, Hongwei; Wang, Yingwei; Xu, Wanhai; Lv, Lei; Zhang, Hongyu; He, Yinghua; Wu, Qiong; Szyf, Moshe; Ho, Chih-Ming; Zhu, Jingde

2015-06-01

Therapeutic outcomes of combination chemotherapy have not significantly advanced during the past decades. This has been attributed to the formidable challenges of optimizing drug combinations. Testing a matrix of all possible combinations of doses and agents in a single cell line is unfeasible due to the virtually infinite number of possibilities. We utilized the Feedback System Control (FSC) platform, a phenotype oriented approach to test 100 options among 15,625 possible combinations in four rounds of assaying to identify an optimal tri-drug combination in eight distinct chemoresistant bladder cancer cell lines. This combination killed between 82.86% and 99.52% of BCa cells, but only 47.47% of the immortalized benign bladder epithelial cells. Preclinical in vivo verification revealed its markedly enhanced anti-tumor efficacy as compared to its bi- or mono-drug components in cell line-derived tumor xenografts. The collective response of these pathways to component drugs was both cell type- and drug type specific. However, the entire spectrum of pathways triggered by the tri-drug regimen was similar in all four cancer cell lines, explaining its broad spectrum killing of BCa lines, which did not occur with its component drugs. Our findings here suggest that the FSC platform holdspromise for optimization of anti-cancer combination chemotherapy.

Evaluation of the Possible Utilization of 68Ga-DOTATOC in Diagnosis of Adenocarcinoma Breast Cancer.

PubMed

Zolghadri, Samaneh; Naderi, Mojdeh; Yousefnia, Hassan; Alirezapour, Behrouz; Beiki, Davood

2018-01-01

Studies have indicated advantageous properties of [DOTA-DPhe 1 , Tyr 3 ] octreotide (DOTATOC) in tumor models and labeling with gallium. Breast cancer is the second leading cause of cancer mortality in women, and most of these cancers are often an adenocarcinoma. Due to the importance of target to non-target ratios in the efficacy of diagnosis, the pharmacokinetic of 68 Ga-DOTATOC in an adenocarcinoma breast cancer animal model was studied in this research, and the optimized time for imaging was determined. 68 Ga was obtained from 68 Ge/ 68 Ga generator. The complex was prepared at optimized conditions. Radiochemical purity of the complex was checked using both HPLC and ITLC methods. Biodistribution of the complex was studied in BALB/c mice bearing adenocarcinoma breast cancer. Also, PET/CT imaging was performed up to 120 min post injection. The complex was produced with radiochemical purity of greater than 98% and specific activity of about 40 GBq/mM at optimized conditions. Biodistribution of the complex was studied in BALB/c mice bearing adenocarcinoma breast cancer indicated fast blood clearance and significant uptake in the tumor. Significant tumor: blood and tumor:muscle uptake ratios were observed even at early times post-injection. PET/CT images were also confirmed the considerable accumulation of the tracer in the tumor. Generally, the results proved the possible application of the radiolabelled complex for the detection of the adenocarcinoma breast cancer and according to the pharmacokenitic data, the suitable time for imaging was determined as at least 30 min after injection.

Evaluation of the Possible Utilization of 68Ga-DOTATOC in Diagnosis of Adenocarcinoma Breast Cancer

PubMed Central

Zolghadri, Samaneh; Naderi, Mojdeh; Yousefnia, Hassan; Alirezapour, Behrouz; Beiki, Davood

2018-01-01

Objective(s): Studies have indicated advantageous properties of [DOTA-DPhe1, Tyr3] octreotide (DOTATOC) in tumor models and labeling with gallium. Breast cancer is the second leading cause of cancer mortality in women, and most of these cancers are often an adenocarcinoma. Due to the importance of target to non-target ratios in the efficacy of diagnosis, the pharmacokinetic of 68Ga-DOTATOC in an adenocarcinoma breast cancer animal model was studied in this research, and the optimized time for imaging was determined. Methods: 68Ga was obtained from 68Ge/68Ga generator. The complex was prepared at optimized conditions. Radiochemical purity of the complex was checked using both HPLC and ITLC methods. Biodistribution of the complex was studied in BALB/c mice bearing adenocarcinoma breast cancer. Also, PET/CT imaging was performed up to 120 min post injection. Results: The complex was produced with radiochemical purity of greater than 98% and specific activity of about 40 GBq/mM at optimized conditions. Biodistribution of the complex was studied in BALB/c mice bearing adenocarcinoma breast cancer indicated fast blood clearance and significant uptake in the tumor. Significant tumor: blood and tumor:muscle uptake ratios were observed even at early times post-injection. PET/CT images were also confirmed the considerable accumulation of the tracer in the tumor. Conclusion: Generally, the results proved the possible application of the radiolabelled complex for the detection of the adenocarcinoma breast cancer and according to the pharmacokenitic data, the suitable time for imaging was determined as at least 30 min after injection. PMID:29333466

Cancer risk estimation in Digital Breast Tomosynthesis using GEANT4 Monte Carlo simulations and voxel phantoms.

PubMed

Ferreira, P; Baptista, M; Di Maria, S; Vaz, P

2016-05-01

The aim of this work was to estimate the risk of radiation induced cancer following the Portuguese breast screening recommendations for Digital Mammography (DM) when applied to Digital Breast Tomosynthesis (DBT) and to evaluate how the risk to induce cancer could influence the energy used in breast diagnostic exams. The organ doses were calculated by Monte Carlo simulations using a female voxel phantom and considering the acquisition of 25 projection images. Single organ cancer incidence risks were calculated in order to assess the total effective radiation induced cancer risk. The screening strategy techniques considered were: DBT in Cranio-Caudal (CC) view and two-view DM (CC and Mediolateral Oblique (MLO)). The risk of cancer incidence following the Portuguese screening guidelines (screening every two years in the age range of 50-80years) was calculated by assuming a single CC DBT acquisition view as standalone screening strategy and compared with two-view DM. The difference in the total effective risk between DBT and DM is quite low. Nevertheless in DBT an increase of risk for the lung is observed with respect to DM. The lung is also the organ that is mainly affected when non-optimal beam energy (in terms of image quality and absorbed dose) is used instead of an optimal one. The use of non-optimal energies could increase the risk of lung cancer incidence by a factor of about 2. Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Physical function metric over measure: An illustration with the Patient-Reported Outcomes Measurement Information System (PROMIS) and the Functional Assessment of Cancer Therapy (FACT).

PubMed

Kaat, Aaron J; Schalet, Benjamin D; Rutsohn, Joshua; Jensen, Roxanne E; Cella, David

2018-01-01

Measuring patient-reported outcomes (PROs) is becoming an integral component of quality improvement initiatives, clinical care, and research studies in cancer, including comparative effectiveness research. However, the number of PROs limits comparability across studies. Herein, the authors attempted to link the Functional Assessment of Cancer Therapy-General Physical Well-Being (FACT-G PWB) subscale with the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) calibrated item bank. The also sought to augment a subset of the conceptually most similar FACT-G PWB items with PROMIS PF items to improve the linking. Baseline data from 5506 participants in the Measuring Your Health (MY-Health) study were used to identify the optimal items for linking FACT-G PWB with PROMIS PF. A mixed methods approach identified the optimal items for creating the 5-item FACT/PROMIS-PF5 scale. Both the linked and augmented relationships were cross-validated using the follow-up MY-Health data. A 5-item FACT-G PWB item subset was found to be optimal for linking with PROMIS PF. In addition, a 2-item subset, including only items that were conceptually very similar to the PROMIS item bank content, were augmented with 3 PROMIS PF items. This new FACT/PROMIS-PF5 provided superior score recovery. The PROMIS PF metric allows for the evaluation of the extent to which similar questionnaires can be linked and therefore expressed on the same metric. These results allow for the aggregation of existing data and provide an optimal measure for future studies wishing to use the FACT yet also report on the PROMIS PF metric. Cancer 2018;124:153-60. © 2017 American Cancer Society. © 2017 American Cancer Society.

[Building Mass Spectrometry Spectral Libraries of Human Cancer Cell Lines].

PubMed

Faktor, J; Bouchal, P

Cancer research often focuses on protein quantification in model cancer cell lines and cancer tissues. SWATH (sequential windowed acquisition of all theoretical fragment ion spectra), the state of the art method, enables the quantification of all proteins included in spectral library. Spectral library contains fragmentation patterns of each detectable protein in a sample. Thorough spectral library preparation will improve quantitation of low abundant proteins which usually play an important role in cancer. Our research is focused on the optimization of spectral library preparation aimed at maximizing the number of identified proteins in MCF-7 breast cancer cell line. First, we optimized the sample preparation prior entering the mass spectrometer. We examined the effects of lysis buffer composition, peptide dissolution protocol and the material of sample vial on the number of proteins identified in spectral library. Next, we optimized mass spectrometry (MS) method for spectral library data acquisition. Our thorough optimized protocol for spectral library building enabled the identification of 1,653 proteins (FDR < 1%) in 1 µg of MCF-7 lysate. This work contributed to the enhancement of protein coverage in SWATH digital biobanks which enable quantification of arbitrary protein from physically unavailable samples. In future, high quality spectral libraries could play a key role in preparing of patient proteome digital fingerprints.Key words: biomarker - mass spectrometry - proteomics - digital biobanking - SWATH - protein quantificationThis work was supported by the project MEYS - NPS I - LO1413.The authors declare they have no potential conflicts of interest concerning drugs, products, or services used in the study.The Editorial Board declares that the manuscript met the ICMJE recommendation for biomedical papers.Submitted: 7. 5. 2016Accepted: 9. 6. 2016.

Challenges in the management of breast cancer in low- and middle-income countries.

PubMed

Yip, Cheng-Har; Taib, Nur Aishah

2012-12-01

The incidence of breast cancer is rising in low- and middle-income countries (LMICs) due to 'westernization' of risk factors for developing breast cancer. However, survival remains low because of barriers in early detection and optimal access to treatment, which are the two main determinants of breast cancer outcome. A multidisciplinary approach to treatment gives the best results. An accurate diagnosis is dependent on a reliable pathology service, which will provide an adequate pathology report with prognostic and predictor information to allow optimal oncological treatment. Stratification of clinical practice guidelines based on resource level will ensure that women will have access to treatment even in a low-resource setting. Advocacy and civil society play a role in galvanizing the political will required to meet the challenge of providing opportunities for breast cancer control in LMICs. Collaboration between high-income countries and LMICs could be a strategy in facing these challenges.

Curcumin-loaded chitosan-cholesterol micelles: evaluation in monolayers and 3D cancer spheroid model.

PubMed

Muddineti, Omkara Swami; Kumari, Preeti; Ray, Eupa; Ghosh, Balaram; Biswas, Swati

2017-06-02

To improve the bioavailability and anticancer potential of curcumin by using a cholesterol-conjugated chitosan micelle. Methods & methods: Cholesterol was conjugated to chitosan (15 kDa) to form self-assembled micelles, which loaded curcumin. Physicochemical characterization and formulation optimization of the drug-loaded micelles (curcumin-loaded chitosan-cholesterol micelles [C-CCM]) were performed. In vitro cellular uptake and viability of C-CCM were investigated in melanoma and breast cancer cell lines. The antitumor efficacy was evaluated in 3D lung cancer spheroid model. The optimized C-CCM had size of approximately 162 nm with loading efficiency of approximately 36%. C-CCM was taken up efficiently by the cells, and it reduced cancer cell viability significantly compared with free curcumin. C-CCM enhanced the antitumor efficacy in spheroids, suggesting that C-CCM could be used as an effective chemotherapy in cancer.

[Thoughts on optimizing the breast cancer screening strategies and implementation effects].

PubMed

Wu, K J

2018-02-01

Reasonable and effective breast cancer screening can make early diagnosis of breast cancer, improve the cure rate, prolong survival and improve the patients' quality of life. China has made preliminary exploration and attempt in breast cancer screening, however, there are still some problems that have not been solved in terms of the proportion of opportunistic screening, the selection of screening targets, methods and frequency, and the judgment of screening results. Therefore, this article analyzes the above problems in details, and presents some thoughts and recommendations on how to optimize the breast cancer screening strategies and implementation effects in China, from the experience of clinical practice, under the background of constantly emerging new research results and techniques and the rapid development of artificial intelligence, that is, to adjust measures to local conditions, provide personalized strategies, achieve precise screening, preach and educate, ensure health insurance coverage, improve quality control, offer technical support and employ artificial intelligence.

Toward optimization of imaging system and lymphatic tracer for near-infrared fluorescent sentinel lymph node mapping in breast cancer.

PubMed

Mieog, J Sven D; Troyan, Susan L; Hutteman, Merlijn; Donohoe, Kevin J; van der Vorst, Joost R; Stockdale, Alan; Liefers, Gerrit-Jan; Choi, Hak Soo; Gibbs-Strauss, Summer L; Putter, Hein; Gioux, Sylvain; Kuppen, Peter J K; Ashitate, Yoshitomo; Löwik, Clemens W G M; Smit, Vincent T H B M; Oketokoun, Rafiou; Ngo, Long H; van de Velde, Cornelis J H; Frangioni, John V; Vahrmeijer, Alexander L

2011-09-01

Near-infrared (NIR) fluorescent sentinel lymph node (SLN) mapping in breast cancer requires optimized imaging systems and lymphatic tracers. A small, portable version of the FLARE imaging system, termed Mini-FLARE, was developed for capturing color video and two semi-independent channels of NIR fluorescence (700 and 800 nm) in real time. Initial optimization of lymphatic tracer dose was performed using 35-kg Yorkshire pigs and a 6-patient pilot clinical trial. More refined optimization was performed in 24 consecutive breast cancer patients. All patients received the standard of care using (99m)Technetium-nanocolloid and patent blue. In addition, 1.6 ml of indocyanine green adsorbed to human serum albumin (ICG:HSA) was injected directly after patent blue at the same location. Patients were allocated to 1 of 8 escalating ICG:HSA concentration groups from 50 to 1000 μM. The Mini-FLARE system was positioned easily in the operating room and could be used up to 13 in. from the patient. Mini-FLARE enabled visualization of lymphatic channels and SLNs in all patients. A total of 35 SLNs (mean = 1.45, range 1-3) were detected: 35 radioactive (100%), 30 blue (86%), and 35 NIR fluorescent (100%). Contrast agent quenching at the injection site and dilution within lymphatic channels were major contributors to signal strength of the SLN. Optimal injection dose of ICG:HSA ranged between 400 and 800 μM. No adverse reactions were observed. We describe the clinical translation of a new NIR fluorescence imaging system and define the optimal ICG:HSA dose range for SLN mapping in breast cancer.

Nutrition in peri-operative esophageal cancer management.

PubMed

Steenhagen, Elles; van Vulpen, Jonna K; van Hillegersberg, Richard; May, Anne M; Siersema, Peter D

2017-07-01

Nutritional status and dietary intake are increasingly recognized as essential areas in esophageal cancer management. Nutritional management of esophageal cancer is a continuously evolving field and comprises an interesting area for scientific research. Areas covered: This review encompasses the current literature on nutrition in the pre-operative, peri-operative, and post-operative phases of esophageal cancer. Both established interventions and potential novel targets for nutritional management are discussed. Expert commentary: To ensure an optimal pre-operative status and to reduce peri-operative complications, it is key to assess nutritional status in all pre-operative esophageal cancer patients and to apply nutritional interventions accordingly. Since esophagectomy results in a permanent anatomical change, a special focus on nutritional strategies is needed in the post-operative phase, including early initiation of enteral feeding, nutritional interventions for post-operative complications, and attention to long-term nutritional intake and status. Nutritional aspects of pre-optimization and peri-operative management should be incorporated in novel Enhanced Recovery After Surgery programs for esophageal cancer.

Current concepts for chronochemotherapy of cancer.

PubMed

Laerum, O D; Smaaland, R; Abrahamsen, J F

1995-01-01

In this article, a survey on the concepts and scientific basis for applying chemotherapy against malignant tumors on a circadian schedule is given. The idea is to give the cytostatic drugs at times of the day when optimal effect on the tumor is achieved, but at the same time causing minimal toxic side effects. Following a brief description of the complexity of cancer tissue, some aspects of the present status of cancer chemotherapy in general are reviewed. Applications of chronobiology in cancer treatment are then surveyed together with possibilities to increase cytostatic doses and reduce side effects. When optimal tumor cell kill is achieved, the next step is to address the circadian aspects of normal organs, including the proliferative behavior of tissues with rapid cell renewal. Finally, the question of how regulatory mechanisms responsible for normal circadian rhythms can be interfered with is addressed. Cancer chronochemotherapy today combined with modern infusional technology is a promising field for improving cancer treatment in general and reducing side effects and is expected to make important progress in the near future.

SU-E-T-625: Robustness Evaluation and Robust Optimization of IMPT Plans Based on Per-Voxel Standard Deviation of Dose Distributions.

PubMed

Liu, W; Mohan, R

2012-06-01

Proton dose distributions, IMPT in particular, are highly sensitive to setup and range uncertainties. We report a novel method, based on per-voxel standard deviation (SD) of dose distributions, to evaluate the robustness of proton plans and to robustly optimize IMPT plans to render them less sensitive to uncertainties. For each optimization iteration, nine dose distributions are computed - the nominal one, and one each for ± setup uncertainties along x, y and z axes and for ± range uncertainty. SD of dose in each voxel is used to create SD-volume histogram (SVH) for each structure. SVH may be considered a quantitative representation of the robustness of the dose distribution. For optimization, the desired robustness may be specified in terms of an SD-volume (SV) constraint on the CTV and incorporated as a term in the objective function. Results of optimization with and without this constraint were compared in terms of plan optimality and robustness using the so called'worst case' dose distributions; which are obtained by assigning the lowest among the nine doses to each voxel in the clinical target volume (CTV) and the highest to normal tissue voxels outside the CTV. The SVH curve and the area under it for each structure were used as quantitative measures of robustness. Penalty parameter of SV constraint may be varied to control the tradeoff between robustness and plan optimality. We applied these methods to one case each of H&N and lung. In both cases, we found that imposing SV constraint improved plan robustness but at the cost of normal tissue sparing. SVH-based optimization and evaluation is an effective tool for robustness evaluation and robust optimization of IMPT plans. Studies need to be conducted to test the methods for larger cohorts of patients and for other sites. This research is supported by National Cancer Institute (NCI) grant P01CA021239, the University Cancer Foundation via the Institutional Research Grant program at the University of Texas MD Anderson Cancer Center, and MD Anderson’s cancer center support grant CA016672. © 2012 American Association of Physicists in Medicine.

Brachytherapy optimization using radiobiological-based planning for high dose rate and permanent implants for prostate cancer treatment

NASA Astrophysics Data System (ADS)

Seeley, Kaelyn; Cunha, J. Adam; Hong, Tae Min

2017-01-01

We discuss an improvement in brachytherapy--a prostate cancer treatment method that directly places radioactive seeds inside target cancerous regions--by optimizing the current standard for delivering dose. Currently, the seeds' spatiotemporal placement is determined by optimizing the dose based on a set of physical, user-defined constraints. One particular approach is the ``inverse planning'' algorithms that allow for tightly fit isodose lines around the target volumes in order to reduce dose to the patient's organs at risk. However, these dose distributions are typically computed assuming the same biological response to radiation for different types of tissues. In our work, we consider radiobiological parameters to account for the differences in the individual sensitivities and responses to radiation for tissues surrounding the target. Among the benefits are a more accurate toxicity rate and more coverage to target regions for planning high-dose-rate treatments as well as permanent implants.

Helplessness/hopelessness, minimization and optimism predict survival in women with invasive ovarian cancer: a role for targeted support during initial treatment decision-making?

PubMed

Price, Melanie A; Butow, Phyllis N; Bell, Melanie L; deFazio, Anna; Friedlander, Michael; Fardell, Joanna E; Protani, Melinda M; Webb, Penelope M

2016-06-01

Women with advanced ovarian cancer generally have a poor prognosis but there is significant variability in survival despite similar disease characteristics and treatment regimens. The aim of this study was to determine whether psychosocial factors predict survival in women with ovarian cancer, controlling for potential confounders. The sample comprised 798 women with invasive ovarian cancer recruited into the Australian Ovarian Cancer Study and a subsequent quality of life study. Validated measures of depression, optimism, minimization, helplessness/hopelessness, and social support were completed 3-6 monthly for up to 2 years. Four hundred nineteen women (52.5 %) died over the follow-up period. Associations between time-varying psychosocial variables and survival were tested using adjusted Cox proportional hazard models. There was a significant interaction of psychosocial variables measured prior to first progression and overall survival, with higher optimism (adjusted hazard ratio per 1 standard deviation (HR) = 0.80, 95 % confidence interval (CI) 0.65-0.97), higher minimization (HR = 0.79, CI 0.66-0.94), and lower helplessness/hopelessness (HR = 1.40, CI 1.15-1.71) associated with longer survival. After disease progression, these variables were not associated with survival (optimism HR = 1.10, CI 0.95-1.27; minimization HR = 1.12, CI 0.95-1.31; and helplessness/hopelessness HR = 0.86, CI 0.74-1.00). Depression and social support were not associated with survival. In women with invasive ovarian cancer, psychosocial variables prior to disease progression appear to impact on overall survival, suggesting a preventive rather than modifying role. Addressing psychosocial responses to cancer and their potential impact on treatment decision-making early in the disease trajectory may benefit survival and quality of life.

Advances in diagnosis and treatment of metastatic cervical cancer

PubMed Central

2016-01-01

Cervical cancer is one of the most common cancers in women worldwide. The outcome of patients with metastatic cervical cancer is poor. We reviewed the relevant literature concerning the treatment and diagnosis of metastatic cervical cancer. There are two types of metastasis related to different treatments and survival rates: hematogenous metastasis and lymphatic metastasis. Patients with hematogenous metastasis have a higher risk of death than those with lymphatic metastasis. In terms of diagnosis, fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) and PET-computed tomography are effective tools for the evaluation of distant metastasis. Concurrent chemoradiotherapy and subsequent chemotherapy are well-tolerated and efficient for lymphatic metastasis. As for lung metastasis, chemotherapy and/or surgery are valuable treatments for resistant, recurrent metastatic cervical cancer and chemoradiotherapy may be the optimal choice for stage IVB cervical cancer. Chemotherapy and bone irradiation are promising for bone metastasis. A better survival is achieved with multimodal therapy. Craniotomy or stereotactic radiosurgery is an optimal choice combined with radiotherapy for solitary brain metastases. Chemotherapy and palliative brain radiation may be considered for multiple brain metastases and other organ metastases. PMID:27171673

Advances in diagnosis and treatment of metastatic cervical cancer.

PubMed

Li, Haoran; Wu, Xiaohua; Cheng, Xi

2016-07-01

Cervical cancer is one of the most common cancers in women worldwide. The outcome of patients with metastatic cervical cancer is poor. We reviewed the relevant literature concerning the treatment and diagnosis of metastatic cervical cancer. There are two types of metastasis related to different treatments and survival rates: hematogenous metastasis and lymphatic metastasis. Patients with hematogenous metastasis have a higher risk of death than those with lymphatic metastasis. In terms of diagnosis, fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) and PET-computed tomography are effective tools for the evaluation of distant metastasis. Concurrent chemoradiotherapy and subsequent chemotherapy are well-tolerated and efficient for lymphatic metastasis. As for lung metastasis, chemotherapy and/or surgery are valuable treatments for resistant, recurrent metastatic cervical cancer and chemoradiotherapy may be the optimal choice for stage IVB cervical cancer. Chemotherapy and bone irradiation are promising for bone metastasis. A better survival is achieved with multimodal therapy. Craniotomy or stereotactic radiosurgery is an optimal choice combined with radiotherapy for solitary brain metastases. Chemotherapy and palliative brain radiation may be considered for multiple brain metastases and other organ metastases.

[Case managers experience improved trajectories for cancer patients after implementation of the case manager function].

PubMed

Axelsen, Karina Rahbek; Nafei, Hanne; Jakobsen, Stine Finne; Gandrup, Per; Knudsen, Janne Lehmann

2015-06-08

Case managers are increasingly used to optimize trajectories for patients. This study is based on a questionnaire among case managers in cancer care, aiming at the clarification of the func­tion and its impact on especially patient safety, when handing over the responsibility. The results show a major variation in how the function is organized, the level of competence and the task to be handled. The responsibility has in general been nar­rowed to department level. Overall, the case managers believe that the function has optimized pathways for cancer patients and improved safety, but barriers persist.

Engineering an Antibiotic to Fight Cancer: Optimization of the Novobiocin Scaffold to Produce Anti-Proliferative Agents

PubMed Central

Zhao, Huiping; Donnelly, Alison C.; Kusuma, Bhaskar R.; Brandt, Gary E. L.; Brown, Douglas; Rajewski, Roger A.; Vielhauer, George; Holzbeierlein, Jeffrey; Cohen, Mark S.; Blagg, Brian S. J.

2011-01-01

Development of the DNA gyrase inhibitor, novobiocin, into a selective Hsp90 inhibitor was accomplished through structural modifications to the amide side chain, coumarin ring, and sugar moiety. These species exhibit ~700-fold improved anti-proliferative activity versus the natural product as evaluated by cellular efficacies against breast, colon, prostate, lung, and other cancer cell lines. Utilization of structure–activity relationships established for three novobiocin synthons produced optimized scaffolds, which manifest mid-nanomolar activity against a panel of cancer cell lines and serve as lead compounds that manifest their activities through Hsp90 inhibition. PMID:21553822

A guide to cancer pain management.

PubMed

Hutton, Natalie; McGee, Anne; Dunbar, Catherine

2008-10-01

Most, if not all, cancer patients require care from community teams at some stage during their disease trajectory. For many of these patients, community nurses and General Practitioners are the main point of contact. Pain is reported by between 55-95% of patients with advanced or terminal disease. Optimal pain control positively impacts on the physical, emotional and functional well-being of the patient. Despite the existence of guidelines (WHO, 1996) (SIGN, 2000) and a wealth of literature on cancer pain management, half of all patients in Western countries still do not receive adequate pain relief. This article looks at the reasons behind this and provides community nurses with an overview of up-to-date information on pain pathophysiology and management, so that the control of cancer pain can be optimized in the community.

Beyond immune checkpoint blockade: new approaches to targeting host-tumor interactions in prostate cancer: report from the 2014 Coffey-Holden prostate cancer academy meeting.

PubMed

Miyahira, Andrea K; Kissick, Haydn T; Bishop, Jennifer L; Takeda, David Y; Barbieri, Christopher E; Simons, Jonathan W; Pienta, Kenneth J; Soule, Howard R

2015-03-01

The 2014 Coffey-Holden Prostate Cancer Academy Meeting, held in La Jolla, CA from June 26 to 29, 2014, was themed: "Beyond Immune Checkpoint Blockade: New Approaches to Targeting Host-Tumor Interactions in Prostate Cancer." Sponsored by the Prostate Cancer Foundation (PCF), this annual, invitation-only meeting is structured as an action-tank, and brought together 72 investigators with diverse academic backgrounds to discuss the most relevant topics in the fields of prostate cancer immunotherapy and the tumor microenvironment. The questions addressed at the meeting included: mechanisms underlying the successes and failures of prostate cancer immunotherapies, how to trigger an effective immune response against prostate cancer, the tumor microenvironment and its role in therapy resistance and tumor metastasis, clinically relevant prostate cancer mouse models, how host-tumor interactions affect current therapies and tumor phenotypes, application of principles of precision medicine to prostate cancer immunotherapy, optimizing immunotherapy clinical trial design, and complex multi-system interactions that affect prostate cancer and immune responses including the effects of obesity and the potential role of the host microbiome. This article highlights the most significant recent progress and unmet needs that were discussed at the meeting toward the goal of speeding the development of optimal immunotherapies for the treatment of prostate cancer. © 2014 Wiley Periodicals, Inc.

SU-F-BRD-01: A Novel 4D Robust Optimization Mitigates Interplay Effect in Intensity-Modulated Proton Therapy for Lung Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, W; Shen, J; Stoker, J

2015-06-15

Purpose: To compare the impact of interplay effect on 3D and 4D robustly optimized intensity-modulated proton therapy (IMPT) plans to treat lung cancer. Methods: Two IMPT plans were created for 11 non-small-cell-lung-cancer cases with 6–14 mm spots. 3D robust optimization generated plans on average CTs with the internal gross tumor volume density overridden to deliver 66 CGyE in 33 fractions to the internal target volume (ITV). 4D robust optimization generated plans on 4D CTs with the delivery of prescribed dose to the clinical target volume (CTV). In 4D optimization, the CTV of individual 4D CT phases received non-uniform doses tomore » achieve a uniform cumulative dose. Dose evaluation software was developed to model time-dependent spot delivery to incorporate interplay effect with randomized starting phases of each field per fraction. Patient anatomy voxels were mapped from phase to phase via deformable image registration to score doses. Indices from dose-volume histograms were used to compare target coverage, dose homogeneity, and normal-tissue sparing. DVH indices were compared using Wilcoxon test. Results: Given the presence of interplay effect, 4D robust optimization produced IMPT plans with better target coverage and homogeneity, but slightly worse normal tissue sparing compared to 3D robust optimization (unit: Gy) [D95% ITV: 63.5 vs 62.0 (p=0.014), D5% - D95% ITV: 6.2 vs 7.3 (p=0.37), D1% spinal cord: 29.0 vs 29.5 (p=0.52), Dmean total lung: 14.8 vs 14.5 (p=0.12), D33% esophagus: 33.6 vs 33.1 (p=0.28)]. The improvement of target coverage (D95%,4D – D95%,3D) was related to the ratio RMA3/(TVx10−4), with RMA and TV being respiratory motion amplitude (RMA) and tumor volume (TV), respectively. Peak benefit was observed at ratios between 2 and 10. This corresponds to 125 – 625 cm3 TV with 0.5-cm RMA. Conclusion: 4D optimization produced more interplay-effect-resistant plans compared to 3D optimization. It is most effective when respiratory motion is modest compared to TV. NIH/NCI K25CA168984; Eagles Cancer Research Career Development; The Lawrence W. and Marilyn W. Matteson Fund for Cancer Research; Mayo ASU Seed Grant; The Kemper Marley Foundation.« less

Using an Ocean of Data, Researchers Model Real-Life Benefits of Cancer Screening

Cancer.gov

Using the results of screening trials, the NCI Cancer Intervention and Surveillance Modeling Network is trying to estimate the true benefit of cancer screening in the general population and identify the optimal way to implement screening within the health care system.

Optimal primary surgical treatment for advanced epithelial ovarian cancer.

PubMed

Elattar, Ahmed; Bryant, Andrew; Winter-Roach, Brett A; Hatem, Mohamed; Naik, Raj

2011-08-10

Ovarian cancer is the sixth most common cancer among women. In addition to diagnosis and staging, primary surgery is performed to achieve optimal cytoreduction (surgical efforts aimed at removing the bulk of the tumour) as the amount of residual tumour is one of the most important prognostic factors for survival of women with epithelial ovarian cancer. An optimal outcome of cytoreductive surgery remains a subject of controversy to many practising gynae-oncologists. The Gynaecologic Oncology group (GOG) currently defines 'optimal' as having residual tumour nodules each measuring 1 cm or less in maximum diameter, with complete cytoreduction (microscopic disease) being the ideal surgical outcome. Although the size of residual tumour masses after surgery has been shown to be an important prognostic factor for advanced ovarian cancer, it is unclear whether it is the surgical procedure that is directly responsible for the superior outcome that is associated with less residual disease. To evaluate the effectiveness and safety of optimal primary cytoreductive surgery for women with surgically staged advanced epithelial ovarian cancer (stages III and IV).To assess the impact of various residual tumour sizes, over a range between zero and 2 cm, on overall survival. We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library 2010, Issue 3) and the Cochrane Gynaecological Cancer Review Group Trials Register, MEDLINE and EMBASE (up to August 2010). We also searched registers of clinical trials, abstracts of scientific meetings, reference lists of included studies and contacted experts in the field. Retrospective data on residual disease from randomised controlled trials (RCTs) or prospective and retrospective observational studies which included a multivariate analysis of 100 or more adult women with surgically staged advanced epithelial ovarian cancer and who underwent primary cytoreductive surgery followed by adjuvant platinum-based chemotherapy. We only included studies that defined optimal cytoreduction as surgery leading to residual tumours with a maximum diameter of any threshold up to 2 cm. Two review authors independently abstracted data and assessed risk of bias. Where possible, the data were synthesised in a meta-analysis. There were no RCTs or prospective non-RCTs identified that were designed to evaluate the effectiveness of surgery when performed as a primary procedure in advanced stage ovarian cancer.We found 11 retrospective studies that included a multivariate analysis that met our inclusion criteria. Analyses showed the prognostic importance of complete cytoreduction, where the residual disease was microscopic that is no visible disease, as overall (OS) and progression-free survival (PFS) were significantly prolonged in these groups of women. PFS was not reported in all of the studies but was sufficiently documented to allow firm conclusions to be drawn.When we compared suboptimal (> 1 cm) versus optimal (< 1 cm) cytoreduction the survival estimates were attenuated but remained statistically significant in favour of the lower volume disease group There was no significant difference in OS and only a borderline difference in PFS when residual disease of > 2 cm and < 2 cm were compared (hazard ratio (HR) 1.65, 95% CI 0.82 to 3.31; and HR 1.27, 95% CI 1.00 to 1.61, P = 0.05 for OS and PFS respectively).There was a high risk of bias due to the retrospective nature of these studies where, despite statistical adjustment for important prognostic factors, selection bias was still likely to be of particular concern.Adverse events, quality of life (QoL) and cost-effectiveness were not reported by treatment arm or to a satisfactory level in any of the studies. During primary surgery for advanced stage epithelial ovarian cancer all attempts should be made to achieve complete cytoreduction. When this is not achievable, the surgical goal should be optimal (< 1 cm) residual disease. Due to the high risk of bias in the current evidence, randomised controlled trials should be performed to determine whether it is the surgical intervention or patient-related and disease-related factors that are associated with the improved survival in these groups of women. The findings of this review that women with residual disease < 1 cm still do better than women with residual disease > 1 cm should prompt the surgical community to retain this category and consider re-defining it as 'near optimal' cytoreduction, reserving the term 'suboptimal' cytoreduction to cases where the residual disease is > 1 cm (optimal/near optimal/suboptimal instead of complete/optimal/suboptimal).

Impact of respiratory motion on worst-case scenario optimized intensity modulated proton therapy for lung cancers.

PubMed

Liu, Wei; Liao, Zhongxing; Schild, Steven E; Liu, Zhong; Li, Heng; Li, Yupeng; Park, Peter C; Li, Xiaoqiang; Stoker, Joshua; Shen, Jiajian; Keole, Sameer; Anand, Aman; Fatyga, Mirek; Dong, Lei; Sahoo, Narayan; Vora, Sujay; Wong, William; Zhu, X Ronald; Bues, Martin; Mohan, Radhe

2015-01-01

We compared conventionally optimized intensity modulated proton therapy (IMPT) treatment plans against worst-case scenario optimized treatment plans for lung cancer. The comparison of the 2 IMPT optimization strategies focused on the resulting plans' ability to retain dose objectives under the influence of patient setup, inherent proton range uncertainty, and dose perturbation caused by respiratory motion. For each of the 9 lung cancer cases, 2 treatment plans were created that accounted for treatment uncertainties in 2 different ways. The first used the conventional method: delivery of prescribed dose to the planning target volume that is geometrically expanded from the internal target volume (ITV). The second used a worst-case scenario optimization scheme that addressed setup and range uncertainties through beamlet optimization. The plan optimality and plan robustness were calculated and compared. Furthermore, the effects on dose distributions of changes in patient anatomy attributable to respiratory motion were investigated for both strategies by comparing the corresponding plan evaluation metrics at the end-inspiration and end-expiration phase and absolute differences between these phases. The mean plan evaluation metrics of the 2 groups were compared with 2-sided paired Student t tests. Without respiratory motion considered, we affirmed that worst-case scenario optimization is superior to planning target volume-based conventional optimization in terms of plan robustness and optimality. With respiratory motion considered, worst-case scenario optimization still achieved more robust dose distributions to respiratory motion for targets and comparable or even better plan optimality (D95% ITV, 96.6% vs 96.1% [P = .26]; D5%- D95% ITV, 10.0% vs 12.3% [P = .082]; D1% spinal cord, 31.8% vs 36.5% [P = .035]). Worst-case scenario optimization led to superior solutions for lung IMPT. Despite the fact that worst-case scenario optimization did not explicitly account for respiratory motion, it produced motion-resistant treatment plans. However, further research is needed to incorporate respiratory motion into IMPT robust optimization. Copyright © 2015 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

SU-E-T-452: Impact of Respiratory Motion On Robustly-Optimized Intensity-Modulated Proton Therapy to Treat Lung Cancers

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, W; Schild, S; Bues, M

Purpose: We compared conventionally optimized intensity-modulated proton therapy (IMPT) treatment plans against the worst-case robustly optimized treatment plans for lung cancer. The comparison of the two IMPT optimization strategies focused on the resulting plans' ability to retain dose objectives under the influence of patient set-up, inherent proton range uncertainty, and dose perturbation caused by respiratory motion. Methods: For each of the 9 lung cancer cases two treatment plans were created accounting for treatment uncertainties in two different ways: the first used the conventional Method: delivery of prescribed dose to the planning target volume (PTV) that is geometrically expanded from themore » internal target volume (ITV). The second employed the worst-case robust optimization scheme that addressed set-up and range uncertainties through beamlet optimization. The plan optimality and plan robustness were calculated and compared. Furthermore, the effects on dose distributions of the changes in patient anatomy due to respiratory motion was investigated for both strategies by comparing the corresponding plan evaluation metrics at the end-inspiration and end-expiration phase and absolute differences between these phases. The mean plan evaluation metrics of the two groups were compared using two-sided paired t-tests. Results: Without respiratory motion considered, we affirmed that worst-case robust optimization is superior to PTV-based conventional optimization in terms of plan robustness and optimality. With respiratory motion considered, robust optimization still leads to more robust dose distributions to respiratory motion for targets and comparable or even better plan optimality [D95% ITV: 96.6% versus 96.1% (p=0.26), D5% - D95% ITV: 10.0% versus 12.3% (p=0.082), D1% spinal cord: 31.8% versus 36.5% (p =0.035)]. Conclusion: Worst-case robust optimization led to superior solutions for lung IMPT. Despite of the fact that robust optimization did not explicitly account for respiratory motion it produced motion-resistant treatment plans. However, further research is needed to incorporate respiratory motion into IMPT robust optimization.« less

A compact microwave patch applicator for hyperthermia treatment of cancer.

PubMed

Chakaravarthi, Geetha; Arunachalam, Kavitha

2014-01-01

Design and development of a compact microstrip C-type patch applicator for hyperthermia treatment of cancer is presented. The patch antenna is optimized for resonance at 434 MHz, return loss (S11) better than -15dB and co-polarized electric field in tissue. Effect of water bolus thickness on power delivery is studied for improved power coupling. Numerical simulations for antenna design optimization carried out using EM simulation software, Ansys HFSS(®), USA were experimentally verified. The effective field coverage for the optimized patch antenna and experimental results indicate that the compact antenna resonates at ISM frequency 434 MHz with better than -15 dB power coupling.

Speedup of lexicographic optimization by superiorization and its applications to cancer radiotherapy treatment

NASA Astrophysics Data System (ADS)

Bonacker, Esther; Gibali, Aviv; Küfer, Karl-Heinz; Süss, Philipp

2017-04-01

Multicriteria optimization problems occur in many real life applications, for example in cancer radiotherapy treatment and in particular in intensity modulated radiation therapy (IMRT). In this work we focus on optimization problems with multiple objectives that are ranked according to their importance. We solve these problems numerically by combining lexicographic optimization with our recently proposed level set scheme, which yields a sequence of auxiliary convex feasibility problems; solved here via projection methods. The projection enables us to combine the newly introduced superiorization methodology with multicriteria optimization methods to speed up computation while guaranteeing convergence of the optimization. We demonstrate our scheme with a simple 2D academic example (used in the literature) and also present results from calculations on four real head neck cases in IMRT (Radiation Oncology of the Ludwig-Maximilians University, Munich, Germany) for two different choices of superiorization parameter sets suited to yield fast convergence for each case individually or robust behavior for all four cases.

High-resolution computed tomography of single breast cancer microcalcifications in vivo.

PubMed

Inoue, Kazumasa; Liu, Fangbing; Hoppin, Jack; Lunsford, Elaine P; Lackas, Christian; Hesterman, Jacob; Lenkinski, Robert E; Fujii, Hirofumi; Frangioni, John V

2011-08-01

Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. In this study, we hypothesized that high-resolution computed tomography (CT) could potentially detect the genesis of a single microcalcification in vivo and quantify its growth over time. Using a commercial CT scanner, we systematically optimized acquisition and reconstruction parameters. Two ray-tracing image reconstruction algorithms were tested: a voxel-driven "fast" cone beam algorithm (FCBA) and a detector-driven "exact" cone beam algorithm (ECBA). By optimizing acquisition and reconstruction parameters, we were able to achieve a resolution of 104 μm full width at half-maximum (FWHM). At an optimal detector sampling frequency, the ECBA provided a 28 μm (21%) FWHM improvement in resolution over the FCBA. In vitro, we were able to image a single 300 μm × 100 μm hydroxyapatite crystal. In a syngeneic rat model of breast cancer, we were able to detect the genesis of a single microcalcification in vivo and follow its growth longitudinally over weeks. Taken together, this study provides an in vivo "gold standard" for the development of calcification-specific contrast agents and a model system for studying the mechanism of breast cancer microcalcification.

Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry.

PubMed

Tan, Zhijing; Yin, Haidi; Nie, Song; Lin, Zhenxin; Zhu, Jianhui; Ruffin, Mack T; Anderson, Michelle A; Simeone, Diane M; Lubman, David M

2015-04-03

Glycosylation has significant effects on protein function and cell metastasis, which are important in cancer progression. It is of great interest to identify site-specific glycosylation in search of potential cancer biomarkers. However, the abundance of glycopeptides is low compared to that of nonglycopeptides after trypsin digestion of serum samples, and the mass spectrometric signals of glycopeptides are often masked by coeluting nonglycopeptides due to low ionization efficiency. Selective enrichment of glycopeptides from complex serum samples is essential for mass spectrometry (MS)-based analysis. Herein, a strategy has been optimized using LCA enrichment to improve the identification of core-fucosylation (CF) sites in serum of pancreatic cancer patients. The optimized strategy was then applied to analyze CF glycopeptide sites in 13 sets of serum samples from pancreatic cancer, chronic pancreatitis, healthy controls, and a standard reference. In total, 630 core-fucosylation sites were identified from 322 CF proteins in pancreatic cancer patient serum using an Orbitrap Elite mass spectrometer. Further data analysis revealed that 8 CF peptides exhibited a significant difference between pancreatic cancer and other controls, which may be potential diagnostic biomarkers for pancreatic cancer.

Access to anti-cancer drugs in India: is there a need to revise reimbursement policies?

PubMed

Haitsma, Gertruud; Patel, Himanshu; Gurumurthy, Parthasarathi; Postma, Maarten J

2018-06-01

The aim of this study was to examine the access of Indian cancer patients to optimum cancer care under selected government schemes by reviewing reimbursement schemes for cancer care in India. All cancer care reimbursement schemes in India were identified and three highly utilized schemes (VAS, RAS, CMCHS) were selected. Quality of breast, colorectal, lung, head & neck, and gastric cancer care was reviewed with respect to NCCN guidelines. Direct medical costs and shortage of budget in reimbursed amounts were calculated for each listed chemotherapy regimen. Medical oncology practice following the schemes' formularies is inferior to recommendations by the NCCN guidelines. Innovative treatment (targeted therapies) like trastuzumab, pertuzumab (breast), bevacizumab, cetuximab, panitumumab (colorectal), erlotinib, gefitinib, crizotinib, and nivolumab (lung) are either not reimbursed (VAS, CMCHS) or partially reimbursed (RAS). Average shortage of budget was found to be 43% (breast), 55% (colorectal), 74% (lung), 7% (head & neck), and 51% (gastric cancer). Policy makers should consider addition of newer treatments, exclusion of sub-optimal treatments, increments in per patient budget and optimization of supportive care, which may contribute to improvements in survival and quality of life for Indian cancer patients.

Optimal control of multiplicative control systems arising from cancer therapy

NASA Technical Reports Server (NTRS)

Bahrami, K.; Kim, M.

1975-01-01

This study deals with ways of curtailing the rapid growth of cancer cell populations. The performance functional that measures the size of the population at the terminal time as well as the control effort is devised. With use of the discrete maximum principle, the Hamiltonian for this problem is determined and the condition for optimal solutions are developed. The optimal strategy is shown to be a bang-bang control. It is shown that the optimal control for this problem must be on the vertices of an N-dimensional cube contained in the N-dimensional Euclidean space. An algorithm for obtaining a local minimum of the performance function in an orderly fashion is developed. Application of the algorithm to the design of antitumor drug and X-irradiation schedule is discussed.

Patients' understanding of treatment goals and disease course and their relationship with optimism, hope, and quality of life: a preliminary study among advanced breast cancer outpatients before receiving palliative treatment.

PubMed

Soylu, Cem; Babacan, Taner; Sever, Ali R; Altundag, Kadri

2016-08-01

The aims of this study were to explore advanced breast cancer patients' knowledge of treatment intent and expectation of illness course and to evaluate their relationship with optimism, hope, and quality of life (QoL). Patients with advanced breast cancer (n = 55) who were treated in the ambulatory clinic of the University of Hacettepe were included in the study. They completed Life Orientation Scale, The Hope Scale, and the European Organization for Research and Treatment of Cancer Quality of Life questionnaires. The data regarding the knowledge of illness progression and the perceptions of therapy intent were assessed using self-administered open-ended questionnaires that were answered by the patients. The data revealed that 58.2 % of the patients had an inaccurate perception of treatment intent, believing the aim of treatment was cure, whereas only 38.2 % of the patients had a realistic expectation that their disease may remain stable or may progress over a year. In addition, the awareness of disease progression and perception of goals of treatment was significantly related to hope and optimism scores but not to QoL. A large proportion of patients diagnosed with advanced breast cancer believed that their treatment was "curative", and they would improve within a year. Findings of our study suggest that patients with inaccurate perception of treatment intent and unrealistic expectation of prognosis have higher hope and optimism scores than those who do not, but there were no significant differences in terms of global health status.

Using a Delphi process to determine optimal care for patients with pancreatic cancer.

PubMed

Burmeister, Elizabeth A; Jordan, Susan J; O'Connell, Dianne L; Beesley, Vanessa L; Goldstein, David; Gooden, Helen M; Janda, Monika; Merrett, Neil D; Wyld, David; Neale, Rachel E

2016-06-01

Overall 5-year survival for pancreatic cancer is ∼5%. Optimizing the care that pancreatic cancer patients receive may be one way of improving outcomes. The objective of this study was to establish components of care which Australian health professionals believe important to optimally manage patients with pancreatic cancer. Using a Delphi process, a multidisciplinary panel of 250 health professionals were invited to provide a list of factors they considered important for optimal care of pancreatic cancer patients. They were then asked to score and then rescore (from one [no importance/disagree] to 10 [very important/agree]) the factors. The mean and coefficient of variation scores were calculated and categorized into three levels of importance. Overall, 63 (66% of those sent the final questionnaire; 25% of those initially invited) health professionals from nine disciplines completed the final scoring of 55 statements/factors encompassing themes of presentation/staging, surgery and biliary obstruction, multidisciplinary team details and oncology. Mean scores ranged from 3.7 to 9.7 with the highest related to communication and patient assessment. There was substantial intra- and interdisciplinary variation in views about MDT membership and roles. Overall, the opinions of Australian health professionals reflect international guideline recommended care; however, they identified a number of additional factors focusing on where patients should be treated, the importance of clear communication and the need for multidisciplinary care which were not included in current clinical practice guidelines. Differences in priorities between specialty groups were also identified. © 2016 John Wiley & Sons Australia, Ltd.

MIT - Massachusetts Institute of Technology

Science.gov Websites

energy cancer diversity global industry public service Solve The MIT Campaign for a Better World give to produce electricity Drug-carrying nanoparticles could help fight brain cancer Drug-carrying nanoparticles could help fight brain cancer New dispatching approach optimizes a city's taxi fleet New dispatching

The Victorian Lung Cancer Registry pilot: improving the quality of lung cancer care through the use of a disease quality registry.

PubMed

Stirling, Rob G; Evans, S M; McLaughlin, P; Senthuren, M; Millar, J; Gooi, J; Irving, L; Mitchell, P; Haydon, A; Ruben, J; Conron, M; Leong, T; Watkins, N; McNeil, J J

2014-10-01

Lung cancer remains a major disease burden in Victoria (Australia) and requires a complex and multidisciplinary approach to ensure optimal care and outcomes. To date, no uniform mechanism is available to capture standardized population-based outcomes and thereby provide benchmarking. The establishment of such a data platform is, therefore, a primary requisite to enable description of process and outcome in lung cancer care and to drive improvement in the quality of care provided to individuals with lung cancer. A disease quality registry pilot has been established to capture prospective data on all adult patients with clinical or tissue diagnoses of small cell and non-small cell lung cancer. Steering and management committees provide clinical governance and supervise quality indicator selection. Quality indicators were selected following extensive literature review and evaluation of established clinical practice guidelines. A minimum dataset has been established and training and data capture by data collectors is facilitated using a web-based portal. Case ascertainment is established by regular institutional reporting of ICD-10 discharge coding. Recruitment is optimized by provision of opt-out consent. The collection of a standardized minimum data set optimizes capacity for harmonized population-based data capture. Data collection has commenced in a variety of settings reflecting metropolitan and rural, and public, and private health care institutions. The data set provides scope for the construction of a risk-adjusted model for outcomes. A data access policy and a mechanism for escalation policy for outcome outliers has been established. The Victorian Lung Cancer Registry provides a unique capacity to provide and confirm quality assessment in lung cancer and to drive improvement in quality of care across multidisciplinary stakeholders.

Optimized Volumetric Modulated Arc Therapy Versus 3D-CRT for Early Stage Mediastinal Hodgkin Lymphoma Without Axillary Involvement: A Comparison of Second Cancers and Heart Disease Risk

DOE Office of Scientific and Technical Information (OSTI.GOV)

Filippi, Andrea Riccardo, E-mail: andreariccardo.filippi@unito.it; Ragona, Riccardo; Piva, Cristina

Purpose: The purpose of this study was to evaluate the risks of second cancers and cardiovascular diseases associated with an optimized volumetric modulated arc therapy (VMAT) planning solution in a selected cohort of stage I/II Hodgkin lymphoma (HL) patients treated with either involved-node or involved-site radiation therapy in comparison with 3-dimensional conformal radiation therapy (3D-CRT). Methods and Materials: Thirty-eight patients (13 males and 25 females) were included. Disease extent was mediastinum alone (n=8, 21.1%); mediastinum plus unilateral neck (n=19, 50%); mediastinum plus bilateral neck (n=11, 29.9%). Prescription dose was 30 Gy in 2-Gy fractions. Only 5 patients had mediastinal bulkymore » disease at diagnosis (13.1%). Anteroposterior 3D-CRT was compared with a multiarc optimized VMAT solution. Lung, breast, and thyroid cancer risks were estimated by calculating a lifetime attributable risk (LAR), with a LAR ratio (LAR{sub VMAT}-to-LAR{sub 3D-CRT}) as a comparative measure. Cardiac toxicity risks were estimated by calculating absolute excess risk (AER). Results: The LAR ratio favored 3D-CRT for lung cancer induction risk in mediastinal alone (P=.004) and mediastinal plus unilateral neck (P=.02) presentations. LAR ratio for breast cancer was lower for VMAT in mediastinal plus bilateral neck presentations (P=.02), without differences for other sites. For thyroid cancer, no significant differences were observed, regardless of anatomical presentation. A significantly lower AER of cardiac (P=.038) and valvular diseases (P<.0001) was observed for VMAT regardless of disease extent. Conclusions: In a cohort of patients with favorable characteristics in terms of disease extent at diagnosis (large prevalence of nonbulky presentations without axillary involvement), optimized VMAT reduced heart disease risk with comparable risks of thyroid and breast cancer, with an increase in lung cancer induction probability. The results are however strongly influenced by the different anatomical presentations, supporting an individualized approach.« less

Surgical Treatment of Recurrent Endometrial Cancer: Time for a Paradigm Shift.

PubMed

Papadia, Andrea; Bellati, Filippo; Ditto, Antonino; Bogani, Giorgio; Gasparri, Maria Luisa; Di Donato, Violante; Martinelli, Fabio; Lorusso, Domenica; Benedetti-Panici, Pierluigi; Raspagliesi, Francesco

2015-12-01

Although surgery represents the cornerstone treatment of endometrial cancer at initial diagnosis, scarce data are available in recurrent setting. The purpose of this study was to review the outcome of surgery in these patients. Medical records of all patients undergoing surgery for recurrent endometrial cancer at NCI Milano between January 2003 and January 2014 were reviewed. Survival was determined from the time of surgery for recurrence to last follow-up. Survival was estimated using Kaplan-Meier methods. Differences in survival were analyzed using the log-rank test. The Fisher's exact test was used to compare optimal versus suboptimal cytoreduction against possible predictive factors. Sixty-four patients were identified. Median age was 66 years. Recurrences were multiple in 38 % of the cases. Optimal cytoreduction was achieved in 65.6 %. Median OR time was 165 min, median postoperative hemoglobin drop was 2.4 g/dl, and median length hospital stay was 5.5 days. Eleven patients developed postoperative complications, but only four required surgical management. Estimated 5-year progression-free survival (PFS) was 42 and 19 % in optimally and suboptimally cytoreduced patients, respectively. At multivariate analysis, only residual disease was associated with PFS. Estimated 5-year overall survival (OS) was 60 and 30 % in optimally and suboptimally cytoreduced patients, respectively. At multivariate analysis, residual disease and histotype were associated with OS. At multivariate analysis, only performance status was associated with optimal cytoreduction. Secondary cytoreduction in endometrial cancer is associated with long PFS and OS. The only factors associated with improved long-term outcome are the absence of residual disease at the end of surgical resection and histotype.

Exploratory Study of 4D versus 3D Robust Optimization in Intensity Modulated Proton Therapy for Lung Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, Wei, E-mail: Liu.Wei@mayo.edu; Schild, Steven E.; Chang, Joe Y.

Purpose: The purpose of this study was to compare the impact of uncertainties and interplay on 3-dimensional (3D) and 4D robustly optimized intensity modulated proton therapy (IMPT) plans for lung cancer in an exploratory methodology study. Methods and Materials: IMPT plans were created for 11 nonrandomly selected non-small cell lung cancer (NSCLC) cases: 3D robustly optimized plans on average CTs with internal gross tumor volume density overridden to irradiate internal target volume, and 4D robustly optimized plans on 4D computed tomography (CT) to irradiate clinical target volume (CTV). Regular fractionation (66 Gy [relative biological effectiveness; RBE] in 33 fractions) was considered.more » In 4D optimization, the CTV of individual phases received nonuniform doses to achieve a uniform cumulative dose. The root-mean-square dose-volume histograms (RVH) measured the sensitivity of the dose to uncertainties, and the areas under the RVH curve (AUCs) were used to evaluate plan robustness. Dose evaluation software modeled time-dependent spot delivery to incorporate interplay effect with randomized starting phases of each field per fraction. Dose-volume histogram (DVH) indices comparing CTV coverage, homogeneity, and normal tissue sparing were evaluated using Wilcoxon signed rank test. Results: 4D robust optimization plans led to smaller AUC for CTV (14.26 vs 18.61, respectively; P=.001), better CTV coverage (Gy [RBE]) (D{sub 95%} CTV: 60.6 vs 55.2, respectively; P=.001), and better CTV homogeneity (D{sub 5%}-D{sub 95%} CTV: 10.3 vs 17.7, resspectively; P=.002) in the face of uncertainties. With interplay effect considered, 4D robust optimization produced plans with better target coverage (D{sub 95%} CTV: 64.5 vs 63.8, respectively; P=.0068), comparable target homogeneity, and comparable normal tissue protection. The benefits from 4D robust optimization were most obvious for the 2 typical stage III lung cancer patients. Conclusions: Our exploratory methodology study showed that, compared to 3D robust optimization, 4D robust optimization produced significantly more robust and interplay-effect-resistant plans for targets with comparable dose distributions for normal tissues. A further study with a larger and more realistic patient population is warranted to generalize the conclusions.« less

Novel Strategies on Personalized Medicine for Breast Cancer Treatment: An Update.

PubMed

Chan, Carmen W H; Law, Bernard M H; So, Winnie K W; Chow, Ka Ming; Waye, Mary M Y

2017-11-15

Breast cancer is the most common cancer type among women worldwide. With breast cancer patients and survivors being reported to experience a repertoire of symptoms that are detrimental to their quality of life, the development of breast cancer treatment strategies that are effective with minimal side effects is therefore required. Personalized medicine, the treatment process that is tailored to the individual needs of each patient, is recently gaining increasing attention for its prospect in the development of effective cancer treatment regimens. Indeed, recent studies have identified a number of genes and molecules that may be used as biomarkers for predicting drug response and severity of common cancer-associated symptoms. These would provide useful clues not only for the determination of the optimal drug choice/dosage to be used in personalized treatment, but also for the identification of gene or molecular targets for the development of novel symptom management strategies, which ultimately would lead to the development of more personalized therapies for effective cancer treatment. In this article, recent studies that would provide potential new options for personalized therapies for breast cancer patients and survivors are reviewed. We suggest novel strategies, including the optimization of drug choice/dosage and the identification of genetic changes that are associated with cancer symptom occurrence and severity, which may help in enhancing the effectiveness and acceptability of the currently available cancer therapies.

Pilates and Dance to Breast Cancer Patients Undergoing Treatment

ClinicalTrials.gov

2017-08-12

Breast Cancer; Quality of Life; Lymphedema; Fatigue; Depressive Symptoms; Body Image; Self Esteem; Optimism; Sexual Function Disturbances; Stress; Sleep Disturbance; Pain; Muscular Weakness; Postural Balance; Range of Motion; Cardiorespiratory Fitness

Nonlinear system identification for prostate cancer and optimality of intermittent androgen suppression therapy.

PubMed

Suzuki, Taiji; Aihara, Kazuyuki

2013-09-01

These days prostate cancer is one of the most common types of malignant neoplasm in men. Androgen ablation therapy (hormone therapy) has been shown to be effective for advanced prostate cancer. However, continuous hormone therapy often causes recurrence. This results from the progression of androgen-dependent cancer cells to androgen-independent cancer cells during the continuous hormone therapy. One possible method to prevent the progression to the androgen-independent state is intermittent androgen suppression (IAS) therapy, which ceases dosing intermittently. In this paper, we propose two methods to estimate the dynamics of prostate cancer, and investigate the IAS therapy from the viewpoint of optimality. The two methods that we propose for dynamics estimation are a variational Bayesian method for a piecewise affine (PWA) system and a Gaussian process regression method. We apply the proposed methods to real clinical data and compare their predictive performances. Then, using the estimated dynamics of prostate cancer, we observe how prostate cancer behaves for various dosing schedules. It can be seen that the conventional IAS therapy is a way of imposing high cost for dosing while keeping the prostate cancer in a safe state. We would like to dedicate this paper to the memory of Professor Luigi M. Ricciardi. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

SU-D-BRB-06: Treating Glioblastoma Multiforme (GBM) as a Chronic Disease: Implication of Temporal-Spatial Dose Fractionation Optimization Including Cancer Stem Cell Dynamics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yu, V; Nguyen, D; Pajonk, F

Purpose: To explore the feasibility of improving GBM treatment outcome with temporal-spatial dose optimization of an ordinary differential equation (ODE) that models the differentiation and distinct radiosensitivity between cancer stem cells (CSC) and differentiated cancer cells (DCC). Methods: The ODE was formulated into a non-convex optimization problem with the objective to minimize remaining total cancer cells 500 days from the onset of radiotherapy when the total cancer cell number was 3.5×10{sup 7}, while maintaining normal tissue biological effective dose (BED) of 100Gy resulted from standard prescription of 2Gyx30. Assuming spatially separated CSC and DCC, optimization was also performed to exploremore » the potential benefit from dose-painting the two compartments. Dose escalation to a sub-cell-population in the GTV was also examined assuming that a 2 cm margin around the GTV allows sufficient dose drop-off to 100Gy BED. The recurrence time was determined as the time at which the total cancer cell number regrows to 10{sup 9} cells. Results: The recurrence time with variable fractional doses administered once per week, bi-week and month for one year were found to be 615, 593 and 570 days, superior to the standard-prescription recurrence time of 418 days. The optimal dose-fraction size progression for both uniform and dose-painting to the tumor is low and relatively constant in the beginning and gradually increases to more aggressive fractions at end of the treatment course. Dose escalation to BED of 200Gy to the whole tumor alongside with protracted weekly treatment was found to further delay recurrence to 733 days. Dose-painting of 200 and 500Gy BED to CSC on a year-long weekly schedule further extended recurrence to 736 and 1076 days, respectively. Conclusion: GBM treatment outcome can possibly be improved with a chronic treatment approach. Further dose escalation to the entire tumor or CSC targeted killing is needed to achieve total tumor control. This work is supported by the NSF Graduate Research Fellowship (DGE-1144087)« less

Estimating radiotherapy demands in South East Asia countries in 2025 and 2035 using evidence-based optimal radiotherapy fractions.

PubMed

Yahya, Noorazrul; Roslan, Nurhaziqah

2018-01-08

As about 50% of cancer patients may require radiotherapy, the demand of radiotherapy as the main treatment to treat cancer is likely to rise due to rising cancer incidence. This study aims to quantify the radiotherapy demand in countries in Southeast Asia (SEA) in 2025 and 2035 using evidence-based optimal radiotherapy fractions. SEA country-specific cancer incidence by tumor site for 2015, 2025 and 2035 was extracted from the GLOBOCAN database. We utilized the optimal radiotherapy utilization rate model by Wong et al. (2016) to calculate the optimal number of fractions for all tumor sites in each SEA country. The available machines (LINAC & Co-60) were extracted from the IAEA's Directory of Radiotherapy Centres (DIRAC) from which the number of available fractions was calculated. The incidence of cancers in SEA countries are expected to be 1.1 mil cases (2025) and 1.4 mil (2035) compared to 0.9 mil (2015). The number of radiotherapy fractions needed in 2025 and 2035 are 11.1 and 14.1 mil, respectively, compared to 7.6 mil in 2015. In 2015, the radiotherapy fulfillment rate (RFR; required fractions/available fractions) varied between countries with Brunei, Singapore and Malaysia are highest (RFR > 1.0 - available fractions > required fractions), whereas Cambodia, Indonesia, Laos, Myanmar, Philippines, Timor-Leste and Vietnam have RFR < 0.5. RFR is correlated to GDP per capita (ρ = 0.73, P = 0.01). To allow RFR ≥1 in 2025 and 2035, another 866 and 1177 machines are required, respectively. The number are lower if longer running hours are implemented. With the optimal number of radiotherapy fractions, estimation for number of machines required can be obtained which will guide acquisition of machines in SEA countries. RFR is low with access varied based on the economic status. © 2018 John Wiley & Sons Australia, Ltd.

Optimization for high-dose-rate brachytherapy of cervical cancer with adaptive simulated annealing and gradient descent.

PubMed

Yao, Rui; Templeton, Alistair K; Liao, Yixiang; Turian, Julius V; Kiel, Krystyna D; Chu, James C H

2014-01-01

To validate an in-house optimization program that uses adaptive simulated annealing (ASA) and gradient descent (GD) algorithms and investigate features of physical dose and generalized equivalent uniform dose (gEUD)-based objective functions in high-dose-rate (HDR) brachytherapy for cervical cancer. Eight Syed/Neblett template-based cervical cancer HDR interstitial brachytherapy cases were used for this study. Brachytherapy treatment plans were first generated using inverse planning simulated annealing (IPSA). Using the same dwell positions designated in IPSA, plans were then optimized with both physical dose and gEUD-based objective functions, using both ASA and GD algorithms. Comparisons were made between plans both qualitatively and based on dose-volume parameters, evaluating each optimization method and objective function. A hybrid objective function was also designed and implemented in the in-house program. The ASA plans are higher on bladder V75% and D2cc (p=0.034) and lower on rectum V75% and D2cc (p=0.034) than the IPSA plans. The ASA and GD plans are not significantly different. The gEUD-based plans have higher homogeneity index (p=0.034), lower overdose index (p=0.005), and lower rectum gEUD and normal tissue complication probability (p=0.005) than the physical dose-based plans. The hybrid function can produce a plan with dosimetric parameters between the physical dose-based and gEUD-based plans. The optimized plans with the same objective value and dose-volume histogram could have different dose distributions. Our optimization program based on ASA and GD algorithms is flexible on objective functions, optimization parameters, and can generate optimized plans comparable with IPSA. Copyright © 2014 American Brachytherapy Society. Published by Elsevier Inc. All rights reserved.

How to reduce your cancer risk: mechanisms and myths

PubMed Central

Nahleh, Zeina; Bhatti, Narinder Singh; Mal, Meenakshi

2011-01-01

Cancer prevention continues to be a high research priority and the most optimal way to ultimately lower the economic and psychological burden of cancer. Many known risk factors associated with cancer are related to dietary and lifestyle factors and can be avoided. These risk factors include among others, smoking, obesity, alcohol, physical inactivity, and carcinogens in diet. This article reviews the biological mechanisms leading to cancer in association with these factors, highlights important achievable cancer prevention methods, addresses commonly asked questions about lifestyle and cancer, and dispels some of the myths about cancer prevention. PMID:21556314

Characteristics associated with use of complementary health approaches among long-term cancer survivors

PubMed Central

Sohl, Stephanie J.; Weaver, Kathryn E.; Birdee, Gurjeet; Kent, Erin E.; Danhauer, Suzanne C.; Hamilton, Ann S.

2014-01-01

Purpose To identify the prevalence and characteristics of long-term adult cancer survivors who use complementary health approaches (CHA). Methods Participants completed the Follow-up Care Use Among Survivors (FOCUS) Survey, a cross-sectional investigation of long-term cancer survivors. Use of CHA and reasons for use were assessed. A multivariable logistic regression model was applied to identify if predisposing, enabling and need characteristics described in the Complementary and Alternative Medicine Healthcare Model were associated with CHA use in the past year. Results Long-term cancer survivors in the study (N=1,666) were predominately female (62%) and older (mean age=69.5), with breast, prostate, colorectal, ovarian and endometrial cancers. Thirty-three percent of survivors used CHA in the past year. Common reasons for CHA use were: to relieve stress (28%), treat or prevent cancer (21%), relieve cancer-related symptoms (18%), and deal with another condition (18%). Predisposing (i.e., higher optimism) and need factors (i.e., experienced cancer-related symptoms, ever had depression/anxiety) were significantly associated with CHA (p-values <0.05). Enabling factors (i.e., insurance coverage, financial resources) were not. Conclusions Cancer survivors continue to report a high prevalence of recent CHA use more than five years after initial diagnosis. Healthcare providers should be aware of increased use of CHA among subgroups of long-term cancer survivors in order to guide safe and optimal use. PMID:24263621

Hybrid optimal scheduling for intermittent androgen suppression of prostate cancer

NASA Astrophysics Data System (ADS)

Hirata, Yoshito; di Bernardo, Mario; Bruchovsky, Nicholas; Aihara, Kazuyuki

2010-12-01

We propose a method for achieving an optimal protocol of intermittent androgen suppression for the treatment of prostate cancer. Since the model that reproduces the dynamical behavior of the surrogate tumor marker, prostate specific antigen, is piecewise linear, we can obtain an analytical solution for the model. Based on this, we derive conditions for either stopping or delaying recurrent disease. The solution also provides a design principle for the most favorable schedule of treatment that minimizes the rate of expansion of the malignant cell population.

Optimizing the parameters of the Lyman-Kutcher-Burman, Källman, and Logit+EUD models for the rectum - a comparison between normal tissue complication probability and clinical data

NASA Astrophysics Data System (ADS)

Trojková, Darina; Judas, Libor; Trojek, Tomáš

2014-11-01

Minimizing the late rectal toxicity of prostate cancer patients is a very important and widely-discussed topic. Normal tissue complication probability (NTCP) models can be used to evaluate competing treatment plans. In our work, the parameters of the Lyman-Kutcher-Burman (LKB), Källman, and Logit+EUD models are optimized by minimizing the Brier score for a group of 302 prostate cancer patients. The NTCP values are calculated and are compared with the values obtained using previously published values for the parameters. χ2 Statistics were calculated as a check of goodness of optimization.

A Minimum Spanning Forest Based Method for Noninvasive Cancer Detection with Hyperspectral Imaging

PubMed Central

Pike, Robert; Lu, Guolan; Wang, Dongsheng; Chen, Zhuo Georgia; Fei, Baowei

2016-01-01

Goal The purpose of this paper is to develop a classification method that combines both spectral and spatial information for distinguishing cancer from healthy tissue on hyperspectral images in an animal model. Methods An automated algorithm based on a minimum spanning forest (MSF) and optimal band selection has been proposed to classify healthy and cancerous tissue on hyperspectral images. A support vector machine (SVM) classifier is trained to create a pixel-wise classification probability map of cancerous and healthy tissue. This map is then used to identify markers that are used to compute mutual information for a range of bands in the hyperspectral image and thus select the optimal bands. An MSF is finally grown to segment the image using spatial and spectral information. Conclusion The MSF based method with automatically selected bands proved to be accurate in determining the tumor boundary on hyperspectral images. Significance Hyperspectral imaging combined with the proposed classification technique has the potential to provide a noninvasive tool for cancer detection. PMID:26285052

An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes

PubMed Central

2013-01-01

Background Gene expression data could likely be a momentous help in the progress of proficient cancer diagnoses and classification platforms. Lately, many researchers analyze gene expression data using diverse computational intelligence methods, for selecting a small subset of informative genes from the data for cancer classification. Many computational methods face difficulties in selecting small subsets due to the small number of samples compared to the huge number of genes (high-dimension), irrelevant genes, and noisy genes. Methods We propose an enhanced binary particle swarm optimization to perform the selection of small subsets of informative genes which is significant for cancer classification. Particle speed, rule, and modified sigmoid function are introduced in this proposed method to increase the probability of the bits in a particle’s position to be zero. The method was empirically applied to a suite of ten well-known benchmark gene expression data sets. Results The performance of the proposed method proved to be superior to other previous related works, including the conventional version of binary particle swarm optimization (BPSO) in terms of classification accuracy and the number of selected genes. The proposed method also requires lower computational time compared to BPSO. PMID:23617960

Fluorescently labeled bevacizumab in human breast cancer: defining the classification threshold

NASA Astrophysics Data System (ADS)

Koch, Maximilian; de Jong, Johannes S.; Glatz, Jürgen; Symvoulidis, Panagiotis; Lamberts, Laetitia E.; Adams, Arthur L. L.; Kranendonk, Mariëtte E. G.; Terwisscha van Scheltinga, Anton G. T.; Aichler, Michaela; Jansen, Liesbeth; de Vries, Jakob; Lub-de Hooge, Marjolijn N.; Schröder, Carolien P.; Jorritsma-Smit, Annelies; Linssen, Matthijs D.; de Boer, Esther; van der Vegt, Bert; Nagengast, Wouter B.; Elias, Sjoerd G.; Oliveira, Sabrina; Witkamp, Arjen J.; Mali, Willem P. Th. M.; Van der Wall, Elsken; Garcia-Allende, P. Beatriz; van Diest, Paul J.; de Vries, Elisabeth G. E.; Walch, Axel; van Dam, Gooitzen M.; Ntziachristos, Vasilis

2017-07-01

In-vivo fluorescently labelled drug (bevacizumab) breast cancer specimen where obtained from patients. We propose a new structured method to determine the optimal classification threshold in targeted fluorescence intra-operative imaging.

Relevance of philosophy of life and optimism for psychological distress among individuals in a stage where death is approaching.

PubMed

Winterling, Jeanette; Wasteson, Elisabet; Sidenvall, Birgitta; Sidenvall, Erik; Glimelius, Bengt; Sjödén, Per-Olow; Nordin, Karin

2006-04-01

The purpose was to investigate the relevance of philosophy of life as well as optimism for the psychological distress among Swedish individuals in a stage where death is approaching. Sixty-nine persons were included; of these were 42 patients newly diagnosed with advanced gastrointestinal cancer and 26 were partners to these patients. The participants' philosophy of life was studied through a semi-structured interview. The interview statements were subjected to content analysis. Optimism was measured by the Life Orientation Test and psychological distress by the Hospitality and Depression Scale. The results showed that optimistic respondents had less psychological distress. Two aspects of philosophy of life had relevance for such distress. These were wondering about why the cancer had occurred and having a feeling of being able to live a good life having or living near a person with advanced cancer. In conclusion, the above-mentioned aspects of philosophy of life as well as optimism have relevance for psychological distress among these individuals, which stress the importance that health-care staff address both patients' and their partners' concerns about their philosophy of life.

Label-free ferrohydrodynamic cell separation of circulating tumor cells.

PubMed

Zhao, Wujun; Cheng, Rui; Jenkins, Brittany D; Zhu, Taotao; Okonkwo, Nneoma E; Jones, Courtney E; Davis, Melissa B; Kavuri, Sravan K; Hao, Zhonglin; Schroeder, Carsten; Mao, Leidong

2017-09-12

Circulating tumor cells (CTCs) have significant implications in both basic cancer research and clinical applications. To address the limited availability of viable CTCs for fundamental and clinical investigations, effective separation of extremely rare CTCs from blood is critical. Ferrohydrodynamic cell separation (FCS), a label-free method that conducted cell sorting based on cell size difference in biocompatible ferrofluids, has thus far not been able to enrich low-concentration CTCs from cancer patients' blood because of technical challenges associated with processing clinical samples. In this study, we demonstrated the development of a laminar-flow microfluidic FCS device that was capable of enriching rare CTCs from patients' blood in a biocompatible manner with a high throughput (6 mL h -1 ) and a high rate of recovery (92.9%). Systematic optimization of the FCS devices through a validated analytical model was performed to determine optimal magnetic field and its gradient, ferrofluid properties, and cell throughput that could process clinically relevant amount of blood. We first validated the capability of the FCS devices by successfully separating low-concentration (∼100 cells per mL) cancer cells using six cultured cell lines from undiluted white blood cells (WBCs), with an average 92.9% cancer cell recovery rate and an average 11.7% purity of separated cancer cells, at a throughput of 6 mL per hour. Specifically, at ∼100 cancer cells per mL spike ratio, the recovery rates of cancer cells were 92.3 ± 3.6% (H1299 lung cancer), 88.3 ± 5.5% (A549 lung cancer), 93.7 ± 5.5% (H3122 lung cancer), 95.3 ± 6.0% (PC-3 prostate cancer), 94.7 ± 4.0% (MCF-7 breast cancer), and 93.0 ± 5.3% (HCC1806 breast cancer), and the corresponding purities of separated cancer cells were 11.1 ± 1.2% (H1299 lung cancer), 10.1 ± 1.7% (A549 lung cancer), 12.1 ± 2.1% (H3122 lung cancer), 12.8 ± 1.6% (PC-3 prostate cancer), 11.9 ± 1.8% (MCF-7 breast cancer), and 12.2 ± 1.6% (HCC1806 breast cancer). Biocompatibility study on H1299 cell line and HCC1806 cell line showed that separated cancer cells had excellent short-term viability, normal proliferation and unaffected key biomarker expressions. We then demonstrated the enrichment of CTCs in blood samples obtained from two patients with newly diagnosed advanced non-small cell lung cancer (NSCLC). While still at its early stage of development, FCS could become a complementary tool for CTC separation for its high recovery rate and excellent biocompatibility, as well as its potential for further optimization and integration with other separation methods.

Regional Delivery of Chimeric Antigen Receptor-Engineered T Cells Effectively Targets HER2+ Breast Cancer Metastasis to the Brain.

PubMed

Priceman, Saul J; Tilakawardane, Dileshni; Jeang, Brook; Aguilar, Brenda; Murad, John P; Park, Anthony K; Chang, Wen-Chung; Ostberg, Julie R; Neman, Josh; Jandial, Rahul; Portnow, Jana; Forman, Stephen J; Brown, Christine E

2018-01-01

Purpose: Metastasis to the brain from breast cancer remains a significant clinical challenge, and may be targeted with CAR-based immunotherapy. CAR design optimization for solid tumors is crucial due to the absence of truly restricted antigen expression and potential safety concerns with "on-target off-tumor" activity. Here, we have optimized HER2-CAR T cells for the treatment of breast to brain metastases, and determined optimal second-generation CAR design and route of administration for xenograft mouse models of breast metastatic brain tumors, including multifocal and leptomeningeal disease. Experimental Design: HER2-CAR constructs containing either CD28 or 4-1BB intracellular costimulatory signaling domains were compared for functional activity in vitro by measuring cytokine production, T-cell proliferation, and tumor killing capacity. We also evaluated HER2-CAR T cells delivered by intravenous, local intratumoral, or regional intraventricular routes of administration using in vivo human xenograft models of breast cancer that have metastasized to the brain. Results: Here, we have shown that HER2-CARs containing the 4-1BB costimulatory domain confer improved tumor targeting with reduced T-cell exhaustion phenotype and enhanced proliferative capacity compared with HER2-CARs containing the CD28 costimulatory domain. Local intracranial delivery of HER2-CARs showed potent in vivo antitumor activity in orthotopic xenograft models. Importantly, we demonstrated robust antitumor efficacy following regional intraventricular delivery of HER2-CAR T cells for the treatment of multifocal brain metastases and leptomeningeal disease. Conclusions: Our study shows the importance of CAR design in defining an optimized CAR T cell, and highlights intraventricular delivery of HER2-CAR T cells for treating multifocal brain metastases. Clin Cancer Res; 24(1); 95-105. ©2017 AACR . ©2017 American Association for Cancer Research.

Patient characteristics associated with the level of patient-reported care coordination among male patients with colorectal cancer in the Veterans Affairs health care system.

PubMed

Jackson, George L; Zullig, Leah L; Phelan, Sean M; Provenzale, Dawn; Griffin, Joan M; Clauser, Steven B; Haggstrom, David A; Jindal, Rahul M; van Ryn, Michelle

2015-07-01

The current study was performed to determine whether patient characteristics, including race/ethnicity, were associated with patient-reported care coordination for patients with colorectal cancer (CRC) who were treated in the Veterans Affairs (VA) health care system, with the goal of better understanding potential goals of quality improvement efforts aimed at improving coordination. The nationwide Cancer Care Assessment and Responsive Evaluation Studies survey involved VA patients with CRC who were diagnosed in 2008 (response rate, 67%). The survey included a 4-item scale of patient-reported frequency ("never," "sometimes," "usually," and "always") of care coordination activities (scale score range, 1-4). Among 913 patients with CRC who provided information regarding care coordination, demographics, and symptoms, multivariable logistic regression was used to examine odds of patients reporting optimal care coordination. VA patients with CRC were found to report high levels of care coordination (mean scale score, 3.50 [standard deviation, 0.61]). Approximately 85% of patients reported a high level of coordination, including the 43% reporting optimal/highest-level coordination. There was no difference observed in the odds of reporting optimal coordination by race/ethnicity. Patients with early-stage disease (odds ratio [OR], 0.60; 95% confidence interval [95% CI], 0.45-0.81), greater pain (OR, 0.97 for a 1-point increase in pain scale; 95% CI, 0.96-0.99), and greater levels of depression (OR, 0.97 for a 1-point increase in depression scale; 95% CI, 0.96-0.99) were less likely to report optimal coordination. Patients with CRC in the VA reported high levels of care coordination. Unlike what has been reported in settings outside the VA, there appears to be no racial/ethnic disparity in reported coordination. However, challenges remain in ensuring coordination of care for patients with less advanced disease and a high symptom burden. Cancer 2015;121:2207-2213. © 2015 American Cancer Society. © 2015 American Cancer Society.

Optimal use of colonoscopy and fecal immunochemical test for population-based colorectal cancer screening: a cost-effectiveness analysis using Japanese data.

PubMed

Sekiguchi, Masau; Igarashi, Ataru; Matsuda, Takahisa; Matsumoto, Minori; Sakamoto, Taku; Nakajima, Takeshi; Kakugawa, Yasuo; Yamamoto, Seiichiro; Saito, Hiroshi; Saito, Yutaka

2016-02-01

There have been few cost-effectiveness analyses of population-based colorectal cancer screening in Japan, and there is no consensus on the optimal use of total colonoscopy and the fecal immunochemical test for colorectal cancer screening with regard to cost-effectiveness and total colonoscopy workload. The present study aimed to examine the cost-effectiveness of colorectal cancer screening using Japanese data to identify the optimal use of total colonoscopy and fecal immunochemical test. We developed a Markov model to assess the cost-effectiveness of colorectal cancer screening offered to an average-risk population aged 40 years or over. The cost, quality-adjusted life-years and number of total colonoscopy procedures required were evaluated for three screening strategies: (i) a fecal immunochemical test-based strategy; (ii) a total colonoscopy-based strategy; (iii) a strategy of adding population-wide total colonoscopy at 50 years to a fecal immunochemical test-based strategy. All three strategies dominated no screening. Among the three, Strategy 1 was dominated by Strategy 3, and the incremental cost per quality-adjusted life-years gained for Strategy 2 against Strategies 1 and 3 were JPY 293 616 and JPY 781 342, respectively. Within the Japanese threshold (JPY 5-6 million per QALY gained), Strategy 2 was the most cost-effective, followed by Strategy 3; however, Strategy 2 required more than double the number of total colonoscopy procedures than the other strategies. The total colonoscopy-based strategy could be the most cost-effective for population-based colorectal cancer screening in Japan. However, it requires more total colonoscopy procedures than the other strategies. Depending on total colonoscopy capacity, the strategy of adding total colonoscopy for individuals at a specified age to a fecal immunochemical test-based screening may be an optimal solution. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Optimal Interval for Repeated Gastric Cancer Screening in Normal-Risk Healthy Korean Adults: A Retrospective Cohort Study

PubMed Central

Bae, Jong-Myon; Shin, Sang Yop; Kim, Eun Hee

2015-01-01

Purpose This retrospective cohort study was conducted to estimate the optimal interval for gastric cancer screening in Korean adults with initial negative screening results. Materials and Methods This study consisted of voluntary Korean screenees aged 40 to 69 years who underwent subsequent screening gastroscopies after testing negative in the baseline screening performed between January 2007 and December 2011. A new case was defined as the presence of gastric cancer cells in biopsy specimens obtained upon gastroscopy. The follow-up periods were calculated during the months between the date of baseline screening gastroscopy and positive findings upon subsequent screenings, stratified by sex and age group. The mean sojourn time (MST) for determining the screening interval was estimated using the prevalence/incidence ratio. Results Of the 293,520 voluntary screenees for the gastric cancer screening program, 91,850 (31.29%) underwent subsequent screening gastroscopies between January 2007 and December 2011. The MSTs in men and women were 21.67 months (95% confidence intervals [CI], 17.64 to 26.88 months) and 15.14 months (95% CI, 9.44 to 25.85 months), respectively. Conclusion These findings suggest that the optimal interval for subsequent gastric screening in both men and women is 24 months, supporting the 2-year interval recommended by the nationwide gastric cancer screening program. PMID:25687874

New clinical trial to study long-term progression of brain and spine cancers | Center for Cancer Research

Cancer.gov

Dr. Mark Gilbert, Chief, Neuro-Oncology Branch, describes an ambitious new clinical trial that, for the first time, will study the long-term progression of brain and spine cancers. The 10,000 patient trial is the largest of its kind and will follow patients throughout the course of their disease. In addition to identifying optimal treatments for common brain and spine cancers,

Supported self-management for cancer survivors to address long-term biopsychosocial consequences of cancer and treatment to optimize living well.

PubMed

Howell, Doris D

2018-03-01

As individuals are living longer with cancer as a chronic disease, they face new health challenges that require the application of self-management behaviors and skills that may not be in their usual repertoire of self-regulatory health behaviors. Increasing attention is focused on supported self-management (SSM) programs to enable survivors in managing the long-term biopsychosocial consequences and health challenges of survivorship. This review explores current directions and evidence for SSM programs that enable survivors to manage these consequences and optimize health. Cancer survivors face complex health challenges that affect daily functioning and well being. Multiple systematic reviews show that SSM programs have positive effects on health outcomes in typical chronic diseases. However, the efficacy of these approaches in cancer survivors are in their infancy; and the 'one-size' fits all approach for chronic disease self-management may not be adequate for cancer as a complex chronic illness. This review suggests that SSM has promising potential for improving health and well being of cancer survivors, but there is a need for standardizing SSM for future research. Although there is increasing enthusiasm for SSM programs tailored to cancer survivors, there is a need for further research of their efficacy on long-term health outcomes.

Establishment of apoptotic regulatory network for genetic markers of colorectal cancer and optimal selection of traditional Chinese medicine target.

PubMed

Tian, Tongde; Chen, Chuanliang; Yang, Feng; Tang, Jingwen; Pei, Junwen; Shi, Bian; Zhang, Ning; Zhang, Jianhua

2017-03-01

The paper aimed to screen out genetic markers applicable to early diagnosis for colorectal cancer and establish apoptotic regulatory network model for colorectal cancer, and to analyze the current situation of traditional Chinese medicine (TCM) target, thereby providing theoretical evidence for early diagnosis and targeted therapy of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers that are applied to early diagnosis of colorectal cancer were searched and performed comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. KEGG analysis was employed to establish apoptotic regulatory network model based on screened genetic markers, and optimization was conducted on TCM targets. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, P53, APC, DCC and PTEN, among which DCC has the highest diagnostic efficiency. Apoptotic regulatory network was built by KEGG analysis. Currently, it was reported that TCM has regulatory function on gene locus in apoptotic regulatory network. The apoptotic regulatory model of colorectal cancer established in this study provides theoretical evidence for early diagnosis and TCM targeted therapy of colorectal cancer in clinic.

Optimized multiparametric flow cytometric analysis of circulating endothelial cells and their subpopulations in peripheral blood of patients with solid tumors: a technical analysis.

PubMed

Zhou, Fangbin; Zhou, Yaying; Yang, Ming; Wen, Jinli; Dong, Jun; Tan, Wenyong

2018-01-01

Circulating endothelial cells (CECs) and their subpopulations could be potential novel biomarkers for various malignancies. However, reliable enumerable methods are warranted to further improve their clinical utility. This study aimed to optimize a flow cytometric method (FCM) assay for CECs and subpopulations in peripheral blood for patients with solid cancers. An FCM assay was used to detect and identify CECs. A panel of 60 blood samples, including 44 metastatic cancer patients and 16 healthy controls, were used in this study. Some key issues of CEC enumeration, including sample material and anticoagulant selection, optimal titration of antibodies, lysis/wash procedures of blood sample preparation, conditions of sample storage, sufficient cell events to enhance the signal, fluorescence-minus-one controls instead of isotype controls to reduce background noise, optimal selection of cell surface markers, and evaluating the reproducibility of our method, were integrated and investigated. Wilcoxon and Mann-Whitney U tests were used to determine statistically significant differences. In this validation study, we refined a five-color FCM method to detect CECs and their subpopulations in peripheral blood of patients with solid tumors. Several key technical issues regarding preanalytical elements, FCM data acquisition, and analysis were addressed. Furthermore, we clinically validated the utility of our method. The baseline levels of mature CECs, endothelial progenitor cells, and activated CECs were higher in cancer patients than healthy subjects ( P <0.01). However, there was no significant difference in resting CEC levels between healthy subjects and cancer patients ( P =0.193). We integrated and comprehensively addressed significant technical issues found in previously published assays and validated the reproducibility and sensitivity of our proposed method. Future work is required to explore the potential of our optimized method in clinical oncologic applications.

Optimization of PSA screening policies: a comparison of the patient and societal perspectives.

PubMed

Zhang, Jingyu; Denton, Brian T; Balasubramanian, Hari; Shah, Nilay D; Inman, Brant A

2012-01-01

To estimate the benefit of PSA-based screening for prostate cancer from the patient and societal perspectives. A partially observable Markov decision process model was used to optimize PSA screening decisions. Age-specific prostate cancer incidence rates and the mortality rates from prostate cancer and competing causes were considered. The model trades off the potential benefit of early detection with the cost of screening and loss of patient quality of life due to screening and treatment. PSA testing and biopsy decisions are made based on the patient's probability of having prostate cancer. Probabilities are inferred based on the patient's complete PSA history using Bayesian updating. The results of all PSA tests and biopsies done in Olmsted County, Minnesota, from 1993 to 2005 (11,872 men and 50,589 PSA test results). Patients' perspective: to maximize expected quality-adjusted life years (QALYs); societal perspective: to maximize the expected monetary value based on societal willingness to pay for QALYs and the cost of PSA testing, prostate biopsies, and treatment. From the patient perspective, the optimal policy recommends stopping PSA testing and biopsy at age 76. From the societal perspective, the stopping age is 71. The expected incremental benefit of optimal screening over the traditional guideline of annual PSA screening with threshold 4.0 ng/mL for biopsy is estimated to be 0.165 QALYs per person from the patient perspective and 0.161 QALYs per person from the societal perspective. PSA screening based on traditional guidelines is found to be worse than no screening at all. PSA testing done with traditional guidelines underperforms and therefore underestimates the potential benefit of screening. Optimal screening guidelines differ significantly depending on the perspective of the decision maker.

Strategic Workshops on Cancer Nanotechnology

PubMed Central

Nagahara, Larry A.; Lee, Jerry S H.; Molnar, Linda K.; Panaro, Nicholas J.; Farrell, Dorothy; Ptak, Krzysztof; Alper, Joseph; Grodzinski, Piotr

2010-01-01

Nanotechnology offers the potential for new approaches to detecting, treating and preventing cancer. To determine the current status of the cancer nanotechnology field and the optimal path forward, the National Cancer Institute’s Alliance for Nanotechnology in Cancer held three strategic workshops, covering the areas of in-vitro diagnostics and prevention, therapy and post-treatment, and in-vivo diagnosis and imaging. At each of these meetings, a wide range of experts from academia, industry, the non-profit sector, and the Federal government discussed opportunities in the field of cancer nanotechnology and barriers to its implementation. PMID:20460532

Molecular biology of bladder cancer.

PubMed

Martin-Doyle, William; Kwiatkowski, David J

2015-04-01

Classic as well as more recent large-scale genomic analyses have uncovered multiple genes and pathways important for bladder cancer development. Genes involved in cell-cycle control, chromatin regulation, and receptor tyrosine and PI3 kinase-mammalian target of rapamycin signaling pathways are commonly mutated in muscle-invasive bladder cancer. Expression-based analyses have identified distinct types of bladder cancer that are similar to subsets of breast cancer, and have prognostic and therapeutic significance. These observations are leading to novel therapeutic approaches in bladder cancer, providing optimism for therapeutic progress. Copyright © 2015 Elsevier Inc. All rights reserved.

Developing an effective breast cancer vaccine.

PubMed

Soliman, Hatem

2010-07-01

Harnessing the immune response in treating breast cancer would potentially offer a less toxic, more targeted approach to eradicating residual disease. Breast cancer vaccines are being developed to effectively train cytotoxic T cells to recognize and kill transformed cells while sparing normal ones. However, achieving this goal has been problematic due to the ability of established cancers to suppress and evade the immune response. A review of the literature on vaccines and breast cancer treatment was conducted, specifically addressing strategies currently available, as well as appropriate settings, paradigms for vaccine development and response monitoring, and challenges with immunosuppression. Multiple issues need to be addressed in order to optimize the benefits offered by breast cancer vaccines. Primary issues include the following: (1) cancer vaccines will likely work better in a minimal residual disease state, (2) clinical trial design for immunotherapy should incorporate recommendations from expert groups such as the Cancer Vaccine Working Group and use standardized immune response measurements, (3) the presently available cancer vaccine approaches, including dendritic cell-based, tumor-associated antigen peptide-based, and whole cell-based, have various pros and cons, (4) to date, no one approach has been shown to be superior to another, and (5) vaccines will need to be combined with immunoregulatory agents to overcome tumor-related immunosuppression. Combining a properly optimized cancer vaccine with novel immunomodulating agents that overcome tumor-related immunosuppression in a well-designed clinical trial offers the best hope for developing an effective breast cancer vaccine strategy.

Communication of uncertainty regarding individualized cancer risk estimates: effects and influential factors.

PubMed

Han, Paul K J; Klein, William M P; Lehman, Tom; Killam, Bill; Massett, Holly; Freedman, Andrew N

2011-01-01

To examine the effects of communicating uncertainty regarding individualized colorectal cancer risk estimates and to identify factors that influence these effects. Two Web-based experiments were conducted, in which adults aged 40 years and older were provided with hypothetical individualized colorectal cancer risk estimates differing in the extent and representation of expressed uncertainty. The uncertainty consisted of imprecision (otherwise known as "ambiguity") of the risk estimates and was communicated using different representations of confidence intervals. Experiment 1 (n = 240) tested the effects of ambiguity (confidence interval v. point estimate) and representational format (textual v. visual) on cancer risk perceptions and worry. Potential effect modifiers, including personality type (optimism), numeracy, and the information's perceived credibility, were examined, along with the influence of communicating uncertainty on responses to comparative risk information. Experiment 2 (n = 135) tested enhanced representations of ambiguity that incorporated supplemental textual and visual depictions. Communicating uncertainty led to heightened cancer-related worry in participants, exemplifying the phenomenon of "ambiguity aversion." This effect was moderated by representational format and dispositional optimism; textual (v. visual) format and low (v. high) optimism were associated with greater ambiguity aversion. However, when enhanced representations were used to communicate uncertainty, textual and visual formats showed similar effects. Both the communication of uncertainty and use of the visual format diminished the influence of comparative risk information on risk perceptions. The communication of uncertainty regarding cancer risk estimates has complex effects, which include heightening cancer-related worry-consistent with ambiguity aversion-and diminishing the influence of comparative risk information on risk perceptions. These responses are influenced by representational format and personality type, and the influence of format appears to be modifiable and content dependent.

New clinical trial to study long-term progression of brain and spine cancers | Center for Cancer Research

Cancer.gov

Dr. Mark Gilbert, Chief, Neuro-Oncology Branch, describes an ambitious new clinical trial that, for the first time, will study the long-term progression of brain and spine cancers. The 10,000 patient trial is the largest of its kind and will follow patients throughout the course of their disease. In addition to identifying optimal treatments for common brain and spine cancers, the study focuses on treatment discovery for rare, overlooked cancers.

Current state of the art, multimodality research and future visions for the treatment of patients with prostate cancer: consensus results from "Challenges and Chances in Prostate Cancer Research Meeting 2013".

PubMed

Combs, Stephanie E; Debus, Jürgen; Feick, Günter; Hadaschik, Boris; Hohenfellner, Markus; Schüle, Roland; Zacharias, Jens-Peter; Schwardt, Malte

2014-11-04

A brainstorming and consensus meeting organized by the German Cancer Aid focused on modern treatment of prostate cancer and promising innovative techniques and research areas. Besides optimization of screening algorithms, molecular-based stratification and individually tailored treatment regimens will be the future of multimodal prostate cancer management. Effective interdisciplinary structures, including biobanking and data collection mechanisms are the basis for such developments.

SU-E-J-193: Feasibility of MRI-Only Based IMRT Planning for Pancreatic Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Prior, P; Botros, M; Chen, X

2014-06-01

Purpose: With the increasing use of MRI simulation and the advent of MRI-guided delivery, it is desirable to use MRI only for treatment planning. In this study, we assess the dosimetric difference between MRI- and CTbased IMRT planning for pancreatic cancer. Methods: Planning CTs and MRIs acquired for a representative pancreatic cancer patient were used. MRI-based planning utilized forced relative electron density (rED) assignment of organ specific values from IRCU report 46, where rED = 1.029 for PTV and a rED = 1.036 for non-specified tissue (NST). Six IMRT plans were generated with clinical dose-volume (DV) constraints using a researchmore » Monaco planning system employing Monte Carlo dose calculation with optional perpendicular magnetic field (MF) of 1.5T. The following five plans were generated and compared with the planning CT: 1.) CT plan with MF and dose recalculation without optimization; 2.) MRI (T2) plan with target and OARs redrawn based on MRI, forced rED, no MF, and recalculation without optimization; 3.) Similar as in 2 but with MF; 4.) MRI plan with MF but without optimization; and 5.) Similar as in 4 but with optimization. Results: Generally, noticeable differences in PTV point doses and DV parameters (DVPs) between the CT-and MRI-based plans with and without the MF were observed. These differences between the optimized plans were generally small, mostly within 2%. Larger differences were observed in point doses and mean doses for certain OARs between the CT and MRI plan, mostly due to differences between image acquisition times. Conclusion: MRI only based IMRT planning for pancreatic cancer is feasible. The differences observed between the optimized CT and MRI plans with or without the MF were practically negligible if excluding the differences between MRI and CT defined structures.« less

Detection of Gene Rearrangements in Circulating Tumor Cells: Examples of ALK-, ROS1-, RET-Rearrangements in Non-Small-Cell Lung Cancer and ERG-Rearrangements in Prostate Cancer.

PubMed

Catelain, Cyril; Pailler, Emma; Oulhen, Marianne; Faugeroux, Vincent; Pommier, Anne-Laure; Farace, Françoise

2017-01-01

Circulating tumor cells (CTCs) hold promise as biomarkers to aid in patient treatment stratification and disease monitoring. Because the number of cells is a critical parameter for exploiting CTCs for predictive biomarker's detection, we developed a FISH (fluorescent in situ hybridization) method for CTCs enriched on filters (filter-adapted FISH [FA-FISH]) that was optimized for high cell recovery. To increase the feasibility and reliability of the analyses, we combined fluorescent staining and FA-FISH and developed a semi-automated microscopy method for optimal FISH signal identification in filtration-enriched CTCs . Here we present these methods and their use for the detection and characterization of ALK-, ROS1-, RET-rearrangement in CTCs from non-small-cell lung cancer and ERG-rearrangements in CTCs from prostate cancer patients.

Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer.

PubMed

Horsch, Karla; Giger, Maryellen L; Metz, Charles E

2008-11-01

Our goal was to investigate the effects of changes that the prevalence of cancer in a population have on the probability of malignancy (PM) output and an optimal combination of a true-positive fraction (TPF) and a false-positive fraction (FPF) of a mammographic and sonographic automatic classifier for the diagnosis of breast cancer. We investigate how a prevalence-scaling transformation that is used to change the prevalence inherent in the computer estimates of the PM affects the numerical and histographic output of a previously developed multimodality intelligent workstation. Using Bayes' rule and the binormal model, we study how changes in the prevalence of cancer in the diagnostic breast population affect our computer classifiers' optimal operating points, as defined by maximizing the expected utility. Prevalence scaling affects the threshold at which a particular TPF and FPF pair is achieved. Tables giving the thresholds on the scaled PM estimates that result in particular pairs of TPF and FPF are presented. Histograms of PMs scaled to reflect clinically relevant prevalence values differ greatly from histograms of laboratory-designed PMs. The optimal pair (TPF, FPF) of our lower performing mammographic classifier is more sensitive to changes in clinical prevalence than that of our higher performing sonographic classifier. Prevalence scaling can be used to change computer PM output to reflect clinically more appropriate prevalence. Relatively small changes in clinical prevalence can have large effects on the computer classifier's optimal operating point.

Radiotherapy utilization in developing countries: An IAEA study.

PubMed

Rosenblatt, Eduardo; Fidarova, Elena; Zubizarreta, Eduardo H; Barton, Michael B; Jones, Glenn W; Mackillop, William J; Cordero, Lisbeth; Yarney, Joel; Lim, Gerard; Gan, John V; Cernea, Valentin; Stojanovic-Rundic, Suzana; Strojan, Primoz; Kochbati, Lotfi; Quarneti, Aldo

2018-05-30

The planning of national radiotherapy (RT) services requires a thorough knowledge of the country's cancer epidemiology profile, the radiotherapy utilization (RTU) rates and a future projection of these data. Previous studies have established RTU rates in high-income countries. Optimal RTU (oRTU) rates were determined for nine middle-income countries, following the epidemiological evidence-based method. The actual RTU (aRTU) rates were calculated dividing the total number of new notifiable cancer patients treated with radiotherapy in 2012 by the total number of cancer patients diagnosed in the same year in each country. An analysis of the characteristics of patients and treatments in a series of 300 consecutive radiotherapy patients shed light on the particular patient and treatments profile in the participating countries. The median oRTU rate for the group of nine countries was 52% (47-56%). The median aRTU rate for the nine countries was 28% (9-46%). These results show that the real proportion of cancer patients receiving RT is lower than the optimal RTU with a rate difference between 10-42.7%. The median percent-unmet need was 47% (18-82.3%). The optimal RTU rate in middle-income countries did not differ significantly from that previously found in high-income countries. The actual RTU rates were consistently lower than the optimal, in particular in countries with limited resources and a large population. Crown Copyright © 2018. Published by Elsevier B.V. All rights reserved.

The prevalence of dietary-related complementary and alternative therapies and their perceived usefulness among cancer patients.

PubMed

van Tonder, E; Herselman, M G; Visser, J

2009-12-01

The present study aimed to directly assess and compare the usage, benefits and side-effects of dietary-related complementary and alternative medicine (CAM) use among adult cancer patients and non-cancer adults in Norwich, UK. Self-administered questionnaires were completed by 98 cancer patients and 92 non-cancer adults to compare demographics, types of CAM usage with reasons, benefits, side-effects and CAM information sources. The groups were matched for gender, age, marital status, education and household income. The mean ages were 62.7 and 59.7 years, respectively, with slightly more female than male participants. CAM use was high in both groups (47% in cancer and 53% in non-cancer respondents, P > 0.05). The most widely-used diet-related CAM among both groups was the large intake of fruit, vegetables and juice, multivitamins, fish oils and glucosamine. Fish oil intake was significantly higher in the non-cancer group (P < 0.05), whereas selenium and beta-carotene supplements were significantly higher in the cancer group (P < 0.01 and P = 0.02, respectively). The main reasons for using CAM were to boost the immune system and to improve quality of life (P > 0.05). Reported benefits included increased optimism and hope for the cancer group and increased optimism and pain relief for the non-cancer group. Diet-related CAM is used frequently by both cancer patients and non-cancer adults, with many reported benefits and few reported side-effects. Significant differences between the groups included a higher prevalence of fish oil used by the non-cancer group, and a higher use of selenium and beta-carotene supplements in the cancer group.

CPTC and KIST Join Efforts to Solve Complex Proteomic Issues | Office of Cancer Clinical Proteomics Research

Cancer.gov

The National Cancer Institute's (NCI) Clinical Proteomic Technologies for Cancer (CPTC) initiative at the National Institutes of Health has entered into a memorandum of understanding (MOU) with the Korea Institute of Science and Technology (KIST). This MOU promotes proteomic technology optimization and standards implementation in large-scale international programs.

Factors affecting quality of life of older adults with cancer in Korea.

PubMed

Yoon, Hyunsook; Kim, Yojin; Lim, Yeon Ok; Lee, Hyun Joo; Choi, Kyoungwon

2015-08-01

The main objective of the present study was to examine the quality of life of older adults with cancer and investigate factors associated with it. Some practical problems experienced by older adults with cancer are introduced, such as changes in work situation, availability of caregivers and financial difficulties relative to medical expenditures. A total of 339 patients aged 65 years or older who were treated for five major cancer diseases--colorectal, stomach, lung, liver or kidney cancer--participated in the present study. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire was used to measure the quality of life. Performance status (physical functioning) was assigned according to the Eastern Cooperative Oncology Group classification. The Life Orientation Test-Revised was used to assess future expectations. The multiple linear regression analysis was used to identify predictors of the quality of life of older persons with cancer. The results showed that physical functioning and optimism were significant predictors of all four functions (physical, role, emotional and social function) and global quality of life of older adults with cancer. Nearly 60% experienced changes in work situation and had financial burden on medical costs. The findings suggest that efforts to assess physical functioning with more attention and enhance optimism should be emphasized in interventions for older adults with cancer. © 2014 Japan Geriatrics Society.

Virus like particles as a platform for cancer vaccine development.

PubMed

Ong, Hui Kian; Tan, Wen Siang; Ho, Kok Lian

2017-01-01

Cancers have killed millions of people in human history and are still posing a serious health problem worldwide. Therefore, there is an urgent need for developing preventive and therapeutic cancer vaccines. Among various cancer vaccine development platforms, virus-like particles (VLPs) offer several advantages. VLPs are multimeric nanostructures with morphology resembling that of native viruses and are mainly composed of surface structural proteins of viruses but are devoid of viral genetic materials rendering them neither infective nor replicative. In addition, they can be engineered to display multiple, highly ordered heterologous epitopes or peptides in order to optimize the antigenicity and immunogenicity of the displayed entities. Like native viruses, specific epitopes displayed on VLPs can be taken up, processed, and presented by antigen-presenting cells to elicit potent specific humoral and cell-mediated immune responses. Several studies also indicated that VLPs could overcome the immunosuppressive state of the tumor microenvironment and break self-tolerance to elicit strong cytotoxic lymphocyte activity, which is crucial for both virus clearance and destruction of cancerous cells. Collectively, these unique characteristics of VLPs make them optimal cancer vaccine candidates. This review discusses current progress in the development of VLP-based cancer vaccines and some potential drawbacks of VLPs in cancer vaccine development. Extracellular vesicles with close resembling to viral particles are also discussed and compared with VLPs as a platform in cancer vaccine developments.

Chaotic particle swarm optimization with mutation for classification.

PubMed

Assarzadeh, Zahra; Naghsh-Nilchi, Ahmad Reza

2015-01-01

In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space. The introduced mutation operators and chaotic sequences allows us to overcome the problem of early convergence into a local minima associated with particle swarm optimization algorithms. That is, the mutation operator sharpens the convergence and it tunes the best possible solution. Furthermore, to remove the irrelevant data and reduce the dimensionality of medical datasets, a feature selection approach using binary version of the proposed particle swarm optimization is introduced. In order to demonstrate the effectiveness of our proposed classifier, mutation-based classifier particle swarm optimization, it is checked out with three sets of data classifications namely, Wisconsin diagnostic breast cancer, Wisconsin breast cancer and heart-statlog, with different feature vector dimensions. The proposed algorithm is compared with different classifier algorithms including k-nearest neighbor, as a conventional classifier, particle swarm-classifier, genetic algorithm, and Imperialist competitive algorithm-classifier, as more sophisticated ones. The performance of each classifier was evaluated by calculating the accuracy, sensitivity, specificity and Matthews's correlation coefficient. The experimental results show that the mutation-based classifier particle swarm optimization unequivocally performs better than all the compared algorithms.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Thompson, Stephen R., E-mail: stephen.thompson@sesiahs.health.nsw.gov.au; Department of Radiation Oncology, Prince of Wales Hospital, Sydney; University of New South Wales, Sydney

Purpose: We aimed to estimate the optimal proportion of all gynecological cancers that should be treated with brachytherapy (BT)-the optimal brachytherapy utilization rate (BTU)-to compare this with actual gynecological BTU and to assess the effects of nonmedical factors on access to BT. Methods and Materials: The previously constructed inter/multinational guideline-based peer-reviewed models of optimal BTU for cancers of the uterine cervix, uterine corpus, and vagina were combined to estimate optimal BTU for all gynecological cancers. The robustness of the model was tested by univariate and multivariate sensitivity analyses. The resulting model was applied to New South Wales (NSW), the Unitedmore » States, and Western Europe. Actual BTU was determined for NSW by a retrospective patterns-of-care study of BT; for Western Europe from published reports; and for the United States from Surveillance, Epidemiology, and End Results data. Differences between optimal and actual BTU were assessed. The effect of nonmedical factors on access to BT in NSW were analyzed. Results: Gynecological BTU was as follows: NSW 28% optimal (95% confidence interval [CI] 26%-33%) compared with 14% actual; United States 30% optimal (95% CI 26%-34%) and 10% actual; and Western Europe 27% optimal (95% CI 25%-32%) and 16% actual. On multivariate analysis, NSW patients were more likely to undergo gynecological BT if residing in Area Health Service equipped with BT (odds ratio 1.76, P=.008) and if residing in socioeconomically disadvantaged postcodes (odds ratio 1.12, P=.05), but remoteness of residence was not significant. Conclusions: Gynecological BT is underutilized in NSW, Western Europe, and the United States given evidence-based guidelines. Access to BT equipment in NSW was significantly associated with higher utilization rates. Causes of underutilization elsewhere were undetermined. Our model of optimal BTU can be used as a quality assurance tool, providing an evidence-based benchmark against which actual patterns of practice can be measured. It can also be used to assist in determining the adequacy of BT resource allocation.« less

Design of a nanoplatform for treating pancreatic cancer

NASA Astrophysics Data System (ADS)

Manawadu, Harshi Chathurangi

Pancreatic cancer is the fourth leading cause of cancer-related deaths in the USA. Asymptomatic early cancer stages and late diagnosis leads to very low survival rates of pancreatic cancers, compared to other cancers. Treatment options for advanced pancreatic cancer are limited to chemotherapy and/or radiation therapy, as surgical removal of the cancerous tissue becomes impossible at later stages. Therefore, there's a critical need for innovative and improved chemotherapeutic treatment of (late) pancreatic cancers. It is mandatory for successful treatment strategies to overcome the drug resistance associated with pancreatic cancers. Nanotechnology based drug formulations have been providing promising alternatives in cancer treatment due to their selective targeting and accumulation in tumor vasculature, which can be used for efficient delivery of chemotherapeutic agents to tumors and metastases. The research of my thesis is following the principle approach to high therapeutic efficacy that has been first described by Dr. Helmut Ringsdorf in 1975. However, I have extended the use of the Ringsdorf model from polymeric to nanoparticle-based drug carriers by exploring an iron / iron oxide nanoparticle based drug delivery system. A series of drug delivery systems have been synthesized by varying the total numbers and the ratio of the tumor homing peptide sequence CGKRK and the chemotherapeutic drug doxorubicin at the surfaces of Fe/Fe3O 4-nanoparticles. The cytotoxicity of these nanoformulations was tested against murine pancreatic cancer cell lines (Pan02) to assess their therapeutic capabilities for effective treatments of pancreatic cancers. Healthy mouse fibroblast cells (STO) were also tested for comparison, because an effective chemotherapeutic drug has to be selective towards cancer cells. Optimal Experimental Design methodology was applied to identify the nanoformulation with the highest therapeutic activity. A statistical analysis method known as response surface methodology was carried out to evaluate the in-vitro cytotoxicity data, and to determine whether the chosen experimental parameters truly express the optimized conditions of the nanoparticle based drug delivery system. The overall goal was to optimize the therapeutic efficacy in nanoparticle-based pancreatic cancer treatment. Based on the statistical data, the most effective iron/iron oxide nanoparticle-based drug delivery system has been identified. Its Fe/Fe3O4 core has a diameter of 20 nm. The surface of this nanoparticle is loaded with the homing sequence CGKRK (139-142 peptide molecules per nanoparticle surface) and the chemotherapeutic agent doxorubicin (156-159 molecules per surface), This nanoplatform is a promising candidate for the nanoparticle-based chemotherapy of pancreatic cancer.

The impact of ultra-radical surgery in the management of patients with stage IIIC and IV epithelial ovarian, fallopian tube, and peritoneal cancer.

PubMed

Turnbull, Hilary L; Akrivos, Nikolaos; Wemyss-Holden, Simon; Maiya, Balachandra; Duncan, Timothy J; Nieto, Joaquin J; Burbos, Nikolaos

2017-03-01

The aim of this study is to estimate the percentage of patients with metastatic ovarian, fallopian tube, and primary peritoneal cancer requiring ultra-radical surgery to achieve cytoreduction to less than 1 cm (optimal) or no macroscopic residual disease (complete). Perioperative data were collected prospectively on consecutive patients undergoing elective cytoreductive surgery for metastatic epithelial ovarian, fallopian tube, or primary peritoneal cancer at the Norfolk and Norwich University Hospital, a tertiary referral cancer centre in the United Kingdom from November 2012 to June 2016. Over a 42-month period, 135 consecutive patients underwent cytoreductive surgery for stage IIIC and IV ovarian, fallopian tube, or primary peritoneal cancer. The median age of the patients was 69 years. 47.4% of the patients underwent diaphragmatic peritonectomy and/or resection, 20% underwent splenectomy, 14.1% had excision of disease from porta hepatis and celiac axis, and 5.2% of the patients had gastrectomy. Cytoreduction to no macroscopic visible disease (complete) and to disease with greater tumour diameter of less than 1 cm (optimal) was achieved in 54.1 and 34.1% of the cases, respectively. Without incorporating surgical procedures in the upper abdomen ('ultra-radical'), the combined rate of complete and optimal cytoreduction would be only 33.3%. Up to 50.4% of the patients in this study required at least one surgical procedure classified as ultra-radical, emphasizing the importance of cytoreductive surgery in the upper abdomen in management of women with stage IIIC and IV ovarian, fallopian tube, and primary peritoneal cancer.

Lung cancer staging now and in the future.

PubMed

Liam, Chong-Kin; Andarini, Sita; Lee, Pyng; Ho, James Chung-Man; Chau, Ngo Quy; Tscheikuna, Jamsak

2015-05-01

For a long time lung cancer was associated with a fatalistic approach by healthcare professionals. In recent years, advances in imaging, improved diagnostic techniques and more effective treatment modalities are reasons for optimism. Accurate lung cancer staging is vitally important because treatment options and prognosis differ significantly by stage. The staging algorithm should include a contrast computed tomography (CT) of the chest and the upper abdomen including adrenals, positron emission tomography/CT for staging the mediastinum and to rule out extrathoracic metastasis in patients considered for surgical resection, endosonography-guided needle sampling procedure replacing mediastinoscopy for near complete mediastinal staging, and brain imaging as clinically indicated. Applicability of evidence-based guidelines for staging of lung cancer depends on the available expertise and level of resources and is directly impacted by financial issues. Considering the diversity of healthcare infrastructure and economic performance of Asian countries, optimal and cost-effective use of staging methods appropriate to the available resources is prudent. The pulmonologist plays a central role in the multidisciplinary approach to lung cancer diagnosis, staging and management. Regional respiratory societies such as the Asian Pacific Society of Respirology should work with national respiratory societies to strive for uniform standards of care. For developing countries, a minimum set of care standards should be formulated. Cost-effective delivery of optimal care for lung cancer patients, including staging within the various healthcare systems, should be encouraged and most importantly, tobacco control implementation should receive an absolute priority status in all countries in Asia. © 2015 Asian Pacific Society of Respirology.

Advantages and limitations of navigation-based multicriteria optimization (MCO) for localized prostate cancer IMRT planning

DOE Office of Scientific and Technical Information (OSTI.GOV)

McGarry, Conor K., E-mail: conor.mcgarry@belfasttrust.hscni.net; Bokrantz, Rasmus; RaySearch Laboratories, Stockholm

2014-10-01

Efficacy of inverse planning is becoming increasingly important for advanced radiotherapy techniques. This study’s aims were to validate multicriteria optimization (MCO) in RayStation (v2.4, RaySearch Laboratories, Sweden) against standard intensity-modulated radiation therapy (IMRT) optimization in Oncentra (v4.1, Nucletron BV, the Netherlands) and characterize dose differences due to conversion of navigated MCO plans into deliverable multileaf collimator apertures. Step-and-shoot IMRT plans were created for 10 patients with localized prostate cancer using both standard optimization and MCO. Acceptable standard IMRT plans with minimal average rectal dose were chosen for comparison with deliverable MCO plans. The trade-off was, for the MCO plans, managedmore » through a user interface that permits continuous navigation between fluence-based plans. Navigated MCO plans were made deliverable at incremental steps along a trajectory between maximal target homogeneity and maximal rectal sparing. Dosimetric differences between navigated and deliverable MCO plans were also quantified. MCO plans, chosen as acceptable under navigated and deliverable conditions resulted in similar rectal sparing compared with standard optimization (33.7 ± 1.8 Gy vs 35.5 ± 4.2 Gy, p = 0.117). The dose differences between navigated and deliverable MCO plans increased as higher priority was placed on rectal avoidance. If the best possible deliverable MCO was chosen, a significant reduction in rectal dose was observed in comparison with standard optimization (30.6 ± 1.4 Gy vs 35.5 ± 4.2 Gy, p = 0.047). Improvements were, however, to some extent, at the expense of less conformal dose distributions, which resulted in significantly higher doses to the bladder for 2 of the 3 tolerance levels. In conclusion, similar IMRT plans can be created for patients with prostate cancer using MCO compared with standard optimization. Limitations exist within MCO regarding conversion of navigated plans to deliverable apertures, particularly for plans that emphasize avoidance of critical structures. Minimizing these differences would result in better quality treatments for patients with prostate cancer who were treated with radiotherapy using MCO plans.« less

Methodologies in the modeling of combined chemo-radiation treatments

NASA Astrophysics Data System (ADS)

Grassberger, C.; Paganetti, H.

2016-11-01

The variety of treatment options for cancer patients has increased significantly in recent years. Not only do we combine radiation with surgery and chemotherapy, new therapeutic approaches such as immunotherapy and targeted therapies are starting to play a bigger role. Physics has made significant contributions to radiation therapy treatment planning and delivery. In particular, treatment plan optimization using inverse planning techniques has improved dose conformity considerably. Furthermore, medical physics is often the driving force behind tumor control and normal tissue complication modeling. While treatment optimization and outcome modeling does focus mainly on the effects of radiation, treatment modalities such as chemotherapy are treated independently or are even neglected entirely. This review summarizes the published efforts to model combined modality treatments combining radiation and chemotherapy. These models will play an increasing role in optimizing cancer therapy not only from a radiation and drug dosage standpoint, but also in terms of spatial and temporal optimization of treatment schedules.

Optimism Bias in Fans and Sports Reporters

PubMed Central

Love, Bradley C.

2015-01-01

People are optimistic about their prospects relative to others. However, existing studies can be difficult to interpret because outcomes are not zero-sum. For example, one person avoiding cancer does not necessitate that another person develops cancer. Ideally, optimism bias would be evaluated within a closed formal system to establish with certainty the extent of the bias and the associated environmental factors, such that optimism bias is demonstrated when a population is internally inconsistent. Accordingly, we asked NFL fans to predict how many games teams they liked and disliked would win in the 2015 season. Fans, like ESPN reporters assigned to cover a team, were overly optimistic about their team’s prospects. The opposite pattern was found for teams that fans disliked. Optimism may flourish because year-to-year team results are marked by auto-correlation and regression to the group mean (i.e., good teams stay good, but bad teams improve). PMID:26352146

Optimism Bias in Fans and Sports Reporters.

PubMed

Love, Bradley C; Kopeć, Łukasz; Guest, Olivia

2015-01-01

People are optimistic about their prospects relative to others. However, existing studies can be difficult to interpret because outcomes are not zero-sum. For example, one person avoiding cancer does not necessitate that another person develops cancer. Ideally, optimism bias would be evaluated within a closed formal system to establish with certainty the extent of the bias and the associated environmental factors, such that optimism bias is demonstrated when a population is internally inconsistent. Accordingly, we asked NFL fans to predict how many games teams they liked and disliked would win in the 2015 season. Fans, like ESPN reporters assigned to cover a team, were overly optimistic about their team's prospects. The opposite pattern was found for teams that fans disliked. Optimism may flourish because year-to-year team results are marked by auto-correlation and regression to the group mean (i.e., good teams stay good, but bad teams improve).

Selection of Optimal Adjuvant Chemotherapy and Targeted Therapy for Early Breast Cancer: ASCO Clinical Practice Guideline Focused Update.

PubMed

Denduluri, Neelima; Chavez-MacGregor, Mariana; Telli, Melinda L; Eisen, Andrea; Graff, Stephanie L; Hassett, Michael J; Holloway, Jamie N; Hurria, Arti; King, Tari A; Lyman, Gary H; Partridge, Ann H; Somerfield, Mark R; Trudeau, Maureen E; Wolff, Antonio C; Giordano, Sharon H

2018-05-22

Purpose To update key recommendations of the ASCO guideline adaptation of the Cancer Care Ontario guideline on the selection of optimal adjuvant chemotherapy regimens for early breast cancer and adjuvant targeted therapy for breast cancer. Methods An Expert Panel conducted targeted systematic literature reviews guided by a signals approach to identify new, potentially practice-changing data that might translate to revised practice recommendations. Results The Expert Panel reviewed phase III trials that evaluated adjuvant capecitabine after completion of standard preoperative anthracycline- and taxane-based combination chemotherapy by patients with early-stage breast cancer HER2-negative breast cancer with residual invasive disease at surgery; the addition of 1 year of adjuvant pertuzumab to combination chemotherapy and trastuzumab for patients with early-stage, HER2-positive breast cancer; and the use of neratinib as extended adjuvant therapy for patients after combination chemotherapy and trastuzumab-based adjuvant therapy with early-stage, HER2-positive breast cancer. Recommendations Patients with early-stage HER2-negative breast cancer with pathologic, invasive residual disease at surgery following standard anthracycline- and taxane-based preoperative therapy may be offered up to six to eight cycles of adjuvant capecitabine. Clinicians may add 1 year of adjuvant pertuzumab to trastuzumab-based combination chemotherapy in patients with high-risk, early-stage, HER2-positive breast cancer. Clinicians may use extended adjuvant therapy with neratinib to follow trastuzumab in patients with early-stage, HER2-positive breast cancer. Neratinib causes substantial diarrhea, and diarrhea prophylaxis must be used. Additional information can be found at www.asco.org/breast-cancer-guidelines .

The current and future role of the medical oncologist in the professional care for cancer patients: a position paper by the European Society for Medical Oncology (ESMO).

PubMed

Popescu, R A; Schäfer, R; Califano, R; Eckert, R; Coleman, R; Douillard, J-Y; Cervantes, A; Casali, P G; Sessa, C; Van Cutsem, E; de Vries, E; Pavlidis, N; Fumasoli, K; Wörmann, B; Samonigg, H; Cascinu, S; Cruz Hernández, J J; Howard, A J; Ciardiello, F; Stahel, R A; Piccart, M

2014-01-01

The number of cancer patients in Europe is rising and significant advances in basic and applied cancer research are making the provision of optimal care more challenging. The concept of cancer as a systemic, highly heterogeneous and complex disease has increased the awareness that quality cancer care should be provided by a multidisciplinary team (MDT) of highly qualified healthcare professionals. Cancer patients also have the right to benefit from medical progress by receiving optimal treatment from adequately trained and highly skilled medical professionals. Built on the highest standards of professional training and continuing medical education, medical oncology is recognised as an independent medical specialty in many European countries. Medical oncology is a core member of the MDT and offers cancer patients a comprehensive and systemic approach to treatment and care, while ensuring evidence-based, safe and cost-effective use of cancer drugs and preserving the quality of life of cancer patients through the entire 'cancer journey'. Medical oncologists are also engaged in clinical and translational research to promote innovation and new therapies and they contribute to cancer diagnosis, prevention and research, making a difference for patients in a dynamic, stimulating professional environment. Medical oncologists play an important role in shaping the future of healthcare through innovation and are also actively involved at the political level to ensure a maximum contribution of the profession to Society and to tackle future challenges. This position paper summarises the multifarious and vital contributions of medical oncology and medical oncologists to today's and tomorrow's professional cancer care.

Genome Science and Personalized Cancer Treatment

ScienceCinema

Gray, Joe

2017-12-09

August 4, 2009 Berkeley Lab lecture: Results from the Human Genome Project are enabling scientists to understand how individual cancers form and progress. This information, when combined with newly developed drugs, can optimize the treatment of individual cancers. Joe Gray, director of Berkeley Labs Life Sciences Division and Associate Laboratory Director for Life and Environmental Sciences, will focus on this approach, its promise, and its current roadblocks — particularly with regard to breast cancer.

COX-2 and Prostate Cancer Angiogenesis

DTIC Science & Technology

2001-03-01

the optimal dosing and timing of a COX-2 inhibitor (NS398) in an animal model of human prostate cancer, (2)and (3) the mechanisms underlying the...cancer tissues (14) and that a COX-2 inhibitor selectively induces apoptosis in a prostate cancer cell line (15). We also demonstrated that treatment of...human prostate tumor-bearing mice with a selective COX-2 inhibitor (NS-398) significantly reduces tumor size, microvessel density and levels of a

Optimizing Adjuvant Therapy for Resected Pancreatic Cancer

Cancer.gov

In this clinical trial, patients with resected pancreatic head cancer will be randomly assigned to receive either gemcitabine with or without erlotinib for 5 treatment cycles. Patients who do not experience disease progression or recurrence will then be r

[Proteome analysis for identification of tumor-associated biomarkers in breast cancer].

PubMed

Wang, Xi; Liang, Wei-Jiang; Zhu, Zhen-Yu; Yang, Ming-Tian; Zeng, Yi-Xin

2004-11-01

Pre-symptomatic screening of early-stage breast cancer may greatly reduce tumor-related mortality. Some tumor markers, such as CA15-3 and CA27-29, are recommended only for monitoring therapy of advanced or relapsed breast cancer. This study was to find new biomarkers that could be used individually or in combination with an existing modality for cost-effective screening of breast cancer by proteome analysis. Protein expression differences among 128 serum samples of 64 breast cancer patients (19 of stage I, 24 of stage II, and 21 of stage III), 52 patients with benign breast diseases, and 12 healthy women were analyzed with IMAC3 and WCX2 Ciphergen ProteinChip Arrays. On WCX2 chip, a panel of 5 proteins (9 116, 8 905, 8 749, 9 470, and 9 692 Da) was selected based on their collective contribution to the optimal separation between breast cancer patients and both non-cancer patients and healthy women, and expression of another 2 proteins (9 405 and 6 424 Da) was different between patients with breast cancer of stage I and stage III. On IMAC3 chip, a panel of 9 proteins (5 236, 7 823, 7 464, 5 213, 5 334, 5 064, 5 374, 7 756, and 7 623 Da) was selected based on their collective contribution to the optimal separation between breast cancer patients and both non-cancer patients and healthy women, and expression of another 3 proteins (7 922, 4 641, and 5 910 Da) was different between patients with breast cancer of stage I and stage III. Protein expression in breast cancer patients is different from that in both non-cancer patients and healthy women, and those proteins with different expression may be used as new biomarkers in breast cancer.

Indigenous Australians with non-small cell lung cancer or cervical cancer receive suboptimal treatment.

PubMed

Whop, Lisa J; Bernardes, Christina M; Kondalsamy-Chennakesavan, Srinivas; Darshan, Deepak; Chetty, Naven; Moore, Suzanne P; Garvey, Gail; Walpole, Euan; Baade, Peter; Valery, Patricia C

2017-10-01

Lung cancer and cervical cancer are higher in incidence for Indigenous Australians and survival is worse compared with non-Indigenous Australians. Here we aim to determine if being Indigenous and/or other factors are associated with patients receiving "suboptimal treatment" compared to "optimal treatment" according to clinical guidelines for two cancer types. Data were collected from hospital medical records for Indigenous adults diagnosed with cervical cancer and non-small cell lung cancer (NSCLC) and a frequency-matched comparison group of non-Indigenous patients in the Queensland Cancer Registry between January 1998 and December 2004. The two cancer types were analyzed separately. A total of 105 women with cervical cancer were included in the study, 56 of whom were Indigenous. Indigenous women had higher odds of not receiving optimal treatment according to clinical guidelines (unadjusted OR 7.1; 95% CI, 1.5-33.3), even after adjusting for stage (OR 5.7; 95% CI, 1.2-27.3). Of 225 patients with NSCLC, 198 patients (56% Indigenous) had sufficient information available to be analyzed. The odds of receiving suboptimal treatment were significantly higher for Indigenous compared to non-Indigenous NSCLC patients (unadjusted OR 1.9; 95% CI, 1.0-3.6) and remained significant after adjusting for stage, comorbidity and age (adjusted OR 2.1; 95% CI, 1.1-4.1). The monitoring of treatment patterns and appraisal against guidelines can provide valuable evidence of inequity in cancer treatment. We found that Indigenous people with lung cancer or cervical cancer received suboptimal treatment, reinforcing the need for urgent action to reduce the impact of these two cancer types on Indigenous people. © 2016 John Wiley & Sons Australia, Ltd.

Parameter optimization for constructing competing endogenous RNA regulatory network in glioblastoma multiforme and other cancers.

PubMed

Chiu, Yu-Chiao; Hsiao, Tzu-Hung; Chen, Yidong; Chuang, Eric Y

2015-01-01

In addition to direct targeting and repressing mRNAs, recent studies reported that microRNAs (miRNAs) can bridge up an alternative layer of post-transcriptional gene regulatory networks. The competing endogenous RNA (ceRNA) regulation depicts the scenario where pairs of genes (ceRNAs) sharing, fully or partially, common binding miRNAs (miRNA program) can establish coexpression through competition for a limited pool of the miRNA program. While the dynamics of ceRNA regulation among cellular conditions have been verified based on in silico and in vitro experiments, comprehensive investigation into the strength of ceRNA regulation in human datasets remains largely unexplored. Furthermore, pan-cancer analysis of ceRNA regulation, to our knowledge, has not been systematically investigated. In the present study we explored optimal conditions for ceRNA regulation, investigated functions governed by ceRNA regulation, and evaluated pan-cancer effects. We started by investigating how essential factors, such as the size of miRNA programs, the number of miRNA program binding sites, and expression levels of miRNA programs and ceRNAs affect the ceRNA regulation capacity in tumors derived from glioblastoma multiforme patients captured by The Cancer Genome Atlas (TCGA). We demonstrated that increased numbers of common targeting miRNAs as well as the abundance of binding sites enhance ceRNA regulation and strengthen coexpression of ceRNA pairs. Also, our investigation revealed that the strength of ceRNA regulation is dependent on expression levels of both miRNA programs and ceRNAs. Through functional annotation analysis, our results indicated that ceRNA regulation is highly associated with essential cellular functions and diseases including cancer. Furthermore, the highly intertwined ceRNA regulatory relationship enables constitutive and effective intra-function regulation of genes in diverse types of cancer. Using gene and microRNA expression datasets from TCGA, we successfully quantified the optimal conditions for ceRNA regulation, which hinge on four essential parameters of ceRNAs. Our analysis suggests optimized ceRNA regulation is related to disease pathways and essential cellular functions. Furthermore, although the strength of ceRNA regulation is dynamic among cancers, its governing functions are stably maintained. The findings of this report contribute to better understanding of ceRNA dynamics and its crucial roles in cancers.

SU-E-T-109: An Investigation of Including Variable Relative Biological Effectiveness in Intensity Modulated Proton Therapy Planning Optimization for Head and Neck Cancer Patients

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cao, W; Zaghian, M; Lim, G

2015-06-15

Purpose: The current practice of considering the relative biological effectiveness (RBE) of protons in intensity modulated proton therapy (IMPT) planning is to use a generic RBE value of 1.1. However, RBE is indeed a variable depending on the dose per fraction, the linear energy transfer, tissue parameters, etc. In this study, we investigate the impact of using variable RBE based optimization (vRBE-OPT) on IMPT dose distributions compared by conventional fixed RBE based optimization (fRBE-OPT). Methods: Proton plans of three head and neck cancer patients were included for our study. In order to calculate variable RBE, tissue specific parameters were obtainedmore » from the literature and dose averaged LET values were calculated by Monte Carlo simulations. Biological effects were calculated using the linear quadratic model and they were utilized in the variable RBE based optimization. We used a Polak-Ribiere conjugate gradient algorithm to solve the model. In fixed RBE based optimization, we used conventional physical dose optimization to optimize doses weighted by 1.1. IMPT plans for each patient were optimized by both methods (vRBE-OPT and fRBE-OPT). Both variable and fixed RBE weighted dose distributions were calculated for both methods and compared by dosimetric measures. Results: The variable RBE weighted dose distributions were more homogenous within the targets, compared with the fixed RBE weighted dose distributions for the plans created by vRBE-OPT. We observed that there were noticeable deviations between variable and fixed RBE weighted dose distributions if the plan were optimized by fRBE-OPT. For organs at risk sparing, dose distributions from both methods were comparable. Conclusion: Biological dose based optimization rather than conventional physical dose based optimization in IMPT planning may bring benefit in improved tumor control when evaluating biologically equivalent dose, without sacrificing OAR sparing, for head and neck cancer patients. The research is supported in part by National Institutes of Health Grant No. 2U19CA021239-35.« less

Radiation Toxicity to the Cardiovascular System.

PubMed

Marmagkiolis, Konstantinos; Finch, William; Tsitlakidou, Despina; Josephs, Tyler; Iliescu, Cezar; Best, John F; Yang, Eric H

2016-03-01

Radiation therapy is an important component of cancer treatment, and today, it is applied to approximately 50% of malignancies, including valvular, myocardial, pericardial, coronary or peripheral vascular disease, and arrhythmias. An increased clinical suspicion and knowledge of those mechanisms is important to initiate appropriate screening for the optimal diagnosis and treatment. As the number of cancer survivors has been steadily increasing over the last decades, cardio-oncology, an evolving subspecialty of cardiology, will soon play a pivotal role in raising awareness of the increased cardiovascular risk and formulate strategies to optimally manage patients in this unique population.

An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer.

PubMed

Lorenzo, Enery; Camacho-Caceres, Katia; Ropelewski, Alexander J; Rosas, Juan; Ortiz-Mojer, Michael; Perez-Marty, Lynn; Irizarry, Juan; Gonzalez, Valerie; Rodríguez, Jesús A; Cabrera-Rios, Mauricio; Isaza, Clara

2015-06-01

Establishing how a series of potentially important genes might relate to each other is relevant to understand the origin and evolution of illnesses, such as cancer. High-throughput biological experiments have played a critical role in providing information in this regard. A special challenge, however, is that of trying to conciliate information from separate microarray experiments to build a potential genetic signaling path. This work proposes a two-step analysis pipeline, based on optimization, to approach meta-analysis aiming to build a proxy for a genetic signaling path.

The influence of dispositional optimism on post-visit anxiety and risk perception accuracy among breast cancer genetic counselees.

PubMed

Wiering, B M; Albada, A; Bensing, J M; Ausems, M G E M; van Dulmen, A M

2013-11-01

Much is unknown about the influence of dispositional optimism and affective communication on genetic counselling outcomes. This study investigated the influence of counselees' optimism on the counselees' risk perception accuracy and anxiety, while taking into account the affective communication during the first consultation for breast cancer genetic counselling. Counselees completed questionnaires measuring optimism, anxiety and the perceived risk that hereditary breast cancer runs in the family before, and anxiety and perceived risk after the first consultation. Consultations were videotaped. The duration of eye contact was measured, and verbal communication was rated using the Roter Interaction Analysis System. Less-optimistic counselees were more anxious post-visit (β = -.29; p = .00). Counsellors uttered fewer reassuring statements if counselees were more anxious (β = -.84; p = .00) but uttered more reassurance if counselees were less optimistic (β = -.76; p = .01). Counsellors expressed less empathy if counselees perceived their risk as high (β = -1.51; p = .04). An increase in the expression of reassurance was related to less post-visit anxiety (β = -.35; p = .03). More empathy was related to a greater overestimation of risk (β = .92; p = .01). Identification of a lack of optimism as a risk factor for high anxiety levels enables the adaptation of affective communication to improve genetic counselling outcomes. Because reassurance was related to less anxiety, beneficial adaptation is attainable by increasing counsellors' reassurance, if possible. Because of a lack of optimally adapted communication in this study, further research is needed to clarify how to increase counsellors' ability to adapt to counselees. Copyright © 2013 John Wiley & Sons, Ltd.

Treatment Optimization Using Computed Tomography-Delineated Targets Should be Used for Supraclavicular Irradiation for Breast Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liengsawangwong, Raweewan; Yu, T.-K.; Sun, T.-L.

2007-11-01

Background: The purpose of this study was to determine whether the use of optimized CT treatment planning offered better coverage of axillary level III (LIII)/supraclavicular (SC) targets than the empirically derived dose prescription that are commonly used. Materials/Methods: Thirty-two consecutive breast cancer patients who underwent CT treatment planning of a SC field were evaluated. Each patient was categorized according to body mass index (BMI) classes: normal, overweight, or obese. The SC and LIII nodal beds were contoured, and four treatment plans for each patient were generated. Three of the plans used empiric dose prescriptions, and these were compared with amore » CT-optimized plan. Each plan was evaluated by two criteria: whether 98% of target volume receive >90% of prescribed dose and whether < 5% of the irradiated volume received 105% of prescribed dose. Results: The mean depth of SC and LIII were 3.2 cm (range, 1.4-6.7 cm) and 3.1 (range, 1.7-5.8 cm). The depth of these targets varied according across BMI classes (p = 0.01). Among the four sets of plans, the CT-optimized plans were the most successful at achieving both of the dosimetry objectives for every BMI class (normal BMI, p = .003; overweight BMI, p < .0001; obese BMI, p < .001). Conclusions: Across all BMI classes, routine radiation prescriptions did not optimally cover intended targets for every patient. Optimized CT-based treatment planning generated the most successful plans; therefore, we recommend the use of routine CT simulation and treatment planning of SC fields in breast cancer.« less

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model

PubMed Central

Acampora, Giovanni; Brown, David; Rees, Robert C.

2016-01-01

The prediction of cancer staging in prostate cancer is a process for estimating the likelihood that the cancer has spread before treatment is given to the patient. Although important for determining the most suitable treatment and optimal management strategy for patients, staging continues to present significant challenges to clinicians. Clinical test results such as the pre-treatment Prostate-Specific Antigen (PSA) level, the biopsy most common tumor pattern (Primary Gleason pattern) and the second most common tumor pattern (Secondary Gleason pattern) in tissue biopsies, and the clinical T stage can be used by clinicians to predict the pathological stage of cancer. However, not every patient will return abnormal results in all tests. This significantly influences the capacity to effectively predict the stage of prostate cancer. Herein we have developed a neuro-fuzzy computational intelligence model for classifying and predicting the likelihood of a patient having Organ-Confined Disease (OCD) or Extra-Prostatic Disease (ED) using a prostate cancer patient dataset obtained from The Cancer Genome Atlas (TCGA) Research Network. The system input consisted of the following variables: Primary and Secondary Gleason biopsy patterns, PSA levels, age at diagnosis, and clinical T stage. The performance of the neuro-fuzzy system was compared to other computational intelligence based approaches, namely the Artificial Neural Network, Fuzzy C-Means, Support Vector Machine, the Naive Bayes classifiers, and also the AJCC pTNM Staging Nomogram which is commonly used by clinicians. A comparison of the optimal Receiver Operating Characteristic (ROC) points that were identified using these approaches, revealed that the neuro-fuzzy system, at its optimal point, returns the largest Area Under the ROC Curve (AUC), with a low number of false positives (FPR = 0.274, TPR = 0.789, AUC = 0.812). The proposed approach is also an improvement over the AJCC pTNM Staging Nomogram (FPR = 0.032, TPR = 0.197, AUC = 0.582). PMID:27258119

TH-CD-209-05: Impact of Spot Size and Spacing On the Quality of Robustly-Optimized Intensity-Modulated Proton Therapy Plans for Lung Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, W; Ding, X; Hu, Y

Purpose: To investigate how spot size and spacing affect plan quality, especially, plan robustness and the impact of interplay effect, of robustly-optimized intensity-modulated proton therapy (IMPT) plans for lung cancer. Methods: Two robustly-optimized IMPT plans were created for 10 lung cancer patients: (1) one for a proton beam with in-air energy dependent large spot size at isocenter (σ: 5–15 mm) and spacing (1.53σ); (2) the other for a proton beam with small spot size (σ: 2–6 mm) and spacing (5 mm). Both plans were generated on the average CTs with internal-gross-tumor-volume density overridden to irradiate internal target volume (ITV). Themore » root-mean-square-dose volume histograms (RVH) measured the sensitivity of the dose to uncertainties, and the areas under RVH curves were used to evaluate plan robustness. Dose evaluation software was developed to model time-dependent spot delivery to incorporate interplay effect with randomized starting phases of each field per fraction. Patient anatomy voxels were mapped from phase to phase via deformable image registration to score doses. Dose-volume-histogram indices including ITV coverage, homogeneity, and organs-at-risk (OAR) sparing were compared using Student-t test. Results: Compared to large spots, small spots resulted in significantly better OAR sparing with comparable ITV coverage and homogeneity in the nominal plan. Plan robustness was comparable for ITV and most OARs. With interplay effect considered, significantly better OAR sparing with comparable ITV coverage and homogeneity is observed using smaller spots. Conclusion: Robust optimization with smaller spots significantly improves OAR sparing with comparable plan robustness and similar impact of interplay effect compare to larger spots. Small spot size requires the use of larger number of spots, which gives optimizer more freedom to render a plan more robust. The ratio between spot size and spacing was found to be more relevant to determine plan robustness and the impact of interplay effect than spot size alone. This research was supported by the National Cancer Institute Career Developmental Award K25CA168984, by the Fraternal Order of Eagles Cancer Research Fund Career Development Award, by The Lawrence W. and Marilyn W. Matteson Fund for Cancer Research, by Mayo Arizona State University Seed Grant, and by The Kemper Marley Foundation.« less

Molecular basis of the potential of vitamin D to prevent cancer.

PubMed

Ingraham, Betty A; Bragdon, Beth; Nohe, Anja

2008-01-01

To review current research findings in cell biology, epidemiology, preclinical, and clinical trials on the protective effects of vitamin D against the development of cancers of the breast, colon, prostate, lung, and ovary. Current recommendations for optimal vitamin D status, the movement towards revision of standards, and reflections on healthy exposure to sunlight are also reviewed. Search methodology: A literature search was conducted in April and updated in September 2007. The Medline and Web of Knowledge databases were searched for primary and review articles published between 1970 and 2007, using the search terms 'vitamin D', 'calcitriol', 'cancer', 'chemoprevention', 'nuclear receptor', 'vitamin D receptor', 'apoptosis', 'cell cycle', 'epidemiology', and 'cell adhesion molecule'. Articles that focused on epidemiological, preclinical, and clinical evidence for vitamin D's effects were selected and additional articles were obtained from reference lists of the retrieved articles. An increasing body of research supports the hypothesis that the active form of vitamin D has significant, protective effects against the development of cancer. Epidemiological studies show an inverse association between sun exposure, serum levels of 25(OH)D, and intakes of vitamin D and risk of developing and/or surviving cancer. The protective effects of vitamin D result from its role as a nuclear transcription factor that regulates cell growth, differentiation, apoptosis and a wide range of cellular mechanisms central to the development of cancer. A significant number of individuals have serum vitamin D levels lower than what appears to protect against cancer, and the research community is currently revising the guidelines for optimal health. This will lead to improved public health policies and to reduced risk of cancer. Research strongly supports the view that efforts to improve vitamin D status would have significant protective effects against the development of cancer. The clinical research community is currently revising recommendations for optimal serum levels and for sensible levels of sun exposure, to levels greater than previously thought. Currently, most experts in the field believe that intakes of between 1000 and 4000 IU will lead to a more healthy level of serum 25(OH)D, at approximately 75 nmol/L that will offer significant protection effects against cancers of the breast, colon, prostate, ovary, lungs, and pancreas. The first randomized trial has shown significant protection against breast cancer, and other clinical trials will follow and ultimately lead to improved public health policies and significantly fewer cancers.

Casablanca International Workshop in Mathematical Biology: Control and Analysis

DTIC Science & Technology

2012-10-05

Africa such Cholera, Malaria, HIV and within-­host diseases such as cancers . The economic, demographical and environmental changes in Africa require that...mathematical modeling of emerging diseases in Africa, cancer modeling, calcium oscillation, population dynamics, signaling networks, and optimal...INVESTIGATOR(S): Phone Number: 4807275005 Principal: Y Name: Abdessamad Tridane Email: atridan@asu.edu diseases such as cancer , vector-­borne diseases

Managing toxicities and optimal dosing of targeted drugs in advanced kidney cancer

PubMed Central

Seruga, B.; Gan, H.K.; Knox, J.J.

2009-01-01

The toxicities of new, targeted drugs may diminish their effectiveness in advanced kidney cancer if those toxicities are not recognized and properly addressed early in patient treatment. Most of the drug-related toxicities in advanced kidney cancer are manageable with supportive care, obviating a need for long interruptions, dose reductions, or permanent discontinuation of the treatment. PMID:19478903

PREVENT Cancer Preclinical Drug Development Program (PREVENT) | Division of Cancer Prevention

Cancer.gov

The PREVENT program provides a structure for the introduction of new agents, drugs and vaccines to inhibit, retard or reverse the cancer process. The program was designed to optimize translational opportunities from discovery to the clinic, and provide a mechanism to identify and study efficacy and pharmacodynamics biomarkers that will help in phase II trials to evaluate drug

Tumor cell-derived microparticles: a new form of cancer vaccine.

PubMed

Zhang, Huafeng; Huang, Bo

2015-08-01

For cancer vaccines, tumor antigen availability is currently not an issue due to technical advances. However, the generation of optimal immune stimulation during vaccination is challenging. We have recently demonstrated that tumor cell-derived microparticles (MP) can function as a new form of potent cancer vaccine by efficiently activating type I interferon pathway in a cGAS/STING dependent manner.

Meeting report from the Prostate Cancer Foundation PSMA-directed radionuclide scientific working group.

PubMed

Miyahira, Andrea K; Pienta, Kenneth J; Morris, Michael J; Bander, Neil H; Baum, Richard P; Fendler, Wolfgang P; Goeckeler, William; Gorin, Michael A; Hennekes, Hartwig; Pomper, Martin G; Sartor, Oliver; Tagawa, Scott T; Williams, Scott; Soule, Howard R

2018-05-01

The Prostate Cancer Foundation (PCF) convened a PSMA-Directed Radionuclide Scientific Working Group on November 14, 2017, at Weill Cornell Medicine, New York, NY. The meeting was attended by 35 global investigators with expertise in prostate cancer biology, radionuclide therapy, molecular imaging, prostate-specific membrane antigen (PSMA)-targeted agents, drug development, and prostate cancer clinical trials. The goal of this meeting was to discuss the potential for using PSMA-targeted radionuclide agents for the treatment of advanced prostate cancer and to define the studies and clinical trials necessary for validating and optimizing the use of these agents. Several major topic areas were discussed including the overview of PSMA biology, lessons and applications of PSMA-targeted PET imaging, the nuances of designing PSMA-targeted radionuclide agents, clinical experiences with PSMA-targeted radionuclides, PCF-funded projects to accelerate PSMA-targeted radionuclide therapy, and barriers to the use of radionuclide treatments in widespread clinical practice. This article reviews the major topics discussed at the meeting with the goal of promoting research that will validate and optimize the use of PSMA-targeted radionuclide therapies for the treatment of advanced prostate cancer. © 2018 Wiley Periodicals, Inc.

Improving communication in cancer pain management nursing: a randomized controlled study assessing the efficacy of a communication skills training program.

PubMed

Canivet, Delphine; Delvaux, Nicole; Gibon, Anne-Sophie; Brancart, Cyrielle; Slachmuylder, Jean-Louis; Razavi, Darius

2014-12-01

Effective communication is needed for optimal cancer pain management. This study assessed the efficacy of a general communication skills training program for oncology nurses on communication about pain management. A total of 115 nurses were randomly assigned to a training group (TG) or control group (CG). The assessment included the recording of interviews with a simulated cancer patient at baseline for both groups and after training (TG) or 3 months after baseline (CG). Two psychologists rated the content of interview transcripts to assess cancer pain management communication. Group-by-time effects were measured using a generalized estimating equation. Trained nurses asked the simulated patient more questions about emotions associated with pain (relative rate [RR] = 4.28, p = 0.049) and cognitions associated with pain treatment (RR = 3.23, p < 0.001) and used less paternalistic statements about cancer pain management (RR = 0.40, p = 0.006) compared with untrained nurses. The general communication skills training program improved only a few of the communication strategies needed for optimal cancer pain management in nursing. General communication skills training programs should be consolidated using specific modules focusing on communication skills related to cancer pain management.

Cancer of the cervix - from bleak past to bright future; a review, with an emphasis on cancer of the cervix in malaysia.

PubMed

Nor Hayati, Othman

2003-01-01

Cancer of the cervix has the potential to be eradicated since the initiating cause is known. There was not much known about this cancer until the time of the Renaissance. In Malaysia, it is the second most common cancer among females after breast cancer. The strategies on prevention in this country are still not optimal. This article highlights the problems and also discusses the pathogenesis of this disease. The key to prevention is screening and the future is the era of molecular pap smear.

Oncolytic gene therapy for canine cancers: teaching old dog viruses new tricks.

PubMed

Arendt, M; Nasir, L; Morgan, I M

2009-09-01

The use of viruses to treat cancer has been studied for decades. With the advancement of molecular biology, viruses have been modified and genetically engineered to optimize their ability to target cancer cells. Canine viruses, such as distemper virus and adenovirus, are being exploited for the treatment of canine cancer as the dog has proven to be a good comparative model for human cancer research and proof of concept investigations. In this review, we introduce the concept of oncolytic viruses and describe some of the preliminary attempts to use oncolytic viruses for the treatment of canine cancer.

Diagnosing cancer in the bush: a mixed-methods study of symptom appraisal and help-seeking behaviour in people with cancer from rural Western Australia.

PubMed

Emery, Jon D; Walter, Fiona M; Gray, Vicky; Sinclair, Craig; Howting, Denise; Bulsara, Max; Bulsara, Caroline; Webster, Andrew; Auret, Kirsten; Saunders, Christobel; Nowak, Anna; Holman, C D'Arcy

2013-06-01

Previous studies have focused on the treatment received by rural cancer patients and have not examined their diagnostic pathways as reasons for poorer outcomes in rural Australia. To compare and explore symptom appraisal and help-seeking behaviour in patients with breast, lung, prostate or colorectal cancer from rural Western Australia (WA). A mixed-methods study of people recently diagnosed with breast, lung, prostate or colorectal cancer from rural WA. The time from first symptom to diagnosis (i.e. total diagnostic interval, TDI) was calculated from interviews and medical records. Sixty-six participants were recruited (24 breast, 20 colorectal, 14 prostate and 8 lung cancer patients). There was a highly significant difference in time from symptom onset to seeking help between cancers (P = 0.006). Geometric mean symptom appraisal for colorectal cancer was significantly longer than that for breast and lung cancers [geometric mean differences: 2.58 (95% confidence interval, CI: 0.64-4.53), P = 0.01; 3.97 (1.63-6.30), P = 0.001, respectively]. There was a significant overall difference in arithmetic mean TDI (P = 0.046); breast cancer TDI was significantly shorter than colorectal or prostate cancer TDI [mean difference : 266.3 days (95% CI: 45.9-486.8), P = 0.019; 277.0 days, (32.1-521.9), P = 0.027, respectively]. These differences were explained by the nature and personal interpretation of symptoms, perceived as well as real problems of access to health care, optimism, stoicism, machismo, fear, embarrassment and competing demands. Longer symptom appraisal was observed for colorectal cancer. Participants defined core characteristics of rural Australians as optimism, stoicism and machismo. These features, as well as access to health care, contribute to later presentation of cancer.

Managing older patients with head and neck cancer: The non-surgical curative approach.

PubMed

Iqbal, Muhammad Shahid; Dua, Divyanshu; Kelly, Charles; Bossi, Paolo

2018-06-09

Managing older patients with head and neck cancers poses a challenge due to the often reduced levels of physiological reserve, the frequent comorbidities and treatment related toxicity. These factors have implications on speech, breathing and swallowing functions. Treatment management plans in these patients may result in de-intensification strategies and as a result of this, use of non-standard treatments is increasing. There have been published reports that indicate the addition of concurrent systemic therapy to radiation in selected older patients is feasible, and produces outcomes comparable with younger patients. However, some other studies including meta-analyses suggest a lack of real survival benefit with the addition of chemotherapy. So, the key point appears to be the optimal patient selection. Appropriate geriatric and frailty assessments are required to help determine the optimal treatment for older patients with head and neck cancer. Treatment for this population still needs to be well defined and optimized in both modality and intensity. Qualitative studies are also required to address short and long-term post-treatment quality-of-life and survivorship issues in this specific patient population. This review summarizes the evidence available regarding the non-surgical management of older patients with head and neck cancers. Crown Copyright © 2018. Published by Elsevier Ltd. All rights reserved.

[Treatment for locally advanced prostate cancer: value of surgery].

PubMed

Azuma, Haruhito; Katsuoka, Yoji

2006-06-01

Surgical therapy is not only a therapeutic method but also an important procedure to provide useful information in determining a postoperative treatment strategy. Compared with postoperative cancer staging based on specimens obtained during surgery, more than 30% of cancers were inaccurately staged preoperatively, even when a current advanced diagnostic imaging technique was used. Compared with postoperative histological 30-40% of cancer staging were inaccurately staged based on a preoperative biopsy. These misstaging cases pose a significantly important problem. Approximately 15% and 30% of clinical stage C prostate cancers have been rated as pT2 and pN(+), respectively. Patients with pT3 prostate cancer who underwent radical prostatectomy had 5-year and 10-year overall survival rates of 82% and 67%, respectively, which were comparable to those in patients with pT2 prostate cancer (82% and 67%, respectively). However, patients with prostate cancer rated as pT4 and pN(+) had very poor outcomes with 5-year overall survival rates of 42.4% and 32.6%, respectively. Therefore, even in patients with stage C prostate cancer, surgical therapy should be recommended if no infiltration of adjacent tissue has been noted and the operation is applicable; and an optimal postoperative therapeutic strategy should be selected based on the accurate pathological staging and histological grading using postoperative pathological specimens. Such approaches will prevent unnecessary hormone therapy in patients with pT2 prostate cancer and prevent missing optimal timing for radical cure, as well as allowing appropriate therapy to be selected for patients with pT4 and pN(+) prostate cancer, for whom prognosis may be poor.

Breast cancer screening in an era of personalized regimens: a conceptual model and National Cancer Institute initiative for risk-based and preference-based approaches at a population level.

PubMed

Onega, Tracy; Beaber, Elisabeth F; Sprague, Brian L; Barlow, William E; Haas, Jennifer S; Tosteson, Anna N A; D Schnall, Mitchell; Armstrong, Katrina; Schapira, Marilyn M; Geller, Berta; Weaver, Donald L; Conant, Emily F

2014-10-01

Breast cancer screening holds a prominent place in public health, health care delivery, policy, and women's health care decisions. Several factors are driving shifts in how population-based breast cancer screening is approached, including advanced imaging technologies, health system performance measures, health care reform, concern for "overdiagnosis," and improved understanding of risk. Maximizing benefits while minimizing the harms of screening requires moving from a "1-size-fits-all" guideline paradigm to more personalized strategies. A refined conceptual model for breast cancer screening is needed to align women's risks and preferences with screening regimens. A conceptual model of personalized breast cancer screening is presented herein that emphasizes key domains and transitions throughout the screening process, as well as multilevel perspectives. The key domains of screening awareness, detection, diagnosis, and treatment and survivorship are conceptualized to function at the level of the patient, provider, facility, health care system, and population/policy arena. Personalized breast cancer screening can be assessed across these domains with both process and outcome measures. Identifying, evaluating, and monitoring process measures in screening is a focus of a National Cancer Institute initiative entitled PROSPR (Population-based Research Optimizing Screening through Personalized Regimens), which will provide generalizable evidence for a risk-based model of breast cancer screening, The model presented builds on prior breast cancer screening models and may serve to identify new measures to optimize benefits-to-harms tradeoffs in population-based screening, which is a timely goal in the era of health care reform. © 2014 American Cancer Society.

Genome Science and Personalized Cancer Treatment (LBNL Summer Lecture Series)

ScienceCinema

Gray, Joe [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Division and Associate Lab. Director for Life and Environmental Sciences

2018-05-04

Summer Lecture Series 2009: Results from the Human Genome Project are enabling scientists to understand how individual cancers form and progress. This information, when combined with newly developed drugs, can optimize the treatment of individual cancers. Joe Gray, director of Berkeley Labs Life Sciences Division and Associate Laboratory Director for Life and Environmental Sciences, will focus on this approach, its promise, and its current roadblocks — particularly with regard to breast cancer.

Boron neutron capture therapy for oral precancer: proof of principle in an experimental animal model.

PubMed

Monti Hughes, A M; Pozzi, E C C; Thorp, S; Garabalino, M A; Farías, R O; González, S J; Heber, E M; Itoiz, M E; Aromando, R F; Molinari, A J; Miller, M; Nigg, D W; Curotto, P; Trivillin, V A; Schwint, A E

2013-11-01

Field-cancerized tissue can give rise to second primary tumours, causing therapeutic failure. Boron neutron capture therapy (BNCT) is based on biological targeting and would serve to treat undetectable foci of malignant transformation. The aim of this study was to optimize BNCT for the integral treatment for oral cancer, with particular emphasis on the inhibitory effect on tumour development originating in precancerous conditions, and radiotoxicity of different BNCT protocols in a hamster cheek pouch oral precancer model. Groups of cancerized hamsters were locally exposed to single or double (2 or 4 weeks apart) applications of BNCT at different dose levels, mediated by the boron compounds boronophenylalanine (BPA) or BPA and decahydrodecaborate (GB-10) administered jointly. Cancerized, sham-irradiated hamsters served as controls. Clinical status, tumour development from field-cancerized tissue and mucositis were followed for 8 months. A double application (4 weeks apart) of BNCT mediated by GB-10+ BPA at a total dose of 10 Gy in two 5-Gy doses rendered the best therapeutic advantage (63-100% inhibition of tumour development from field-cancerized tissue), minimizing dose-limiting mucositis. BNCT can be optimized for the integral treatment for head and neck cancer, considering the implications for field-cancerized tissue. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Optimizing prognosis-related key miRNA-target interactions responsible for cancer metastasis.

PubMed

Zhao, Hongying; Yuan, Huating; Hu, Jing; Xu, Chaohan; Liao, Gaoming; Yin, Wenkang; Xu, Liwen; Wang, Li; Zhang, Xinxin; Shi, Aiai; Li, Jing; Xiao, Yun

2017-12-12

Increasing evidence suggests that the abnormality of microRNAs (miRNAs) and their downstream targets is frequently implicated in the pathogenesis of human cancers, however, the clinical benefit of causal miRNA-target interactions has been seldom studied. Here, we proposed a computational method to optimize prognosis-related key miRNA-target interactions by combining transcriptome and clinical data from thousands of TCGA tumors across 16 cancer types. We obtained a total of 1,956 prognosis-related key miRNA-target interactions between 112 miRNAs and 1,443 their targets. Interestingly, these key target genes are specifically involved in tumor progression-related functions, such as 'cell adhesion' and 'cell migration'. Furthermore, they are most significantly correlated with 'tissue invasion and metastasis', a hallmark of metastasis, in ten distinct types of cancer through the hallmark analysis. These results implicated that the prognosis-related key miRNA-target interactions were highly associated with cancer metastasis. Finally, we observed that the combination of these key miRNA-target interactions allowed to distinguish patients with good prognosis from those with poor prognosis both in most TCGA cancer types and independent validation sets, highlighting their roles in cancer metastasis. We provided a user-friendly database named miRNATarget (freely available at http://biocc.hrbmu.edu.cn/miRNATar/), which provides an overview of the prognosis-related key miRNA-target interactions across 16 cancer types.

Swing of the Surgical Pendulum: A Return to Surgery for Treatment of Head and Neck Cancer in the 21st Century?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Holsinger, F. Christopher; Weber, Randal S.

Treatment for head and neck cancer has evolved significantly during the past 100 years. Beginning with Bilroth's total laryngectomy on New Year's Day in 1873, 'radical' surgery remained the only accepted treatment for head and neck cancer when optimal local and regional control was the goal. Bigger was still better when it came to managing the primary tumor and the neck. The 'commando' procedure and radical neck dissection were the hallmarks of this first generation of treatments of head-and-neck cancer. With the advent of microvascular reconstructive techniques, larger and more comprehensive resections could be performed. Despite these large resections andmore » their 'mutilating' sequelae, overall survival did not improve. Even for intermediate-stage disease in head-and-neck cancer, the 5-year survival rate did not improve >50%. Many concluded that more than the scalpel was needed for optimal local and regional control, especially for intermediate- and advanced-stage disease. Most important, the multidisciplinary teams must identify and correlate biomarkers in the tumor and host that predict for a response to therapy and for optimal functional recovery. As the pendulum swings back, a scientific approach using tissue biomarkers for the response to treatment in the setting of multidisciplinary trials must emerge as the new paradigm. In the postgenomic era, treatment decisions should be made based on functional and oncologic parameters-not just to avoid perceived morbidity.« less

[Professional's expectations to improve quality of care and social services utilization in geriatric oncology].

PubMed

Antoine, Valéry; de Wazières, Benoît; Houédé, Nadine

2015-02-01

Coordination of a multidisciplinary and multi-professional intervention is a key issue in the management of elderly cancer patients to improve health status and quality of life. Optimizing the links between professionals is needed to improve care planning, health and social services utilization. Descriptive study in a French University Hospital. A 6-item structured questionnaire was addressed to professionals involved in global and supportive cares of elderly cancer patients (name, location, effective health care and services offered, needs to improve the quality of their intervention). After the analysis of answers, definition of propositions to improve cares and services utilization. The 37 respondents identified a total of 166 needs to improve quality of care in geriatric oncology. Major expectations were concerning improvement of global/supportive cares and health care services utilization, a better coordination between geriatric teams and oncologists. Ten propositions, including a model of in-hospital health care planning, were defined to answer to professional's needs with the aim of optimizing cancer treatment and global cares. Identification of effective services and needs can represent a first step in a continuous program to improve quality of cares, according to the French national cancer plan 2014-2019. It allows federating professionals for a coordination effort, a better organization of the clinical activity in geriatric oncology, to optimize clinical practice and global cares. Copyright © 2014 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

Asian society of gynecologic oncology workshop 2010

PubMed Central

Suh, Dong Hoon; Kim, Jae Weon; Aziz, Mohamad Farid; Devi, Uma K.; Ngan, Hextan Y. S.; Nam, Joo-Hyun; Kim, Seung Cheol; Kato, Tomoyasu; Ryu, Hee Sug; Fujii, Shingo; Lee, Yoon Soon; Kim, Jong Hyeok; Kim, Tae-Joong; Kim, Young Tae; Wang, Kung-Liahng; Lee, Taek Sang; Ushijima, Kimio; Shin, Sang-Goo; Chia, Yin Nin; Wilailak, Sarikapan; Park, Sang Yoon; Katabuchi, Hidetaka; Kamura, Toshiharu

2010-01-01

This workshop was held on July 31-August 1, 2010 and was organized to promote the academic environment and to enhance the communication among Asian countries prior to the 2nd biennial meeting of Australian Society of Gynaecologic Oncologists (ASGO), which will be held on November 3-5, 2011. We summarized the whole contents presented at the workshop. Regarding cervical cancer screening in Asia, particularly in low resource settings, and an update on human papillomavirus (HPV) vaccination was described for prevention and radical surgery overview, fertility sparing and less radical surgery, nerve sparing radical surgery and primary chemoradiotherapy in locally advanced cervical cancer, were discussed for management. As to surgical techniques, nerve sparing radical hysterectomy, optimal staging in early ovarian cancer, laparoscopic radical hysterectomy, one-port surgery and robotic surgery were introduced. After three topics of endometrial cancer, laparoscopic surgery versus open surgery, role of lymphadenectomy and fertility sparing treatment, there was a special additional time for clinical trials in Asia. Finally, chemotherapy including neo-adjuvant chemotherapy, optimal surgical management, and the basis of targeted therapy in ovarian cancer were presented. PMID:20922136

TU-EF-204-09: A Preliminary Method of Risk-Informed Optimization of Tube Current Modulation for Dose Reduction in CT

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gao, Y; Liu, B; Kalra, M

Purpose: X-rays from CT scans can increase cancer risk to patients. Lifetime Attributable Risk of Cancer Incidence for adult patients has been investigated and shown to decrease as patient age. However, a new risk model shows an increasing risk trend for several radiosensitive organs for middle age patients. This study investigates the feasibility of a general method for optimizing tube current modulation (TCM) functions to minimize risk by reducing radiation dose to radiosensitive organs of patients. Methods: Organ-based TCM has been investigated in literature for eye lens dose and breast dose. Adopting the concept in organ-based TCM, this study seeksmore » to find an optimized tube current for minimal total risk to breasts and lungs by reducing dose to these organs. The contributions of each CT view to organ dose are determined through simulations of CT scan view-by-view using a GPU-based fast Monte Carlo code, ARCHER. A Linear Programming problem is established for tube current optimization, with Monte Carlo results as weighting factors at each view. A pre-determined dose is used as upper dose boundary, and tube current of each view is optimized to minimize the total risk. Results: An optimized tube current is found to minimize the total risk of lungs and breasts: compared to fixed current, the risk is reduced by 13%, with breast dose reduced by 38% and lung dose reduced by 7%. The average tube current is maintained during optimization to maintain image quality. In addition, dose to other organs in chest region is slightly affected, with relative change in dose smaller than 10%. Conclusion: Optimized tube current plans can be generated to minimize cancer risk to lungs and breasts while maintaining image quality. In the future, various risk models and greater number of projections per rotation will be simulated on phantoms of different gender and age. National Institutes of Health R01EB015478.« less

The effect of a multidisciplinary regional educational programme on the quality of colon cancer resection.

PubMed

Sheehan-Dare, G E; Marks, K M; Tinkler-Hundal, E; Ingeholm, P; Bertelsen, C A; Quirke, P; West, N P

2018-02-01

Mesocolic plane surgery with central vascular ligation produces an oncologically superior specimen following colon cancer resection and appears to be related to optimal outcomes. We aimed to assess whether a regional educational programme in optimal mesocolic surgery led to an improvement in the quality of specimens. Following an educational programme in the Capital and Zealand areas of Denmark, 686 cases of primary colon cancer resected across six hospitals were assessed by grading the plane of surgery and undertaking tissue morphometry. These were compared to 263 specimens resected prior to the educational programme. Across the region, the mesocolic plane rate improved from 58% to 77% (P < 0.001). One hospital had previously implemented optimal surgery as standard prior to the educational programme and continued to produce a high rate of mesocolic plane specimens (68%) with a greater distance between the tumour and the high tie (median for all fresh cases: 113 vs 82 mm) and lymph node yield (33 vs 18) compared to the other hospitals. Three of the other hospitals showed a significant improvement in the plane of surgical resection. A multidisciplinary regional educational programme in optimal mesocolic surgery improved the oncological quality of colon cancer specimens as assessed by mesocolic planes; however, there was no significant effect on the amount of tissue resected centrally. Surgeons who attempt central vascular ligation continue to produce more radical specimens suggesting that such educational programmes alone are not sufficient to increase the amount of tissue resected around the tumour. Colorectal Disease © 2017 The Association of Coloproctology of Great Britain and Ireland.

Irreversible electroporation of stage 3 locally advanced pancreatic cancer: optimal technique and outcomes

PubMed Central

2015-01-01

Objective Irreversible electroporation (IRE) of stage 3 pancreatic adenocarcinoma has been used to provide quality of life time in patients who have undergone appropriate induction therapy. The optimal technique has been reported within the literature, but not in video form. IRE of locally advanced pancreatic cancer is technically demanding requiring precision ultrasound use for continuous imaging in multiple needle placements and during IRE energy delivery. Methods Appropriate patients with locally advanced pancreatic cancer should have undergone appropriate induction chemotherapy for a reasonable duration. The safe and effective technique for irreversible electroporation is preformed through an open approach with the emphasis on intra-operative ultrasound and intra-operative electroporation management. Results The technique of open irreversible electroporation of the pancreas involves bracketing the target tumor with IRE probes and any and all invaded vital structures including the celiac axis, superior mesenteric artery (SMA), superior mesenteric-portal vein, and bile duct with continuous intraoperative ultrasound imaging through a caudal to cranial approach. Optimal IRE delivery requires a change in amperage of at least 12 amps from baseline tissue conductivity in order to achieve technical success. Multiple pull-backs are necessary since the IRE ablation probe lengths are 1 cm and thus needed to achieve technical success along the caudal to cranial plane. Conclusions Irreversible electroporation in combination with multi-modality therapy for locally advanced pancreatic carcinoma is feasible for appropriate patients with locally advanced cancer. Technical demands are high and require the highest quality ultrasound for precise spacing measurements and optimal delivery to ensure adequate change in tissue resistance. PMID:29075594

[Ultrasound semiotics in recurrent ovarian cancer after optimal cytoreductive surgery].

PubMed

Baklanova, N S; Kolomiets, L A; Frolova, I G; Viatkina, N V; Krasil'nikov, S É

2014-01-01

Features of ultrasound picture of morphologically verified recurrence of ovarian cancer in 21 patients are presented, who received combined treatment including cytoreductive surgery in the form of hysterectomy with oophorectomy, resection of the greater omentum and 6 courses of chemotherapy CAP for ovarian cancer stage III (FIGO). In all patients cytoreductive surgery was optimal--without residual tumor. Recurrence of the disease was detected in 12-48 months in 80.9% of the cases. Three variants of recurrence was revealed by ultrasonography: isolated peritoneal dissemination, in 14.2% of the cases, which was mainly detected during the first 12 months; single entities in the projection of the small pelvis (61.9%) and mixed form (local lesions of small pelvis and peritoneal dissemination) in 23.8% of the cases.

Lead optimization of N-3-substituted 7-morpholinotriazolopyrimidines as dual phosphoinositide 3-kinase/mammalian target of rapamycin inhibitors: discovery of PKI-402.

PubMed

Dehnhardt, Christoph M; Venkatesan, Aranapakam M; Delos Santos, Efren; Chen, Zecheng; Santos, Osvaldo; Ayral-Kaloustian, Semiramis; Brooijmans, Natasja; Mallon, Robert; Hollander, Irwin; Feldberg, Larry; Lucas, Judy; Chaudhary, Inder; Yu, Ker; Gibbons, Jay; Abraham, Robert; Mansour, Tarek S

2010-01-28

Herein we describe the identification and lead optimization of triazolopyrimidines as a novel class of potent dual PI3K/mTOR inhibitors, resulting in the discovery of 3 (PKI-402). Compound 3 exhibits good physical properties and PK parameters, low nanomolar potency against PI3Kalpha and mTOR, and excellent inhibition of cell proliferation in several human cancer cell lines. Furthermore, in vitro and in vivo biomarker studies demonstrated the ability of 3 to shut down the PI3K/Akt pathway and induce apoptosis in cancer cells. In addition, 3 showed excellent in vivo efficacy in various human cancer xenografts, validating suppression of PI3K/mTOR signaling as a potential anticancer therapy.

Breast Cancer Screening in an Era of Personalized Regimens

PubMed Central

Onega, Tracy; Beaber, Elisabeth F.; Sprague, Brian L.; Barlow, William E.; Haas, Jennifer S.; Tosteson, Anna N.A.; Schnall, Mitchell D.; Armstrong, Katrina; Schapira, Marilyn M.; Geller, Berta; Weaver, Donald L.; Conant, Emily F.

2014-01-01

Breast cancer screening holds a prominent place in public health, health care delivery, policy, and women’s health care decisions. Several factors are driving shifts in how population-based breast cancer screening is approached, including advanced imaging technologies, health system performance measures, health care reform, concern for “overdiagnosis,” and improved understanding of risk. Maximizing benefits while minimizing the harms of screening requires moving from a “1-size-fits-all” guideline paradigm to more personalized strategies. A refined conceptual model for breast cancer screening is needed to align women’s risks and preferences with screening regimens. A conceptual model of personalized breast cancer screening is presented herein that emphasizes key domains and transitions throughout the screening process, as well as multilevel perspectives. The key domains of screening awareness, detection, diagnosis, and treatment and survivorship are conceptualized to function at the level of the patient, provider, facility, health care system, and population/policy arena. Personalized breast cancer screening can be assessed across these domains with both process and outcome measures. Identifying, evaluating, and monitoring process measures in screening is a focus of a National Cancer Institute initiative entitled PROSPR (Population-based Research Optimizing Screening through Personalized Regimens), which will provide generalizable evidence for a risk-based model of breast cancer screening, The model presented builds on prior breast cancer screening models and may serve to identify new measures to optimize benefits-to-harms tradeoffs in population-based screening, which is a timely goal in the era of health care reform. PMID:24830599

Breast health in developing countries.

PubMed

Yip, C H; Taib, N A

2014-12-01

Breast cancer is one of the leading cancers world-wide. While the incidence in developing countries is lower than in developed countries, the mortality is much higher. Of the estimated 1 600 000 new cases of breast cancer globally in 2012, 794 000 were in the more developed world compared to 883 000 in the less developed world; however, there were 198 000 deaths in the more developed world compared to 324 000 in the less developed world (data from Globocan 2012, IARC). Survival from breast cancer depends on two main factors--early detection and optimal treatment. In developing countries, women present with late stages of disease. The barriers to early detection are physical, such as geographical isolation, financial as well as psychosocial, including lack of education, belief in traditional medicine and lack of autonomous decision-making in the male-dominated societies that prevail in the developing world. There are virtually no population-based breast cancer screening programs in developing countries. However, before any screening program can be implemented, there must be facilities to treat the cancers that are detected. Inadequate access to optimal treatment of breast cancer remains a problem. Lack of specialist manpower, facilities and anticancer drugs contribute to the suboptimal care that a woman with breast cancer in a low-income country receives. International groups such as the Breast Health Global Initiative were set up to develop economically feasible, clinical practice guidelines for breast cancer management to improve breast health outcomes in countries with limited resources.

Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions.

PubMed

Sakoda, Lori C; Henderson, Louise M; Caverly, Tanner J; Wernli, Karen J; Katki, Hormuzd A

2017-12-01

Risk prediction models may be useful for facilitating effective and high-quality decision-making at critical steps in the lung cancer screening process. This review provides a current overview of published lung cancer risk prediction models and their applications to lung cancer screening and highlights both challenges and strategies for improving their predictive performance and use in clinical practice. Since the 2011 publication of the National Lung Screening Trial results, numerous prediction models have been proposed to estimate the probability of developing or dying from lung cancer or the probability that a pulmonary nodule is malignant. Respective models appear to exhibit high discriminatory accuracy in identifying individuals at highest risk of lung cancer or differentiating malignant from benign pulmonary nodules. However, validation and critical comparison of the performance of these models in independent populations are limited. Little is also known about the extent to which risk prediction models are being applied in clinical practice and influencing decision-making processes and outcomes related to lung cancer screening. Current evidence is insufficient to determine which lung cancer risk prediction models are most clinically useful and how to best implement their use to optimize screening effectiveness and quality. To address these knowledge gaps, future research should be directed toward validating and enhancing existing risk prediction models for lung cancer and evaluating the application of model-based risk calculators and its corresponding impact on screening processes and outcomes.

Evidence for the use PET for radiation therapy planning in patients with cervical cancer: a systematic review.

PubMed

Salem, A; Salem, A F; Al-Ibraheem, A; Lataifeh, I; Almousa, A; Jaradat, I

2011-01-01

In recent years, the role of positron emission tomography (PET) in the staging and management of gynecological cancers has been increasing. The aim of this study was to systematically review the role of PET in radiotherapy planning and brachytherapy treatment optimization in patients with cervical cancer. Systematic literature review. Systematic review of relevant literature addressing the utilization of PET and/or PET-computed tomography (CT) in external-beam radiotherapy planning and brachytherapy treatment optimization. We performed an extensive PubMed database search on 20 April 2011. Nineteen studies, including 759 patients, formed the basis of this systematic review. PET/ PET-CT is the most sensitive imaging modality for detecting nodal metastases in patients with cervical cancer and has been shown to impact external-beam radiotherapy planning by modifying the treatment field and customizing the radiation dose. This particularly applies to detection of previously uncovered para-aortic and inguinal nodal metastases. Furthermore, PET/ PET-CT guided intensity-modulated radiation therapy (IMRT) allows delivery of higher doses of radiation to the primary tumor, if brachytherapy is unsuitable, and to grossly involved nodal disease while minimizing treatment-related toxicity. PET/ PET-CT based brachytherapy optimization allows improved tumor-volume dose distribution and detailed 3D dosimetric evaluation of risk organs. Sequential PET/ PET-CT imaging performed during the course of brachytherapy form the basis of “adaptive” brachytherapy in cervical cancer. This review demonstrates the effectiveness of pretreatment PET/ PET-CT in cervical cancer patients treated by radiotherapy. Further prospective studies are required to define the group of patients who would benefit the most from this procedure.

Optimal exposure techniques for iodinated contrast enhanced breast CT

NASA Astrophysics Data System (ADS)

Glick, Stephen J.; Makeev, Andrey

2016-03-01

Screening for breast cancer using mammography has been very successful in the effort to reduce breast cancer mortality, and its use has largely resulted in the 30% reduction in breast cancer mortality observed since 1990 [1]. However, diagnostic mammography remains an area of breast imaging that is in great need for improvement. One imaging modality proposed for improving the accuracy of diagnostic workup is iodinated contrast-enhanced breast CT [2]. In this study, a mathematical framework is used to evaluate optimal exposure techniques for contrast-enhanced breast CT. The ideal observer signal-to-noise ratio (i.e., d') figure-of-merit is used to provide a task performance based assessment of optimal acquisition parameters under the assumptions of a linear, shift-invariant imaging system. A parallel-cascade model was used to estimate signal and noise propagation through the detector, and a realistic lesion model with iodine uptake was embedded into a structured breast background. Ideal observer performance was investigated across kVp settings, filter materials, and filter thickness. Results indicated many kVp spectra/filter combinations can improve performance over currently used x-ray spectra.

[Cost-effectiveness of breast cancer screening policies in Mexico].

PubMed

Valencia-Mendoza, Atanacio; Sánchez-González, Gilberto; Bautista-Arredondo, Sergio; Torres-Mejía, Gabriela; Bertozzi, Stefano M

2009-01-01

Generate cost-effectiveness information to allow policy makers optimize breast cancer (BC) policy in Mexico. We constructed a Markov model that incorporates four interrelated processes of the disease: the natural history; detection using mammography; treatment; and other competing-causes mortality, according to which 13 different strategies were modeled. Strategies (starting age, % of coverage, frequency in years)= (48, 25, 2), (40, 50, 2) and (40, 50, 1) constituted the optimal method for expanding the BC program, yielding 75.3, 116.4 and 171.1 thousand pesos per life-year saved, respectively. The strategies included in the optimal method for expanding the program produce a cost per life-year saved of less than two times the GNP per capita and hence are cost-effective according to WHO Commission on Macroeconomics and Health criteria.

Chaotic Particle Swarm Optimization with Mutation for Classification

PubMed Central

Assarzadeh, Zahra; Naghsh-Nilchi, Ahmad Reza

2015-01-01

In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space. The introduced mutation operators and chaotic sequences allows us to overcome the problem of early convergence into a local minima associated with particle swarm optimization algorithms. That is, the mutation operator sharpens the convergence and it tunes the best possible solution. Furthermore, to remove the irrelevant data and reduce the dimensionality of medical datasets, a feature selection approach using binary version of the proposed particle swarm optimization is introduced. In order to demonstrate the effectiveness of our proposed classifier, mutation-based classifier particle swarm optimization, it is checked out with three sets of data classifications namely, Wisconsin diagnostic breast cancer, Wisconsin breast cancer and heart-statlog, with different feature vector dimensions. The proposed algorithm is compared with different classifier algorithms including k-nearest neighbor, as a conventional classifier, particle swarm-classifier, genetic algorithm, and Imperialist competitive algorithm-classifier, as more sophisticated ones. The performance of each classifier was evaluated by calculating the accuracy, sensitivity, specificity and Matthews's correlation coefficient. The experimental results show that the mutation-based classifier particle swarm optimization unequivocally performs better than all the compared algorithms. PMID:25709937

The economics of bladder cancer: costs and considerations of caring for this disease.

PubMed

Svatek, Robert S; Hollenbeck, Brent K; Holmäng, Sten; Lee, Richard; Kim, Simon P; Stenzl, Arnulf; Lotan, Yair

2014-08-01

Due to high recurrence rates, intensive surveillance strategies, and expensive treatment costs, the management of bladder cancer contributes significantly to medical costs. To provide a concise evaluation of contemporary cost-related challenges in the care of patients with bladder cancer. An emphasis is placed on the initial diagnosis of bladder cancer and therapy considerations for both non-muscle-invasive bladder cancer (NMIBC) and more advanced disease. A systematic review of the literature was performed using Medline (1966 to February 2011). Medical Subject Headings (MeSH) terms for search criteria included "bladder cancer, neoplasms" OR "carcinoma, transitional cell" AND all cost-related MeSH search terms. Studies evaluating the costs associated with of various diagnostic or treatment approaches were reviewed. Routine use of perioperative chemotherapy following complete transurethral resection of bladder tumor has been estimated to provide a cost savings. Routine office-based fulguration of small low-grade recurrences could decrease costs. Another potential important target for decreasing variation and cost lies in risk-modified surveillance strategies after initial bladder tumor removal to reduce the cost associated with frequent cystoscopic and radiographic procedures. Optimizing postoperative care after radical cystectomy has the potential to decrease length of stay and perioperative morbidity with substantial decreases in perioperative care expenses. The gemcitabine-cisplatin regimen has been estimated to result in a modest increase in cost effectiveness over methotrexate, vinblastine, doxorubicin, and cisplatin. Additional costs of therapies need to be balanced with effectiveness, and there are significant gaps in knowledge regarding optimal surveillance and treatment of both early and advanced bladder cancer. Regardless of disease severity, improvements in the efficiency of bladder cancer care to limit unnecessary interventions and optimize effective cancer treatment can reduce overall health care costs. Two scenarios where economic and comparative-effectiveness research is limited but would be most beneficial are (1) the management of NMIBC patients where excessive costs are due to vigilant surveillance strategies and (2) in patients with metastatic disease due to the enormous cost associated with late-stage and end-of-life care. Copyright © 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Poster — Thur Eve — 69: Computational Study of DVH-guided Cancer Treatment Planning Optimization Methods

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ghomi, Pooyan Shirvani; Zinchenko, Yuriy

2014-08-15

Purpose: To compare methods to incorporate the Dose Volume Histogram (DVH) curves into the treatment planning optimization. Method: The performance of three methods, namely, the conventional Mixed Integer Programming (MIP) model, a convex moment-based constrained optimization approach, and an unconstrained convex moment-based penalty approach, is compared using anonymized data of a prostate cancer patient. Three plans we generated using the corresponding optimization models. Four Organs at Risk (OARs) and one Tumor were involved in the treatment planning. The OARs and Tumor were discretized into total of 50,221 voxels. The number of beamlets was 943. We used commercially available optimization softwaremore » Gurobi and Matlab to solve the models. Plan comparison was done by recording the model runtime followed by visual inspection of the resulting dose volume histograms. Conclusion: We demonstrate the effectiveness of the moment-based approaches to replicate the set of prescribed DVH curves. The unconstrained convex moment-based penalty approach is concluded to have the greatest potential to reduce the computational effort and holds a promise of substantial computational speed up.« less

Focus on nutrition: antioxidants in cancer treatment: helpful or harmful?

PubMed

Freeman, Lisa M

2009-04-01

Nutrition is an important component of the care of dogs and cats with cancer, and dietary supplement use is common in this patient population. Antioxidants are thought to be among the most commonly used supplements. While antioxidants have potential benefits for cancer patients, they also may have detrimental effects. Therefore, information regarding the overall diet, including dietary supplements, should be collected for every cancer patient and carefully assessed, with specific attention to antioxidants, to identify areas in which the patient's medical care can be optimized.

On the possibility of spectroscopic cancer diagnostics

NASA Astrophysics Data System (ADS)

Khairullina, Alphiya Y.; Oleinik, Tatiana V.; Korolevich, Alexander N.; Sevkovsky, Yacob I.

1993-07-01

The diffuse reflection and transmission coefficients, other optical parameters of normal and cancer tissues have been investigated in visible and infrared spectra. The optimal spectral range for distinguishing the cancer is found. The spectral absorption coefficients and size of cells parameter determined using our approach are analyzed to be different for normal and pathological tissues. The method is proposed for calculating the diffuse reflectance and transmittance of multiple tissue layers. The investigations have shown that cancer may be distinguished under the layers of skin and normal tissue.

Computational nanomedicine: modeling of nanoparticle-mediated hyperthermal cancer therapy

PubMed Central

Kaddi, Chanchala D; Phan, John H; Wang, May D

2016-01-01

Nanoparticle-mediated hyperthermia for cancer therapy is a growing area of cancer nanomedicine because of the potential for localized and targeted destruction of cancer cells. Localized hyperthermal effects are dependent on many factors, including nanoparticle size and shape, excitation wavelength and power, and tissue properties. Computational modeling is an important tool for investigating and optimizing these parameters. In this review, we focus on computational modeling of magnetic and gold nanoparticle-mediated hyperthermia, followed by a discussion of new opportunities and challenges. PMID:23914967

Evolution of Resistance to Targeted Anti-Cancer Therapies during Continuous and Pulsed Administration Strategies

PubMed Central

Foo, Jasmine; Michor, Franziska

2009-01-01

The discovery of small molecules targeted to specific oncogenic pathways has revolutionized anti-cancer therapy. However, such therapy often fails due to the evolution of acquired resistance. One long-standing question in clinical cancer research is the identification of optimum therapeutic administration strategies so that the risk of resistance is minimized. In this paper, we investigate optimal drug dosing schedules to prevent, or at least delay, the emergence of resistance. We design and analyze a stochastic mathematical model describing the evolutionary dynamics of a tumor cell population during therapy. We consider drug resistance emerging due to a single (epi)genetic alteration and calculate the probability of resistance arising during specific dosing strategies. We then optimize treatment protocols such that the risk of resistance is minimal while considering drug toxicity and side effects as constraints. Our methodology can be used to identify optimum drug administration schedules to avoid resistance conferred by one (epi)genetic alteration for any cancer and treatment type. PMID:19893626

Optimization of Dosing for EGFR-Mutant Non–Small Cell Lung Cancer with Evolutionary Cancer Modeling

PubMed Central

Chmielecki, Juliann; Foo, Jasmine; Oxnard, Geoffrey R.; Hutchinson, Katherine; Ohashi, Kadoaki; Somwar, Romel; Wang, Lu; Amato, Katherine R.; Arcila, Maria; Sos, Martin L.; Socci, Nicholas D.; Viale, Agnes; de Stanchina, Elisa; Ginsberg, Michelle S.; Thomas, Roman K.; Kris, Mark G.; Inoue, Akira; Ladanyi, Marc; Miller, Vincent A.; Michor, Franziska; Pao, William

2012-01-01

Non–small cell lung cancers (NSCLCs) that harbor mutations within the epidermal growth factor receptor (EGFR) gene are sensitive to the tyrosine kinase inhibitors (TKIs) gefitinib and erlotinib. Unfortunately, all patients treated with these drugs will acquire resistance, most commonly as a result of a secondary mutation within EGFR (T790M). Because both drugs were developed to target wild-type EGFR, we hypothesized that current dosing schedules were not optimized for mutant EGFR or to prevent resistance. To investigate this further, we developed isogenic TKI-sensitive and TKI-resistant pairs of cell lines that mimic the behavior of human tumors. We determined that the drug-sensitive and drug-resistant EGFR-mutant cells exhibited differential growth kinetics, with the drug-resistant cells showing slower growth. We incorporated these data into evolutionary mathematical cancer models with constraints derived from clinical data sets. This modeling predicted alternative therapeutic strategies that could prolong the clinical benefit of TKIs against EGFR-mutant NSCLCs by delaying the development of resistance. PMID:21734175

Structure-Based Design of Potent Bcl-2/Bcl-xL Inhibitors with Strong in Vivo Antitumor Activity

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhou, Haibin; Aguilar, Angelo; Chen, Jianfang

Bcl-2 and Bcl-xL are key apoptosis regulators and attractive cancer therapeutic targets. We have designed and optimized a class of small-molecule inhibitors of Bcl-2 and Bcl-xL containing a 4,5-diphenyl-1H-pyrrole-3-carboxylic acid core structure. A 1.4 {angstrom} resolution crystal structure of a lead compound, 12, complexed with Bcl-xL has provided a basis for our optimization. The most potent compounds, 14 and 15, bind to Bcl-2 and Bcl-xL with subnanomolar K{sub i} values and are potent antagonists of Bcl-2 and Bcl-xL in functional assays. Compounds 14 and 15 inhibit cell growth with low nanomolar IC{sub 50} values in multiple small-cell lung cancer cellmore » lines and induce robust apoptosis in cancer cells at concentrations as low as 10 nM. Compound 14 also achieves strong antitumor activity in an animal model of human cancer.« less

[Techniques and strategy of pathological sampling in the diagnostic and therapeutic management of lung cancer].

PubMed

Remmelink, M; Sokolow, Y; Leduc, D

2015-04-01

Histopathology is key to the diagnosis and staging of lung cancer. This analysis requires tissue sampling from primary and/or metastatic lesions. The choice of sampling technique is intended to optimize diagnostic yield while avoiding unnecessarily invasive procedures. Recent developments in targeted therapy require increasingly precise histological and molecular characterization of the tumor. Therefore, pathologists must be economical with tissue samples to ensure that they have the opportunity to perform all the analyses required. More than ever, good communication between clinician, endoscopist or surgeon, and pathologist is essential. This is necessary to ensure that all participants in the process of lung cancer diagnosis collaborate to ensure that the appropriate number and type of biopsies are performed with the appropriate tissue sampling treatment. This will allow performance of all the necessary analyses leading to a more precise characterization of the tumor, and thus the optimal treatment for patients with lung cancer. Copyright © 2015 SPLF. Published by Elsevier Masson SAS. All rights reserved.

Perceived Stress in Online Prostate Cancer Community Participants: Examining Relationships with Stigmatization, Social Support Network Preference, and Social Support Seeking.

PubMed

Rising, Camella J; Bol, Nadine; Burke-Garcia, Amelia; Rains, Stephen; Wright, Kevin B

2017-06-01

Men with prostate cancer often need social support to help them cope with illness-related physiological and psychosocial challenges. Whether those needs are met depends on receiving support optimally matched to their needs. This study examined relationships between perceived stress, prostate cancer-related stigma, weak-tie support preference, and online community use for social support in a survey of online prostate cancer community participants (n = 149). Findings revealed a positive relationship between stigma and perceived stress. This relationship, however, was moderated by weak-tie support preference and online community use for social support. Specifically, stigma was positively related to perceived stress when weak-tie support was preferred. Analyses also showed a positive relationship between stigma and perceived stress in those who used their online community for advice or emotional support. Health communication scholars should work collaboratively with diagnosed men, clinicians, and online community administrators to develop online interventions that optimally match social support needs.

Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets.

PubMed

Best, Myron G; Sol, Nik; In 't Veld, Sjors G J G; Vancura, Adrienne; Muller, Mirte; Niemeijer, Anna-Larissa N; Fejes, Aniko V; Tjon Kon Fat, Lee-Ann; Huis In 't Veld, Anna E; Leurs, Cyra; Le Large, Tessa Y; Meijer, Laura L; Kooi, Irsan E; Rustenburg, François; Schellen, Pepijn; Verschueren, Heleen; Post, Edward; Wedekind, Laurine E; Bracht, Jillian; Esenkbrink, Michelle; Wils, Leon; Favaro, Francesca; Schoonhoven, Jilian D; Tannous, Jihane; Meijers-Heijboer, Hanne; Kazemier, Geert; Giovannetti, Elisa; Reijneveld, Jaap C; Idema, Sander; Killestein, Joep; Heger, Michal; de Jager, Saskia C; Urbanus, Rolf T; Hoefer, Imo E; Pasterkamp, Gerard; Mannhalter, Christine; Gomez-Arroyo, Jose; Bogaard, Harm-Jan; Noske, David P; Vandertop, W Peter; van den Broek, Daan; Ylstra, Bauke; Nilsson, R Jonas A; Wesseling, Pieter; Karachaliou, Niki; Rosell, Rafael; Lee-Lewandrowski, Elizabeth; Lewandrowski, Kent B; Tannous, Bakhos A; de Langen, Adrianus J; Smit, Egbert F; van den Heuvel, Michel M; Wurdinger, Thomas

2017-08-14

Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.94; 95% CI, 0.92-0.96; p < 0.001; n = 106 early-stage validation cohort, accuracy, 81%; AUC, 0.89; 95% CI, 0.83-0.95; p < 0.001), independent of age of the individuals, smoking habits, whole-blood storage time, and various inflammatory conditions. PSO enabled selection of gene panels to diagnose cancer from TEPs, suggesting that swarm intelligence may also benefit the optimization of diagnostics readout of other liquid biopsy biosources. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Impact of imaging approach on radiation dose and associated cancer risk in children undergoing cardiac catheterization

PubMed Central

Einstein, Andrew J.; Januzis, Natalie; Nguyen, Giao; Li, Jennifer S.; Fleming, Gregory A.; Yoshizumi, Terry K.

2016-01-01

Objectives To quantify the impact of image optimization on absorbed radiation dose and associated risk in children undergoing cardiac catheterization. Background Various imaging and fluoroscopy system technical parameters including camera magnification, source-to-image distance, collimation, anti-scatter grids, beam quality, and pulse rates, all affect radiation dose but have not been well studied in younger children. Methods We used anthropomorphic phantoms (ages: newborn and 5-years-old) to measure surface radiation exposure from various imaging approaches and estimated absorbed organ doses and effective doses (ED) using Monte Carlo simulations. Models developed in the National Academies’ Biological Effects of Ionizing Radiation VII report were used to compare an imaging protocol optimized for dose reduction versus suboptimal imaging (+20cm source-to-image-distance, +1 magnification setting, no collimation) on lifetime attributable risk (LAR) of cancer. Results For the newborn and 5-year-old phantoms respectively ED changes were as follows: +157% and +232% for an increase from 6-inch to 10-inch camera magnification; +61% and +59% for a 20cm increase in source-to-image-distance; −42% and −48% with addition of 1-inch periphery collimation; −31% and −46% with removal of the anti-scatter grid. Compared to an optimized protocol, suboptimal imaging increased ED by 2.75-fold (newborn) and 4-fold (5-year-old). Estimated cancer LAR from 30-minutes of postero-anterior fluoroscopy using optimized versus sub-optimal imaging respectively was: 0.42% versus 1.23% (newborn female), 0.20% vs 0.53% (newborn male), 0.47% versus 1.70% (5-year-old female) and 0.16% vs 0.69% (5-year-old male). Conclusions Radiation-related risks to children undergoing cardiac catheterization can be substantial but are markedly reduced with an optimized imaging approach. PMID:27315598

In vitro optimization of non-small cell lung cancer activity with troxacitabine, L-1,3-dioxolane-cytidine, prodrugs.

PubMed

Radi, Marco; Adema, Auke D; Daft, Jonathan R; Cho, Jong H; Hoebe, Eveline K; Alexander, Lou-Ella M M; Peters, Godefridus J; Chu, Chung K

2007-05-03

l-1,3-Dioxolane-cytidine, a potent anticancer agent against leukemia, has limited efficacy against solid tumors, perhaps due to its hydrophilicity. Herein, a library of prodrugs were synthesized to optimize in vitro antitumor activity against non-small cell lung cancer. N4-Substituted fatty acid amide prodrugs of 10-16 carbon chain length demonstrated significantly improved antitumor activity over l-1,3-dioxolane-cytidine. These in vitro results suggest that the in vivo therapeutic efficacy of l-1,3-dioxolane-cytidine against solid tumors may be improved with prodrug strategies.

Use of Bayesian Decision Analysis to Minimize Harm in Patient-Centered Randomized Clinical Trials in Oncology.

PubMed

Montazerhodjat, Vahid; Chaudhuri, Shomesh E; Sargent, Daniel J; Lo, Andrew W

2017-09-14

Randomized clinical trials (RCTs) currently apply the same statistical threshold of alpha = 2.5% for controlling for false-positive results or type 1 error, regardless of the burden of disease or patient preferences. Is there an objective and systematic framework for designing RCTs that incorporates these considerations on a case-by-case basis? To apply Bayesian decision analysis (BDA) to cancer therapeutics to choose an alpha and sample size that minimize the potential harm to current and future patients under both null and alternative hypotheses. We used the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) database and data from the 10 clinical trials of the Alliance for Clinical Trials in Oncology. The NCI SEER database was used because it is the most comprehensive cancer database in the United States. The Alliance trial data was used owing to the quality and breadth of data, and because of the expertise in these trials of one of us (D.J.S.). The NCI SEER and Alliance data have already been thoroughly vetted. Computations were replicated independently by 2 coauthors and reviewed by all coauthors. Our prior hypothesis was that an alpha of 2.5% would not minimize the overall expected harm to current and future patients for the most deadly cancers, and that a less conservative alpha may be necessary. Our primary study outcomes involve measuring the potential harm to patients under both null and alternative hypotheses using NCI and Alliance data, and then computing BDA-optimal type 1 error rates and sample sizes for oncology RCTs. We computed BDA-optimal parameters for the 23 most common cancer sites using NCI data, and for the 10 Alliance clinical trials. For RCTs involving therapies for cancers with short survival times, no existing treatments, and low prevalence, the BDA-optimal type 1 error rates were much higher than the traditional 2.5%. For cancers with longer survival times, existing treatments, and high prevalence, the corresponding BDA-optimal error rates were much lower, in some cases even lower than 2.5%. Bayesian decision analysis is a systematic, objective, transparent, and repeatable process for deciding the outcomes of RCTs that explicitly incorporates burden of disease and patient preferences.

Use of Bayesian Decision Analysis to Minimize Harm in Patient-Centered Randomized Clinical Trials in Oncology

PubMed Central

Montazerhodjat, Vahid; Chaudhuri, Shomesh E.; Sargent, Daniel J.

2017-01-01

Importance Randomized clinical trials (RCTs) currently apply the same statistical threshold of alpha = 2.5% for controlling for false-positive results or type 1 error, regardless of the burden of disease or patient preferences. Is there an objective and systematic framework for designing RCTs that incorporates these considerations on a case-by-case basis? Objective To apply Bayesian decision analysis (BDA) to cancer therapeutics to choose an alpha and sample size that minimize the potential harm to current and future patients under both null and alternative hypotheses. Data Sources We used the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) database and data from the 10 clinical trials of the Alliance for Clinical Trials in Oncology. Study Selection The NCI SEER database was used because it is the most comprehensive cancer database in the United States. The Alliance trial data was used owing to the quality and breadth of data, and because of the expertise in these trials of one of us (D.J.S.). Data Extraction and Synthesis The NCI SEER and Alliance data have already been thoroughly vetted. Computations were replicated independently by 2 coauthors and reviewed by all coauthors. Main Outcomes and Measures Our prior hypothesis was that an alpha of 2.5% would not minimize the overall expected harm to current and future patients for the most deadly cancers, and that a less conservative alpha may be necessary. Our primary study outcomes involve measuring the potential harm to patients under both null and alternative hypotheses using NCI and Alliance data, and then computing BDA-optimal type 1 error rates and sample sizes for oncology RCTs. Results We computed BDA-optimal parameters for the 23 most common cancer sites using NCI data, and for the 10 Alliance clinical trials. For RCTs involving therapies for cancers with short survival times, no existing treatments, and low prevalence, the BDA-optimal type 1 error rates were much higher than the traditional 2.5%. For cancers with longer survival times, existing treatments, and high prevalence, the corresponding BDA-optimal error rates were much lower, in some cases even lower than 2.5%. Conclusions and Relevance Bayesian decision analysis is a systematic, objective, transparent, and repeatable process for deciding the outcomes of RCTs that explicitly incorporates burden of disease and patient preferences. PMID:28418507

Breast cancer screening controversies: who, when, why, and how?

PubMed

Chetlen, Alison; Mack, Julie; Chan, Tiffany

2016-01-01

Mammographic screening is effective in reducing mortality from breast cancer. The issue is not whether mammography is effective, but whether the false positive rate and false negative rates can be reduced. This review will discuss controversies including the reduction in breast cancer mortality, overdiagnosis, the ideal screening candidate, and the optimal imaging modality for breast cancer screening. The article will compare and contrast screening mammography, tomosynthesis, whole-breast screening ultrasound, magnetic resonance imaging, and molecular breast imaging. Though supplemental imaging modalities are being utilized to improve breast cancer diagnosis, mammography still remains the gold standard for breast cancer screening. Copyright © 2015 Elsevier Inc. All rights reserved.

Hypermutation In Pancreatic Cancer.

PubMed

Humphris, Jeremy L; Patch, Ann-Marie; Nones, Katia; Bailey, Peter J; Johns, Amber L; McKay, Skye; Chang, David K; Miller, David K; Pajic, Marina; Kassahn, Karin S; Quinn, Michael C J; Bruxner, Timothy J C; Christ, Angelika N; Harliwong, Ivon; Idrisoglu, Senel; Manning, Suzanne; Nourse, Craig; Nourbakhsh, Ehsan; Stone, Andrew; Wilson, Peter J; Anderson, Matthew; Fink, J Lynn; Holmes, Oliver; Kazakoff, Stephen; Leonard, Conrad; Newell, Felicity; Waddell, Nick; Wood, Scott; Mead, Ronald S; Xu, Qinying; Wu, Jianmin; Pinese, Mark; Cowley, Mark J; Jones, Marc D; Nagrial, Adnan M; Chin, Venessa T; Chantrill, Lorraine A; Mawson, Amanda; Chou, Angela; Scarlett, Christopher J; Pinho, Andreia V; Rooman, Ilse; Giry-Laterriere, Marc; Samra, Jaswinder S; Kench, James G; Merrett, Neil D; Toon, Christopher W; Epari, Krishna; Nguyen, Nam Q; Barbour, Andrew; Zeps, Nikolajs; Jamieson, Nigel B; McKay, Colin J; Carter, C Ross; Dickson, Euan J; Graham, Janet S; Duthie, Fraser; Oien, Karin; Hair, Jane; Morton, Jennifer P; Sansom, Owen J; Grützmann, Robert; Hruban, Ralph H; Maitra, Anirban; Iacobuzio-Donahue, Christine A; Schulick, Richard D; Wolfgang, Christopher L; Morgan, Richard A; Lawlor, Rita T; Rusev, Borislav; Corbo, Vincenzo; Salvia, Roberto; Cataldo, Ivana; Tortora, Giampaolo; Tempero, Margaret A; Hofmann, Oliver; Eshleman, James R; Pilarsky, Christian; Scarpa, Aldo; Musgrove, Elizabeth A; Gill, Anthony J; Pearson, John V; Grimmond, Sean M; Waddell, Nicola; Biankin, Andrew V

2017-01-01

Pancreatic cancer is molecularly diverse, with few effective therapies. Increased mutation burden and defective DNA repair are associated with response to immune checkpoint inhibitors in several other cancer types. We interrogated 385 pancreatic cancer genomes to define hypermutation and its causes. Mutational signatures inferring defects in DNA repair were enriched in those with the highest mutation burdens. Mismatch repair deficiency was identified in 1% of tumors harboring different mechanisms of somatic inactivation of MLH1 and MSH2. Defining mutation load in individual pancreatic cancers and the optimal assay for patient selection may inform clinical trial design for immunotherapy in pancreatic cancer. Copyright © 2017 AGA Institute. Published by Elsevier Inc. All rights reserved.

[Interpretation of update on The AJCC Esophageal Cancer Staging System, Eighth Edition].

PubMed

Yuan, Y; Chen, L Q

2017-02-01

The recently published AJCC Esophageal Cancer Staging System, 8(th) Edition will be implemented on Januray 1, 2018, which was developed by Worldwide Esophageal Cancer Collaboration based on 22 654 esophageal cancer patients from 33 worldwide centers. The definition of T, N, M, G stage and regional lymph nodes were optimized in the 8(th) edition. And the new "2 cm" principle has simplified the definition for the cancer of esophagogastric junction. In addition to pathologic staging, the 8(th) edition also provided clinical staging and pathologic staging after neoadjuvant therapy, making the new esophageal cancer staging system more practicable and reasonable.

The management of pain in patients with cancer.

PubMed

Swarm, Robert A

2013-05-01

More than 30% of patients with cancer report chronic pain, which is an indication of both the frequency of cancer-related pain and the failure to optimally manage it. Although access to opioid analgesics has greatly improved over the past 25 years, much remains to be done for patients experiencing severe pain. Opioids are far from ideal analgesics, noted Dr. Robert A. Swarm at the recent NCCN 18th Annual Conference. Universal screening for cancer pain is part of the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Adult Cancer Pain. This is not a one-time effort but should be part of management throughout the cancer care continuum.

Spot-Scanning Proton Arc (SPArc) Therapy: The First Robust and Delivery-Efficient Spot-Scanning Proton Arc Therapy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ding, Xuanfeng, E-mail: Xuanfeng.ding@beaumont.org; Li, Xiaoqiang; Zhang, J. Michele

Purpose: To present a novel robust and delivery-efficient spot-scanning proton arc (SPArc) therapy technique. Methods and Materials: A SPArc optimization algorithm was developed that integrates control point resampling, energy layer redistribution, energy layer filtration, and energy layer resampling. The feasibility of such a technique was evaluated using sample patients: 1 patient with locally advanced head and neck oropharyngeal cancer with bilateral lymph node coverage, and 1 with a nonmobile lung cancer. Plan quality, robustness, and total estimated delivery time were compared with the robust optimized multifield step-and-shoot arc plan without SPArc optimization (Arc{sub multi-field}) and the standard robust optimized intensity modulatedmore » proton therapy (IMPT) plan. Dose-volume histograms of target and organs at risk were analyzed, taking into account the setup and range uncertainties. Total delivery time was calculated on the basis of a 360° gantry room with 1 revolutions per minute gantry rotation speed, 2-millisecond spot switching time, 1-nA beam current, 0.01 minimum spot monitor unit, and energy layer switching time of 0.5 to 4 seconds. Results: The SPArc plan showed potential dosimetric advantages for both clinical sample cases. Compared with IMPT, SPArc delivered 8% and 14% less integral dose for oropharyngeal and lung cancer cases, respectively. Furthermore, evaluating the lung cancer plan compared with IMPT, it was evident that the maximum skin dose, the mean lung dose, and the maximum dose to ribs were reduced by 60%, 15%, and 35%, respectively, whereas the conformity index was improved from 7.6 (IMPT) to 4.0 (SPArc). The total treatment delivery time for lung and oropharyngeal cancer patients was reduced by 55% to 60% and 56% to 67%, respectively, when compared with Arc{sub multi-field} plans. Conclusion: The SPArc plan is the first robust and delivery-efficient proton spot-scanning arc therapy technique, which could potentially be implemented into routine clinical practice.« less

Presentation patterns and outcomes of patients with cancer accessing care in emergency departments in Victoria, Australia.

PubMed

van der Meer, Dania M; Weiland, Tracey J; Philip, Jennifer; Jelinek, George A; Boughey, Mark; Knott, Jonathan; Marck, Claudia H; Weil, Jennifer L; Lane, Heather P; Dowling, Anthony J; Kelly, Anne-Maree

2016-03-01

People with cancer attend emergency departments (EDs) for many reasons. Improved understanding of the specific needs of these patients may assist in optimizing health service delivery. ED presentation and hospital utilization characteristics were explored for people with cancer and compared with those patients without cancer. This descriptive, retrospective, multicentre cohort study used hospital administrative data. Descriptive and inferential statistics were used to summarise and compare ED presentation characteristics amongst cancer and non-cancer groups. Predictive analyses were used to identify ED presentation features predictive of hospital admission for cancer patients. Outcomes of interest were level of acuity, ED and inpatient length of stay, re-presentation rates and admission rates amongst cancer patients and non-cancer patients. ED (529,377) presentations occurred over the 36 months, of which 2.4% (n = 12,489) were cancer-related. Compared with all other attendances, cancer-related attendances had a higher level of acuity, requiring longer management time and length of stay in ED. Re-presentation rates for people with cancer were nearly double those of others (64 vs 33%, p < 0.001), with twice the rate of hospital admission (90 vs 46%, p < 0.001), longer inpatient length of stay (5.6 vs 2.8 days, p < 0.001) and had higher inpatient mortality (7.9 vs 1.0%, p < 0.001). Acuity and arriving by ambulance were significant predictors of hospital admission, with cancer-related attendances having ten times the odds of admission compared to other attendances (OR = 10.4, 95% CI 9.8-11.1). ED presentations by people with cancer represent a more urgent, complex caseload frequently requiring hospital admission when compared to other presentations, suggesting that for optimal cancer care, close collaboration and integration of oncology, palliative care and emergency medicine providers are needed to improve pathways of care.

Prognostic value of total number of lymph nodes retrieved differs between left-sided colon cancer and right-sided colon cancer in stage III patients with colon cancer.

PubMed

Yang, Lin; Xiong, Zhenchong; Xie, Qiankun; He, Wenzhuo; Liu, Shousheng; Kong, Pengfei; Jiang, Chang; Guo, Guifang; Xia, Liangping

2018-05-11

The consensus is that a minimum of 12 lymph nodes should be analyzed at colectomy for colon cancer. However, right colon cancer and left colon cancer have different characteristics, and this threshold value for total number of lymph nodes retrieved may not be universally applicable. The data of 63,243 patients with colon cancer treated between 2004 and 2012 were retrieved from the National Cancer Institute's Surveillance, Epidemiology, and End Results database. Multivariate Cox regression analysis was used to determine the predictive value of total number of lymph nodes for survival after adjusting for lymph nodes ratio. The predictive value in left-sided colon cancer and right-sided colon cancer was compared. The optimal total number of lymph nodes cutoff value for prediction of overall survival was identified using the online tool Cutoff Finder. Survival of patients with high total number of lymph nodes (≥12) and low total number of lymph nodes (< 12) was compared by Kaplan-Meier analysis. After stratifying by lymph nodes ratio status, total number of lymph nodes≥12 remained an independent predictor of survival in the whole cohort and in right-sided colon cancer, but not in left-sided colon cancer. The optimal cutoff value for total number of lymph nodes was determined to be 11. Low total number of lymph nodes (< 11) was associated with significantly poorer survival after adjusting for lymph nodes ratio in all subgroups except in the subgroup with high lymph nodes ratio (0.5-1.0). Previous reports of the prognostic significance of total number of lymph nodes on node-positive colon cancer were confounded by lymph nodes ratio. The 12-node standard for total number of lymph nodes may not be equally applicable in right-sided colon cancer and left-sided colon cancer.

Multidisciplinary lung cancer meetings: improving the practice of radiation oncology and facing future challenges.

PubMed

Campbell, Belinda A; Ball, David; Mornex, Françoise

2015-02-01

Clinical guidelines widely recognize the importance of multidisciplinary meetings (MDM) in the optimal care of lung cancer patients. The published literature suggest that dedicated Lung Cancer MDM lead to increased treatment utilization rates and improved survival outcomes for patients with lung cancer. For radiation oncologists, Lung Cancer MDM have been proven to support evidence-based practice and improve the utilization of radiotherapy. Lung Cancer MDM also allow for education and promotion of specialty radiotherapy services. The fast pace of modern medicine is also presenting new challenges for the multidisciplinary lung cancer team, and technological advances are likely to lead to new changes in the structure of traditional Lung Cancer MDM. © 2015 Asian Pacific Society of Respirology.

Impact of Spot Size and Spacing on the Quality of Robustly Optimized Intensity Modulated Proton Therapy Plans for Lung Cancer.

PubMed

Liu, Chenbin; Schild, Steven E; Chang, Joe Y; Liao, Zhongxing; Korte, Shawn; Shen, Jiajian; Ding, Xiaoning; Hu, Yanle; Kang, Yixiu; Keole, Sameer R; Sio, Terence T; Wong, William W; Sahoo, Narayan; Bues, Martin; Liu, Wei

2018-06-01

To investigate how spot size and spacing affect plan quality, robustness, and interplay effects of robustly optimized intensity modulated proton therapy (IMPT) for lung cancer. Two robustly optimized IMPT plans were created for 10 lung cancer patients: first by a large-spot machine with in-air energy-dependent large spot size at isocenter (σ: 6-15 mm) and spacing (1.3 σ), and second by a small-spot machine with in-air energy-dependent small spot size (σ: 2-6 mm) and spacing (5 mm). Both plans were generated by optimizing radiation dose to internal target volume on averaged 4-dimensional computed tomography scans using an in-house-developed IMPT planning system. The dose-volume histograms band method was used to evaluate plan robustness. Dose evaluation software was developed to model time-dependent spot delivery to incorporate interplay effects with randomized starting phases for each field per fraction. Patient anatomy voxels were mapped phase-to-phase via deformable image registration, and doses were scored using in-house-developed software. Dose-volume histogram indices, including internal target volume dose coverage, homogeneity, and organs at risk (OARs) sparing, were compared using the Wilcoxon signed-rank test. Compared with the large-spot machine, the small-spot machine resulted in significantly lower heart and esophagus mean doses, with comparable target dose coverage, homogeneity, and protection of other OARs. Plan robustness was comparable for targets and most OARs. With interplay effects considered, significantly lower heart and esophagus mean doses with comparable target dose coverage and homogeneity were observed using smaller spots. Robust optimization with a small spot-machine significantly improves heart and esophagus sparing, with comparable plan robustness and interplay effects compared with robust optimization with a large-spot machine. A small-spot machine uses a larger number of spots to cover the same tumors compared with a large-spot machine, which gives the planning system more freedom to compensate for the higher sensitivity to uncertainties and interplay effects for lung cancer treatments. Copyright © 2018 Elsevier Inc. All rights reserved.

Obtaining the Optimal Dose in Alcohol Dependence Studies

PubMed Central

Wages, Nolan A.; Liu, Lei; O’Quigley, John; Johnson, Bankole A.

2012-01-01

In alcohol dependence studies, the treatment effect at different dose levels remains to be ascertained. Establishing this effect would aid us in identifying the best dose that has satisfactory efficacy while minimizing the rate of adverse events. We advocate the use of dose-finding methodology that has been successfully implemented in the cancer and HIV settings to identify the optimal dose in a cost-effective way. Specifically, we describe the continual reassessment method (CRM), an adaptive design proposed for cancer trials to reconcile the needs of dose-finding experiments with the ethical demands of established medical practice. We are applying adaptive designs for identifying the optimal dose of medications for the first time in the context of pharmacotherapy research in alcoholism. We provide an example of a topiramate trial as an illustration of how adaptive designs can be used to locate the optimal dose in alcohol treatment trials. It is believed that the introduction of adaptive design methods will enable the development of medications for the treatment of alcohol dependence to be accelerated. PMID:23189064

Exercise for Breast Cancer Survivors: Research Evidence and Clinical Guidelines.

ERIC Educational Resources Information Center

Courneya, Kerry S.; Mackey, John R.; McKenzie, Donald C.

2002-01-01

Exercise can significantly benefit breast cancer survivors during and after treatment. Moderate intensity aerobic exercise as well as resistance training are important. Psychological health is optimized by enjoyable exercise that develops new skills, incorporates social interaction, and occurs in a stimulating environment. Several conditions…

Clinical trial investigates experimental drug for advanced pancreatic cancer | Center for Cancer Research

Cancer.gov

The pancreas, a large gland that sits behind the stomach, produces enzymes that aid digestion and hormones that regulate blood sugar. Pancreatic cancer develops when cells that make up the ducts in the pancreas start to grow out of control. Udo Rudloff, M.D., is leading a clinical trial of a combination immunotherapy regimen to optimally help the immune system attack the tumor.

CANCER PHARMACOGENOMICS

PubMed Central

Paugh, SW; Stocco, G; McCorkle, JR; Diouf, B; Crews, KR; Evans, WE

2013-01-01

Pharmacogenomics research is yielding molecular diagnostic tools that can be used to optimize the selection of medications and their doses for individual patients. Given the narrow therapeutic index of most anticancer agents and the serious consequences of undertreatment, cancer chemotherapy is a compelling therapeutic area for translation of pharmacogenomics to the clinic. This review addresses how inherited (germline) and acquired (somatic) sources of genome variability can alter the toxicity or efficacy of cancer chemotherapy. PMID:21796115

Solution formulation development and efficacy of MJC13 in a preclinical model of castration-resistant prostate cancer.

PubMed

Liang, Su; Bian, Xiaomei; Liang, Dong; Sivils, Jeffrey C; Neckers, Leonard M; Cox, Marc B; Xie, Huan

2016-01-01

MJC13, a novel FKBP52 targeting agent, has potential use for the treatment of castration-resistant prostate cancer. The purpose of this work was to develop a solution formulation of MJC13, and obtain its efficacy profile in a human prostate cancer xenograft mouse model. Preformulation studies were conducted to evaluate the physicochemical properties. Co-solvent systems were evaluated for aqueous solubility and tolerance. A human prostate cancer xenograft mouse model was established by growing 22Rv1 prostate cancer cells in C.B-17 SCID mice. The optimal formulation was used to study the efficacy of MJC13 in this preclinical model of castrate-resistant prostate cancer. We found that MJC13 was stable (at least for 1 month), highly lipophilic (logP = 6.49), poorly soluble in water (0.28 µg/mL), and highly plasma protein bound (>98%). The optimal formulation consisting of PEG 400 and Tween 80 (1:1, v/v) allowed us to achieve a MJC13 concentration of 7.5 mg/mL, and tolerated an aqueous environment. After twice weekly intratumoral injection with 10 mg/kg MJC13 in this formulation for four consecutive weeks, tumor volumes were significantly reduced compared to vehicle-treated controls.

Assessing Self-Efficacy for Coping with Cancer: Development and Psychometric Analysis of the Brief Version of the Cancer Behavior Inventory (CBI-B)

PubMed Central

Heitzmann, Carolyn A.; Merluzzi, Thomas V.; Jean-Pierre, Pascal; Roscoe, Joseph A.; Kirsh, Kenneth L.; Passik, Steven D.

2010-01-01

Introduction The Cancer Behavior Inventory-Brief Version (CBI-B), a 12-item measure of self-efficacy for coping with cancer derived from the longer 33-item version (CBI-L), was subjected to psychometric analysis. Method Participants consisted of three samples: 735 cancer patients from a multi-center CCOP study, 199 from central Indiana, and 370 from a national sample. Samples were mixed with respect to initial cancer diagnosis. Participants completed the CBI-B and measures of quality of life, optimism, life satisfaction, depression, and sickness impact. Results EFA with oblique rotation yielded four factors in the first sample: 1) Maintaining Independence and Positive Attitude; 2) Participating in Medical Care; 3) Coping and Stress Management; and 4) Managing Affect, which were confirmed in subsequent samples. Cronbach α coefficient for the 12-item CBI-B ranged from .84 to .88. Validity of the CBI-B was demonstrated by positive correlations with measures of quality of life and optimism and negative correlations with measures of depression and sickness impact. Discussion The CBI-B is a valid brief measure of self-efficacy for coping that could be easily integrated into clinical oncology research and practice and also be used in screening patients. PMID:11351373

Deploying Team Science Principles to Optimize Interdisciplinary Lung Cancer Care Delivery: Avoiding the Long and Winding Road to Optimal Care.

PubMed

Osarogiagbon, Raymond U; Rodriguez, Hector P; Hicks, Danielle; Signore, Raymond S; Roark, Kristi; Kedia, Satish K; Ward, Kenneth D; Lathan, Christopher; Santarella, Scott; Gould, Michael K; Krasna, Mark J

2016-11-01

The complexity of lung cancer care mandates interaction between clinicians with different skill sets and practice cultures in the routine delivery of care. Using team science principles and a case-based approach, we exemplify the need for the development of real care teams for patients with lung cancer to foster coordination among the multiple specialists and staff engaged in routine care delivery. Achieving coordinated lung cancer care is a high-priority public health challenge because of the volume of patients, lethality of disease, and well-described disparities in quality and outcomes of care. Coordinating mechanisms need to be cultivated among different types of specialist physicians and care teams, with differing technical expertise and practice cultures, who have traditionally functioned more as coactively working groups than as real teams. Coordinating mechanisms, including shared mental models, high-quality communication, mutual trust, and mutual performance monitoring, highlight the challenge of achieving well-coordinated care and illustrate how team science principles can be used to improve quality and outcomes of lung cancer care. To develop the evidence base to support coordinated lung cancer care, research comparing the effectiveness of a diverse range of multidisciplinary care team approaches and interorganizational coordinating mechanisms should be promoted.

Assessment of Ovarian Cancer Tumors Treated with Intraperitoneal Cisplatin Therapy by Nanoscopic X-ray Fluorescence Imaging

NASA Astrophysics Data System (ADS)

Laforce, Brecht; Carlier, Charlotte; Vekemans, Bart; Villanova, Julie; Tucoulou, Rémi; Ceelen, Wim; Vincze, Laszlo

2016-07-01

Ovarian cancer is amongst the most common types of cancer in women, with a relatively low overall cure rate of approximately 30%. This is therefore an important incentive to urge for further research in order to maximize the chances of survival for these patients. Intraperitoneal chemotherapy with Cisplatin is an effective treatement for ovarian cancer; however, many questions still remain concerning the ideal treatment protocol and tumor resistance towards the drug, which should be resolved for optimal application of this therapy. For the first time in-vivo grown tumors treated with both hyper- and normothermic intraperitoneal chemotherapy have been studied using nano-XRF spectroscopy to examine the platinum (Pt) distribution within the analyzed tissues. These measurements prove Pt resides predominantly outsides the cancer cells in the stroma of the tissue. These findings indicate the resistance mechanism of the cancer cells prevents Cisplatin from diffusing through their cell membranes. This is an important addition to the existing knowledge on the resistance mechanism providing insights which might help to overcome this effect. In our aim to find the optimal treatment protocol, no significant differences were found between the two examined procedures. A more extensive data set will be needed to draw definite conclusions.

Anti-cancer efficacy of biotinylated chitosan nanoparticles in liver cancer

PubMed Central

Dai, Dejian; Hou, Yiming

2017-01-01

The present study investigated the synthesis of biotinylated chitosan (Bio-CS) from chitosan using a nanomaterial skeleton with biotin and the successful targeting of the formulation in liver cancer cells. Bio-CS was validated by fourier transformed infrared spectroscopy and hydrogen-1 nuclear magnetic resonance spectroscopy. Bio-CS and plasmid DNA were used to construct Bio-CS/plasmid DNA nanoparticles according to the optimal molar ratio of 1:1 and the optimal pH-value of 5.5. Under these conditions, the parameters mean particle size, potential, encapsulation rate and drug loading, were 82.9 nm, +21.8 mV, 85.7% and 35.4%, respectively. Bio-CS exhibited an apparent liver cancer targeting effect in vitro and in vivo, as demonstrated by confocal laser scanning, green fluorescent protein transfection, and in vivo imaging assays. In addition, the Bio-CS/plasmid DNA nanoparticles significantly increased the survival period of the orthotropic liver cancer mouse model compared with the plasmid DNA, with no apparent side effects on the cells. Bio-CS nanomaterials stimulated an immune response in hepatoma cells via increased expression of GM-CSF, IL-21 and Rae-1 markers. The data suggest that Bio-CS increased the inhibition of liver cancer cell proliferation in vitro and the activation of the cellular immunity in vivo. PMID:28938619

Solution Formulation Development and Efficacy of MJC13 in a Preclinical Model of Castrate-Resistant Prostate Cancer

PubMed Central

Liang, Su; Bian, Xiaomei; Liang, Dong; Sivils, Jeffrey C.; Neckers, Leonard M.; Cox, Marc B.; Xie, Huan

2015-01-01

MJC13, a novel FKBP52 targeting agent, has potential use for the treatment of castrate-resistant prostate cancer. The purpose of this work was to develop a solution formulation of MJC13, and obtain its efficacy profile in a human prostate cancer xenograft mouse model. Preformulation studies were conducted to evaluate the physicochemical properties. Co-solvent systems were evaluated for aqueous solubility and tolerance. A human prostate cancer xenograft mouse model was established by growing 22Rv1 prostate cancer cells in C.B-17 SCID mice. The optimal formulation was used to study the efficacy of MJC13 in this preclinical model of castrate-resistant prostate cancer. We found that MJC13 was stable (at least for 1 month), very lipophilic (logP = 6.49), poorly soluble in water (0.28 μg/mL), and highly plasma protein bound (> 98%). The optimal formulation consisting of PEG 400 and Tween 80 (1:1, v/v) allowed us to achieve a MJC13 concentration of 7.5 mg/mL, and tolerated an aqueous environment. After twice weekly intratumoral injection with 10 mg/kg MJC13 in this formulation for 4 consecutive weeks, tumor volumes were significantly reduced compared to vehicle-treated controls. PMID:25380396

Efficacy and toxicity of external-beam radiation therapy for localised prostate cancer: a network meta-analysis

PubMed Central

Zhu, Z; Zhang, J; Liu, Y; Chen, M; Guo, P; Li, K

2014-01-01

Background: Many radiation regimens for treating prostate cancer have been used over the years, but which regimen is optimal for localised or locally advanced prostate cancer lacks consensus. We performed a network meta-analysis to identify the optimal radiation regimen. Methods: We systematically reviewed data from 27 randomised controlled trials and could group seven radiation regimens as follows: low- and high-dose radiation therapy (LDRT and HDRT), LDRT+ short- or long-term androgen deprivation therapy (LDRT+SADT and LDRT+LADT), HDRT+SADT, hypofractionated radiotherapy (HFRT), and HFRT+SADT. The main outcomes were overall mortality (OM), prostate-specific antigen (PSA) failure, cancer-specific mortality, and adverse events. Results: For the network meta-analysis of 27 trials, LDRT+LADT and LDRT+SADT were associated with decreased risk of OM as compared with LDRT alone as was LDRT+LADT compared with HDRT. Apart from HFRT, all other treatments were associated with decreased risk of PSA failure as compared with LDRT. HFRT+SADT was associated with decreased risk of cancer-specific mortality as compared with HFRT, LDRT+SADT, HDRT, and LDRT. Conclusions: HFRT+SADT therapy might be the most efficacious treatment but with worst toxicity for localised or locally advanced prostate cancer, and HDRT showed excellent efficacy but more adverse events. PMID:24736585

Behavioral economics: "nudging" underserved populations to be screened for cancer.

PubMed

Purnell, Jason Q; Thompson, Tess; Kreuter, Matthew W; McBride, Timothy D

2015-01-15

Persistent disparities in cancer screening by race/ethnicity and socioeconomic status require innovative prevention tools and techniques. Behavioral economics provides tools to potentially reduce disparities by informing strategies and systems to increase prevention of breast, cervical, and colorectal cancers. With an emphasis on the predictable, but sometimes flawed, mental shortcuts (heuristics) people use to make decisions, behavioral economics offers insights that practitioners can use to enhance evidence-based cancer screening interventions that rely on judgments about the probability of developing and detecting cancer, decisions about competing screening options, and the optimal presentation of complex choices (choice architecture). In the area of judgment, we describe ways practitioners can use the availability and representativeness of heuristics and the tendency toward unrealistic optimism to increase perceptions of risk and highlight benefits of screening. We describe how several behavioral economic principles involved in decision-making can influence screening attitudes, including how framing and context effects can be manipulated to highlight personally salient features of cancer screening tests. Finally, we offer suggestions about ways practitioners can apply principles related to choice architecture to health care systems in which cancer screening takes place. These recommendations include the use of incentives to increase screening, introduction of default options, appropriate feedback throughout the decision-making and behavior completion process, and clear presentation of complex choices, particularly in the context of colorectal cancer screening. We conclude by noting gaps in knowledge and propose future research questions to guide this promising area of research and practice.

Behavioral Economics: “Nudging” Underserved Populations to Be Screened for Cancer

PubMed Central

Thompson, Tess; Kreuter, Matthew W.; McBride, Timothy D.

2015-01-01

Persistent disparities in cancer screening by race/ethnicity and socioeconomic status require innovative prevention tools and techniques. Behavioral economics provides tools to potentially reduce disparities by informing strategies and systems to increase prevention of breast, cervical, and colorectal cancers. With an emphasis on the predictable, but sometimes flawed, mental shortcuts (heuristics) people use to make decisions, behavioral economics offers insights that practitioners can use to enhance evidence-based cancer screening interventions that rely on judgments about the probability of developing and detecting cancer, decisions about competing screening options, and the optimal presentation of complex choices (choice architecture). In the area of judgment, we describe ways practitioners can use the availability and representativeness of heuristics and the tendency toward unrealistic optimism to increase perceptions of risk and highlight benefits of screening. We describe how several behavioral economic principles involved in decision-making can influence screening attitudes, including how framing and context effects can be manipulated to highlight personally salient features of cancer screening tests. Finally, we offer suggestions about ways practitioners can apply principles related to choice architecture to health care systems in which cancer screening takes place. These recommendations include the use of incentives to increase screening, introduction of default options, appropriate feedback throughout the decision-making and behavior completion process, and clear presentation of complex choices, particularly in the context of colorectal cancer screening. We conclude by noting gaps in knowledge and propose future research questions to guide this promising area of research and practice. PMID:25590600

An Official American Thoracic Society/European Respiratory Society Statement: The Role of the Pulmonologist in the Diagnosis and Management of Lung Cancer

PubMed Central

Gaga, Mina; Powell, Charles A.; Schraufnagel, Dean E.; Schönfeld, Nicolas; Rabe, Klaus; Hill, Nicholas S.; Sculier, Jean-Paul

2013-01-01

Background: Lung cancer is a common problem seen by pulmonologists. The American Thoracic Society (ATS) and European Respiratory Society (ERS) are professional organizations whose memberships are composed of large numbers of pulmonologists. Purpose: This document describes the key role of pulmonologists in the prevention, early diagnosis, and management of lung cancer. Methods: A committee of ATS and ERS leaders and their oncology groups discussed the activities of pulmonologists in relation to lung cancer in various settings and reviewed available literature on the topic. The content of this statement was approved by the board of directors of both the ATS and ERS. Results: Optimal lung cancer care requires a multidisciplinary team of specialists who care for a significant number of patients on a regular basis. Pulmonologists are responsible for and involved with patients from their initial diagnosis and staging through treatment and restaging. They are often involved with complications, palliative care, and end-of-life care, and thus have an important role in team leadership. Conclusions: Lung cancer is a disease with high mortality, profound effects on the quality of the lives of patients and their families, and an enormous cost and impact on society. To treat lung cancer optimally, care must be prompt, multidisciplinary, and patient-centered. In the entire process, pulmonologists have a key role. Pulmonologists and their professional societies should also enhance lung cancer research and education to provide better treatment options and patient care. PMID:23947517

[Optimization of diagnosis indicator selection and inspection plan by 3.0T MRI in breast cancer].

PubMed

Jiang, Zhongbiao; Wang, Yunhua; He, Zhong; Zhang, Lejun; Zheng, Kai

2013-08-01

To optimize 3.0T MRI diagnosis indicator in breast cancer and to select the best MRI scan program. Totally 45 patients with breast cancers were collected, and another 35 patients with benign breast tumor served as the control group. All patients underwent 3.0T MRI, including T1- weighted imaging (T1WI), fat suppression of the T2-weighted imaging (T2WI), diffusion weighted imaging (DWI), 1H magnetic resonance spectroscopy (1H-MRS) and dynamic contrast enhanced (DCE) sequence. With operation pathology results as the gold standard in the diagnosis of breast diseases, the pathological results of benign and malignant served as dependent variables, and the diagnostic indicators of MRI were taken as independent variables. We put all the indicators of MRI examination under Logistic regression analysis, established the Logistic model, and optimized the diagnosis indicators of MRI examination to further improve MRI scan of breast cancer. By Logistic regression analysis, some indicators were selected in the equation, including the edge feature of the tumor, the time-signal intensity curve (TIC) type and the apparent diffusion coefficient (ADC) value when b=500 s/mm2. The regression equation was Logit (P)=-21.936+20.478X6+3.267X7+ 21.488X3. Valuable indicators in the diagnosis of breast cancer are the edge feature of the tumor, the TIC type and the ADC value when b=500 s/mm2. Combining conventional MRI scan, DWI and dynamic enhanced MRI is a better examination program, while MRS is the complementary program when diagnosis is difficult.

Rigorous optimization and validation of potent RNA CAR T cell therapy for the treatment of common epithelial cancers expressing folate receptor

PubMed Central

Schutsky, Keith; Song, De-Gang; Lynn, Rachel; Smith, Jenessa B.; Poussin, Mathilde; Figini, Mariangela; Zhao, Yangbing; Powell, Daniel J.

2015-01-01

Using lentiviral technology, we recently demonstrated that incorporation of CD27 costimulation into CARs greatly improves antitumor activity and T cell persistence. Still, virus-mediated gene transfer is expensive, laborious and enables long-term persistence, creating therapies which cannot be easily discontinued if toxic. To address these concerns, we utilized a non-integrating RNA platform to engineer human T cells to express FRα-specific, CD27 CARs and tested their capacity to eliminate human FRα+ cancer. Novel CARs comprised of human components were constructed, C4-27z and C4opt-27z, a codon-optimized variant created for efficient expression. Following RNA electroporation, C4-27z and C4opt-27z CAR expression is initially ubiquitous but progressively declines across T cell populations. In addition, C4-27z and C4opt-27z RNA CAR T cells secrete high levels of Th-1 cytokines and display strong cytolytic function against human FRα+ cancers in a time- and antigen-dependent manner. Further, C4-27z and C4opt-27z CAR T cells exhibit significant proliferation in vivo, facilitate the complete regression of fully disseminated human ovarian cancer xenografts in mice and reduce the progression of solid ovarian cancer. These results advocate for rapid progression of C4opt-27z RNA CAR to the clinic and establish a new paradigm for preclinical optimization and validation of RNA CAR candidates destined for clinical translation. PMID:26359629

Optimizing Tumor Microenvironment for Cancer Immunotherapy: β-Glucan-Based Nanoparticles

PubMed Central

Zhang, Mei; Kim, Julian A.; Huang, Alex Yee-Chen

2018-01-01

Immunotherapy is revolutionizing cancer treatment. Recent clinical success with immune checkpoint inhibitors, chimeric antigen receptor T-cell therapy, and adoptive immune cellular therapies has generated excitement and new hopes for patients and investigators. However, clinically efficacious responses to cancer immunotherapy occur only in a minority of patients. One reason is the tumor microenvironment (TME), which potently inhibits the generation and delivery of optimal antitumor immune responses. As our understanding of TME continues to grow, strategies are being developed to change the TME toward one that augments the emergence of strong antitumor immunity. These strategies include eliminating tumor bulk to provoke the release of tumor antigens, using adjuvants to enhance antigen-presenting cell function, and employ agents that enhance immune cell effector activity. This article reviews the development of β-glucan and β-glucan-based nanoparticles as immune modulators of TME, as well as their potential benefit and future therapeutic applications. Cell-wall β-glucans from natural sources including plant, fungi, and bacteria are molecules that adopt pathogen-associated molecular pattern (PAMP) known to target specific receptors on immune cell subsets. Emerging data suggest that the TME can be actively manipulated by β-glucans and their related nanoparticles. In this review, we discuss the mechanisms of conditioning TME using β-glucan and β-glucan-based nanoparticles, and how this strategy enables future design of optimal combination cancer immunotherapies. PMID:29535722

A Scientific Rationale to Improve Resistance Training Prescription in Exercise Oncology.

PubMed

Fairman, Ciaran M; Zourdos, Michael C; Helms, Eric R; Focht, Brian C

2017-08-01

To date, the prevailing evidence in the field of exercise oncology supports the safety and efficacy of resistance training to attenuate many oncology treatment-related adverse effects, such as risk for cardiovascular disease, increased fatigue, and diminished physical functioning and quality of life. Moreover, findings in the extant literature supporting the benefits of exercise for survivors of and patients with cancer have resulted in the release of exercise guidelines from several international agencies. However, despite research progression and international recognition, current exercise oncology-based exercise prescriptions remain relatively basic and underdeveloped, particularly in regards to resistance training. Recent publications have called for a more precise manipulation of training variables such as volume, intensity, and frequency (i.e., periodization), given the large heterogeneity of a cancer population, to truly optimize clinically relevant patient-reported outcomes. Indeed, increased attention to integrating fundamental principles of exercise physiology into the exercise prescription process could optimize the safety and efficacy of resistance training during cancer care. The purpose of this article is to give an overview of the current state of resistance training prescription and discuss novel methods that can contribute to improving approaches to exercise prescription. We hope this article may facilitate further evaluation of best practice regarding resistance training prescription, monitoring, and modification to ultimately optimize the efficacy of integrating resistance training as a supportive care intervention for survivors or and patients with cancer.

Immuno Nanoparticles Integrated Electrical Control of Targeted Cancer Cell Development Using Whole Cell Bioelectronic Device

PubMed Central

Hondroulis, Evangelia; Zhang, Rui; Zhang, Chengxiao; Chen, Chunying; Ino, Kosuke; Matsue, Tomokazu; Li, Chen-Zhong

2014-01-01

Electrical properties of cells determine most of the cellular functions, particularly ones which occur in the cell's membrane. Manipulation of these electrical properties may provide a powerful electrotherapy option for the treatment of cancer as cancerous cells have been shown to be more electronegative than normal proliferating cells. Previously, we used an electrical impedance sensing system (EIS) to explore the responses of cancerous SKOV3 cells and normal HUVEC cells to low intensity (<2 V/cm) AC electric fields, determining that the optimal frequency for SKOV3 proliferation arrest was 200 kHz, without harming the non-cancerous HUVECs. In this study, to determine if these effects are cell type dependant, human breast adenocarcinoma cells (MCF7) were subjected to a range of frequencies (50 kHz-2 MHz) similar to the previously tested SKOV3. For the MCF7, an optimal frequency of 100 kHz was determined using the EIS, indicating a higher sensitivity towards the applied field. Further experiments specifically targeting the two types of cancer cells using HER2 antibody functionalized gold nanoparticles (HER2-AuNPs) were performed to determine if enhanced electric field strength can be induced via the application of nanoparticles, consequently leading to the killing of the cancerous cells without affecting non cancerous HUVECs and MCF10a providing a platform for the development of a non-invasive cancer treatment without any harmful side effects. The EIS was used to monitor the real-time consequences on cellular viability and a noticeable decrease in the growth profile of the MCF7 was observed with the application of the HER2-AuNPs and the electric fields indicating specific inhibitory effects on dividing cells in culture. To further understand the effects of the externally applied field to the cells, an Annexin V/EthD-III assay was performed to determine the cell death mechanism indicating apoptosis. The zeta potential of the SKOV3 and the MCF7 before and after incorporation of the HER2-AuNPs was also obtained indicating a decrease in zeta potential with the incorporation of the nanoparticles. The outcome of this research will improve our fundamental understanding of the behavior of cancer cells and define optimal parameters of electrotherapy for clinical and drug delivery applications. PMID:25057316

Treatment-related Cardiovascular Late-effects and Exercise Training Countermeasures in Testicular Germ Cell Cancer Survivorship

PubMed Central

Christensen, Jesper F; Bandak, Mikkel; Campbell, Anna; Jones, Lee W.; Højman, Pernille

2016-01-01

Background Treatment of testicular germ cell cancer constitutes a major success story in modern oncology. Today, the vast majority of patients are cured by a therapeutic strategy using one or more highly effective components including surgery (orchiectomy), radiotherapy and/or chemotherapy. However, the excellent cancer specific survival comes at considerable costs, as individuals with a history of germ cell cancer experience serious long-term complications, including markedly increased risk of cardiovascular morbidities and premature cardiovascular death. The factors responsible, as well as their mode of action, are not fully understood and there is a lack of knowledge concerning optimal evidence-based long-term follow-up strategies. Results Here, we present the growing body of evidence suggesting that germ cell cancer patients as a consequence of the different treatment components, are subjected to toxicities, which individually, and synergistically, can cause physiological impairments leading to sub-clinical or clinical cardiovascular disorders the ‘multiple-hit hypothesis’). Furthermore, we discuss the efficacy and utility of structured exercise training to ameliorate treatment-induced cardiovascular dysfunction to prevent premature onset of clinical cardiovascular disease in germ cell cancer survivors, with a view towards highlighting future directions of exercise-based survivorship research in the germ cell cancer setting. Conclusion Since exercise training may have the potential to ameliorate and/or reverse long-term cardiovascular disease sequelae in germ cell cancer survivors, a strong rationale exists for the promotion of exercise-oncology research in this setting, in order to provide exercise-recommendations for optimal germ cell cancer survivorship. PMID:25751759

The role of general psychosocial factors for the use of cancer screening-Findings of a population-based observational study among older adults in Germany.

PubMed

Hajek, André; Bock, Jens-Oliver; König, Hans-Helmut

2017-12-01

Within the framework of the health-belief model, some studies exist investigating the association between illness-specific psychosocial factors and the use of cancer screenings. However, studies investigating the association between general psychosocial factors and the use of cancer screenings are missing. Thus, this study aimed at examining the association between well-established general psychosocial factors and the use of cancer screenings. Data were gathered from a large, population-based sample of community-dwelling individuals aged 40 and above in Germany (n = 7673; in 2014). Loneliness, cognitive well-being, affective well-being (negative and positive affect), optimism, self-efficacy, self-esteem, self-regulation, perceived autonomy, perceived stress, and perceived social exclusion were used as general psychosocial factors. Furthermore, individuals were asked whether they regularly underwent early cancer screening in the past years (yes; no). A total of 65.6% of the individuals used cancer screening. Adjusting for sociodemographic factors, self-rated health, morbidity and lifestyle factors, multiple logistic regressions revealed that the use of cancer screening is positively associated with decreased loneliness, cognitive well-being, optimism, self-efficacy, self-esteem, self-regulation, perceived autonomy, decreased perceived stress, decreased perceived social exclusion, and positive affect, while it is not associated with negative affect. This study stresses the strong association between general psychosocial factors and the use of cancer screening. This knowledge might be fruitful to address individuals at risk for underuse. © 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Treatment-related cardiovascular late effects and exercise training countermeasures in testicular germ cell cancer survivorship.

PubMed

Christensen, Jesper F; Bandak, Mikkel; Campbell, Anna; Jones, Lee W; Højman, Pernille

2015-05-01

Treatment of testicular germ cell cancer constitutes a major success story in modern oncology. Today, the vast majority of patients are cured by a therapeutic strategy using one or more highly effective components including surgery (orchiectomy), radiotherapy and/or chemotherapy. However, the excellent cancer-specific survival comes at considerable costs, as individuals with a history of germ cell cancer experience serious long-term complications, including markedly increased risk of cardiovascular morbidities and premature cardiovascular death. The factors responsible, as well as their mode of action, are not fully understood and there is a lack of knowledge concerning optimal evidence-based long-term follow-up strategies. Here, we present the growing body of evidence suggesting that germ cell cancer patients as a consequence of the different treatment components, are subjected to toxicities, which individually, and synergistically, can cause physiological impairments leading to sub-clinical or clinical cardiovascular disorders (i.e. the 'multiple-hit hypothesis'). Furthermore, we discuss the efficacy and utility of structured exercise training to ameliorate treatment-induced cardiovascular dysfunction to prevent premature onset of clinical cardiovascular disease in germ cell cancer survivors, with a view towards highlighting future directions of exercise-based survivorship research in the germ cell cancer setting. As exercise training may have the potential to ameliorate and/or reverse long-term cardiovascular disease sequelae in germ cell cancer survivors, a strong rationale exists for the promotion of exercise oncology research in this setting, in order to provide exercise recommendations for optimal germ cell cancer survivorship.

Unifying Screening Processes Within the PROSPR Consortium: A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening

PubMed Central

Kim, Jane J.; Schapira, Marilyn M.; Tosteson, Anna N. A.; Zauber, Ann G.; Geiger, Ann M.; Kamineni, Aruna; Weaver, Donald L.; Tiro, Jasmin A.

2015-01-01

General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. We present a trans-organ conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based on clinical guidelines and protocols; the model concepts could be expanded to other organ sites. The model covers four types of care in the screening process: risk assessment, detection, diagnosis, and treatment. Interfaces between different provider teams (eg, primary care and specialty care), including communication and transfer of responsibility, may occur when transitioning between types of care. Our model highlights across each organ site similarities and differences in steps, interfaces, and transitions in the screening process and documents the conclusion of a screening episode. This model was developed within the National Cancer Institute–funded consortium Population-based Research Optimizing Screening through Personalized Regimens (PROSPR). PROSPR aims to optimize the screening process for breast, cervical, and colorectal cancer and includes seven research centers and a statistical coordinating center. Given current health care reform initiatives in the United States, this conceptual model can facilitate the development of comprehensive quality metrics for cancer screening and promote trans-organ comparative cancer screening research. PROSPR findings will support the design of interventions that improve screening outcomes across multiple cancer sites. PMID:25957378

Optimizing the design and in vitro evaluation of bioreactive glucose oxidase-microspheres for enhanced cytotoxicity against multidrug resistant breast cancer cells.

PubMed

Cheng, Ji; Liu, Qun; Shuhendler, Adam J; Rauth, Andrew M; Wu, Xiao Yu

2015-06-01

Glucose oxidase (GOX) encapsulated in alginate-chitosan microspheres (GOX-MS) was shown in our previous work to produce reactive oxygen species (ROS) in situ and exhibit anticancer effects in vitro and in vivo. The purpose of present work was to optimize the design and thus enhance the efficacy of GOX-MS against multidrug resistant (MDR) cancer cells. GOX-MS with different mean diameters of 4, 20 or 140 μm were prepared using an emulsification-internal gelation-adsorption-chitosan coating method with varying compositions and conditions. The GOX loading efficiency, loading level, relative bioactivity of GOX-MS, and GOX leakage were determined and optimal chitosan concentrations in the coating solution were identified. The influence of particle size on cellular uptake, ROS generation, cytotoxicity and their underlying mechanisms was investigated. At the same GOX dose and incubation time, smaller sized GOX-MS produced larger amounts of H2O2 in cell culture medium and greater cytotoxicity toward murine breast cancer MDR (EMT6/AR1.0) and wild type (EMT6/WT) cells. Fluorescence and confocal laser scanning microscopy revealed significant uptake of small sized (4 μm) GOX-MS by both MDR and WT cells, but no cellular uptake of large (140 μm) GOX-MS. The GOX-MS were equally effective in killing both MDR cells and WT cells. The cytotoxicity of the GOX formulations was positively correlated with membrane damage and lipid peroxidation. GOX-MS induced greater membrane damage and lipid peroxidation in MDR cells than the WT cells. These results suggest that the optimized, small micron-sized GOX-MS are highly effective against MDR breast cancer cells. Copyright © 2015 Elsevier B.V. All rights reserved.

Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation

NASA Astrophysics Data System (ADS)

Jalalimanesh, Ammar; Haghighi, Hamidreza Shahabi; Ahmadi, Abbas; Hejazian, Hossein; Soltani, Madjid

2017-09-01

Radiotherapy (RT) is among the regular techniques for the treatment of cancerous tumours. Many of cancer patients are treated by this manner. Treatment planning is the most important phase in RT and it plays a key role in therapy quality achievement. As the goal of RT is to irradiate the tumour with adequately high levels of radiation while sparing neighbouring healthy tissues as much as possible, it is a multi-objective problem naturally. In this study, we propose an agent-based model of vascular tumour growth and also effects of RT. Next, we use multi-objective distributed Q-learning algorithm to find Pareto-optimal solutions for calculating RT dynamic dose. We consider multiple objectives and each group of optimizer agents attempt to optimise one of them, iteratively. At the end of each iteration, agents compromise the solutions to shape the Pareto-front of multi-objective problem. We propose a new approach by defining three schemes of treatment planning created based on different combinations of our objectives namely invasive, conservative and moderate. In invasive scheme, we enforce killing cancer cells and pay less attention about irradiation effects on normal cells. In conservative scheme, we take more care of normal cells and try to destroy cancer cells in a less stressed manner. The moderate scheme stands in between. For implementation, each of these schemes is handled by one agent in MDQ-learning algorithm and the Pareto optimal solutions are discovered by the collaboration of agents. By applying this methodology, we could reach Pareto treatment plans through building different scenarios of tumour growth and RT. The proposed multi-objective optimisation algorithm generates robust solutions and finds the best treatment plan for different conditions.

Optimizing Treatment of Lung Cancer Patients with Comorbidities

DTIC Science & Technology

2017-10-01

of treatment options, comorbid illness, age, sex , histology, and tumor size. We will simulate base case scenarios for stage I NSCLC for all possible...fitting adjusted logistic regression models controlling for age, sex and cancer stage. Results Overall, 5,644 (80.4%) and 1,377 (19.6%) patients

[Exposure to CT scans in childhood and long-term cancer risk: A review of epidemiological studies].

PubMed

Baysson, Hélène; Journy, Neige; Roué, Tristan; Ducou-Lepointe, Hubert; Etard, Cécile; Bernier, Marie-Odile

2016-02-01

Amongst medical exams requiring ionizing radiation, computed tomography (CT) scans are used more frequently, including in children. These CT examinations are associated with absorbed doses that are much higher than those associated with conventional radiology. In comparison to adults, children have a greater sensitivity to radiation and a longer life span with more years at cancer risks. Five epidemiological studies on cancer risks after CT scan exposure during childhood were published between 2012 and 2015. The results of these studies are consistent and show an increase of cancer risks in children who have been exposed to several CT scans. However, methodological limits due to indication bias, retrospective assessment of radiation exposure from CT scans and lack of statistical power are to be taken into consideration. International projects such as EPI-CT (Epidemiological study to quantify risks for pediatric computerized tomography and to optimize dose), with a focus on dosimetric reconstruction and minimization of bias will provide more precise results. In the meantime, available results reinforce the necessity of justification and optimization of doses. Copyright © 2015 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

Optimizing Quality of Life in Patients with Hormone Receptor-Positive Metastatic Breast Cancer: Treatment Options and Considerations.

PubMed

Chalasani, Pavani

2017-01-01

The treatment landscape for hormone receptor-positive metastatic breast cancer continues to evolve as the molecular mechanisms of this heterogeneous disease are better understood and targeted treatment strategies are developed. Patients are now living for extended periods of time with this disease as they progress through sequential lines of treatment. With a rapidly expanding therapeutic armamentarium, the prevalence of metastatic breast cancer patients with prolonged survival is expected to increase, as is the duration of survival. Practice guidelines recommend endocrine therapy alone as first-line therapy for the majority of patients with metastatic hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer. The approval of new agents and expanded combination options has extended their use beyond first line, but endocrine therapy is not used as widely in clinical practice as recommended. As all treatments are palliative, even as survival is prolonged, optimizing and maintaining patient quality of life is crucial. This article surveys data relevant to the use of endocrine therapy in the setting of hormone receptor-positive metastatic breast cancer, including key clinical evidence regarding approved therapies and the impact of these therapies on patient quality of life. © 2017 S. Karger AG, Basel.

Optimization of genetics to create therapies for metastatic (stage IV) non-small-cell lung cancer.

PubMed

Rosell, Rafael; Moran, Teresa; Viteri, Santiago; Carcereny, Enric; Gasco, Amaya; Quiroga, Vanessa; Wei, Jia; Camps, Carlos; Massuti, Bartomeu

2010-07-01

Non-small-cell lung cancer (NSCLC) is a disseminated disease in 50% of cases, with a gloomy prognosis and median survivals of < 1 year. Based on substantial advances, cancer biology insights and novel biotechnology tools, customized treatment provides hints that cisplatin-based treatment can be optimized in favorable subgroups of patients according to gene expression DNA repair profiles. In 2004, it was discovered that 10-15% of NSCLC can harbor a new class of EGFR mutation conferring specific sensitivity to EGFR tyrosine kinase inhibitors. The homologous recombination pathway provides information for customizing cisplatin-based chemotherapy. BRCA1 plays a central role in this pathway that can be used in tailoring chemotherapy. Patient subgroups can obtain significant increases in progression-free survival. For EGFR lung-addicted cancers, treatment with EGFR tyrosine kinase inhibitors like erlotinib provide impressive improvement in progression-free survival--up to 14 months with significant enhanced survival. Customized chemotherapy based on BRCA1 models can contribute to demonstrating this approach's clinical relevance, and the implementation of EGFR mutation assessment is warranted to identify EGFR-addicted lung cancers with a different prognosis that could benefit from a specifically targeted therapy approach.

Pharmacogenetics and breast cancer management: current status and perspectives.

PubMed

Ciccolini, Joseph; Fanciullino, Raphaelle; Serdjebi, Cindy; Milano, Gérard

2015-05-01

Breast cancer has benefited from a number of innovative therapeutics over the last decade. Cytotoxics, hormone therapy, targeted therapies and biologics can now be given to ensure optimal management of patients. As life expectancy of breast cancer patients has been significantly stretched and that several lines of treatment are now made available, determining the best drug or drug combinations to be primarily given and the best dosing and scheduling for each patient is critical for ensuring an optimal toxicity/efficacy balance. Defining patient's characteristics at the tumor level (pharmacogenomics) and the constitutional level (pharmacogenetics) is a rising trend in oncology. This review covers the latest strategies based upon the search of relevant biomarkers for efficacy, resistance and toxicity to be undertaken at the bedside to shift towards precision medicine in breast cancer patients. In the expanding era of bioguided medicine, identifying relevant and clinically validated biomarkers from the plethora of published material remains an uneasy task. Sorting the variety of genetic and molecular markers that have been investigated over the last decade on their level of evidence and addressing the issue of drug exposure should help to improve the management of breast cancer therapy.

Position paper on management of iron deficiency in adult cancer patients.

PubMed

Barni, Sandro; Gascòn, Pere; Petrelli, Fausto; García-Erce, José Antonio; Pedrazzoli, Paolo; Rosti, Giovanni; Giordano, Giulio; Mafodda, Antonio; Múñoz, Manuel

2017-08-01

Disorders of iron metabolism are commonly seen in onco-hematological clinical practice. Iron-deficiency anemia and cancer-associated anemia are usually treated with supportive therapies. Optimal management of these conditions are discussed in this perspective paper. Areas covered: A position paper discussing a number of hot topics on anemia in cancer patients is presented. The main areas covered by experts in the field are: definitions, prevalence and consequences of anemia and iron deficiency, incidence of anemia resulting from targeted therapies, importance of anemia diagnosis and monitoring, evaluation of iron status before and during treatment, role of transfusions and erythropoiesis-stimulating agents, management of iron deficiency with or without anemia, parenteral iron supplementation, role of new oral iron formulations, safety and cost issues regarding different iron compounds and administration routes. Expert commentary: Despite the availability of newer therapeutic options for its management, anemia still represents a major complication of treatment in cancer patients (surgery, chemotherapy, radiotherapy, targeted therapies), aggravating physical impairment, and negatively affecting general outcome. The view expressed by the panelists, attendees of the 4th Mediterranean Course on Iron Anemia, summarizes what they consider optimal clinical practice for screening, diagnosis, treatment and monitoring of iron deficiency and anemia in cancer patients.

Breast cancer prevention strategies in lobular carcinoma in situ: A decision analysis.

PubMed

Wong, Stephanie M; Stout, Natasha K; Punglia, Rinaa S; Prakash, Ipshita; Sagara, Yasuaki; Golshan, Mehra

2017-07-15

Women diagnosed with lobular carcinoma in situ (LCIS) have a 3-fold to 10-fold increased risk of developing invasive breast cancer. The objective of this study was to evaluate the life expectancy (LE) and differences in survival offered by active surveillance, risk-reducing chemoprevention, and bilateral prophylactic mastectomy among women with LCIS. A Markov simulation model was constructed to determine average LE and quality-adjusted LE (QALE) gains for hypothetical cohorts of women diagnosed with LCIS at various ages under alternative risk-reduction strategies. Probabilities for invasive breast cancer, breast cancer-specific mortality, other-cause mortality and the effectiveness of preventive strategies were derived from published studies and from the National Cancer Institute's Surveillance, Epidemiology, and End Results database. Assuming a breast cancer incidence from 1.02% to 1.37% per year under active surveillance, a woman aged 50 years diagnosed with LCIS would have a total LE of 32.78 years and would gain 0.13 years (1.6 months) in LE by adding chemoprevention and 0.25 years (3.0 months) in LE by adding bilateral prophylactic mastectomy. After quality adjustment, chemoprevention resulted in the greatest QALE for women ages 40 to 60 years at LCIS diagnosis, whereas surveillance remained the preferred strategy for optimizing QALE among women diagnosed at age 65 years and older. In this model, among women with a diagnosis of LCIS, breast cancer prevention strategies only modestly affected overall survival, whereas chemoprevention was modeled as the preferred management strategy for optimizing invasive disease-free survival while prolonging QALE form women younger than 65 years. Cancer 2017;123:2609-17. © 2017 American Cancer Society. © 2017 American Cancer Society.

High hydrostatic pressure affects antigenic pool in tumor cells: Implication for dendritic cell-based cancer immunotherapy.

PubMed

Urbanova, Linda; Hradilova, Nada; Moserova, Irena; Vosahlikova, Sarka; Sadilkova, Lenka; Hensler, Michal; Spisek, Radek; Adkins, Irena

2017-07-01

High hydrostatic pressure (HHP) can be used to generate dendritic cell (DC)-based active immunotherapy for prostate, lung and ovarian cancer. We showed here that HHP treatment of selected human cancer cell lines leads to a degradation of tumor antigens which depends on the magnitude of HHP applied and on the cancer cell line origin. Whereas prostate or ovarian cell lines displayed little protein antigen degradation with HHP treatment up to 300MPa after 2h, tumor antigens are hardly detected in lung cancer cell line after treatment with HHP 250MPa at the same time. On the other hand, quick reduction of tumor antigen-coding mRNA was observed at HHP 200MPa immediately after treatment in all cell lines tested. To optimize the DC-based active cellular therapy protocol for HHP-sensitive cell lines the immunogenicity of HHP-treated lung cancer cells at 150, 200 and 250MPa was compared. Lung cancer cells treated with HHP 150MPa display characteristics of immunogenic cell death, however cells are not efficiently phagocytosed by DC. Despite induction of the highest number of antigen-specific CD8 + T cells, 150 MPa-treated lung cancer cells survive in high numbers. This excludes their use in DC vaccine manufacturing. HHP of 200MPa treatment of lung cancer cells ensures the optimal ratio of efficient immunogenic killing and delivery of protein antigens in DC. These results represent an important pre-clinical data for generation of immunogenic killed lung cancer cells in ongoing NSCLC Phase I/II clinical trial using DC-based active cellular immunotherapy (DCVAC/LuCa). Copyright © 2017 European Federation of Immunological Societies. Published by Elsevier B.V. All rights reserved.

Updates on esophageal and gastric cancers.

PubMed

Gallo, Amy; Cha, Charles

2006-05-28

Esophageal and gastric cancers are both common and deadly. Patients present most often after disease progression and survival is therefore poor. Due to demographic variability and recent changes in disease incidence, much emphasis has been placed on studying risk factors for both esophageal and gastric cancers. However, with increasing understanding of these diseases, low survival rates persist and continued intensive studies are necessary to optimize treatment plans. This review article discusses updates in the evolving epidemiology, clinical presentation, risk factors, and diagnostic and treatment modalities of esophageal and gastric cancers.

Immunotherapy for Ovarian Cancer: What's Next?

PubMed Central

Kandalaft, Lana E.; Powell, Daniel J.; Singh, Nathan; Coukos, George

2011-01-01

In the past decade, we have witnessed important gains in the treatment of ovarian cancer; however, additional advances are required to reduce mortality. With compelling evidence that ovarian cancers are immunogenic tumors, immunotherapy should be further pursued and optimized. The dramatic advances in laboratory and clinical procedures in cellular immunotherapy, along with the development of powerful immunomodulatory antibodies, create new opportunities in ovarian cancer therapeutics. Herein, we review current progress and future prospects in vaccine and adoptive T-cell therapy development as well as immunomodulatory therapy tools available for immediate clinical testing. PMID:21079136

[Genetic diagnostics of cancer diseases].

PubMed

Cobilanschi, Joana

2013-11-27

Cancer is caused by genetic alterations, but only 10% of the cancer diseases are inherited. The probability for an individual or a family of having inherited cancer, individual consequences of the respective results of genetic testing, as well as its costs and reimbursement by the health insurance must be addressed by expert genetic counseling which at-risk requires special expertise. Identification of a germline mutation which may predispose to a variety of different cancer types allows determination of an individual's specific life time risk in symptomatic as well as in a-symptomatic family members. Identification of the underlying defective gene in heritable cancer disorders also enables optimized preventive and novel therapeutic approaches specifically targeting the underlying molecular pathomechanisms.

Development of a Novel, Non-Invasive Diagnostic Test for Prostate Cancer

DTIC Science & Technology

2006-01-01

Chang JJ, Bhargava V , Shinohara K. The optimal systematic prostate biopsy scheme should include 8 rather than 6 biopsies: results of a prospective...sextant and laterally directed biopsies for the detection of prostate cancer. J Urol, 2001, 165:1554-9. 19. Djavan B, Ravery V , Zlotta A, Dobronski P...Smith-Jones PM, Navarro V , Goldsmith SJ, Bander NH. Radioimmunotherapy of prostate cancer in human xenografts using monoclonal antibodies specific to

Available Resources | Division of Cancer Prevention

Cancer.gov

Preclinical pharmacology and efficacy studies Identification and evaluation of intermediate biomarkers Formulation optimization for enhanced bioavailability and clinical usefulness Analytical method development for investigational agents in bulk form and in biological fluids and tissues PK and PK-PD modeling to optimize dosing regimen Scale-up non-cGMP and cGMP production of

Identification of a selective small molecule inhibitor of breast cancer stem cells.

PubMed

Germain, Andrew R; Carmody, Leigh C; Morgan, Barbara; Fernandez, Cristina; Forbeck, Erin; Lewis, Timothy A; Nag, Partha P; Ting, Amal; VerPlank, Lynn; Feng, Yuxiong; Perez, Jose R; Dandapani, Sivaraman; Palmer, Michelle; Lander, Eric S; Gupta, Piyush B; Schreiber, Stuart L; Munoz, Benito

2012-05-15

A high-throughput screen (HTS) with the National Institute of Health-Molecular Libraries Small Molecule Repository (NIH-MLSMR) compound collection identified a class of acyl hydrazones to be selectively lethal to breast cancer stem cell (CSC) enriched populations. Medicinal chemistry efforts were undertaken to optimize potency and selectivity of this class of compounds. The optimized compound was declared as a probe (ML239) with the NIH Molecular Libraries Program and displayed greater than 20-fold selective inhibition of the breast CSC-like cell line (HMLE_sh_Ecad) over the isogenic control line (HMLE_sh_GFP). Copyright © 2012 Elsevier Ltd. All rights reserved.

Thyroid Radiofrequency Ablation: Updates on Innovative Devices and Techniques

PubMed Central

Park, Hye Sun; Park, Auh Whan; Chung, Sae Rom; Choi, Young Jun; Lee, Jeong Hyun

2017-01-01

Radiofrequency ablation (RFA) is a well-known, effective, and safe method for treating benign thyroid nodules and recurrent thyroid cancers. Thyroid-dedicated devices and basic techniques for thyroid RFA were introduced by the Korean Society of Thyroid Radiology (KSThR) in 2012. Thyroid RFA has now been adopted worldwide, with subsequent advances in devices and techniques. To optimize the treatment efficacy and patient safety, understanding the basic and advanced RFA techniques and selecting the optimal treatment strategy are critical. The goal of this review is to therefore provide updates and analysis of current devices and advanced techniques for RFA treatment of benign thyroid nodules and recurrent thyroid cancers. PMID:28670156

HBC-Evo: predicting human breast cancer by exploiting amino acid sequence-based feature spaces and evolutionary ensemble system.

PubMed

Majid, Abdul; Ali, Safdar

2015-01-01

We developed genetic programming (GP)-based evolutionary ensemble system for the early diagnosis, prognosis and prediction of human breast cancer. This system has effectively exploited the diversity in feature and decision spaces. First, individual learners are trained in different feature spaces using physicochemical properties of protein amino acids. Their predictions are then stacked to develop the best solution during GP evolution process. Finally, results for HBC-Evo system are obtained with optimal threshold, which is computed using particle swarm optimization. Our novel approach has demonstrated promising results compared to state of the art approaches.

Optimization of a gene electrotransfer procedure for efficient intradermal immunization with an hTERT-based DNA vaccine in mice

PubMed Central

Calvet, Christophe Y; Thalmensi, Jessie; Liard, Christelle; Pliquet, Elodie; Bestetti, Thomas; Huet, Thierry; Langlade-Demoyen, Pierre; Mir, Lluis M

2014-01-01

DNA vaccination consists in administering an antigen-encoding plasmid in order to trigger a specific immune response. This specific vaccine strategy is of particular interest to fight against various infectious diseases and cancer. Gene electrotransfer is the most efficient and safest non-viral gene transfer procedure and specific electrical parameters have been developed for several target tissues. Here, a gene electrotransfer protocol into the skin has been optimized in mice for efficient intradermal immunization against the well-known telomerase tumor antigen. First, the luciferase reporter gene was used to evaluate gene electrotransfer efficiency into the skin as a function of the electrical parameters and electrodes, either non-invasive or invasive. In a second time, these parameters were tested for their potency to generate specific cellular CD8 immune responses against telomerase epitopes. These CD8 T-cells were fully functional as they secreted IFNγ and were endowed with specific cytotoxic activity towards target cells. This simple and optimized procedure for efficient gene electrotransfer into the skin using the telomerase antigen is to be used in cancer patients for the phase 1 clinical evaluation of a therapeutic cancer DNA vaccine called INVAC-1. PMID:26015983

A challenge for theranostics: is the optimal particle for therapy also optimal for diagnostics?

NASA Astrophysics Data System (ADS)

Dreifuss, Tamar; Betzer, Oshra; Shilo, Malka; Popovtzer, Aron; Motiei, Menachem; Popovtzer, Rachela

2015-09-01

Theranostics is defined as the combination of therapeutic and diagnostic capabilities in the same agent. Nanotechnology is emerging as an efficient platform for theranostics, since nanoparticle-based contrast agents are powerful tools for enhancing in vivo imaging, while therapeutic nanoparticles may overcome several limitations of conventional drug delivery systems. Theranostic nanoparticles have drawn particular interest in cancer treatment, as they offer significant advantages over both common imaging contrast agents and chemotherapeutic drugs. However, the development of platforms for theranostic applications raises critical questions; is the optimal particle for therapy also the optimal particle for diagnostics? Are the specific characteristics needed to optimize diagnostic imaging parallel to those required for treatment applications? This issue is examined in the present study, by investigating the effect of the gold nanoparticle (GNP) size on tumor uptake and tumor imaging. A series of anti-epidermal growth factor receptor conjugated GNPs of different sizes (diameter range: 20-120 nm) was synthesized, and then their uptake by human squamous cell carcinoma head and neck cancer cells, in vitro and in vivo, as well as their tumor visualization capabilities were evaluated using CT. The results showed that the size of the nanoparticle plays an instrumental role in determining its potential activity in vivo. Interestingly, we found that although the highest tumor uptake was obtained with 20 nm C225-GNPs, the highest contrast enhancement in the tumor was obtained with 50 nm C225-GNPs, thus leading to the conclusion that the optimal particle size for drug delivery is not necessarily optimal for imaging. These findings stress the importance of the investigation and design of optimal nanoparticles for theranostic applications.Theranostics is defined as the combination of therapeutic and diagnostic capabilities in the same agent. Nanotechnology is emerging as an efficient platform for theranostics, since nanoparticle-based contrast agents are powerful tools for enhancing in vivo imaging, while therapeutic nanoparticles may overcome several limitations of conventional drug delivery systems. Theranostic nanoparticles have drawn particular interest in cancer treatment, as they offer significant advantages over both common imaging contrast agents and chemotherapeutic drugs. However, the development of platforms for theranostic applications raises critical questions; is the optimal particle for therapy also the optimal particle for diagnostics? Are the specific characteristics needed to optimize diagnostic imaging parallel to those required for treatment applications? This issue is examined in the present study, by investigating the effect of the gold nanoparticle (GNP) size on tumor uptake and tumor imaging. A series of anti-epidermal growth factor receptor conjugated GNPs of different sizes (diameter range: 20-120 nm) was synthesized, and then their uptake by human squamous cell carcinoma head and neck cancer cells, in vitro and in vivo, as well as their tumor visualization capabilities were evaluated using CT. The results showed that the size of the nanoparticle plays an instrumental role in determining its potential activity in vivo. Interestingly, we found that although the highest tumor uptake was obtained with 20 nm C225-GNPs, the highest contrast enhancement in the tumor was obtained with 50 nm C225-GNPs, thus leading to the conclusion that the optimal particle size for drug delivery is not necessarily optimal for imaging. These findings stress the importance of the investigation and design of optimal nanoparticles for theranostic applications. Electronic supplementary information (ESI) available. See DOI: 10.1039/c5nr03119b

Korean Guidelines for Colorectal Cancer Screening and Polyp Detection

PubMed Central

Lee, Bo-In; Hong, Sung Pil; Kim, Seong-Eun; Kim, Se Hyung; Hong, Sung Noh; Yang, Dong-Hoon; Shin, Sung Jae; Lee, Suck-Ho; Park, Dong Il; Kim, Young-Ho; Kim, Hyun Jung; Yang, Suk-Kyun; Kim, Hyo Jong; Jeon, Hae Jeong

2012-01-01

Now colorectal cancer is the second most common cancer in males and the fourth most common cancer in females in Korea. Since most of colorectal cancers occur after the prolonged transformation of adenomas into carcinomas, early detection and removal of colorectal adenomas are one of the most effective methods to prevent colorectal cancer. Considering the increasing incidence of colorectal cancer and polyps in Korea, it is very important to establish Korean guideline for colorectal cancer screening and polyp detection. The guideline was developed by the Korean Multi-Society Take Force and we tried to establish the guideline by evidence-based methods. Parts of the statements were draw by systematic reviews and meta-analyses. Herein we discussed epidemiology of colorectal cancers and adenomas in Korea and optimal methods for screening of colorectal cancer and detection of adenomas including fecal occult blood tests, radiologic tests, and endoscopic examinations. PMID:22741131

Optimizing Social Network Support to Families Living With Parental Cancer: Research Protocol for the Cancer-PEPSONE Study.

PubMed

Hauken, May Aasebø; Senneseth, Mette; Dyregrov, Atle; Dyregrov, Kari

2015-12-30

Parental cancer can have a significant impact on a family's psychosocial functioning and quality of life, whereby the children's situation is strongly related to parental coping and capacity. Such parents ask for more help in order to increase their care capacity, while the network is often insecure about how to help and thereby withdraw. They ask for guidance and training to be able to support cancer families. Based on this, the Cancer- Psycho-Educational Program for the SOcial NEtwork (PEPSONE) study was developed. To optimize social network support through a psycho-educational program for families living with parental cancer and their network members in order to increase parental capacity and thereby secure the children's safety and quality of life. A randomized controlled trial (RCT) in which families (N=60) living with parental cancer will be randomized to either an intervention group or a control group. The intervention will last for 3 hours and includes (1) introduction, (2) psycho-education (living with cancer in the family and the importance of social network support), and (3) discussion (this family's need for social support). Primary outcomes are social support, mental health, and quality of life, and secondary outcomes are resilience and parental capacity. Data will be collected by a set of questionnaires distributed to healthy parents (N=60) living with a partner with cancer, one child in the family between 8-18 years of age (N=60), and network members (N=210) of the intervention families at inclusion, and after 3 and 6 months. Comparing differences between the intervention group (n=30) and the control group (n=30), the power analysis shows that P<.05 and a statistical power = .80 would detect effect sizes of clinical interest. This paper presents the Cancer-PEPSON study's protocol to provide a broader understanding of the background and content of the program. The study is ongoing until August 2016 and the first results are anticipated to be finished by November 2015. To our knowledge, this will be the first RCT study to optimize social network support through a psycho-educational program for families living with parental cancer and their network members, as well as provide an evidence basis for social network support. The results may provide important knowledge that is useful for clinical practice and further research. The trial is reported according to the CONSORT checklist. International Standard Randomized Controlled Trial Number (ISRCTN): 15982171; http://www.controlled-trials.com/ISRCTN15982171/15982171 (Archived by WebCite at http://www.webcitation.org/6cg9zunS0).

Advances in the Management of Gastric and Gastroesophageal Cancers.

PubMed

Kamran, Sophia C; Hong, Theodore S; Wo, Jennifer Y

2016-02-01

Management of gastric and gastroesophageal cancers is a complex, evolving paradigm. Involvement of multimodality specialties is the key. In gastric cancer, data are conflicting with regard to the specific roles of surgery, chemotherapy, and radiation, particularly between Asian and Western studies. However, current ongoing phase III trials will further elucidate the optimal treatment for this heterogeneous disease. For resectable gastroesophageal junction (GEJ) tumors, the publication of a landmark study in 2012 out of the Netherlands revealed a clear benefit in the utilization of trimodality therapy. This changed practice almost immediately around the world. In unresectable gastroesophageal disease, chemoradiation has been firmly established as a paradigm for treatment. The optimal chemotherapy regimen is still in flux. However, for both gastric and GEJ tumors, technological breakthroughs in genomics and pharmacologic targeting will soon provide physicians more options in the armamentarium to fight these diseases and, one day, individually personalize treatment.

Fragment growing and linking lead to novel nanomolar lactate dehydrogenase inhibitors.

PubMed

Kohlmann, Anna; Zech, Stephan G; Li, Feng; Zhou, Tianjun; Squillace, Rachel M; Commodore, Lois; Greenfield, Matthew T; Lu, Xiaohui; Miller, David P; Huang, Wei-Sheng; Qi, Jiwei; Thomas, R Mathew; Wang, Yihan; Zhang, Sen; Dodd, Rory; Liu, Shuangying; Xu, Rongsong; Xu, Yongjin; Miret, Juan J; Rivera, Victor; Clackson, Tim; Shakespeare, William C; Zhu, Xiaotian; Dalgarno, David C

2013-02-14

Lactate dehydrogenase A (LDH-A) catalyzes the interconversion of lactate and pyruvate in the glycolysis pathway. Cancer cells rely heavily on glycolysis instead of oxidative phosphorylation to generate ATP, a phenomenon known as the Warburg effect. The inhibition of LDH-A by small molecules is therefore of interest for potential cancer treatments. We describe the identification and optimization of LDH-A inhibitors by fragment-based drug discovery. We applied ligand based NMR screening to identify low affinity fragments binding to LDH-A. The dissociation constants (K(d)) and enzyme inhibition (IC(50)) of fragment hits were measured by surface plasmon resonance (SPR) and enzyme assays, respectively. The binding modes of selected fragments were investigated by X-ray crystallography. Fragment growing and linking, followed by chemical optimization, resulted in nanomolar LDH-A inhibitors that demonstrated stoichiometric binding to LDH-A. Selected molecules inhibited lactate production in cells, suggesting target-specific inhibition in cancer cell lines.

Supportive care for children with cancer. Guidelines of the Childrens Cancer Study Group. The use of nutritional therapy.

PubMed

Lukens, J N

1984-01-01

Nutritional support for children with cancer is predicated on the belief that optimal nutrition promotes tolerance of anti-neoplastic therapy and preserves immunologic responsiveness. The use of nutritional support is based on the assumption that there is effective therapy for the primary disease and that there will be a predictable period of nutritional stress. The most common nutritional problem is posed by the failure of sick children willingly to eat enough to maintain nutritional homeostasis. Supplementation of oral intake with a nutritional formula given by a small-bore nasogastric tube is simple, effective, and economical. If the sum of oral and tolerated nasogastric tube feedings is less than that required for optimal nutrition, unmet needs may be satisfied by nutrients given into a peripheral vein. Total parenteral nutrition, given by central vein, is reserved for situations in which the combination of enteral and peripheral venous alimentation is inadequate.

Quantitative multimodality imaging in cancer research and therapy.

PubMed

Yankeelov, Thomas E; Abramson, Richard G; Quarles, C Chad

2014-11-01

Advances in hardware and software have enabled the realization of clinically feasible, quantitative multimodality imaging of tissue pathophysiology. Earlier efforts relating to multimodality imaging of cancer have focused on the integration of anatomical and functional characteristics, such as PET-CT and single-photon emission CT (SPECT-CT), whereas more-recent advances and applications have involved the integration of multiple quantitative, functional measurements (for example, multiple PET tracers, varied MRI contrast mechanisms, and PET-MRI), thereby providing a more-comprehensive characterization of the tumour phenotype. The enormous amount of complementary quantitative data generated by such studies is beginning to offer unique insights into opportunities to optimize care for individual patients. Although important technical optimization and improved biological interpretation of multimodality imaging findings are needed, this approach can already be applied informatively in clinical trials of cancer therapeutics using existing tools. These concepts are discussed herein.

[Clinical guidelines for diagnosis, treatment and monitoring of patients with non-invasive breast cancer].

PubMed

Brnijć, Zoran; Brkljacić, Boris; Drinković, Ivan; Jakić-Razumović, Jasminka; Kardum-Skelin, Ika; Krajina, Zdenko; Margaritoni, Marko; Strnad, Marija; Sarcević, Bozena; Tomić, Snjezana; Zic, Rado

2012-01-01

Breast cancer is the most common malignancy in women. Early diagnosis and more effective treatment of invasive breast cancer resulted in significant mortality reduction, improvement of survival and the quality of life of the patients. The management od non-invasive breast cancer, on the contrary, is still controversial and the problem of overdiagnosis and overtreatment of patients come to evidence. In the following text a multidisciplinary team of experts brings the first consensus guidelines aimed to standardize and optimize the criteria and management in diagnosis, treatment and monitoring of non-invasive breast cancer patients in the Republic of Croatia.

Prospective Molecular Profiling of Canine Cancers Provides a Clinically Relevant Comparative Model for Evaluating Personalized Medicine (PMed) Trials

PubMed Central

Mazcko, Christina; Cherba, David; Hendricks, William; Lana, Susan; Ehrhart, E. J.; Charles, Brad; Fehling, Heather; Kumar, Leena; Vail, David; Henson, Michael; Childress, Michael; Kitchell, Barbara; Kingsley, Christopher; Kim, Seungchan; Neff, Mark; Davis, Barbara

2014-01-01

Background Molecularly-guided trials (i.e. PMed) now seek to aid clinical decision-making by matching cancer targets with therapeutic options. Progress has been hampered by the lack of cancer models that account for individual-to-individual heterogeneity within and across cancer types. Naturally occurring cancers in pet animals are heterogeneous and thus provide an opportunity to answer questions about these PMed strategies and optimize translation to human patients. In order to realize this opportunity, it is now necessary to demonstrate the feasibility of conducting molecularly-guided analysis of tumors from dogs with naturally occurring cancer in a clinically relevant setting. Methodology A proof-of-concept study was conducted by the Comparative Oncology Trials Consortium (COTC) to determine if tumor collection, prospective molecular profiling, and PMed report generation within 1 week was feasible in dogs. Thirty-one dogs with cancers of varying histologies were enrolled. Twenty-four of 31 samples (77%) successfully met all predefined QA/QC criteria and were analyzed via Affymetrix gene expression profiling. A subsequent bioinformatics workflow transformed genomic data into a personalized drug report. Average turnaround from biopsy to report generation was 116 hours (4.8 days). Unsupervised clustering of canine tumor expression data clustered by cancer type, but supervised clustering of tumors based on the personalized drug report clustered by drug class rather than cancer type. Conclusions Collection and turnaround of high quality canine tumor samples, centralized pathology, analyte generation, array hybridization, and bioinformatic analyses matching gene expression to therapeutic options is achievable in a practical clinical window (<1 week). Clustering data show robust signatures by cancer type but also showed patient-to-patient heterogeneity in drug predictions. This lends further support to the inclusion of a heterogeneous population of dogs with cancer into the preclinical modeling of personalized medicine. Future comparative oncology studies optimizing the delivery of PMed strategies may aid cancer drug development. PMID:24637659

Prospective molecular profiling of canine cancers provides a clinically relevant comparative model for evaluating personalized medicine (PMed) trials.

PubMed

Paoloni, Melissa; Webb, Craig; Mazcko, Christina; Cherba, David; Hendricks, William; Lana, Susan; Ehrhart, E J; Charles, Brad; Fehling, Heather; Kumar, Leena; Vail, David; Henson, Michael; Childress, Michael; Kitchell, Barbara; Kingsley, Christopher; Kim, Seungchan; Neff, Mark; Davis, Barbara; Khanna, Chand; Trent, Jeffrey

2014-01-01

Molecularly-guided trials (i.e. PMed) now seek to aid clinical decision-making by matching cancer targets with therapeutic options. Progress has been hampered by the lack of cancer models that account for individual-to-individual heterogeneity within and across cancer types. Naturally occurring cancers in pet animals are heterogeneous and thus provide an opportunity to answer questions about these PMed strategies and optimize translation to human patients. In order to realize this opportunity, it is now necessary to demonstrate the feasibility of conducting molecularly-guided analysis of tumors from dogs with naturally occurring cancer in a clinically relevant setting. A proof-of-concept study was conducted by the Comparative Oncology Trials Consortium (COTC) to determine if tumor collection, prospective molecular profiling, and PMed report generation within 1 week was feasible in dogs. Thirty-one dogs with cancers of varying histologies were enrolled. Twenty-four of 31 samples (77%) successfully met all predefined QA/QC criteria and were analyzed via Affymetrix gene expression profiling. A subsequent bioinformatics workflow transformed genomic data into a personalized drug report. Average turnaround from biopsy to report generation was 116 hours (4.8 days). Unsupervised clustering of canine tumor expression data clustered by cancer type, but supervised clustering of tumors based on the personalized drug report clustered by drug class rather than cancer type. Collection and turnaround of high quality canine tumor samples, centralized pathology, analyte generation, array hybridization, and bioinformatic analyses matching gene expression to therapeutic options is achievable in a practical clinical window (<1 week). Clustering data show robust signatures by cancer type but also showed patient-to-patient heterogeneity in drug predictions. This lends further support to the inclusion of a heterogeneous population of dogs with cancer into the preclinical modeling of personalized medicine. Future comparative oncology studies optimizing the delivery of PMed strategies may aid cancer drug development.

A Novel Approach to Detect Therapeutic Resistance in Breast Cancer

DTIC Science & Technology

2008-09-01

Resistance in Breast Cancer PRINCIPAL INVESTIGATOR: Kamila Czene, Ph.D. CONTRACTING ORGANIZATION: Karolinska Institutet ...ORGANIZATION REPORT NUMBER Karolinska Institutet Stockholm, Sweden 9. SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10...analysis. The digital image analysis algorithms and software that have been developed at Karolinska Institutet consists of an optimized combination of

Vatuximab(Trademark): Optimizing Therapeutic Strategies for Prostate Cancer Based on Dynamic MR Tumor Oximetry

DTIC Science & Technology

2007-01-01

diverse subcutaneous models will be translated to human tumor xenografts in intraosseous models of advanced metastatic prostate cancer (18). Here, PSA...representative MAT-LU, HI and H tumors growing on anesthetized rats breathing air with isoflurane anesthesia . Voxel dimension 1.25 mm in plane with 10

Working Alliance and Vocational Outcomes for Cancer Survivors: An Initial Analysis

ERIC Educational Resources Information Center

Strauser, David R.

2010-01-01

This study examines the sex differences in the perception of working alliance and the perceptions of optimism regarding future employment and job satisfaction with adult cancer survivors receiving vocational rehabilitation services. No significant differences were found between males and females in terms of the three components of the working…

Ten years of "Optimal Therapy in Advanced Ovarian Cancer. Update" meeting.

PubMed

Poveda, A

2008-01-01

The International Symposium on Advanced Ovarian Cancer: Optimal Therapy was founded by Dr. Andrés Poveda and Prof. Jan B. Vermorken, and each edition has been directed by them. The 6th edition was held on March 2, 2007. This symposium is organized every other year by GEICO (Grupo Español de Investigación de Cáncer de Ovario/Spanish Ovarian Cancer Research Group), under the auspices of the Spanish Society of Medical Oncology (SEOM), the Gynecologic Cancer Intergroup (GCIG), and the European Society of Medical Oncology (ESMO) Educational Committee for its Medical Oncology Recertification Approval (ESMO/MORA) Program. One hundred and fifty people attended the symposium's 1st edition, held in 1996. Since then, the interest in this meeting has increased. Last year, almost three hundred people coming not only from Spain but also from Europe, North and Latin America, Asia, and Australia were present in the symposium. This is a great challenge for us. Some important international cooperative groups from Europe, America, and Australia collaborate with this symposium, such as GOG, NCIC, EORTC, AGO, Scottish Group, ICON, GINECO, NSGO, ANZGOG, and others.

Release of Liposomal Contents by Cell-Secreted Matrix Metalloproteinase-9

PubMed Central

Banerjee, Jayati; Hanson, Andrea J.; Gadam, Bhushan; Elegbede, Adekunle I.; Tobwala, Shakila; Ganguly, Bratati; Wagh, Anil; Muhonen, Wallace W.; Law, Benedict; Shabb, John B.; Srivastava, D. K.; Mallik, Sanku

2011-01-01

Liposomes have been widely used as a drug delivery vehicle and currently, more than 10 liposomal formulations are approved by the Food and Drug Administration for clinical use. However, upon targeting, the release of the liposome-encapsulated contents is usually slow. We have recently demonstrated that contents from appropriately-formulated liposomes can be rapidly released by the cancer-associated enzyme matrix metalloproteinase-9 (MMP-9). Herein, we report our detailed studies to optimize the liposomal formulations. By properly selecting the lipopeptide, the major lipid component and their relative amounts, we demonstrate that the contents are rapidly released in the presence of cancer-associated levels of recombinant human MMP-9. We observed that the degree of lipid mismatch between the lipopepides and the major lipid component profoundly affects the release profiles from the liposomes. By utilizing the optimized liposomal formulations, we also demonstrate that cancer cells (HT-29) which secrete low levels of MMP-9 failed to release significant amount of the liposomal contents. Metastatic cancer cells (MCF7) secreting high levels of the enzyme rapidly release the encapsulated contents from the liposomes. PMID:19601658

Multimodal imaging evaluation in staging of rectal cancer

PubMed Central

Heo, Suk Hee; Kim, Jin Woong; Shin, Sang Soo; Jeong, Yong Yeon; Kang, Heoung-Keun

2014-01-01

Rectal cancer is a common cancer and a major cause of mortality in Western countries. Accurate staging is essential for determining the optimal treatment strategies and planning appropriate surgical procedures to control rectal cancer. Endorectal ultrasonography (EUS) is suitable for assessing the extent of tumor invasion, particularly in early-stage or superficial rectal cancer cases. In advanced cases with distant metastases, computed tomography (CT) is the primary approach used to evaluate the disease. Magnetic resonance imaging (MRI) is often used to assess preoperative staging and the circumferential resection margin involvement, which assists in evaluating a patient’s risk of recurrence and their optimal therapeutic strategy. Positron emission tomography (PET)-CT may be useful in detecting occult synchronous tumors or metastases at the time of initial presentation. Restaging after neoadjuvant chemoradiotherapy (CRT) remains a challenge with all modalities because it is difficult to reliably differentiate between the tumor mass and other radiation-induced changes in the images. EUS does not appear to have a useful role in post-therapeutic response assessments. Although CT is most commonly used to evaluate treatment responses, its utility for identifying and following-up metastatic lesions is limited. Preoperative high-resolution MRI in combination with diffusion-weighted imaging, and/or PET-CT could provide valuable prognostic information for rectal cancer patients with locally advanced disease receiving preoperative CRT. Based on these results, we conclude that a combination of multimodal imaging methods should be used to precisely assess the restaging of rectal cancer following CRT. PMID:24764662

Total parietal peritonectomy with en bloc pelvic resection for advanced ovarian cancer with peritoneal carcinomatosis.

PubMed

Kim, Hee Seung; Bristow, Robert E; Chang, Suk-Joon

2016-12-01

The majority of advanced ovarian cancer patients have peritoneal carcinomatosis involving from the pelvis to upper abdomen, which is a major obstacle to optimal cytoreduction. Since total parietal peritonectomy was introduced for treating peritoneal carcinomatosis from colorectal cancer [3], similar surgical techniques including pelvic peritonectomy have been applied in advanced ovarian cancer with peritoneal carcinomatosis [1], and these can increase the rate of complete cytoreduction up to 60% [2]. However, there are few reports on total parietal peritonectomy for ovarian cancer patients. In this surgical film, we showed total parietal peritonectomy with en bloc pelvic resection for treating advanced ovarian cancer with peritoneal carcinomatosis. A 43years-old woman was diagnosed with high-grade serous carcinoma of the ovary after right adnexectomy. Computed tomography demonstrated subdiaphragmatic involvements, omental cake, lymph node metastases and huge pelvic mass infiltrating the uterus, cul-de-sac, and pelvic peritoneum. Primary debulking surgery was considered because of a high likelihood for complete cytoreduction. First, the whole abdomen and pelvis were adequately exposed and the visceral organs thoroughly mobilized. Then, the parietal peritoneum was dissected from the subdiaphragmatic, paracolic and pelvic areas. Tumor-infiltrated visceral organs such as the uterus, adnexae, rectosigmoid colon and cul-de-sac were resected en bloc with the parietal peritoneum (Fig. 1). Total parietal peritonecotmy with en bloc pelvic resection is a feasible procedure for removing peritoneal metastasis in advanced ovarian cancer patients, which contributes to optimal cytoreduction improving prognosis. Copyright © 2016 Elsevier Inc. All rights reserved.

An individual risk prediction model for lung cancer based on a study in a Chinese population.

PubMed

Wang, Xu; Ma, Kewei; Cui, Jiuwei; Chen, Xiao; Jin, Lina; Li, Wei

2015-01-01

Early detection and diagnosis remains an effective yet challenging approach to improve the clinical outcome of patients with cancer. Low-dose computed tomography screening has been suggested to improve the diagnosis of lung cancer in high-risk individuals. To make screening more efficient, it is necessary to identify individuals who are at high risk. We conducted a case-control study to develop a predictive model for identification of such high-risk individuals. Clinical data from 705 lung cancer patients and 988 population-based controls were used for the development and evaluation of the model. Associations between environmental variants and lung cancer risk were analyzed with a logistic regression model. The predictive accuracy of the model was determined by calculating the area under the receiver operating characteristic curve and the optimal operating point. Our results indicate that lung cancer risk factors included older age, male gender, lower education level, family history of cancer, history of chronic obstructive pulmonary disease, lower body mass index, smoking cigarettes, a diet with less seafood, vegetables, fruits, dairy products, soybean products and nuts, a diet rich in meat, and exposure to pesticides and cooking emissions. The area under the curve was 0.8851 and the optimal operating point was obtained. With a cutoff of 0.35, the false positive rate, true positive rate, and Youden index were 0.21, 0.87, and 0.66, respectively. The risk prediction model for lung cancer developed in this study could discriminate high-risk from low-risk individuals.

Motivations for genetic testing for lung cancer risk among young smokers.

PubMed

O'Neill, Suzanne C; Lipkus, Isaac M; Sanderson, Saskia C; Shepperd, James; Docherty, Sharron; McBride, Colleen M

2013-11-01

To examine why young people might want to undergo genetic susceptibility testing for lung cancer despite knowing that tested gene variants are associated with small increases in disease risk. The authors used a mixed-method approach to evaluate motives for and against genetic testing and the association between these motivations and testing intentions in 128 college students who smoke. Exploratory factor analysis yielded four reliable factors: Test Scepticism, Test Optimism, Knowledge Enhancement and Smoking Optimism. Test Optimism and Knowledge Enhancement correlated positively with intentions to test in bivariate and multivariate analyses (ps<0.001). Test Scepticism correlated negatively with testing intentions in multivariate analyses (p<0.05). Open-ended questions assessing testing motivations generally replicated themes of the quantitative survey. In addition to learning about health risks, young people may be motivated to seek genetic testing for reasons, such as gaining knowledge about new genetic technologies more broadly.

Formulation and optimization of oxaliplatin immuno-nanoparticles using Box-Behnken design and cytotoxicity assessment for synergistic and receptor-mediated targeting in the treatment of colorectal cancer.

PubMed

Tummala, Shashank; Gowthamarajan, K; Satish Kumar, M N; Praveen, T K; Yamjala, Karthik; Tripuraneni, Naga Srinivas; Prakash, Ashwati

2016-12-01

Conventional chemotherapy majorly lacks clinical application attributed to its inspecificity, adverse effects and inability to penetrate into tumor cells. Hence, the aim of the study was to prepare oxaliplatin solid lipid nanoparticles (OP-SLN) by microemulsion method optimizing it by Box-Behnken design and then covalently conjugated to TRAIL (CD-253) monoclonal antibody (TR-OP-SLN) for targeting colorectal cancer cells. The optimized OP-SLN3 has shown an appreciable particle size (121 ± 1.22 nm), entrapment efficiency (78 ± 0.09%) and drug loading (32 ± 1.01%). Fluorescence study and the Bradford assay further confirmed the binding of the protein. A 1.5-fold increase in cytotoxicity of immuno-nanoparticles (4.9 μM) was observed.

Characterization of a Raman spectroscopy probe system for intraoperative brain tissue classification

PubMed Central

Desroches, Joannie; Jermyn, Michael; Mok, Kelvin; Lemieux-Leduc, Cédric; Mercier, Jeanne; St-Arnaud, Karl; Urmey, Kirk; Guiot, Marie-Christine; Marple, Eric; Petrecca, Kevin; Leblond, Frédéric

2015-01-01

A detailed characterization study is presented of a Raman spectroscopy system designed to maximize the volume of resected cancer tissue in glioma surgery based on in vivo molecular tissue characterization. It consists of a hand-held probe system measuring spectrally resolved inelastically scattered light interacting with tissue, designed and optimized for in vivo measurements. Factors such as linearity of the signal with integration time and laser power, and their impact on signal to noise ratio, are studied leading to optimal data acquisition parameters. The impact of ambient light sources in the operating room is assessed and recommendations made for optimal operating conditions. In vivo Raman spectra of normal brain, cancer and necrotic tissue were measured in 10 patients, demonstrating that real-time inelastic scattering measurements can distinguish necrosis from vital tissue (including tumor and normal brain tissue) with an accuracy of 87%, a sensitivity of 84% and a specificity of 89%. PMID:26203368

Tumor mismatch repair immunohistochemistry and DNA MLH1 methylation testing of patients with endometrial cancer diagnosed at age younger than 60 years optimizes triage for population-level germline mismatch repair gene mutation testing.

PubMed

Buchanan, Daniel D; Tan, Yen Y; Walsh, Michael D; Clendenning, Mark; Metcalf, Alexander M; Ferguson, Kaltin; Arnold, Sven T; Thompson, Bryony A; Lose, Felicity A; Parsons, Michael T; Walters, Rhiannon J; Pearson, Sally-Ann; Cummings, Margaret; Oehler, Martin K; Blomfield, Penelope B; Quinn, Michael A; Kirk, Judy A; Stewart, Colin J; Obermair, Andreas; Young, Joanne P; Webb, Penelope M; Spurdle, Amanda B

2014-01-10

Clinicopathologic data from a population-based endometrial cancer cohort, unselected for age or family history, were analyzed to determine the optimal scheme for identification of patients with germline mismatch repair (MMR) gene mutations. Endometrial cancers from 702 patients recruited into the Australian National Endometrial Cancer Study (ANECS) were tested for MMR protein expression using immunohistochemistry (IHC) and for MLH1 gene promoter methylation in MLH1-deficient cases. MMR mutation testing was performed on germline DNA of patients with MMR-protein deficient tumors. Prediction of germline mutation status was compared for combinations of tumor characteristics, age at diagnosis, and various clinical criteria (Amsterdam, Bethesda, Society of Gynecologic Oncology, ANECS). Tumor MMR-protein deficiency was detected in 170 (24%) of 702 cases. Germline testing of 158 MMR-deficient cases identified 22 truncating mutations (3% of all cases) and four unclassified variants. Tumor MLH1 methylation was detected in 99 (89%) of 111 cases demonstrating MLH1/PMS2 IHC loss; all were germline MLH1 mutation negative. A combination of MMR IHC plus MLH1 methylation testing in women younger than 60 years of age at diagnosis provided the highest positive predictive value for the identification of mutation carriers at 46% versus ≤ 41% for any other criteria considered. Population-level identification of patients with MMR mutation-positive endometrial cancer is optimized by stepwise testing for tumor MMR IHC loss in patients younger than 60 years, tumor MLH1 methylation in individuals with MLH1 IHC loss, and germline mutations in patients exhibiting loss of MSH6, MSH2, or PMS2 or loss of MLH1/PMS2 with absence of MLH1 methylation.

Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme

NASA Astrophysics Data System (ADS)

Heidari, Morteza; Zargari Khuzani, Abolfazl; Danala, Gopichandh; Qiu, Yuchen; Zheng, Bin

2018-02-01

Objective of this study is to develop and test a new computer-aided detection (CAD) scheme with improved region of interest (ROI) segmentation combined with an image feature extraction framework to improve performance in predicting short-term breast cancer risk. A dataset involving 570 sets of "prior" negative mammography screening cases was retrospectively assembled. In the next sequential "current" screening, 285 cases were positive and 285 cases remained negative. A CAD scheme was applied to all 570 "prior" negative images to stratify cases into the high and low risk case group of having cancer detected in the "current" screening. First, a new ROI segmentation algorithm was used to automatically remove useless area of mammograms. Second, from the matched bilateral craniocaudal view images, a set of 43 image features related to frequency characteristics of ROIs were initially computed from the discrete cosine transform and spatial domain of the images. Third, a support vector machine model based machine learning classifier was used to optimally classify the selected optimal image features to build a CAD-based risk prediction model. The classifier was trained using a leave-one-case-out based cross-validation method. Applying this improved CAD scheme to the testing dataset, an area under ROC curve, AUC = 0.70+/-0.04, which was significantly higher than using the extracting features directly from the dataset without the improved ROI segmentation step (AUC = 0.63+/-0.04). This study demonstrated that the proposed approach could improve accuracy on predicting short-term breast cancer risk, which may play an important role in helping eventually establish an optimal personalized breast cancer paradigm.

Cancer control in developing countries: using health data and health services research to measure and improve access, quality and efficiency.

PubMed

Hanna, Timothy P; Kangolle, Alfred C T

2010-10-13

Cancer is a rapidly increasing problem in developing countries. Access, quality and efficiency of cancer services in developing countries must be understood to advance effective cancer control programs. Health services research can provide insights into these areas. This article provides an overview of oncology health services in developing countries. We use selected examples from peer-reviewed literature in health services research and relevant publicly available documents. In spite of significant limitations in the available data, it is clear there are substantial barriers to access to cancer control in developing countries. This includes prevention, early detection, diagnosis/treatment and palliation. There are also substantial limitations in the quality of cancer control and a great need to improve economic efficiency. We describe how the application of health data may assist in optimizing (1) Structure: strengthening planning, collaboration, transparency, research development, education and capacity building. (2) PROCESS: enabling follow-up, knowledge translation, patient safety and quality assurance. (3) OUTCOME: facilitating evaluation, monitoring and improvement of national cancer control efforts. There is currently limited data and capacity to use this data in developing countries for these purposes. There is an urgent need to improve health services for cancer control in developing countries. Current resources and much-needed investments must be optimally managed. To achieve this, we would recommend investment in four key priorities: (1) Capacity building in oncology health services research, policy and planning relevant to developing countries. (2) Development of high-quality health data sources. (3) More oncology-related economic evaluations in developing countries. (4) Exploration of high-quality models of cancer control in developing countries. Meeting these needs will require national, regional and international collaboration as well as political leadership. Horizontal integration with programs for other diseases will be important.

Lung Cancer Risk Prediction Model Incorporating Lung Function: Development and Validation in the UK Biobank Prospective Cohort Study.

PubMed

Muller, David C; Johansson, Mattias; Brennan, Paul

2017-03-10

Purpose Several lung cancer risk prediction models have been developed, but none to date have assessed the predictive ability of lung function in a population-based cohort. We sought to develop and internally validate a model incorporating lung function using data from the UK Biobank prospective cohort study. Methods This analysis included 502,321 participants without a previous diagnosis of lung cancer, predominantly between 40 and 70 years of age. We used flexible parametric survival models to estimate the 2-year probability of lung cancer, accounting for the competing risk of death. Models included predictors previously shown to be associated with lung cancer risk, including sex, variables related to smoking history and nicotine addiction, medical history, family history of lung cancer, and lung function (forced expiratory volume in 1 second [FEV1]). Results During accumulated follow-up of 1,469,518 person-years, there were 738 lung cancer diagnoses. A model incorporating all predictors had excellent discrimination (concordance (c)-statistic [95% CI] = 0.85 [0.82 to 0.87]). Internal validation suggested that the model will discriminate well when applied to new data (optimism-corrected c-statistic = 0.84). The full model, including FEV1, also had modestly superior discriminatory power than one that was designed solely on the basis of questionnaire variables (c-statistic = 0.84 [0.82 to 0.86]; optimism-corrected c-statistic = 0.83; p FEV1 = 3.4 × 10 -13 ). The full model had better discrimination than standard lung cancer screening eligibility criteria (c-statistic = 0.66 [0.64 to 0.69]). Conclusion A risk prediction model that includes lung function has strong predictive ability, which could improve eligibility criteria for lung cancer screening programs.

Pharmacological Inhibitors of NAD Biosynthesis as Potential An ticancer Agents.

PubMed

Lucas, Stephanie; Soave, Claire; Nabil, Ghazal; Ahmed, Zainab Sabry Othman; Chen, Guohua; El-Banna, Hossny Awad; Dou, Q Ping; Wang, Jian

2017-01-01

Alteration of cellular metabolism is a hallmark of cancer, which underlies exciting opportunities to develop effective, anti-cancer therapeutics through inhibition of cancer metabolism. Nicotinamide Adenine Dinucleotide (NAD+), an essential coenzyme of energy metabolism and a signaling molecule linking cellular energy status to a spectrum of molecular regulation, has been shown to be in high demand in a variety of cancer cells. Depletion of NAD+ by inhibition of its key biosynthetic enzymes has become an attractive strategy to target cancer. The main objective of this article is to review the recent patents which develop and implicate the chemical inhibitors of the key NAD+ biosynthetic enzymes for cancer treatment. We first discuss the biological principles of NAD+ metabolism in normal and malignant cells, with a focus on the feasibility of selectively targeting cancer cells by pharmacological inhibition of nicotinamide phosphoribosyltransferase (NAMPT) and indoleamine/tryptophan 2,3-dioxygenases (IDO/TDO), the rate-limiting salvage and de novo NAD+ biosynthetic enzymes, respectively. We then analyze a series of recent patents on development and optimization of chemical scaffolds for inhibiting NAMPT or IDO/TDO enzymes as potential anticancer drugs. Conclusion and Results: We have reviewed 16 relevant patents published since 2015, and summarized the chemical properties, mechanisms of action and proposed applications of the patented compounds. Without a better understanding of the properties of these compounds, their utility for further optimization and clinical use is unknown. For the compounds that have been tested using cell and mouse models of cancer, results look promising and clinical trials are currently ongoing to see if these results translate to improved cancer treatments. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Unifying screening processes within the PROSPR consortium: a conceptual model for breast, cervical, and colorectal cancer screening.

PubMed

Beaber, Elisabeth F; Kim, Jane J; Schapira, Marilyn M; Tosteson, Anna N A; Zauber, Ann G; Geiger, Ann M; Kamineni, Aruna; Weaver, Donald L; Tiro, Jasmin A

2015-06-01

General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. We present a trans-organ conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based on clinical guidelines and protocols; the model concepts could be expanded to other organ sites. The model covers four types of care in the screening process: risk assessment, detection, diagnosis, and treatment. Interfaces between different provider teams (eg, primary care and specialty care), including communication and transfer of responsibility, may occur when transitioning between types of care. Our model highlights across each organ site similarities and differences in steps, interfaces, and transitions in the screening process and documents the conclusion of a screening episode. This model was developed within the National Cancer Institute-funded consortium Population-based Research Optimizing Screening through Personalized Regimens (PROSPR). PROSPR aims to optimize the screening process for breast, cervical, and colorectal cancer and includes seven research centers and a statistical coordinating center. Given current health care reform initiatives in the United States, this conceptual model can facilitate the development of comprehensive quality metrics for cancer screening and promote trans-organ comparative cancer screening research. PROSPR findings will support the design of interventions that improve screening outcomes across multiple cancer sites. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory.

PubMed

Takahashi, Hiro; Aoyagi, Kazuhiko; Nakanishi, Yukihiro; Sasaki, Hiroki; Yoshida, Teruhiko; Honda, Hiroyuki

2006-07-01

Esophageal cancer is a well-known cancer with poorer prognosis than other cancers. An optimal and individualized treatment protocol based on accurate diagnosis is urgently needed to improve the treatment of cancer patients. For this purpose, it is important to develop a sophisticated algorithm that can manage a large amount of data, such as gene expression data from DNA microarrays, for optimal and individualized diagnosis. Marker gene selection is essential in the analysis of gene expression data. We have already developed a combination method of the use of the projective adaptive resonance theory and that of a boosted fuzzy classifier with the SWEEP operator denoted PART-BFCS. This method is superior to other methods, and has four features, namely fast calculation, accurate prediction, reliable prediction, and rule extraction. In this study, we applied this method to analyze microarray data obtained from esophageal cancer patients. A combination method of PART-BFCS and the U-test was also investigated. It was necessary to use a specific type of BFCS, namely, BFCS-1,2, because the esophageal cancer data were very complexity. PART-BFCS and PART-BFCS with the U-test models showed higher performances than two conventional methods, namely, k-nearest neighbor (kNN) and weighted voting (WV). The genes including CDK6 could be found by our methods and excellent IF-THEN rules could be extracted. The genes selected in this study have a high potential as new diagnosis markers for esophageal cancer. These results indicate that the new methods can be used in marker gene selection for the diagnosis of cancer patients.

Pharmacokinetics and Drug Interactions Determine Optimum Combination Strategies in Computational Models of Cancer Evolution.

PubMed

Chakrabarti, Shaon; Michor, Franziska

2017-07-15

The identification of optimal drug administration schedules to battle the emergence of resistance is a major challenge in cancer research. The existence of a multitude of resistance mechanisms necessitates administering drugs in combination, significantly complicating the endeavor of predicting the evolutionary dynamics of cancers and optimal intervention strategies. A thorough understanding of the important determinants of cancer evolution under combination therapies is therefore crucial for correctly predicting treatment outcomes. Here we developed the first computational strategy to explore pharmacokinetic and drug interaction effects in evolutionary models of cancer progression, a crucial step towards making clinically relevant predictions. We found that incorporating these phenomena into our multiscale stochastic modeling framework significantly changes the optimum drug administration schedules identified, often predicting nonintuitive strategies for combination therapies. We applied our approach to an ongoing phase Ib clinical trial (TATTON) administering AZD9291 and selumetinib to EGFR-mutant lung cancer patients. Our results suggest that the schedules used in the three trial arms have almost identical efficacies, but slight modifications in the dosing frequencies of the two drugs can significantly increase tumor cell eradication. Interestingly, we also predict that drug concentrations lower than the MTD are as efficacious, suggesting that lowering the total amount of drug administered could lower toxicities while not compromising on the effectiveness of the drugs. Our approach highlights the fact that quantitative knowledge of pharmacokinetic, drug interaction, and evolutionary processes is essential for identifying best intervention strategies. Our method is applicable to diverse cancer and treatment types and allows for a rational design of clinical trials. Cancer Res; 77(14); 3908-21. ©2017 AACR . ©2017 American Association for Cancer Research.

Cell population heterogeneity and evolution towards drug resistance in cancer: Biological and mathematical assessment, theoretical treatment optimisation.

PubMed

Chisholm, Rebecca H; Lorenzi, Tommaso; Clairambault, Jean

2016-11-01

Drug-induced drug resistance in cancer has been attributed to diverse biological mechanisms at the individual cell or cell population scale, relying on stochastically or epigenetically varying expression of phenotypes at the single cell level, and on the adaptability of tumours at the cell population level. We focus on intra-tumour heterogeneity, namely between-cell variability within cancer cell populations, to account for drug resistance. To shed light on such heterogeneity, we review evolutionary mechanisms that encompass the great evolution that has designed multicellular organisms, as well as smaller windows of evolution on the time scale of human disease. We also present mathematical models used to predict drug resistance in cancer and optimal control methods that can circumvent it in combined therapeutic strategies. Plasticity in cancer cells, i.e., partial reversal to a stem-like status in individual cells and resulting adaptability of cancer cell populations, may be viewed as backward evolution making cancer cell populations resistant to drug insult. This reversible plasticity is captured by mathematical models that incorporate between-cell heterogeneity through continuous phenotypic variables. Such models have the benefit of being compatible with optimal control methods for the design of optimised therapeutic protocols involving combinations of cytotoxic and cytostatic treatments with epigenetic drugs and immunotherapies. Gathering knowledge from cancer and evolutionary biology with physiologically based mathematical models of cell population dynamics should provide oncologists with a rationale to design optimised therapeutic strategies to circumvent drug resistance, that still remains a major pitfall of cancer therapeutics. This article is part of a Special Issue entitled "System Genetics" Guest Editor: Dr. Yudong Cai and Dr. Tao Huang. Copyright © 2016 Elsevier B.V. All rights reserved.

Role of the Speech-Language Pathologist (SLP) in the Head and Neck Cancer Team.

PubMed

Hansen, Kelly; Chenoweth, Marybeth; Thompson, Heather; Strouss, Alexandra

2018-01-01

While treatments for head and neck cancer are aimed at curing patients from disease, they can have significant short- and long-term negative impacts on speech and swallowing functions. Research demonstrates that early and frequent involvement of Speech-Language Pathologists (SLPs) is beneficial to these functions and overall quality of life for head and neck cancer patients. Strategies and tools to optimize communication and safe swallowing are presented in this chapter.

Mechanisms of CTC Biomarkers in Breast Cancer Brain Metastasis

DTIC Science & Technology

2015-10-01

from breast cancer patients are very distinct from breast cancer cell lines that are widely used for drug discovery, a finding which raises the...These findings are of relevance because the formation of invadopodia in CTC is required for the in vivo extravasation through blood-brain barrier as...Optimization of PCR conditions to prepare distinct Notch1/HPSE shRNAs with the establishment of an effective cloning protocol to construct pINDUCER11-shRNA

[Supportive care during chemotherapy for lung cancer in daily practice].

PubMed

Müller, Veronika; Tamási, Lilla; Gálffy, Gabriella; Losonczy, György

2012-09-01

Active oncotherapy, combination chemotherapy of lung cancer is accompanied with many side effects which may impair patients' quality of life and compromise the effectiveness of chemotherapy. Most side effects of chemotherapy are preventable or treatable with optimal supportive care which enhances success in patient care and treatment. The aim of this review is to summarize the most important conditions that may be associated with combined chemotherapy of lung cancer from the practical point of view.

Evaluation of Immune Responses Mediated by Listeria-Stimulated Human Dendritic Cells: Implications for Cancer Vaccine Therapy

DTIC Science & Technology

2015-09-01

Award Number: W81XWH-11-1-0384 TITLE: Evaluation of Immune Responses Mediated by Listeria-Stimulated Human Dendritic Cells : Implications for...Immune Responses Mediated by Listeria-Stimulated Human Dendritic Cells : Implications for Cancer Vaccine Therapy 5b. GRANT NUMBER CA100463 5c...Listeria monocytogenes (Lm) on human dendritic cells (DCs) to optimize Lm-based DC cancer vaccines. The project aims are: 1) Compare the activation and

Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics.

PubMed

Ding, Michael Q; Chen, Lujia; Cooper, Gregory F; Young, Jonathan D; Lu, Xinghua

2018-02-01

Precision oncology involves identifying drugs that will effectively treat a tumor and then prescribing an optimal clinical treatment regimen. However, most first-line chemotherapy drugs do not have biomarkers to guide their application. For molecularly targeted drugs, using the genomic status of a drug target as a therapeutic indicator has limitations. In this study, machine learning methods (e.g., deep learning) were used to identify informative features from genome-scale omics data and to train classifiers for predicting the effectiveness of drugs in cancer cell lines. The methodology introduced here can accurately predict the efficacy of drugs, regardless of whether they are molecularly targeted or nonspecific chemotherapy drugs. This approach, on a per-drug basis, can identify sensitive cancer cells with an average sensitivity of 0.82 and specificity of 0.82; on a per-cell line basis, it can identify effective drugs with an average sensitivity of 0.80 and specificity of 0.82. This report describes a data-driven precision medicine approach that is not only generalizable but also optimizes therapeutic efficacy. The framework detailed herein, when successfully translated to clinical environments, could significantly broaden the scope of precision oncology beyond targeted therapies, benefiting an expanded proportion of cancer patients. Mol Cancer Res; 16(2); 269-78. ©2017 AACR . ©2017 American Association for Cancer Research.

[Effect of ginseng rare ginsenoside components combined with paclitaxel on A549 lung cancer].

PubMed

Yang, Lei; Zhang, Zhen-Hai; Jia, Xiao-Bin

2018-04-01

Traditional Chinese medicine combined with anticancer drugs is a new direction of clinical cancer therapy in recent years. In this study, the optimal ratio of ginseng rare ginsenoside components and paclitaxel was optimized by MTT method, and the proliferative, apoptotic and anti-tumor effects of lung cancer A549 cells were investigated. It was found that the inhibitory effect on the proliferation of lung cancer A549 cells was the same as that on paclitaxel when the ratio of rare ginseng rare ginsenoside components to paclitaxel was 4∶6. Further studies showed that the combined therapy significantly increased the inductive effect of apoptosis in A549 cells, and up-regulated the expression of caspase-3 protein and down-regulated the ratio of Bcl-2/Bax. The tumor-bearing mice model showed that the combination therapy of ginseng rare ginsenoside components and paclitaxel could significantly inhibit the growth of tumor and alleviate the toxic and side effects of paclitaxel on liver. A multi-component system of ginseng rare ginsenoside components-paclitaxel was established in this paper. The proliferation and growth of lung cancer A549 cells were inhibited by paclitaxel-induced apoptosis, the dosage of paclitaxel and the toxicity of paclitaxel were reduced, and the effect of anti-lung cancer was enhanced, which provided a theoretical basis for later studies and clinical application. Copyright© by the Chinese Pharmaceutical Association.

The stability of colorectal cancer mathematical models

NASA Astrophysics Data System (ADS)

Khairudin, Nur Izzati; Abdullah, Farah Aini

2013-04-01

Colorectal cancer is one of the most common types of cancer. To better understand about the kinetics of cancer growth, mathematical models are used to provide insight into the progression of this natural process which enables physicians and oncologists to determine optimal radiation and chemotherapy schedules and develop a prognosis, both of which are indispensable for treating cancer. This thesis investigates the stability of colorectal cancer mathematical models. We found that continuous saturating feedback is the best available model of colorectal cancer growth. We also performed stability analysis. The result shows that cancer progress in sequence of genetic mutations or epigenetic which lead to a very large number of cells population until become unbounded. The cell population growth initiate and its saturating feedback is overcome when mutation changes causing the net per-capita growth rate of stem or transit cells exceed critical threshold.

Companion diagnostics for the targeted therapy of gastric cancer.

PubMed

Yoo, Changhoon; Park, Young Soo

2015-10-21

Gastric cancer is the fourth most common type of cancer and represents a major cause of cancer-related deaths worldwide. With recent biomedical advances in our understanding of the molecular characteristics of gastric cancer, many genetic alterations have been identified as potential targets for its treatment. Multiple novel agents are currently under development as the demand for active agents that improve the survival of gastric cancer patients constantly increases. Based on lessons from previous trials of targeted agents, it is now widely accepted that the establishment of an optimal diagnostic test to select molecularly defined patients is of equal importance to the development of active agents against targetable genetic alterations. Herein, we highlight the current status and future perspectives of companion diagnostics in the treatment of gastric cancer.

Prediction of cancer specific survival after radical nephroureterectomy for upper tract urothelial carcinoma: development of an optimized postoperative nomogram using decision curve analysis.

PubMed

Rouprêt, Morgan; Hupertan, Vincent; Seisen, Thomas; Colin, Pierre; Xylinas, Evanguelos; Yates, David R; Fajkovic, Harun; Lotan, Yair; Raman, Jay D; Zigeuner, Richard; Remzi, Mesut; Bolenz, Christian; Novara, Giacomo; Kassouf, Wassim; Ouzzane, Adil; Rozet, François; Cussenot, Olivier; Martinez-Salamanca, Juan I; Fritsche, Hans-Martin; Walton, Thomas J; Wood, Christopher G; Bensalah, Karim; Karakiewicz, Pierre I; Montorsi, Francesco; Margulis, Vitaly; Shariat, Shahrokh F

2013-05-01

We conceived and proposed a unique and optimized nomogram to predict cancer specific survival after radical nephroureterectomy in patients with upper tract urothelial carcinoma by merging the 2 largest multicenter data sets reported in this population. The international and the French national collaborative groups on upper tract urothelial carcinoma pooled data on 3,387 patients treated with radical nephroureterectomy for whom full data for nomogram development were available. The merged study population was randomly split into the development cohort (2,371) and the external validation cohort (1,016). Cox regressions were used for univariable and multivariable analyses, and to build different models. The ultimate reduced nomogram was assessed using Harrell's concordance index (c-index) and decision curve analysis. Of the 2,371 patients in the nomogram development cohort 510 (21.5%) died of upper tract urothelial carcinoma during followup. The actuarial cancer specific survival probability at 5 years was 73.7% (95% CI 71.9-75.6). Decision curve analysis revealed that the use of the best model was associated with benefit gains relative to the prediction of cancer specific survival. The optimized nomogram included only 5 variables associated with cancer specific survival on multivariable analysis, those of age (p = 0.001), T stage (p <0.001), N stage (p = 0.001), architecture (p = 0.02) and lymphovascular invasion (p = 0.001). The discriminative accuracy of the nomogram was 0.8 (95% CI 0.77-0.86). Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, we devised and validated an accurate and ultimate nomogram, superior to any single clinical variable, for predicting cancer specific survival after radical nephroureterectomy. Copyright © 2013 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Optimizing of MALDI-ToF-based low-molecular-weight serum proteome pattern analysis in detection of breast cancer patients; the effect of albumin removal on classification performance.

PubMed

Pietrowska, M; Marczak, L; Polanska, J; Nowicka, E; Behrent, K; Tarnawski, R; Stobiecki, M; Polanski, A; Widlak, P

2010-01-01

Mass spectrometry-based analysis of the serum proteome allows identifying multi-peptide patterns/signatures specific for blood of cancer patients, thus having high potential value for cancer diagnostics. However, because of problems with optimization and standardization of experimental and computational design, none of identified proteome patterns/signatures was approved for diagnostics in clinical practice as yet. Here we compared two methods of serum sample preparation for mass spectrometry-based proteome pattern analysis aimed to identify biomarkers that could be used in early detection of breast cancer patients. Blood samples were collected in a group of 92 patients diagnosed at early (I and II) stages of the disease before the start of therapy, and in a group of age-matched healthy controls (104 women). Serum specimens were purified and analyzed using MALDI-ToF spectrometry, either directly or after membrane filtration (50 kDa cut-off) to remove albumin and other large serum proteins. Mass spectra of the low-molecular-weight fraction (2-10 kDa) of the serum proteome were resolved using the Gaussian mixture decomposition, and identified spectral components were used to build classifiers that differentiated samples from breast cancer patients and healthy persons. Mass spectra of complete serum and membrane-filtered albumin-depleted samples have apparently different structure and peaks specific for both types of samples could be identified. The optimal classifier built for the complete serum specimens consisted of 8 spectral components, and had 81% specificity and 72% sensitivity, while that built for the membrane-filtered samples consisted of 4 components, and had 80% specificity and 81% sensitivity. We concluded that pre-processing of samples to remove albumin might be recommended before MALDI-ToF mass spectrometric analysis of the low-molecular-weight components of human serum Keywords: albumin removal; breast cancer; clinical proteomics; mass spectrometry; pattern analysis; serum proteome.

Lysosomotropic properties of weakly basic anticancer agents promote cancer cell selectivity in vitro.

PubMed

Ndolo, Rosemary A; Luan, Yepeng; Duan, Shaofeng; Forrest, M Laird; Krise, Jeffrey P

2012-01-01

Drug distribution in cells is a fundamentally important, yet often overlooked, variable in drug efficacy. Many weakly basic anticancer agents accumulate extensively in the acidic lysosomes of normal cells through ion trapping. Lysosomal trapping reduces the activity of anticancer drugs, since anticancer drug targets are often localized in the cell cytosol or nucleus. Some cancer cells have defective acidification of lysosomes, which causes a redistribution of trapped drugs from the lysosomes to the cytosol. We have previously established that such differences in drug localization between normal and cancer cells can contribute to the apparent selectivity of weakly basic drugs to cancer cells in vitro. In this work, we tested whether this intracellular distribution-based drug selectivity could be optimized based on the acid dissociation constant (pKa) of the drug, which is one of the determinants of lysosomal sequestration capacity. We synthesized seven weakly basic structural analogs of the Hsp90 inhibitor geldanamycin (GDA) with pKa values ranging from 5 to 12. The selectivity of each analog was expressed by taking ratios of anti-proliferative IC(50) values of the inhibitors in normal fibroblasts to the IC(50) values in human leukemic HL-60 cells. Similar selectivity assessments were performed in a pair of cancer cell lines that differed in lysosomal pH as a result of siRNA-mediated alteration of vacuolar proton ATPase subunit expression. Optimal selectivity was observed for analogs with pKa values near 8. Similar trends were observed with commercial anticancer agents with varying weakly basic pKa values. These evaluations advance our understanding of how weakly basic properties can be optimized to achieve maximum anticancer drug selectivity towards cancer cells with defective lysosomal acidification in vitro. Additional in vivo studies are needed to examine the utility of this approach for enhancing selectivity.

Lysosomotropic Properties of Weakly Basic Anticancer Agents Promote Cancer Cell Selectivity In Vitro

PubMed Central

Ndolo, Rosemary A.; Luan, Yepeng; Duan, Shaofeng; Forrest, M. Laird; Krise, Jeffrey P.

2012-01-01

Drug distribution in cells is a fundamentally important, yet often overlooked, variable in drug efficacy. Many weakly basic anticancer agents accumulate extensively in the acidic lysosomes of normal cells through ion trapping. Lysosomal trapping reduces the activity of anticancer drugs, since anticancer drug targets are often localized in the cell cytosol or nucleus. Some cancer cells have defective acidification of lysosomes, which causes a redistribution of trapped drugs from the lysosomes to the cytosol. We have previously established that such differences in drug localization between normal and cancer cells can contribute to the apparent selectivity of weakly basic drugs to cancer cells in vitro. In this work, we tested whether this intracellular distribution-based drug selectivity could be optimized based on the acid dissociation constant (pKa) of the drug, which is one of the determinants of lysosomal sequestration capacity. We synthesized seven weakly basic structural analogs of the Hsp90 inhibitor geldanamycin (GDA) with pKa values ranging from 5 to 12. The selectivity of each analog was expressed by taking ratios of anti-proliferative IC50 values of the inhibitors in normal fibroblasts to the IC50 values in human leukemic HL-60 cells. Similar selectivity assessments were performed in a pair of cancer cell lines that differed in lysosomal pH as a result of siRNA-mediated alteration of vacuolar proton ATPase subunit expression. Optimal selectivity was observed for analogs with pKa values near 8. Similar trends were observed with commercial anticancer agents with varying weakly basic pKa values. These evaluations advance our understanding of how weakly basic properties can be optimized to achieve maximum anticancer drug selectivity towards cancer cells with defective lysosomal acidification in vitro. Additional in vivo studies are needed to examine the utility of this approach for enhancing selectivity. PMID:23145164

Community-based prevention of hepatitis-B-related liver cancer: Australian insights

PubMed Central

Kansil, Melanie Q; Porwal, Mamta; Penman, Andrew G; George, Jacob

2014-01-01

Abstract Problem Although most primary hepatocellular cancers (HCCs) are attributable to chronic viral hepatitis and largely preventable, such cancers remain a leading cause of cancer-related mortality wherever chronic hepatitis B is endemic. Approach Many HCCs could be prevented by increasing awareness and knowledge of hepatitis B, optimizing the monitoring of chronic hepatitis B and using antiviral treatments – but there are gaps in the implementation of such strategies. Local setting The “B Positive” programme, based in Sydney, Australia, is designed to improve hepatitis-B-related health outcomes among immigrants from countries with endemic hepatitis B. The programme offers information about disease screening, vaccination and treatment options, as well as optimized access to care. Relevant changes The B Positive programme has been informed by economic modelling. The programme offers culturally tailored education on chronic hepatitis B to target communities and their health practitioners and regular follow-up through a population-based registry of cases. Lessons learnt As the costs of screening for chronic hepatitis B and follow-up are relatively low and less than one in every four cases may require antiviral drugs, optimizing access to treatment seems an appropriate and cost-effective management option. The identification and accurate staging of cases and the judicious use of antiviral medications are predicated upon an informed and educated health workforce. As establishing community trust is a lengthy process, delaying the implementation of programmes against chronic hepatitis B until antiviral drugs become cheaper is unwarranted. PMID:24839327

A microfluidic chaotic mixer platform for cancer stem cell immunocapture and release

NASA Astrophysics Data System (ADS)

Shaner, Sebastian Wesley

Isolation of exceedingly rare and ambiguous cells, like cancer stem cells (CSCs), from a pool of other abundant cells is a daunting task primarily due to the inadequately defined properties of such cells. With phenotypes of different CSCs fairly well-defined, immunocapturing of CSCs is a desirable cell-specific capture technique. A microfluidic device is a proven candidate that offers the platform for user-constrained microenvironments that can be optimized for small-scale volumetric flow experimentation. In this study, we show how a well-known passive micromixer design (staggered herringbone mixer - SHM) can be optimized to induce maximum chaotic mixing within antibody-laced microchannels and, ultimately, promote CSC capture. The device's (Cancer Stem Cell Capture Chip - CSC3 (TM)) principle design configuration is called: Single-Walled Staggered Herringbone (SWaSH). The CSC3 (TM) was constructed of a polydimethylsiloxane (PDMS) foundation and thinly coated with an alginate hydrogel derivatized with streptavidin. The results of our work showed that the non-stickiness of alginate and antigen-specific antibodies allowed for superb target-specific cell isolation and negligible non-specific cell binding. Future engineering design directions include developing new configurations (e.g. Staggered High-Low Herringbone (SHiLoH) and offset SHiLoH) to optimize microvortex generation within the microchannels. This study's qualitative and quantitative results can help stimulate progress into refinements in device design and prospective advancements in cancer stem cell isolation and more comprehensive single-cell and cluster analysis.

Diet optimization methods can help translate dietary guidelines into a cancer prevention food plan.

PubMed

Masset, Gabriel; Monsivais, Pablo; Maillot, Matthieu; Darmon, Nicole; Drewnowski, Adam

2009-08-01

Mathematical diet optimization models are used to create food plans that best resemble current eating habits while meeting prespecified nutrition and cost constraints. This study used linear programming to generate food plans meeting the key 2007 dietary recommendations issued by the World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR). The models were constructed to minimize deviations in food intake between the observed and the WCRF/AICR-recommended diets. Consumption constraints were imposed to prevent food plans from including unreasonable amounts of food from a single group. Consumption norms for nutrients and food groups were taken from dietary intake data for a sample of adult men and women (n = 161) in the Pacific Northwest. Food plans meeting the WCRF/AICR dietary guidelines numbers 3-5 and 7 were lower in refined grains and higher in vegetables and fruits than the existing diets. For this group, achieving cancer prevention goals required little modification of existing diets and had minimal impact on diet quality and cost. By contrast, the need to meet all nutritional needs through diet alone (guideline no. 8) required a large food volume increase and dramatic shifts from the observed food intake patterns. Putting dietary guidelines into practice may require the creation of detailed food plans that are sensitive to existing consumption patterns and food costs. Optimization models provide an elegant mathematical solution that can help determine whether sets of dietary guidelines are achievable by diverse U.S. population subgroups.

Reducing discrepancies of personal goals in the context of cancer: A longitudinal study on the relation with well-being, psychological characteristics, and goal progress.

PubMed

Pama, Marlous R; Janse, Moniek; Sprangers, Mirjam A G; Fleer, Joke; Ranchor, Adelita V

2018-02-01

To (1) examine whether reducing discrepancies between goal importance and goal attainability is an adaptive predictor of well-being, (2) investigate intrusion, awareness, optimism, and pessimism as determinants of reducing discrepancies between goal importance and goal attainability, and (3) explore how goal progress is involved in reducing discrepancies between goal importance and goal attainability during two major periods after a colorectal cancer diagnosis. Prospective design. Newly diagnosed colorectal cancer patients (n = 120) were interviewed three times: within a month, 7 months (treatment period), and 18 months (follow-up period) post-diagnosis. Data were analysed using multiple regressions. Results showed that (1) reducing discrepancies enhances well-being, (2) optimism and pessimism are predictors of reducing discrepancies during the treatment period but not during the follow-up period, while intrusion and awareness do not predict reducing discrepancies in either period, and (3) goal progress is a predictor of reducing discrepancies during the follow-up period, but no evidence for a moderating or mediating role of goal progress in the relation between psychological characteristics and reducing discrepancies was found. Reducing discrepancies between goal importance and goal attainability could benefit colorectal cancer patients' well-being. Optimism, pessimism, and goal progress appear to influence cancer patients' ability to reduce discrepancies. Providing assistance in improving goal progress to those who are less optimistic and highly pessimistic may be a suitable training for cancer patients to prevent deterioration in well-being. Statement of contribution What is already known on this subject? More discrepancy between goal importance and goal attainability is associated with lower levels of well-being. People are able to change evaluations of importance and attainability, but it is unknown whether this positively impacts well-being. Underlying causes of differences in the extent to which discrepancies between goal importance and goal attainability are reduced are unknown. What does this study add? This is the first study to show that reducing discrepancies between goal importance and goal attainability is beneficial for well-being. This is the first study to show that optimism and pessimism are determinants of reducing discrepancies between goal importance and goal attainability. Goal progress might be an effective target for interventions that aim to facilitate one's ability to reduce discrepancies between goal importance and goal attainability. © 2017 The British Psychological Society.

Therapeutic cancer vaccines

PubMed Central

Melief, Cornelis J.M.; van Hall, Thorbald; Arens, Ramon; Ossendorp, Ferry; van der Burg, Sjoerd H.

2015-01-01

The clinical benefit of therapeutic cancer vaccines has been established. Whereas regression of lesions was shown for premalignant lesions caused by HPV, clinical benefit in cancer patients was mostly noted as prolonged survival. Suboptimal vaccine design and an immunosuppressive cancer microenvironment are the root causes of the lack of cancer eradication. Effective cancer vaccines deliver concentrated antigen to both HLA class I and II molecules of DCs, promoting both CD4 and CD8 T cell responses. Optimal vaccine platforms include DNA and RNA vaccines and synthetic long peptides. Antigens of choice include mutant sequences, selected cancer testis antigens, and viral antigens. Drugs or physical treatments can mitigate the immunosuppressive cancer microenvironment and include chemotherapeutics, radiation, indoleamine 2,3-dioxygenase (IDO) inhibitors, inhibitors of T cell checkpoints, agonists of selected TNF receptor family members, and inhibitors of undesirable cytokines. The specificity of therapeutic vaccination combined with such immunomodulation offers an attractive avenue for the development of future cancer therapies. PMID:26214521

Paclitaxel targets VEGF-mediated angiogenesis in ovarian cancer treatment

PubMed Central

Ai, Bin; Bie, Zhixin; Zhang, Shuai; Li, Ailing

2016-01-01

Ovarian cancer is one of the gynecologic cancers with the highest mortality, wherein vascular endothelial growth factor (VEGF) is involved in regulating tumor vascularization, growth, migration, and invasion. VEGF-mediated angiogenesis in tumors has been targeted in various cancer treatments, and anti-VEGF therapy has been used clinically for treatment of several types of cancer. Paclitaxel is a natural antitumor agent in the standard front-line treatment that has significant efficiency to treat advanced cancers, including ovarian cancer. Although platinum/paclitaxel-based chemotherapy has good response rates, most patients eventually relapse because the disease develops drug resistance. We aim to review the recent advances in paclitaxel treatment of ovarian cancer via antiangiogenesis. Single-agent therapy may be used in selected cases of ovarian cancer. However, to prevent drug resistance, drug combinations should be identified for optimal effectiveness and existing therapies should be improved. PMID:27648354

Barriers to overcome for effective cancer control in Africa.

PubMed

Harford, Joe B

2015-08-01

Cancer control in Africa is complicated due to large differences in cancer incidence between countries caused by differences in exposure to known risk factors. For example, substantial differences are seen when selected cancers in north Africa are compared with those in sub-Saharan Africa. In the future, population growth and demographic shifts are likely to have profound effects on the prevalence of cancer across the continent. Likewise, many factors outside of health care such as language differences, conflict, and poverty can affect cancer control efforts. Although cooperation in cancer control efforts is desirable, differences in cultural and geopolitical factors that characterise African countries and their populations, together with the sheer size of the continent, present unique challenges to effective cancer control. This Series paper discusses factors related to the size, diversity, and conditions within Africa that present barriers to optimal collaboration in cancer control efforts across the continent. Copyright © 2015 Elsevier Ltd. All rights reserved.

PD-1 or PD-L1 Blockade Restores Antitumor Efficacy Following SSX2 Epitope-Modified DNA Vaccine Immunization.

PubMed

Rekoske, Brian T; Smith, Heath A; Olson, Brian M; Maricque, Brett B; McNeel, Douglas G

2015-08-01

DNA vaccines have demonstrated antitumor efficacy in multiple preclinical models, but low immunogenicity has been observed in several human clinical trials. This has led to many approaches seeking to improve the immunogenicity of DNA vaccines. We previously reported that a DNA vaccine encoding the cancer-testis antigen SSX2, modified to encode altered epitopes with increased MHC class I affinity, elicited a greater frequency of cytolytic, multifunctional CD8(+) T cells in non-tumor-bearing mice. We sought to test whether this optimized vaccine resulted in increased antitumor activity in mice bearing an HLA-A2-expressing tumor engineered to express SSX2. We found that immunization of tumor-bearing mice with the optimized vaccine elicited a surprisingly inferior antitumor effect relative to the native vaccine. Both native and optimized vaccines led to increased expression of PD-L1 on tumor cells, but antigen-specific CD8(+) T cells from mice immunized with the optimized construct expressed higher PD-1. Splenocytes from immunized animals induced PD-L1 expression on tumor cells in vitro. Antitumor activity of the optimized vaccine could be increased when combined with antibodies blocking PD-1 or PD-L1, or by targeting a tumor line not expressing PD-L1. These findings suggest that vaccines aimed at eliciting effector CD8(+) T cells, and DNA vaccines in particular, might best be combined with PD-1 pathway inhibitors in clinical trials. This strategy may be particularly advantageous for vaccines targeting prostate cancer, a disease for which antitumor vaccines have demonstrated clinical benefit and yet PD-1 pathway inhibitors alone have shown little efficacy to date. ©2015 American Association for Cancer Research.

Impact of imaging approach on radiation dose and associated cancer risk in children undergoing cardiac catheterization.

PubMed

Hill, Kevin D; Wang, Chu; Einstein, Andrew J; Januzis, Natalie; Nguyen, Giao; Li, Jennifer S; Fleming, Gregory A; Yoshizumi, Terry K

2017-04-01

To quantify the impact of image optimization on absorbed radiation dose and associated risk in children undergoing cardiac catheterization. Various imaging and fluoroscopy system technical parameters including camera magnification, source-to-image distance, collimation, antiscatter grids, beam quality, and pulse rates, all affect radiation dose but have not been well studied in younger children. We used anthropomorphic phantoms (ages: newborn and 5 years old) to measure surface radiation exposure from various imaging approaches and estimated absorbed organ doses and effective doses (ED) using Monte Carlo simulations. Models developed in the National Academies' Biological Effects of Ionizing Radiation VII report were used to compare an imaging protocol optimized for dose reduction versus suboptimal imaging (+20 cm source-to-image-distance, +1 magnification setting, no collimation) on lifetime attributable risk (LAR) of cancer. For the newborn and 5-year-old phantoms, respectively ED changes were as follows: +157% and +232% for an increase from 6-inch to 10-inch camera magnification; +61% and +59% for a 20 cm increase in source-to-image-distance; -42% and -48% with addition of 1-inch periphery collimation; -31% and -46% with removal of the antiscatter grid. Compared with an optimized protocol, suboptimal imaging increased ED by 2.75-fold (newborn) and fourfold (5 years old). Estimated cancer LAR from 30-min of posteroanterior fluoroscopy using optimized versus suboptimal imaging, respectively was 0.42% versus 1.23% (newborn female), 0.20% versus 0.53% (newborn male), 0.47% versus 1.70% (5-year-old female) and 0.16% versus 0.69% (5-year-old male). Radiation-related risks to children undergoing cardiac catheterization can be substantial but are markedly reduced with an optimized imaging approach. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Regional process redesign of lung cancer care: a learning health system pilot project.

PubMed

Fung-Kee-Fung, M; Maziak, D E; Pantarotto, J R; Smylie, J; Taylor, L; Timlin, T; Cacciotti, T; Villeneuve, P J; Dennie, C; Bornais, C; Madore, S; Aquino, J; Wheatley-Price, P; Ozer, R S; Stewart, D J

2018-02-01

The Ottawa Hospital (toh) defined delay to timely lung cancer care as a system design problem. Recognizing the patient need for an integrated journey and the need for dynamic alignment of providers, toh used a learning health system (lhs) vision to redesign regional diagnostic processes. A lhs is driven by feedback utilizing operational and clinical information to drive system optimization and innovation. An essential component of a lhs is a collaborative platform that provides connectivity across silos, organizations, and professions. To operationalize a lhs, we developed the Ottawa Health Transformation Model (ohtm) as a consensus approach that addresses process barriers, resistance to change, and conflicting priorities. A regional Community of Practice (cop) was established to engage stakeholders, and a dedicated transformation team supported process improvements and implementation. The project operationalized the lung cancer diagnostic pathway and optimized patient flow from referral to initiation of treatment. Twelve major processes in referral, review, diagnostics, assessment, triage, and consult were redesigned. The Ottawa Hospital now provides a diagnosis to 80% of referrals within the provincial target of 28 days. The median patient journey from referral to initial treatment decreased by 48% from 92 to 47 days. The initiative optimized regional integration from referral to initial treatment. Use of a lhs lens enabled the creation of a system that is standardized to best practice and open to ongoing innovation. Continued transformation initiatives across the continuum of care are needed to incorporate best practice and optimize delivery systems for regional populations.

Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach

NASA Astrophysics Data System (ADS)

Wang, Chuang; Udupa, Jayaram K.; Tong, Yubing; Chen, Jerry; Venigalla, Sriram; Odhner, Dewey; Guzzo, Thomas J.; Christodouleas, John; Torigian, Drew A.

2018-02-01

Magnetic resonance imaging (MRI) is often used in clinical practice to stage patients with bladder cancer to help plan treatment. However, qualitative assessment of MR images is prone to inaccuracies, adversely affecting patient outcomes. In this paper, T2-weighted MR image-based quantitative features were extracted from the bladder wall in 65 patients with bladder cancer to classify them into two primary tumor (T) stage groups: group 1 - T stage < T2, with primary tumor locally confined to the bladder, and group 2 - T stage < T2, with primary tumor locally extending beyond the bladder. The bladder was divided into 8 sectors in the axial plane, where each sector has a corresponding reference standard T stage that is based on expert radiology qualitative MR image review and histopathologic results. The performance of the classification for correct assignment of T stage grouping was then evaluated at both the patient level and the sector level. Each bladder sector was divided into 3 shells (inner, middle, and outer), and 15,834 features including intensity features and texture features from local binary pattern and gray-level co-occurrence matrix were extracted from the 3 shells of each sector. An optimal feature set was selected from all features using an optimal biomarker approach. Nine optimal biomarker features were derived based on texture properties from the middle shell, with an area under the ROC curve of AUC value at the sector and patient level of 0.813 and 0.806, respectively.

Collusion in doctor-patient communication about imminent death

PubMed Central

The, Anne-Mei; Hak, Tony; Koëter, Gerard; Wal, Gerrit van der

2001-01-01

Objective To discover and explore the factors that result in the “false optimism about recovery” observed in patients with small cell lung cancer. Design A qualitative observational (ethnographic) study in 2 stages over 4 years. Setting Lung diseases ward and outpatient clinic in a university hospital in the Netherlands. Participants 35 patients with small cell lung cancer. Results False optimism about recovery usually developed during the first course of chemotherapy and was most prevalent when the cancer could no longer be seen on x-ray films. This optimism tended to vanish when the tumor recurred, but it could develop again, though to a lesser extent, during further courses of chemotherapy. Patients gradually found out the facts about their poor prognosis, partly by their physical deterioration and partly through contact with fellow patients in a more advanced stage of the illness who were dying. False optimism about recovery was the result of an association between physicians' activism and patients' adherence to the treatment calendar and to the “recovery plot,” which allowed them to avoid acknowledging explicitly what they should and could know. The physician did and did not want to pronounce a “death sentence,” and the patient did and did not want to hear it. Conclusion Solutions to the problem of collusion between physician and patient require an active, patient-oriented approach by the physician. Perhaps solutions have to be found outside the physician-patient relationship itself—for example, by involving “treatment brokers.” PMID:11290678

Development and optimization of transferrin-conjugated nanostructured lipid carriers for brain delivery of paclitaxel using Box-Behnken design.

PubMed

Emami, Jaber; Rezazadeh, Mahboubeh; Sadeghi, Hojjat; Khadivar, Khashayar

2017-05-01

The treatment of brain cancer remains one of the most difficult challenges in oncology. The purpose of this study was to develop transferrin-conjugated nanostructured lipid carriers (Tf-NLCs) for brain delivery of paclitaxel (PTX). PTX-loaded NLCs (PTX-NLCs) were prepared using solvent evaporation method and the impact of various formulation variables were assessed using Box-Behnken design. Optimized PTX-NLC was coupled with transferrin as targeting ligand and in vitro cytotoxicity of it was investigated against U-87 brain cancer cell line. As a result, 14.1 mg of cholesterol, 18.5 mg of triolein, and 0.5% poloxamer were used to prepare the optimal formulation. Mean particle size (PS), zeta potential (ZP), entrapment efficiency (EE), drug loading (DL), mean release time (MRT) of adopted formulation were confirmed to be 205.4 ± 11 nm, 25.7 ± 6.22 mV, 91.8 ± 0.5%, 5.38 ± 0.03% and 29.3 h, respectively. Following conjugation of optimized PTX-NLCs with transferrin, coupling efficiency was 21.3 mg transferrin per mmol of stearylamine; PS and MRT were increased while ZP, EE and DL decreased non-significantly. Tf-PTX-NLCs showed higher cytotoxic activity compared to non-targeted NLCs and free drug. These results indicated that the Tf-PTX-NLCs could potentially be exploited as a delivery system in brain cancer cells.

Statistical optimization of culture medium for production of exopolysaccharide from endophytic fungus Bionectria ochroleuca and its antitumor effect in vitro

PubMed Central

Li, Yun; Guo, Shoujun; Zhu, Hui

2016-01-01

Endophytic fungi have been recognized as possible useful sources of bioactive metabolites. However, exopolysaccharide (EPS) production from endophytic fungi and its antitumor activity have been less explored. In the present study, endophtic fungus Bionectria ochroleuca M21 was exploited for the production of EPS in submerged culture. Among tested medium components, glucose, yeast extract, MgSO4 and Tween80 were found to be effective and significant on EPS production. Response surface methodology (RSM) was employed to optimize medium composition. The results showed that the significant factors were glucose, yeast extract and Tween80. The optimal medium was observed at the composition of glucose 55.7 g/L, yeast extract 6.04 g/L, MgSO4 0.25g/L and Tween80 0.1 % (v/v). Using the optimized medium, EPS production was achieve at 2.65 ± 0.16 g/L after 4 days fermentation in a 5L bioreactor. Examination of cytotoxicity showed that the EPS from B. ochroleuca M21 did not have cytotoxic activity on human liver HL-7702 cells at concentration 0.025-1.6 mg/mL. In contrast, the EPS exhibited antiproliferative activities against cell lines of liver cancer (HepG2), gastric cancer (SGC-7901) and colon cancer (HT29) in a dose- and time-dependent manner in the concentration ranges of 0.1-0.45 mg/mL. PMID:27330527

Managing cancer risk and decision making after kidney transplantation.

PubMed

Webster, A C; Wong, G; Craig, J C; Chapman, J R

2008-11-01

Kidney transplant recipients are at higher risk of cancer at most sites, and cancer after transplantation causes considerable morbidity and mortality. To optimize long-term patient outcomes, clinicians balance the prospect of graft failure and dialysis, with competing risks of diabetes, cardiovascular and cerebrovascular disease and the risk of malignancy. In this paper we critically examine the assumptions underpinning primary prevention, immunization, chemoprevention and screening programs, and highlight considerations when applying evidence to the kidney transplant population, and suggest a clinical research agenda that aims to define a rational approach to managing posttransplant cancer risk.

Optimization in expression and purification of modified apoptin as selective anti-cancer therapy

NASA Astrophysics Data System (ADS)

Sahlan, Muhamad; Wiseso, Anggoro; Hermansyah, Heri; Yohda, Masafumi

2017-02-01

Cancer is a disease caused by abnormal growth of tissue cells of the body that turn into cancer cells. Apoptin from Chicken Anemia Virus is known to have the ability to trigger apoptosis in cancer cells in vitro and in vivo, but not in normal cells. The production of Apoptin was done on Escherichia coli via plasmid pET9a and modified to improve the efficiency and ease of purification using IMAC nickel, by adding a few tags and cleavage site. The expected result is modified Apoptin and evidence of proteins expressed through SDS-PAGE analysis.

External beam radiation therapy for clinically localized prostate cancer: when and how we optimize with concurrent hormonal deprivation.

PubMed

Koontz, Bridget F; Lee, W Robert

2011-10-01

Androgen deprivation plays a major role in the treatment of prostate cancer.Preclinical studies have shown that androgen deprivation provides both an independent cytotoxic effect and radiosensitization on prostate tumors. For men with non-metastatic prostate cancer, the addition of androgen deprivation to radiotherapy has been shown to improve survival for intermediate and high risk disease compared to radiation alone.This review discusses the clinical trial data regarding combination of androgen deprivation and radiation and provides recommendations for its use in men undergoing radiotherapy for localized prostate cancer.

Adjuvant vaginal brachytherapy as a part of management in early endometrial cancer.

PubMed

Kellas-Ślęczka, Sylwia; Wojcieszek, Piotr; Białas, Brygida

2012-12-01

Endometrial cancer is the most frequent cancer of female genital tract. Metro- and menorrhagia or postmenopausal bleeding results in its early presentation. It allows radical treatment. However, controversies remain on surgery coverage or adjuvant therapies in early endometrial women cancer. Optimal management should minimize intervention instead of aggressive approach, as showed by recent studies. There is a role for brachytherapy as an adjuvant irradiation. Crucial publications including PORTEC-1, GOG 99, MRC ASTEC, ASTEC/EN.5, PORTEC-2 or Italian lymphadenectomy trial are discussed. Moreover, there is attention paid on adjuvant vaginal brachytherapy analyses for the past fifteen years.

Sativex oromucosal spray as adjunctive therapy in advanced cancer patients with chronic pain unalleviated by optimized opioid therapy: two double-blind, randomized, placebo-controlled phase 3 studies.

PubMed

Fallon, Marie T; Albert Lux, Eberhard; McQuade, Robert; Rossetti, Sandro; Sanchez, Raymond; Sun, Wei; Wright, Stephen; Lichtman, Aron H; Kornyeyeva, Elena

2017-08-01

Opioids are critical for managing cancer pain, but may provide inadequate relief and/or unacceptable side effects in some cases. To assess the analgesic efficacy of adjunctive Sativex (Δ 9 -tetrahydrocannabinol (27 mg/mL): cannabidiol (25 mg/mL)) in advanced cancer patients with chronic pain unalleviated by optimized opioid therapy. This report describes two phase 3, double-blind, randomized, placebo-controlled trials. Eligible patients had advanced cancer and average pain numerical rating scale (NRS) scores ≥4 and ≤8 at baseline, despite optimized opioid therapy. In Study-1, patients were randomized to Sativex or placebo, and then self-titrated study medications over a 2-week period per effect and tolerability, followed by a 3-week treatment period. In Study-2, all patients self-titrated Sativex over a 2-week period. Patients with a ≥15% improvement from baseline in pain score were then randomized 1:1 to Sativex or placebo, followed by 5-week treatment period (randomized withdrawal design). The primary efficacy endpoint (percent improvement (Study-1) and mean change (Study-2) in average daily pain NRS scores) was not met in either study. Post hoc analyses of the primary endpoints identified statistically favourable treatment effect for Sativex in US patients <65 years (median treatment difference: 8.8; 95% confidence interval (CI): 0.00-17.95; p = 0.040) that was not observed in patients <65 years from the rest of the world (median treatment difference: 0.2; 95% CI: -5.00 to 7.74; p = 0.794). Treatment effect in favour of Sativex was observed on quality-of-life questionnaires, despite the fact that similar effects were not observed on NRS score. The safety profile of Sativex was consistent with earlier studies, and no evidence of abuse or misuse was identified. Sativex did not demonstrate superiority to placebo in reducing self-reported pain NRS scores in advanced cancer patients with chronic pain unalleviated by optimized opioid therapy, although further exploration of differences between United States and patients from the rest of the world is warranted.

What is the role of retroperitoneal exploration in optimally debulked stage IIIC epithelial ovarian cancer? An NRG Oncology/Gynecologic Oncology Group ancillary data study.

PubMed

Rungruang, Bunja J; Miller, Austin; Krivak, Thomas C; Horowitz, Neil S; Rodriguez, Noah; Hamilton, Chad A; Backes, Floor J; Carson, Linda F; Friedlander, Michael; Mutch, David G; Goodheart, Michael J; Tewari, Krishnansu S; Wenham, Robert M; Bookman, Michael A; Maxwell, G Larry; Richard, Scott D

2017-05-15

The purpose of this study was to determine the effect of retroperitoneal (RP) exploration on progression-free survival (PFS) and overall survival (OS) in epithelial ovarian cancer (EOC) patients with stage IIIC disease who underwent optimal debulking surgery. Data were collected from records of the Gynecologic Oncology Group 182 (GOG-182) study of stage IIIC EOC patients cytoreduced to no gross residual disease (R0) or minimal gross residual (<1 cm) disease (MGRD) at primary surgery. Patients with stage IIIC disease by intraperitoneal (IP) tumor were included and divided into 3 groups: 1) > 2 cm IP tumor without lymph node involvement (IP/RP-), 2) > 2 cm IP tumor with lymph node involvement (IP/RP+), and 3) > 2 cm IP tumor with no RP exploration (IP/RP?). The effects of disease distribution and RP exploration on PFS and OS were assessed using Kaplan-Meier and proportional hazards methods. There were 1871 stage IIIC patients in GOG-182 who underwent optimal primary debulking surgery. Of these, 689 (36.8%) underwent RP exploration with removal of lymph nodes from at least 1 para-aortic site, and 1182 (63.2%) did not. There were 269 patients in the IP/RP- group, 420 patients in the IP/RP + group, and 1182 patients in the IP/RP? group. Improved PFS (18.5 vs 16.0 months; P < .0001) and OS (53.3 vs 42.8 months; P < .0001) were associated with RP exploration versus no exploration. Patients with MGRD had improved PFS (16.8 vs 15.1 months, P = 0.0108) and OS (44.9 vs 40.5 months, P = 0.0076) versus no exploration. RP exploration at the time of primary surgery in patients with optimally debulked stage IIIC EOC is associated with a survival benefit. Cancer 2017;123:985-93. © 2016 American Cancer Society. © 2016 American Cancer Society.

Optimism and barriers to colonoscopy in low-income Latinos at average risk for colorectal cancer.

PubMed

Efuni, Elizaveta; DuHamel, Katherine N; Winkel, Gary; Starr, Tatiana; Jandorf, Lina

2015-09-01

Colorectal cancer (CRC) screening continues to be underused, particularly by Latinos. CRC and colonoscopy fear, worry, and fatalism have been identified as screening barriers in Latinos. The study purpose was to examine the relationship of optimism, fatalism, worry, and fear in the context of Latinos referred for CRC screening. Our sample included 251 Latinos between the ages of 50 and 83 years who had no personal or immediate family history of CRC, no personal history of gastrointestinal disorder, no colonoscopy in the past 5 years, and received a referral for a colonoscopy. Face-to-face interviews were performed, and data were analyzed using regression models. Greater optimism (β = -1.72, p < 0.000), lower fatalism (β = 0.29, p < 0.01), and absence of family history of cancer (β = 1, p < 0.01) were associated with decreased worry about the colonoscopy. Being female (β = 0.85, p < 0.05) and born in the USA (β = 1.1, p < 0.01) were associated with greater worry about colonoscopy and the possibility of having CRC. Family history of cancer (β = 2.6, p < 0.01), female gender (β = 2.9, p < 0.000), not following the doctor's advice (β = 2.7, p < 0.01), and putting off medical problems (β = 1.9, p < 0.05) were associated with greater fear. In the multiple regression model, lower optimism (β = -0.09, p < 0.05), higher fatalism (β = 0.28, p < 0.01), and female gender (β = 0.9, p < 0.05) were associated with greater worry. Interventions that address fatalism and promote optimistic beliefs may reduce worry among Latinos referred for colonoscopy. Interventions that alleviate colonoscopy fear because of family history of cancer particularly among Latino women may help improve distress about CRC screening. Copyright © 2014 John Wiley & Sons, Ltd.

Optimizing colorectal cancer screening by race and sex: Microsimulation analysis II to inform the American Cancer Society colorectal cancer screening guideline.

PubMed

Meester, Reinier G S; Peterse, Elisabeth F P; Knudsen, Amy B; de Weerdt, Anne C; Chen, Jennifer C; Lietz, Anna P; Dwyer, Andrea; Ahnen, Dennis J; Siegel, Rebecca L; Smith, Robert A; Zauber, Ann G; Lansdorp-Vogelaar, Iris

2018-05-30

Colorectal cancer (CRC) risk varies by race and sex. This study, 1 of 2 microsimulation analyses to inform the 2018 American Cancer Society CRC screening guideline, explored the influence of race and sex on optimal CRC screening strategies. Two Cancer Intervention and Surveillance Modeling Network microsimulation models, informed by US incidence data, were used to evaluate a variety of screening methods, ages to start and stop, and intervals for 4 demographic subgroups (black and white males and females) under 2 scenarios for the projected lifetime CRC risk for 40-year-olds: 1) assuming that risk had remained stable since the early screening era and 2) assuming that risk had increased proportionally to observed incidence trends under the age of 40 years. Model-based screening recommendations were based on the predicted level of benefit (life-years gained) and burden (required number of colonoscopies), the incremental burden-to-benefit ratio, and the relative efficiency in comparison with strategies with similar burdens. When lifetime CRC risk was assumed to be stable over time, the models differed in the recommended age to start screening for whites (45 vs 50 years) but consistently recommended screening from the age of 45 years for blacks. When CRC risk was assumed to be increased, the models recommended starting at the age of 45 years, regardless of race and sex. Strategies recommended under both scenarios included colonoscopy every 10 or 15 years, annual fecal immunochemical testing, and computed tomographic colonography every 5 years through the age of 75 years. Microsimulation modeling suggests that CRC screening should be considered from the age of 45 years for blacks and for whites if the lifetime risk has increased proportionally to the incidence for younger adults. Cancer 2018. © 2018 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. © 2018 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society.

Optimal cutoffs of obesity measures in relation to cancer risk in postmenopausal women in the Women's Health Initiative Study.

PubMed

Heo, Moonseong; Kabat, Geoffrey C; Strickler, Howard D; Lin, Juan; Hou, Lifang; Stefanick, Marcia L; Anderson, Garnet L; Rohan, Thomas E

2015-03-01

Obesity is a risk factor for several cancers in postmenopausal women. We attempted to determine cutoffs of adiposity measures in relation to risk of obesity-related cancers among postmenopausal women and to examine the effects of hormone therapy (HT) use on the cutoffs, neither of which has been broadly studied. We used data from the Women's Health Initiative cohort (n=144,701) and applied Cox-proportional hazards regressions to each combination of 17 cancer types and 6 anthropometric measures (weight, body mass index [BMI], weight to height ratio, waist circumference, waist to hip ratio [WHR], and waist to height ratio). Interactions between the anthropometric measures and HT use were also examined. Cutoffs were determined by applying a grid search followed by a two-fold cross validation method. Survival ROC analysis of 5- and 10-year incidence followed. Breast, colorectal, colon, endometrium, kidney, and all cancers combined were significantly positively associated with all six anthropometric measures, whereas lung cancer among ever smokers was significantly inversely associated with all measures except WHR. The derived cutoffs of each obesity measure varied across cancers (e.g., BMI cutoffs for breast and endometrium cancers were 30 kg/m(2) and 34 kg/m(2), respectively), and also depended on HT use. The Youden indices of the cutoffs for predicting 5- and 10-year cancer incidence were higher among HT never users. Using a panel of different anthropometric measures, we derived optimal cut-offs categorizing populations into high- and low-risk groups, which differed by cancer type and HT use. Although the discrimination abilities of these risk categories were generally poor, the results of this study could serve as a starting point from which to determine adiposity cutoffs for inclusion in risk prediction models for specific cancer types.

The International Association for the Study of Lung Cancer Consensus Statement on Optimizing Management of EGFR Mutation-Positive Non-Small Cell Lung Cancer: Status in 2016.

PubMed

Tan, Daniel S W; Yom, Sue S; Tsao, Ming S; Pass, Harvey I; Kelly, Karen; Peled, Nir; Yung, Rex C; Wistuba, Ignacio I; Yatabe, Yasushi; Unger, Michael; Mack, Philip C; Wynes, Murry W; Mitsudomi, Tetsuya; Weder, Walter; Yankelevitz, David; Herbst, Roy S; Gandara, David R; Carbone, David P; Bunn, Paul A; Mok, Tony S K; Hirsch, Fred R

2016-07-01

Mutations in the epidermal growth factor receptor gene (EGFR) represent one of the most frequent "actionable" alterations in non-small cell lung cancer (NSCLC). Typified by high response rates to targeted therapies, EGFR tyrosine kinase inhibitors (TKIs) are now established first-line treatment options and have transformed the treatment paradigm for NSCLC. With the recent breakthrough designation and approval of the third-generation EGFR TKI osimertinib, available systemic and local treatment options have expanded, requiring new clinical algorithms that take into account individual patient molecular and clinical profiles. In this International Association for the Study of Lung Cancer commissioned consensus statement, key pathologic, diagnostic, and therapeutic considerations, such as optimal choice of EGFR TKI and management of brain metastasis, are discussed. In addition, recommendations are made for clinical guidelines and research priorities, such as the role of repeat biopsies and use of circulating free DNA for molecular studies. With the rapid pace of progress in treating EGFR-mutant NSCLC, this statement provides a state-of-the-art review of the contemporary issues in managing this unique subgroup of patients. Copyright © 2016 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.

PubMed

Wang, Rui; Li, Rui; Lei, Yanyan; Zhu, Quing

2015-01-01

Support vector machine (SVM) is one of the most effective classification methods for cancer detection. The efficiency and quality of a SVM classifier depends strongly on several important features and a set of proper parameters. Here, a series of classification analyses, with one set of photoacoustic data from ovarian tissues ex vivo and a widely used breast cancer dataset- the Wisconsin Diagnostic Breast Cancer (WDBC), revealed the different accuracy of a SVM classification in terms of the number of features used and the parameters selected. A pattern recognition system is proposed by means of SVM-Recursive Feature Elimination (RFE) with the Radial Basis Function (RBF) kernel. To improve the effectiveness and robustness of the system, an optimized tuning ensemble algorithm called as SVM-RFE(C) with correlation filter was implemented to quantify feature and parameter information based on cross validation. The proposed algorithm is first demonstrated outperforming SVM-RFE on WDBC. Then the best accuracy of 94.643% and sensitivity of 94.595% were achieved when using SVM-RFE(C) to test 57 new PAT data from 19 patients. The experiment results show that the classifier constructed with SVM-RFE(C) algorithm is able to learn additional information from new data and has significant potential in ovarian cancer diagnosis.

Culture in embryonic kidney serum and xeno-free media as renal cell carcinoma and renal cell carcinoma cancer stem cells research model.

PubMed

Krawczyk, Krzysztof M; Matak, Damian; Szymanski, Lukasz; Szczylik, Cezary; Porta, Camillo; Czarnecka, Anna M

2018-04-01

The use of fetal bovine serum hinders obtaining reproducible experimental results and should also be removed in hormone and growth factor studies. In particular hormones found in FBS act globally on cancer cell physiology and influence transcriptome and metabolome. The aim of our study was to develop a renal carcinoma serum free culture model optimized for (embryonal) renal cells in order to select the best study model for downstream auto-, para- or endocrine research. Secondary aim was to verify renal carcinoma stem cell culture for this application. In the study, we have cultured renal cell carcinoma primary tumour cell line (786-0) as well as human kidney cancer stem cells in standard 2D monolayer cultures in Roswell Park Memorial Institute Medium or Dulbecco's Modified Eagle's Medium and Complete Human Kidney Cancer Stem Cell Medium, respectively. Serum-free, animal-component free Human Embryonic Kidney 293 media were tested. Our results revealed that xeno-free embryonal renal cells optimized culture media provide a useful tool in RCC cancer biology research and at the same time enable effective growth of RCC. We propose bio-mimic RCC cell culture model with specific serum-free and xeno-free medium that promote RCC cell viability.

Preoperative therapy in locally advanced esophageal cancer.

PubMed

Garg, Pankaj Kumar; Sharma, Jyoti; Jakhetiya, Ashish; Goel, Aakanksha; Gaur, Manish Kumar

2016-10-21

Esophageal cancer is an aggressive malignancy associated with dismal treatment outcomes. Presence of two distinct histopathological types distinguishes it from other gastrointestinal tract malignancies. Surgery is the cornerstone of treatment in locally advanced esophageal cancer (T2 or greater or node positive); however, a high rate of disease recurrence (systemic and loco-regional) and poor survival justifies a continued search for optimal therapy. Various combinations of multimodality treatment (preoperative/perioperative, or postoperative; radiotherapy, chemotherapy, or chemoradiotherapy) are being explored to lower disease recurrence and improve survival. Preoperative therapy followed by surgery is presently considered the standard of care in resectable locally advanced esophageal cancer as postoperative treatment may not be feasible for all the patients due to the morbidity of esophagectomy and prolonged recovery time limiting the tolerance of patient. There are wide variations in the preoperative therapy practiced across the centres depending upon the institutional practices, availability of facilities and personal experiences. There is paucity of literature to standardize the preoperative therapy. Broadly, chemoradiotherapy is the preferred neo-adjuvant modality in western countries whereas chemotherapy alone is considered optimal in the far East. The present review highlights the significant studies to assist in opting for the best evidence based preoperative therapy (radiotherapy, chemotherapy or chemoradiotherapy) for locally advanced esophageal cancer.

Choosing the optimal method in programmatic colorectal cancer screening: current evidence and controversies

PubMed Central

2015-01-01

Colorectal cancer (CRC) is an important health problem all over the world, being the third most common cancer and the second leading cause of cancer-related death in Western countries. The most important strategy for CRC prevention is screening (i.e. secondary prevention). Since it is widely accepted that adenomas and serrated polyps are the precursors of the vast majority of CRC, early detection and removal of these lesions is associated with a reduction of CRC incidence and, consequently, mortality. Moreover, cancers detected by screening are usually diagnosed at early stages and, therefore, curable by endoscopic or surgical procedures. This review will be address CRC screening strategies in average-risk population, which is defined by those individuals, men and women, 50 years of age or older, without any additional personal or familial predisposing risk factor. In order to maximize the impact of screening and ensure high coverage and equity of access, only organized screening programs (i.e. programmatic screening) should be implemented, as opposed to case-finding or opportunistic screening. For that reason and considering that the optimal approach for colorectal screening may differ depending on the scenario, this review will be focused on the advantages and limitations of each screening strategy in an organized setting. PMID:26136839

Optimal screening interval for men with low baseline prostate-specific antigen levels (≤1.0 ng/mL) in a prostate cancer screening program.

PubMed

Urata, Satoko; Kitagawa, Yasuhide; Matsuyama, Satoko; Naito, Renato; Yasuda, Kenji; Mizokami, Atsushi; Namiki, Mikio

2017-04-01

To optimize the rescreening schedule for men with low baseline prostate-specific antigen (PSA) levels, we evaluated men with baseline PSA levels of ≤1.0 ng/mL in PSA-based population screening. We enrolled 8086 men aged 55-69 years with baseline PSA levels of ≤1.0 ng/mL, who were screened annually. The relationships of baseline PSA and age with the cumulative risks and clinicopathological features of screening-detected cancer were investigated. Among the 8086 participants, 28 (0.35 %) and 18 (0.22 %) were diagnosed with prostate cancer and cancer with a Gleason score (GS) of ≥7 during the observation period, respectively. The cumulative probabilities of prostate cancer at 12 years were 0.42, 1.0, 3.4, and 4.3 % in men with baseline PSA levels of 0.0-0.4, 0.5-0.6, 0.7-0.8, and 0.9-1.0 ng/mL, respectively. Those with GS of ≥7 had cumulative probabilities of 0.42, 0.73, 2.8, and 1.9 %, respectively. The cumulative probabilities of prostate cancer were significantly lower when baseline PSA levels were 0.0-0.6 ng/mL compared with 0.7-1.0 ng/mL. Prostate cancer with a GS of ≥7 was not detected during the first 10 years of screening when baseline PSA levels were 0.0-0.6 ng/mL and was not detected during the first 2 years when baseline PSA levels were 0.7-1.0 ng/mL. Our study demonstrated that men with baseline PSA levels of 0.0-0.6 ng/mL might benefit from longer screening intervals than those recommended in the guidelines of the Japanese Urological Association. Further investigation is needed to confirm the optimal screening interval for men with low baseline PSA levels.

The number of cycles of neoadjuvant chemotherapy is associated with prognosis of stage IIIc-IV high-grade serous ovarian cancer.

PubMed

Xu, Xia; Deng, Fei; Lv, Mengmeng; Chen, Xiaoxiang

2017-02-01

No consensus exists on the number of chemotherapy cycles to be administered before and after interval debulking surgery (IDS) in patients with advanced stage epithelial ovarian cancer. The present study aims to explore the optimal number of cycles of neoadjuvant chemotherapy (NAC) and post-operation chemotherapy to treat the International Federation of Gynecology and Obstetrics stage IIIc-IV high-grade serous ovarian cancer (HG-SOC). A total of 129 IIIc-IV stage HG-SOC cases were retrospectively analyzed. Cases were comprised of patients who underwent NAC followed by IDS and who achieved clinical complete response (CCR) at the end of primary therapy. Patients were recruited from the Jiangsu Institute of Cancer Research between 1993 and 2013. Optimal IDS-associated factors were explored with logistic regression. The association between progression-free survival (PFS), overall survival (OS) duration, and covariates was assessed by Cox proportional hazards model and log-rank test. The median number of NAC cycle was 3 (range 1-8). CA-125 decreasing kinetics (p = 0.01) was independently associated with optimal IDS. CA-125 decreasing kinetics, optimal IDS, and NAC cycles was independently associated with OS (p < 0.01, p < 0.01, p = 0.03, respectively) and PFS (p < 0.01, p < 0.01, p = 0.04, respectively). The PFS of patients who underwent ≥5 NAC cycles was shorter than those of patients who underwent <5 NAC cycles (12.3 versus 17.2 months). The PFS and OS of patients who underwent <5 cycles of adjuvant chemotherapy post-IDS were shorter than those of patients who underwent ≥5 cycles (14.2 and 20.3 versus 21.2 and 28.8 months). NAC cycles, CA-125 decreasing kinetics, and optimal debulking are independently associated with the prognosis of patients with advanced stage HG-SOC who underwent NAC/IDS and achieved CCR. The number of administered NAC cycles should not exceed 4.

Adults surviving lung cancer two or more years: A systematic review.

PubMed

Rhea, Deborah J; Lockwood, Suzy

Lung cancer has had a low survival rate throughout the years. Some studies have shown that psychological variables such as hardiness and resiliency may play a role in the meaningfulness of survival among lung cancer patients. The objective of this systematic review was to synthesize the best available evidence on the experiences of surviving lung cancer (including psychological/affective well-being dimensions such as resiliency, optimism, quality of life, and coping strategies) in adults over the age of 18, two or more years after diagnosis. The review considered adults (18 years and older) who have survived lung cancer two or more years post diagnosis.The review included studies that examined the experiences (including psychological/affective well-being dimensions such as resiliency, optimism, quality of life, and coping strategies) of surviving lung cancer two or more years post diagnosis.The review considered patients' experiences of surviving lung cancer post two years diagnosis, including the examination of specific psychological/affective well-being aspects such as resiliency, optimism, quality of life and coping strategies.The review included quantitative descriptive studies and qualitative studies. A search for published and unpublished studies in English language from January 1999 through December 2010 was undertaken in multiple databases including MEDLINE, CINAHL, ProQuest and Psyc INFO. Assessment of methodological quality of studies was undertaken using critical appraisal tools from the Joanna Briggs Institute. Data was extracted using the Joanna Briggs Institute Data Extraction forms. Results were presented in a narrative format as the synthesis of qualitative or quantitative data was not appropriate. 13 studies were included in the review: one mixed methods study (including a qualitative research component) and 12 quantitative studies.The qualitative component of the included mixed methods study identified five findings related to the meaningfulness of surviving lung cancer post two years. The central themes that emerged were existential issues, health and self-care, physical ability, adjustment, and support.Quantitative studies identified that distressed groups had less meaningful experiences related to lung cancer survival than not distressed groups. The studies also found that emotional states and style of coping were related to the meaningfulness of lung cancer survival. With less emotional distress, seeing the good in everything, adjusting life to fit the changes from lung cancer, and adding physical activity to the daily routine, the life of a lung cancer survivor can be more meaningful. Healthcare providers must assess lung cancer survivors for potential symptom clusters affecting key patient outcomes such as quality of life. Consider introducing interventions to promote light to moderate physical activity in older patients and moderate to vigorous physical activity in younger patients, and ceasing smoking. Teach active coping strategies. There is a need for qualitative research studies exploring the experiences of lung cancer survivors. Further research is recommended on symptom clusters that might impact outcomes such as quality of life.

Optimization of dual energy contrast enhanced breast tomosynthesis for improved mammographic lesion detection and diagnosis

NASA Astrophysics Data System (ADS)

Saunders, R.; Samei, E.; Badea, C.; Yuan, H.; Ghaghada, K.; Qi, Y.; Hedlund, L. W.; Mukundan, S.

2008-03-01

Dual-energy contrast-enhanced breast tomosynthesis has been proposed as a technique to improve the detection of early-stage cancer in young, high-risk women. This study focused on optimizing this technique using computer simulations. The computer simulation used analytical calculations to optimize the signal difference to noise ratio (SdNR) of resulting images from such a technique at constant dose. The optimization included the optimal radiographic technique, optimal distribution of dose between the two single-energy projection images, and the optimal weighting factor for the dual energy subtraction. Importantly, the SdNR included both anatomical and quantum noise sources, as dual energy imaging reduces anatomical noise at the expense of increases in quantum noise. Assuming a tungsten anode, the maximum SdNR at constant dose was achieved for a high energy beam at 49 kVp with 92.5 μm copper filtration and a low energy beam at 49 kVp with 95 μm tin filtration. These analytical calculations were followed by Monte Carlo simulations that included the effects of scattered radiation and detector properties. Finally, the feasibility of this technique was tested in a small animal imaging experiment using a novel iodinated liposomal contrast agent. The results illustrated the utility of dual energy imaging and determined the optimal acquisition parameters for this technique. This work was supported in part by grants from the Komen Foundation (PDF55806), the Cancer Research and Prevention Foundation, and the NIH (NCI R21 CA124584-01). CIVM is a NCRR/NCI National Resource under P41-05959/U24-CA092656.

Castration-resistant Prostate Cancer: Preservation of Quality of Life and Well-being.

PubMed

Rosario, Derek J; Greasley, Rosa; Bourke, Liam

2016-12-01

Managing optimal health in castrate-resistant prostate cancer is a complex clinical challenge. Quality of life should be assessed with disease-specific validated tools and can be used in clinical practice to assist in considering management options. Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Cognitive Adaptation Theory and Breast Cancer Recurrence: Are There Limits?

ERIC Educational Resources Information Center

Tomich, Patricia L.; Helgeson, Vicki S.

2006-01-01

Relations of the components of cognitive adaptation theory (self-esteem, optimism, control) to quality of life and benefit finding were examined for 70 women (91% Caucasian) diagnosed with Stage I, II, or III breast cancer over 5 years ago. Half of these women experienced a recurrence within the 5 years; the other half remained disease free. Women…

Developmental Perspectives on Optimizing Educational and Vocational Outcomes in Child and Adult Survivors of Cancer

ERIC Educational Resources Information Center

Rey-Casserly, Celiane; Meadows, Mary Ellen

2008-01-01

Over the last few decades, long-term survival rates of children diagnosed with the two most common forms of childhood cancer, acute lymphoblastic leukemia (ALL) and brain tumors have improved substantially. Neurodevelopmental and psychosocial sequelae resulting from these diseases and their treatment have a direct impact on the developing brain…

MATWIN: bridging the gap between academic research and industry.

PubMed

Reiffers, Josy; Robert, Lucia

2015-09-16

MATWIN (Maturation and Accelerating Translation With INdustry) is part of the nationwide effort to support cancer innovation. This unique program is willing to support innovative research projects providing tools, resources, and staff dedicated to project leaders wishing to optimize the industrial attractiveness of their project. The overall objective is clear: fight cancer always more effectively.

On the MTD paradigm and optimal control for multi-drug cancer chemotherapy.

PubMed

Ledzewicz, Urszula; Schättler, Heinz; Gahrooi, Mostafa Reisi; Dehkordi, Siamak Mahmoudian

2013-06-01

In standard chemotherapy protocols, drugs are given at maximum tolerated doses (MTD) with rest periods in between. In this paper, we briey discuss the rationale behind this therapy approach and, using as example multidrug cancer chemotherapy with a cytotoxic and cytostatic agent, show that these types of protocols are optimal in the sense of minimizing a weighted average of the number of tumor cells (taken both at the end of therapy and at intermediate times) and the total dose given if it is assumed that the tumor consists of a homogeneous population of chemotherapeutically sensitive cells. A 2-compartment linear model is used to model the pharmacokinetic equations for the drugs.

Optimizing oncology therapeutics through quantitative translational and clinical pharmacology: challenges and opportunities.

PubMed

Venkatakrishnan, K; Friberg, L E; Ouellet, D; Mettetal, J T; Stein, A; Trocóniz, I F; Bruno, R; Mehrotra, N; Gobburu, J; Mould, D R

2015-01-01

Despite advances in biomedical research that have deepened our understanding of cancer hallmarks, resulting in the discovery and development of targeted therapies, the success rates of oncology drug development remain low. Opportunities remain for objective dose selection informed by exposure-response understanding to optimize the benefit-risk balance of novel therapies for cancer patients. This review article discusses the principles and applications of modeling and simulation approaches across the lifecycle of development of oncology therapeutics. Illustrative examples are used to convey the value gained from integration of quantitative clinical pharmacology strategies from the preclinical-translational phase through confirmatory clinical evaluation of efficacy and safety. © 2014 American Society for Clinical Pharmacology and Therapeutics.

A standardized staining protocol for L1CAM on formalin-fixed, paraffin-embedded tissues using automated platforms.

PubMed

Fogel, Mina; Harari, Ayelet; Müller-Holzner, Elisabeth; Zeimet, Alain G; Moldenhauer, Gerhard; Altevogt, Peter

2014-06-25

The L1 cell adhesion molecule (L1CAM) is overexpressed in many human cancers and can serve as a biomarker for prognosis in most of these cancers (including type I endometrial carcinomas). Here we provide an optimized immunohistochemical staining procedure for a widely used automated platform (VENTANA™), which has recourse to commercially available primary antibody and detection reagents. In parallel, we optimized the staining on a semi-automated BioGenix (i6000) 
immunostainer. These protocols yield good stainings and should represent the basis for a reliable and standardized immunohistochemical detection of L1CAM in a variety of malignancies in different laboratories.

Parametric PET/MR Fusion Imaging to Differentiate Aggressive from Indolent Primary Prostate Cancer with Application for Image-Guided Prostate Cancer Biopsies

DTIC Science & Technology

2014-10-01

Unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT The study investigates whether fusion PET/MRI imaging with 18F- choline PET/CT and...imaging with 18F- choline PET/CT and diffusion-weighted MRI can be successfully applied to target prostate cancer using image-guided prostate...Completed task. The 18F- choline synthesis was implemented and optimized for routine radiotracer production. RDRC committee approval as part of the IRB

Risk communication and decision-making in the prevention of invasive breast cancer.

PubMed

Partridge, Ann H

2017-08-01

Risk communication surrounding the prevention of invasive breast cancer entails not only understanding of the disease, risks and opportunities for intervention. But it also requires understanding and implementation of optimal strategies for communication with patients who are making these decisions. In this article, available evidence for the issues surrounding risk communication and decision making in the prevention of invasive breast cancer are reviewed and strategies for improvement are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Gompertzian stochastic model with delay effect to cervical cancer growth

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mazlan, Mazma Syahidatul Ayuni binti; Rosli, Norhayati binti; Bahar, Arifah

2015-02-03

In this paper, a Gompertzian stochastic model with time delay is introduced to describe the cervical cancer growth. The parameters values of the mathematical model are estimated via Levenberg-Marquardt optimization method of non-linear least squares. We apply Milstein scheme for solving the stochastic model numerically. The efficiency of mathematical model is measured by comparing the simulated result and the clinical data of cervical cancer growth. Low values of Mean-Square Error (MSE) of Gompertzian stochastic model with delay effect indicate good fits.

Breast Cancer Epidemiology in Gulf Cooperation Council Countries: A Regional and International Comparison.

PubMed

Albeshan, Salman M; Mackey, Martin G; Hossain, Syeda Z; Alfuraih, Abdulrahman A; Brennan, Patrick C

2017-07-13

Breast cancer is the most frequently diagnosed noncutaneous malignancy in women living in Gulf Cooperation Council countries. The present report aimed to highlight the similarities and variations in breast cancer incidence, age at diagnosis, clinicopathologic features, molecular characteristics, and lifestyle factors that contribute to an increasing incidence of breast cancer compared with neighboring Arab and westernized countries. The data presented, although having important implications for policy makers, also highlights the need for further research. Such research would ensure that effective prevention and detection strategies are tailored to the specific needs of the Gulf women such that the management of breast cancer is optimized. Copyright © 2017 Elsevier Inc. All rights reserved.

Rapid isolation of cancer cells using microfluidic deterministic lateral displacement structure.

PubMed

Liu, Zongbin; Huang, Fei; Du, Jinghui; Shu, Weiliang; Feng, Hongtao; Xu, Xiaoping; Chen, Yan

2013-01-01

This work reports a microfluidic device with deterministic lateral displacement (DLD) arrays allowing rapid and label-free cancer cell separation and enrichment from diluted peripheral whole blood, by exploiting the size-dependent hydrodynamic forces. Experiment data and theoretical simulation are presented to evaluate the isolation efficiency of various types of cancer cells in the microfluidic DLD structure. We also demonstrated the use of both circular and triangular post arrays for cancer cell separation in cell solution and blood samples. The device was able to achieve high cancer cell isolation efficiency and enrichment factor with our optimized design. Therefore, this platform with DLD structure shows great potential on fundamental and clinical studies of circulating tumor cells.

Buccal Epithelium, Cigarette Smoking, and Lung Cancer: Review of the Literature.

PubMed

Saba, Raya; Halytskyy, Oleksandr; Saleem, Nasir; Oliff, Ira A

2017-01-01

Lung cancer is currently the leading cause of cancer-related mortality among men and women in the United States, and optimal screening methods are still lacking. The field effect is a well-supported phenomenon wherein a noxious stimulus triggers genetic, epigenetic and molecular changes that are widespread throughout the entire exposed organ system. The buccal epithelium is an easily accessible part of the respiratory tree that has good potential of yielding a surrogate marker for the field effect in cigarette smokers, and thus, a noninvasive, reliable lung cancer screening method. Herein, we review the literature on the relationship between the buccal epithelium, cigarette smoking, and lung cancer. © 2017 S. Karger AG, Basel.

Emerging Vaccine Therapy Approaches for Prostate Cancer

PubMed Central

Sonpavde, Guru; Slawin, Kevin M; Spencer, David M; Levitt, Jonathan M

2010-01-01

Prostate cancer vaccines attempt to induce clinically relevant, cancer-specific systemic immune responses in patients with prostate cancer and represent a new class of targeted, nontoxic therapies. With a growing array of vaccine technologies in preclinical or clinical development, autologous antigen-presenting cell vaccines loaded with the antigen, prostate acid phosphatase, and poxvirus vaccines targeting prostate-specific antigen have recently demonstrated a significant survival benefit in randomized trials of patients with metastatic castration-resistant prostate cancer, whereas others have failed to demonstrate any benefit. The combination of vaccines with chemotherapy, radiotherapy, and other biologic agents is also being evaluated. Efforts to optimize vaccine approaches and select ideal patient populations need to continue to build on these early successes. PMID:20428291

Management of bone disease in women after breast cancer.

PubMed

Milat, F; Vincent, A J

2015-01-01

Breast cancer and osteoporosis are common conditions affecting women, particularly following menopause. With increasing breast cancer incidence, effects of therapies and decreasing mortality, issues relating to the preservation of bone health with breast cancer therapy have become a priority. Contributing factors to bone loss and fractures in women with breast cancer include tumor effects, estrogen deprivation secondary to breast cancer therapies (chemotherapy, ovarian ablation or aromatase inhibitors), natural menopause and secondary causes of bone loss, typically from concurrently prescribed medications. Management of osteoporosis and other survivorship care is complex, and a multi-disciplinary approach is recommended with assessment of risk factors for bone loss, optimization of bone health through lifestyle approaches and pharmacological interventions based on evidence-based algorithms. This review examines the pathophysiology of bone loss and gives guidelines for the management of bone disease in women with breast cancer.

Commissioning of a 3D image‐based treatment planning system for high‐dose‐rate brachytherapy of cervical cancer

PubMed Central

Kim, Yongbok; Modrick, Joseph M.; Pennington, Edward C.

2016-01-01

The objective of this work is to present commissioning procedures to clinically implement a three‐dimensional (3D), image‐based, treatment‐planning system (TPS) for high‐dose‐rate (HDR) brachytherapy (BT) for gynecological (GYN) cancer. The physical dimensions of the GYN applicators and their values in the virtual applicator library were varied by 0.4 mm of their nominal values. Reconstruction uncertainties of the titanium tandem and ovoids (T&O) were less than 0.4 mm on CT phantom studies and on average between 0.8‐1.0 mm on MRI when compared with X‐rays. In‐house software, HDRCalculator, was developed to check HDR plan parameters such as independently verifying active tandem or cylinder probe length and ovoid or cylinder size, source calibration and treatment date, and differences between average Point A dose and prescription dose. Dose‐volume histograms were validated using another independent TPS. Comprehensive procedures to commission volume optimization algorithms and process in 3D image‐based planning were presented. For the difference between line and volume optimizations, the average absolute differences as a percentage were 1.4% for total reference air KERMA (TRAK) and 1.1% for Point A dose. Volume optimization consistency tests between versions resulted in average absolute differences in 0.2% for TRAK and 0.9 s (0.2%) for total treatment time. The data revealed that the optimizer should run for at least 1 min in order to avoid more than 0.6% dwell time changes. For clinical GYN T&O cases, three different volume optimization techniques (graphical optimization, pure inverse planning, and hybrid inverse optimization) were investigated by comparing them against a conventional Point A technique. End‐to‐end testing was performed using a T&O phantom to ensure no errors or inconsistencies occurred from imaging through to planning and delivery. The proposed commissioning procedures provide a clinically safe implementation technique for 3D image‐based TPS for HDR BT for GYN cancer. PACS number(s): 87.55.D‐ PMID:27074463

Breast Cancer and Modifiable Lifestyle Factors in Argentinean Women: Addressing Missing Data in a Case-Control Study

PubMed Central

Coquet, Julia Becaria; Tumas, Natalia; Osella, Alberto Ruben; Tanzi, Matteo; Franco, Isabella; Diaz, Maria Del Pilar

2016-01-01

A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of Córdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America’s epidemiologic studies to optimize effect estimates in the future. PMID:27892664

Cost-effectiveness of prostate cancer screening: a simulation study based on ERSPC data.

PubMed

Heijnsdijk, E A M; de Carvalho, T M; Auvinen, A; Zappa, M; Nelen, V; Kwiatkowski, M; Villers, A; Páez, A; Moss, S M; Tammela, T L J; Recker, F; Denis, L; Carlsson, S V; Wever, E M; Bangma, C H; Schröder, F H; Roobol, M J; Hugosson, J; de Koning, H J

2015-01-01

The results of the European Randomized Study of Screening for Prostate Cancer (ERSPC) trial showed a statistically significant 29% prostate cancer mortality reduction for the men screened in the intervention arm and a 23% negative impact on the life-years gained because of quality of life. However, alternative prostate-specific antigen (PSA) screening strategies for the population may exist, optimizing the effects on mortality reduction, quality of life, overdiagnosis, and costs. Based on data of the ERSPC trial, we predicted the numbers of prostate cancers diagnosed, prostate cancer deaths averted, life-years and quality-adjusted life-years (QALY) gained, and cost-effectiveness of 68 screening strategies starting at age 55 years, with a PSA threshold of 3, using microsimulation modeling. The screening strategies varied by age to stop screening and screening interval (one to 14 years or once in a lifetime screens), and therefore number of tests. Screening at short intervals of three years or less was more cost-effective than using longer intervals. Screening at ages 55 to 59 years with two-year intervals had an incremental cost-effectiveness ratio of $73000 per QALY gained and was considered optimal. With this strategy, lifetime prostate cancer mortality reduction was predicted as 13%, and 33% of the screen-detected cancers were overdiagnosed. When better quality of life for the post-treatment period could be achieved, an older age of 65 to 72 years for ending screening was obtained. Prostate cancer screening can be cost-effective when it is limited to two or three screens between ages 55 to 59 years. Screening above age 63 years is less cost-effective because of loss of QALYs because of overdiagnosis. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Cancer Modeling: From Optimal Cell Renewal to Immunotherapy

NASA Astrophysics Data System (ADS)

Alvarado Alvarado, Cesar Leonardo

Cancer is a disease caused by mutations in normal cells. According to the National Cancer Institute, in 2016, an estimated 1.6 million people were diagnosed and approximately 0.5 million people died from the disease in the United States. There are many factors that shape cancer at the cellular and organismal level, including genetic, immunological, and environmental components. In this thesis, we show how mathematical modeling can be used to provide insight into some of the key mechanisms underlying cancer dynamics. First, we use mathematical modeling to investigate optimal homeostatic cell renewal in tissues such as the small intestine with an emphasis on division patterns and tissue architecture. We find that the division patterns that delay the accumulation of mutations are strictly associated with the population sizes of the tissue. In particular, patterns with long chains of differentiation delay the time to observe a second-hit mutant, which is important given that for many cancers two mutations are enough to initiate a tumor. We also investigated homeostatic cell renewal under a selective pressure and find that hierarchically organized tissues act as suppressors of selection; we find that an architecture with a small number of stem cells and larger pools of transit amplifying cells and mature differentiated cells, together with long chains of differentiation, form a robust evolutionary strategy to delay the time to observe a second-hit mutant when mutations acquire a fitness advantage or disadvantage. We also formulate a model of the immune response to cancer in the presence of costimulatory and inhibitory signals. We demonstrate that the coordination of such signals is crucial to initiate an effective immune response, and while immunotherapy has become a promising cancer treatment over the past decade, these results offer some explanations for why it can fail.

Testing a Theoretical Model of Perceived Self-Efficacy for Cancer-Related Fatigue Self-Management and Optimal Physical Functional Status

PubMed Central

Hoffman, Amy J.; von Eye, Alexander; Gift, Audrey G.; Given, Barbara A.; Given, Charles W.; Rothert, Marilyn

2009-01-01

Background Critical gaps exist in the understanding of cancer symptoms, particularly for cancer-related fatigue (CRF). Existing theories and models do not examine the key role perceived self-efficacy (PSE) plays in a person's ability to manage symptoms. Objectives To test the hypothesis that physical functional status (PFS) is predicted through patient characteristics, CRF, other symptoms, and PSE for fatigue self-management in persons with cancer. Methods This study is a secondary data analysis from the baseline observation of two randomized control trials. The combined data set includes 298 subjects who were undergoing a course of chemotherapy. Key variables included physiological and contextual patient characteristics, the severity from CRF and other symptoms, PSE, and PFS. Path analysis examined the relationships among the variables in the proposed theoretical model. Results Persons with cancer reported CRF as the most prevalent symptom among a mean of 7.4 other concurrent symptoms. The severity from CRF had a direct and indirect effect on PFS, with CRF having a direct adverse impact on PFS (t = -7.02) and an indirect adverse effect as part of the severity from the other symptoms (t = 9.69) which also adversely impacted PFS (t = -2.71). Consistent with the proposed theoretical model, PSE had a positive effect on the PFS (t = 2.87) of persons with cancer while serving as a mediator between CRF severity and PFS. Discussion Cancer-related fatigure is prevalent and related to the presence of other symptoms, and PSE for fatigue self-management is an important factor influencing CRF and PFS. A foundation is provided for future intervention studies to increase PSE to achieve optimal PFS in persons with cancer. PMID:19092553

Which strategies reduce breast cancer mortality most? Collaborative modeling of optimal screening, treatment, and obesity prevention.

PubMed

Mandelblatt, Jeanne; van Ravesteyn, Nicolien; Schechter, Clyde; Chang, Yaojen; Huang, An-Tsun; Near, Aimee M; de Koning, Harry; Jemal, Ahmedin

2013-07-15

US breast cancer mortality is declining, but thousands of women still die each year. Two established simulation models examine 6 strategies that include increased screening and/or treatment or elimination of obesity versus continuation of current patterns. The models use common national data on incidence and obesity prevalence, competing causes of death, mammography characteristics, treatment effects, and survival/cure. Parameters are modified based on obesity (defined as BMI  ≥  30 kg/m(2) ). Outcomes are presented for the year 2025 among women aged 25+ and include numbers of cases, deaths, mammograms and false-positives; age-adjusted incidence and mortality; breast cancer mortality reduction and deaths averted; and probability of dying of breast cancer. If current patterns continue, the models project that there would be about 50,100-57,400 (range across models) annual breast cancer deaths in 2025. If 90% of women were screened annually from ages 40 to 54 and biennially from ages 55 to 99 (or death), then 5100-6100 fewer deaths would occur versus current patterns, but incidence, mammograms, and false-positives would increase. If all women received the indicated systemic treatment (with no screening change), then 11,400-14,500 more deaths would be averted versus current patterns, but increased toxicity could occur. If 100% received screening plus indicated therapy, there would be 18,100-20,400 fewer deaths. Eliminating obesity yields 3300-5700 fewer breast cancer deaths versus continuation of current obesity levels. Maximal reductions in breast cancer deaths could be achieved through optimizing treatment use, followed by increasing screening use and obesity prevention. © 2013 American Cancer Society.

Testicular cancer incidence to rise by 25% by 2025 in Europe? Model-based predictions in 40 countries using population-based registry data.

PubMed

Le Cornet, Charlotte; Lortet-Tieulent, Joannie; Forman, David; Béranger, Rémi; Flechon, Aude; Fervers, Béatrice; Schüz, Joachim; Bray, Freddie

2014-03-01

Testicular cancer mainly affects White Caucasian populations, accounts for 1% of all male cancers, and is frequently the most common malignancy among young adult men. In light of the escalating rates of testicular cancer incidence in Europe, and in support of future planning to ensure optimal care of patients with what can be a curable disease, we predict the future burden in 40 European countries around 2025. Current observed trends were extrapolated with the NORDPRED model to estimate the future burden of testicular cancer in the context of changes in risk versus changes in demographics. Despite substantial heterogeneity in the rates, the vast majority of European countries will see an increasing burden over the next two decades. We estimate there will be 23,000 new cases of testicular cancer annually in Europe by 2025, a rise of 24% from 2005. Some of the most rapid increases in testicular cancer are observed in Croatia, Slovenia, Italy and Spain, and a transition is underway, whereby recent attenuations and declines in rates in certain high-risk countries in Northern Europe contrast with the increasing trends and escalating burden in Southern Europe. According to our estimates for 2025, around one in 100 men will be diagnosed with the disease annually in the highest risk countries of Europe (Croatia, Slovenia and Norway). Elucidating the key determinants of testicular cancer and the equitable provision of optimal care for patients across Europe are priorities given the steady rise in the number of patients by 2025, and an absence of primary prevention opportunities. None. Copyright © 2013 Elsevier Ltd. All rights reserved.

Understanding of prognosis among parents of children with cancer: parental optimism and the parent-physician interaction.

PubMed

Mack, Jennifer W; Cook, E Francis; Wolfe, Joanne; Grier, Holcombe E; Cleary, Paul D; Weeks, Jane C

2007-04-10

Patients often overestimate their chances of surviving cancer. Factors that contribute to accurate understanding of prognosis are not known. We assessed understanding of likelihood of cure and functional outcome among parents of children with cancer and sought to identify factors that place parents at risk for overly optimistic beliefs about prognosis. We conducted a cross-sectional survey of 194 parents of children with cancer (response rate, 70%) who were treated at the Dana-Farber Cancer Institute and Children's Hospital in Boston, MA, and the children's physicians. Parent and physician expectations for likelihood of cure and functional outcome were compared. In 152 accurate or optimistic parents, we determined factors associated with accurate understanding of likelihood of cure compared with optimism. The majority of parents (61%) were more optimistic than physicians about the likelihood of cure. Parents' beliefs about other outcomes of cancer treatment were similar (quality-of-life impairment, P = .70) or more pessimistic (physical impairment, P = .01; intellectual impairment, P = .01) than physicians' beliefs. Parents and physicians were more likely to agree about chances of cure when physicians had confidence in knowledge of prognosis (odds ratio [OR] = 2.55, P = .004) and allowed parents to take their preferred decision-making role (OR = 1.89, P = .019). Parents of children with cancer are overly optimistic about chances of cure but not about other outcomes of cancer therapy. Parents tend to be overly optimistic about cure when physicians have little confidence and when the decision-making process does not meet parents' preferences. These findings suggest that physicians are partly responsible for parents' unrealistic expectations about cure.

Cancer nutrition and rehabilitation—its time has come!

PubMed Central

Chasen, M.R.; Dippenaar, A.P.

2008-01-01

Cancer is a systemic disease that can affect nearly every organ in the body, resulting in a progressive loss of organ function. That loss of function may be initially slow, having minimal effect, or it may be rapid, resulting in more dramatic changes. The usual medical management of patients with cancer has focused more specifically on the administration of cytotoxic treatments. These treatments can potentially eradicate or minimize the tumour, but they may also have toxic side effects that in turn can also affect the patient. Cancer rehabilitation is a process that assists the individual with a cancer diagnosis to obtain optimal physical, social, psychological, and vocational functioning within the limits created by the disease and its treatment. The McGill Cancer Nutrition and Rehabilitation (cnr) program developed as a result of the ever-increasing demand for a focus on addressing individual cancer patients and their needs, as well as on achieving optimal tumour-related outcomes. Using an interdisciplinary approach, the cnr’s global objective is to empower individuals who are experiencing loss of function, fatigue, malnutrition, psychological distress, and other symptoms as a result of cancer or its treatment to improve their own quality of life. All team members—experts in their respective fields—assess all patients. At a subsequent team discussion and planning meeting, a specific 8-week program is designed for each patient. The hoped-for outcome for the cnr program is primarily to empower patients to “take control” or to enable them to improve their own quality of life. This article reviews the philosophy of the cnr’s approach and the roles played by the various members of the team. PMID:18596892

COLORECTAL CANCER PREVENTION BY AN OPTIMIZED COLONOSCOPY PROTOCOL IN ROUTINE PRACTICE

PubMed Central

Xirasagar, Sudha; Li, Yi-Jhen; Hurley, Thomas G.; Tsai, Meng Han; Hardin, James W.; Hurley, Deborah M.; Hebert, James R.; de Groen, Piet C.

2014-01-01

We conducted a retrospective cohort study to investigate the colorectal cancer (CRC) incidence and mortality prevention achievable in clinical practice with an optimized colonoscopy protocol targeting near-complete polyp clearance. The protocol consisted of: a) telephonic reinforcement of bowel preparation instructions; b) active inspection for polyps throughout insertion and circumferential withdrawal; and, c) timely updating of the protocol and documentation to incorporate the latest guidelines. Of 17,312 patients provided screening colonoscopies by 59 endoscopists in South Carolina, USA from 09/2001 through 12/2008, 997 were excluded using accepted exclusion criteria. Data on 16,315 patients were merged with the South Carolina Central Cancer Registry and Vital Records Registry data from 01/1996 – 12/2009 to identify incident CRC cases and deaths, incident lung cancers and brain cancer deaths (comparison control cancers). The standardized incidence ratios (SIR) and standardized mortality ratios (SMR) relative to South Carolina and US SEER-18 population rates were calculated. Over 78,375 person-years of observation, 18 patients developed CRC vs. 104.11 expected for an SIR of 0.17, or 83% CRC protection, the rates being 68% and 91%, respectively among the adenoma- and adenoma-free subgroups (all p<0.001). Restricting the cohort to ensure minimum 5-year follow-up (mean follow-up 6.58 years) did not change the results. The CRC mortality reduction was 89% (p<0.001; 4 CRC deaths vs. 35.95 expected). The lung cancer SIR was 0.96 (p=0.67), and brain cancer SMR was 0.92 (p=0.35). Over 80% reduction in CRC incidence and mortality is achievable in routine practice by implementing key colonoscopy principles targeting near-complete polyp clearance. PMID:25242510

Design of the BRISC study: a multicentre controlled clinical trial to optimize the communication of breast cancer risks in genetic counselling.

PubMed

Ockhuysen-Vermey, Caroline F; Henneman, Lidewij; van Asperen, Christi J; Oosterwijk, Jan C; Menko, Fred H; Timmermans, Daniëlle R M

2008-10-03

Understanding risks is considered to be crucial for informed decision-making. Inaccurate risk perception is a common finding in women with a family history of breast cancer attending genetic counseling. As yet, it is unclear how risks should best be communicated in clinical practice. This study protocol describes the design and methods of the BRISC (Breast cancer RISk Communication) study evaluating the effect of different formats of risk communication on the counsellee's risk perception, psychological well-being and decision-making regarding preventive options for breast cancer. The BRISC study is designed as a pre-post-test controlled group intervention trial with repeated measurements using questionnaires. The intervention-an additional risk consultation-consists of one of 5 conditions that differ in the way counsellee's breast cancer risk is communicated: 1) lifetime risk in numerical format (natural frequencies, i.e. X out of 100), 2) lifetime risk in both numerical format and graphical format (population figures), 3) lifetime risk and age-related risk in numerical format, 4) lifetime risk and age-related risk in both numerical format and graphical format, and 5) lifetime risk in percentages. Condition 6 is the control condition in which no intervention is given (usual care). Participants are unaffected women with a family history of breast cancer attending one of three participating clinical genetic centres in the Netherlands. The BRISC study allows for an evaluation of the effects of different formats of communicating breast cancer risks to counsellees. The results can be used to optimize risk communication in order to improve informed decision-making among women with a family history of breast cancer. They may also be useful for risk communication in other health-related services. Current Controlled Trials ISRCTN14566836.

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

PubMed Central

Lakshmanan, Manu N.; Greenberg, Joel A.; Samei, Ehsan; Kapadia, Anuj J.

2017-01-01

Abstract. Although transmission-based x-ray imaging is the most commonly used imaging approach for breast cancer detection, it exhibits false negative rates higher than 15%. To improve cancer detection accuracy, x-ray coherent scatter computed tomography (CSCT) has been explored to potentially detect cancer with greater consistency. However, the 10-min scan duration of CSCT limits its possible clinical applications. The coded aperture coherent scatter spectral imaging (CACSSI) technique has been shown to reduce scan time through enabling single-angle imaging while providing high detection accuracy. Here, we use Monte Carlo simulations to test analytical optimization studies of the CACSSI technique, specifically for detecting cancer in ex vivo breast samples. An anthropomorphic breast tissue phantom was modeled, a CACSSI imaging system was virtually simulated to image the phantom, a diagnostic voxel classification algorithm was applied to all reconstructed voxels in the phantom, and receiver-operator characteristics analysis of the voxel classification was used to evaluate and characterize the imaging system for a range of parameters that have been optimized in a prior analytical study. The results indicate that CACSSI is able to identify the distribution of cancerous and healthy tissues (i.e., fibroglandular, adipose, or a mix of the two) in tissue samples with a cancerous voxel identification area-under-the-curve of 0.94 through a scan lasting less than 10 s per slice. These results show that coded aperture scatter imaging has the potential to provide scatter images that automatically differentiate cancerous and healthy tissue within ex vivo samples. Furthermore, the results indicate potential CACSSI imaging system configurations for implementation in subsequent imaging development studies. PMID:28331884

Mortality differences by surgical volume among patients with stomach cancer: a threshold for a favorable volume-outcome relationship.

PubMed

Choi, Hyeok; Yang, Seong-Yoon; Cho, Hee-Seung; Kim, Woorim; Park, Eun-Cheol; Han, Kyu-Tae

2017-07-17

Many studies have assessed the volume-outcome relationship in cancer patients, but most focused on better outcomes in higher volume groups rather than identifying a specific threshold that could assist in clinical decision-making for achieving the best outcomes. The current study suggests an optimal volume for achieving good outcome, as an extension of previous studies on the volume-outcome relationship in stomach cancer patients. We used National Health Insurance Service (NHIS) Sampling Cohort data during 2004-2013, comprising healthcare claims for 2550 patients with newly diagnosed stomach cancer. We conducted survival analyses adopting the Cox proportional hazard model to investigate the association of three threshold values for surgical volume of stomach cancer patients for cancer-specific mortality using the Youden index. Overall, 17.10% of patients died due to cancer during the study period. The risk of mortality among patients who received surgical treatment gradually decreased with increasing surgical volume at the hospital, while the risk of mortality increased again in "high" surgical volume hospitals, resulting in a j-shaped curve (mid-low = hazard ratio (HR) 0.773, 95% confidence interval (CI) 0.608-0.983; mid-high = HR 0.541, 95% CI 0.372-0.788; high = HR 0.659, 95% CI 0.473-0.917; ref = low). These associations were especially significant in regions with unsubstantial surgical volumes and less severe cases. The optimal surgical volume threshold was about 727.3 surgical cases for stomach cancer per hospital over the 1-year study period in South Korea. However, such positive effects decreased after exceeding a certain volume of surgeries.

The role of systemic therapy in the management of sinonasal cancer: A critical review.

PubMed

Bossi, Paolo; Saba, Nabil F; Vermorken, Jan B; Strojan, Primoz; Pala, Laura; de Bree, Remco; Rodrigo, Juan Pablo; Lopez, Fernando; Hanna, Ehab Y; Haigentz, Missak; Takes, Robert P; Slootweg, Piet J; Silver, Carl E; Rinaldo, Alessandra; Ferlito, Alfio

2015-12-01

Due to the rarity and the variety of histological types of sinonasal cancers, there is a paucity of data regarding strategy for their optimal treatment. Generally, outcomes of advanced and higher grade tumors remain unsatisfactory, despite the employment of sophisticated surgical approaches, technical advances in radiation techniques and the use of heavy ion particles. In this context, we critically evaluated the role of systemic therapy as part of a multidisciplinary approach to locally advanced disease. Induction chemotherapy has shown encouraging activity and could have a role in the multimodal treatment of patients with advanced sinonasal tumors. For epithelial tumors, the most frequently employed chemotherapy is cisplatin, in combination with either 5-fluorouracil, taxane, ifosfamide, or vincristine. Only limited experiences with concurrent chemoradiation exist with sinonasal cancer. The role of systemic treatment for each histological type (intestinal-type adenocarcinoma, sinonasal undifferentiated carcinoma, sinonasal neuroendocrine carcinoma, olfactory neuroblastoma, sinonasal primary mucosal melanoma, sarcoma) is discussed. The treatment of SNC requires a multimodal approach. Employment of systemic therapy for locally advanced disease could result in better outcomes, and optimize the therapeutic armamentarium. Further studies are needed to precisely define the role of systemic therapy and identify the optimal sequencing for its administration in relation to local therapies. Copyright © 2015 Elsevier Ltd. All rights reserved.

An optimal transportation approach for nuclear structure-based pathology.

PubMed

Wang, Wei; Ozolek, John A; Slepčev, Dejan; Lee, Ann B; Chen, Cheng; Rohde, Gustavo K

2011-03-01

Nuclear morphology and structure as visualized from histopathology microscopy images can yield important diagnostic clues in some benign and malignant tissue lesions. Precise quantitative information about nuclear structure and morphology, however, is currently not available for many diagnostic challenges. This is due, in part, to the lack of methods to quantify these differences from image data. We describe a method to characterize and contrast the distribution of nuclear structure in different tissue classes (normal, benign, cancer, etc.). The approach is based on quantifying chromatin morphology in different groups of cells using the optimal transportation (Kantorovich-Wasserstein) metric in combination with the Fisher discriminant analysis and multidimensional scaling techniques. We show that the optimal transportation metric is able to measure relevant biological information as it enables automatic determination of the class (e.g., normal versus cancer) of a set of nuclei. We show that the classification accuracies obtained using this metric are, on average, as good or better than those obtained utilizing a set of previously described numerical features. We apply our methods to two diagnostic challenges for surgical pathology: one in the liver and one in the thyroid. Results automatically computed using this technique show potentially biologically relevant differences in nuclear structure in liver and thyroid cancers.

Minimizing metastatic risk in radiotherapy fractionation schedules

NASA Astrophysics Data System (ADS)

Badri, Hamidreza; Ramakrishnan, Jagdish; Leder, Kevin

2015-11-01

Metastasis is the process by which cells from a primary tumor disperse and form new tumors at distant anatomical locations. The treatment and prevention of metastatic cancer remains an extremely challenging problem. This work introduces a novel biologically motivated objective function to the radiation optimization community that takes into account metastatic risk instead of the status of the primary tumor. In this work, we consider the problem of developing fractionated irradiation schedules that minimize production of metastatic cancer cells while keeping normal tissue damage below an acceptable level. A dynamic programming framework is utilized to determine the optimal fractionation scheme. We evaluated our approach on a breast cancer case using the heart and the lung as organs-at-risk (OAR). For small tumor α /β values, hypo-fractionated schedules were optimal, which is consistent with standard models. However, for relatively larger α /β values, we found the type of schedule depended on various parameters such as the time when metastatic risk was evaluated, the α /β values of the OARs, and the normal tissue sparing factors. Interestingly, in contrast to standard models, hypo-fractionated and semi-hypo-fractionated schedules (large initial doses with doses tapering off with time) were suggested even with large tumor α/β values. Numerical results indicate the potential for significant reduction in metastatic risk.

An optimal transportation approach for nuclear structure-based pathology

PubMed Central

Wang, Wei; Ozolek, John A.; Slepčev, Dejan; Lee, Ann B.; Chen, Cheng; Rohde, Gustavo K.

2012-01-01

Nuclear morphology and structure as visualized from histopathology microscopy images can yield important diagnostic clues in some benign and malignant tissue lesions. Precise quantitative information about nuclear structure and morphology, however, is currently not available for many diagnostic challenges. This is due, in part, to the lack of methods to quantify these differences from image data. We describe a method to characterize and contrast the distribution of nuclear structure in different tissue classes (normal, benign, cancer, etc.). The approach is based on quantifying chromatin morphology in different groups of cells using the optimal transportation (Kantorovich-Wasserstein) metric in combination with the Fisher discriminant analysis and multidimensional scaling techniques. We show that the optimal transportation metric is able to measure relevant biological information as it enables automatic determination of the class (e.g. normal vs. cancer) of a set of nuclei. We show that the classification accuracies obtained using this metric are, on average, as good or better than those obtained utilizing a set of previously described numerical features. We apply our methods to two diagnostic challenges for surgical pathology: one in the liver and one in the thyroid. Results automatically computed using this technique show potentially biologically relevant differences in nuclear structure in liver and thyroid cancers. PMID:20977984

Isolation of metallothionein from cells derived from aggressive form of high-grade prostate carcinoma using paramagnetic antibody-modified microbeads off-line coupled with electrochemical and electrophoretic analysis.

PubMed

Masarik, Michal; Gumulec, Jaromir; Sztalmachova, Marketa; Hlavna, Marian; Babula, Petr; Krizkova, Sona; Ryvolova, Marketa; Jurajda, Michal; Sochor, Jiri; Adam, Vojtech; Kizek, Rene

2011-12-01

Prostate cancer with altered zinc(II) cell metabolism is the second most frequently diagnosed cancer in developed countries. The alterations of zinc(II) metabolism can influence metabolism of other metal ions and can also be associated with the expression and translation of metal-binding proteins including metallothioneins. The aim of this article was to optimize immunoseparation protocol based on paramagnetic beads conjugated with protein G for the isolation of metallothionein. Isolated metallothionein was determined by differential pulse voltammetry Brdicka reaction and SDS-PAGE. Optimal conditions: antigen-binding time - 60 min, temperature - 70°C, and buffer composition and pH - acetate buffer, pH 4.3, were determined. Under the optimized conditions, lysates from 22Rv1 prostate cancer cells treated with various concentrations of cadmium(II) and copper(II) ions were analyzed. We observed strong correlation in all experimental groups and all lysate types (r>0.83 at p<0.041) between metallothionein concentration related to viability and concentration of copper(II) ions and cadmium(II) ions in medium. Moreover, the results were compared with standard sample preparation as heat treatment and SDS-PAGE analysis. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Optimizing heat shock protein expression induced by prostate cancer laser therapy through predictive computational models

NASA Astrophysics Data System (ADS)

Rylander, Marissa N.; Feng, Yusheng; Zhang, Yongjie; Bass, Jon; Stafford, Roger J.; Hazle, John D.; Diller, Kenneth R.

2006-07-01

Thermal therapy efficacy can be diminished due to heat shock protein (HSP) induction in regions of a tumor where temperatures are insufficient to coagulate proteins. HSP expression enhances tumor cell viability and imparts resistance to chemotherapy and radiation treatments, which are generally employed in conjunction with hyperthermia. Therefore, an understanding of the thermally induced HSP expression within the targeted tumor must be incorporated into the treatment plan to optimize the thermal dose delivery and permit prediction of the overall tissue response. A treatment planning computational model capable of predicting the temperature, HSP27 and HSP70 expression, and damage fraction distributions associated with laser heating in healthy prostate tissue and tumors is presented. Measured thermally induced HSP27 and HSP70 expression kinetics and injury data for normal and cancerous prostate cells and prostate tumors are employed to create the first HSP expression predictive model and formulate an Arrhenius damage model. The correlation coefficients between measured and model predicted temperature, HSP27, and HSP70 were 0.98, 0.99, and 0.99, respectively, confirming the accuracy of the model. Utilization of the treatment planning model in the design of prostate cancer thermal therapies can enable optimization of the treatment outcome by controlling HSP expression and injury.

Attitude and knowledge of physicians about cancer pain management: young doctors of South Korea in their early career.

PubMed

Kim, Myung-Hyun; Park, Hyeonggeun; Park, Eun Chul; Park, Keeho

2011-06-01

This study is aimed at evaluating the attitude and knowledge about the optimal use of opioids and finding out the barriers to cancer pain management especially for young doctors in South Korea. A survey through questionnaire form was conducted on 1204 physicians. Physicians were grouped by their medical specialties and personal characteristics. Specialties were grouped into internal medicine and family medicine doctors, surgeons, anesthesiologists, pediatricians, other board holders and general physicians. Personal characteristics were grouped by their past experiences and current surroundings. Though many doctors thought that they were fairly well educated for pain management strategy, a large population of physicians showed a negative attitude and inadequate knowledge status about cancer pain management. The degree of attitude and knowledge status was different as their specialties and personal experiences. The factors that affected doctors' attitude and knowledge were: (i) medical specialty, (ii) past history of using practical pain assessment tool, (iii) self-perception of knowledge status about pain management, (iv) experience of prescribing opioids, (v) experience of education for cancer pain management. Although many physicians had a passive attitude in prescribing opioid analgesics, they are willingly open to use opioids for cancer pain management in the future. The most important perceived barriers to optimal cancer pain management were the fear for risk of tolerance, drug addiction, side effects of opioid analgesics and knowledge deficit about opioid analgesics. From this study, we found that further education and practical training will be needed for adequate cancer pain management for young physicians in their early career.

Optimization protocol for the extraction of 6-gingerol and 6-shogaol from Zingiber officinale var. rubrum Theilade and improving antioxidant and anticancer activity using response surface methodology.

PubMed

Ghasemzadeh, Ali; Jaafar, Hawa Z E; Rahmat, Asmah

2015-07-30

Analysis and extraction of plant matrices are important processes for the development, modernization, and quality control of herbal formulations. Response surface methodology is a collection of statistical and mathematical techniques that are used to optimize the range of variables in various experimental processes to reduce the number of experimental runs, cost , and time, compared to other methods. Response surface methodology was applied for optimizing reflux extraction conditions for achieving high 6-gingerol and 6-shogaol contents, and high antioxidant activity in Zingiber officinale var. rubrum Theilade . The two-factor central composite design was employed to determine the effects of two independent variables, namely extraction temperature (X1: 50-80 °C) and time (X2: 2-4 h), on the properties of the extracts. The 6-gingerol and 6-shogaol contents were measured using ultra-performance liquid chromatography. The antioxidant activity of the rhizome extracts was determined by means of the 1,1-diphenyl-2-picrylhydrazyl assay. Anticancer activity of optimized extracts against HeLa cancer cell lines was measured using MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. Increasing the extraction temperature and time induced significant response of the variables. The optimum extraction condition for all responses was at 76.9 °C for 3.4 h. Under the optimum condition, the corresponding predicted response values for 6-gingerol, 6-shogaol, and the antioxidant activity were 2.89 mg/g DW, 1.85 mg/g DW, and 84.3%, respectively. 6-gingerol and 6-shogaol were extracted under optimized condition to check the viability of the models. The values were 2.92 and 1.88 mg/g DW, and 84.0% for 6-gingerol, 6-shogaol, and the antioxidant activity respectively. The experimental values agreed with those predicted, thus indicating suitability of the models employed and the success of RSM in optimizing the extraction condition. With optimizing of reflux extraction anticancer activity of extracts against HeLa cancer cells enhanced about 16.8%. The half inhibition concentration (IC50) value of optimized and unoptimized extract was found at concentration of 20.9 and 38.4 μg/mL respectively. Optimized extract showed more distinct anticancer activities against HeLa cancer cells in a concentration of 40 μg/mL (P < 0.01) without toxicity to normal cells. The results indicated that the pharmaceutical quality of ginger could be improved significantly by optimizing of extraction process using response surface methodology.

Rare Cancers Europe (RCE) methodological recommendations for clinical studies in rare cancers: a European consensus position paper.

PubMed

Casali, P G; Bruzzi, P; Bogaerts, J; Blay, J-Y

2015-02-01

While they account for one-fifth of new cancer cases, rare cancers are difficult to study. A higher than average degree of uncertainty should be accommodated for clinical as well as for population-based decision making. Rules of rational decision making in conditions of uncertainty should be rigorously followed and would need widely informative clinical trials. In principle, any piece of new evidence would need to be exploited in rare cancers. Methodologies to explicitly weigh and combine all the available evidence should be refined, and the Bayesian logic can be instrumental to this end. Likewise, Bayesian-design trials may help optimize the low number of patients liable to be enrolled in clinical studies on rare cancers, as well as adaptive trials in general, with their inherent potential of flexibility when properly applied. While clinical studies are the mainstay to test hypotheses, the potential of electronic patient records should be exploited to generate new hypotheses, to create external controls for future studies (when internal controls are unpractical), to study effectiveness of new treatments in real conditions. Framework study protocols in specific rare cancers to sequentially test sets of new agents, as from the early post-phase I development stage, should be encouraged. Also the compassionate and the off-label settings should be exploited to generate new evidence, and flexible regulatory innovations such as adaptive licensing could convey new agents early to rare cancer patients, while generating evidence. Though validation of surrogate end points is problematic in rare cancers, the use of an updated notion of tumor response may be of great value in the single patient to optimize the use of therapies, all the more the new ones. Disease-based communities, involving clinicians and patients, should be regularly consulted by regulatory bodies when setting their policies on drug approval and reimbursement in specific rare cancers. © The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

Optimizing Social Network Support to Families Living With Parental Cancer: Research Protocol for the Cancer-PEPSONE Study

PubMed Central

2015-01-01

Background Parental cancer can have a significant impact on a family's psychosocial functioning and quality of life, whereby the children’s situation is strongly related to parental coping and capacity. Such parents ask for more help in order to increase their care capacity, while the network is often insecure about how to help and thereby withdraw. They ask for guidance and training to be able to support cancer families. Based on this, the Cancer- Psycho-Educational Program for the SOcial NEtwork (PEPSONE) study was developed. Objective To optimize social network support through a psycho-educational program for families living with parental cancer and their network members in order to increase parental capacity and thereby secure the children’s safety and quality of life. Methods A randomized controlled trial (RCT) in which families (N=60) living with parental cancer will be randomized to either an intervention group or a control group. The intervention will last for 3 hours and includes (1) introduction, (2) psycho-education (living with cancer in the family and the importance of social network support), and (3) discussion (this family’s need for social support). Primary outcomes are social support, mental health, and quality of life, and secondary outcomes are resilience and parental capacity. Data will be collected by a set of questionnaires distributed to healthy parents (N=60) living with a partner with cancer, one child in the family between 8-18 years of age (N=60), and network members (N=210) of the intervention families at inclusion, and after 3 and 6 months. Comparing differences between the intervention group (n=30) and the control group (n=30), the power analysis shows that P<.05 and a statistical power = .80 would detect effect sizes of clinical interest. Results This paper presents the Cancer-PEPSON study’s protocol to provide a broader understanding of the background and content of the program. The study is ongoing until August 2016 and the first results are anticipated to be finished by November 2015. Conclusions To our knowledge, this will be the first RCT study to optimize social network support through a psycho-educational program for families living with parental cancer and their network members, as well as provide an evidence basis for social network support. The results may provide important knowledge that is useful for clinical practice and further research. The trial is reported according to the CONSORT checklist. ClinicalTrial International Standard Randomized Controlled Trial Number (ISRCTN): 15982171; http://www.controlled-trials.com/ISRCTN15982171/15982171 (Archived by WebCite at http://www.webcitation.org/6cg9zunS0) PMID:26733339

Optimization and comprehensive characterization of a faithful tissue culture model of the benign and malignant human prostate.

PubMed

Maund, Sophia Lisette; Nolley, Rosalie; Peehl, Donna Mae

2014-02-01

Few preclinical models accurately depict normal human prostate tissue or primary prostate cancer (PCa). In vitro systems typically lack complex cellular interactions among structured prostatic epithelia and a stromal microenvironment, and genetic and molecular fidelity are concerns in both in vitro and in vivo models. 'Tissue slice cultures' (TSCs) provide realistic preclinical models of diverse tissues and organs, but have not been fully developed or widely utilized for prostate studies. Problems encountered include degeneration of differentiated secretory cells, basal cell hyperplasia, and poor survival of PCa. Here, we optimized, characterized, and applied a TSC model of primary human PCa and benign prostate tissue that overcomes many deficiencies of current in vitro models. Tissue cores from fresh prostatectomy specimens were precision-cut at 300 μm and incubated in a rotary culture apparatus. The ability of varied culture conditions to faithfully maintain benign and cancer cell and tissue structure and function over time was evaluated by immunohistological and biochemical assays. After optimization of the culture system, molecular and cellular responses to androgen ablation and to piperlongumine (PL), purported to specifically reduce androgen signaling in PCa, were investigated. Optimized culture conditions successfully maintained the structural and functional fidelity of both benign and PCa TSCs for 5 days. TSCs exhibited androgen dependence, appropriately undergoing ductal degeneration, reduced proliferation, and decreased prostate-specific antigen expression upon androgen ablation. Further, TSCs revealed cancer-specific reduction of androgen receptor and increased apoptosis upon treatment with PL, validating data from cell lines. We demonstrate a TSC model that authentically recapitulates the structural, cellular, and genetic characteristics of the benign and malignant human prostate, androgen dependence of the native tissue, and cancer-specific response to a potentially new therapeutic for PCa. The work described herein provides a basis for advancing the experimental utility of the TSC model.

SU-E-T-551: Monitor Unit Optimization in Stereotactic Body Radiation Therapy for Stage I Lung Cancer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, B-T; Lu, J-Y

2015-06-15

Purpose: The study aims to reduce the monitor units (MUs) in the stereotactic body radiation therapy (SBRT) treatment for lung cancer by adjusting the optimizing parameters. Methods: Fourteen patients suffered from stage I Non-Small Cell Lung Cancer (NSCLC) were enrolled. Three groups of parameters were adjusted to investigate their effects on MU numbers and organs at risk (OARs) sparing: (1) the upper objective of planning target volume (UOPTV); (2) strength setting in the MU constraining objective; (3) max MU setting in the MU constraining objective. Results: We found that the parameters in the optimizer influenced the MU numbers in amore » priority, strength and max MU dependent manner. MU numbers showed a decreasing trend with the UOPTV increasing. MU numbers with low, medium and high priority for the UOPTV were 428±54, 312±48 and 258±31 MU/Gy, respectively. High priority for UOPTV also spared the heart, cord and lung while maintaining comparable PTV coverage than the low and medium priority group. It was observed that MU numbers tended to decrease with the strength increasing and max MU setting decreasing. With maximum strength, the MU numbers reached its minimum while maintaining comparable or improved dose to the normal tissues. It was also found that the MU numbers continued to decline at 85% and 75% max MU setting but no longer to decrease at 50% and 25%. Combined with high priority for UOPTV and MU constraining objectives, the MU numbers can be decreased as low as 223±26 MU/Gy. Conclusion:: The priority of UOPTV, MU constraining objective in the optimizer impact on the MU numbers in SBRT treatment for lung cancer. Giving high priority to the UOPTV, setting the strength to maximum value and the max MU to 50% in the MU objective achieves the lowest MU numbers while maintaining comparable or improved OAR sparing.« less

Chinese Anti-Cancer Association as a non-governmental organization undertakes systematic cancer prevention work in China.

PubMed

Xu, Tingting

2015-08-01

Cancer has become the first leading cause of death in the world, particularly in low- and middle-income countries. Facing the increasing trend of cancer incidence and mortality, China issued and implemented "three-early (early prevention, early diagnosis and early treatment)" national cancer prevention plan. As the main body and dependence of social governance, non-governmental organizations (NGOs) take over the role of government in the field of cancer prevention and treatment. American Cancer Society (ACS) made a research on cancer NGOs and civil society in cancer control and found that cancer NGOs in developing countries mobilize civil society to work together and advocate governments in their countries to develop policies to address the growing cancer burden. Union for International Cancer Control (UICC), Cancer Council Australia (CCA), and Malaysian cancer NGOs are the representatives of cancer NGOs in promoting cancer control. Selecting Chinese Anti-Cancer Association (CACA) as an example in China, this article is to investigate how NGOs undertake systematic cancer prevention work in China. By conducting real case study, we found that, as a NGO, CACA plays a significant role in intensifying the leading role of government in cancer control, optimizing cancer outcomes, decreasing cancer incidence and mortality rates and improving public health.

Chinese Anti-Cancer Association as a non-governmental organization undertakes systematic cancer prevention work in China

PubMed Central

2015-01-01

Cancer has become the first leading cause of death in the world, particularly in low- and middle-income countries. Facing the increasing trend of cancer incidence and mortality, China issued and implemented “three-early (early prevention, early diagnosis and early treatment)” national cancer prevention plan. As the main body and dependence of social governance, non-governmental organizations (NGOs) take over the role of government in the field of cancer prevention and treatment. American Cancer Society (ACS) made a research on cancer NGOs and civil society in cancer control and found that cancer NGOs in developing countries mobilize civil society to work together and advocate governments in their countries to develop policies to address the growing cancer burden. Union for International Cancer Control (UICC), Cancer Council Australia (CCA), and Malaysian cancer NGOs are the representatives of cancer NGOs in promoting cancer control. Selecting Chinese Anti-Cancer Association (CACA) as an example in China, this article is to investigate how NGOs undertake systematic cancer prevention work in China. By conducting real case study, we found that, as a NGO, CACA plays a significant role in intensifying the leading role of government in cancer control, optimizing cancer outcomes, decreasing cancer incidence and mortality rates and improving public health. PMID:26361412

Radiation-Induced Immune Modulation in Prostate Cancer

DTIC Science & Technology

2008-01-01

cancers. 15. SUBJECT TERMS Radiation, Dendritic Cells , Cytokines, PSA 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18...radiation is more than a cytotoxic agent. Our recent study has shown that radiation modulates the immune system by affecting dendritic cell (DC...translate radiation-induced tumor cell death into generation of tumor immunity in the hope of optimizing therapy for localized and disseminated prostate

Grid-Enabled Quantitative Analysis of Breast Cancer

DTIC Science & Technology

2009-10-01

large-scale, multi-modality computerized image analysis . The central hypothesis of this research is that large-scale image analysis for breast cancer...pilot study to utilize large scale parallel Grid computing to harness the nationwide cluster infrastructure for optimization of medical image ... analysis parameters. Additionally, we investigated the use of cutting edge dataanalysis/ mining techniques as applied to Ultrasound, FFDM, and DCE-MRI Breast

Defining the Optimal Selenium Dose for Prostate Cancer Risk Reduction: Insights from the U-Shaped Relationship Between Selenium Status, DNA Damage, and Apoptosis

USDA-ARS?s Scientific Manuscript database

Our work in dogs has revealed a U-shaped dose response between selenium status and prostatic DNA damage that remarkably parallels the relationship between dietary selenium and prostate cancer risk in men, suggesting that more selenium is not necessarily better. Herein, we extend this canine work to ...

Thick tissue diffusion model with binding to optimize topical staining in fluorescence breast cancer margin imaging

NASA Astrophysics Data System (ADS)

Xu, Xiaochun; Kang, Soyoung; Navarro-Comes, Eric; Wang, Yu; Liu, Jonathan T. C.; Tichauer, Kenneth M.

2018-03-01

Intraoperative tumor/surgical margin assessment is required to achieve higher tumor resection rate in breast-conserving surgery. Though current histology provides incomparable accuracy in margin assessment, thin tissue sectioning and the limited field of view of microscopy makes histology too time-consuming for intraoperative applications. If thick tissue, wide-field imaging can provide an acceptable assessment of tumor cells at the surface of resected tissues, an intraoperative protocol can be developed to guide the surgery and provide immediate feedback for surgeons. Topical staining of margins with cancer-targeted molecular imaging agents has the potential to provide the sensitivity needed to see microscopic cancer on a wide-field image; however, diffusion and nonspecific retention of imaging agents in thick tissue can significantly diminish tumor contrast with conventional methods. Here, we present a mathematical model to accurately simulate nonspecific retention, binding, and diffusion of imaging agents in thick tissue topical staining to guide and optimize future thick tissue staining and imaging protocol. In order to verify the accuracy and applicability of the model, diffusion profiles of cancer targeted and untargeted (control) nanoparticles at different staining times in A431 tumor xenografts were acquired for model comparison and tuning. The initial findings suggest the existence of nonspecific retention in the tissue, especially at the tissue surface. The simulator can be used to compare the effect of nonspecific retention, receptor binding and diffusion under various conditions (tissue type, imaging agent) and provides optimal staining and imaging protocols for targeted and control imaging agent.

Optimization of automated large-scale production of [(18)F]fluoroethylcholine for PET prostate cancer imaging.

PubMed

Pascali, Giancarlo; D'Antonio, Luca; Bovone, Paola; Gerundini, Paolo; August, Thorsten

2009-07-01

PET tumor imaging is gaining importance in current clinical practice. FDG-PET is the most utilized approach but suffers from inflammation influences and is not utilizable in prostate cancer detection. Recently, (11)C-choline analogues have been employed successfully in this field of imaging, leading to a growing interest in the utilization of (18)F-labeled analogues: [(18)F]fluoroethylcholine (FEC) has been demonstrated to be promising, especially in prostate cancer imaging. In this work we report an automatic radiosynthesis of this tracer with high yields, short synthesis time and ease of performance, potentially utilizable in routine production sites. We used a Modular Lab system to automatically perform the two-step/one-pot synthesis. In the first step, we labeled ethyleneglycolditosylate obtaining [(18)F]fluoroethyltosylate; in the second step, we performed the coupling of the latter intermediate with neat dimethylethanolamine. The final mixture was purified by means of solid phase extraction; in particular, the product was trapped into a cation-exchange resin and eluted with isotonic saline. The optimized procedure resulted in a non decay corrected yield of 36% and produced a range of 30-45 GBq of product already in injectable form. The product was analyzed for quality control and resulted as pure and sterile; in addition, residual solvents were under the required threshold. In this work, we present an automatic FEC radiosynthesis that has been optimized for routine production. This findings should foster the interest for a wider utilization of this radiomolecule for imaging of prostate cancer with PET, a field for which no gold-standard tracer has yet been validated.

Automatic treatment planning facilitates fast generation of high-quality treatment plans for esophageal cancer.

PubMed

Hansen, Christian Rønn; Nielsen, Morten; Bertelsen, Anders Smedegaard; Hazell, Irene; Holtved, Eva; Zukauskaite, Ruta; Bjerregaard, Jon Kroll; Brink, Carsten; Bernchou, Uffe

2017-11-01

The quality of radiotherapy planning has improved substantially in the last decade with the introduction of intensity modulated radiotherapy. The purpose of this study was to analyze the plan quality and efficacy of automatically (AU) generated VMAT plans for inoperable esophageal cancer patients. Thirty-two consecutive inoperable patients with esophageal cancer originally treated with manually (MA) generated volumetric modulated arc therapy (VMAT) plans were retrospectively replanned using an auto-planning engine. All plans were optimized with one full 6MV VMAT arc giving 60 Gy to the primary target and 50 Gy to the elective target. The planning techniques were blinded before clinical evaluation by three specialized oncologists. To supplement the clinical evaluation, the optimization time for the AU plan was recorded along with DVH parameters for all plans. Upon clinical evaluation, the AU plan was preferred for 31/32 patients, and for one patient, there was no difference in the plans. In terms of DVH parameters, similar target coverage was obtained between the two planning methods. The mean dose for the spinal cord increased by 1.8 Gy using AU (p = .002), whereas the mean lung dose decreased by 1.9 Gy (p < .001). The AU plans were more modulated as seen by the increase of 12% in mean MUs (p = .001). The median optimization time for AU plans was 117 min. The AU plans were in general preferred and showed a lower mean dose to the lungs. The automation of the planning process generated esophageal cancer treatment plans quickly and with high quality.

Breast Cancer-Related Arm Lymphedema: Incidence Rates, Diagnostic Techniques, Optimal Management and Risk Reduction Strategies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shah, Chirag; Vicini, Frank A., E-mail: fvicini@beaumont.edu

As more women survive breast cancer, long-term toxicities affecting their quality of life, such as lymphedema (LE) of the arm, gain importance. Although numerous studies have attempted to determine incidence rates, identify optimal diagnostic tests, enumerate efficacious treatment strategies and outline risk reduction guidelines for breast cancer-related lymphedema (BCRL), few groups have consistently agreed on any of these issues. As a result, standardized recommendations are still lacking. This review will summarize the latest data addressing all of these concerns in order to provide patients and health care providers with optimal, contemporary recommendations. Published incidence rates for BCRL vary substantially withmore » a range of 2-65% based on surgical technique, axillary sampling method, radiation therapy fields treated, and the use of chemotherapy. Newer clinical assessment tools can potentially identify BCRL in patients with subclinical disease with prospective data suggesting that early diagnosis and management with noninvasive therapy can lead to excellent outcomes. Multiple therapies exist with treatments defined by the severity of BCRL present. Currently, the standard of care for BCRL in patients with significant LE is complex decongestive physiotherapy (CDP). Contemporary data also suggest that a multidisciplinary approach to the management of BCRL should begin prior to definitive treatment for breast cancer employing patient-specific surgical, radiation therapy, and chemotherapy paradigms that limit risks. Further, prospective clinical assessments before and after treatment should be employed to diagnose subclinical disease. In those patients who require aggressive locoregional management, prophylactic therapies and the use of CDP can help reduce the long-term sequelae of BCRL.« less

Addressing current challenges in cancer immunotherapy with mathematical and computational modelling.

PubMed

Konstorum, Anna; Vella, Anthony T; Adler, Adam J; Laubenbacher, Reinhard C

2017-06-01

The goal of cancer immunotherapy is to boost a patient's immune response to a tumour. Yet, the design of an effective immunotherapy is complicated by various factors, including a potentially immunosuppressive tumour microenvironment, immune-modulating effects of conventional treatments and therapy-related toxicities. These complexities can be incorporated into mathematical and computational models of cancer immunotherapy that can then be used to aid in rational therapy design. In this review, we survey modelling approaches under the umbrella of the major challenges facing immunotherapy development, which encompass tumour classification, optimal treatment scheduling and combination therapy design. Although overlapping, each challenge has presented unique opportunities for modellers to make contributions using analytical and numerical analysis of model outcomes, as well as optimization algorithms. We discuss several examples of models that have grown in complexity as more biological information has become available, showcasing how model development is a dynamic process interlinked with the rapid advances in tumour-immune biology. We conclude the review with recommendations for modellers both with respect to methodology and biological direction that might help keep modellers at the forefront of cancer immunotherapy development. © 2017 The Author(s).

A New Predictive Tool for Optimization of the Treatment of Brain Metastases from Colorectal Cancer After Stereotactic Radiosurgery.

PubMed

Rades, Dirk; Dahlke, Markus; Gebauer, Niklas; Bartscht, Tobias; Hornung, Dagmar; Trang, Ngo Thuy; Phuong, Pham Cam; Khoa, Mai Trong; Gliemroth, Jan

2015-10-01

To develop a predictive tool for survival after stereotactic radiosurgery of brain metastases from colorectal cancer. Out of nine factors analyzed for survival, those showing significance (p<0.05) or a trend (p≤0.06) were included. For each factor, 0 (worse survival) or 1 (better survival) point was assigned. Total scores represented the sum of the factor scores. Performance status (p=0.010) and interval from diagnosis of colorectal cancer until radiosurgery (p=0.026) achieved significance, extracranial metastases showed a trend (p=0.06). These factors were included in the tool. Total scores were 0-3 points. Six-month survival rates were 17% for patients with 0, 25% for those with 1, 67% for those with 2 and 100% for those with 3 points; 12-month rates were 0%, 0%, 33% and 67%, respectively. Two groups were created: 0-1 and 2-3 points. Six- and 12-month survival rates were 20% vs. 78% and 0% vs. 44% (p=0.002), respectively. This tool helps optimize the treatment of patients after stereotactic radiosurgery for brain metastases from colorectal cancer. Copyright© 2015 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Systems oncology: towards patient-specific treatment regimes informed by multiscale mathematical modelling.

PubMed

Powathil, Gibin G; Swat, Maciej; Chaplain, Mark A J

2015-02-01

The multiscale complexity of cancer as a disease necessitates a corresponding multiscale modelling approach to produce truly predictive mathematical models capable of improving existing treatment protocols. To capture all the dynamics of solid tumour growth and its progression, mathematical modellers need to couple biological processes occurring at various spatial and temporal scales (from genes to tissues). Because effectiveness of cancer therapy is considerably affected by intracellular and extracellular heterogeneities as well as by the dynamical changes in the tissue microenvironment, any model attempt to optimise existing protocols must consider these factors ultimately leading to improved multimodal treatment regimes. By improving existing and building new mathematical models of cancer, modellers can play important role in preventing the use of potentially sub-optimal treatment combinations. In this paper, we analyse a multiscale computational mathematical model for cancer growth and spread, incorporating the multiple effects of radiation therapy and chemotherapy in the patient survival probability and implement the model using two different cell based modelling techniques. We show that the insights provided by such multiscale modelling approaches can ultimately help in designing optimal patient-specific multi-modality treatment protocols that may increase patients quality of life. Copyright © 2014 Elsevier Ltd. All rights reserved.

Tailoring nanoparticle designs to target cancer based on tumor pathophysiology

PubMed Central

Sykes, Edward A.; Dai, Qin; Sarsons, Christopher D.; Chen, Juan; Rocheleau, Jonathan V.; Hwang, David M.; Zheng, Gang; Cramb, David T.; Rinker, Kristina D.; Chan, Warren C. W.

2016-01-01

Nanoparticles can provide significant improvements in the diagnosis and treatment of cancer. How nanoparticle size, shape, and surface chemistry can affect their accumulation, retention, and penetration in tumors remains heavily investigated, because such findings provide guiding principles for engineering optimal nanosystems for tumor targeting. Currently, the experimental focus has been on particle design and not the biological system. Here, we varied tumor volume to determine whether cancer pathophysiology can influence tumor accumulation and penetration of different sized nanoparticles. Monte Carlo simulations were also used to model the process of nanoparticle accumulation. We discovered that changes in pathophysiology associated with tumor volume can selectively change tumor uptake of nanoparticles of varying size. We further determine that nanoparticle retention within tumors depends on the frequency of interaction of particles with the perivascular extracellular matrix for smaller nanoparticles, whereas transport of larger nanomaterials is dominated by Brownian motion. These results reveal that nanoparticles can potentially be personalized according to a patient’s disease state to achieve optimal diagnostic and therapeutic outcomes. PMID:26884153

Bispecific small molecule-antibody conjugate targeting prostate cancer.

PubMed

Kim, Chan Hyuk; Axup, Jun Y; Lawson, Brian R; Yun, Hwayoung; Tardif, Virginie; Choi, Sei Hyun; Zhou, Quan; Dubrovska, Anna; Biroc, Sandra L; Marsden, Robin; Pinstaff, Jason; Smider, Vaughn V; Schultz, Peter G

2013-10-29

Bispecific antibodies, which simultaneously target CD3 on T cells and tumor-associated antigens to recruit cytotoxic T cells to cancer cells, are a promising new approach to the treatment of hormone-refractory prostate cancer. Here we report a site-specific, semisynthetic method for the production of bispecific antibody-like therapeutics in which a derivative of the prostate-specific membrane antigen-binding small molecule DUPA was selectively conjugated to a mutant αCD3 Fab containing the unnatural amino acid, p-acetylphenylalanine, at a defined site. Homogeneous conjugates were generated in excellent yields and had good solubility. The efficacy of the conjugate was optimized by modifying the linker structure, relative binding orientation, and stoichiometry of the ligand. The optimized conjugate showed potent and selective in vitro activity (EC50 ~ 100 pM), good serum half-life, and potent in vivo activity in prophylactic and treatment xenograft mouse models. This semisynthetic approach is likely to be applicable to the generation of additional bispecific agents using drug-like ligands selective for other cell-surface receptors.

Integrating epidemiology, psychology, and economics to achieve HPV vaccination targets.

PubMed

Basu, Sanjay; Chapman, Gretchen B; Galvani, Alison P

2008-12-02

Human papillomavirus (HPV) vaccines provide an opportunity to reduce the incidence of cervical cancer. Optimization of cervical cancer prevention programs requires anticipation of the degree to which the public will adhere to vaccination recommendations. To compare vaccination levels driven by public perceptions with levels that are optimal for maximizing the community's overall utility, we develop an epidemiological game-theoretic model of HPV vaccination. The model is parameterized with survey data on actual perceptions regarding cervical cancer, genital warts, and HPV vaccination collected from parents of vaccine-eligible children in the United States. The results suggest that perceptions of survey respondents generate vaccination levels far lower than those that maximize overall health-related utility for the population. Vaccination goals may be achieved by addressing concerns about vaccine risk, particularly those related to sexual activity among adolescent vaccine recipients. In addition, cost subsidizations and shifts in federal coverage plans may compensate for perceived and real costs of HPV vaccination to achieve public health vaccination targets.

Metabolic and nutritional aspects of cancer.

PubMed

Krawczyk, Joanna; Kraj, Leszek; Ziarkiewicz, Mateusz; Wiktor-Jędrzejczak, Wiesław

2014-08-22

Cancer, being in fact a generalized disease involving the whole organism, is most frequently associated with metabolic deregulation, a latent inflammatory state and anorexia of various degrees. The pathogenesis of this disorder is complex, with multiple dilemmas remaining unsolved. The clinical consequences of the above-mentioned disturbances include cancer-related cachexia and anorexia-cachexia syndrome. These complex clinical entities worsen the prognosis, and lead to deterioration of the quality of life and performance status, and thus require multimodal treatment. Optimal therapy should include nutritional support coupled with pharmacotherapy targeted at underlying pathomechanisms of cachexia. Nevertheless, many issues still need explanation, and efficacious and comprehensive therapy of cancer-related cachexia remains a future objective.

Adjuvant vaginal brachytherapy as a part of management in early endometrial cancer

PubMed Central

Wojcieszek, Piotr; Białas, Brygida

2012-01-01

Endometrial cancer is the most frequent cancer of female genital tract. Metro- and menorrhagia or postmenopausal bleeding results in its early presentation. It allows radical treatment. However, controversies remain on surgery coverage or adjuvant therapies in early endometrial women cancer. Optimal management should minimize intervention instead of aggressive approach, as showed by recent studies. There is a role for brachytherapy as an adjuvant irradiation. Crucial publications including PORTEC-1, GOG 99, MRC ASTEC, ASTEC/EN.5, PORTEC-2 or Italian lymphadenectomy trial are discussed. Moreover, there is attention paid on adjuvant vaginal brachytherapy analyses for the past fifteen years. PMID:23378855

Collusion in doctor-patient communication about imminent death: an ethnographic study

PubMed Central

The, Anne-Mei; Hak, Tony; Koëter, Gerard; van der Wal, Gerrit

2000-01-01

Objective To discover and explore the factors that result in “false optimism about recovery” observed in patients with small cell lung cancer. Design A qualitative observational (ethnographic) study in two stages over four years. Setting Lung diseases ward and outpatient clinic in university hospital in the Netherlands. Participants 35 patients with small cell lung cancer. Results “False optimism about recovery” usually developed during the (first) course of chemotherapy and was most prevalent when the cancer could no longer be seen in the x ray pictures. This optimism tended to vanish when the tumour recurred, but it could develop again, though to a lesser extent, during further courses of chemotherapy. Patients gradually found out the facts about their poor prognosis, partly because of physical deterioration and partly through contact with fellow patients who were in a more advanced stage of the illness and were dying. “False optimism about recovery” was the result an association between doctors' activism and patients' adherence to the treatment calendar and to the “recovery plot,” which allowed them not to acknowledge explicitly what they should and could know. The doctor did and did not want to pronounce a “death sentence” and the patient did and did not want to hear it. Conclusion Solutions to the problem of collusion between doctor and patient require an active, patient oriented approach from the doctor. Perhaps solutions have to be found outside the doctor-patient relationship itself   —   for example, by involving “treatment brokers.” PMID:11099281

Is there a subset of patients with recurrent cancer in the vagina who are not candidates for interstitial brachytherapy that can be treated with multichannel vaginal brachytherapy using graphic optimization?

PubMed

Singh, Deepinder P; Bylund, Kevin C; Matloubieh, Ahmad; Mazloom, Ali; Gray, Alexander; Sidhu, Ravinder; Barrette, Lucille; Chen, Yuhchyau

2015-04-01

To evaluate recurrent vaginal cancer treated with vaginal brachytherapy (VBT) using graphic optimization in patients not amenable to surgery and interstitial brachytherapy (ISBT). We retrospectively reviewed the records of 5 patients with recurrent cancer in the vagina that were deemed not to be good candidates for ISBT implant because of medical reasons. All patients received computed tomography/magnetic resonance imaging (CT/MRI) based evaluation in addition to a detailed clinical examination, and were noted to have recurrent nodules in the vagina with size ranging from 10-25 mm. Four of the 5 patients had recurrent disease in the vaginal apex, whereas one patient had recurrence in the lateral vaginal wall. Subsequently, all patients were treated with external beam radiation therapy (EBRT) followed by multichannel vaginal cylinder (MVC)-based VBT using graphic optimization for shaping the isodose to improve the clinical target volume (CTV) coverage, as well as to spare the organs at risk (OAR). The dose to the bladder and rectum with regard to 0.1 cc, 1 cc, and 2 cc were recorded. Median age of the patients was 78 years (range 58-86 years). Thickness of the lesions before VBT ranged from 6-15 mm. All patients were followed up with MRI at 3 months. All patients but one demonstrated complete clinical/ radiological response of the tumor. No patient had any grade III/IV toxicity at 24 months. MVC-based VBT using graphic optimization is safe and yields favorable results if used judiciously.

The Changing Landscape of Genetic Testing for Inherited Breast Cancer Predisposition.

PubMed

Afghahi, Anosheh; Kurian, Allison W

2017-05-01

The advent of multiple-gene germline panel testing has led to significant advances in hereditary breast and ovarian cancer risk assessment. These include guideline-specific cancer risk management recommendations for patients and their families, such as screening with breast magnetic resonance imaging and risk-reducing surgeries, which have the potential to reduce substantially the morbidity and mortality associated with a hereditary cancer predisposition. However, controversy remains about the clinical validity and actionability of genetic testing in a broader patient population. We discuss events leading to the wider availability of commercialized multiple-gene germline panel testing, the recent data that support using this powerful tool to improve cancer risk assessment and reduction strategies, and remaining challenges to clinical optimization of this new genetic technology.

Impact of Survivorship-Based Research on Defining Clinical Care Guidelines

PubMed Central

Hudson, Melissa M.; Landier, Wendy; Ganz, Patricia A.

2011-01-01

The growing number of individuals living 5 or more years from cancer diagnosis underscores the importance of providing guidance about potential late treatment effects to clinicians caring for long-term cancer survivors. Late treatment effects are commonly experienced by cancer survivors, increase in prevalence with aging, produce substantial morbidity, and predispose to early mortality. Findings from survivorship research permit providers to anticipate health risks among predisposed survivors and facilitate their access to interventions to prevent, detect, or rehabilitate cancer-related morbidity. This manuscript reviews the impact that survivorship research has made in defining clinical care guidelines and the challenges that remain in developing and translating research findings into health screening recommendations that can optimize the quality and duration of survival after cancer. PMID:21980016

Oral and dental management for head and neck cancer patients treated by chemotherapy and radiotherapy.

PubMed

McCaul, Lorna K

2012-03-01

The incidence of head and neck cancer is rising. The attendant oral complications of cancer management make oral health maintenance a lifelong challenge for these patients. Holistic management in the context of a core multidisciplinary team is essential in optimizing outcomes. Predicting the risk of adverse oral outcomes is difficult. Effective communication between healthcare professionals in the core and extended teams and with the patient is essential. Primary care dental teams will be involved in the long-term management of oral care for head and cancer patients. A broad understanding of the management of head and neck cancer, consequences of treatment and the need for good communication is key to good quality patient care.

The comparative oncologic effectiveness of available management strategies for clinically localized prostate cancer.

PubMed

Tyson, Mark D; Penson, David F; Resnick, Matthew J

2017-02-01

The primary goal of modern prostate cancer treatment paradigms is to optimize the balance of predicted benefits associated with prostate cancer treatment against the predicted harms of therapy. However, given the limitations in the existing evidence as well as the significant tradeoffs posed by each treatment, there remain myriad challenges associated with individualized prostate cancer treatment decision-making. In this review, we summarize the existing comparative effectiveness evidence of treatments for localized prostate cancer with an emphasis on oncologic control. While we focus on the major treatment categories of radical prostatectomy, radiation therapy, and observation, we also provide a review of emerging therapies such as cryotherapy and high-intensity frequency ultrasound (HIFU). Copyright © 2017 Elsevier Inc. All rights reserved.

Designing and building oncolytic viruses

PubMed Central

Maroun, Justin; Muñoz-Alía, Miguel; Ammayappan, Arun; Schulze, Autumn; Peng, Kah-Whye; Russell, Stephen

2017-01-01

Oncolytic viruses (OVs) are engineered and/or evolved to propagate selectively in cancerous tissues. They have a dual mechanism of action; direct killing of infected cancer cells cross-primes anticancer immunity to boost the killing of uninfected cancer cells. The goal of the field is to develop OVs that are easily manufactured, efficiently delivered to disseminated sites of cancer growth, undergo rapid intratumoral spread, selectively kill tumor cells, cause no collateral damage and pose no risk of transmission in the population. Here we discuss the many virus engineering strategies that are being pursued to optimize delivery, intratumoral spread and safety of OVs derived from different virus families. With continued progress, OVs have the potential to transform the paradigm of cancer care. PMID:29387140

Intraoperative radiotherapy and colorectal cancer.

PubMed

Yeung, J M C; Ngan, S; Lynch, C; Heriot, A G

2010-04-01

Intraoperative radiotherapy (IORT) is a highly specialized component of multidisciplinary management of advanced and recurrent colorectal cancer. The aim of this review was to assess its role and effectiveness in the management of colorectal cancer. A literature search was performed using Medline, Embase, Ovid and Cochrane to identify English language studies which have used IORT in the multidisciplinary management of primary and recurrent colon and rectal cancers. Improved survival and local control in patients with involved surgical margins treated with IORT have been shown in many studies, but these results have been mainly from retrospective studies. There is associated morbidity from IORT. IORT does have a role in the management of colorectal cancer. Further research needs to be performed to optimize the application of this therapy.

Gold nanoparticle mediated membrane permeabilization of phytochemicals into breast cancer cells

NASA Astrophysics Data System (ADS)

Chen, Feifei

Breast cancer is one of the most common cancers in women with a very high incident rate, especially for those women who are between 40-60 years old. Most drugs are large or non-polar macromolecules, which cannot get into cancer cells autonomously, so a method that can deliver those drugs is very important. Optoporation method has been facilitated with gold nanoparticles, which are bound to breast cancer cells, and then absorb the optical energy to improve the membrane permeabilization. Long-term dietary consumption of fruits and vegetables high in beta-carotene and other phytochemicals has been shown beneficial in terms of anti-cancer, anti-aging, preventing cardiovascular disease and cataract. However they are large non-polar molecules that are difficult to enter the cancer cells. Here in this study, we applied optoporation method by using beta-carotene, and tetracycline as anti-cancer drugs in various concentrations to optimize highest selective cell death/best potential for T47D breast cancer cell lines.

The role of Human Papilloma Virus (HPV) vaccination in the prevention of anal cancer in individuals with Human Immunodeficiency Virus-1 (HIV-1) infection

PubMed Central

2013-01-01

The incidence of anal cancer is increasing in the general population and especially in high-risk groups. A total of 90% of anal cancers are caused by human papilloma virus (HPV) infection of the anal canal. Similar to cervical cancer, anal cancer progresses through a predictable series of premalignant stages before resulting in invasive cancer; this process begins with persistent HPV infection. The HPV vaccine represents a promising strategy to combat the increasing incidence of anal cancer. Human Immunodeficiency Virus (HIV) predisposes people to persistent HPV infection, dysplasia, and subsequent anal cancer. Patients infected with HIV should be targeted for vaccination against HPV. There are difficulties in targeting this population, the most notable being that the optimal age for vaccination is prior to identification with any high-risk groups. Universal vaccination against HPV represents the best strategy to achieve maximum protection against anal cancer in high-risk groups. PMID:24757517

Design, synthesis and optimization of bis-amide derivatives as CSF1R inhibitors.

PubMed

Ramachandran, Sreekanth A; Jadhavar, Pradeep S; Miglani, Sandeep K; Singh, Manvendra P; Kalane, Deepak P; Agarwal, Anil K; Sathe, Balaji D; Mukherjee, Kakoli; Gupta, Ashu; Haldar, Srijan; Raja, Mohd; Singh, Siddhartha; Pham, Son M; Chakravarty, Sarvajit; Quinn, Kevin; Belmar, Sebastian; Alfaro, Ivan E; Higgs, Christopher; Bernales, Sebastian; Herrera, Francisco J; Rai, Roopa

2017-05-15

Signaling via the receptor tyrosine kinase CSF1R is thought to play an important role in recruitment and differentiation of tumor-associated macrophages (TAMs). TAMs play pro-tumorigenic roles, including the suppression of anti-tumor immune response, promotion of angiogenesis and tumor cell metastasis. Because of the role of this signaling pathway in the tumor microenvironment, several small molecule CSF1R kinase inhibitors are undergoing clinical evaluation for cancer therapy, either as a single agent or in combination with other cancer therapies, including immune checkpoint inhibitors. Herein we describe our lead optimization effort that resulted in the identification of a potent, cellular active and orally bioavailable bis-amide CSF1R inhibitor. Docking and biochemical analysis allowed the removal of a metabolically labile and poorly permeable methyl piperazine group from an early lead compound. Optimization led to improved metabolic stability and Caco2 permeability, which in turn resulted in good oral bioavailability in mice. Copyright © 2017 Elsevier Ltd. All rights reserved.

Optimization of Antitumor Modulators of Pre-mRNA Splicing

PubMed Central

Lagisetti, Chandraiah; Palacios, Gustavo; Goronga, Tinopiwa; Freeman, Burgess; Caufield, William; Webb, Thomas R.

2014-01-01

The spliceosome regulates pre-mRNA splicing, which is a critical process in normal mammalian cells. Recently recurrent mutations in numerous spliceosomal proteins have been associated with a number of cancers. Previously natural product antitumor agents have been shown to interact with one of the proteins that is subject to recurrent mutations (SF3B1). We report the optimization of a class of tumor-selective spliceosome modulators, which demonstrate significant in vivo antitumor activity. This optimization culminated in the discovery of sudemycin D6, which shows potent cytotoxic activity in the melanoma line SK-MEL-2 (IC50= 39 nM) and other tumor lines, including: JeKo-1 (IC50= 26 nM), HeLa (IC50= 50 nM), and SK-N-AS (IC50= 81 nM). We also report improved processes for the synthesis of these compounds. Our work supports the idea that sudemycin D6 is worthy of further investigation as a novel preclinical anticancer agent with application in the treatment of numerous human cancers. PMID:24325474

Selective arylsulfonamide inhibitors of ADAM-17: hit optimization and activity in ovarian cancer cell models.

PubMed

Nuti, Elisa; Casalini, Francesca; Santamaria, Salvatore; Fabbi, Marina; Carbotti, Grazia; Ferrini, Silvano; Marinelli, Luciana; La Pietra, Valeria; Novellino, Ettore; Camodeca, Caterina; Orlandini, Elisabetta; Nencetti, Susanna; Rossello, Armando

2013-10-24

Activated leukocyte cell adhesion molecule (ALCAM) is expressed at the surface of epithelial ovarian cancer (EOC) cells and is released in a soluble form (sALCAM) by ADAM-17-mediated shedding. This process is relevant to EOC cell motility and invasiveness, which is reduced by inhibitors of ADAM-17. In addition, ADAM-17 plays a key role in EGFR signaling and thus may represent a useful target in anticancer therapy. Herein we report our hit optimization effort to identify potent and selective ADAM-17 inhibitors, starting with previously identified inhibitor 1. A new series of secondary sulfonamido-based hydroxamates was designed and synthesized. The biological activity of the newly synthesized compounds was tested in vitro on isolated enzymes and human EOC cell lines. The optimization process led to compound 21, which showed an IC50 of 1.9 nM on ADAM-17 with greatly increased selectivity. This compound maintained good inhibitory properties on sALCAM shedding in several in vitro assays.

Optimal policies of non-cross-resistant chemotherapy on Goldie and Coldman's cancer model.

PubMed

Chen, Jeng-Huei; Kuo, Ya-Hui; Luh, Hsing Paul

2013-10-01

Mathematical models can be used to study the chemotherapy on tumor cells. Especially, in 1979, Goldie and Coldman proposed the first mathematical model to relate the drug sensitivity of tumors to their mutation rates. Many scientists have since referred to this pioneering work because of its simplicity and elegance. Its original idea has also been extended and further investigated in massive follow-up studies of cancer modeling and optimal treatment. Goldie and Coldman, together with Guaduskas, later used their model to explain why an alternating non-cross-resistant chemotherapy is optimal with a simulation approach. Subsequently in 1983, Goldie and Coldman proposed an extended stochastic based model and provided a rigorous mathematical proof to their earlier simulation work when the extended model is approximated by its quasi-approximation. However, Goldie and Coldman's analytic study of optimal treatments majorly focused on a process with symmetrical parameter settings, and presented few theoretical results for asymmetrical settings. In this paper, we recast and restate Goldie, Coldman, and Guaduskas' model as a multi-stage optimization problem. Under an asymmetrical assumption, the conditions under which a treatment policy can be optimal are derived. The proposed framework enables us to consider some optimal policies on the model analytically. In addition, Goldie, Coldman and Guaduskas' work with symmetrical settings can be treated as a special case of our framework. Based on the derived conditions, this study provides an alternative proof to Goldie and Coldman's work. In addition to the theoretical derivation, numerical results are included to justify the correctness of our work. Copyright © 2013 Elsevier Inc. All rights reserved.

Three-Dimensional Microwave Hyperthermia for Breast Cancer Treatment in a Realistic Environment Using Particle Swarm Optimization.

PubMed

Nguyen, Phong Thanh; Abbosh, Amin; Crozier, Stuart

2017-06-01

In this paper, a technique for noninvasive microwave hyperthermia treatment for breast cancer is presented. In the proposed technique, microwave hyperthermia of patient-specific breast models is implemented using a three-dimensional (3-D) antenna array based on differential beam-steering subarrays to locally raise the temperature of the tumor to therapeutic values while keeping healthy tissue at normal body temperature. This approach is realized by optimizing the excitations (phases and amplitudes) of the antenna elements using the global optimization method particle swarm optimization. The antennae excitation phases are optimized to maximize the power at the tumor, whereas the amplitudes are optimized to accomplish the required temperature at the tumor. During the optimization, the technique ensures that no hotspots exist in healthy tissue. To implement the technique, a combination of linked electromagnetic and thermal analyses using MATLAB and the full-wave electromagnetic simulator is conducted. The technique is tested at 4.2 GHz, which is a compromise between the required power penetration and focusing, in a realistic simulation environment, which is built using a 3-D antenna array of 4 × 6 unidirectional antenna elements. The presented results on very dense 3-D breast models, which have the realistic dielectric and thermal properties, validate the capability of the proposed technique in focusing power at the exact location and volume of tumor even in the challenging cases where tumors are embedded in glands. Moreover, the models indicate the capability of the technique in dealing with tumors at different on- and off-axis locations within the breast with high efficiency in using the microwave power.

[Available resources for the treatment of breast cancer in Mexico].

PubMed

Mohar, Alejandro; Bargalló, Enrique; Ramírez, Ma Teresa; Lara, Fernando; Beltrán-Ortega, Arturo

2009-01-01

Describe the resources for the treatment of breast cancer in Mexico. Information was obtained from 23 Centros Estatales de Cáncer (State Cancer Centers, CEC), two federal hospitals and Cancerología. This study was performed in Mexico City in August/September of 2008. These 23 centers provide medical care for breast cancer including surgery, chemotherapy and radiotherapy; all of them validated by the Seguro Popular. The costs were defined according to clinical stage and ranged from $27,500.00 pesos for clinical stage 0 to $480,00.00 in the advanced stage. A total of 2 689 women with breast cancer have been treated; only 1% was reported with in situ carcinoma. An adequate medical infrastructure is in place to treat breast cancer in Mexico. The costs are high due to late diagnosis of the disease. Early detection of breast cancer is a high priority for optimal control of this disease in Mexico.

Incorporating Geriatric Medicine Providers into the Care of the Older Adult with Cancer.

PubMed

Magnuson, Allison; Canin, Beverly; van Londen, G J; Edwards, Beatrice; Bakalarski, Pamela; Parker, Ira

2016-11-01

A significant proportion of cancer patients and survivors are age 65 and over. Older adults with cancer often have more complex medical and social needs than their younger counterparts. Geriatric medicine providers (GMPs) such as geriatricians, geriatric-trained advanced practice providers, and geriatric certified registered nurses have expertise in caring for older adults, managing complex medical situations, and optimizing function and independence for this population. GMPs are not routinely incorporated into cancer care for older adults; however, their particular skill set may add benefit at many points along the cancer care continuum. In this article, we review the role of geriatric assessment in the care of older cancer patients, highlight specific case scenarios in which GMPs may offer additional understanding and insight in the care of older adults with cancer, and discuss specific mechanisms for incorporating GMPs into oncology care.

Bone Marrow-derived Mesenchymal Stem Cells (MSCs) as a Selective Delivery Vehicle for a PSA-Activated Protoxin for Advanced Prostate Cancer

DTIC Science & Technology

2013-03-01

tissue have been optimized • Optimization of flow cytometry-based analyses to characterize co- incident expression of multiple MSC-related markers on a...CA). Mouse anti-human vimentin (clone LN-6) was purchased from Sigma-Aldrich (St. Louis, MO). Goat anti-mouse Alexa Fluor 488, Roswell Park

Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.

PubMed

Mathieson, Luke; Mendes, Alexandre; Marsden, John; Pond, Jeffrey; Moscato, Pablo

2017-01-01

This chapter introduces a new method for knowledge extraction from databases for the purpose of finding a discriminative set of features that is also a robust set for within-class classification. Our method is generic and we introduce it here in the field of breast cancer diagnosis from digital mammography data. The mathematical formalism is based on a generalization of the k-Feature Set problem called (α, β)-k-Feature Set problem, introduced by Cotta and Moscato (J Comput Syst Sci 67(4):686-690, 2003). This method proceeds in two steps: first, an optimal (α, β)-k-feature set of minimum cardinality is identified and then, a set of classification rules using these features is obtained. We obtain the (α, β)-k-feature set in two phases; first a series of extremely powerful reduction techniques, which do not lose the optimal solution, are employed; and second, a metaheuristic search to identify the remaining features to be considered or disregarded. Two algorithms were tested with a public domain digital mammography dataset composed of 71 malignant and 75 benign cases. Based on the results provided by the algorithms, we obtain classification rules that employ only a subset of these features.

Curcumin loaded pH-sensitive nanoparticles for the treatment of colon cancer.

PubMed

Prajakta, Dandekar; Ratnesh, Jain; Chandan, Kumar; Suresh, Subramanian; Grace, Samuel; Meera, Venkatesh; Vandana, Patravale

2009-10-01

The investigation was aimed at designing pH-sensitive, polymeric nanoparticles of curcumin, a natural anti-cancer agent, for the treatment of colon cancer. The objective was to enhance the bioavailability of curcumin, simultaneously reducing the required dose through selective targeting to colon. Eudragit S100 was chosen to aid targeting since the polymer dissolves at colonic pH to result in selective colonic release of the entrapped drug. Solvent emulsion-evaporation technique was employed to formulate the nanoparticles. Various process parameters were optimized and the optimized formulation was evaluated for particle size distribution and encapsulation efficiency before subjecting to freeze-drying. The freeze dried product was characterized for particle size, drug content, DSC studies, particle morphology. Anti-cancer potential of the formulation was demonstrated by MTT assay in HT-29 cell line. Nanometric, homogeneous, spherical particles were obtained with encapsulation efficiency of 72%. Freeze-dried nanoparticles exhibited a negative surface charge, drug content of > 99% and presence of drug in amorphous form which may result in possible enhanced absorption. MTT assay demonstrated almost double inhibition of the cancerous cells by nanoparticles, as compared to curcumin alone, at the concentrations tested. Enhanced action may be attributed to size influenced improved cellular uptake, and may result in reduction of overall dose requirement. Results indicate the potential for in vivo studies to establish the clinical application of the formulation.

Cost-effectiveness of cervical cancer screening with primary human papillomavirus testing in Norway.

PubMed

Burger, E A; Ortendahl, J D; Sy, S; Kristiansen, I S; Kim, J J

2012-04-24

New screening technologies and vaccination against human papillomavirus (HPV), the necessary cause of cervical cancer, may impact optimal approaches to prevent cervical cancer. We evaluated the cost-effectiveness of alternative screening strategies to inform cervical cancer prevention guidelines in Norway. We leveraged the primary epidemiologic and economic data from Norway to contextualise a simulation model of HPV-induced cervical cancer. The current cytology-only screening was compared with strategies involving cytology at younger ages and primary HPV-based screening at older ages (31/34+ years), an option being actively deliberated by the Norwegian government. We varied the switch-age, screening interval, and triage strategies for women with HPV-positive results. Uncertainty was evaluated in sensitivity analysis. Current cytology-only screening was less effective and more costly than strategies that involve switching to primary HPV testing in older ages. For unvaccinated women, switching at age 34 years to primary HPV testing every 4 years was optimal given the Norwegian cost-effectiveness threshold ($83,000 per year of life saved). For vaccinated women, a 6-year screening interval was cost-effective. When we considered a wider range of strategies, we found that an earlier switch to HPV testing (at age 31 years) may be preferred. Strategies involving a switch to HPV testing for primary screening in older women is expected to be cost-effective compared with current recommendations in Norway.

Identification of potential compensatory muscle strategies in a breast cancer survivor population: A combined computational and experimental approach.

PubMed

Chopp-Hurley, Jaclyn N; Brookham, Rebecca L; Dickerson, Clark R

2016-12-01

Biomechanical models are often used to estimate the muscular demands of various activities. However, specific muscle dysfunctions typical of unique clinical populations are rarely considered. Due to iatrogenic tissue damage, pectoralis major capability is markedly reduced in breast cancer population survivors, which could influence arm internal and external rotation muscular strategies. Accordingly, an optimization-based muscle force prediction model was systematically modified to emulate breast cancer population survivors through adjusting pectoralis capability and enforcing an empirical muscular co-activation relationship. Model permutations were evaluated through comparisons between predicted muscle forces and empirically measured muscle activations in survivors. Similarities between empirical data and model outputs were influenced by muscle type, hand force, pectoralis major capability and co-activation constraints. Differences in magnitude were lower when the co-activation constraint was enforced (-18.4% [31.9]) than unenforced (-23.5% [27.6]) (p<0.0001). This research demonstrates that muscle dysfunction in breast cancer population survivors can be reflected through including a capability constraint for pectoralis major. Further refinement of the co-activation constraint for survivors could improve its generalizability across this population and activities. Improving biomechanical models to more accurately represent clinical populations can provide novel information that can help in the development of optimal treatment programs for breast cancer population survivors. Copyright © 2016 Elsevier Ltd. All rights reserved.

Optimize radiochemotherapy in pancreatic cancer: PARP inhibitors a new therapeutic opportunity.

PubMed

Porcelli, Letizia; Quatrale, Anna E; Mantuano, Paola; Leo, Maria G; Silvestris, Nicola; Rolland, Jean F; Carioggia, Enza; Lioce, Marco; Paradiso, Angelo; Azzariti, Amalia

2013-06-01

Cancer cells may use PARP enzymes and Homologous Recombination to repair single and double strand breaks caused by genotoxic insults. In this study, the PARP-1 inhibitor Rucaparib was utilized to increase the sensitivity to chemoradiotherapy treatment in BRCA-2-deficient and -proficient pancreatic cancer cells. We used the pancreatic cancer cell lines, Capan-1 with mutated BRCA-2 and Panc-1, AsPC-1 and MiaPaCa-2 with BRCA-1/2 wild type. Cells were treated with Rucaparib and/or radiotherapy (4-10 Gy) plus Gemcitabine then the capability to proliferate was evaluated by colony formation, cell counting and MTT assays. Flow cytometry, immunocytochemistry and western blotting were utilized to assess cell response to Rucaparib plus irradiation. The antitumour effectiveness of combining the PARP-1 inhibitor before, together and after radiotherapy evidenced the first as the optimal schedule in blocking cell growth. Pre-exposure to Rucaparib increased the cytotoxicity of Gemcitabine plus radiotherapy by heavily inducing the accumulation of cells in G2/M phase, impairing mitosis and finally inducing apoptosis and authophagy. The upregulation of p-Akt and downregulation of p53 were evidenced in MiaPaCa-2 which displayed replication stress features. For the first time, the rationale of using a PARP inhibitor as chemoradiosensitizer in pancreatic cancer models has been hypothesized and demonstrated. Copyright © 2012 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Integration of Palliative Care Into Comprehensive Cancer Treatment at Moi Teaching and Referral Hospital in Western Kenya

PubMed Central

Kipsang, Susan; Gramelspacher, Gregory; Choi, Eunyoung; Brown, Colleen; Hill, Adam B.; Loehrer, Patrick J.; Busakhala, Naftali; Chite Asirwa, F.

2015-01-01

Purpose The prognosis for the majority of patients with cancer in Kenya is poor, with most patients presenting with advanced disease. In addition, many patients are unable to afford the optimal therapies required. Therefore, palliative care is an essential part of comprehensive cancer care. This study reviews the implementation of a palliative care service based at the Moi Teaching and Referral Hospital in Eldoret, Kenya, and describes the current scope and challenges of providing palliative care services in an East African tertiary public referral hospital. Methods This is a review of the palliative care clinical services at the only tertiary public referral hospital in western Kenya from January 2012 through September 2014. Palliative care team members documented each patient's encounter on standardized palliative care assessment forms; data were then entered into the Academic Model Providing Access to Health Care (AMPATH)-Oncology database. Interviews were also conducted to identify current challenges and opportunities for program improvement. Results This study documents the implementation of a palliative care service line in Eldoret, Kenya. Barriers to providing optimal palliative cancer care include distance to pharmacies that stock opioids, limited selection of opioid preparations, education of health care workers in palliative care, access to palliative chemoradiation, and limited availability of outpatient and inpatient hospice services. Conclusion Palliative care services in Eldoret, Kenya, have become a key component of its comprehensive cancer treatment program. PMID:28804768

Integration of Palliative Care Into Comprehensive Cancer Treatment at Moi Teaching and Referral Hospital in Western Kenya.

PubMed

Cornetta, Kenneth; Kipsang, Susan; Gramelspacher, Gregory; Choi, Eunyoung; Brown, Colleen; Hill, Adam B; Loehrer, Patrick J; Busakhala, Naftali; Chite Asirwa, F

2015-10-01

The prognosis for the majority of patients with cancer in Kenya is poor, with most patients presenting with advanced disease. In addition, many patients are unable to afford the optimal therapies required. Therefore, palliative care is an essential part of comprehensive cancer care. This study reviews the implementation of a palliative care service based at the Moi Teaching and Referral Hospital in Eldoret, Kenya, and describes the current scope and challenges of providing palliative care services in an East African tertiary public referral hospital. This is a review of the palliative care clinical services at the only tertiary public referral hospital in western Kenya from January 2012 through September 2014. Palliative care team members documented each patient's encounter on standardized palliative care assessment forms; data were then entered into the Academic Model Providing Access to Health Care (AMPATH)-Oncology database. Interviews were also conducted to identify current challenges and opportunities for program improvement. This study documents the implementation of a palliative care service line in Eldoret, Kenya. Barriers to providing optimal palliative cancer care include distance to pharmacies that stock opioids, limited selection of opioid preparations, education of health care workers in palliative care, access to palliative chemoradiation, and limited availability of outpatient and inpatient hospice services. Palliative care services in Eldoret, Kenya, have become a key component of its comprehensive cancer treatment program.

Discrete Biogeography Based Optimization for Feature Selection in Molecular Signatures.

PubMed

Liu, Bo; Tian, Meihong; Zhang, Chunhua; Li, Xiangtao

2015-04-01

Biomarker discovery from high-dimensional data is a complex task in the development of efficient cancer diagnoses and classification. However, these data are usually redundant and noisy, and only a subset of them present distinct profiles for different classes of samples. Thus, selecting high discriminative genes from gene expression data has become increasingly interesting in the field of bioinformatics. In this paper, a discrete biogeography based optimization is proposed to select the good subset of informative gene relevant to the classification. In the proposed algorithm, firstly, the fisher-markov selector is used to choose fixed number of gene data. Secondly, to make biogeography based optimization suitable for the feature selection problem; discrete migration model and discrete mutation model are proposed to balance the exploration and exploitation ability. Then, discrete biogeography based optimization, as we called DBBO, is proposed by integrating discrete migration model and discrete mutation model. Finally, the DBBO method is used for feature selection, and three classifiers are used as the classifier with the 10 fold cross-validation method. In order to show the effective and efficiency of the algorithm, the proposed algorithm is tested on four breast cancer dataset benchmarks. Comparison with genetic algorithm, particle swarm optimization, differential evolution algorithm and hybrid biogeography based optimization, experimental results demonstrate that the proposed method is better or at least comparable with previous method from literature when considering the quality of the solutions obtained. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Recent advances in cancer therapy.

PubMed

Mercado, I; Baez, L; Caceres, W

1997-01-01

The treatment of cancer has developed substantially from its conception in the first years of the 20th century. Since the introduction of alkylating agents during second World War, the oncology specialty has markedly grown. In the recent years, new drugs have been approved for the treatment of cancer. Such examples include the taxanes (Docetaxel and Paclitaxel), Vinorelbine, Irinotecan, Topotecan, Gemcitabine and Gliadel. We will discuss these new chemotherapuetic agents, their pharmacology, indications, toxicity and appropriate dosing. There is no doubt that further clinical research is needed to determine the optimal use of these agents.

Cancer literacy as a mediator for cancer screening behaviour in Korean adults.

PubMed

Lee, Hee Yun; Rhee, Taeho Greg; Kim, Nam Keol

2016-09-01

This study investigates the cancer literacy level in Korean adults and examines whether cancer literacy plays a mediating role in the relationship between population characteristics and cancer screening behaviours. We collected data from 585 community-dwelling adults in Korea using self-administered surveys and face-to-face interviews from October to December in 2009. Guided by Andersen's behavioural model, we used a structural equation model to estimate the effect of cancer literacy as a mediator and found that cancer literacy mediated cancer screening behaviour. In the individual path analysis models, cancer literacy played a significant mediating role for the use of eastern medicine, fatalism, health status and the number of chronic diseases. When controlling for other relevant covariates, we found that in the optimal path model, cancer literacy played a mediating role in the relationship between the use of eastern medicine and self-rated health status as well as cancer screening behaviour. Thus, developing community-based cancer education programmes and training clinical practitioners in eastern medicine clinics about the importance of informing their patients about regular cancer screening may be an option to boost cancer literacy and screening behaviour in Korea. © 2015 John Wiley & Sons Ltd.

Capture, Release and Culture of Circulating Tumor Cells from Pancreatic Cancer Patients using an Enhanced Mixing Chip

PubMed Central

Sheng, Weian; Ogunwobi, Olorunseun O.; Chen, Tao; Zhang, Jinling; George, Thomas J.; Liu, Chen; Fan, Z. Hugh

2013-01-01

Circulating tumor cells (CTCs) from peripheral blood hold important information for cancer diagnosis and disease monitoring. Analysis of this “liquid biopsy” holds the promise to usher in a new era of personalized therapeutic treatments and real-time monitoring for cancer patients. But the extreme rarity of CTCs in blood makes their isolation and characterization technologically challenging. This paper reports the development of a geometrically enhanced mixing (GEM) chip for high-efficiency and high-purity tumor cell capture. We also successfully demonstrated the release and culture of the captured tumor cells, as well as the isolation of CTCs from cancer patients. The high-performance microchip is based on geometrically optimized micromixer structures, which enhance the transverse flow and flow folding, maximizing the interaction between CTCs and antibody-coated surfaces. With the optimized channel geometry and flow rate, the capture efficiency reached >90% with a purity of >84% when capturing spiked tumor cells in buffer. The system was further validated by isolating a wide range of spiked tumor cells (50–50,000) in 1 mL of lysed blood and whole blood. With the combination of trypsinization and high flow rate washing, captured tumor cells were efficiently released. The released cells were viable and able to proliferate, and showed no difference compared with intact cells that were not subjected to the capture and release process. Furthermore, we applied the device for detecting CTCs from metastatic pancreatic cancer patients’ blood; and CTCs were found from 17 out of 18 samples (>94%). We also tested the potential utility of the device in monitoring the response to anti-cancer drug treatment in pancreatic cancer patients, and the CTC numbers correlated with the clinical computed tomograms (CT scans) of tumors. The presented technology shows great promise for accurate CTC enumeration, biological studies of CTCs and cancer metastasis, as well as for cancer diagnosis and treatment monitoring. PMID:24220648

Protein and glycomic plasma markers for early detection of adenoma and colon cancer.

PubMed

Rho, Jung-Hyun; Ladd, Jon J; Li, Christopher I; Potter, John D; Zhang, Yuzheng; Shelley, David; Shibata, David; Coppola, Domenico; Yamada, Hiroyuki; Toyoda, Hidenori; Tada, Toshifumi; Kumada, Takashi; Brenner, Dean E; Hanash, Samir M; Lampe, Paul D

2018-03-01

To discover and confirm blood-based colon cancer early-detection markers. We created a high-density antibody microarray to detect differences in protein levels in plasma from individuals diagnosed with colon cancer <3 years after blood was drawn (ie, prediagnostic) and cancer-free, matched controls. Potential markers were tested on plasma samples from people diagnosed with adenoma or cancer, compared with controls. Components of an optimal 5-marker panel were tested via immunoblotting using a third sample set, Luminex assay in a large fourth sample set and immunohistochemistry (IHC) on tissue microarrays. In the prediagnostic samples, we found 78 significantly (t-test) increased proteins, 32 of which were confirmed in the diagnostic samples. From these 32, optimal 4-marker panels of BAG family molecular chaperone regulator 4 (BAG4), interleukin-6 receptor subunit beta (IL6ST), von Willebrand factor (VWF) and CD44 or epidermal growth factor receptor (EGFR) were established. Each panel member and the panels also showed increases in the diagnostic adenoma and cancer samples in independent third and fourth sample sets via immunoblot and Luminex, respectively. IHC results showed increased levels of BAG4, IL6ST and CD44 in adenoma and cancer tissues. Inclusion of EGFR and CD44 sialyl Lewis-A and Lewis-X content increased the panel performance. The protein/glycoprotein panel was statistically significantly higher in colon cancer samples, characterised by a range of area under the curves from 0.90 (95% CI 0.82 to 0.98) to 0.86 (95% CI 0.83 to 0.88), for the larger second and fourth sets, respectively. A panel including BAG4, IL6ST, VWF, EGFR and CD44 protein/glycomics performed well for detection of early stages of colon cancer and should be further examined in larger studies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Cancer control in developing countries: using health data and health services research to measure and improve access, quality and efficiency

PubMed Central

2010-01-01

Background Cancer is a rapidly increasing problem in developing countries. Access, quality and efficiency of cancer services in developing countries must be understood to advance effective cancer control programs. Health services research can provide insights into these areas. Discussion This article provides an overview of oncology health services in developing countries. We use selected examples from peer-reviewed literature in health services research and relevant publicly available documents. In spite of significant limitations in the available data, it is clear there are substantial barriers to access to cancer control in developing countries. This includes prevention, early detection, diagnosis/treatment and palliation. There are also substantial limitations in the quality of cancer control and a great need to improve economic efficiency. We describe how the application of health data may assist in optimizing (1) Structure: strengthening planning, collaboration, transparency, research development, education and capacity building. (2) Process: enabling follow-up, knowledge translation, patient safety and quality assurance. (3) Outcome: facilitating evaluation, monitoring and improvement of national cancer control efforts. There is currently limited data and capacity to use this data in developing countries for these purposes. Summary There is an urgent need to improve health services for cancer control in developing countries. Current resources and much-needed investments must be optimally managed. To achieve this, we would recommend investment in four key priorities: (1) Capacity building in oncology health services research, policy and planning relevant to developing countries. (2) Development of high-quality health data sources. (3) More oncology-related economic evaluations in developing countries. (4) Exploration of high-quality models of cancer control in developing countries. Meeting these needs will require national, regional and international collaboration as well as political leadership. Horizontal integration with programs for other diseases will be important. PMID:20942937

Prognostic value of tumor size in gastric cancer: an analysis of 2,379 patients.

PubMed

Guo, Pengtao; Li, Yangming; Zhu, Zhi; Sun, Zhe; Lu, Chong; Wang, Zhenning; Xu, Huimian

2013-04-01

Tumor size has been included into the staging systems of many solid tumors, such as lung and breast. However, tumor size is not integrated in the staging of gastric cancer, and its prognostic value for gastric cancer needs to be reappraised. A total of 2,379 patients who received radical resection for histopathologically confirmed gastric adenocarcinoma were enrolled in the present study. Tumor size, originally presented as continuous variable, was categorized into small gastric cancer (SGC) group and large gastric cancer (LGC) group using an optimal cutoff point determined by Cox proportional hazards model. The associations between tumor size and other clinicopathological factors were checked using Chi-square test. Survival of gastric cancer patients was estimated by using univariate Kaplan-Meier method, and the survival difference was checked by using the log-rank test. The significant clinicopathological factors were included into the Cox proportional hazards model to determine the independent prognostic factors, and their hazard ratios were calculated. With the optimal cutoff point of 4 cm, tumor size was categorized into SGC group (≤ 4 cm) and LGC group (>4 cm). Tumor size closely correlated with age, tumor location, macroscopic type, Lauren classification, and lymphatic vessel invasion. Moreover, tumor size was also significantly associated with depth of tumor invasion and status of regional lymph nodes. The 5-year survival rate was 68.7 % for SGC group which was much higher than 40.2 % for LGC group. Univariate analysis showed that SGC had a better survival than LGC, mainly for patients with IIA, IIB, and IIIA stage. Multivariate analysis revealed that tumor size as well as age, tumor location, macroscopic type, Lauren classification, lymphatic vessel invasion, depth of tumor invasion, and status of regional lymph nodes were independent prognostic factors for gastric cancer. Tumor size is a reliable prognostic factor for patients with gastric cancer, and the measurement of tumor size would be helpful to the staging and management of gastric cancer.

Optimum 3D Matrix Stiffness for Maintenance of Cancer Stem Cells Is Dependent on Tissue Origin of Cancer Cells

PubMed Central

Jabbari, Esmaiel; Sarvestani, Samaneh K.; Daneshian, Leily; Moeinzadeh, Seyedsina

2015-01-01

Introduction The growth and expression of cancer stem cells (CSCs) depend on many factors in the tumor microenvironment. The objective of this work was to investigate the effect of cancer cells’ tissue origin on the optimum matrix stiffness for CSC growth and marker expression in a model polyethylene glycol diacrylate (PEGDA) hydrogel without the interference of other factors in the microenvironment. Methods Human MCF7 and MDA-MB-231 breast carcinoma, HCT116 colorectal and AGS gastric carcinoma, and U2OS osteosarcoma cells were used. The cells were encapsulated in PEGDA gels with compressive moduli in the 2-70 kPa range and optimized cell seeding density of 0.6x106 cells/mL. Micropatterning was used to optimize the growth of encapsulated cells with respect to average tumorsphere size. The CSC sub-population of the encapsulated cells was characterized by cell number, tumorsphere size and number density, and mRNA expression of CSC markers. Results The optimum matrix stiffness for growth and marker expression of CSC sub-population of cancer cells was 5 kPa for breast MCF7 and MDA231, 25 kPa for colorectal HCT116 and gastric AGS, and 50 kPa for bone U2OS cells. Conjugation of a CD44 binding peptide to the gel stopped tumorsphere formation by cancer cells from different tissue origin. The expression of YAP/TAZ transcription factors by the encapsulated cancer cells was highest at the optimum stiffness indicating a link between the Hippo transducers and CSC growth. The optimum average tumorsphere size for CSC growth and marker expression was 50 μm. Conclusion The marker expression results suggest that the CSC sub-population of cancer cells resides within a niche with optimum stiffness which depends on the cancer cells’ tissue origin. PMID:26168187

Organizational Factors and the Cancer Screening Process

PubMed Central

Zapka, Jane; Edwards, Heather; Taplin, Stephen H.

2010-01-01

Cancer screening is a process of care consisting of several steps and interfaces. This article reviews what is known about the association between organizational factors and cancer screening rates and examines how organizational strategies can address the steps and interfaces of cancer screening in the context of both intraorganizational and interorganizational processes. We reviewed 79 studies assessing the relationship between organizational factors and cancer screening. Screening rates are largely driven by strategies to 1) limit the number of interfaces across organizational boundaries; 2) recruit patients, promote referrals, and facilitate appointment scheduling; and 3) promote continuous patient care. Optimal screening rates can be achieved when health-care organizations tailor strategies to the steps and interfaces in the cancer screening process that are most critical for their organizations, the providers who work within them, and the patients they serve. PMID:20386053

Organizational factors and the cancer screening process.

PubMed

Anhang Price, Rebecca; Zapka, Jane; Edwards, Heather; Taplin, Stephen H

2010-01-01

Cancer screening is a process of care consisting of several steps and interfaces. This article reviews what is known about the association between organizational factors and cancer screening rates and examines how organizational strategies can address the steps and interfaces of cancer screening in the context of both intraorganizational and interorganizational processes. We reviewed 79 studies assessing the relationship between organizational factors and cancer screening. Screening rates are largely driven by strategies to 1) limit the number of interfaces across organizational boundaries; 2) recruit patients, promote referrals, and facilitate appointment scheduling; and 3) promote continuous patient care. Optimal screening rates can be achieved when health-care organizations tailor strategies to the steps and interfaces in the cancer screening process that are most critical for their organizations, the providers who work within them, and the patients they serve.

Identifying the Presence of Prostate Cancer in Individuals with PSA Levels <20 ng ml-1 Using Computational Data Extraction Analysis of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data.

PubMed

Cosma, Georgina; McArdle, Stéphanie E; Reeder, Stephen; Foulds, Gemma A; Hood, Simon; Khan, Masood; Pockley, A Graham

2017-01-01

Determining whether an asymptomatic individual with Prostate-Specific Antigen (PSA) levels below 20 ng ml -1 has prostate cancer in the absence of definitive, biopsy-based evidence continues to present a significant challenge to clinicians who must decide whether such individuals with low PSA values have prostate cancer. Herein, we present an advanced computational data extraction approach which can identify the presence of prostate cancer in men with PSA levels <20 ng ml -1 on the basis of peripheral blood immune cell profiles that have been generated using multi-parameter flow cytometry. Statistical analysis of immune phenotyping datasets relating to the presence and prevalence of key leukocyte populations in the peripheral blood, as generated from individuals undergoing routine tests for prostate cancer (including tissue biopsy) using multi-parametric flow cytometric analysis, was unable to identify significant relationships between leukocyte population profiles and the presence of benign disease (no prostate cancer) or prostate cancer. By contrast, a Genetic Algorithm computational approach identified a subset of five flow cytometry features ( CD 8 + CD 45 RA - CD 27 - CD 28 - ( CD 8 + Effector Memory cells); CD 4 + CD 45 RA - CD 27 - CD 28 - ( CD 4 + Terminally Differentiated Effector Memory Cells re-expressing CD45RA); CD 3 - CD 19 + (B cells); CD 3 + CD 56 + CD 8 + CD 4 + (NKT cells)) from a set of twenty features, which could potentially discriminate between benign disease and prostate cancer. These features were used to construct a prostate cancer prediction model using the k-Nearest-Neighbor classification algorithm. The proposed model, which takes as input the set of flow cytometry features, outperformed the predictive model which takes PSA values as input. Specifically, the flow cytometry-based model achieved Accuracy = 83.33%, AUC = 83.40%, and optimal ROC points of FPR = 16.13%, TPR = 82.93%, whereas the PSA-based model achieved Accuracy = 77.78%, AUC = 76.95%, and optimal ROC points of FPR = 29.03%, TPR = 82.93%. Combining PSA and flow cytometry predictors achieved Accuracy = 79.17%, AUC = 78.17% and optimal ROC points of FPR = 29.03%, TPR = 85.37%. The results demonstrate the value of computational intelligence-based approaches for interrogating immunophenotyping datasets and that combining peripheral blood phenotypic profiling with PSA levels improves diagnostic accuracy compared to using PSA test alone. These studies also demonstrate that the presence of cancer is reflected in changes in the peripheral blood immune phenotype profile which can be identified using computational analysis and interpretation of complex flow cytometry datasets.

Aptamer-loaded Gold Nanoconstructs for Targeted Cancer Therapy

NASA Astrophysics Data System (ADS)

Dam, Duncan Hieu Minh

Traditional cancer treatments, including chemotherapy, often cause severe side effects in patients. Targeted therapy where tumor cells are targeted via biomarkers overexpressed on the cell surface has been shown to reduce such adverse effects. Monoclonal antibodies (mAbs) are currently the most common chemotherapeutic agents that bind with high affinity to these cancer markers. However, poor intratumoral uptake of mAb and release of drugs from mAb carriers have been the biggest challenge for this delivery method. As a result, recent work has focused on other strategies to improve the efficacy of drug delivery in targeted therapy. Among potential carriers for drug delivery, gold nanoparticles (AuNPs) have emerged as one of the most promising vehicles. This thesis describes the development of a drug delivery nanoconstruct that can both target cancer cells and induce therapeutic effects. The nanoconstructs are composed of gold nanostars (AuNS) as delivery vehicles loaded with the DNA aptamer AS1411 that can target the ubiquitous shuttle protein nucleolin (NCL) in various cancer cell types. The gold nanocarrier stabilizes the oligonucleotides for intracellular delivery and promotes high loading densities of the oligonucleotide drugs. We have investigated the interactions of the nanoconstruct with different subcellular compartments of the cancer cells. This physical phenomenon has shown to correlate with the biological activities such as apoptosis and cell death that happen in the cancer cells after incubation with the nanoconstructs. A thorough screening of the nanoconstructs in 13 different cancer cell lines is conducted to narrow down the potential targets for in vivo study. Before testing the in vivo efficacy, we evaluate the toxicity of the nanoconstructs in non-tumor animals, which confirms its safety for further in vivo applications. The accumulation of the nanoconstructs in two different cancerous tumors, however, suggests that further optimization of the design is required. Thus, we introduced an improved nanoconstruct with higher loading of AS1411 on the surface of AuNS. The significant enhancement in the loading of the Apt increases the cellular uptake as well as the in vitro efficacy of the nanoconstruct in both fibrosarcoma and pancreatic cancer cells. To further optimize the design of the nanoconstruct, we create a conjugation method in which the loading of AS1411 can be effectively controlled at various pH conditions. This method can potentially be applied for any DNA or RNA; however, the stability of oligonucleotides is unknown as a function of pH. Therefore, we also evaluate how pH conditions can affect the loading densities and structural integrity of a range of different oligonucleotides (single stranded DNA, hairpin DNA, duplexes, quadruplexes) on AuNS. The ultimate goal of this process is to identify a set of design principles to optimize oligonucleotide loading based on the local chemical environment around the nanoparticle.

Usefulness of CA125 and their kinetic parameters and positron emission tomography/computed tomography (PET/CT) with fluorodeoxyglucose ([18F] FDG) in the detection of recurrent ovarian cancer levels.

PubMed

Palomar Muñoz, Azahara; Cordero García, José Manuel; Talavera Rubio, Prado; García Vicente, Ana M; González García, Beatriz; Bellón Guardia, María Emiliana; Soriano Castrejón, Ángel; Aranda Aguilar, Enrique

2017-12-21

To assess the usefulness of cancer antigen 125 (CA125) serum levels and kinetic values, velocity (CA125vel) and doubling time (CA125dt), as well as fluorodeoxyglucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT), in the detection of ovarian cancer recurrence. To assess the optimal cut-off for CA125, CA125vel and CA125dt to detect relapse with [ 18 F]FDG-PET/CT. A retrospective analysis was performed of 59 [ 18 F]FDG-PET/CT (48 patients) for suspected recurrence of ovarian cancer. Receiver operating characteristic (ROC) curves were plotted and area-under-the curve (AUC) statistics were computed for CA125, CA125vel and CA125dt. The results obtained in the group with normal and high (>35U/ml) CA125 levels were compared. Forty-four cases of recurrence were diagnosed (7 had CA125 ≤35U/ml), whereas 15 showed no disease. All of them were correctly catalogued by PET/CT. In ROC analysis, the discriminatory power of CA125 was relatively high (AUC 0.835) and the optimal cut-off point to reflect active disease was 23.9U/ml. The ROC analyses for the CA125vel and CA125dt showed an AUC of 0.849 and 0.728, respectively, with an optimal cut-off point of 1.96U/ml/month and 0.76 months, respectively. In patients with normal CA125 and recurrence of ovarian cancer, the CA125vel was significantly higher than in patients without recurrence (p=0.029). [ 18 F]FDG-PET/CT is more accurate than CA125 parameters in the detection of ovarian cancer recurrence. CA125 serum levels are essential; nevertheless, CA125 kinetic values must be considered to detect relapse. Particularly in patients with CA125 within normal values, in which a higher CA125vel is indicative of recurrence. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Launching a Novel Preclinical Infrastructure: Comparative Oncology Trials Consortium Directed Therapeutic Targeting of TNFα to Cancer Vasculature

PubMed Central

Mazcko, Christina; Hanna, Engy; Kachala, Stefan; LeBlanc, Amy; Newman, Shelley; Vail, David; Henry, Carolyn; Thamm, Douglas; Sorenmo, Karin; Hajitou, Amin; Pasqualini, Renata; Arap, Wadih

2009-01-01

Background Under the direction and sponsorship of the National Cancer Institute, we report on the first pre-clinical trial of the Comparative Oncology Trials Consortium (COTC). The COTC is a novel infrastructure to integrate cancers that naturally develop in pet dogs into the development path of new human drugs. Trials are designed to address questions challenging in conventional preclinical models and early phase human trials. Large animal spontaneous cancer models can be a valuable addition to successful studies of cancer biology and novel therapeutic drug, imaging and device development. Methodology/Principal Findings Through this established infrastructure, the first trial of the COTC (COTC001) evaluated a targeted AAV-phage vector delivering tumor necrosis factor (RGD-A-TNF) to αV integrins on tumor endothelium. Trial progress and data was reviewed contemporaneously using a web-enabled electronic reporting system developed for the consortium. Dose-escalation in cohorts of 3 dogs (n = 24) determined an optimal safe dose (5×1012 transducing units intravenous) of RGD-A-TNF. This demonstrated selective targeting of tumor-associated vasculature and sparing of normal tissues assessed via serial biopsy of both tumor and normal tissue. Repetitive dosing in a cohort of 14 dogs, at the defined optimal dose, was well tolerated and led to objective tumor regression in two dogs (14%), stable disease in six (43%), and disease progression in six (43%) via Response Evaluation Criteria in Solid Tumors (RECIST). Conclusions/Significance The first study of the COTC has demonstrated the utility and efficiency of the established infrastructure to inform the development of new cancer drugs within large animal naturally occurring cancer models. The preclinical evaluation of RGD-A-TNF within this network provided valuable and necessary data to complete the design of first-in-man studies. PMID:19330034

Enteral versus parenteral nutrition in cancer patients: evidences and controversies.

PubMed

Cotogni, Paolo

2016-01-01

The debate over the use of enteral nutrition (EN) and parenteral nutrition (PN) is an old but evergreen and hot topic. Since many years, studies comparing EN and PN have been a pivotal 'leitmotif' in the published literature on artificial nutrition (AN). Actually, there is a background misunderstanding in this debate; specifically, that EN and PN are competitors in the choice of the route for delivering nutrition support in cancer patients. Conversely, EN and PN have specific indications and contraindications. This review has the purpose to discuss the indications and complications as well as pros and cons of EN and PN in cancer patients, the crucial role of nutrition support in oncology patients during anticancer treatments and throughout the course of disease, and, finally, the role of AN in advanced cancer patients. In summary, we have no evidence-based data able to definitively indicate the optimal method for delivering AN in cancer patients. EN and PN have to be considered equally effective in maintaining or improving nutritional status in cancer patients. Besides, this review strongly supports the recommendation that a baseline nutritional assessment should be carried out by a healthcare professional expert in AN for all cancer patients at the time of diagnosis or anticancer treatment plan, taking the nutritional status, estimated duration of AN, AN-related potential benefits and possible complications into consideration on an individual basis. Moreover, the patient symptoms, performance status, estimated life expectancy, and mainly, will or preferences have to be evaluated and incorporated into the nutrition support plan before the definitive choice of the route for delivering nutrients is decided. Finally, applying a decision-making process tailored to patient needs-regardless of whether receiving or not anticancer treatment-allows to choose reasonably the optimal nutritional support strategy.

Baseline and annual repeat rounds of screening: implications for optimal regimens of screening.

PubMed

Henschke, Claudia I; Salvatore, Mary; Cham, Matthew; Powell, Charles A; DiFabrizio, Larry; Flores, Raja; Kaufman, Andrew; Eber, Corey; Yip, Rowena; Yankelevitz, David F

2018-03-01

Differences in results of baseline and subsequent annual repeat rounds provide important information for optimising the regimen of screening. A prospective cohort study of 65,374 was reviewed to examine the frequency/percentages of the largest noncalcified nodule (NCN), lung cancer cell types and Kaplan-Meier (K-M) survival rates, separately for baseline and annual rounds. Of 65,374 baseline screenings, NCNs were identified in 28,279 (43.3%); lung cancer in 737 (1.1%). Of 74,482 annual repeat screenings, new NCNs were identified in 4959 (7%); lung cancer in 179 (0.24%). Only adenocarcinoma was diagnosed in subsolid NCNs. Percentages of lung cancers by cell type were significantly different (p < 0.0001) in the baseline round compared with annual rounds, reflecting length bias, as were the ratios, reflecting lead times. Long-term K-M survival rate was 100% for typical carcinoids and for adenocarcinomas manifesting as subsolid NCNs; 85% (95% CI 81-89%) for adenocarcinoma, 74% (95% CI 63-85%) for squamous cell, 48% (95% CI 34-62%) for small cell. The rank ordering by lead time was the same as the rank ordering by survival rates. The significant differences in the frequency of NCNs and frequency and aggressiveness of diagnosed cancers in baseline and annual repeat need to be recognised for an optimal regimen of screening. • Lung cancer aggressiveness varies considerably by cell type and nodule consistency. • Kaplan-Meier survival rates varied by cell type between 100% and 48%. • The percentages of lung cancers by cell type in screening rounds reflect screening biases. • Rank ordering by cell type survival is consistent with that by lead times. • Empirical evidence provides critical information for the regimen of screening.

Comparing the distress thermometer (DT) with the patient health questionnaire (PHQ)-2 for screening for possible cases of depression among patients newly diagnosed with advanced cancer.

PubMed

Lazenby, Mark; Dixon, Jane; Bai, Mei; McCorkle, Ruth

2014-02-01

Distress screening guidelines call for rapid screening for emotional distress at the time of cancer diagnosis. The purpose of this study was to examine the distress thermometer's (DT) ability to screen in patients in treatment for advanced cancer who may be depressed. Using cross-sectional data collected from patients within 30 days of diagnosis with advanced cancer, this study used ROC analysis to determine the optimal-cutoff point of the distress thermometer (DT) for screening for depression as measured by the physician health questionnaire (PHQ)-9; inter-test reliability analysis to compare the DT with the PHQ-2 for screening in possible cases of depression, and multivariate analysis to examine associations among the DT emotional problem list (EPL) items with cases of depression. The average age of the 123 patients in the study was 59.9 (12.9) years. Seventy (56.9%) were female. All had Stage 3 or 4 cancers (40% gastrointestinal, 19% gynecologic, 20% head and neck, 21% lung). The mean DT score was 4 (2.7)/10; and 56 (43%) were depressed as measured by the PHQ-9 ≥ 5. The optimal DT cut-off score to screen in possible cases of depression was ≥ 2/10, with a sensitivity of .96, compared to a sensitivity of .32 of the PHQ-2 ≥ 2. Correlation coefficients for the DT ≥ 2 and the PHQ-2 with the PHQ-9 ≥ 5 were 0.4 and -0.2, respectively. EPL items associated with cases of depression were Depression (OR = 0.15, 0.02-0.85) and Sadness (OR = 0.21, 0.06-0.72). The optimal DT threshold for identifying possible cases of depression at the time of diagnosis is ≥ 2; this threshold is more sensitive than the PHQ-2 ≥ 2. EPL items may be used with the DT score to triage patients for evaluation.

Demand for Colonoscopy in Colorectal Cancer Screening Using a Quantitative Fecal Immunochemical Test and Age/Sex-Specific Thresholds for Test Positivity.

PubMed

Chen, Sam Li-Sheng; Hsu, Chen-Yang; Yen, Amy Ming-Fang; Young, Graeme P; Chiu, Sherry Yueh-Hsia; Fann, Jean Ching-Yuan; Lee, Yi-Chia; Chiu, Han-Mo; Chiou, Shu-Ti; Chen, Hsiu-Hsi

2018-06-01

Background: Despite age and sex differences in fecal hemoglobin (f-Hb) concentrations, most fecal immunochemical test (FIT) screening programs use population-average cut-points for test positivity. The impact of age/sex-specific threshold on FIT accuracy and colonoscopy demand for colorectal cancer screening are unknown. Methods: Using data from 723,113 participants enrolled in a Taiwanese population-based colorectal cancer screening with single FIT between 2004 and 2009, sensitivity and specificity were estimated for various f-Hb thresholds for test positivity. This included estimates based on a "universal" threshold, receiver-operating-characteristic curve-derived threshold, targeted sensitivity, targeted false-positive rate, and a colonoscopy-capacity-adjusted method integrating colonoscopy workload with and without age/sex adjustments. Results: Optimal age/sex-specific thresholds were found to be equal to or lower than the universal 20 μg Hb/g threshold. For older males, a higher threshold (24 μg Hb/g) was identified using a 5% false-positive rate. Importantly, a nonlinear relationship was observed between sensitivity and colonoscopy workload with workload rising disproportionately to sensitivity at 16 μg Hb/g. At this "colonoscopy-capacity-adjusted" threshold, the test positivity (colonoscopy workload) was 4.67% and sensitivity was 79.5%, compared with a lower 4.0% workload and a lower 78.7% sensitivity using 20 μg Hb/g. When constrained on capacity, age/sex-adjusted estimates were generally lower. However, optimizing age/-sex-adjusted thresholds increased colonoscopy demand across models by 17% or greater compared with a universal threshold. Conclusions: Age/sex-specific thresholds improve FIT accuracy with modest increases in colonoscopy demand. Impact: Colonoscopy-capacity-adjusted and age/sex-specific f-Hb thresholds may be useful in optimizing individual screening programs based on detection accuracy, population characteristics, and clinical capacity. Cancer Epidemiol Biomarkers Prev; 27(6); 704-9. ©2018 AACR . ©2018 American Association for Cancer Research.

Effects of Alcohol on Tumor Growth, Metastasis, Immune Response, and Host Survival

PubMed Central

Meadows, Gary G.; Zhang, Hui

2015-01-01

Most research involving alcohol and cancer concerns the relationship between alcohol consumption and cancer risk and the mechanisms of carcinogenesis. This review relates the amount and duration of alcohol intake in humans and in animal models of cancer to tumor growth, angiogenesis, invasion, metastasis, immune response, and host survival in specific types and subtypes of cancer. Research on the influence of alcohol drinking on human cancer patients is limited. Although there is more information in animal models of cancer, many aspects still are ill defined. More research is needed to define the mechanisms that underlie the role of alcohol on cancer progression in both animals and humans. Activation of the immune system can play a positive role in keeping cancer under control, but this also can facilitate cancer progression. Additionally, a functional immune system is required for cancer patients to achieve an optimal response to conventional chemotherapy. Insight into the underlying mechanisms of these interactions could lead to effective immunotherapeutic approaches to treat alcoholics with cancer. Defining the epigenetic mechanisms that modulate cancer progression also has great potential for the development of new treatment options not only for treating alcoholics with cancer but also for treating other alcohol-induced diseases. PMID:26695753

Individualized optimal surgical extent of the lateral neck in papillary thyroid cancer with lateral cervical metastasis.

PubMed

Park, Jae-Yong; Koo, Bon Seok

2014-06-01

Despite an excellent prognosis, cervical lymph node (LN) metastases are common in patients with papillary thyroid cancer (PTC). The presence of metastasis is associated with an increased risk of locoregional recurrence, which significantly impairs quality of life and may decrease survival. Therefore, it has been an important determinant of the extent of lateral LN dissection in the initial treatment of PTC patients with lateral cervical metastasis. However, the optimal extent of therapeutic lateral neck dissection (ND) remains controversial. Optimizing the surgical extent of LN dissection is fundamental for balancing the surgical morbidity and oncological benefits of ND in PTC patients with lateral neck metastasis. We reviewed the currently available literature regarding the optimal extent of lateral LN dissection in PTC patients with lateral neck metastasis. Even in cases with suspicion of metastatic LN at the single lateral level or isolated metastatic lateral LN, the application of ND including all sublevels from IIa and IIb to Va and Vb may be overtreatment, due to the surgical morbidity. When there is no suspicion of LN metastasis at levels II and V, or when multilevel aggressive neck metastasis is not found, sublevel IIb and Va dissection may not be necessary in PTC patients with lateral neck metastasis. Thus consideration of the individualized optimal surgical extent of lateral ND is important when treating PTC patients with lateral cervical metastasis.

Key elements of optimal treatment decision-making for surgeons and older patients with colorectal or pancreatic cancer: A qualitative study.

PubMed

Geessink, Noralie H; Schoon, Yvonne; van Herk, Hanneke C P; van Goor, Harry; Olde Rikkert, Marcel G M

2017-03-01

To identify key elements of optimal treatment decision-making for surgeons and older patients with colorectal (CRC) or pancreatic cancer (PC). Six focus groups with different participants were performed: three with older CRC/PC patients and relatives, and three with physicians. Supplementary in-depth interviews were conducted in another seven patients. Framework analysis was used to identify key elements in decision-making. 23 physicians, 22 patients and 14 relatives participated. Three interacting components were revealed: preconditions, content and facilitators of decision-making. To provide optimal information about treatments' impact on an older patient's daily life, physicians should obtain an overall picture and take into account patients' frailty. Depending on patients' preferences and capacities, dividing decision-making into more sessions will be helpful and simultaneously emphasize patients' own responsibility. GPs may have a valuable contribution because of their background knowledge and supportive role. Stakeholders identified several crucial elements in the complex surgical decision-making of older CRC/PC patients. Structured qualitative research may also be of great help in optimizing other treatment directed decision-making processes. Surgeons should be trained in examining preconditions and useful facilitators in decision-making in older CRC/PC patients to optimize its content and to improve the quality of shared care. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Reinforcement Learning Strategies for Clinical Trials in Non-small Cell Lung Cancer

PubMed Central

Zhao, Yufan; Zeng, Donglin; Socinski, Mark A.; Kosorok, Michael R.

2010-01-01

Summary Typical regimens for advanced metastatic stage IIIB/IV non-small cell lung cancer (NSCLC) consist of multiple lines of treatment. We present an adaptive reinforcement learning approach to discover optimal individualized treatment regimens from a specially designed clinical trial (a “clinical reinforcement trial”) of an experimental treatment for patients with advanced NSCLC who have not been treated previously with systemic therapy. In addition to the complexity of the problem of selecting optimal compounds for first and second-line treatments based on prognostic factors, another primary goal is to determine the optimal time to initiate second-line therapy, either immediately or delayed after induction therapy, yielding the longest overall survival time. A reinforcement learning method called Q-learning is utilized which involves learning an optimal regimen from patient data generated from the clinical reinforcement trial. Approximating the Q-function with time-indexed parameters can be achieved by using a modification of support vector regression which can utilize censored data. Within this framework, a simulation study shows that the procedure can extract optimal regimens for two lines of treatment directly from clinical data without prior knowledge of the treatment effect mechanism. In addition, we demonstrate that the design reliably selects the best initial time for second-line therapy while taking into account the heterogeneity of NSCLC across patients. PMID:21385164

Targeted drug delivery and enhanced intracellular release using functionalized liposomes

NASA Astrophysics Data System (ADS)

Garg, Ashish

The ability to target cancer cells using an appropriate drug delivery system can significantly reduce the associated side effects from cancer therapies and can help in improving the overall quality of life, post cancer survival. Integrin alpha5beta1 is expressed on several types of cancer cells, including colon cancer and plays an important role in tumor growth and metastasis. Thus, the ability to target the integrin alpha 5beta1 using an appropriate drug delivery nano-vector can significantly help in inhibiting tumor growth and reducing tumor metastasis. The work in this thesis focuses on designing and optimizing, functionalized stealth liposomes (liposomes covered with polyethylene glycol (PEG)) that specifically target the integrin alpha5beta1. The PEG provides a steric barrier allowing the liposomes to circulate in the blood for longer duration and the functionalizing moiety, PR_b peptide specifically recognizes and binds to integrin alpha5beta1 expressing cells. The work demonstrates that by optimizing the amount of PEG and PR_b on the liposomal interface, nano-vectors can be engineered that bind to CT26.WT colon cancer cells in a specific manner and internalize through alpha 5beta1-mediated endocytosis. To further improve the efficacy of the system, PR_b functionalized pH-sensitive stealth liposomes that exhibit triggered release under mild acidic conditions present in endocytotic vesicles were designed. The study showed that PR_b functionalized pH-sensitive stealth liposomes, undergo destabilization under mildly acidic conditions and incorporation of the PR_b peptide does not significantly affect the pH-sensitivity of the liposomes. PR_b functionalized pH-sensitive stealth liposomes bind to CT26.WT colon carcinoma cells that express integrin alpha5beta 1, undergo cellular internalization, and release their load intracellularly in a short period of time as compared to other formulations. PR_b-targeted pH-sensitive stealth liposomes encapsulating 5-fluorouracil (5-FU) show significantly higher cytotoxicity than the PR_b-targeted inert stealth liposomes and the non-targeted stealth liposomes (both pH-sensitive and inert). The studies demonstrated that optimized PR_b functionalized pH sensitive liposomes have the potential to deliver a payload, such as chemotherapeutic agents, directly to colon cancer cells in an efficient and specific manner.

Magnetic resonance spectroscopic imaging for improved treatment planning of prostate cancer

NASA Astrophysics Data System (ADS)

Venugopal, Niranjan

Prostate cancer is the most common malignancy afflicting Canadian men in 2011. Physicians use digital rectal exams (DRE), blood tests for prostate specific antigen (PSA) and transrectal ultrasound (TRUS)-guided biopsies for the initial diagnosis of prostate cancer. None of these tests detail the spatial extent of prostate cancer - information critical for using new therapies that can target cancerous prostate. With an MRI technique called proton magnetic resonance spectroscopic imaging (1H-MRSI), biochemical analysis of the entire prostate can be done without the need for biopsy, providing detailed information beyond the non-specific changes in hardness felt by an experienced urologist in a DRE, the presence of PSA in blood, or the "blind-guidance" of TRUS-guided biopsy. A hindrance to acquiring high quality 1H-MRSI data comes from signal originating from fatty tissue surrounding prostate that tends to mask or distort signal from within the prostate, thus reducing the overall clinical usefulness of 1H-MRSI data. This thesis has three major areas of focus: 1) The development of an optimized 1H-MRSI technique, called conformal voxel magnetic resonance spectroscopy (CV-MRS), to deal the with removal of unwanted lipid contaminating artifacts at short and long echo times. 2) An in vivo human study to test the CV-MRS technique, including healthy volunteers and cancer patients scheduled for radical prostatectomy or radiation therapy. 3) A study to determine the efficacy of using the 1H-MRSI data for optimized radiation treatment planning using modern delivery techniques like intensity modulated radiation treatment. Data collected from the study using the optimized CV-MRS method show significantly reduced lipid contamination resulting in high quality spectra throughout the prostate. Combining the CV-MRS technique with spectral-spatial excitation further reduced lipid contamination and opened up the possibility of detecting metabolites with short T2 relaxation times. Results from the in vivo study were verified with post-histopathological data. Lastly, 1H-MRSI data was incorporated into the radiation treatment planning software and used to assess tumour control by escalating the radiation to prostate lesions that were identified by 1H-MRSI. In summary, this thesis demonstrates the clinical feasibility of using advanced spectroscopic imaging techniques for improved diagnosis and treatment of prostate cancer.

The prognostic value of functional and anatomical parameters for the selection of patients receiving yttrium-90 microspheres for the treatment of liver cancer

NASA Astrophysics Data System (ADS)

Mesoloras, Geraldine

Yttrium-90 (90Y) microsphere therapy is being utilized as a treatment option for patients with primary and metastatic liver cancer due to its ability to target tumors within the liver. The success of this treatment is dependent on many factors, including the extent and type of disease and the nature of prior treatments received. Metabolic activity, as determined by PET imaging, may correlate with the number of viable cancer cells and reflect changes in viable cancer cell volume. However, contouring of PET images by hand is labor intensive and introduces an element of irreproducibility into the determination of functional target/tumor volume (FTV). A computer-assisted method to aid in the automatic contouring of FTV has the potential to substantially improve treatment individualization and outcome assessment. Commercial software to determine FTV in FDG-avid primary and metastatic liver tumors has been evaluated and optimized. Volumes determined using the automated technique were compared to those from manually drawn contours identified using the same cutoff in the standard uptake value (SUV). The reproducibility of FTV is improved through the introduction of an optimal threshold value determined from phantom experiments. Application of the optimal threshold value from the phantom experiments to patient scans was in good agreement with hand-drawn determinations of the FTV. It is concluded that computer-assisted contouring of the FTV for primary and metastatic liver tumors improves reproducibility and increases accuracy, especially when combined with the selection of an optimal SUV threshold determined from phantom experiments. A method to link the pre-treatment assessment of functional (PET based) and anatomical (CT based) parameters to post-treatment survival and time to progression was evaluated in 22 patients with colorectal cancer liver metastases treated using 90Y microspheres and chemotherapy. The values for pre-treatment parameters that were the best predictors of response were determined for FTV, anatomical tumor volume, total lesion glycolysis, and the tumor marker, CEA. Of the parameters considered, the best predictors of response were found to be pre-treatment FTV ≤153 cm3, ATV ≤163 cm3, TLG ≤144 g in the chemo-SIRT treated field, and CEA ≤11.6 ng/mL.

Imaging in the evaluation and follow-up of early and advanced breast cancer: When, why, and how often?

PubMed

Bychkovsky, Brittany L; Lin, Nancy U

2017-02-01

Imaging in the evaluation and follow-up of patients with early or advanced breast cancer is an important aspect of cancer care. The role of imaging in breast cancer depends on the goal and should only be performed to guide clinical decisions. Imaging is valuable if a finding will change the course of treatment and improve outcomes, whether this is disease-free survival, overall survival or quality-of-life. In the last decade, imaging is often overused in oncology and contributes to rising healthcare costs. In this context, we review the data that supports the appropriate use of imaging for breast cancer patients. We will discuss: 1) the optimal use of staging imaging in both early (Stage 0-II) and locally advanced (Stage III) breast cancer, 2) the role of surveillance imaging to detect recurrent disease in Stage 0-III breast cancer and 3) how patients with metastatic breast cancer should be followed with advanced imaging. Copyright © 2016 Elsevier Ltd. All rights reserved.

Maximum hypothetical accident analysis for HEU to LEU fuel conversion at the University of Missouri Research Reactor

NASA Astrophysics Data System (ADS)

Cowherd, Wilson

Breast cancer is one of the most common cancers in women with a very high incident rate, especially for those women who are between 40-60 years old. Most drugs are large or non-polar macromolecules, which cannot get into cancer cells autonomously, so a method that can deliver those drugs is very important. Optoporation method has been facilitated with gold nanoparticles, which are bound to breast cancer cells, and then absorb the optical energy to improve the membrane permeabilization. Long-term dietary consumption of fruits and vegetables high in beta-carotene and other phytochemicals has been shown beneficial in terms of anti-cancer, anti-aging, preventing cardiovascular disease and cataract. However they are large non-polar molecules that are difficult to enter the cancer cells. Here in this study, we applied optoporation method by using beta-carotene, and tetracycline as anti-cancer drugs in various concentrations to optimize highest selective cell death/best potential for T47D breast cancer cell lines.

Preparation of quantum fingerprint(TM)-ready metal-gallium arsenide interfaces for molecular characterization

NASA Astrophysics Data System (ADS)

De Castro, Julian Paulo B.

Breast cancer is one of the most common cancers in women with a very high incident rate, especially for those women who are between 40-60 years old. Most drugs are large or non-polar macromolecules, which cannot get into cancer cells autonomously, so a method that can deliver those drugs is very important. Optoporation method has been facilitated with gold nanoparticles, which are bound to breast cancer cells, and then absorb the optical energy to improve the membrane permeabilization. Long-term dietary consumption of fruits and vegetables high in beta-carotene and other phytochemicals has been shown beneficial in terms of anti-cancer, anti-aging, preventing cardiovascular disease and cataract. However they are large non-polar molecules that are difficult to enter the cancer cells. Here in this study, we applied optoporation method by using beta-carotene, and tetracycline as anti-cancer drugs in various concentrations to optimize highest selective cell death/best potential for T47D breast cancer cell lines.

A New View of Radiation-Induced Cancer: Integrating Short- and Long-Term Processes. Part II: Second Cancer Risk Estimation

NASA Technical Reports Server (NTRS)

Shuryak, Igor; Brenner, David J.; Hahnfeldt, Philip; Hlatky, Lynn; Sachs, Rainer K.

2009-01-01

As the number of cancer survivors grows, prediction of radiotherapy-induced second cancer risks becomes increasingly important. Because the latency period for solid tumors is long, the risks of recently introduced radiotherapy protocols are not yet directly measurable. In the accompanying article, we presented a new biologically based mathematical model, which, in principle, can estimate second cancer risks for any protocol. The novelty of the model is that it integrates, into a single formalism, mechanistic analyses of pre-malignant cell dynamics on two different time scales: short-term during radiotherapy and recovery; long-term during the entire life span. Here, we apply the model to nine solid cancer types (stomach, lung, colon, rectal, pancreatic, bladder, breast, central nervous system, and thyroid) using data on radiotherapy-induced second malignancies, on Japanese atomic bomb survivors, and on background US cancer incidence. Potentially, the model can be incorporated into radiotherapy treatment planning algorithms, adding second cancer risk as an optimization criterion.

Sleep and circadian disruption and incident breast cancer risk: An evidence-based and theoretical review.

PubMed

Samuelsson, Laura B; Bovbjerg, Dana H; Roecklein, Kathryn A; Hall, Martica H

2018-01-01

Opportunities for restorative sleep and optimal sleep-wake schedules are becoming luxuries in industrialized cultures, yet accumulating research has revealed multiple adverse health effects of disruptions in sleep and circadian rhythms, including increased risk of breast cancer. The literature on breast cancer risk has focused largely on adverse effects of night shift work and exposure to light at night (LAN), without considering potential effects of associated sleep disruptions. As it stands, studies on breast cancer risk have not considered the impact of both sleep and circadian disruption, and the possible interaction of the two through bidirectional pathways, on breast cancer risk in the population at large. We review and synthesize this literature, including: 1) studies of circadian disruption and incident breast cancer; 2) evidence for bidirectional interactions between sleep and circadian systems; 3) studies of sleep and incident breast cancer; and 4) potential mechanistic pathways by which interrelated sleep and circadian disruption may contribute to the etiology of breast cancer. Copyright © 2017. Published by Elsevier Ltd.

New arylated benzo[h]quinolines induce anti-cancer activity by oxidative stress-mediated DNA damage.

PubMed

Yadav, Dharmendra K; Rai, Reeta; Kumar, Naresh; Singh, Surjeet; Misra, Sanjeev; Sharma, Praveen; Shaw, Priyanka; Pérez-Sánchez, Horacio; Mancera, Ricardo L; Choi, Eun Ha; Kim, Mi-Hyun; Pratap, Ramendra

2016-12-06

The anti-cancer activity of the benzo[h]quinolines was evaluated on cultured human skin cancer (G361), lung cancer (H460), breast cancer (MCF7) and colon cancer (HCT116) cell lines. The inhibitory effect of these compounds on the cell growth was determined by the MTT assay. The compounds 3e, 3f, 3h and 3j showed potential cytotoxicity against these human cancer cell lines. Effect of active compounds on DNA oxidation and expression of apoptosis related gene was studied. We also developed a quantitative method to measure the activity of cyclin-dependent kinases-2 (CDK2) by western blotting in the presence of active compound. In addition, molecular docking revealed that benzo[h]quinolines can correctly dock into the hydrophobic pocket of the targets receptor protein aromatase and CDK2, while their bioavailability/drug-likeness was predicted to be acceptable but requires future optimization. These findings reveal that benzo[h]quinolines act as anti-cancer agents by inducing oxidative stress-mediated DNA damage.

Cancer and autoimmunity: Harnessing longitudinal cohorts to probe the link.

PubMed

Egiziano, Giordano; Bernatsky, Sasha; Shah, Ami A

2016-02-01

In many autoimmune rheumatic diseases, there is an increased risk of cancer compared to the general population. While reasons for this increased risk have not been elucidated, it has been hypothesized that the link between cancer and autoimmunity may be bidirectional. For instance, chronic inflammation and damage from the rheumatic disease or its therapies may trigger malignant transformation; conversely, antitumor immune responses targeting cancers may become cross-reactive resulting in autoimmunity. In rare rheumatic diseases, longitudinal observational studies can play a critical role in studying these complex relationships, thereby enabling investigators to quantify the extent of cancer risk, identify unique clinical phenotypes associated with cancer, investigate the biological link between these conditions, and define optimal strategies for screening and treatment of the underlying cancer. In this review, we discuss recent data on cancer in the rheumatic diseases and suggest a research agenda to address several gaps in our current knowledge base. Copyright © 2016 Elsevier Ltd. All rights reserved.

A new view of radiation-induced cancer: integrating short- and long-term processes. Part II: second cancer risk estimation.

PubMed

Shuryak, Igor; Hahnfeldt, Philip; Hlatky, Lynn; Sachs, Rainer K; Brenner, David J

2009-08-01

As the number of cancer survivors grows, prediction of radiotherapy-induced second cancer risks becomes increasingly important. Because the latency period for solid tumors is long, the risks of recently introduced radiotherapy protocols are not yet directly measurable. In the accompanying article, we presented a new biologically based mathematical model, which, in principle, can estimate second cancer risks for any protocol. The novelty of the model is that it integrates, into a single formalism, mechanistic analyses of pre-malignant cell dynamics on two different time scales: short-term during radiotherapy and recovery; long-term during the entire life span. Here, we apply the model to nine solid cancer types (stomach, lung, colon, rectal, pancreatic, bladder, breast, central nervous system, and thyroid) using data on radiotherapy-induced second malignancies, on Japanese atomic bomb survivors, and on background US cancer incidence. Potentially, the model can be incorporated into radiotherapy treatment planning algorithms, adding second cancer risk as an optimization criterion.

Setting the stage for universal financial distress screening in routine cancer care.

PubMed

Khera, Nandita; Holland, Jimmie C; Griffin, Joan M

2017-11-01

Financial burden from cancer treatment is increasingly being recognized as a threat to optimal access, quality, and outcomes of cancer care for patients. Although research in the area is moving at a fast pace, multiple questions remain unanswered, such as how to practically integrate the assessment and management of financial burden into routine health care delivery for patients with cancer. Although psychological distress screening for patients undergoing cancer treatment now is commonplace, the authors raise the provocative idea of universal screening for financial distress to identify and assist vulnerable groups of patients. Herein, the authors outline the arguments to support screening for financial burden in addition to psychological distress, examining it as an independent patient-reported outcome for all patients with cancer at various time points during their treatment. The authors describe the proximal and downstream impact of such a strategy and reflect on some challenges and potential solutions to help integrate this concept into routine cancer care delivery. Cancer 2017;123:4092-4096. © 2017 American Cancer Society. © 2017 American Cancer Society.

Extracellular cholesterol oxidase production by Streptomyces aegyptia, in vitro anticancer activities against rhabdomyosarcoma, breast cancer cell-lines and in vivo apoptosis.

PubMed

El-Naggar, Noura El-Ahmady; Soliman, Hoda M; El-Shweihy, Nancy M

2018-02-09

In recent years, microbial cholesterol oxidases have gained great attention due to its widespread use in medical applications for serum cholesterol determination. Streptomyces aegyptia strain NEAE-102 exhibited high level of extracellular cholesterol oxidase production using a minimum medium containing cholesterol as the sole source of carbon. Fifteen variables were screened using Plackett-Burman design for the enhanced cholesterol oxidase production. The most significant variables affecting enzyme production were further optimized by using the face-centered central composite design. The statistical optimization resulted in an overall 4.97-fold increase (15.631 UmL -1 ) in cholesterol oxidase production in the optimized medium as compared with the unoptimized medium before applying Plackett Burman design (3.1 UmL -1 ). The purified cholesterol oxidase was evaluated for its in vitro anticancer activities against five human cancer cell lines. The selectivity index values on rhabdomyosarcoma and breast cancer cell lines were 3.26 and 2.56; respectively. The in vivo anticancer activity of cholesterol oxidase was evaluated against Ehrlich solid tumor model. Compared with control mice, tumors growth was significantly inhibited in the mice injected with cholesterol oxidase alone, doxorubicin alone and cholesterol oxidase/doxorubicin combination by 60.97%, 72.99% and 97.04%; respectively. These results demonstrated that cholesterol oxidase can be used as a promising natural anticancer drug.

Optimization of dendrimer structure for sentinel lymph node imaging: Effects of generation and terminal group.

PubMed

Niki, Yuichiro; Ogawa, Mikako; Makiura, Rie; Magata, Yasuhiro; Kojima, Chie

2015-11-01

The detection of the sentinel lymph node (SLN), the first lymph node draining tumor cells, is important in cancer diagnosis and therapy. Dendrimers are synthetic macromolecules with highly controllable structures, and are potent multifunctional imaging agents. In this study, 12 types of dendrimer of different generations (G2, G4, G6, and G8) and different terminal groups (amino, carboxyl, and acetyl) were prepared to determine the optimal dendrimer structure for SLN imaging. Radiolabeled dendrimers were intradermally administrated to the right footpads of rats. All G2 dendrimers were predominantly accumulated in the kidney. Amino-terminal, acetyl-terminal, and carboxyl-terminal dendrimers of greater than G4 were mostly located at the injection site, in the blood, and in the SLN, respectively. The carboxyl-terminal dendrimers were largely unrecognized by macrophages and T-cells in the SLN. Finally, SLN detection was successfully performed by single photon emission computed tomography imaging using carboxyl-terminal dendrimers of greater than G4. The early detection of tumor cells in the sentinel draining lymph nodes (SLN) is of utmost importance in terms of determining cancer prognosis and devising treatment. In this article, the authors investigated various formulations of dendrimers to determine the optimal one for tumor detection. The data generated from this study would help clinicians to fight the cancer battle in the near future. Copyright © 2015 Elsevier Inc. All rights reserved.

Preparation of poly-L-lysine functionalized magnetic nanoparticles and their influence on viability of cancer cells

NASA Astrophysics Data System (ADS)

Khmara, I.; Koneracka, M.; Kubovcikova, M.; Zavisova, V.; Antal, I.; Csach, K.; Kopcansky, P.; Vidlickova, I.; Csaderova, L.; Pastorekova, S.; Zatovicova, M.

2017-04-01

This study was aimed at development of biocompatible amino-functionalized magnetic nanoparticles as carriers of specific antibodies able to detect and/or target cancer cells. Poly-L-lysine (PLL)-modified magnetic nanoparticle samples with different PLL/Fe3O4 content were prepared and tested to define the optimal PLL/Fe3O4 weight ratio. The samples were characterized for particle size and morphology (SEM, TEM and DLS), and surface properties (zeta potential measurements). The optimal PLL/Fe3O4 weight ratio of 1.0 based on both zeta potential and DLS measurements was in agreement with the UV/VIS measurements. Magnetic nanoparticles with the optimal PLL content were conjugated with antibody specific for the cancer biomarker carbonic anhydrase IX (CA IX), which is induced by hypoxia, a physiologic stress present in solid tumors and linked with aggressive tumor behavior. CA IX is localized on the cell surface with the antibody-binding epitope facing the extracellular space and is therefore suitable for antibody-based targeting of tumor cells. Here we showed that PLL/Fe3O4 magnetic nanoparticles exhibit cytotoxic activities in a cell type-dependent manner and bind to cells expressing CA IX when conjugated with the CA IX-specific antibody. These data support further investigations of the CA IX antibody-conjugated, magnetic field-guided/activated nanoparticles as tools in anticancer strategies.

A Comparison of the Hot Spot and the Average Cancer Cell Counting Methods and the Optimal Cutoff Point of the Ki-67 Index for Luminal Type Breast Cancer.

PubMed

Arima, Nobuyuki; Nishimura, Reiki; Osako, Tomofumi; Nishiyama, Yasuyuki; Fujisue, Mamiko; Okumura, Yasuhiro; Nakano, Masahiro; Tashima, Rumiko; Toyozumi, Yasuo

2016-01-01

In this case-control study, we investigated the most suitable cell counting area and the optimal cutoff point of the Ki-67 index. Thirty recurrent cases were selected among hormone receptor (HR)-positive/HER2-negative breast cancer patients. As controls, 90 nonrecurrent cases were randomly selected by allotting 3 controls to each recurrent case based on the following criteria: age, nodal status, tumor size, and adjuvant endocrine therapy alone. Both the hot spot and the average area of the tumor were evaluated on a Ki-67 immunostaining slide. The median Ki-67 index value at the hot spot and average area were 25.0 and 14.5%, respectively. Irrespective of the area counted, the Ki-67 index value was significantly higher in all of the recurrent cases (p < 0.0001). The multivariate analysis revealed that the Ki-67 index value of 20% at the hot spot was the most suitable cutoff point for predicting recurrence. Moreover, higher x0394;Ki-67 index value (the difference between the hot spot and the average area, ≥10%) and lower progesterone receptor expression (<20%) were significantly correlated with recurrence. A higher Ki-67 index value at the hot spot strongly correlated with recurrence, and the optimal cutoff point was found to be 20%. © 2015 S. Karger AG, Basel.

Formulation optimization, characterization, and evaluation of in vitro cytotoxic potential of curcumin loaded solid lipid nanoparticles for improved anticancer activity.

PubMed

Rompicharla, Sri Vishnu Kiran; Bhatt, Himanshu; Shah, Aashma; Komanduri, Neeraja; Vijayasarathy, Dhanya; Ghosh, Balaram; Biswas, Swati

2017-11-01

The aim of the present research was to develop a novel, biocompatible, amenable to industrial scale up and affordable solid lipid nanoparticles (SLN) preparation of curcumin and evaluate the therapeutic efficacy in vitro using cancer cells. We have incorporated cholesterol as the lipid to prepare SLN along with the Poloxamer-188 as stabilizer. High shear homogenization was used to prepare the SLN and formulation was optimized using Quality by Design The optimized Chol CUR SLN exhibited a narrow size distribution with a particle size of 166.4±3.5nm. Percentage encapsulation (%EE) was found to be 76.9±1.9%. The SLN were further characterized by DSC, FTIR, XRD and drug release. In vitro cell studies in MDA-MB-231 (Human Breast cancer) cell line revealed that the Chol CUR SLN showed superior cytotoxicity and uptake in comparison to the free curcumin. Furthermore, Chol CUR SLN induced a significantly higher apoptosis compared to free CUR treatment. These results indicated that the curcumin encapsulated in Chol SLN was able to significantly improve the cytotoxic potential and induction of apoptosis in MDA-MB-231 cells. The promising result from our study could lead a further exploration of this nanoparticle formulation to be utilized clinically for cancer treatment. Copyright © 2017 Elsevier B.V. All rights reserved.

SU-F-BRD-01: A Logistic Regression Model to Predict Objective Function Weights in Prostate Cancer IMRT

DOE Office of Scientific and Technical Information (OSTI.GOV)

Boutilier, J; Chan, T; Lee, T

2014-06-15

Purpose: To develop a statistical model that predicts optimization objective function weights from patient geometry for intensity-modulation radiotherapy (IMRT) of prostate cancer. Methods: A previously developed inverse optimization method (IOM) is applied retrospectively to determine optimal weights for 51 treated patients. We use an overlap volume ratio (OVR) of bladder and rectum for different PTV expansions in order to quantify patient geometry in explanatory variables. Using the optimal weights as ground truth, we develop and train a logistic regression (LR) model to predict the rectum weight and thus the bladder weight. Post hoc, we fix the weights of the leftmore » femoral head, right femoral head, and an artificial structure that encourages conformity to the population average while normalizing the bladder and rectum weights accordingly. The population average of objective function weights is used for comparison. Results: The OVR at 0.7cm was found to be the most predictive of the rectum weights. The LR model performance is statistically significant when compared to the population average over a range of clinical metrics including bladder/rectum V53Gy, bladder/rectum V70Gy, and mean voxel dose to the bladder, rectum, CTV, and PTV. On average, the LR model predicted bladder and rectum weights that are both 63% closer to the optimal weights compared to the population average. The treatment plans resulting from the LR weights have, on average, a rectum V70Gy that is 35% closer to the clinical plan and a bladder V70Gy that is 43% closer. Similar results are seen for bladder V54Gy and rectum V54Gy. Conclusion: Statistical modelling from patient anatomy can be used to determine objective function weights in IMRT for prostate cancer. Our method allows the treatment planners to begin the personalization process from an informed starting point, which may lead to more consistent clinical plans and reduce overall planning time.« less

NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.

PubMed

Zou, Meng; Liu, Zhaoqi; Zhang, Xiang-Sun; Wang, Yong

2015-10-15

In prognosis and survival studies, an important goal is to identify multi-biomarker panels with predictive power using molecular characteristics or clinical observations. Such analysis is often challenged by censored, small-sample-size, but high-dimensional genomic profiles or clinical data. Therefore, sophisticated models and algorithms are in pressing need. In this study, we propose a novel Area Under Curve (AUC) optimization method for multi-biomarker panel identification named Nearest Centroid Classifier for AUC optimization (NCC-AUC). Our method is motived by the connection between AUC score for classification accuracy evaluation and Harrell's concordance index in survival analysis. This connection allows us to convert the survival time regression problem to a binary classification problem. Then an optimization model is formulated to directly maximize AUC and meanwhile minimize the number of selected features to construct a predictor in the nearest centroid classifier framework. NCC-AUC shows its great performance by validating both in genomic data of breast cancer and clinical data of stage IB Non-Small-Cell Lung Cancer (NSCLC). For the genomic data, NCC-AUC outperforms Support Vector Machine (SVM) and Support Vector Machine-based Recursive Feature Elimination (SVM-RFE) in classification accuracy. It tends to select a multi-biomarker panel with low average redundancy and enriched biological meanings. Also NCC-AUC is more significant in separation of low and high risk cohorts than widely used Cox model (Cox proportional-hazards regression model) and L1-Cox model (L1 penalized in Cox model). These performance gains of NCC-AUC are quite robust across 5 subtypes of breast cancer. Further in an independent clinical data, NCC-AUC outperforms SVM and SVM-RFE in predictive accuracy and is consistently better than Cox model and L1-Cox model in grouping patients into high and low risk categories. In summary, NCC-AUC provides a rigorous optimization framework to systematically reveal multi-biomarker panel from genomic and clinical data. It can serve as a useful tool to identify prognostic biomarkers for survival analysis. NCC-AUC is available at http://doc.aporc.org/wiki/NCC-AUC. ywang@amss.ac.cn Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Screening for colorectal cancer in defunctioned colons.

PubMed

Akbar, Fayyaz; Quyn, Aaron; Steele, Robert

2018-01-01

Objectives Population-based colorectal (bowel) cancer screening using faecal occult blood tests leads to a reduction in cause-specific mortality. However, in people where the colon is defunctioned, the use of standard faecal occult blood test is not appropriate. The aim of this study was to examine the current trends of clinical practice for colorectal cancer screening in people with defunctioned colons. Methods An online survey was performed using SurveyMonkey. All members of the Association of Coloproctology of Great Britain and Ireland were invited by email to participate. Reminders were sent to non-responders and partial responders till six weeks. All responses were included in our analysis. Results Of the 206 (34.59%) questionnaires completed, all questions were answered in 110 (55.8%). Among responders, 94 (85.4%) were colorectal consultant surgeons, 72% had worked in their current capacity for more than five years, and 105 (50.9%) had encountered colorectal cancer in defunctioned colons during their career. Some 72.2% of responders stated that a screening test for colorectal cancer in patients with defunctioned colons was currently not offered, or that they did not know whether or not it was offered in their area. Conclusions Bowel screening in the United Kingdom is currently not offered to 72.2% of the age appropriate population with defunctioned colons. Among responding colorectal surgeons, 50% had encountered colorectal cancer in such patients. There is considerable variability in clinical practice regarding the optimal age for onset of screening, time interval, and the optimal modality to offer for screening in such cases.

Personalizing colon cancer adjuvant therapy: selecting optimal treatments for individual patients.

PubMed

Dienstmann, Rodrigo; Salazar, Ramon; Tabernero, Josep

2015-06-01

For more than three decades, postoperative chemotherapy-initially fluoropyrimidines and more recently combinations with oxaliplatin-has reduced the risk of tumor recurrence and improved survival for patients with resected colon cancer. Although universally recommended for patients with stage III disease, there is no consensus about the survival benefit of postoperative chemotherapy in stage II colon cancer. The most recent adjuvant clinical trials have not shown any value for adding targeted agents, namely bevacizumab and cetuximab, to standard chemotherapies in stage III disease, despite improved outcomes in the metastatic setting. However, biomarker analyses of multiple studies strongly support the feasibility of refining risk stratification in colon cancer by factoring in molecular characteristics with pathologic tumor staging. In stage II disease, for example, microsatellite instability supports observation after surgery. Furthermore, the value of BRAF or KRAS mutations as additional risk factors in stage III disease is greater when microsatellite status and tumor location are taken into account. Validated predictive markers of adjuvant chemotherapy benefit for stage II or III colon cancer are lacking, but intensive research is ongoing. Recent advances in understanding the biologic hallmarks and drivers of early-stage disease as well as the micrometastatic environment are expected to translate into therapeutic strategies tailored to select patients. This review focuses on the pathologic, molecular, and gene expression characterizations of early-stage colon cancer; new insights into prognostication; and emerging predictive biomarkers that could ultimately help define the optimal adjuvant treatments for patients in routine clinical practice. © 2015 by American Society of Clinical Oncology.

Information Engineering and Workflow Design in a Clinical Decision Support System for Colorectal Cancer Screening in Iran.

PubMed

Maserat, Elham; Seied Farajollah, Seiede Sedigheh; Safdari, Reza; Ghazisaeedi, Marjan; Aghdaei, Hamid Asadzadeh; Zali, Mohammad Reza

2015-01-01

Colorectal cancer is a major cause of morbidity and mortality throughout the world. Colorectal cancer screening is an optimal way for reducing of morbidity and mortality and a clinical decision support system (CDSS) plays an important role in predicting success of screening processes. DSS is a computer-based information system that improves the delivery of preventive care services. The aim of this article was to detail engineering of information requirements and work flow design of CDSS for a colorectal cancer screening program. In the first stage a screening minimum data set was determined. Developed and developing countries were analyzed for identifying this data set. Then information deficiencies and gaps were determined by check list. The second stage was a qualitative survey with a semi-structured interview as the study tool. A total of 15 users and stakeholders' perspectives about workflow of CDSS were studied. Finally workflow of DSS of control program was designed by standard clinical practice guidelines and perspectives. Screening minimum data set of national colorectal cancer screening program was defined in five sections, including colonoscopy data set, surgery, pathology, genetics and pedigree data set. Deficiencies and information gaps were analyzed. Then we designed a work process standard of screening. Finally workflow of DSS and entry stage were determined. A CDSS facilitates complex decision making for screening and has key roles in designing optimal interactions between colonoscopy, pathology and laboratory departments. Also workflow analysis is useful to identify data reconciliation strategies to address documentation gaps. Following recommendations of CDSS should improve quality of colorectal cancer screening.

Global curriculum in research literacy for the surgical oncologist.

PubMed

Are, C; Yanala, U; Malhotra, G; Hall, B; Smith, L; Cummings, C; Lecoq, C; Wyld, L; Audisio, R A; Berman, R S

2018-01-01

The ability to provide optimal care to cancer patients depends on awareness of current evidence-based practices emanating from research or involvement in research where circumstances permit. The significant global variations in cancer-related research activity and its correlation to cancer-specific outcomes may have an influence on the care provided to cancer patients and their outcomes. The aim of this project is to develop a global curriculum in research literacy for the surgical oncologist. The leadership of the Society of Surgical Oncology and European Society of Surgical Oncology convened a global curriculum committee to develop a global curriculum in research literacy for the Surgical Oncologist. A global curriculum in research literacy is developed to incorporate the required domains considered to be essential to interpret the published research or become involved in research activity where circumstances permit. The purpose of this curriculum is to promote research literacy for the surgical oncologist, wherever they are based. It does not mandate direct research participation which may not be feasible due to restrictions within the local health-care delivery environment, socio-economic priorities and the educational environment of the individual institution where they work. A global curriculum in research literacy is proposed which may promote research literacy or encourage involvement in research activity where circumstances permit. It is hoped that this will enhance cancer-related research activity, promote awareness of optimal evidence-based practices and improve outcomes for cancer patients globally. Copyright © 2017 Society of Surgical Oncology, European Society of Surgical Oncology. Published by Elsevier Ltd.. All rights reserved.

The burden of prostate cancer in Trinidad and Tobago: one of the highest mortality rates in the world.

PubMed

Warner, Wayne A; Lee, Tammy Y; Fang, Fang; Llanos, Adana A M; Bajracharya, Smriti; Sundaram, Vasavi; Badal, Kimberly; Sookdeo, Vandana Devika; Roach, Veronica; Lamont-Greene, Marjorie; Ragin, Camille; Slovacek, Simeon; Ramsoobhag, Krishan; Brown, Jasmine; Rebbeck, Timothy R; Maharaj, Ravi; Drake, Bettina F

2018-07-01

In Trinidad and Tobago (TT), prostate cancer (CaP) is the most commonly diagnosed malignancy and the leading cause of cancer deaths among men. TT currently has one of the highest CaP mortality rates in the world. 6,064 incident and 3,704 mortality cases of CaP occurring in TT from January 1995 to 31 December 2009 reported to the Dr. Elizabeth Quamina Cancer population-based cancer registry for TT, were analyzed to examine CaP survival, incidence, and mortality rates and trends by ancestry and geography. The age-standardized CaP incidence and mortality rates (per 100,000) based on the 1960 world-standardized in 2009 were 64.2 and 47.1 per 100,000. The mortality rate in TT increased between 1995 (37.9 per 100,000) and 2009 (79.4 per 100,000), while the rate in the US decreased from 37.3 per 100,000 to 22.1 per 100,000 over the same period. Fewer African ancestry patients received treatment relative to those of Indian and mixed ancestry (45.7%, 60.3%, and 60.9%, respectively). Notwithstanding the limitations surrounding data quality, our findings highlight the increasing burden of CaP in TT and the need for improved surveillance and standard of care. Our findings highlight the need for optimized models to project cancer rates in developing countries like TT. This study also provides the rationale for targeted screening and optimized treatment for CaP to ameliorate the rates we report.