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  1. Breast Cancer Risk Prediction Models

    Cancer.gov

    Developing statistical models that estimate the probability of developing breast cancer over a defined period of time will help clinicians identify individuals at higher risk of specific cancers, allowing for earlier or more frequent screening and counseling of behavioral changes to decrease risk.

  2. Breast Cancer

    MedlinePlus

    ... version of this page please turn Javascript on. Breast Cancer What is Breast Cancer? How Tumors Form The body is made up ... tumors form in the breast tissue. Who Gets Breast Cancer? Breast cancer is one of the most common ...

  3. Breast Cancer Risk Assessment SAS Macro (Gail Model)

    Cancer.gov

    A SAS macro (commonly referred to as the Gail Model) that projects absolute risk of invasive breast cancer according to NCI’s Breast Cancer Risk Assessment Tool (BCRAT) algorithm for specified race/ethnic groups and age intervals.

  4. Breast cancer

    MedlinePlus

    ... of a direct link between breast cancer and pesticides. Symptoms Early breast cancer often does not cause ... breast cancer should not drink alcohol at all) Alternative Names Cancer - breast; Carcinoma - ductal; Carcinoma - lobular; DCIS; ...

  5. Multiscale Models of Breast Cancer Progression

    PubMed Central

    Chakrabarti, Anirikh; Verbridge, Scott; Stroock, Abraham D.; Fischbach, Claudia; Varner, Jeffrey D.

    2013-01-01

    Breast cancer initiation, invasion and metastasis span multiple length and time scales. Molecular events at short length scales lead to an initial tumorigenic population, which left unchecked by immune action, acts at increasingly longer length scales until eventually the cancer cells escape from the primary tumor site. This series of events is highly complex, involving multiple cell types interacting with (and shaping) the microenvironment. Multiscale mathematical models have emerged as a powerful tool to quantitatively integrate the convective-diffusion-reaction processes occurring on the systemic scale, with the molecular signaling processes occurring on the cellular and subcellular scales. In this study, we reviewed the current state of the art in cancer modeling across multiple length scales, with an emphasis on the integration of intracellular signal transduction models with pro-tumorigenic chemical and mechanical microenvironmental cues. First, we reviewed the underlying biomolecular origin of breast cancer, with a special emphasis on angiogenesis. Then, we summarized the development of tissue engineering platforms which could provide highfidelity ex vivo experimental models to identify and validate multiscale simulations. Lastly, we reviewed top-down and bottom-up multiscale strategies that integrate subcellular networks with the microenvironment. We present models of a variety of cancers, in addition to breast cancer specific models. Taken together, we expect as the sophistication of the simulations increase, that multiscale modeling and bottom-up agent-based models in particular will become an increasingly important platform technology for basic scientific discovery, as well as the identification and validation of potentially novel therapeutic targets. PMID:23008097

  6. Bioengineering Models for Breast Cancer Research

    PubMed Central

    Guiro, Khadidiatou; Arinzeh, Treena L.

    2015-01-01

    Despite substantial advances in early diagnosis, breast cancer (BC) still remains a clinical challenge. Most BC models use complex in vivo models and two-dimensional monolayer cultures that do not fully mimic the tumor microenvironment. The integration of cancer biology and engineering can lead to the development of novel in vitro approaches to study BC behavior and quantitatively assess different features of the tumor microenvironment that may influence cell behavior. In this review, we present tissue engineering approaches to model BC in vitro. Recent advances in the use of three-dimensional cell culture models to study various aspects of BC disease in vitro are described. The emerging area of studying BC dormancy using these models is also reviewed. PMID:26792996

  7. What Is Breast Cancer?

    MedlinePlus

    ... Research? Breast Cancer About Breast Cancer What Is Breast Cancer? Breast cancer starts when cells in the breast ... spread, see our section on Cancer Basics . Where breast cancer starts Breast cancers can start from different parts ...

  8. In vitro comparative models for canine and human breast cancers

    PubMed Central

    VISAN, SIMONA; BALACESCU, OVIDIU; BERINDAN-NEAGOE, IOANA; CATOI, CORNEL

    2016-01-01

    During the past four decades, an increased number of similarities between canine mammary tumors and human breast cancer have been reported: molecular, histological, morphological, clinical and epidemiological, which lead to comparative oncological studies. One of the most important goals in human and veterinary oncology is to discover potential molecular biomarkers that could detect breast cancer in an early stage and to develop new effective therapies. Recently, cancer cell lines have successfully been used as an in vitro model to study the biology of cancer, to investigate molecular pathways and to test the efficiency of anticancer drugs. Moreover, establishment of an experimental animal model for the study of human breast cancer will improve testing potential anti-cancer therapies and the discovery of effective therapeutic schemes suitable for human clinical trials. In this review, we collected data from previous studies that strengthen the value of canine mammary cancer cell lines as an in vitro model for the study of human breast cancer. PMID:27004024

  9. Relationship of Predicted Risk of Developing Invasive Breast Cancer, as Assessed with Three Models, and Breast Cancer Mortality among Breast Cancer Patients

    PubMed Central

    Pfeiffer, Ruth M.; Miglioretti, Diana L.; Kerlikowske, Karla; Tice, Jeffery; Vacek, Pamela M.; Gierach, Gretchen L.

    2016-01-01

    Purpose Breast cancer risk prediction models are used to plan clinical trials and counsel women; however, relationships of predicted risks of breast cancer incidence and prognosis after breast cancer diagnosis are unknown. Methods Using largely pre-diagnostic information from the Breast Cancer Surveillance Consortium (BCSC) for 37,939 invasive breast cancers (1996–2007), we estimated 5-year breast cancer risk (<1%; 1–1.66%; ≥1.67%) with three models: BCSC 1-year risk model (BCSC-1; adapted to 5-year predictions); Breast Cancer Risk Assessment Tool (BCRAT); and BCSC 5-year risk model (BCSC-5). Breast cancer-specific mortality post-diagnosis (range: 1–13 years; median: 5.4–5.6 years) was related to predicted risk of developing breast cancer using unadjusted Cox proportional hazards models, and in age-stratified (35–44; 45–54; 55–69; 70–89 years) models adjusted for continuous age, BCSC registry, calendar period, income, mode of presentation, stage and treatment. Mean age at diagnosis was 60 years. Results Of 6,021 deaths, 2,993 (49.7%) were ascribed to breast cancer. In unadjusted case-only analyses, predicted breast cancer risk ≥1.67% versus <1.0% was associated with lower risk of breast cancer death; BCSC-1: hazard ratio (HR) = 0.82 (95% CI = 0.75–0.90); BCRAT: HR = 0.72 (95% CI = 0.65–0.81) and BCSC-5: HR = 0.84 (95% CI = 0.75–0.94). Age-stratified, adjusted models showed similar, although mostly non-significant HRs. Among women ages 55–69 years, HRs approximated 1.0. Generally, higher predicted risk was inversely related to percentages of cancers with unfavorable prognostic characteristics, especially among women 35–44 years. Conclusions Among cases assessed with three models, higher predicted risk of developing breast cancer was not associated with greater risk of breast cancer death; thus, these models would have limited utility in planning studies to evaluate breast cancer mortality reduction strategies. Further, when offering

  10. Transgenic Rat Models for Breast Cancer Research

    DTIC Science & Technology

    1999-10-01

    Introduction 6 6. Body 9 7. Key Research Accomplishments 15 8. Reportable Outcomes 15 9. Conclusions 16 10. References 17 11. Bibliography 20 12. Personnel 20...seen in human breast cancer (2-4). Third, a high percentage of the resulting rat mammary cancers are hormonally responsiveness, closely mimicking that...13, 17), activated c-neu (18-20), wild type c-neu (21), deregulated growth hormone (22), and deregulated transforming growth factor a (23-25) has

  11. Breast Cancer Overview

    MedlinePlus

    ... Cancer > Breast Cancer > Breast Cancer: Overview Request Permissions Breast Cancer: Overview Approved by the Cancer.Net Editorial Board , ... bean-shaped organs that help fight infection. About breast cancer Cancer begins when healthy cells in the breast ...

  12. Building a Better Model: A Comprehensive Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Apply Resources

    DTIC Science & Technology

    2014-10-01

    assessment model that includes automated measurement of breast density. Scope: Assemble a cohort of women with known breast cancer risk factors and...digital mammogram files for women diagnosed with breast cancer using existing data sources and match them to controls (Harvey/Knaus). Validate and...density will translate to changes in breast cancer risk. Therefore, noise in measurement should be minimal. Thirty women were recruited under this

  13. Breast Cancer

    MedlinePlus

    Breast cancer affects one in eight women during their lives. No one knows why some women get breast cancer, but there are many risk factors. Risks that ... who have family members with breast or ovarian cancer may wish to be tested for the genes. ...

  14. Surgery for Breast Cancer

    MedlinePlus

    ... Pregnancy Breast Cancer Breast Cancer Treatment Surgery for Breast Cancer Surgery is a common treatment for breast cancer, ... Relieve symptoms of advanced cancer Surgery to remove breast cancer There are two main types of surgery to ...

  15. Environmental factors in breast cancer invasion: a mathematical modelling review.

    PubMed

    Simmons, Alex; Burrage, Pamela M; Nicolau, Dan V; Lakhani, Sunil R; Burrage, Kevin

    2017-02-01

    This review presents a brief overview of breast cancer, focussing on its heterogeneity and the role of mathematical modelling and simulation in teasing apart the underlying biophysical processes. Following a brief overview of the main known pathophysiological features of ductal carcinoma, attention is paid to differential equation-based models (both deterministic and stochastic), agent-based modelling, multi-scale modelling, lattice-based models and image-driven modelling. A number of vignettes are presented where these modelling approaches have elucidated novel aspects of breast cancer dynamics, and we conclude by offering some perspectives on the role mathematical modelling can play in understanding breast cancer development, invasion and treatment therapies.

  16. Animal models for exploring the pharmacokinetics of breast cancer therapies

    PubMed Central

    Rashid, Omar M.; Takabe, Kazuaki

    2015-01-01

    Introduction Despite massive expenditures in research and development to cure breast cancer, few agents that pass preclinical trials demonstrate efficacy in humans. Although this endeavor relies on murine models to screen for efficacy before progressing to clinical trials, historically there has been little focus on the validation of these models, even in the era of targeted therapy where understanding the genetic signatures of tumors under study is critical. Areas covered This review includes the transgenic, xenograft, and syngeneic murine breast cancer models, the ectopic, orthotopic and intravenous methods of cell implantation, and the ethics of animal experimentation. It also includes the latest data on tumor gene expression and the issues to consider when exploring the pharmacokinetics and efficacy of breast cancer therapies. Expert opinion Breast cancer drug development is expensive and inefficient without a consensus preclinical murine model. Investigators must approach the choice of murine model with the same sophistication that is applied to the choice of in vitro assays to improve efficiency. Understanding the limitations of each model available, including the nuances of tumor gene signatures, is critical for investigators exploring the phamacokinetics and efficacy of breast cancer therapies, especially in the context of gene profiling and individualized targeted therapy. PMID:25416501

  17. Breast cancer screening

    MedlinePlus

    Mammogram - breast cancer screening; Breast exam - breast cancer screening; MRI - breast cancer screening ... performed to screen women to detect early breast cancer when it is more likely to be cured. ...

  18. Endoscopic Breast Surgery in Treating Patients With Breast Cancer

    ClinicalTrials.gov

    2014-02-05

    Male Breast Cancer; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer

  19. The transtheoretical model, health belief model, and breast cancer screening among Iranian women with a family history of breast cancer

    PubMed Central

    Farajzadegan, Ziba; Fathollahi-Dehkordi, Fariba; Hematti, Simin; Sirous, Reza; Tavakoli, Neda; Rouzbahani, Reza

    2016-01-01

    Background: Participation of Iranian women with a family history of breast cancer in breast cancer screening programs is low. This study evaluates the compliance of women having a family history of breast cancer with clinical breast exam (CBE) according to the stage of transtheoretical model (TTM) and health belief model (HBM). Materials and Methods: In this cross-sectional study, we used Persian version of champion's HBM scale to collect factors associated with TTM stages applied to screening from women over 20 years and older. The obtained data were analyzed by SPSS, using descriptive statistics, Chi-square test, independent t-test, and analysis of covariance. Results: Final sample size was 162 women. Thirty-three percent were in action/maintenance stage. Older women, family history of breast cancer in first-degree relatives, personal history of breast disease, insurance coverage, and a history of breast self-examination were associated with action/maintenance stage. Furthermore, women in action/maintenance stages had significantly fewer perceived barriers in terms of CBE in comparison to women in other stages (P < 0.05). There was no significant difference in other HBM subscales scores between various stages of CBE screening behavior (P > 0.05). Conclusion: The finding indicates that the rate of women in action/maintenance stage of CBE is low. Moreover, results show a strong association between perceived barriers and having a regular CBE. These clarify the necessity of promoting national target programs for breast cancer screening, which should be considered as the first preference for reducing CBE barriers.

  20. Increasing Breast Cancer Surveillance Among African American Breast Cancer Survivors

    DTIC Science & Technology

    2006-07-01

    the Witness model will be tailored for breast cancer survivors and the peer interventionists (breast cancer survivors and lay health advisors) will be...by a lay health advisor; 4) discussion of concerns and myths about breast cancer and screening /surveillance that are prevalent among AAW; 5) review...Breast cancer screening surveillance Breast cancer screening Treatment/Time of Treatment intention /adherence & physician recommendation

  1. Learning about Breast Cancer

    MedlinePlus

    ... genetic terms used on this page Learning About Breast Cancer What do we know about heredity and breast ... Cancer What do we know about heredity and breast cancer? Breast cancer is a common disease. Each year, ...

  2. 6 Common Cancers - Breast Cancer

    MedlinePlus

    ... Bar Home Current Issue Past Issues 6 Common Cancers - Breast Cancer Past Issues / Spring 2007 Table of Contents For ... her down. Photo: AP Photo/Brett Flashnick Breast Cancer Breast cancer is a malignant (cancerous) growth that ...

  3. Simulation models in population breast cancer screening: A systematic review.

    PubMed

    Koleva-Kolarova, Rositsa G; Zhan, Zhuozhao; Greuter, Marcel J W; Feenstra, Talitha L; De Bock, Geertruida H

    2015-08-01

    The aim of this review was to critically evaluate published simulation models for breast cancer screening of the general population and provide a direction for future modeling. A systematic literature search was performed to identify simulation models with more than one application. A framework for qualitative assessment which incorporated model type; input parameters; modeling approach, transparency of input data sources/assumptions, sensitivity analyses and risk of bias; validation, and outcomes was developed. Predicted mortality reduction (MR) and cost-effectiveness (CE) were compared to estimates from meta-analyses of randomized control trials (RCTs) and acceptability thresholds. Seven original simulation models were distinguished, all sharing common input parameters. The modeling approach was based on tumor progression (except one model) with internal and cross validation of the resulting models, but without any external validation. Differences in lead times for invasive or non-invasive tumors, and the option for cancers not to progress were not explicitly modeled. The models tended to overestimate the MR (11-24%) due to screening as compared to optimal RCTs 10% (95% CI - 2-21%) MR. Only recently, potential harms due to regular breast cancer screening were reported. Most scenarios resulted in acceptable cost-effectiveness estimates given current thresholds. The selected models have been repeatedly applied in various settings to inform decision making and the critical analysis revealed high risk of bias in their outcomes. Given the importance of the models, there is a need for externally validated models which use systematical evidence for input data to allow for more critical evaluation of breast cancer screening.

  4. Human mammary microenvironment better regulates the biology of human breast cancer in humanized mouse model.

    PubMed

    Zheng, Ming-Jie; Wang, Jue; Xu, Lu; Zha, Xiao-Ming; Zhao, Yi; Ling, Li-Jun; Wang, Shui

    2015-02-01

    During the past decades, many efforts have been made in mimicking the clinical progress of human cancer in mouse models. Previously, we developed a human breast tissue-derived (HB) mouse model. Theoretically, it may mimic the interactions between "species-specific" mammary microenvironment of human origin and human breast cancer cells. However, detailed evidences are absent. The present study (in vivo, cellular, and molecular experiments) was designed to explore the regulatory role of human mammary microenvironment in the progress of human breast cancer cells. Subcutaneous (SUB), mammary fat pad (MFP), and HB mouse models were developed for in vivo comparisons. Then, the orthotopic tumor masses from three different mouse models were collected for primary culture. Finally, the biology of primary cultured human breast cancer cells was compared by cellular and molecular experiments. Results of in vivo mouse models indicated that human breast cancer cells grew better in human mammary microenvironment. Cellular and molecular experiments confirmed that primary cultured human breast cancer cells from HB mouse model showed a better proliferative and anti-apoptotic biology than those from SUB to MFP mouse models. Meanwhile, primary cultured human breast cancer cells from HB mouse model also obtained the migratory and invasive biology for "species-specific" tissue metastasis to human tissues. Comprehensive analyses suggest that "species-specific" mammary microenvironment of human origin better regulates the biology of human breast cancer cells in our humanized mouse model of breast cancer, which is more consistent with the clinical progress of human breast cancer.

  5. Mouse Model of Human Breast Cancer Initiated by a Fusion Oncogene

    DTIC Science & Technology

    2006-09-01

    AD_________________ Award Number: W81XWH-05-1-0502 TITLE: Mouse Model of Human Breast Cancer ...TYPE Final 3. DATES COVERED (From - To) 15 AUG 2005 - 14 AUG 2006 4. TITLE AND SUBTITLE Mouse Model of Human Breast Cancer Initiated by a Fusion...SUPPLEMENTARY NOTES 14. ABSTRACT: In this study, we generated a novel mouse model of human breast cancer based on a recurrent chromosomal

  6. Genistein induces breast cancer-associated aromatase and stimulates estrogen-dependent tumor cell growth in in vitro breast cancer model.

    PubMed

    van Duursen, M B M; Nijmeijer, S M; de Morree, E S; de Jong, P Chr; van den Berg, M

    2011-11-18

    In breast cancer, the interaction between estrogen-producing breast adipose fibroblasts (BAFs) and estrogen-dependent epithelial tumor cells is pivotal. Local estrogen production is catalyzed by aromatase, which is differentially regulated in disease-free and tumorigenic breast tissue. The use of aromatase inhibitors to block local estrogen production has proven effective in treatment of estrogen-dependent breast cancer. However, a major problem during breast cancer treatment is the sudden onset of menopause and many women seek for alternative medicines, such as the soy isoflavone genistein. In this study, we show that genistein can induce estrogen-dependent MCF-7 tumor cell growth and increase breast cancer-associated aromatase expression and activity in vitro. We have previously developed an in vitro breast cancer model where the positive feedback loop between primary BAFs and estrogen-dependent MCF-7 tumor cells is operational, thereby representing a more natural in vitro model for breast cancer. In this model, genistein could negate the growth inhibitory action of the aromatase inhibitor fadrozole at physiologically relevant concentrations. These data suggest that soy-based supplements might affect the efficacy of breast cancer treatment with aromatase inhibitors. Considering the high number of breast cancer patients using soy supplements to treat menopausal symptoms, the increasing risk for adverse interactions with breast cancer treatment is of major concern and should be considered with care.

  7. Understanding a Breast Cancer Diagnosis

    MedlinePlus

    ... Category Cancer A-Z Breast Cancer Understanding a Breast Cancer Diagnosis If you’ve been diagnosed with breast ... cancer or how fast it’s growing. Types of Breast Cancer There are several types of breast cancer. The ...

  8. Breast Cancer -- Male

    MedlinePlus

    ... Home > Types of Cancer > Breast Cancer in Men Breast Cancer in Men This is Cancer.Net’s Guide to Breast Cancer in Men. Use the menu below to choose ... social workers, and patient advocates. Cancer.Net Guide Breast Cancer in Men Introduction Statistics Risk Factors and Prevention ...

  9. Building a Better Model: A Comprehensive Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Apply Resources

    DTIC Science & Technology

    2012-10-01

    methods (CumulusV, Volpara), developed an automated area based 15. SUBJECT TERMS Breast cancer; risk model; mammography ; breast density 16...recommendations based on an individual’s risk beginning with personalized mammography screening decisions. This will be done by increasing the ability... mammography machine vendor. Once the model is complete, tested nationally, and proven accurate, it will be available for widespread use within five to six

  10. Male Breast Cancer

    MedlinePlus

    Although breast cancer is much more common in women, men can get it too. It happens most often to men between ... 60 and 70. Breast lumps usually aren't cancer. However, most men with breast cancer have lumps. ...

  11. Breast Cancer (For Kids)

    MedlinePlus

    ... de los dientes Video: Getting an X-ray Breast Cancer KidsHealth > For Kids > Breast Cancer Print A A ... for it when they are older. What Is Breast Cancer? The human body is made of tiny building ...

  12. Breast Cancer Trends

    MedlinePlus

    ... Breast Cancer Funding: Young Breast Cancer Survivors Funding: Breast Cancer Genomics Statistics Rates by Race and Ethnicity Rates by State Risk by Age Trends What CDC Is Doing Research African American Women and Mass Media Campaign Public Service Announcements Print ...

  13. Innovative biomagnetic imaging sensors for breast cancer: A model-based study

    SciTech Connect

    Deng, Y.; Golkowski, M.

    2012-04-01

    Breast cancer is a serious potential health problem for all women and is the second leading cause of cancer deaths in the United States. The current screening procedures and imaging techniques, including x-ray mammography, clinical biopsy, ultrasound imaging, and magnetic resonance imaging, provide only 73% accuracy in detecting breast cancer. This gives the impetus to explore alternate techniques for imaging the breast and detecting early stage tumors. Among the complementary methods, the noninvasive biomagnetic breast imaging is attractive and promising, because both ionizing radiation and breast compressions that the prevalent x-ray mammography suffers from are avoided. It furthermore offers very high contrast because of the significant electromagnetic properties' differences between the cancerous, benign, and normal breast tissues. In this paper, a hybrid and accurate modeling tool for biomagnetic breast imaging is developed, which couples the electromagnetic and ultrasonic energies, and initial validations between the model predication and experimental findings are conducted.

  14. Cyclooxygenase-2 inhibitor induces apoptosis in breast cancer cells in an in vivo model of spontaneous metastatic breast cancer.

    PubMed

    Basu, Gargi D; Pathangey, Latha B; Tinder, Teresa L; Lagioia, Michelle; Gendler, Sandra J; Mukherjee, Pinku

    2004-11-01

    Cyclooxygenase-2 (COX-2) inhibitors are rapidly emerging as a new generation of therapeutic drug in combination with chemotherapy or radiation therapy for the treatment of cancer. The mechanisms underlying its antitumor effects are not fully understood and more thorough preclinical trials are needed to determine if COX-2 inhibition represents a useful approach for prevention and/or treatment of breast cancer. The purpose of this study was to evaluate the growth inhibitory mechanism of a highly selective COX-2 inhibitor, celecoxib, in an in vivo oncogenic mouse model of spontaneous breast cancer that resembles human disease. The oncogenic mice carry the polyoma middle T antigen driven by the mouse mammary tumor virus promoter and develop primary adenocarcinomas of the breast. Results show that oral administration of celecoxib caused significant reduction in mammary tumor burden associated with increased tumor cell apoptosis and decreased proliferation in vivo. In vivo apoptosis correlated with significant decrease in activation of protein kinase B/Akt, a cell survival signaling kinase, with increased expression of the proapoptotic protein Bax and decreased expression of the antiapoptotic protein Bcl-2. In addition, celecoxib treatment reduced levels of proangiogenic factor (vascular endothelial growth factor), suggesting a role of celecoxib in suppression of angiogenesis in this model. Results from these preclinical studies will form the basis for assessing the feasibility of celecoxib therapy alone or in combination with conventional therapies for treatment and/or prevention of breast cancer.

  15. Aging, Breast Cancer and the Mouse Model

    DTIC Science & Technology

    2005-05-01

    Presenescent or senescent hBF (1.2 or 18x×10 4/well, respectively) [M, Stampfer , P. Yaswen, Lawrence Berkeley National Laboratory wdre suspended in 60 l cold...2.8 1 2.8 Inducing a human-like senescent phenotype in mouse fibroblasts Jean-Philihoo Copp , Simona Parrinello, Ana Krtolica, Christopher K. Patil...MAMMARY EPITHELIAL CELL PROLIFERATION AND TUMORIGENESIS: A MOUSE MODEL FOR HUMAN AGING. Jean-Philippe Coppe, Simona Parrinello, Ana Krtolica, Christopher

  16. Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer

    PubMed Central

    Margolin, Adam A.; Bilal, Erhan; Huang, Erich; Norman, Thea C.; Ottestad, Lars; Mecham, Brigham H.; Sauerwine, Ben; Kellen, Michael R.; Mangravite, Lara M.; Furia, Matthew D.; Vollan, Hans Kristian Moen; Rueda, Oscar M.; Guinney, Justin; Deflaux, Nicole A.; Hoff, Bruce; Schildwachter, Xavier; Russnes, Hege G.; Park, Daehoon; Vang, Veronica O.; Pirtle, Tyler; Youseff, Lamia; Citro, Craig; Curtis, Christina; Kristensen, Vessela N.; Hellerstein, Joseph; Friend, Stephen H.; Stolovitzky, Gustavo; Aparicio, Samuel; Caldas, Carlos; Børresen-Dale, Anne-Lise

    2013-01-01

    Although molecular prognostics in breast cancer are among the most successful examples of translating genomic analysis to clinical applications, optimal approaches to breast cancer clinical risk prediction remain controversial. The Sage Bionetworks–DREAM Breast Cancer Prognosis Challenge (BCC) is a crowdsourced research study for breast cancer prognostic modeling using genome-scale data. The BCC provided a community of data analysts with a common platform for data access and blinded evaluation of model accuracy in predicting breast cancer survival on the basis of gene expression data, copy number data, and clinical covariates. This approach offered the opportunity to assess whether a crowdsourced community Challenge would generate models of breast cancer prognosis commensurate with or exceeding current best-in-class approaches. The BCC comprised multiple rounds of blinded evaluations on held-out portions of data on 1981 patients, resulting in more than 1400 models submitted as open source code. Participants then retrained their models on the full data set of 1981 samples and submitted up to five models for validation in a newly generated data set of 184 breast cancer patients. Analysis of the BCC results suggests that the best-performing modeling strategy outperformed previously reported methods in blinded evaluations; model performance was consistent across several independent evaluations; and aggregating community-developed models achieved performance on par with the best-performing individual models. PMID:23596205

  17. Male Breast Cancer

    MedlinePlus

    ... hasn't spread beyond your breast tissue. Radiation therapy Radiation therapy uses high-energy beams to kill ... option for men with advanced breast cancer. Hormone therapy Most men with male breast cancer have tumors ...

  18. Decreased NK-cell tumour immunosurveillance consequent to JAK inhibition enhances metastasis in breast cancer models

    PubMed Central

    Bottos, Alessia; Gotthardt, Dagmar; Gill, Jason W.; Gattelli, Albana; Frei, Anna; Tzankov, Alexandar; Sexl, Veronika; Wodnar-Filipowicz, Aleksandra; Hynes, Nancy E.

    2016-01-01

    The JAK/STAT pathway is an attractive target for breast cancer therapy due to its frequent activation, and clinical trials evaluating JAK inhibitors (JAKi) in advanced breast cancer are ongoing. Using patient biopsies and preclinical models of breast cancer, we demonstrate that the JAK/STAT pathway is active in metastasis. Unexpectedly, blocking the pathway with JAKi enhances the metastatic burden in experimental and orthotopic models of breast cancer metastasis. We demonstrate that this prometastatic effect is due to the immunosuppressive activity of JAKi with ensuing impairment of NK-cell-mediated anti-tumour immunity. Furthermore, we show that immunostimulation with IL-15 overcomes the enhancing effect of JAKi on metastasis formation. Our findings highlight the importance of evaluating the effect of targeted therapy on the tumour environment. The impact of JAKi on NK cells and the potential value of immunostimulators to overcome the weakened tumour immunosurveillance, are worthwhile considering in the clinical setting of breast cancer. PMID:27406745

  19. Breast cancer in men

    MedlinePlus

    ... in situ - male; Intraductal carcinoma - male; Inflammatory breast cancer - male; Paget disease of the nipple - male; Breast cancer - male ... The cause of breast cancer in men is not clear. But there are risk factors that make breast cancer more likely in men: Exposure to ...

  20. Putative cancer-initiating stem cells in cell culture models for molecular subtypes of clinical breast cancer

    PubMed Central

    TELANG, NITIN

    2015-01-01

    Cancer-initiating stem cells (CISC) represent a minor subpopulation of heterogeneous breast cancer. CISC are responsible for the acquired resistance to conventional chemoendocrine therapy and eventual relapse observed in patients with breast cancer. Certain molecular subtypes of clinical breast cancer that exhibit differential expression of genes coding for hormone and growth factor receptors differ in their response to conventional chemoendocrine therapy and targeted therapeutic inhibitors. Thus, the development of reliable cell culture models for CISC may provide a valuable experimental approach for the study of stem cell-targeted therapy for the treatment of breast cancer. The present study utilized optimized cell culture systems as experimental models for different molecular subtypes of clinical breast cancer, including luminal A, human epidermal growth factor receptor (HER)-2-enriched and triple negative breast cancer. Biomarker end points, including control of homeostatic growth, cancer risk and drug resistance, were quantitatively analyzed in the selected models. The results of the analyses indicated that, compared with the non-tumorigenic controls, the cell models representing the aforementioned molecular subtypes of clinical breast cancer exhibited aberrant cell cycle progression, downregulated cellular apoptosis and loss of control of homeostatic growth, as evidenced by hyperproliferation. Additionally, these models displayed persistent cancer risk, as indicated by their high incidence and frequency of anchorage-independent (AI) colony formation in vitro and their tumor development capacity in vivo. Furthermore, in the presence of maximum cytostatic drug concentrations, the drug-resistant phenotypes isolated from the parental drug-sensitive cell lines representing luminal A, HER-2-enriched and triple negative breast cancer exhibited an 11.5, 5.0 and 6.2 fold increase in cell growth, and a 5.6, 5.4 and 4.4 fold increase in the number of AI colonies

  1. Breast cancer in systemic lupus.

    PubMed

    Bernatsky, S; Ramsey-Goldman, R; Petri, M; Urowitz, M B; Gladman, D D; Fortin, P F; Ginzler, E; Romero-Diaz, J; Peschken, C; Jacobsen, S; Hanly, J G; Gordon, C; Nived, O; Yelin, E H; Isenberg, D; Rahman, A; Bae, S-C; Joseph, L; Witte, T; Ruiz-Irastorza, G; Aranow, C; Kamen, D; Sturfeldt, G; Foulkes, W D; Hansen, J E; St Pierre, Y; Raymer, P Chrétien; Tessier-Cloutier, B; Clarke, A E

    2017-03-01

    Objective There is a decreased breast cancer risk in systemic lupus erythematosus (SLE) versus the general population. We assessed a large sample of SLE patients, evaluating demographic and clinical characteristics and breast cancer risk. Methods We performed case-cohort analyses within a multi-center international SLE sample. We calculated the breast cancer hazard ratio (HR) in female SLE patients, relative to demographics, reproductive history, family history of breast cancer, and time-dependent measures of anti-dsDNA positivity, cumulative disease activity, and drugs, adjusted for SLE duration. Results There were 86 SLE breast cancers and 4498 female SLE cancer-free controls. Patients were followed on average for 7.6 years. Versus controls, SLE breast cancer cases tended to be white and older. Breast cancer cases were similar to controls regarding anti-dsDNA positivity, disease activity, and most drug exposures over time. In univariate and multivariate models, the principal factor associated with breast cancers was older age at cohort entry. Conclusions There was little evidence that breast cancer risk in this SLE sample was strongly driven by any of the clinical factors that we studied. Further search for factors that determine the lower risk of breast cancer in SLE may be warranted.

  2. Increasing Breast Cancer Surveillance among African American Breast Cancer Survivors

    DTIC Science & Technology

    2007-07-01

    predictors of surveillance and follow-up care is Baldwin’s Afrocentric model for describing AA women’s participation in breast and cervical cancer screening...African American women’s participation in breast and cervical cancer early detection and screening. Adv Nurs Sci. 1996;19(2):27Y42. 28. Marin G. Subjective...AD_________________ Award Number: DAMD17-03-1-0454 TITLE: Increasing Breast Cancer Surveillance

  3. Stages of Male Breast Cancer

    MedlinePlus

    ... Breast & Gynecologic Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast Cancer Go to Health Professional Version Key Points Male ...

  4. A Model for Breast Cancer-Induced Angiogenesis

    DTIC Science & Technology

    1996-09-01

    Terman BI, Carrion ME, Kovacs E, Rasmussen BA, Eddy RL, Shows TB. Identification of a new endothelial cell growth factor receptor tyrosine kinase...Jensen, H. M., Chen, I., DeVault, M. R., and Lewis , A. E. Angio- Cancer Res. Treat., 11: 241-248, 1988. genesis induced by "normal" human breast

  5. Minority women and breast cancer screening: the role of cultural explanatory models.

    PubMed

    Rajaram, S S; Rashidi, A

    1998-01-01

    Mammography and clinical breast exams are effective secondary prevention techniques for reducing the morbidity and mortality due to breast cancer. Although minority women have higher mortality rates due to breast cancer, they are less likely than white women to use screening procedures. This paper provides a complementary understanding of the use of breast cancer screening among minority women by drawing attention to the role of women's cultural explanatory models (CEMs). CEMs stem from the sociocultural context and involve cultural beliefs and values, personal life experiences, and both biomedical and popular explanations of health and illness. Although women's CEMs may not accord with those of health professionals, they do have an impact on screening behavior. This paper discusses suggestions for addressing these issues in an effort to improve breast cancer screening rates through adopting a cultural relativistic approach.

  6. Activity of the kinesin spindle protein inhibitor ispinesib (SB-715992) in models of breast cancer

    SciTech Connect

    Purcell, James W; Davis, Jefferson; Reddy, Mamatha; Martin, Shamra; Samayoa, Kimberly; Vo, Hung; Thomsen, Karen; Bean, Peter; Kuo, Wen Lin; Ziyad, Safiyyah; Billig, Jessica; Feiler, Heidi S; Gray, Joe W; Wood, Kenneth W; Cases, Sylvaine

    2009-06-10

    Ispinesib (SB-715992) is a potent inhibitor of kinesin spindle protein (KSP), a kinesin motor protein essential for the formation of a bipolar mitotic spindle and cell cycle progression through mitosis. Clinical studies of ispinesib have demonstrated a 9% response rate in patients with locally advanced or metastatic breast cancer, and a favorable safety profile without significant neurotoxicities, gastrointestinal toxicities or hair loss. To better understand the potential of ispinesib in the treatment of breast cancer we explored the activity of ispinesib alone and in combination several therapies approved for the treatment of breast cancer. We measured the ispinesib sensitivity and pharmacodynamic response of breast cancer cell lines representative of various subtypes in vitro and as xenografts in vivo, and tested the ability of ispinesib to enhance the anti-tumor activity of approved therapies. In vitro, ispinesib displayed broad anti-proliferative activity against a panel of 53 breast cell-lines. In vivo, ispinesib produced regressions in each of five breast cancer models, and tumor free survivors in three of these models. The effects of ispinesib treatment on pharmacodynamic markers of mitosis and apoptosis were examined in vitro and in vivo, revealing a greater increase in both mitotic and apoptotic markers in the MDA-MB-468 model than in the less sensitive BT-474 model. In vivo, ispinesib enhanced the anti-tumor activity of trastuzumab, lapatinib, doxorubicin, and capecitabine, and exhibited activity comparable to paclitaxel and ixabepilone. These findings support further clinical exploration of KSP inhibitors for the treatment of breast cancer.

  7. A New Mouse Model for the Study of Human Breast Cancer Metastasis

    PubMed Central

    Iorns, Elizabeth; Drews-Elger, Katherine; Ward, Toby M.; Dean, Sonja; Clarke, Jennifer; Berry, Deborah; Ashry, Dorraya El; Lippman, Marc

    2012-01-01

    Breast cancer is the most common cancer in women, and this prevalence has a major impact on health worldwide. Localized breast cancer has an excellent prognosis, with a 5-year relative survival rate of 85%. However, the survival rate drops to only 23% for women with distant metastases. To date, the study of breast cancer metastasis has been hampered by a lack of reliable metastatic models. Here we describe a novel in vivo model using human breast cancer xenografts in NOD scid gamma (NSG) mice; in this model human breast cancer cells reliably metastasize to distant organs from primary tumors grown within the mammary fat pad. This model enables the study of the entire metastatic process from the proper anatomical site, providing an important new approach to examine the mechanisms underlying breast cancer metastasis. We used this model to identify gene expression changes that occur at metastatic sites relative to the primary mammary fat pad tumor. By comparing multiple metastatic sites and independent cell lines, we have identified several gene expression changes that may be important for tumor growth at distant sites. PMID:23118918

  8. The Walker 256 Breast Cancer Cell- Induced Bone Pain Model in Rats.

    PubMed

    Shenoy, Priyank A; Kuo, Andy; Vetter, Irina; Smith, Maree T

    2016-01-01

    The majority of patients with terminal breast cancer show signs of bone metastasis, the most common cause of pain in cancer. Clinically available drug treatment options for the relief of cancer-associated bone pain are limited due to either inadequate pain relief and/or dose-limiting side-effects. One of the major hurdles in understanding the mechanism by which breast cancer causes pain after metastasis to the bones is the lack of suitable preclinical models. Until the late twentieth century, all animal models of cancer induced bone pain involved systemic injection of cancer cells into animals, which caused severe deterioration of animal health due to widespread metastasis. In this mini-review we have discussed details of a recently developed and highly efficient preclinical model of breast cancer induced bone pain: Walker 256 cancer cell- induced bone pain in rats. The model involves direct localized injection of cancer cells into a single tibia in rats, which avoids widespread metastasis of cancer cells and hence animals maintain good health throughout the experimental period. This model closely mimics the human pathophysiology of breast cancer induced bone pain and has great potential to aid in the process of drug discovery for treating this intractable pain condition.

  9. The Walker 256 Breast Cancer Cell- Induced Bone Pain Model in Rats

    PubMed Central

    Shenoy, Priyank A.; Kuo, Andy; Vetter, Irina; Smith, Maree T.

    2016-01-01

    The majority of patients with terminal breast cancer show signs of bone metastasis, the most common cause of pain in cancer. Clinically available drug treatment options for the relief of cancer-associated bone pain are limited due to either inadequate pain relief and/or dose-limiting side-effects. One of the major hurdles in understanding the mechanism by which breast cancer causes pain after metastasis to the bones is the lack of suitable preclinical models. Until the late twentieth century, all animal models of cancer induced bone pain involved systemic injection of cancer cells into animals, which caused severe deterioration of animal health due to widespread metastasis. In this mini-review we have discussed details of a recently developed and highly efficient preclinical model of breast cancer induced bone pain: Walker 256 cancer cell- induced bone pain in rats. The model involves direct localized injection of cancer cells into a single tibia in rats, which avoids widespread metastasis of cancer cells and hence animals maintain good health throughout the experimental period. This model closely mimics the human pathophysiology of breast cancer induced bone pain and has great potential to aid in the process of drug discovery for treating this intractable pain condition. PMID:27630567

  10. Computer Modeling for Microwave Ablation in Breast Cancer Using a Coaxial Slot Antenna

    NASA Astrophysics Data System (ADS)

    Cepeda Rubio, Mario Francisco Jesus; Guerrero López, Geshel David; Valdés Perezgasga, Francisco; Flores García, Francisco; Vera Hernández, Arturo; Leija Salas, Lorenzo

    2015-11-01

    The use of breast cancer mammography screening has allowed detection of a greater number of small carcinomas, and this has facilitated treatment by minimally invasive techniques. Microwave energy is a promising alternative treatment because it can preferentially heat and damage high-water-content breast carcinomas. In order to evaluate the feasibility of using this technique to treat breast cancer, a coaxial slot antenna computer simulation based on an axisymmetric finite element method (FEM) model was used to compare heating differences between cancer and normal breast tissue. Three FEM computer models were developed: in one of them, the coaxial slot antenna was immersed only in homogeneous breast tissue; for the second one, the antenna was immersed only in cancer tissue; for the third one, the antenna was inserted into malignant tissue surrounded by breast tissue. According to the results, the computer modeling demonstrated that the difference in dielectric properties and thermal parameters between malignant and normal adipose-dominated tissue was able to cause preferential heating of tumors during microwave ablation. Furthermore, the ablation zone radius was 42 % larger in the tumor than in low-water-content adipose tissue. Even though this technique requires further research, it is a promising minimally invasive modality for the local treatment of breast cancer.

  11. NSG Mice Provide a Better Spontaneous Model of Breast Cancer Metastasis than Athymic (Nude) Mice

    PubMed Central

    Puchalapalli, Madhavi; Zeng, Xianke; Mu, Liang; Anderson, Aubree; Hix Glickman, Laura; Zhang, Ming; Sayyad, Megan R.; Mosticone Wangensteen, Sierra; Clevenger, Charles V.; Koblinski, Jennifer E.

    2016-01-01

    Metastasis is the most common cause of mortality in breast cancer patients worldwide. To identify improved mouse models for breast cancer growth and spontaneous metastasis, we examined growth and metastasis of both estrogen receptor positive (T47D) and negative (MDA-MB-231, SUM1315, and CN34BrM) human breast cancer cells in nude and NSG mice. Both primary tumor growth and spontaneous metastases were increased in NSG mice compared to nude mice. In addition, a pattern of metastasis similar to that observed in human breast cancer patients (metastases to the lungs, liver, bones, brain, and lymph nodes) was found in NSG mice. Furthermore, there was an increase in the metastatic burden in NSG compared to nude mice that were injected with MDA-MB-231 breast cancer cells in an intracardiac experimental metastasis model. This data demonstrates that NSG mice provide a better model for studying human breast cancer metastasis compared to the current nude mouse model. PMID:27662655

  12. Breast cancer staging

    MedlinePlus

    ... this page: //medlineplus.gov/ency/patientinstructions/000911.htm Breast cancer staging To use the sharing features on this ... Once your health care team knows you have breast cancer , they will do more tests to stage it. ...

  13. Stages of Breast Cancer

    MedlinePlus

    ... to treat breast cancer. Internal radiation therapy with strontium-89 (a radionuclide ) is used to relieve bone ... breast cancer that has spread to the bones. Strontium-89 is injected into a vein and travels ...

  14. Breast Cancer Treatment

    MedlinePlus

    ... to treat breast cancer. Internal radiation therapy with strontium-89 (a radionuclide ) is used to relieve bone ... breast cancer that has spread to the bones. Strontium-89 is injected into a vein and travels ...

  15. Breast Cancer Early Detection and Diagnosis

    MedlinePlus

    ... En Español Category Cancer A-Z Breast Cancer Breast Cancer Early Detection and Diagnosis Breast cancer is sometimes ... cancer screening is so important. Learn more. Can Breast Cancer Be Found Early? Breast cancer is sometimes found ...

  16. Can a single model explain both breast cancer and prostate cancer?

    PubMed Central

    Friedman, A Edward

    2007-01-01

    Background The Estradiol-Dihydrotestosterone model of prostate cancer (PC) showed how the interaction of hormones with specific hormone receptors affected apoptosis. The same hormone can produce different effects, depending on which hormone receptor it interacts with. Model This model proposes that the first step in the development of most PC and breast cancer (BC) occurs when aromatase converts testosterone to estradiol (E2). A sufficiently high enough local level of E2 results in telomerase activity. The telomerase activity allows cell division and may lead to BC or PC, which will proliferate if the rate of cell division is greater than the rate of cell death. The effect of hormones on their hormone receptors will affect the rate of cell death and determine whether or not the cancer proliferates. Conclusion By minimizing bcl-2 and maximizing apoptotic proteins, new systemic treatments for BC and PC can be developed that may be more effective than existing treatments. PMID:17678531

  17. Breast Cancer (For Kids)

    MedlinePlus

    ... With Breast Cancer Breast Cancer Prevention en español Cáncer de mama You may have heard about special events, like walks or races, to raise money for breast cancer research. Or maybe you've seen people wear ...

  18. Improving the contrast of breast cancer masses in ultrasound using an autoregressive model based filter.

    PubMed

    von Lavante, Etienne; Noble, J Alison

    2007-01-01

    The assessment and diagnosis of breast cancer with ultrasound is a challenging problem due to the low contrast between cancer masses and benign tissue. Due to this low contrast it has proven to be difficult to achieve reliable segmentation results on breast cancer masses. An autoregressive model has been employed to filter out of the backscattered RF-signal from a tissue harmonic image which is not degraded by harmonic leakage. Measurements on the filtered image have shown a significant (up to 45%) increase in contrast between cancer masses and benign tissue.

  19. Accuracy of BRCA1/2 mutation prediction models in Korean breast cancer patients.

    PubMed

    Kang, Eunyoung; Park, Sue K; Yang, Jae Jeong; Park, Boyoung; Lee, Min Hyuk; Lee, Jong Won; Suh, Young Jin; Lee, Jeong Eon; Kim, Hyun-Ah; Oh, Se Jeong; Kim, Sung-Won

    2012-08-01

    BRCAPRO and Myriad II are widely used models for predicting BRCA1/2 mutation probability before genetic testing. However, the accuracy of these models in Koreans is not known. This study was performed to evaluate the accuracy of the BRCAPRO and Myriad II models. Two hundred thirty-six women with breast cancer who underwent comprehensive BRCA1/2 genetic testing at our hospital between 2003 and 2010 were included in this study. We evaluated the performance of each model by comparing the numbers of observed versus predicted mutation carriers. We calculated sensitivity, specificity, and predictive values at 10 % estimated probability. Forty-six individuals were identified to carry a deleterious BRCA mutation. The prevalence of BRCA mutation (19.5 %) was significantly higher than that predicted by BRCAPRO (9.0 %, p = 0.001) and Myriad (5.6 %, p < 0.001). In familial breast cancer patients, BRCA mutation rate (observed 22.7 %) was underestimated by both BRCAPRO (expected 11.4 %, p = 0.006) and Myriad II (expected 6.4 %, p < 0.001). Subgroup analyses showed that both models underestimated the risk of BRCA mutation in patients with a family history of breast cancer (probands' age at breast cancer diagnosis >50 years), with only one relative with breast cancer, and with non-familial early-onset breast cancer or bilateral breast cancer. Using a 10 % cut-off, the sensitivities were 47.8 % (BRCAPRO) and 50.0 % (Myriad), and positive predictive values were 44.9 % (BRCAPRO) and 43.4 % (Myriad). Both BRCAPRO and Myriad II underestimated the risk of BRCA1/2 mutation in Koreans. Our findings suggest that these models are less sensitive in Korean women, and therefore a new BRCA mutation prediction model based on Korean data is needed for proper genetic counseling.

  20. Breast Cancer Rates by State

    MedlinePlus

    ... Associated Lung Ovarian Prostate Skin Uterine Cancer Home Breast Cancer Rates by State Language: English Español (Spanish) Recommend ... from breast cancer each year. Rates of Getting Breast Cancer by State The number of people who get ...

  1. An improved syngeneic orthotopic murine model of human breast cancer progression.

    PubMed

    Rashid, Omar M; Nagahashi, Masayuki; Ramachandran, Suburamaniam; Dumur, Catherine; Schaum, Julia; Yamada, Akimitsu; Terracina, Krista P; Milstien, Sheldon; Spiegel, Sarah; Takabe, Kazuaki

    2014-10-01

    Breast cancer drug development costs nearly $610 million and 37 months in preclinical mouse model trials with minimal success rates. Despite these inefficiencies, there are still no consensus breast cancer preclinical models. Murine mammary adenocarcinoma 4T1-luc2 cells were implanted subcutaneous (SQ) or orthotopically percutaneous (OP) injection in the area of the nipple, or surgically into the chest 2nd mammary fat pad under direct vision (ODV) in Balb/c immunocompetent mice. Tumor progression was followed by in vivo bioluminescence and direct measurements, pathology and survival determined, and tumor gene expression analyzed by genome-wide microarrays. ODV produced less variable-sized tumors and was a reliable method of implantation. ODV implantation into the chest 2nd mammary pad rather than into the abdominal 4th mammary pad, the most common implantation site, better mimicked human breast cancer progression pattern, which correlated with bioluminescent tumor burden and survival. Compared to SQ, ODV produced tumors that differentially expressed genes whose interaction networks are of importance in cancer research. qPCR validation of 10 specific target genes of interest in ongoing clinical trials demonstrated significant differences in expression. ODV implantation into the chest 2nd mammary pad provides the most reliable model that mimics human breast cancer compared from subcutaneous implantation that produces tumors with different genome expression profiles of clinical significance. Increased understanding of the limitations of the different preclinical models in use will help guide new investigations and may improve the efficiency of breast cancer drug development .

  2. The Impact of Diabetes Treatment on Survival in a Breast Cancer/Diabetes Model

    DTIC Science & Technology

    2008-10-09

    Epidemiological studies have identified that type 2 diabetes mellitus (DM2) is a significant risk factor for carcinogenesis and cancer death. A few...poster session. We have successfully bred the mouse model of HER2-positive breast cancer and diabetes mellitus , i.e., MMTV-ErbB2(neu): db/db. Based on

  3. Pembrolizumab in Treating Patients With Triple-Negative Breast Cancer

    ClinicalTrials.gov

    2017-04-11

    Estrogen Receptor Negative; HER2/Neu Negative; Invasive Breast Carcinoma; Progesterone Receptor Negative; Stage 0 Breast Cancer; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Triple-Negative Breast Carcinoma

  4. Building a Better Model: A Personalized Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Improve Application of Resources

    DTIC Science & Technology

    2012-10-01

    gold standard manual method. 15. SUBJECT TERMS Breast cancer; risk model; mammography ; breast density 16. SECURITY CLASSIFICATION OF: 17...individual’s risk beginning with personalized mammography screening decisions. This will be done by increasing the ability to predict a women’s risk of...correction, comparison of several different software methods, precision measurement, and evaluation of variation by mammography machine vendor. Once

  5. Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery

    PubMed Central

    Bocanegra, Melanie; Choi, Yoon-La; Girard, Luc; Gandhi, Jeet; Kwei, Kevin A.; Hernandez-Boussard, Tina; Wang, Pei; Gazdar, Adi F.; Minna, John D.; Pollack, Jonathan R.

    2009-01-01

    Background Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes–luminal A, luminal B, ERBB2-associated, basal-like and normal-like–with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). Here, we studied a collection of breast cancer cell lines to catalog molecular profiles and to assess their relation to breast cancer subtypes. Methods Whole-genome DNA microarrays were used to profile gene expression and CNAs in a collection of 52 widely-used breast cancer cell lines, and comparisons were made to existing profiles of primary breast tumors. Hierarchical clustering was used to identify gene-expression subtypes, and Gene Set Enrichment Analysis (GSEA) to discover biological features of those subtypes. Genomic and transcriptional profiles were integrated to discover within high-amplitude CNAs candidate cancer genes with coordinately altered gene copy number and expression. Findings Transcriptional profiling of breast cancer cell lines identified one luminal and two basal-like (A and B) subtypes. Luminal lines displayed an estrogen receptor (ER) signature and resembled luminal-A/B tumors, basal-A lines were associated with ETS-pathway and BRCA1 signatures and resembled basal-like tumors, and basal-B lines displayed mesenchymal and stem/progenitor-cell characteristics. Compared to tumors, cell lines exhibited similar patterns of CNA, but an overall higher complexity of CNA (genetically simple luminal-A tumors were not represented), and only partial conservation of subtype-specific CNAs. We identified 80 high-level DNA amplifications and 13 multi-copy deletions, and the resident genes with concomitantly altered gene-expression, highlighting known and novel

  6. Breast cancer screening behaviors among Korean American immigrant women: findings from the Health Belief Model.

    PubMed

    Lee, Hee Yun; Stange, Mia Ju; Ahluwalia, Jasjit S

    2015-11-01

    This study examined the utilization of clinical breast examinations (CBEs) and mammograms among Korean American immigrant women and investigated how the six constructs of Health Belief Model (HBM) are associated with the receipt of breast cancer screening. Using a quota sampling strategy, 202 Korean American immigrant women were recruited in metropolitan areas in the northeastern United States. Approximately 64% of the participants reported having had at least one CBE in their lifetime, and about 81% of the sample had undergone at least one mammogram in their lifetime. Women who perceived themselves to be susceptible to breast cancer were more likely to have undergone a CBE, and women who had lower barriers to screening or demonstrated a higher level of confidence were more likely than their counterparts to undergo a mammogram. Findings suggest that HBM constructs such as susceptibility, barriers, and confidence should be considered when designing interventions aimed at promoting breast cancer screening.

  7. UWB microwave breast cancer detection: generalized models and performance prediction.

    PubMed

    Chen, Yifan; Gunawan, Erry; Kim, Yongmin; Low, Kay Soon; Soh, Cheong Boon; Thi, Lin Lin

    2006-01-01

    This paper presents a generic framework for the modeling of ultra-wideband (UWB) signal propagation in human breast, which facilitates system-level simulations and provides performance prediction. The clutter associated with the breast tissue heterogeneity is modeled through several key parameters depending on the tissue compositions. Subsequently, important channel properties such as the backscatter energy and the probability density function of time-of-arrival are derived. The modified Hermite polynomials, which fit well into the real pulse shapes, are then used to model the UWB signals. Armed with the channel/signal model preliminaries, three metrics are proposed, namely, the mean clutter response, the clean tumor response, and the worst-case clutter response. The generalized model provides a parsimonious way to study the effects of tissue structures, pulse templates, and array setup on the performance of a specified UWB imaging system. Numerical examples are used to demonstrate the usefulness of the proposed approach.

  8. Building a Better Model: A Personalized Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Improve Application of Resources

    DTIC Science & Technology

    2014-10-01

    breast density. Scope: Assemble a cohort of women with known breast cancer risk factors and digital mammogram files...for women diagnosed with breast cancer using existing data sources and match them to controls (Harvey/Knaus). Validate and refine automated breast ...The two focus groups were women without a personal history of breast cancer and women who were breast cancer survivors. The Non- Cancer Group

  9. Male Breast Cancer

    PubMed Central

    Yalaza, Metin; İnan, Aydın; Bozer, Mikdat

    2016-01-01

    Male breast cancer (MBC) is a rare disease, accounting for less than 1% of all breast cancer diagnoses worldwide. Although breast carcinomas share certain characteristics in both genders, there are notable differences. Most studies on men with breast cancer are very small. Thus, most data on male breast cancer are derived from studies on females. However, when a number of these small studies are grouped together, we can learn more from them. This review emphasizes the incidence, etiology, clinical features, diagnosis, treatment, pathology, survival, and prognostic factors related to MBC.

  10. Photodynamic therapy for breast cancer in a BALB/c mouse model

    PubMed Central

    Ahn, Tae-Gyu; Lee, Byoung-Rai; Choi, Eun-Young; Kim, Dong Won

    2012-01-01

    Objective Photodynamic therapy (PDT) has been used for superficial neoplasms and its usage has been recently extended to deeper lesions. The purpose of this study was to observe whether or not PDT can cure breast cancer in the solid tumor model, and to define the critical point of laser amount for killing the cancer cells. Methods Twenty four BALB/c mouse models with subcutaneous EMT6 mammary carcinomas were prepared. Mice were divided into eight groups depending on the amount of illumination, and the tumor size was between 8 mm and 10 mm. We began by peritoneal infiltration with a photosensitizer 48 hours prior to applying the laser light, and then we applied a non-thermal laser light. The energy was from 350 J/cm2 to 30 J/cm2 to the cancer. Results Regardless of the tumor size from 8 mm to 10 mm, all mice apparently showed positive results via PDT. We also did not find any recurrence over 90 J/cm2. In all models, the color of the breast cancer lesions began to vary to dark on 2 days post PDT and the tumor regression began simultaneously. Also, we confirmed the complete regression of the breast cancer 21 days after PDT. Conclusion We confirmed that PDT may treat breast cancers that are sized less 10 mm in mouse models. The moderate energy to destruct the breast cancer cells may be 90 J/cm2. Therefore, we can expcect that PDT may be utilized to treat breast cancer, but we need more experience, skills and processing for clinical trials. PMID:22523628

  11. Activity of the Kinesin Spindle Protein Inhibitor Ispinesib (SB-715992) in Models of Breast Cancer

    PubMed Central

    Purcell, James W.; Davis, Jefferson; Reddy, Mamatha; Martin, Shamra; Samayoa, Kimberly; Vo, Hung; Thomsen, Karen; Bean, Peter; Kuo, Wen Lin; Ziyad, Safiyyah; Billig, Jessica; Feiler, Heidi S.; Gray, Joe W.; Wood, Kenneth W.; Cases, Sylvaine

    2010-01-01

    Purpose Ispinesib (SB-715992) is a potent inhibitor of kinesin spindle protein, a kinesin motor protein essential for the formation of a bipolar mitotic spindle and cell cycle progression through mitosis. Clinical studies of ispinesib have shown a 9% response rate in patients with locally advanced or metastatic breast cancer and a favorable safety profile without significant neurotoxicities, gastrointestinal toxicities, or hair loss. To better understand the potential of ispinesib in the treatment of breast cancer, we explored the activity of ispinesib alone and in combination with several therapies approved for the treatment of breast cancer. Experimental Design We measured the ispinesib sensitivity and pharmacodynamic response of breast cancer cell lines representative of various subtypes in vitro and as xenografts in vivo and tested the ability of ispinesib to enhance the antitumor activity of approved therapies. Results In vitro, ispinesib displayed broad antiproliferative activity against a panel of 53 breast cell lines. In vivo, ispinesib produced regressions in each of five breast cancer models and tumor-free survivors in three of these models. The effects of ispinesib treatment on pharmacodynamic markers of mitosis and apoptosis were examined in vitro and in vivo, revealing a greater increase in both mitotic and apoptotic markers in the MDA-MB-468 model than in the less sensitive BT-474 model. In vivo, ispinesib enhanced the antitumor activity of trastuzumab, lapatinib, doxorubicin, and capecitabine and exhibited activity comparable with paclitaxel and ixabepilone. Conclusions These findings support further clinical exploration of kinesin spindle protein inhibitors for the treatment of breast cancer. PMID:20068098

  12. Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

    PubMed Central

    Bilal, Erhan; Dutkowski, Janusz; Guinney, Justin; Jang, In Sock; Logsdon, Benjamin A.; Pandey, Gaurav; Sauerwine, Benjamin A.; Shimoni, Yishai; Moen Vollan, Hans Kristian; Mecham, Brigham H.; Rueda, Oscar M.; Tost, Jorg; Curtis, Christina; Alvarez, Mariano J.; Kristensen, Vessela N.; Aparicio, Samuel; Børresen-Dale, Anne-Lise; Caldas, Carlos; Califano, Andrea; Friend, Stephen H.; Ideker, Trey; Schadt, Eric E.; Stolovitzky, Gustavo A.; Margolin, Adam A.

    2013-01-01

    Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one avenue for improving treatment by matching the proper treatment with molecular subtypes of the disease. In this work, we employed a competition-based approach to modeling breast cancer prognosis using large datasets containing genomic and clinical information and an online real-time leaderboard program used to speed feedback to the modeling team and to encourage each modeler to work towards achieving a higher ranked submission. We find that machine learning methods combined with molecular features selected based on expert prior knowledge can improve survival predictions compared to current best-in-class methodologies and that ensemble models trained across multiple user submissions systematically outperform individual models within the ensemble. We also find that model scores are highly consistent across multiple independent evaluations. This study serves as the pilot phase of a much larger competition open to the whole research community, with the goal of understanding general strategies for model optimization using clinical and molecular profiling data and providing an objective, transparent system for assessing prognostic models. PMID:23671412

  13. Improving breast cancer survival analysis through competition-based multidimensional modeling.

    PubMed

    Bilal, Erhan; Dutkowski, Janusz; Guinney, Justin; Jang, In Sock; Logsdon, Benjamin A; Pandey, Gaurav; Sauerwine, Benjamin A; Shimoni, Yishai; Moen Vollan, Hans Kristian; Mecham, Brigham H; Rueda, Oscar M; Tost, Jorg; Curtis, Christina; Alvarez, Mariano J; Kristensen, Vessela N; Aparicio, Samuel; Børresen-Dale, Anne-Lise; Caldas, Carlos; Califano, Andrea; Friend, Stephen H; Ideker, Trey; Schadt, Eric E; Stolovitzky, Gustavo A; Margolin, Adam A

    2013-01-01

    Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one avenue for improving treatment by matching the proper treatment with molecular subtypes of the disease. In this work, we employed a competition-based approach to modeling breast cancer prognosis using large datasets containing genomic and clinical information and an online real-time leaderboard program used to speed feedback to the modeling team and to encourage each modeler to work towards achieving a higher ranked submission. We find that machine learning methods combined with molecular features selected based on expert prior knowledge can improve survival predictions compared to current best-in-class methodologies and that ensemble models trained across multiple user submissions systematically outperform individual models within the ensemble. We also find that model scores are highly consistent across multiple independent evaluations. This study serves as the pilot phase of a much larger competition open to the whole research community, with the goal of understanding general strategies for model optimization using clinical and molecular profiling data and providing an objective, transparent system for assessing prognostic models.

  14. Breast Cancer in Men

    MedlinePlus

    ... Older age • B RCA2 gene mutation • F amily history of breast cancer • Gynecomastia (enlargement of the breast tissue) • Klinefelter’s syndrome (a genetic condition related to high levels ...

  15. Do We Know What Causes Breast Cancer?

    MedlinePlus

    ... Research? Breast Cancer About Breast Cancer How Does Breast Cancer Form? Changes or mutations in DNA can cause ... please see our Content Usage Policy . More In Breast Cancer About Breast Cancer Risk and Prevention Early Detection ...

  16. Treating Male Breast Cancer by Stage

    MedlinePlus

    ... Men Treating Breast Cancer in Men Treatment of Breast Cancer in Men, by Stage Because there have been ... Doctor About Breast Cancer in Men? More In Breast Cancer In Men About Breast Cancer in Men Causes, ...

  17. Living as a Breast Cancer Survivor

    MedlinePlus

    ... a Breast Cancer Survivor Follow up Care After Breast Cancer Treatment Many women are relieved or excited to ... Menopausal Hormone Therapy After Breast Cancer More In Breast Cancer About Breast Cancer Risk and Prevention Early Detection ...

  18. Neoplastic effects of exemestane in premenopausal breast cancer model.

    PubMed

    Kubatka, P; Sadlonova, V; Kajo, K; Machalekova, K; Ostatnikova, D; Nosalova, G; Fetisovova, Z

    2008-01-01

    Aromatase inhibitor exemestane as a single - agent has no established role in the treatment of premenopausal breast cancer women. The aim of this study was to evaluate preventive effects of exemestane in the model of premenopausal Nmethyl- N-nitrosourea - induced mammary carcinogenesis in female rats. Exemestane treatment begun 7 days prior to carcinogen administration and continued next 12 weeks - till the end of experiment. Exemestane was dietary administered in two concentrations of 1 mg / 1kg (EXE 1), or 10 mg/1 kg (EXE 10), respectively. Exemestane increased the tumor frequency by 80.5 % (P=0.034) in the group EXE 1 and by 61.5 % (P=0.045) in the group EXE 10 in comparison with control animals. In the group EXE 10, the incidence of mammary tumors was increased by 11.5 % (P=0.31) and tumor volume by 41.5 % (P=0.23), also the latency was shortened by 8 days (P=0.078) compared with controls. In the groups with exemestane, changes in weights and histology of uterus and vagina were not found at the end of experiment. Exemestane did not alter serum concentrations of estradiol, testosterone and dehydroepiandrosterone. In the group EXE 10 in comparison with untreated animals, exemestane decreased serum concentrations of triacylglycerols by 9 % (P=0.032), total cholesterol by 19.5 % (P=0.0002) and cholesterol of low - density and high - density lipoprotein fractions by 41 % (P<0.0001), or 21.5 % (P=0.0002), respectively. In the group EXE 1, the decrease in cholesterol of low-density lipoprotein fraction by 22.5 % (P=0.0005) was recorded. An increase in food intake (P=0.023) and body weight gain (P=0.036) was found in the group EXE 10 compared with the control group (P<0.05). The present study points to apparent tumor - promoting effects of dietary administered exemestane in the model of premenopausal mammary carcinogenesis in female rats. Exemestane as a steroidal agent indicated androgenic effects on rat lipid metabolism in this experiment.

  19. Patient-derived xenograft (PDX) models in basic and translational breast cancer research.

    PubMed

    Dobrolecki, Lacey E; Airhart, Susie D; Alferez, Denis G; Aparicio, Samuel; Behbod, Fariba; Bentires-Alj, Mohamed; Brisken, Cathrin; Bult, Carol J; Cai, Shirong; Clarke, Robert B; Dowst, Heidi; Ellis, Matthew J; Gonzalez-Suarez, Eva; Iggo, Richard D; Kabos, Peter; Li, Shunqiang; Lindeman, Geoffrey J; Marangoni, Elisabetta; McCoy, Aaron; Meric-Bernstam, Funda; Piwnica-Worms, Helen; Poupon, Marie-France; Reis-Filho, Jorge; Sartorius, Carol A; Scabia, Valentina; Sflomos, George; Tu, Yizheng; Vaillant, François; Visvader, Jane E; Welm, Alana; Wicha, Max S; Lewis, Michael T

    2016-12-01

    Patient-derived xenograft (PDX) models of a growing spectrum of cancers are rapidly supplanting long-established traditional cell lines as preferred models for conducting basic and translational preclinical research. In breast cancer, to complement the now curated collection of approximately 45 long-established human breast cancer cell lines, a newly formed consortium of academic laboratories, currently from Europe, Australia, and North America, herein summarizes data on over 500 stably transplantable PDX models representing all three clinical subtypes of breast cancer (ER+, HER2+, and "Triple-negative" (TNBC)). Many of these models are well-characterized with respect to genomic, transcriptomic, and proteomic features, metastatic behavior, and treatment response to a variety of standard-of-care and experimental therapeutics. These stably transplantable PDX lines are generally available for dissemination to laboratories conducting translational research, and contact information for each collection is provided. This review summarizes current experiences related to PDX generation across participating groups, efforts to develop data standards for annotation and dissemination of patient clinical information that does not compromise patient privacy, efforts to develop complementary data standards for annotation of PDX characteristics and biology, and progress toward "credentialing" of PDX models as surrogates to represent individual patients for use in preclinical and co-clinical translational research. In addition, this review highlights important unresolved questions, as well as current limitations, that have hampered more efficient generation of PDX lines and more rapid adoption of PDX use in translational breast cancer research.

  20. A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

    PubMed

    Papageorgiou, Elpiniki I; Jayashree Subramanian; Karmegam, Akila; Papandrianos, Nikolaos

    2015-11-01

    Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49 years (who have a family history of breast cancer or other related cancers) to assess their personal risk for developing familial breast cancer (FBC). Besides, as each individual woman possesses different levels of risk of developing breast cancer depending on their family history, genetic predispositions and personal medical history, individualized care setting mechanism needs to be identified so that appropriate risk assessment, counseling, screening, and prevention options can be determined by the health care professionals. The presented work aims at developing a soft computing based medical decision support system using Fuzzy Cognitive Map (FCM) that assists health care professionals in deciding the individualized care setting mechanisms based on the FBC risk level of the given women. The FCM based FBC risk management system uses NHL to learn causal weights from 40 patient records and achieves a 95% diagnostic accuracy. The results obtained from the proposed model are in concurrence with the comprehensive risk evaluation tool based on Tyrer-Cuzick model for 38/40 patient cases (95%). Besides, the proposed model identifies high risk women by calculating higher accuracy of prediction than the standard Gail and NSAPB models. The testing accuracy of the proposed model using 10-fold cross validation technique outperforms other standard machine learning based inference engines as well as previous FCM-based risk prediction methods for BC.

  1. Modeling and Controlling Chaos in Breast Cancer: Toward Finding a Practical Cure—A first step

    NASA Astrophysics Data System (ADS)

    Abdollahzadeh, Somayeh; Sanayei, Ali

    2010-09-01

    The main aim of this work is finding a practical method which is based on a mathematical model to cure the breast cancer. This model with certain values of parameters could exhibit a chaotic behavior. Consequently, we achieve this goal by controlling chaos and find the best adjustable control parameter in order to control the malignancy.

  2. Microwave-induced thermoacoustic imaging model for potential breast cancer detection.

    PubMed

    Wang, Xiong; Bauer, Daniel R; Witte, Russell; Xin, Hao

    2012-10-01

    In this study, we develop a complete microwave-induced thermoacoustic imaging (TAI) model for potential breast cancer imaging application. Acoustic pressures generated by different breast tissue targets are investigated by finite-difference time-domain simulations of the entire TAI process including the feeding antenna, matching mechanism, fluidic environment, 3-D breast model, and acoustic transducer. Simulation results achieve quantitative relationships between the input microwave peak power and the resulting specific absorption rate as well as the output acoustic pressure. Microwave frequency dependence of the acoustic signals due to different breast tissues is established across a broadband frequency range (2.3-12 GHz), suggesting key advantages of spectroscopic TAI compare to TAI at a single frequency. Reconstructed thermoacoustic images are consistent with the modeling results. This model will contribute to design, optimization, and safety evaluation of microwave-induced TAI and spectroscopy.

  3. Three-Dimensional Breast Cancer Models Mimic Hallmarks of Size-Induced Tumor Progression.

    PubMed

    Singh, Manjulata; Mukundan, Shilpaa; Jaramillo, Maria; Oesterreich, Steffi; Sant, Shilpa

    2016-07-01

    Tumor size is strongly correlated with breast cancer metastasis and patient survival. Increased tumor size contributes to hypoxic and metabolic gradients in the solid tumor and to an aggressive tumor phenotype. Thus, it is important to develop three-dimensional (3D) breast tumor models that recapitulate size-induced microenvironmental changes and, consequently, natural tumor progression in real time without the use of artificial culture conditions or gene manipulations. Here, we developed size-controlled multicellular aggregates ("microtumors") of subtype-specific breast cancer cells by using non-adhesive polyethylene glycol dimethacrylate hydrogel microwells of defined sizes (150-600 μm). These 3D microtumor models faithfully represent size-induced microenvironmental changes, such as hypoxic gradients, cellular heterogeneity, and spatial distribution of necrotic/proliferating cells. These microtumors acquire hallmarks of tumor progression in the same cell lines within 6 days. Of note, large microtumors of hormone receptor-positive cells exhibited an aggressive phenotype characterized by collective cell migration and upregulation of mesenchymal markers at mRNA and protein level, which was not observed in small microtumors. Interestingly, triple-negative breast cancer (TNBC) cell lines did not show size-dependent upregulation of mesenchymal markers. In conclusion, size-controlled microtumor models successfully recapitulated clinically observed positive association between tumor size and aggressive phenotype in hormone receptor-positive breast cancer while maintaining clinically proven poor correlation of tumor size with aggressive phenotype in TNBC. Such clinically relevant 3D models generated under controlled experimental conditions can serve as precise preclinical models to study mechanisms involved in breast tumor progression as well as antitumor drug effects as a function of tumor progression. Cancer Res; 76(13); 3732-43. ©2016 AACR.

  4. Nursing Approach Based on Roy Adaptation Model in a Patient Undergoing Breast Conserving Surgery for Breast Cancer

    PubMed Central

    Ursavaş, Figen Erol; Karayurt, Özgül; İşeri, Özge

    2014-01-01

    The use of models in nursing provides nurses to focus on the role of nursing and its applications rather than medical practice. In addition, it helps patient care to be systematic, purposeful, controlled and effective. One of the commonly used models in nursing is Roy Adaptation Model. According to Roy adaptation model, the aim of nursing is to increase compliance and life expectancy. Roy Adaptation Model evaluates the patient in physiologic mode, self-concept mode, role function mode and interdependence mode aiming to provide holistic care. This article describes the use of Roy Adaptation Model in the care of a patient who has been diagnosed with breast cancer and had breast-conserving surgery. Patient data was evaluated in the four modes of Roy adaptation model (physiologic, self-concept, role function, and interdependence modes) and the nursing process was applied.

  5. Phytoestrogens in menopausal supplements induce ER-dependent cell proliferation and overcome breast cancer treatment in an in vitro breast cancer model

    SciTech Connect

    Duursen, Majorie B.M. van; Smeets, Evelien E.J.W.; Rijk, Jeroen C.W.; Nijmeijer, Sandra M.; Berg, Martin van den

    2013-06-01

    Breast cancer treatment by the aromatase inhibitor Letrozole (LET) or Selective Estrogen Receptor Modulator Tamoxifen (TAM) can result in the onset of menopausal symptoms. Women often try to relieve these symptoms by taking menopausal supplements containing high levels of phytoestrogens. However, little is known about the potential interaction between these supplements and breast cancer treatment, especially aromatase inhibitors. In this study, interaction of phytoestrogens with the estrogen receptor alpha and TAM action was determined in an ER-reporter gene assay (BG1Luc4E2 cells) and human breast epithelial tumor cells (MCF-7). Potential interactions with aromatase activity and LET were determined in human adrenocorticocarcinoma H295R cells. We also used the previously described H295R/MCF-7 co-culture model to study interactions with steroidogenesis and tumor cell proliferation. In this model, genistein (GEN), 8-prenylnaringenin (8PN) and four commercially available menopausal supplements all induced ER-dependent tumor cell proliferation, which could not be prevented by physiologically relevant LET and 4OH-TAM concentrations. Differences in relative effect potencies between the H295R/MCF-7 co-culture model and ER-activation in BG1Luc4E2 cells, were due to the effects of the phytoestrogens on steroidogenesis. All tested supplements and GEN induced aromatase activity, while 8PN was a strong aromatase inhibitor. Steroidogenic profiles upon GEN and 8PN exposure indicated a strong inhibitory effect on steroidogenesis in H295R cells and H295R/MCF-7 co-cultures. Based on our in vitro data we suggest that menopausal supplement intake during breast cancer treatment should better be avoided, at least until more certainty regarding the safety of supplemental use in breast cancer patients can be provided. - Highlights: • Supplements containing phytoestrogens are commonly used by women with breast cancer. • Phytoestrogens alter steroidogenesis in a co-culture breast

  6. Cure frailty models for survival data: application to recurrences for breast cancer and to hospital readmissions for colorectal cancer.

    PubMed

    Rondeau, Virginie; Schaffner, Emmanuel; Corbière, Fabien; Gonzalez, Juan R; Mathoulin-Pélissier, Simone

    2013-06-01

    Owing to the natural evolution of a disease, several events often arise after a first treatment for the same subject. For example, patients with a primary invasive breast cancer and treated with breast conserving surgery may experience breast cancer recurrences, metastases or death. A certain proportion of subjects in the population who are not expected to experience the events of interest are considered to be 'cured' or non-susceptible. To model correlated failure time data incorporating a surviving fraction, we compare several forms of cure rate frailty models. In the first model already proposed non-susceptible patients are those who are not expected to experience the event of interest over a sufficiently long period of time. The other proposed models account for the possibility of cure after each event. We illustrate the cure frailty models with two data sets. First to analyse time-dependent prognostic factors associated with breast cancer recurrences, metastases, new primary malignancy and death. Second to analyse successive rehospitalizations of patients diagnosed with colorectal cancer. Estimates were obtained by maximization of likelihood using SAS proc NLMIXED for a piecewise constant hazards model. As opposed to the simple frailty model, the proposed methods demonstrate great potential in modelling multivariate survival data with long-term survivors ('cured' individuals).

  7. Carboplatin and Eribulin Mesylate in Triple Negative Breast Cancer Patients

    ClinicalTrials.gov

    2016-06-30

    Estrogen Receptor-negative Breast Cancer; HER2-negative Breast Cancer; Male Breast Cancer; Progesterone Receptor-negative Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Triple-negative Breast Cancer

  8. An Integrated Model of the Transcriptome of HER2-Positive Breast Cancer

    PubMed Central

    Kalari, Krishna R.; Necela, Brian M.; Tang, Xiaojia; Thompson, Kevin J.; Lau, Melissa; Eckel-Passow, Jeanette E.; Kachergus, Jennifer M.; Anderson, S. Keith; Sun, Zhifu; Baheti, Saurabh; Carr, Jennifer M.; Baker, Tiffany R.; Barman, Poulami; Radisky, Derek C.; Joseph, Richard W.; McLaughlin, Sarah A.; Chai, High-seng; Camille, Stephan; Rossell, David; Asmann, Yan W.; Thompson, E. Aubrey; Perez, Edith A.

    2013-01-01

    Our goal in these analyses was to use genomic features from a test set of primary breast tumors to build an integrated transcriptome landscape model that makes relevant hypothetical predictions about the biological and/or clinical behavior of HER2-positive breast cancer. We interrogated RNA-Seq data from benign breast lesions, ER+, triple negative, and HER2-positive tumors to identify 685 differentially expressed genes, 102 alternatively spliced genes, and 303 genes that expressed single nucleotide sequence variants (eSNVs) that were associated with the HER2-positive tumors in our survey panel. These features were integrated into a transcriptome landscape model that identified 12 highly interconnected genomic modules, each of which represents a cellular processes pathway that appears to define the genomic architecture of the HER2-positive tumors in our test set. The generality of the model was confirmed by the observation that several key pathways were enriched in HER2-positive TCGA breast tumors. The ability of this model to make relevant predictions about the biology of breast cancer cells was established by the observation that integrin signaling was linked to lapatinib sensitivity in vitro and strongly associated with risk of relapse in the NCCTG N9831 adjuvant trastuzumab clinical trial dataset. Additional modules from the HER2 transcriptome model, including ubiquitin-mediated proteolysis, TGF-beta signaling, RHO-family GTPase signaling, and M-phase progression, were linked to response to lapatinib and paclitaxel in vitro and/or risk of relapse in the N9831 dataset. These data indicate that an integrated transcriptome landscape model derived from a test set of HER2-positive breast tumors has potential for predicting outcome and for identifying novel potential therapeutic strategies for this breast cancer subtype. PMID:24223926

  9. Treatment of Breast Cancer during Pregnancy

    MedlinePlus

    ... During Pregnancy Breast Cancer Breast Cancer Treatment Treating Breast Cancer During Pregnancy If you are diagnosed with breast ... treatment more complicated. Is it safe to treat breast cancer during pregnancy? Pregnant women can get treatment for ...

  10. Multiple functions of CXCL12 in a syngeneic model of breast cancer

    PubMed Central

    2010-01-01

    Background A growing body of work implicates chemokines, in particular CXCL12 and its receptors, in the progression and site-specific metastasis of various cancers, including breast cancer. Various agents have been used to block the CXCL12-CXCR4 interaction as a means of inhibiting cancer metastasis. However, as a potent chemotactic factor for leukocytes, CXCL12 also has the potential to enhance anti-cancer immunity. To further elucidate its role in breast cancer progression, CXCL12 and its antagonist CXCL12(P2G) were overexpressed in the syngeneic 4T1.2 mouse model of breast carcinoma. Results While expression of CXCL12(P2G) significantly inhibited metastasis, expression of wild-type CXCL12 potently inhibited both metastasis and primary tumor growth. The effects of wild-type CXCL12 were attributed to an immune response characterized by the induction of CD8+ T cell activity, enhanced cell-mediated cytotoxicity, increased numbers of CD11c+ cells in the tumor-draining lymph nodes and reduced accumulation of myeloid-derived suppressor cells in the spleen. Conclusions This study highlights the need to consider carefully therapeutic strategies that block CXCL12 signaling. Therapies that boost CXCL12 levels at the primary tumor site may prove more effective in the treatment of metastatic breast cancer. PMID:20849618

  11. Breast cancer statistics, 2011.

    PubMed

    DeSantis, Carol; Siegel, Rebecca; Bandi, Priti; Jemal, Ahmedin

    2011-01-01

    In this article, the American Cancer Society provides an overview of female breast cancer statistics in the United States, including trends in incidence, mortality, survival, and screening. Approximately 230,480 new cases of invasive breast cancer and 39,520 breast cancer deaths are expected to occur among US women in 2011. Breast cancer incidence rates were stable among all racial/ethnic groups from 2004 to 2008. Breast cancer death rates have been declining since the early 1990s for all women except American Indians/Alaska Natives, among whom rates have remained stable. Disparities in breast cancer death rates are evident by state, socioeconomic status, and race/ethnicity. While significant declines in mortality rates were observed for 36 states and the District of Columbia over the past 10 years, rates for 14 states remained level. Analyses by county-level poverty rates showed that the decrease in mortality rates began later and was slower among women residing in poor areas. As a result, the highest breast cancer death rates shifted from the affluent areas to the poor areas in the early 1990s. Screening rates continue to be lower in poor women compared with non-poor women, despite much progress in increasing mammography utilization. In 2008, 51.4% of poor women had undergone a screening mammogram in the past 2 years compared with 72.8% of non-poor women. Encouraging patients aged 40 years and older to have annual mammography and a clinical breast examination is the single most important step that clinicians can take to reduce suffering and death from breast cancer. Clinicians should also ensure that patients at high risk of breast cancer are identified and offered appropriate screening and follow-up. Continued progress in the control of breast cancer will require sustained and increased efforts to provide high-quality screening, diagnosis, and treatment to all segments of the population.

  12. Interdependence in Women with Breast Cancer and Their Partners: An Interindividual Model of Distress

    ERIC Educational Resources Information Center

    Dorros, Sam M.; Card, Noel A.; Segrin, Chris; Badger, Terry A.

    2010-01-01

    Objective: The aim of this investigation was to test whether interdependence in dyads living with breast cancer could account for person-partner crossover effects in distress outcomes. Method: The sample consisted of 95 dyads with early-stage breast cancer. By using reciprocal dyadic data from women with breast cancer and their partners, we fit a…

  13. An in vitro 3D model using collagen coated gelatin nanofibers for studying breast cancer metastasis.

    PubMed

    Janani, G; Pillai, Mamatha M; Selvakumar, R; Bhattacharyya, Amitava; Sabarinath, C

    2017-02-07

    The study of breast cancer metastasis is limited due to poor knowledge of molecular progression of breast tumor and varied heterogeneity. For a better understanding of tumor metastasis, a reliable 3D in vitro model bridging the gap between 2D cultures and in vivo animal model studies is essential. Our study is focused on two key points: (i) designing a 3D microenvironment for studying metastasis and (ii) simulating the metastasis milieu by inducing epithelial to mesenchymal transition (EMT) and mesenchymal to epithelial transition (MET). An electrospun gelatin nanofiber matrix (EGNF) was fabricated using electrospinning and further dip coated with different concentrations of collagen to obtain surface complexity and mechanical properties, similar to connective tissues. Nanofiber matrices were physically characterized by Fourier transform infrared spectroscopy (FTIR), atomic force microscopy (AFM), and field-emission scanning electron microscopy (FESEM). The FTIR, AFM, and FESEM results indicated the crosslinking and confirmed the presence of pores in the nanofiber matrices. Comparative studies on biocompatibility, cell attachment, and the proliferation of MCF-7 cells on EGNF and collagen coated gelatin nanofibrous matrix (CCGM) revealed higher cellular attachment and proliferation in CCGM. CCGM with human metastatic breast cancer cell line (MCF-7) was taken to study breast cancer metastasis using estrogen (induces EMT) and progesterone (induces MET) hormones for 24 h. Quantitative real-time PCR was used for quantifying the expression of metastasis related genes, and fluorescence microscopy for verifying the invasion of cells to the matrices. The expression of E-cadherin and matrix metalloproteinase 2 (MMP 2) confirmed the occurrence of EMT and MET. Live cell imaging and cellular attachment showed significant increase of cellular invasion in crosslinked 0.15% CCGM that serves as a suitable non-toxic, biocompatible, and affordable scaffold for studying breast cancer

  14. Models of Understanding: Historical Constructions of Breast Cancer in Medicine and Public Health

    ERIC Educational Resources Information Center

    Petersen, Jennifer

    2004-01-01

    The era of technical and scientific progress ushered in with the twentieth century brought new medical knowledge such as the Halstead 'radical' mastectomy, which promised a cure for breast cancer. These advances in medical knowledge were premised on an epidemiological model of disease, which shaped the treatment and public understanding of breast…

  15. A Threshold Model of Social Support, Adjustment, and Distress after Breast Cancer Treatment

    ERIC Educational Resources Information Center

    Mallinckrodt, Brent; Armer, Jane M.; Heppner, P. Paul

    2012-01-01

    This study examined a threshold model that proposes that social support exhibits a curvilinear association with adjustment and distress, such that support in excess of a critical threshold level has decreasing incremental benefits. Women diagnosed with a first occurrence of breast cancer (N = 154) completed survey measures of perceived support…

  16. Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation

    PubMed Central

    Wu, Yirong; Abbey, Craig K.; Chen, Xianqiao; Liu, Jie; Page, David C.; Alagoz, Oguzhan; Peissig, Peggy; Onitilo, Adedayo A.; Burnside, Elizabeth S.

    2015-01-01

    Abstract. Combining imaging and genetic information to predict disease presence and progression is being codified into an emerging discipline called “radiogenomics.” Optimal evaluation methodologies for radiogenomics have not been well established. We aim to develop a decision framework based on utility analysis to assess predictive models for breast cancer diagnosis. We garnered Gail risk factors, single nucleotide polymorphisms (SNPs), and mammographic features from a retrospective case-control study. We constructed three logistic regression models built on different sets of predictive features: (1) Gail, (2) Gail + Mammo, and (3) Gail + Mammo + SNP. Then we generated receiver operating characteristic (ROC) curves for three models. After we assigned utility values for each category of outcomes (true negatives, false positives, false negatives, and true positives), we pursued optimal operating points on ROC curves to achieve maximum expected utility of breast cancer diagnosis. We performed McNemar’s test based on threshold levels at optimal operating points, and found that SNPs and mammographic features played a significant role in breast cancer risk estimation. Our study comprising utility analysis and McNemar’s test provides a decision framework to evaluate predictive models in breast cancer risk estimation. PMID:26835489

  17. Modelling breast cancer requires identification and correction of a critical cell lineage-dependent transduction bias

    SciTech Connect

    Hines, William C.; Yaswen, Paul; Bissell, Mina J.

    2015-04-21

    When trying to explore the biology and etiology of human cancers, clinically relevant human culture models are essential. Current breast tumour models, such as those from oncogenically transformed primary breast cells, produce predominantly basal-like properties, whereas the more common phenotype expressed by the vast majority of breast tumours are luminal. Reasons for this puzzling, yet important phenomenon, are not understood. We show here that luminal epithelial cells are significantly more resistant to viral transduction than their myoepithelial counterparts. Here, we suggest that this is a significant barrier to generating luminal cell lines and experimental tumours in vivo and to accurate interpretation of results. We show that the resistance is due to lower affinity of luminal cells for virus attachment, which can be overcome by pretreating cells—or virus—with neuraminidase. We present an analytical method for quantifying transductional differences between cell types and an optimized protocol for transducing unsorted primary human breast cells in context.

  18. Modelling breast cancer requires identification and correction of a critical cell lineage-dependent transduction bias

    PubMed Central

    Hines, William C.; Yaswen, Paul; Bissell, Mina J.

    2015-01-01

    Clinically relevant human culture models are essential for developing effective therapies and exploring the biology and etiology of human cancers. Current breast tumour models, such as those from oncogenically transformed primary breast cells, produce predominantly basal-like properties, whereas the more common phenotype expressed by the vast majority of breast tumours are luminal. Reasons for this puzzling, yet important phenomenon, are not understood. We show here that luminal epithelial cells are significantly more resistant to viral transduction than their myoepithelial counterparts. We suggest that this is a significant barrier to generating luminal cell lines and experimental tumours in vivo and to accurate interpretation of results. We show that the resistance is due to lower affinity of luminal cells for virus attachment, which can be overcome by pretreating cells—or virus—with neuraminidase. We present an analytical method for quantifying transductional differences between cell types and an optimized protocol for transducing unsorted primary human breast cells in context. PMID:25896888

  19. Imaging exosome transfer from breast cancer cells to stroma at metastatic sites in orthotopic nude-mouse models.

    PubMed

    Suetsugu, Atsushi; Honma, Kimi; Saji, Shigetoyo; Moriwaki, Hisataka; Ochiya, Takahiro; Hoffman, Robert M

    2013-03-01

    Exosomes play an important role in cell-to-cell communication to promote tumor metastasis. In order to image the fate of cancer-cell-derived exosomes in orthotopic nude mouse models of breast cancer, we used green fluorescent protein (GFP)-tagged CD63, which is a general marker of exosomes. Breast cancer cells transferred their own exosomes to other cancer cells and normal lung tissue cells in culture. In orthotopic nude-mouse models, breast cancer cells secreted exosomes into the tumor microenvironment. Tumor-derived exosomes were incorporated into tumor-associated cells as well as circulating in the blood of mice with breast cancer metastases. These results suggest that tumor-derived exosomes may contribute to forming a niche to promote tumor growth and metastasis. Our results demonstrate the usefulness of GFP imaging to investigate the role of exosomes in cancer metastasis.

  20. Hormones and Breast Cancer.

    DTIC Science & Technology

    1997-10-01

    criteria were: having ever been treated with chemotherapy, or been diagnosed with systemic lupus erythematosus or liver cirrhosis ; having smoked the previous...concentrations of total and non- protein -bound oestradiol in patients with breast cancer and in normal controls. Int J Cancer 1982;29:17-21. 33. Reed MJ...and prolactin in postmenopausal breast cancer patients. Br J Cancer 1983;47:269-75. 36. Bruning PF, Bonfrer JMG, Hart, AAM. Non- protein bound

  1. An Improved Syngeneic Orthotopic Murine Model of Human Breast Cancer Progression

    PubMed Central

    Rashid, Omar M.; Nagahashi, Masayuki; Ramachandran, Suburamaniam; Dumur, Catherine; Schaum, Julia; Yamada, Akimitsu; Terracina, Krista P.; Milstien, Sheldon; Spiegel, Sarah; Takabe, Kazuaki

    2014-01-01

    Purpose Breast cancer drug development costs nearly $610 million and 37 months in preclinical mouse model trials with minimal success rates. Despite these inefficiencies, there are still no consensus breast cancer preclinical models. Methods Murine mammary adenocarcinoma 4T1-luc2 cells were implanted subcutaneous (SQ) or orthotopically percutaneous injection in the area of the nipple (OP), or surgically into the chest 2nd mammary fat pad under direct vision (ODV) in Balb/c immunocompetent mice. Tumor progression was followed by in vivo bioluminescence and direct measurements, pathology and survival determined, and tumor gene expression analyzed by genome-wide microarrays. Results ODV produced less variable sized tumors and was a reliable method of implantation. ODV implantation into the chest 2nd mammary pad rather than into the abdominal 4th mammary pad, the most common implantation site, better mimicked human breast cancer progression pattern, which correlated with bioluminescent tumor burden and survival. Compared to SQ, ODV produced tumors that differentially expressed genes whose interaction networks are of importance in cancer research. qPCR validation of 10 specific target genes of interest in ongoing clinical trials demonstrated significant differences in expression. Conclusions ODV implantation into the chest 2nd mammary pad provides the most reliable model that mimics human breast cancer compared from subcutaneous implantation that produces tumors with different genome expression profiles of clinical significance. Increased understanding of the limitations of the different preclinical models in use will help guide new investigations and may improve the efficiency of breast cancer drug development. PMID:25200444

  2. Statistical modelling of breast cancer incidence and mortality rates in Scotland.

    PubMed

    Robertson, C; Boyle, P

    1997-01-01

    The interpretation of time trends in disease rates can be facilitated using estimable contrasts from age-period-cohort models. Cohort and period trends in breast cancer incidence and mortality rates in Scotland were investigated using contrasts that measure the changes in the linear trends. These contrasts were compared with estimates obtained from mortality rates in the USA and Japan. A significant moderation of both breast cancer incidence and mortality rates was observed in Scotland, associated with cohorts of women born after the Second World War compared with women born between the two world wars. The moderation of breast cancer mortality among cohorts born after 1925 compared with cohorts born before 1925 that was observed in the USA and Japan was also observed in this study. This moderation is not present in the incidence rates. The relative decline in the risk of breast cancer seen in younger cohorts seems to be contradictory to the temporal pattern present among breast cancer risk factors. It may well be that the alteration of eating patterns as a result of rationing in the wartime and immediate post-war period, and the subsequent influence on certain breast cancer risk factors probably produced by such changes, may have had some influence on the development of healthier girls and women. Such speculation could be addressed in a well-designed epidemiological study. There have been no changes in the mortality rate trends with period in Scotland, although the changes in the incidence rate trends with period are consistent with an increase in registration coverage.

  3. Synchronous bilateral breast cancer in a male

    PubMed Central

    Rubio Hernández, María Caridad; Díaz Prado, Yenia Ivet; Pérez, Suanly Rodríguez; Díaz, Ronald Rodríguez; Aleaga, Zaili Gutiérrez

    2013-01-01

    Male breast cancer, which represents only 1% of all breast cancers, is occasionally associated with a family history of breast cancer. Sporadic male breast cancers presenting with another primary breast cancer are extremely rare. In this article, we report on a 70-year-old male patient with bilateral multifocal and synchronous breast cancer and without a family history of breast cancer. PMID:24319497

  4. Global breast cancer seasonality.

    PubMed

    Oh, Eun-Young; Ansell, Christine; Nawaz, Hamayun; Yang, Chul-Ho; Wood, Patricia A; Hrushesky, William J M

    2010-08-01

    Human breast cancer incidence has seasonal patterns that seem to vary among global populations. The aggregate monthly frequency of breast cancer diagnosis was collected and examined for 2,921,714 breast cancer cases diagnosed across 64 global regions over spans from 2 to 53 years. Breast cancer is consistently diagnosed more often in spring and fall, both in the Northern and Southern Hemispheres, regardless of presumable menopausal status (50). This seasonality is increasingly more prominent as population distance from the equator increases and this latitude dependence is most pronounced among women living in rural areas. Moreover, the overall annual incidence (2005-2006), per 100,000 population, of breast cancer increased as the latitude of population residence increased. These data make it clear that human breast cancer discovery occurs non-randomly throughout each year with peaks near both equinoxes and valleys near both solstices. This stable global breast cancer seasonality has implications for better prevention, more accurate screening, earlier diagnosis, and more effective treatment. This complex latitude-dependent breast cancer seasonality is clearly related to predictable local day/night length changes which occur seasonally. Its mechanism may depend upon seasonal sunlight mediation of vitamin D and seasonal mediation of nocturnal melatonin peak level and duration.

  5. BREAST CANCER AND EXERCISE

    ClinicalTrials.gov

    2008-03-19

    Prevent Osteoporosis and Osteoporotic Fractures; Improve Quality of Life; Improve Weight Control, and Muscular and Cardiovascular Fitness; Help the Patients to Return to Working Life; Reduce the Risk of Breast Cancer Recurrence; Prevent Other Diseases and Reduce All-Cause Mortality in Patients With Primary Breast Cancer.

  6. Modeling vitamin D actions in triple negative/basal-like breast cancer.

    PubMed

    LaPorta, Erika; Welsh, JoEllen

    2014-10-01

    Breast cancer is a heterogeneous disease with six molecularly defined subtypes, the most aggressive of which are triple negative breast cancers that lack expression of estrogen receptor (ER) and progesterone receptor (PR) and do not exhibit amplification of the growth factor receptor HER2. Triple negative breast cancers often exhibit basal-like gene signatures and are enriched for CD44+ cancer stem cells. In this report we have characterized the molecular actions of the VDR in a model of triple negative breast cancer. Estrogen independent, invasive mammary tumor cell lines established from wild-type (WT) and VDR knockout (VDRKO) mice were used to demonstrate that VDR is necessary for 1,25-dihydroxyvitamin D3 (1,25D) mediated anti-cancer actions in vitro and to identify novel targets of this receptor. Western blotting confirmed differential VDR expression and demonstrated the lack of ER, PR and Her2 in these cell lines. Re-introduction of human VDR (hVDR) into VDRKO cells restored the anti-proliferative actions of 1,25D. Genomic profiling demonstrated that 1,25D failed to alter gene expression in KO240 cells whereas major changes were observed in WT145 cells and in KO clones stably expressing hVDR (KO(hVDR) cells). With a 2-fold cutoff, 117 transcripts in WT145 cells and 197 transcripts in the KO(hVDR) clones were significantly altered by 1,25D. Thirty-five genes were found to be commonly regulated by 1,25D in all VDR-positive cell lines. Of these, we identified a cohort of four genes (Plau, Hbegf, Postn, Has2) that are known to drive breast cancer invasion and metastasis whose expression was markedly down regulated by 1,25D. These data support a model whereby 1,25D coordinately suppresses multiple proteins that are required for survival of triple-negative/basal-like breast cancer cells. Since studies have demonstrated a high prevalence of vitamin D deficiency in women with basal-like breast cancer, correction of vitamin D deficiency in these women represents a

  7. Model Development of Illness Perception and Consequences in Breast Cancer Patients.

    PubMed

    Hoseini, L; Lotfi Kashani, F; Akbari, S; Akbari, M E; Sarafraz Mehr, S

    2016-01-01

    Breast cancer is the first or second malignancy among women worldwide. Illness perception (IP) and quality of life (QoL) are major issues considering breast cancer management. An attempt was here made to inspect the predictive variables influencing IP and their impact on QoL in cancer patients. The key predictors adapted from previous studies including life satisfaction, perceived social support, self-esteem, hope, optimism, and spiritual well being were taken into account. Our sample included 200 female volunteers suffering from breast cancer applying exclusion criteria. The data were collected using various questionnaires and statistically analyzed by means of path analysis and structural equation modeling. The results revealed that of the six predictors, spiritual well being and social support had direct effects on QoL and IP. The only path with significant indirect correlation with IP was social support. Spiritual well being had the second significant direct effect on IP. Self-esteem occupied the third rank in direct effects on both QoL and IP. In conclusion, here in Iran and most likely in other strongly religious communities, spiritual intervention is an effective strategy to raise QoL. Also social support helps women suffering from breast cancer to experience better conception and coping strategies.

  8. A Portal Vein Injection Model to Study Liver Metastasis of Breast Cancer

    PubMed Central

    Goddard, Erica T.; Fischer, Jacob; Schedin, Pepper

    2016-01-01

    Breast cancer is the leading cause of cancer-related mortality in women worldwide. Liver metastasis is involved in upwards of 30% of cases with breast cancer metastasis, and results in poor outcomes with median survival rates of only 4.8 - 15 months. Current rodent models of breast cancer metastasis, including primary tumor cell xenograft and spontaneous tumor models, rarely metastasize to the liver. Intracardiac and intrasplenic injection models do result in liver metastases, however these models can be confounded by concomitant secondary-site metastasis, or by compromised immunity due to removal of the spleen to avoid tumor growth at the injection site. To address the need for improved liver metastasis models, a murine portal vein injection method that delivers tumor cells firstly and directly to the liver was developed. This model delivers tumor cells to the liver without complications of concurrent metastases in other organs or removal of the spleen. The optimized portal vein protocol employs small injection volumes of 5 - 10 μl, ≥ 32 gauge needles, and hemostatic gauze at the injection site to control for blood loss. The portal vein injection approach in Balb/c female mice using three syngeneic mammary tumor lines of varying metastatic potential was tested; high-metastatic 4T1 cells, moderate-metastatic D2A1 cells, and low-metastatic D2.OR cells. Concentrations of ≤ 10,000 cells/injection results in a latency of ~ 20 - 40 days for development of liver metastases with the higher metastatic 4T1 and D2A1 lines, and > 55 days for the less aggressive D2.OR line. This model represents an important tool to study breast cancer metastasis to the liver, and may be applicable to other cancers that frequently metastasize to the liver including colorectal and pancreatic adenocarcinomas. PMID:28060292

  9. Breast Cancer and Bone Loss

    MedlinePlus

    ... Balance › Breast Cancer and Bone Loss Fact Sheet Breast Cancer and Bone Loss July, 2010 Download PDFs English ... JoAnn Pinkerton, MD What is the link between breast cancer and bone loss? Certain treatments for breast cancer ...

  10. Integrative oncology for breast cancer patients: introduction of an expert-based model

    PubMed Central

    2012-01-01

    Background Malignant breast neoplasms are among the most frequent forms of cancer in the Western world. Conventional treatment of breast cancer may include surgery, hormonal therapy, chemotherapy, radiation and/or immunotherapy, all of which are often accompanied by severe side effects. Complementary and alternative medicine (CAM) treatments have been shown to be effective in alleviating those symptoms. Furthermore, with patient survival rates increasing, oncologists, psychologists and other therapists have to become more sensitive to the needs of cancer survivors that go beyond than the mere alleviation of symptoms. Many CAM methods are geared to treat the patient in a holistic manner and thus are also concerned with the patient’s psychological and spiritual needs. Discussion The use of certain CAM methods may become problematic when, as frequently occurs, patients use them indiscriminately and without informing their oncologists. Herbal medicines and dietary supplements, especially, may interfere with primary cancer treatments or have other detrimental effects. Thus, expertise in this highly specialized field of integrative medicine should be available to patients so that they can be advised about the benefits and negative effects of such preparations and practices. Being a beneficial combination of conventional and CAM care, integrative oncology makes possible the holistic approach to cancer care. The concept of integrative oncology for breast cancer is jointly practiced by the Department of Internal and Integrative Medicine, Kliniken Essen-Mitte, academic teaching hospital of the University of Duisburg-Essen, and the Breast Center at Kliniken Essen-Mitte in Germany. This model is introduced here; its scope is reviewed, and its possible implications for the practice of integrative medicine are discussed. Summary Evidence-based integrative care is crucial to the field of oncology in establishing state-of-the-art care for breast cancer patients. PMID:23170989

  11. Study on mouse model of triple-negative breast cancer: association between higher parity and triple-negative breast cancer.

    PubMed

    Huang, Chun; Wang, Xuan; Sun, Baocun; Li, Man; Zhao, Xiulan; Gu, Yanjun; Cui, Yanfen; Li, Yan

    2015-03-01

    To investigate the association between high parity and triple-negative breast cancer (TNBC), and explore the etiologic mechanisms of TNBC in Tientsin Albinao 2 (TA2) mice model. After the TA2 mice model with high parity and TNBC had been established, the cell proliferation and apoptosis were detected by immunohistochemical and TUNEL staining in mammary epithelia from different conditions, which included non-pregnancy, low and high gravidity in pregnancy, and carcinogenesis. Apoptotic signaling was analyzed by measuring bcl-2, bax, caspase-3, and caspase-9 expression using immunohistochemistry (IHC), western blot, and real-time PCR technique. Estrogen receptor α (ERα) and progesterone receptor (PR) were determined by immunohistochemical staining and real-time PCR. Both proliferation and apoptosis in mammary epithelia changed with the increasing of parity. Immunohistochemistry revealed increased cell proliferation and apoptosis were related with upregulation of ERα, PR, bcl-2, bax, caspase-3, and caspase-9 expression, especially during the fourth pregnancy. Mammary gland in the fourth pregnancy stage was the closest to precancerous. In precancerous mammary gland, cell proliferation rate was much higher than apoptosis rate. High parity could increase the ovarian hormones level and alter ovarian hormone receptor levels in TA2 mice, and their sensitivity to ovarian hormones result in the imbalance between cell proliferation and apoptosis in precancerous mammary epithelial cells.

  12. Inorganic Nanovehicle Targets Tumor in an Orthotopic Breast Cancer Model

    NASA Astrophysics Data System (ADS)

    Choi, Goeun; Kwon, Oh-Joon; Oh, Yeonji; Yun, Chae-Ok; Choy, Jin-Ho

    2014-03-01

    The clinical efficacy of conventional chemotherapeutic agent, methotrexate (MTX), can be limited by its very short plasma half-life, the drug resistance, and the high dosage required for cancer cell suppression. In this study, a new drug delivery system is proposed to overcome such limitations. To realize such a system, MTX was intercalated into layered double hydroxides (LDHs), inorganic drug delivery vehicle, through a co-precipitation route to produce a MTX-LDH nanohybrid with an average particle size of approximately 130 nm. Biodistribution studies in mice bearing orthotopic human breast tumors revealed that the tumor-to-liver ratio of MTX in the MTX-LDH-treated-group was 6-fold higher than that of MTX-treated-one after drug treatment for 2 hr. Moreover, MTX-LDH exhibited superior targeting effect resulting in high antitumor efficacy inducing a 74.3% reduction in tumor volume compared to MTX alone, and as a consequence, significant survival benefits. Annexin-V and propidium iodine dual staining and TUNEL analysis showed that MTX-LDH induced a greater degree of apoptosis than free MTX. Taken together, our data demonstrate that a new MTX-LDH nanohybrid exhibits a superior efficacy profile and improved distribution compared to MTX alone and has the potential to enhance therapeutic efficacy via inhibition of tumor proliferation and induction of apoptosis.

  13. Estimating the prevalence of breast cancer using a disease model: data problems and trends.

    PubMed

    Kruijshaar, Michelle E; Barendregt, Jan J; Van De Poll-Franse, Lonneke V

    2003-04-14

    BACKGROUND: Health policy and planning depend on quantitative data of disease epidemiology. However, empirical data are often incomplete or are of questionable validity. Disease models describing the relationship between incidence, prevalence and mortality are used to detect data problems or supplement missing data. Because time trends in the data affect their outcome, we compared the extent to which trends and known data problems affected model outcome for breast cancer. METHODS: We calculated breast cancer prevalence from Dutch incidence and mortality data (the Netherlands Cancer Registry and Statistics Netherlands) and compared this to regionally available prevalence data (Eindhoven Cancer Registry, IKZ). Subsequently, we recalculated the model adjusting for 1) limitations of the prevalence data, 2) a trend in incidence, 3) secondary primaries, and 4) excess mortality due to non-breast cancer deaths. RESULTS: There was a large discrepancy between calculated and IKZ prevalence, which could be explained for 60% by the limitations of the prevalence data plus the trend in incidence. Secondary primaries and excess mortality had relatively small effects only (explaining 17% and 6%, respectively), leaving a smaller part of the difference unexplained. CONCLUSION: IPM models can be useful both for checking data inconsistencies and for supplementing incomplete data, but their results should be interpreted with caution. Unknown data problems and trends may affect the outcome and in the absence of additional data, expert opinion is the only available judge.

  14. Breast cancer and depression.

    PubMed

    Somerset, Wendy; Stout, Steven C; Miller, Andrew H; Musselman, Dominique

    2004-07-01

    Major depression and depressive symptoms, although commonly encountered in patients with medical illnesses, are frequently underdiagnosed and undertreated in women with breast cancer. Depression and its associated symptoms diminish quality of life, adversely affect compliance with medical therapies, and reduce survival. Treatment of depression in women with breast cancer improves their dysphoria and other depressive symptoms, enhances quality of life, and may increase longevity. In this review, studies that investigate pathophysiologic alterations in patients with cancer and comorbid depression are discussed, and the few studies on treatment of depression and related symptoms in women with breast cancer are examined.

  15. Women with Disabilities and Breast Cancer Screening

    MedlinePlus

    ... and Reasonable Accommodations (RA) Women with Disabilities and Breast Cancer Screening Recommend on Facebook Tweet Share Compartir Finding Breast Cancer Early Can Save Lives Disabilities & Breast Cancer Screening ...

  16. Minimal elastographic modeling of breast cancer for model based tumor detection in a digital image elasto tomography (DIET) system

    NASA Astrophysics Data System (ADS)

    Lotz, Thomas F.; Muller, Natalie; Hann, Christopher E.; Chase, J. Geoffrey

    2011-03-01

    Digital Image Elasto Tomography (DIET) is a non-invasive breast cancer screening technology that images the surface motion of a breast under harmonic mechanical actuation. A new approach capturing the dynamics and characteristics of tumor behavior is presented. A simple mechanical model of the breast is used to identify a transfer function relating the input harmonic actuation to the output surface displacements using imaging data of a silicone phantom. Areas of higher stiffness cause significant changes of damping and resonant frequencies as seen in the resulting Bode plots. A case study on a healthy and tumor silicone breast phantom shows the potential for this model-based method to clearly distinguish cancerous and healthy tissue as well as correctly predicting the tumor position.

  17. Identifying Breast Cancer Oncogenes

    DTIC Science & Technology

    2011-10-01

    which is a study of 3131 human tumor samples and cancer cell lines including 243 breast samples. Tumorscape showed that PAK1 is located in an...chromosome 11q of human tumor samples and cancer cell lines that exhibit highest level of PAK1 amplification divided according to cancer type...breast, non-small cell (NSC) lung, ovarian (Ov), small cell lung (SCL), melanoma (Mel) and esophageal squamous (Esq). PAK1 and CCND1 1oci are marked . B

  18. Second cancer incidence risk estimates using BEIR VII models for standard and complex external beam radiotherapy for early breast cancer

    SciTech Connect

    Donovan, E. M.; James, H.; Bonora, M.; Yarnold, J. R.; Evans, P. M.

    2012-10-15

    Purpose: To compare organ specific cancer incidence risks for standard and complex external beam radiotherapy (including cone beam CT verification) following breast conservation surgery for early breast cancer.Method: Doses from breast radiotherapy and kilovoltage cone beam CT (CBCT) exposures were obtained from thermoluminescent dosimeter measurements in an anthropomorphic phantom in which the positions of radiosensitive organs were delineated. Five treatment deliveries were investigated: (i) conventional tangential field whole breast radiotherapy (WBRT), (ii) noncoplanar conformal delivery applicable to accelerated partial beast irradiation (APBI), (iii) two-volume simultaneous integrated boost (SIB) treatment, (iv) forward planned three-volume SIB, and (v) inverse-planned three volume SIB. Conformal and intensity modulated radiotherapy methods were used to plan the complex treatments. Techniques spanned the range from simple methods appropriate for patient cohorts with a low cancer recurrence risk to complex plans relevant to cohorts with high recurrence risk. Delineated organs at risk included brain, salivary glands, thyroid, contralateral breast, left and right lung, esophagus, stomach, liver, colon, and bladder. Biological Effects of Ionizing Radiation (BEIR) VII cancer incidence models were applied to the measured mean organ doses to determine lifetime attributable risk (LAR) for ages at exposure from 35 to 80 yr according to radiotherapy techniques, and included dose from the CBCT imaging. Results: All LAR decreased with age at exposure and were lowest for brain, thyroid, liver, and bladder (<0.1%). There was little dependence of LAR on radiotherapy technique for these organs and for colon and stomach. LAR values for the lungs for the three SIB techniques were two to three times those from WBRT and APBI. Uncertainties in the LAR models outweigh any differences in lung LAR between the SIB methods. Constraints in the planning of the SIB methods ensured that

  19. Using Residential History and Groundwater Modeling to Examine Drinking Water Exposure and Breast Cancer

    PubMed Central

    Gallagher, Lisa G.; Webster, Thomas F.; Aschengrau, Ann; Vieira, Verónica M.

    2010-01-01

    Background Spatial analyses of case–control data have suggested a possible link between breast cancer and groundwater plumes in upper Cape Cod, Massachusetts. Objective We integrated residential histories, public water distribution systems, and groundwater modeling within geographic information systems (GIS) to examine the association between exposure to drinking water that has been contaminated by wastewater effluent and breast cancer. Methods Exposure was assessed from 1947 to 1993 for 638 breast cancer cases who were diagnosed from 1983 to 1993 and 842 controls; we took into account residential mobility and drinking water source. To estimate the historical impact of effluent on drinking water wells, we modified a modular three-dimensional finite-difference groundwater model (MODFLOW) from the U.S. Geological Survey. The analyses included latency and exposure duration. Results Wastewater effluent impacted the drinking water wells of study participants as early as 1966. For > 0–5 years of exposure (versus no exposure), associations were generally null. Adjusted odds ratios (AORs) for > 10 years of exposure were slightly increased, assuming latency periods of 0 or 10 years [AOR = 1.3; 95% confidence interval (CI), 0.9–1.9 and AOR = 1.6; 95% CI, 0.8–3.2, respectively]. Statistically significant associations were estimated for ever-exposed versus never-exposed women when a 20-year latency period was assumed (AOR = 1.9; 95% CI, 1.0–3.4). A sensitivity analysis that classified exposures assuming lower well-pumping rates showed similar results. Conclusion We investigated the hypothesis generated by earlier spatial analyses that exposure to drinking water contaminated by wastewater effluent may be associated with breast cancer. Using a detailed exposure assessment, we found an association with breast cancer that increased with longer latency and greater exposure duration. PMID:20164002

  20. Docosahexaenoic Acid in Preventing Recurrence in Breast Cancer Survivors

    ClinicalTrials.gov

    2016-06-20

    Benign Breast Neoplasm; Ductal Breast Carcinoma In Situ; Invasive Breast Carcinoma; Lobular Breast Carcinoma In Situ; Paget Disease of the Breast; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  1. S6K1 promotes invasiveness of breast cancer cells in a model of metastasis of triple-negative breast cancer

    PubMed Central

    Khotskaya, Yekaterina B; Goverdhan, Aarthi; Shen, Jia; Ponz-Sarvise, Mariano; Chang, Shih-Shin; Hsu, Ming-Chuan; Wei, Yongkun; Xia, Weiya; Yu, Dihua; Hung, Mien-Chie

    2014-01-01

    Breast cancer is the second-leading cause of oncology-related death in US women. Of all invasive breast cancers, patients with tumors lacking expression of the estrogen and progesterone hormone receptors and overexpression of human epidermal growth factor receptor 2 have the poorest clinical prognosis. These referred to as triple-negative breast cancer (TNBC) represent an aggressive form of disease that is marked by early-onset metastasis, high tumor recurrence rate, and low overall survival during the first three years post-diagnosis. In this report, we discuss a novel model of early-onset TNBC metastasis to bone and lungs, derived from MDA-MB-231 cells. Breast cancer cells injected intravenously produced rapid, osteolytic metastases in long bones and spines of athymic nude mice, with concurrent metastasis to lungs, liver, and soft tissues. From the bone metastases, we developed a highly metastatic luciferase-tagged cell line variant named MDA-231-LUC Met. In this report, we demonstrate that the Akt/mTOR/S6K1 axis is hyperactivated in these cells, leading to a dramatic increase in phosphorylation of S6 ribosomal protein at Ser235/236. Lastly, we provide evidence that inhibition of the furthest downstream kinase in the mTOR pathway, S6K1, with a highly specific inhibitor PF-4708671 inhibits cell migration, and thus may provide a potent anti-metastatic adjuvant therapy approach. PMID:25075253

  2. Application of hazard models for patients with breast cancer in Cuba

    PubMed Central

    Alfonso, Anet Garcia; de Oca, Néstor Arcia Montes

    2011-01-01

    There has been a rapid development in hazard models and survival analysis in the last decade. This article aims to assess the overall survival time of breast cancer in Cuba, as well as to determine plausible factors that may have a significant impact in the survival time. The data are obtained from the National Cancer Register of Cuba. The data set used in this study relates to 6381 patients diagnosed with breast cancer between January 2000 and December 2002. Follow-up data are available until the end of December 2007, by which time 2167 (33.9%) had died and 4214 (66.1%) were still alive. The adequacy of six parametric models is assessed by using their Akaike information criterion values. Five of the six parametric models (Exponential, Weibull, Log-logistic, Lognormal, and Generalized Gamma) are parameterized by using the accelerated failure-time metric, and the Gompertz model is parameterized by using the proportional hazard metric. The main result in terms of survival is found for the different categories of the clinical stage covariate. The survival time among patients who have been diagnosed at early stage of breast cancer is about 60% higher than the one among patients diagnosed at more advanced stage of the disease. Differences among provinces have not been found. The age is another significant factor, but there is no important difference between patient ages. PMID:21686138

  3. Cancer stem cells from human breast tumors are involved in spontaneous metastases in orthotopic mouse models

    PubMed Central

    Liu, Huiping; Patel, Manishkumar R.; Prescher, Jennifer A.; Patsialou, Antonia; Qian, Dalong; Lin, Jiahui; Wen, Susanna; Chang, Ya-Fang; Bachmann, Michael H.; Shimono, Yohei; Dalerba, Piero; Adorno, Maddalena; Lobo, Neethan; Bueno, Janet; Dirbas, Frederick M.; Goswami, Sumanta; Somlo, George; Condeelis, John; Contag, Christopher H.; Gambhir, Sanjiv Sam; Clarke, Michael F.

    2010-01-01

    To examine the role of breast cancer stem cells (BCSCs) in metastasis, we generated human-in-mouse breast cancer orthotopic models using patient tumor specimens, labeled with optical reporter fusion genes. These models recapitulate human cancer features not captured with previous models, including spontaneous metastasis in particular, and provide a useful platform for studies of breast tumor initiation and progression. With noninvasive imaging approaches, as few as 10 cells of stably labeled BCSCs could be tracked in vivo, enabling studies of early tumor growth and spontaneous metastasis. These advances in BCSC imaging revealed that CD44+ cells from both primary tumors and lung metastases are highly enriched for tumor-initiating cells. Our metastatic cancer models, combined with noninvasive imaging techniques, constitute an integrated approach that could be applied to dissect the molecular mechanisms underlying the dissemination of metastatic CSCs (MCSCs) and to explore therapeutic strategies targeting MCSCs in general or to evaluate individual patient tumor cells and predict response to therapy. PMID:20921380

  4. Broccoli Sprout Extract in Treating Patients With Breast Cancer

    ClinicalTrials.gov

    2017-02-14

    Ductal Breast Carcinoma; Ductal Breast Carcinoma In Situ; Estrogen Receptor Negative; Estrogen Receptor Positive; Invasive Breast Carcinoma; Lobular Breast Carcinoma; Postmenopausal; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  5. Targeting Breast Cancer Metastasis

    PubMed Central

    Jin, Xin; Mu, Ping

    2015-01-01

    Metastasis is the leading cause of breast cancer-associated deaths. Despite the significant improvement in current therapies in extending patient life, 30–40% of patients may eventually suffer from distant relapse and succumb to the disease. Consequently, a deeper understanding of the metastasis biology is key to developing better treatment strategies and achieving long-lasting therapeutic efficacies against breast cancer. This review covers recent breakthroughs in the discovery of various metastatic traits that contribute to the metastasis cascade of breast cancer, which may provide novel avenues for therapeutic targeting. PMID:26380552

  6. Breast Cancer In Women

    Cancer.gov

    This infographic shows the Breast Cancer Subtypes in Women. It’s important for guiding treatment and predicting survival. Know the Science: HR = Hormone receptor. HR+ means tumor cells have receptors for the hormones estrogen or progesterone, which can promote the growth of HR+ tumors. Hormone therapies like tamoxifen can be used to treat HR+ tumors. HER2 = Human epidermal growth Factor receptor, HER2+ means tumor cells overexpress (make high levels of) a protein, called HE2/neu, which has been shown to be associated with certain aggressive types of breast cancer. Trastuzumab and some other therapies can target cells that overexpress HER2. HR+/HER2, aka “LuminalA”. 73% of all breast cancer cases: best prognosis, most common subtype for every race, age, and poverty level. HR-/HER2, aka “Triple Negative”: 13% of all breast cancer cases, Worst prognosis, Non-Hispanic blacks have the highest rate of this subtype at every age and poverty level. HR+/HER2+, aka “Luminal B”, 10% of all breast cancer cases, little geographic variation by state. HR-/HER2+, aka”HER2-enriched”, 5% of all breast cancer cases, lowest rates for all races and ethnicities. www.cancer.gov Source: Special section of the Annual Report to the Nation on the Status of Cancer, 1975-2011.

  7. Progress towards understanding heterotypic interactions in multi-culture models of breast cancer.

    PubMed

    Regier, Mary C; Alarid, Elaine T; Beebe, David J

    2016-06-13

    Microenvironments in primary tumors and metastases include multiple cell types whose dynamic and reciprocal interactions are central to progression of the disease. However, the literature involving breast cancer studied in vitro is dominated by cancer cells in mono-culture or co-cultured with one other cell type. For in vitro studies of breast cancer the inclusion of multiple cell types has led to models that are more representative of in vivo behaviors and functions as compared to more traditional monoculture. Here, we review foundational co-culture techniques and their adaptation to multi-culture (including three or more cell types). Additionally, while macroscale methods involving conditioned media, direct contact, and indirect interactions have been informative, we examined many advances that have been made more recently using microscale systems with increased control over cellular and structural complexity. Throughout this discussion we consider the benefits and limitations of current multi-culture methods and the significant results they have produced.

  8. A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent

    PubMed Central

    GHAYOUMI ZADEH, Hossein; HADDADNIA, Javad; MONTAZERI, Alimohammad

    2016-01-01

    Background: The segmentation of cancerous areas in breast images is important for the early detection of disease. Thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. Imaging technique is the focus of this research. Methods: The proposed model in this paper is a combination of surf and corners that are very resistant. Obtained features are resistant to changes in rotation and revolution then with the help of active contours, this feature has been used for segmenting cancerous areas. Results: Comparing the obtained results from the proposed method and mammogram show that proposed method is Accurate and appropriate. Benign and malignance of segmented areas are detected by Lyapunov exponent. Values obtained include TP=91.31%, FN=8.69%, FP=7.26%. Conclusion: The proposed method can classify those abnormally segmented areas of the breast, to the Benign and malignant cancer. PMID:27398339

  9. In Vitro Co-Culture Models of Breast Cancer Metastatic Progression towards Bone

    PubMed Central

    Arrigoni, Chiara; Bersini, Simone; Gilardi, Mara; Moretti, Matteo

    2016-01-01

    Advanced breast cancer frequently metastasizes to bone through a multistep process involving the detachment of cells from the primary tumor, their intravasation into the bloodstream, adhesion to the endothelium and extravasation into the bone, culminating with the establishment of a vicious cycle causing extensive bone lysis. In recent years, the crosstalk between tumor cells and secondary organs microenvironment is gaining much attention, being indicated as a crucial aspect in all metastatic steps. To investigate the complex interrelation between the tumor and the microenvironment, both in vitro and in vivo models have been exploited. In vitro models have some advantages over in vivo, mainly the possibility to thoroughly dissect in controlled conditions and with only human cells the cellular and molecular mechanisms underlying the metastatic progression. In this article we will review the main results deriving from in vitro co-culture models, describing mechanisms activated in the crosstalk between breast cancer and bone cells which drive the different metastatic steps. PMID:27571063

  10. Treatment Options for Male Breast Cancer

    MedlinePlus

    ... Breast & Gynecologic Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast Cancer Go to Health Professional Version Key Points Male ...

  11. Treatment Option Overview (Male Breast Cancer)

    MedlinePlus

    ... Breast & Gynecologic Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast Cancer Go to Health Professional Version Key Points Male ...

  12. General Information about Male Breast Cancer

    MedlinePlus

    ... Breast & Gynecologic Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast Cancer Go to Health Professional Version Key Points Male ...

  13. Environmental pollutants and breast cancer.

    PubMed Central

    Brody, Julia Green; Rudel, Ruthann A

    2003-01-01

    Breast cancer is the most common cancer in women and the leading cause of cancer death among women 35-54 years of age. Rising incidence, increased risk among migrants to higher risk regions, and poor prediction of individual risk have prompted a search for additional modifiable factors. Risk factors for breast cancer include reproductive characteristics associated with estrogen and other hormones, pharmaceutical hormones, and activities such as alcohol use and lack of exercise that affect hormone levels. As a result, investigation of hormonally active compounds in commercial products and pollution is a priority. Compounds that cause mammary tumors in animals are additional priorities. Animal models provide insight into possible mechanisms for effects of environmental pollutants on breast cancer and identify chemical exposures to target in epidemiologic studies. Although few epidemiologic studies have been conducted for chemical exposures, occupational studies show associations between breast cancer and exposure to certain organic solvents and polycyclic aromatic hydrocarbons (PAHs). Population-based studies have been limited to a few organochlorine compounds and PAHs and have been mostly negative. A variety of challenges in studies of breast cancer and the environment may have contributed to negative findings. Lack of exposure assessment tools and few hypothesis-generating toxicologic studies limit the scope of epidemiologic studies. Issues of timing with respect to latency and periods of breast vulnerability, and individual differences in susceptibility pose other challenges. Substantial work is needed in exposure assessment, toxicology, and susceptibility before we can expect a pay-off from large epidemiologic studies of breast cancer and environment. PMID:12826474

  14. Cutaneous manifestations of breast cancer.

    PubMed

    Tan, Antoinette R

    2016-06-01

    Breast cancer may present with cutaneous symptoms. The skin manifestations of breast cancer are varied. Some of the more common clinical presentations of metastatic cutaneous lesions from breast cancer will be described. Paraneoplastic cutaneous dermatoses have been reported as markers of breast malignancy and include erythema gyratum repens, acquired ichthyosis, dermatomyositis, multicentric reticulohistiocytosis, and hypertrichosis lanuginosa acquisita. Mammary Paget's disease, often associated with an underlying breast cancer, and Cowden syndrome, which has an increased risk of breast malignancy, each have specific dermatologic findings. Recognition of these distinct cutaneous signs is important in the investigation of either newly diagnosed or recurrent breast cancer.

  15. Breast Cancer: Treatment Options

    MedlinePlus

    ... when lymph nodes are not involved, called node-negative breast cancer. These shorter schedules are becoming more ... patients with a smaller, less-aggressive, and node-negative tumor. Intensity-modulated radiation therapy. Intensity-modulated radiation ...

  16. Recurrent Breast Cancer

    MedlinePlus

    ... when examined under a microscope, that's considered a negative margin. If any part of the border has ... or treatments directed at the HER2 gene (triple negative breast cancer), you may have an increased risk ...

  17. The breast cancer conundrum.

    PubMed

    Adams, Patrick

    2013-09-01

    For decades, rates of breast cancer have been going up faster in rich countries than in poor ones. Scientists are beginning to understand more about its causes but unanswered questions remain. Patrick Adams reports.

  18. Obesity and Breast Cancer.

    PubMed

    Fortner, Renée T; Katzke, Verena; Kühn, Tilman; Kaaks, Rudolf

    2016-01-01

    The relationship between adiposity and breast cancer risk and prognosis is complex, with associations that differ depending on when body size is assessed (e.g., pre- vs. postmenopausal obesity) and when breast cancer is diagnosed (i.e., pre- vs. postmenopausal disease). Further, the impact of obesity on risk differs by tumor hormone receptor status (e.g., estrogen (ER) and progesterone (PR) receptor) and, among postmenopausal women, use of exogenous hormones (i.e., hormone replacement therapy (HRT)). In the context of these complexities, this review focuses on associations between childhood and adolescent adiposity, general adiposity, weight changes (i.e., loss and gain), abdominal adiposity, and breast cancer risk and survival. Finally, we discuss potential mechanisms linking adiposity to breast cancer.

  19. Antitumour activity of the novel flavonoid Oncamex in preclinical breast cancer models

    PubMed Central

    Martínez-Pérez, Carlos; Ward, Carol; Turnbull, Arran K; Mullen, Peter; Cook, Graeme; Meehan, James; Jarman, Edward J; Thomson, Patrick IT; Campbell, Colin J; McPhail, Donald; Harrison, David J; Langdon, Simon P

    2016-01-01

    Background: The natural polyphenol myricetin induces cell cycle arrest and apoptosis in preclinical cancer models. We hypothesised that myricetin-derived flavonoids with enhanced redox properties, improved cell uptake and mitochondrial targeting might have increased potential as antitumour agents. Methods: We studied the effect of a second-generation flavonoid analogue Oncamex in a panel of seven breast cancer cell lines, applying western blotting, gene expression analysis, fluorescence microscopy and immunohistochemistry of xenograft tissue to investigate its mechanism of action. Results: Proliferation assays showed that Oncamex treatment for 8 h reduced cell viability and induced cytotoxicity and apoptosis, concomitant with increased caspase activation. Microarray analysis showed that Oncamex was associated with changes in the expression of genes controlling cell cycle and apoptosis. Fluorescence microscopy showed the compound's mitochondrial targeting and reactive oxygen species-modulating properties, inducing superoxide production at concentrations associated with antiproliferative effects. A preliminary in vivo study in mice implanted with the MDA-MB-231 breast cancer xenograft showed that Oncamex inhibited tumour growth, reducing tissue viability and Ki-67 proliferation, with no signs of untoward effects on the animals. Conclusions: Oncamex is a novel flavonoid capable of specific mitochondrial delivery and redox modulation. It has shown antitumour activity in preclinical models of breast cancer, supporting the potential of this prototypic candidate for its continued development as an anticancer agent. PMID:27031849

  20. Programmed Cell Death in Breast Cancer.

    DTIC Science & Technology

    1996-10-01

    TITLE: Programmed Cell Death in Breast Cancer PRINCIPAL INVESTIGATOR: Clark W. Distelhorst, M.D. CONTRACTING ORGANIZATION: Case Western Reserve...Programmed Cell Death in Breast Cancer DAMD17-94-J-4451 6. AUTHOR(S) Clark W. Distelhorst, M.D. 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8...cell death , apoptosis, in breast cancer cells has been developed. This model is based on induction of apoptosis by the selective endoplasmic reticulum

  1. Phytoestrogens oestrogen synthesis and breast cancer.

    PubMed

    Rice, Suman; Whitehead, Saffron A

    2008-02-01

    Phytoestrogens are used as 'natural' alternatives to HRT and, although epidemiological evidence implies that diets rich in phytoestrogens reduce the incidence of breast cancer, their weak oestrogenicity is also known to stimulate growth in experimental models of breast cancer. This review addresses the question as to how phytoestrogens may protect against breast cancer through their ability to bind preferentially to oestrogen receptor beta, inhibit enzymes that convert circulating steroid precursors into oestradiol and inhibit cell signalling pathways of growth factors.

  2. Mammary Stem Cell Based Somatic Mouse Models Reveal Breast Cancer Drivers Causing Cell Fate Dysregulation

    PubMed Central

    Zhang, Zheng; Christin, John R.; Wang, Chunhui; Ge, Kai; Oktay, Maja H.; Guo, Wenjun

    2016-01-01

    SUMMARY Cancer genomics have provided an unprecedented opportunity for understanding genetic causes of human cancer. However, distinguishing which mutations are functionally relevant to cancer pathogenesis remains a major challenge. We describe here a mammary stem cell (MaSC) organoid-based approach for rapid generation of somatic GEMMs (genetically engineered mouse models). By using RNAi and CRISPR-mediated genome engineering in MaSC-GEMMs, we have discovered that inactivation of Ptpn22 or Mll3, two genes mutated in human breast cancer, greatly accelerated PI3K-driven mammary tumorigenesis. Using these tumor models, we have also identified genetic alterations promoting tumor metastasis and causing resistance to PI3K-targeted therapy. Both Ptpn22 and Mll3 inactivation resulted in disruption of mammary gland differentiation and an increase in stem cell activity. Mechanistically, Mll3 deletion enhanced stem cell activity through activation of the HIF pathway. Thus, our study established a robust in vivo platform for functional cancer genomics and discovered functional breast cancer mutations. PMID:27653681

  3. Interactome analysis of myeloid-derived suppressor cells in murine models of colon and breast cancer.

    PubMed

    Aliper, Alexander M; Frieden-Korovkina, Victoria P; Buzdin, Anton; Roumiantsev, Sergey A; Zhavoronkov, Alex

    2014-11-30

    In solid cancers, myeloid derived suppressor cells (MDSC) infiltrate (peri)tumoral tissues to induce immune tolerance and hence to establish a microenvironment permissive to tumor growth. Importantly, the mechanisms that facilitate such infiltration or a subsequent immune suppression are not fully understood. Hence, in this study, we aimed to delineate disparate molecular pathways which MDSC utilize in murine models of colon or breast cancer. Using pathways enrichment analysis, we completed interactome maps of multiple signaling pathways in CD11b+/Gr1(high/low) MDSC from spleens and tumor infiltrates of mice with c26GM colon cancer and tumor infiltrates of MDSC in 4T1 breast cancer. In both cancer models, infiltrating MDSC, but not CD11b+ splenic cells, have been found to be enriched in multiple signaling molecules suggestive of their enhanced proliferative and invasive phenotypes. The interactome data has been subsequently used to reconstruct a previously unexplored regulation of MDSC cell cycle by the c-myc transcription factor which was predicted by the analysis. Thus, this study represents a first interactome mapping of distinct multiple molecular pathways whereby MDSC sustain cancer progression.

  4. Assessing a Drosophila Metastasis Model in Mouse and Human Breast Cancer

    DTIC Science & Technology

    2009-05-01

    Upper right: Cyclopamine reduced lung metastases (arrow) in In a syngeneic breast cancer 4TI xenograft. Imaging at day 5. Bone metastases model...hepatitis B virus, or hepatitis C virus; 5. Pregnant, breastfeeding , or of childbearing potential without using dual forms of effective contraception...assessed by bioluminenscence imaging on days 2, 7 and 9 after tumor injection (Fig.2c). This data indicates that Hh inhibitors could be effective

  5. Epithelial cell culture models for the prevention and therapy of clinical breast cancer (Review)

    PubMed Central

    2012-01-01

    Clinical breast cancer progresses via a multi-step carcinogenic process wherein genetic, molecular, endocrine and dietary factors play significant roles in the pathogenesis, prevention and therapy of the disease. Preclinical cell culture models, expressing clinically relevant genetic and endocrine defects and exhibiting quantifiable cancer risk, may provide facile, clinically translatable approaches to identify molecular targets and susceptible mechanistic pathways for the efficacy of novel interventional approaches. This review summarizes laboratory investigations focused on i) developing murine and human mammary tissue-derived cell culture models; ii) optimizing mechanism-based quantitative endpoint biomarker assays specific for carcinogenic risk and preventive/therapeutic efficacy; and iii) providing quantifiable proof-of-principle evidence for validation of the present cell culture approaches, capable of prioritizing efficacious lead compounds for subsequent in vivo animal studies and clinical trials for the prevention/therapy of breast cancer. Epithelial cell culture models are developed and characterized where the carcinogenic process is initiated by the targeted expression of clinically relevant oncogenes. The cell culture systems from mouse mammary tissue are in vitro approaches that complement the Ras and Myc transgenic mouse models. The human mammary tissue-derived systems are in vitro models for chemoendocrine, therapy-resistant, clinical, pre-invasive ER-/PR-/HER-2+ comedo ductal carcinoma in situ, ER+/PR+ chemoendocrine therapy-responsive breast cancer and ER-/PR-/HER-2- triple-negative chemoendocrine, therapy-resistant breast cancer. The oncogene-initiated phenotypes exhibit loss of homeostatic growth control, downregulation of cell apoptosis and gain of carcinogenic risk in vitro, as well as transplantable tumor development in vivo. Numerous mechanistically distinct, synthetic pharmacological agents, as well as naturally occurring dietary compounds

  6. Therapy targeted to the metastatic niche is effective in a model of stage IV breast cancer

    PubMed Central

    Yoo, Byunghee; Kavishwar, Amol; Wang, Ping; Ross, Alana; Pantazopoulos, Pamela; Dudley, Michael; Moore, Anna; Medarova, Zdravka

    2017-01-01

    Treatment of stage IV metastatic breast cancer patients is limited to palliative options and represents an unmet clinical need. Here, we demonstrate that pharmacological inhibition of miRNA-10b - a master regulator of metastatic cell viability – leads to elimination of distant metastases in a mouse model of metastatic breast cancer. This was achieved using the miRNA-10b inhibitory nanodrug, MN-anti-miR10b, which consists of magnetic nanoparticles, conjugated to LNA-based miR-10b antagomirs. Intravenous injection of MN-anti-miR10b into mice bearing lung, bone, and brain metastases from breast cancer resulted in selective accumulation of the nanodrug in metastatic tumor cells. Weekly treatments of mice with MN-anti-miR-10b and low-dose doxorubicin resulted in complete regression of pre-existing distant metastases in 65% of the animals and a significant reduction in cancer mortality. These observations were supported by dramatic reduction in proliferation and increase in apoptosis in metastatic sites. On a molecular level, we observed a significant increase in the expression of HOXD10, which is a known target of miRNA-10b. These results represent first steps into the uncharted territory of therapy targeted to the metastatic niche. PMID:28322342

  7. Trastuzumab (Herceptin®): overcoming resistance in HER2-overexpressing breast cancer models.

    PubMed

    Albrecht, Huguette

    2010-11-01

    Evaluation of: Fujimoto-Ouchi K, Sekiguchi F, Yamamoto K et al.: Preclinical study of prolonged administration of trastuzumab as combination therapy after disease progression during trastuzumab monotherapy. Cancer Chemother. Pharmacol. 66, 269-276 (2010). Trastuzumab, a humanized antibody targeted against human epidermal receptor (HER)2, is used in combination with chemotherapy to treat patients with breast cancers overexpressing HER2. Despite initial clinical responses, disease progresses in a significant proportion of patients treated with trastuzumab and chemotherapy. Evidence of resistance to trastuzumab has not deterred a widespread clinical practice in the treatment of metastatic breast cancer - at least before lapatinib entered the clinic - which consists of continued administration of trastuzumab in combination with another chemotherapeutic drug. At present, it is not known if patients benefit from this practice. The present preclinical study demonstrates that, in the MDA-MB-361 and KPL-4 HER2(+) breast cancer models, induced resistance to trastuzumab monotherapy can be overcome by a combination of trastuzumab and granulocyte colony stimulating factor or chemotherapy. The response to trastuzumab and granulocyte colony stimulating factor appears to involve the host's immune system and antibody-dependent cellular cytotoxicity. The mechanisms underlying the response to trastuzumab and chemotherapy remain unclear.

  8. Stereotactic Image-Guided Navigation During Breast Reconstruction in Patients With Breast Cancer

    ClinicalTrials.gov

    2017-04-12

    Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer

  9. Examining the Pathogenesis of Breast Cancer Using a Novel Agent-Based Model of Mammary Ductal Epithelium Dynamics

    PubMed Central

    Chapa, Joaquin; Bourgo, Ryan J.; Greene, Geoffrey L.; Kulkarni, Swati; An, Gary

    2013-01-01

    The study of the pathogenesis of breast cancer is challenged by the long time-course of the disease process and the multi-factorial nature of generating oncogenic insults. The characterization of the longitudinal pathogenesis of malignant transformation from baseline normal breast duct epithelial dynamics may provide vital insight into the cascading systems failure that leads to breast cancer. To this end, extensive information on the baseline behavior of normal mammary epithelium and breast cancer oncogenesis was integrated into a computational model termed the Ductal Epithelium Agent-Based Model (DEABM). The DEABM is composed of computational agents that behave according to rules established from published cellular and molecular mechanisms concerning breast duct epithelial dynamics and oncogenesis. The DEABM implements DNA damage and repair, cell division, genetic inheritance and simulates the local tissue environment with hormone excretion and receptor signaling. Unrepaired DNA damage impacts the integrity of the genome within individual cells, including a set of eight representative oncogenes and tumor suppressors previously implicated in breast cancer, with subsequent consequences on successive generations of cells. The DEABM reproduced cellular population dynamics seen during the menstrual cycle and pregnancy, and demonstrated the oncogenic effect of known genetic factors associated with breast cancer, namely TP53 and Myc, in simulations spanning ∼40 years of simulated time. Simulations comparing normal to BRCA1-mutant breast tissue demonstrated rates of invasive cancer development similar to published epidemiologic data with respect to both cumulative incidence over time and estrogen-receptor status. Investigation of the modeling of ERα-positive (ER+) tumorigenesis led to a novel hypothesis implicating the transcription factor and tumor suppressor RUNX3. These data suggest that the DEABM can serve as a potentially valuable framework to augment the

  10. Examining the pathogenesis of breast cancer using a novel agent-based model of mammary ductal epithelium dynamics.

    PubMed

    Chapa, Joaquin; Bourgo, Ryan J; Greene, Geoffrey L; Kulkarni, Swati; An, Gary

    2013-01-01

    The study of the pathogenesis of breast cancer is challenged by the long time-course of the disease process and the multi-factorial nature of generating oncogenic insults. The characterization of the longitudinal pathogenesis of malignant transformation from baseline normal breast duct epithelial dynamics may provide vital insight into the cascading systems failure that leads to breast cancer. To this end, extensive information on the baseline behavior of normal mammary epithelium and breast cancer oncogenesis was integrated into a computational model termed the Ductal Epithelium Agent-Based Model (DEABM). The DEABM is composed of computational agents that behave according to rules established from published cellular and molecular mechanisms concerning breast duct epithelial dynamics and oncogenesis. The DEABM implements DNA damage and repair, cell division, genetic inheritance and simulates the local tissue environment with hormone excretion and receptor signaling. Unrepaired DNA damage impacts the integrity of the genome within individual cells, including a set of eight representative oncogenes and tumor suppressors previously implicated in breast cancer, with subsequent consequences on successive generations of cells. The DEABM reproduced cellular population dynamics seen during the menstrual cycle and pregnancy, and demonstrated the oncogenic effect of known genetic factors associated with breast cancer, namely TP53 and Myc, in simulations spanning ∼40 years of simulated time. Simulations comparing normal to BRCA1-mutant breast tissue demonstrated rates of invasive cancer development similar to published epidemiologic data with respect to both cumulative incidence over time and estrogen-receptor status. Investigation of the modeling of ERα-positive (ER+) tumorigenesis led to a novel hypothesis implicating the transcription factor and tumor suppressor RUNX3. These data suggest that the DEABM can serve as a potentially valuable framework to augment the

  11. To screen or not to screen for breast cancer? How do modelling studies answer the question?

    PubMed

    Koleva-Kolarova, R G; Zhan, Z; Greuter, M J W; Feenstra, T L; De Bock, G H

    2015-10-01

    Breast cancer screening is a topic of hot debate, and currently no general consensus has been reached on starting and ending ages and screening intervals, in part because of a lack of precise estimations of the benefit-harm ratio. Simulation models are often applied to account for the expected benefits and harms of regular screening; however, the degree to which the model outcomes are reliable is not clear. In a recent systematic review, we therefore aimed to assess the quality of published simulation models for breast cancer screening of the general population. The models were scored according to a framework for qualitative assessment. We distinguished seven original models that utilized a common model type, modelling approach, and input parameters. The models predicted the benefit of regular screening in terms of mortality reduction; and overall, their estimates compared well to estimates of mortality reduction from randomized controlled trials. However, the models did not report on the expected harms associated with regular screening. We found that current simulation models for population breast cancer screening are prone to many pitfalls; their outcomes bear a high overall risk of bias, mainly because of a lack of systematic evaluation of evidence to calibrate the input parameters and a lack of external validation. Our recommendations concerning future modelling are therefore to use systematically evaluated data for the calibration of input parameters, to perform external validation of model outcomes, and to account for both the expected benefits and the expected harms so as to provide a clear balance and cost-effectiveness estimation and to adequately inform decision-makers.

  12. Breast Cancer Detection Using Optical Vascular Fusion

    DTIC Science & Technology

    2005-06-01

    growing characteristics in order to determine the strengths and weaknesses of the current non- invasive imaging technique . As a model for breast cancer...cells, to help improve technique detection and validation of the imaging system and protocols. In this work we used two human breast cancer models...brain cancer, and DLD-1 colon cancer). Our imaging technique examines the vasculature of the tumor through its response to inhalation of carbon

  13. Viruses and Breast Cancer

    PubMed Central

    Lawson, James S.; Heng, Benjamin

    2010-01-01

    Viruses are the accepted cause of many important cancers including cancers of the cervix and anogenital area, the liver, some lymphomas, head and neck cancers and indirectly human immunodeficiency virus associated cancers. For over 50 years, there have been serious attempts to identify viruses which may have a role in breast cancer. Despite these efforts, the establishment of conclusive evidence for such a role has been elusive. However, the development of extremely sophisticated new experimental techniques has allowed the recent development of evidence that human papilloma virus, Epstein-Barr virus, mouse mammary tumor virus and bovine leukemia virus may each have a role in the causation of human breast cancers. This is potentially good news as effective vaccines are already available to prevent infections from carcinogenic strains of human papilloma virus, which causes cancer of the uterine cervix. PMID:24281093

  14. Paternal overweight is associated with increased breast cancer risk in daughters in a mouse model

    PubMed Central

    Fontelles, Camile Castilho; Carney, Elissa; Clarke, Johan; Nguyen, Nguyen M.; Yin, Chao; Jin, Lu; Cruz, M. Idalia; Ong, Thomas Prates; Hilakivi-Clarke, Leena; de Assis, Sonia

    2016-01-01

    While many studies have shown that maternal weight and nutrition in pregnancy affects offspring’s breast cancer risk, no studies have investigated the impact of paternal body weight on daughters’ risk of this disease. Here, we show that diet-induced paternal overweight around the time of conception can epigenetically reprogram father’s germ-line and modulate their daughters’ birth weight and likelihood of developing breast cancer, using a mouse model. Increased body weight was associated with changes in the miRNA expression profile in paternal sperm. Daughters of overweight fathers had higher rates of carcinogen-induced mammary tumors which were associated with delayed mammary gland development and alterations in mammary miRNA expression. The hypoxia signaling pathway, targeted by miRNAs down-regulated in daughters of overweight fathers, was activated in their mammary tissues and tumors. This study provides evidence that paternal peri-conceptional body weight may affect daughters’ mammary development and breast cancer risk and warrants further studies in other animal models and humans. PMID:27339599

  15. Paternal overweight is associated with increased breast cancer risk in daughters in a mouse model.

    PubMed

    Fontelles, Camile Castilho; Carney, Elissa; Clarke, Johan; Nguyen, Nguyen M; Yin, Chao; Jin, Lu; Cruz, M Idalia; Ong, Thomas Prates; Hilakivi-Clarke, Leena; de Assis, Sonia

    2016-06-24

    While many studies have shown that maternal weight and nutrition in pregnancy affects offspring's breast cancer risk, no studies have investigated the impact of paternal body weight on daughters' risk of this disease. Here, we show that diet-induced paternal overweight around the time of conception can epigenetically reprogram father's germ-line and modulate their daughters' birth weight and likelihood of developing breast cancer, using a mouse model. Increased body weight was associated with changes in the miRNA expression profile in paternal sperm. Daughters of overweight fathers had higher rates of carcinogen-induced mammary tumors which were associated with delayed mammary gland development and alterations in mammary miRNA expression. The hypoxia signaling pathway, targeted by miRNAs down-regulated in daughters of overweight fathers, was activated in their mammary tissues and tumors. This study provides evidence that paternal peri-conceptional body weight may affect daughters' mammary development and breast cancer risk and warrants further studies in other animal models and humans.

  16. Morphine does not facilitate breast cancer progression in two preclinical mouse models for human invasive lobular and HER2⁺ breast cancer.

    PubMed

    Doornebal, Chris W; Vrijland, Kim; Hau, Cheei-Sing; Coffelt, Seth B; Ciampricotti, Metamia; Jonkers, Jos; de Visser, Karin E; Hollmann, Markus W

    2015-08-01

    Morphine and other opioid analgesics are potent pain-relieving agents routinely used for pain management in patients with cancer. However, these drugs have recently been associated with a worse relapse-free survival in patients with surgical cancer, thus suggesting that morphine adversely affects cancer progression and relapse. In this study, we evaluated the impact of morphine on breast cancer progression, metastatic dissemination, and outgrowth of minimal residual disease. Using preclinical mouse models for metastatic invasive lobular and HER2 breast cancer, we show that analgesic doses of morphine do not affect mammary tumor growth, angiogenesis, and the composition of tumor-infiltrating immune cells. Our studies further demonstrate that morphine, administered in the presence or absence of surgery-induced tissue damage, neither facilitates de novo metastatic dissemination nor promotes outgrowth of minimal residual disease after surgery. Together, these findings indicate that opioid analgesics can be used safely for perioperative pain management in patients with cancer and emphasize that current standards of "good clinical practice" should be maintained.

  17. Computerized Cognitive Retraining in Improving Cognitive Function in Breast Cancer Survivors

    ClinicalTrials.gov

    2017-03-02

    Cancer Survivor; Stage 0 Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  18. Cardiac Rehabilitation Program in Improving Cardiorespiratory Fitness in Stage 0-III Breast Cancer Survivors

    ClinicalTrials.gov

    2017-01-30

    Cancer Survivor; Stage 0 Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  19. Breast Cancer Detection

    NASA Technical Reports Server (NTRS)

    2000-01-01

    The BioScan System was developed by OmniCorder Technologies, Inc. at the Jet Propulsion Laboratory. The system is able to locate cancerous lesions by detecting the cancer's ability to recruit a new blood supply. A digital sensor detects infrared energy emitted from the body and identifies the minute differences accompanying the blood flow changes associated with cancerous cells. It also has potential use as a monitoring device during cancer treatment. This technology will reduce the time taken to detect cancerous cells and allow for earlier intervention, therefore increasing the overall survival rates of breast cancer patients.

  20. Oral contraceptives and breast cancer.

    PubMed

    Johnson, K H; Millard, P S

    1996-10-01

    The Collaborative Group on Hormonal Factors in Breast Cancer conducted a meta-analysis of data from 10 cohort and 44 case-control studies of the association between combined oral contraceptive (OC) use and breast cancer. 53,297 women with breast cancer and 100,239 women with no breast cancer from 25 countries worldwide were studied. Current OC users faced a 24% increased risk of developing breast cancer (confidence interval = 1.15-1.33). This risk fell steadily after cessation and reached 0 at 10 years and thereafter. Use of OCs with higher doses were associated with a greater risk of breast cancer than medium or low-dose OCs. The number of excess cancers in women while using OCs and up to 10 years after OC cessation stood at 0.5/10,000 women 16-19 years old, 1.5/10,000 women 20-24 years old, and 4.7/10,000 women 25-29 years old. The elevated risk of developing breast cancer did not differ by country of origin, ethnic background, reproductive history, or family history of breast cancer. OC users had less clinically advanced breast cancer than never-users who had breast cancer. This finding plus the moderate reduced risk of breast cancer more than 10 years after OC cessation suggest that OCs may effect earlier diagnosis of existing breast cancer instead of causing new breast cancers. The findings of this meta-analysis along with a plausible biologic mechanism (estrogen stimulates breast cancer cells) suggest a causal relationship between OC use and breast cancer. They also indicate that the risk is small, decreases with time, and is lower among low-dose OC users. It is reassuring that the breast cancers found among OC users is less clinically advanced than those found in never-users.

  1. Understanding your breast cancer risk

    MedlinePlus

    ... ency/patientinstructions/000830.htm Understanding your breast cancer risk To use the sharing features on this page, ... you can do to help prevent breast cancer. Risk Factors You Cannot Control Risk factors you cannot ...

  2. Risks of Breast Cancer Screening

    MedlinePlus

    ... trials is available from the NCI website . Three tests are used by health care providers to screen for breast cancer: Mammogram Mammography is the most common screening test for breast cancer . A mammogram is an x- ...

  3. Treatment Option Overview (Breast Cancer)

    MedlinePlus

    ... to treat breast cancer. Internal radiation therapy with strontium-89 (a radionuclide ) is used to relieve bone ... breast cancer that has spread to the bones. Strontium-89 is injected into a vein and travels ...

  4. General Information about Breast Cancer

    MedlinePlus

    ... to treat breast cancer. Internal radiation therapy with strontium-89 (a radionuclide ) is used to relieve bone ... breast cancer that has spread to the bones. Strontium-89 is injected into a vein and travels ...

  5. Combination of drug-conjugated SWCNT nanocarriers for efficient therapy of cancer stem cells in a breast cancer animal model.

    PubMed

    Al Faraj, Achraf; Shaik, Asma Sultana; Ratemi, Elaref; Halwani, Rabih

    2016-03-10

    Targeting breast cancer and more specifically cancer stem cell (CSC) subpopulation, responsible for tumor growth, resistance and self-renewal, using combination of therapeutic drugs selectively delivered via biocompatible nanocarriers, provides a novel approach for effective therapy. Here, we propose to evaluate the potential therapeutic efficacy of combining Paclitaxel and Salinomycin drugs actively targeted to both breast cancer and CSCs in xenograft murine model after conjugation with biocompatible CD44 antibody conjugated SWCNTs via hydrazone linker allowing pH-responsive release mechanism near the acidic tumor microenvironment. Both in vitro investigations on MDA-MB-231, sorted CSC negative or CSC positive fractions and in vivo evaluations on tumor-bearing mice using noninvasive bioluminescence and magnetic resonance imaging confirmed the enhanced therapeutic effect of the combined therapy compared to treatment with individual drug-conjugated nanocarriers or free drug suspensions. Thus, confirmed the great promise of the developed SWCNTs drug delivery system for effective breast cancer treatment by targeting and eradicating both whole tumor cells and CSCs populations.

  6. A Model for Breast Cancer-Induced Angiogenesis

    DTIC Science & Technology

    1999-09-01

    M ., Roesel, J. L ., Benz, rally) regulated. For instance, our data show that PD-ECGF C., Mueller, H., Matter, A., Zuber, M ., Luescher, K., Litschgi, M ...Harris, A. L ., and Bicknell, R. 2. Heffelfimger, S. C., Yassin, R., Miller, M . A., and Lower, E. Vascu- Thymidine phosphorylase is angiogenic and promotes... Gullino , P. M . Neovascularization induced by breast precancerous? Arch. Pathol. Lab, Med., 110: 171-173, 1985. intraocular xenografts of normal

  7. A decision-analytic model for early stage breast cancer: lumpectomy vs mastectomy.

    PubMed

    Büyükdamgaci-Alogan, G; Elele, T; Hayran, M; Erman, M; Kiliçkap, S

    2008-01-01

    The purpose was to construct a decision model that incorporated patient preferences over differing health state prospects and to analyze the decision context of early stage breast cancer patients in relation to two main surgical treatment options. A Markov chain was constructed to project the clinical history of breast carcinoma following surgery. A Multi Attribute Utility Model was developed for outcome evaluation. Transition probabilities were obtained by using subjective probability assessment. This study was performed on the sample population of female university students and utilities were elicited from these healthy volunteers. The results were validated by using Standard Gamble technique. Finally, Monte Carlo Simulation was utilized in Treeage-Pro 2006-Suit software program in order to calculate expected utility generated by each treatment option. The results showed that, if the subject had mastectomy, mean value for the quality adjusted life years gained was 6.42; on the other hand, if the preference was lumpectomy, it was 7.00 out of a possible 10 years. Sensitivity analysis on transition probabilities to local recurrence and salvaged states was performed and two threshold values were observed. Additionally, sensitivity analysis on utilities showed that the model was more sensitive to no evidence of disease state; however, was not sensitive to utilities of local recurrence and salvaged states. The decision model was developed with reasonable success for early stage breast cancer patients, and tested by using general public data. The results obtained from these data showed that lumpectomy was more favourable for these participants.

  8. What's New in Breast Cancer Research and Treatment?

    MedlinePlus

    ... Cancer Research? Breast Cancer About Breast Cancer What’s New in Breast Cancer Research? Researchers around the world ... cancer causes Reducing breast cancer risk Managing DCIS New lab tests for breast cancer New imaging tests ...

  9. Highly Adaptable Triple-Negative Breast Cancer Cells as a Functional Model for Testing Anticancer Agents

    PubMed Central

    Singh, Balraj; Shamsnia, Anna; Raythatha, Milan R.; Milligan, Ryan D.; Cady, Amanda M.; Madan, Simran; Lucci, Anthony

    2014-01-01

    A major obstacle in developing effective therapies against solid tumors stems from an inability to adequately model the rare subpopulation of panresistant cancer cells that may often drive the disease. We describe a strategy for optimally modeling highly abnormal and highly adaptable human triple-negative breast cancer cells, and evaluating therapies for their ability to eradicate such cells. To overcome the shortcomings often associated with cell culture models, we incorporated several features in our model including a selection of highly adaptable cancer cells based on their ability to survive a metabolic challenge. We have previously shown that metabolically adaptable cancer cells efficiently metastasize to multiple organs in nude mice. Here we show that the cancer cells modeled in our system feature an embryo-like gene expression and amplification of the fat mass and obesity associated gene FTO. We also provide evidence of upregulation of ZEB1 and downregulation of GRHL2 indicating increased epithelial to mesenchymal transition in metabolically adaptable cancer cells. Our results obtained with a variety of anticancer agents support the validity of the model of realistic panresistance and suggest that it could be used for developing anticancer agents that would overcome panresistance. PMID:25279830

  10. Longitudinal in vivo transcutaneous observation of Raman signals from breast cancer during chemotherapy in small animal model

    NASA Astrophysics Data System (ADS)

    Seong, Myeongsu; Myoung, NoSoung; Yim, Sang-Youp; Kim, Jae G.

    2015-02-01

    Because mammography, the gold standard of breast cancer screening and monitoring treatment efficacy, has limitations, there is a necessity to have a new method for breast cancer patients. Raman spectroscopy is considered as one of the best alternative approaches due to its ability of visualizing (bio)chemical information of a matter. In this study, we hypothesized that the change of biochemical composition occurs earlier than morphological change in breast cancer during chemotherapy, and attempted to prove it by employing fiber-optic Raman spectroscopy for longitudinal Raman measurement in small animal breast cancer model. To confirm the hypothesis, we measured Raman spectra of a tumor breast and the contralateral breast during chemotherapy for 4 fisher 344 female rats longitudinally. Principal component analysis and Raman spectral differences between breast tumor and contralateral normal breast did not show a clear difference between them which may have been caused by interference from skin. Thus, spatially-offset Raman spectroscopy will be employed in order to acquire the Raman signal directly from tumor while suppressing Raman signal from skin for the future study.

  11. Mucin 1-specific immunotherapy in a mouse model of spontaneous breast cancer.

    PubMed

    Mukherjee, Pinku; Madsen, Cathy S; Ginardi, Amelia R; Tinder, Teresa L; Jacobs, Fred; Parker, Joanne; Agrawal, Babita; Longenecker, B Michael; Gendler, Sandra J

    2003-01-01

    Human mucin 1 (MUC1) is an epithelial mucin glycoprotein that is overexpressed in 90% of all adenocarcinomas including breast, lung, pancreas, prostate, stomach, colon, and ovary. MUC1 is a target for immune intervention, because, in patients with solid adenocarcinomas, low-level cellular and humoral immune responses to MUC1 have been observed, which are not sufficiently strong to eradicate the growing tumor. The hypothesis for this study is that enhancing MUC1-specific immunity will result in antitumor immunity. To test this, the authors have developed a clinically relevant breast cancer model that demonstrates peripheral and central tolerance to MUC1 and develops spontaneous tumors of the mammary gland. In these mice, the authors tested a vaccine formulation comprised of liposomal-MUC1 lipopeptide and human recombinant interleukin-2. Results indicate that when compared with untreated mice, immunized mice develop T cells that express intracellular IFN-gamma, are reactive with MHC class I H-2Db/MUC1 tetramer, and are cytotoxic against MUC1-expressing tumor cells in vitro. The presence of MUC1-specific CTL did not translate into a clinical response as measured by time of tumor onset, tumor burden, and survival. The authors demonstrate that some of the immune-evasion mechanisms used by the tumor cells include downregulation of MHC-class I molecule, expression of TGF-beta2, and decrease in IFN-gamma -expressing effector T cells as tumors progress. Finally, utilizing an injectable breast cancer model, the authors show that targeting a single tumor antigen may not be an effective antitumor treatment, but that immunization with dendritic cells fed with whole tumor lysate is effective in breaking tolerance and protecting mice from subsequent tumor challenge. A physiologically relevant spontaneous breast cancer model has been developed to test improved immunotherapeutic approaches.

  12. Variable selection in semiparametric cure models based on penalized likelihood, with application to breast cancer clinical trials.

    PubMed

    Liu, Xiang; Peng, Yingwei; Tu, Dongsheng; Liang, Hua

    2012-10-30

    Survival data with a sizable cure fraction are commonly encountered in cancer research. The semiparametric proportional hazards cure model has been recently used to analyze such data. As seen in the analysis of data from a breast cancer study, a variable selection approach is needed to identify important factors in predicting the cure status and risk of breast cancer recurrence. However, no specific variable selection method for the cure model is available. In this paper, we present a variable selection approach with penalized likelihood for the cure model. The estimation can be implemented easily by combining the computational methods for penalized logistic regression and the penalized Cox proportional hazards models with the expectation-maximization algorithm. We illustrate the proposed approach on data from a breast cancer study. We conducted Monte Carlo simulations to evaluate the performance of the proposed method. We used and compared different penalty functions in the simulation studies.

  13. Omega-3 Fatty Acid in Treating Patients With Stage I-III Breast Cancer

    ClinicalTrials.gov

    2017-03-13

    Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Male Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  14. The selective estrogen receptor downregulator GDC-0810 is efficacious in diverse models of ER+ breast cancer

    PubMed Central

    Joseph, James D; Darimont, Beatrice; Zhou, Wei; Arrazate, Alfonso; Young, Amy; Ingalla, Ellen; Walter, Kimberly; Blake, Robert A; Nonomiya, Jim; Guan, Zhengyu; Kategaya, Lorna; Govek, Steven P; Lai, Andiliy G; Kahraman, Mehmet; Brigham, Dan; Sensintaffar, John; Lu, Nhin; Shao, Gang; Qian, Jing; Grillot, Kate; Moon, Michael; Prudente, Rene; Bischoff, Eric; Lee, Kyoung-Jin; Bonnefous, Celine; Douglas, Karensa L; Julien, Jackaline D; Nagasawa, Johnny Y; Aparicio, Anna; Kaufman, Josh; Haley, Benjamin; Giltnane, Jennifer M; Wertz, Ingrid E; Lackner, Mark R; Nannini, Michelle A; Sampath, Deepak; Schwarz, Luis; Manning, Henry Charles; Tantawy, Mohammed Noor; Arteaga, Carlos L; Heyman, Richard A; Rix, Peter J; Friedman, Lori; Smith, Nicholas D; Metcalfe, Ciara; Hager, Jeffrey H

    2016-01-01

    ER-targeted therapeutics provide valuable treatment options for patients with ER+ breast cancer, however, current relapse and mortality rates emphasize the need for improved therapeutic strategies. The recent discovery of prevalent ESR1 mutations in relapsed tumors underscores a sustained reliance of advanced tumors on ERα signaling, and provides a strong rationale for continued targeting of ERα. Here we describe GDC-0810, a novel, non-steroidal, orally bioavailable selective ER downregulator (SERD), which was identified by prospectively optimizing ERα degradation, antagonism and pharmacokinetic properties. GDC-0810 induces a distinct ERα conformation, relative to that induced by currently approved therapeutics, suggesting a unique mechanism of action. GDC-0810 has robust in vitro and in vivo activity against a variety of human breast cancer cell lines and patient derived xenografts, including a tamoxifen-resistant model and those that harbor ERα mutations. GDC-0810 is currently being evaluated in Phase II clinical studies in women with ER+ breast cancer. DOI: http://dx.doi.org/10.7554/eLife.15828.001 PMID:27410477

  15. Premenopausal Obesity and Breast Cancer Growth Rates in a Rodent Model.

    PubMed

    Matthews, Shawna B; McGinley, John N; Neil, Elizabeth S; Thompson, Henry J

    2016-04-11

    Obese premenopausal women with breast cancer have poorer prognosis for long term survival, in part because their tumors are larger at the time of diagnosis than are found in normal weight women. Whether larger tumor mass is due to obesity-related barriers to detection or to effects on tumor biology is not known. This study used polygenic models for obesity and breast cancer to deconstruct this question with the objective of determining whether cell autonomous mechanisms contribute to the link between obesity and breast cancer burden. Assessment of the growth rates of 259 chemically induced mammary carcinomas from rats sensitive to dietary induced obesity (DS) and of 143 carcinomas from rats resistant (DR) to dietary induced obesity revealed that tumors in DS rats grew 1.8 times faster than in DR rats. This difference may be attributed to alterations in cell cycle machinery that permit more rapid tumor cell accumulation. DS tumors displayed protein expression patterns consistent with reduced G1/S checkpoint inhibition and a higher threshold of factors required for execution of the apoptotic cell death pathway. These mechanistic insights identify regulatory targets for life style modifications or pharmacological interventions designed to disrupt the linkage between obesity and tumor burden.

  16. Bioorthogonal two-component drug delivery in HER2(+) breast cancer mouse models

    PubMed Central

    Hapuarachchige, Sudath; Kato, Yoshinori; Artemov, Dmitri

    2016-01-01

    The HER2 receptor is overexpressed in approximately 20% of breast cancers and is associated with tumorigenesis, metastasis, and a poor prognosis. Trastuzumab is a first-line targeted drug used against HER2(+) breast cancers; however, at least 50% of HER2(+) tumors develop resistance to trastuzumab. To treat these patients, trastuzumab-based antibody-drug conjugates (ACDs) have been developed and are currently used in the clinic. Despite their high efficacy, the long circulation half-life and non-specific binding of cytotoxic ADCs can result in systemic toxicity. In addition, standard ADCs do not provide an image-guided mode of administration. Here, we have developed a two-component, two-step, pre-targeting drug delivery system integrated with image guidance to circumvent these issues. In this strategy, HER2 receptors are pre-labeled with a functionalized trastuzumab antibody followed by the delivery of drug-loaded nanocarriers. Both components are cross-linked by multiple bioorthogonal click reactions in situ on the surface of the target cell and internalized as nanoclusters. We have explored the efficacy of this delivery strategy in HER2(+) human breast cancer models. Our therapeutic study confirms the high therapeutic efficacy of the new delivery system, with no significant toxicity. PMID:27068794

  17. A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis

    PubMed Central

    Wagenblast, Elvin; Soto, Mar; Gutiérrez-Ángel, Sara; Hartl, Christina A.; Gable, Annika L.; Maceli, Ashley R.; Erard, Nicolas; Williams, Alissa M.; Kim, Sun Y.; Dickopf, Steffen; Harrell, J. Chuck; Smith, Andrew D.; Perou, Charles M.; Wilkinson, John E.; Hannon, Gregory J.; Knott, Simon R. V.

    2015-01-01

    Cancer metastasis requires that primary tumour cells evolve the capacity to intravasate into the lymphatic system or vasculature, and extravasate into and colonize secondary sites1. Others have demonstrated that individual cells within complex populations show heterogeneity in their capacity to form secondary lesions2–5. Here we develop a polyclonal mouse model of breast tumour heterogeneity, and show that distinct clones within a mixed population display specialization, for example, dominating the primary tumour, contributing to metastatic populations, or showing tropism for entering the lymphatic or vasculature systems. We correlate these stable properties to distinct gene expression profiles. Those clones that efficiently enter the vasculature express two secreted proteins, Serpine2 and Slpi, which were necessary and sufficient to program these cells for vascular mimicry. Our data indicate that these proteins not only drive the formation of extra-vascular networks but also ensure their perfusion by acting as anticoagulants. We propose that vascular mimicry drives the ability of some breast tumour cells to contribute to distant metastases while simultaneously satisfying a critical need of the primary tumour to be fed by the vasculature. Enforced expression of SERPINE2 and SLPI in human breast cancer cell lines also programmed them for vascular mimicry, and SERPINE2 and SLPI were overexpressed preferentially in human patients that had lung-metastatic relapse. Thus, these two secreted proteins, and the phenotype they promote, may be broadly relevant as drivers of metastatic progression in human cancer. PMID:25855289

  18. Bioorthogonal two-component drug delivery in HER2(+) breast cancer mouse models.

    PubMed

    Hapuarachchige, Sudath; Kato, Yoshinori; Artemov, Dmitri

    2016-04-12

    The HER2 receptor is overexpressed in approximately 20% of breast cancers and is associated with tumorigenesis, metastasis, and a poor prognosis. Trastuzumab is a first-line targeted drug used against HER2(+) breast cancers; however, at least 50% of HER2(+) tumors develop resistance to trastuzumab. To treat these patients, trastuzumab-based antibody-drug conjugates (ACDs) have been developed and are currently used in the clinic. Despite their high efficacy, the long circulation half-life and non-specific binding of cytotoxic ADCs can result in systemic toxicity. In addition, standard ADCs do not provide an image-guided mode of administration. Here, we have developed a two-component, two-step, pre-targeting drug delivery system integrated with image guidance to circumvent these issues. In this strategy, HER2 receptors are pre-labeled with a functionalized trastuzumab antibody followed by the delivery of drug-loaded nanocarriers. Both components are cross-linked by multiple bioorthogonal click reactions in situ on the surface of the target cell and internalized as nanoclusters. We have explored the efficacy of this delivery strategy in HER2(+) human breast cancer models. Our therapeutic study confirms the high therapeutic efficacy of the new delivery system, with no significant toxicity.

  19. Bioorthogonal two-component drug delivery in HER2(+) breast cancer mouse models

    NASA Astrophysics Data System (ADS)

    Hapuarachchige, Sudath; Kato, Yoshinori; Artemov, Dmitri

    2016-04-01

    The HER2 receptor is overexpressed in approximately 20% of breast cancers and is associated with tumorigenesis, metastasis, and a poor prognosis. Trastuzumab is a first-line targeted drug used against HER2(+) breast cancers; however, at least 50% of HER2(+) tumors develop resistance to trastuzumab. To treat these patients, trastuzumab-based antibody-drug conjugates (ACDs) have been developed and are currently used in the clinic. Despite their high efficacy, the long circulation half-life and non-specific binding of cytotoxic ADCs can result in systemic toxicity. In addition, standard ADCs do not provide an image-guided mode of administration. Here, we have developed a two-component, two-step, pre-targeting drug delivery system integrated with image guidance to circumvent these issues. In this strategy, HER2 receptors are pre-labeled with a functionalized trastuzumab antibody followed by the delivery of drug-loaded nanocarriers. Both components are cross-linked by multiple bioorthogonal click reactions in situ on the surface of the target cell and internalized as nanoclusters. We have explored the efficacy of this delivery strategy in HER2(+) human breast cancer models. Our therapeutic study confirms the high therapeutic efficacy of the new delivery system, with no significant toxicity.

  20. A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis.

    PubMed

    Wagenblast, Elvin; Soto, Mar; Gutiérrez-Ángel, Sara; Hartl, Christina A; Gable, Annika L; Maceli, Ashley R; Erard, Nicolas; Williams, Alissa M; Kim, Sun Y; Dickopf, Steffen; Harrell, J Chuck; Smith, Andrew D; Perou, Charles M; Wilkinson, John E; Hannon, Gregory J; Knott, Simon R V

    2015-04-16

    Cancer metastasis requires that primary tumour cells evolve the capacity to intravasate into the lymphatic system or vasculature, and extravasate into and colonize secondary sites. Others have demonstrated that individual cells within complex populations show heterogeneity in their capacity to form secondary lesions. Here we develop a polyclonal mouse model of breast tumour heterogeneity, and show that distinct clones within a mixed population display specialization, for example, dominating the primary tumour, contributing to metastatic populations, or showing tropism for entering the lymphatic or vasculature systems. We correlate these stable properties to distinct gene expression profiles. Those clones that efficiently enter the vasculature express two secreted proteins, Serpine2 and Slpi, which were necessary and sufficient to program these cells for vascular mimicry. Our data indicate that these proteins not only drive the formation of extravascular networks but also ensure their perfusion by acting as anticoagulants. We propose that vascular mimicry drives the ability of some breast tumour cells to contribute to distant metastases while simultaneously satisfying a critical need of the primary tumour to be fed by the vasculature. Enforced expression of SERPINE2 and SLPI in human breast cancer cell lines also programmed them for vascular mimicry, and SERPINE2 and SLPI were overexpressed preferentially in human patients that had lung-metastatic relapse. Thus, these two secreted proteins, and the phenotype they promote, may be broadly relevant as drivers of metastatic progression in human cancer.

  1. The Neoadjuvant Model Is Still the Future for Drug Development in Breast Cancer.

    PubMed

    DeMichele, Angela; Yee, Douglas; Berry, Donald A; Albain, Kathy S; Benz, Christopher C; Boughey, Judy; Buxton, Meredith; Chia, Stephen K; Chien, Amy J; Chui, Stephen Y; Clark, Amy; Edmiston, Kirsten; Elias, Anthony D; Forero-Torres, Andres; Haddad, Tufia C; Haley, Barbara; Haluska, Paul; Hylton, Nola M; Isaacs, Claudine; Kaplan, Henry; Korde, Larissa; Leyland-Jones, Brian; Liu, Minetta C; Melisko, Michelle; Minton, Susan E; Moulder, Stacy L; Nanda, Rita; Olopade, Olufunmilayo I; Paoloni, Melissa; Park, John W; Parker, Barbara A; Perlmutter, Jane; Petricoin, Emanuel F; Rugo, Hope; Symmans, Fraser; Tripathy, Debasish; van't Veer, Laura J; Viscusi, Rebecca K; Wallace, Anne; Wolf, Denise; Yau, Christina; Esserman, Laura J

    2015-07-01

    The many improvements in breast cancer therapy in recent years have so lowered rates of recurrence that it is now difficult or impossible to conduct adequately powered adjuvant clinical trials. Given the many new drugs and potential synergistic combinations, the neoadjuvant approach has been used to test benefit of drug combinations in clinical trials of primary breast cancer. A recent FDA-led meta-analysis showed that pathologic complete response (pCR) predicts disease-free survival (DFS) within patients who have specific breast cancer subtypes. This meta-analysis motivated the FDA's draft guidance for using pCR as a surrogate endpoint in accelerated drug approval. Using pCR as a registration endpoint was challenged at ASCO 2014 Annual Meeting with the presentation of ALTTO, an adjuvant trial in HER2-positive breast cancer that showed a nonsignificant reduction in DFS hazard rate for adding lapatinib, a HER-family tyrosine kinase inhibitor, to trastuzumab and chemotherapy. This conclusion seemed to be inconsistent with the results of NeoALTTO, a neoadjuvant trial that found a statistical improvement in pCR rate for the identical lapatinib-containing regimen. We address differences in the two trials that may account for discordant conclusions. However, we use the FDA meta-analysis to show that there is no discordance at all between the observed pCR difference in NeoALTTO and the observed HR in ALTTO. This underscores the importance of appropriately modeling the two endpoints when designing clinical trials. The I-SPY 2/3 neoadjuvant trials exemplify this approach.

  2. The Efficacy of Trastuzumab in Animal Models of Breast Cancer: A Systematic Review and Meta-Analysis

    PubMed Central

    Chen, Jiarong; Yang, Canhong; Guo, Bin; Sena, Emily S.; Macleod, Malcolm R.; Yuan, Yawei; Hirst, Theodore C.

    2016-01-01

    Background Breast cancer is the most frequent cancers and is the second leading cause of cancer death among women. Trastuzumab is an effective treatment, the first monoclonal antibody directed against the human epidermal growth factor receptor 2 (HER2). To inform the development of other effective treatments we report summary estimates of efficacy of trastuzumab on survival and tumour volume in animal models of breast cancer. Methods We searched PubMed and EMBASE systematically to identify publications testing trastuzumab in animal models of breast cancer. Data describing tumour volume, median survival and animal features were extracted and we assessed quality using a 12-item checklist. We analysed the impact of study design and quality and evidence for publication bias. Results We included data from 83 studies reporting 169 experiments using 2076 mice. Trastuzumab treatment caused a substantial reduction in tumour growth, with tumours in treated animals growing to 32.6% of the volume of tumours in control animals (95%CI 27.8%-38.2%). Median survival was prolonged by a factor of 1.45 (1.30–1.62). Many study design and quality features accounted for between-study heterogeneity and we found evidence suggesting publication bias. Conclusion We have found trastuzumab to be effective in animal breast cancer models across a range of experimental circumstances. However the presence of publication bias and a low prevalence of measures to reduce bias provide a focus for future improvements in preclinical breast cancer research. PMID:27463246

  3. Pregnancy associated breast cancer and pregnancy after breast cancer treatment.

    PubMed

    Doğer, Emek; Calışkan, Eray; Mallmann, Peter

    2011-01-01

    Breast cancer is one of the most common cancers diagnosed during pregnancy and its frequency is increasing as more women postpone their pregnancies to their thirties and forties. Breast cancer diagnosis during pregnancy and lactation is difficult and complex both for the patient and doctors. Delay in diagnosis is frequent and treatment modalities are difficult to accept for the pregnant women. The common treatment approach is surgery after diagnosis, chemotherapy after the first trimester and radiotherapy after delivery. Even though early stage breast cancers have similar prognosis, advanced stage breast cancers diagnosed during pregnancy and lactation have poorer prognosis than similar stage breast cancers diagnosed in non-pregnant women. Women who desire to become pregnant after treatment of breast cancer will have many conflicts. Although the most common concern is recurrence of breast cancer due to pregnancy, the studies conducted showed that pregnancy has no negative effect on breast cancer prognosis. In this review we search for the frequency of breast cancer during pregnancy, the histopathological findings, risk factor, diagnostic and treatment modalities. We reviewed the literature for evidence based findings to help consult the patients on the outcome of breast cancer diagnosed during pregnancy and lactation, and also inform the patients who desire to become pregnant after breast cancer according to current evidences.

  4. Aromatase and breast cancer.

    PubMed

    Brodie, A; Sabnis, G; Jelovac, D

    2006-12-01

    Several aromatase inhibitors and also new antiestrogens are now available for treating breast cancer. We have developed a model to compare the antitumor efficacy of these agents and to explore strategies for their optimal use. Results from the model have been predictive of clinical outcome. In this model, tumors are grown in ovariectomized, immunodeficient mice from MCF-7 human breast cancer cells transfected with the aromatase gene (MCF-7Ca). The possibility that blockade of estrogen action and estrogen synthesis may be synergistic was explored by treating mice with the aromatase inhibitor letrozole and the antiestrogen tamoxifen alone and in combination. The results indicated that letrozole alone was better than all other treatments. In addition, when tamoxifen treatment was no longer effective, tumor growth was significantly reduced in mice switched to letrozole treatment. However, tumors ultimately began to grow during continued treatment. To investigate the mechanisms by which tumors eventually adapt and grow during letrozole treatment, we determined the expression of signaling proteins in tumors during the course of letrozole treatment compared to the tumors of control mice. Tumors initially up-regulated the ER while responding to treatment, but subsequently receptor levels decreased in tumors unresponsive to letrozole. Also, Her-2 and adapter proteins (p-Shc and Grb-2) as well as all of the signaling proteins in the MAPK cascade (p-Raf, p-Mekl/2, and p-MAPK), but not in the Pl3/Akt pathway, were increased in tumors no longer responsive to letrozole. To investigate whether sensitivity to letrozole could be regained, cells were isolated from the letrozole resistant tumors (LTLT) and treated with inhibitors of the MAPKinase pathway (PD98059 and UO126). These compounds reduced MAPK activity and increased ER expression. EGFR/Her-2 inhibitors, gefitinib and AEE78S although not effective in the parental MCF-70a cells, restored the sensitivity of LTLT cells to

  5. Adolescent meat intake and breast cancer risk

    PubMed Central

    Farvid, Maryam S; Cho, Eunyoung; Chen, Wendy Y; Eliassen, A. Heather; Willett, Walter C

    2015-01-01

    The breast is particularly vulnerable to carcinogenic influences during adolescence due to rapid proliferation of mammary cells and lack of terminal differentiation. We investigated consumption of adolescent red meat and other protein sources in relation to breast cancer risk in the Nurses' Health Study II cohort. We followed prospectively 44,231 women aged 33-52 years who, in 1998, completed a detailed questionnaire about diet during adolescence. Relative risks (RR) and 95% confidence intervals (95%CI) were estimated using Cox proportional hazard regression. We documented 1132 breast cancer cases during 13-year follow-up. In multivariable Cox regression models with major breast cancer risk factors adjustment, greater consumption of adolescent total red meat was significantly associated with higher premenopausal breast cancer risk (highest vs lowest quintiles, RR, 1.42; 95%CI, 1.05-1.94; Ptrend=0.007), but not postmenopausal breast cancer. Adolescent poultry intake was associated with lower risk of breast cancer overall (RR, 0.75; 95%CI, 0.59-0.96; for each serving/day). Adolescent intakes of iron, heme iron, fish, eggs, legumes and nuts were not associated with breast cancer. Replacement of one serving/day of total red meat with one serving of combination of poultry, fish, legumes, and nuts was associated with a 16% lower risk of breast cancer overall (RR, 0.84; 95%CI, 0.74-0.96) and a 24% lower risk of premenopausal breast cancer (RR, 0.76; 95%CI, 0.64-0.92). Higher consumption of red meat during adolescence was associated with premenopausal breast cancer. Substituting other dietary protein sources for red meat in adolescent diet may decrease premenopausal breast cancer risk. PMID:25220168

  6. Immunization of stromal cell targeting fibroblast activation protein providing immunotherapy to breast cancer mouse model.

    PubMed

    Meng, Mingyao; Wang, Wenju; Yan, Jun; Tan, Jing; Liao, Liwei; Shi, Jianlin; Wei, Chuanyu; Xie, Yanhua; Jin, Xingfang; Yang, Li; Jin, Qing; Zhu, Huirong; Tan, Weiwei; Yang, Fang; Hou, Zongliu

    2016-08-01

    Unlike heterogeneous tumor cells, cancer-associated fibroblasts (CAF) are genetically more stable which serve as a reliable target for tumor immunotherapy. Fibroblast activation protein (FAP) which is restrictively expressed in tumor cells and CAF in vivo and plays a prominent role in tumor initiation, progression, and metastasis can function as a tumor rejection antigen. In the current study, we have constructed artificial FAP(+) stromal cells which mimicked the FAP(+) CAF in vivo. We immunized a breast cancer mouse model with FAP(+) stromal cells to perform immunotherapy against FAP(+) cells in the tumor microenvironment. By forced expression of FAP, we have obtained FAP(+) stromal cells whose phenotype was CD11b(+)/CD34(+)/Sca-1(+)/FSP-1(+)/MHC class I(+). Interestingly, proliferation capacity of the fibroblasts was significantly enhanced by FAP. In the breast cancer-bearing mouse model, vaccination with FAP(+) stromal cells has significantly inhibited the growth of allograft tumor and reduced lung metastasis indeed. Depletion of T cell assays has suggested that both CD4(+) and CD8(+) T cells were involved in the tumor cytotoxic immune response. Furthermore, tumor tissue from FAP-immunized mice revealed that targeting FAP(+) CAF has induced apoptosis and decreased collagen type I and CD31 expression in the tumor microenvironment. These results implicated that immunization with FAP(+) stromal cells led to the disruption of the tumor microenvironment. Our study may provide a novel strategy for immunotherapy of a broad range of cancer.

  7. Increasing Breast Cancer Surveillance Among African American Breast Cancer Survivors

    DTIC Science & Technology

    2010-01-01

    one or both breasts were affected. Family Member (e.g. grandmother, aunt) Paternal or Maternal Type or Location of Cancer (e.g. breast...breast cancer who previously participated in an ongoing parent project and are at least 3 months post-treatment. Participants were to be assigned to... parent study also awaiting approval (“Behavior, Estrogen Metabolism, and Breast Cancer Risk: A Molecular Epidemiologic Study” HSRRB Log Number A

  8. Modelling breast cancer requires identification and correction of a critical cell lineage-dependent transduction bias

    DOE PAGES

    Hines, William C.; Yaswen, Paul; Bissell, Mina J.

    2015-04-21

    When trying to explore the biology and etiology of human cancers, clinically relevant human culture models are essential. Current breast tumour models, such as those from oncogenically transformed primary breast cells, produce predominantly basal-like properties, whereas the more common phenotype expressed by the vast majority of breast tumours are luminal. Reasons for this puzzling, yet important phenomenon, are not understood. We show here that luminal epithelial cells are significantly more resistant to viral transduction than their myoepithelial counterparts. Here, we suggest that this is a significant barrier to generating luminal cell lines and experimental tumours in vivo and to accuratemore » interpretation of results. We show that the resistance is due to lower affinity of luminal cells for virus attachment, which can be overcome by pretreating cells—or virus—with neuraminidase. We present an analytical method for quantifying transductional differences between cell types and an optimized protocol for transducing unsorted primary human breast cells in context.« less

  9. Proteome and Transcriptome Profiles of a Her2/Neu-driven Mouse Model of Breast Cancer

    SciTech Connect

    Schoenherr, Regine M.; Kelly-Spratt, Karen S.; Lin, Chen Wei; Whiteaker, Jeffrey R.; Liu, Tao; Holzman, Ted; Coleman, Ilsa; Feng, Li-Chia; Lorentzen, Travis D.; Krasnoselsky, Alexei L.; Wang, Pei; Liu, Yan; Gurley, Kay E.; Amon, Lynn M.; Schepmoes, Athena A.; Moore, Ronald J.; Camp, David G.; Chodosh, Lewis A.; Smith, Richard D.; Nelson, Peter S.; McIntosh, Martin; Kemp, Christopher; Paulovich, Amanda G.

    2011-04-01

    In recent years, mouse models have proven to be invaluable in expanding our understanding of cancer biology. We have amassed a tremendous amount of proteomics and transcriptomics data profiling blood and tissues from a Her2-driven mouse model of breast cancer that closely recapitulates the pathology and natural history of human breast cancer. The purpose of this report is to make all of these data publicly available in raw and processed forms, as a resource to the community. Importantly, high quality biospecimens from this same mouse model are freely available through a sample repository that we established, so researchers can readily obtain samples to test biological hypotheses without the need of breeding animals and collecting biospecimens. Specifically, six proteomics and six transcriptomics datasets are available, with the former encompassing 841 liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments of both plasma and tissue samples, and the latter including 255 individual microarray analyses of five different tissue types (thymus, spleen, liver, blood cells, and breast ± laser capture microdissection). A total of 18,880 unique peptides were identified with a PeptideProphet error rate ≤1%, with 3884 non-redundant protein groups identified in five plasma datasets, and 1659 non-redundant protein groups in a tissue dataset (4977 non-redundant protein groups in total). We anticipate that these data will be of use to the community for software tool development, investigations of analytical variation in MS/MS data, development of quality control tools (multiple technical replicates are provided for a subset of the data), empirical selection of proteotypic peptides for multiple reaction monitoring mass spectrometry, and for advancing our understanding of cancer biology.

  10. Diet and breast cancer.

    PubMed

    Bradlow, H Leon; Sepkovic, Daniel W

    2002-06-01

    The preponderance of evidence suggests a role for fat and alcohol as risk factors for breast cancer. The role of milk is more controversial with some studies suggesting that milk is a risk factor and others that consumption of milk is protective against breast cancer. No other major nutrient appears to play a significant role in increasing breast cancer risk. On the other hand, there is increasing evidence that a variety of micronutrients and hormones appear to have significant anticancer activity. These range from steroids such as dehydroepiandrosterone (DHEA) and its analysis to indoles, isothiocyanates, and isoflavone derivatives. These compounds act directly by interfering with cyclins and promoting apoptosis as well as indirectly by altering estrogen metabolism in a favorable direction. These effects are not merely theoretical actions in cell culture and tissue explants; they have been demonstrated in human patients as a range of studies have demonstrated.

  11. Screening and analysis of breast cancer genes regulated by the human mammary microenvironment in a humanized mouse model

    PubMed Central

    Zheng, Mingjie; Wang, Jue; Ling, Lijun; Xue, Dandan; Wang, Shui; Zhao, Yi

    2016-01-01

    Tumor microenvironments play critical regulatory roles in tumor growth. Although mouse cancer models have contributed to the understanding of human tumor biology, the effectiveness of mouse cancer models is limited by the inability of the models to accurately present humanized tumor microenvironments. Previously, a humanized breast cancer model in severe combined immunodeficiency mice was established, in which human breast cancer tissue was implanted subcutaneously, followed by injection of human breast cancer cells. It was demonstrated that breast cancer cells showed improved growth in the human mammary microenvironment compared with a conventional subcutaneous mouse model. In the present study, the novel mouse model and microarray technology was used to analyze changes in the expression of genes in breast cancer cells that are regulated by the human mammary microenvironment. Humanized breast and conventional subcutaneous mouse models were established, and orthotopic tumor cells were obtained from orthotopic tumor masses by primary culture. An expression microarray using Illumina HumanHT-12 v4 Expression BeadChip and database analyses were performed to investigate changes in gene expression between tumors from each microenvironment. A total of 94 genes were differentially expressed between the primary cells cultured from the humanized and conventional mouse models. Significant upregulation of genes that promote cell proliferation and metastasis or inhibit apoptosis, such as SH3-domain binding protein 5 (BTK-associated), sodium/chloride cotransporter 3 and periostin, osteoblast specific factor, and genes that promote angiogenesis, such as KIAA1618, was also noted. Other genes that restrain cell proliferation and accelerate cell apoptosis, including tripartite motif containing TRIM36 and NES1, were downregulated. The present results revealed differences in various aspects of tumor growth and metabolism between the two model groups and indicated the functional

  12. Virtual Weight Loss Program in Maintaining Weight in African American Breast Cancer Survivors

    ClinicalTrials.gov

    2017-01-19

    Cancer Survivor; Invasive Breast Carcinoma; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  13. Two Models of Caregiver Strain and Bereavement Adjustment: A Comparison of Husband and Daughter Caregivers of Breast Cancer Hospice Patients

    ERIC Educational Resources Information Center

    Bernard, Lori L.; Guarnaccia, Charles A.

    2003-01-01

    Purpose: Caregiver bereavement adjustment literature suggests opposite models of impact of role strain on bereavement adjustment after care-recipient death--a Complicated Grief Model and a Relief Model. This study tests these competing models for husband and adult-daughter caregivers of breast cancer hospice patients. Design and Methods: This…

  14. Carcinogen metabolism, cigarette smoking, and breast cancer risk: a Bayes model averaging approach

    PubMed Central

    2010-01-01

    Background Standard logistic regression with or without stepwise selection has the disadvantage of not incorporating model uncertainty and the dependency of estimates on the underlying model into the final inference. We explore the use of a Bayes Model Averaging approach as an alternative to analyze the influence of genetic variants, environmental effects and their interactions on disease. Methods Logistic regression with and without stepwise selection and Bayes Model Averaging were applied to a population-based case-control study exploring the association of genetic variants in tobacco smoke-related carcinogen pathways with breast cancer. Results Both regression and Bayes Model Averaging highlighted a significant effect of NAT1*10 on breast cancer, while regression analysis also suggested a significant effect for packyears and for the interaction of packyears and NAT2. Conclusions Bayes Model Averaging allows incorporation of model uncertainty, helps reduce dimensionality and avoids the problem of multiple comparisons. It can be used to incorporate biological information, such as pathway data, into the analysis. As with all Bayesian analysis methods, careful consideration must be given to prior specification. PMID:21080951

  15. A Model for Breast Cancer-Induced Angiogenesis

    DTIC Science & Technology

    1997-09-01

    524, 1990. 17. Terman BI, Carrion ME, Kovacs E, Rasmussen BA, Eddy RL, Shows TB. Identification of a new endothelial cell growth factor receptor...tetradecanoyl-phorbol-13-acetate on adhesiveness and lung-colonizing ability of Lewis lung carcinoma cells. Cancer Res 46:375-380. iV61 Tamaoki T, Nomoto H

  16. Accelerated Radiation Therapy After Surgery in Treating Patients With Breast Cancer

    ClinicalTrials.gov

    2017-01-20

    Inflammatory Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Tubular Ductal Breast Carcinoma

  17. Abortion, Miscarriage, and Breast Cancer Risk

    MedlinePlus

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Abortion, Miscarriage, and Breast Cancer Risk: 2003 Workshop In ... cancer risk, including studies of induced and spontaneous abortions. They concluded that having an abortion or miscarriage ...

  18. Inflammatory Breast Cancer from Metastatic Ovarian Cancer

    PubMed Central

    Achariyapota, Vuthinun; Chuangsuwanich, Tuenjai

    2016-01-01

    Metastases to the breast from tumors other than breast carcinomas are extremely rare and represent only 0.2–1.3% of all diagnosed malignant breast tumors. Furthermore, while the most common sites for advanced ovarian cancer metastases are the liver, lung, and pleura, metastasis to the breast from a primary ovarian cancer is uncommon and has only been reported in 0.03–0.6% of all breast cancers. Here we describe a case report of a 50-year-old female patient with a rare case of breast metastases from an advanced ovarian cancer, presenting as inflammatory breast cancer. Our observations emphasize the clinical importance of distinguishing between primary and metastatic breast cancer during diagnosis for the purpose of appropriate prognosis and treatment. PMID:27047697

  19. Color model comparative analysis for breast cancer diagnosis using H and E stained images

    NASA Astrophysics Data System (ADS)

    Li, Xingyu; Plataniotis, Konstantinos N.

    2015-03-01

    Digital cancer diagnosis is a research realm where signal processing techniques are used to analyze and to classify color histopathology images. Different from grayscale image analysis of magnetic resonance imaging or X-ray, colors in histopathology images convey large amount of histological information and thus play significant role in cancer diagnosis. Though color information is widely used in histopathology works, as today, there is few study on color model selections for feature extraction in cancer diagnosis schemes. This paper addresses the problem of color space selection for digital cancer classification using H and E stained images, and investigates the effectiveness of various color models (RGB, HSV, CIE L*a*b*, and stain-dependent H and E decomposition model) in breast cancer diagnosis. Particularly, we build a diagnosis framework as a comparison benchmark and take specific concerns of medical decision systems into account in evaluation. The evaluation methodologies include feature discriminate power evaluation and final diagnosis performance comparison. Experimentation on a publicly accessible histopathology image set suggests that the H and E decomposition model outperforms other assessed color spaces. For reasons behind various performance of color spaces, our analysis via mutual information estimation demonstrates that color components in the H and E model are less dependent, and thus most feature discriminate power is collected in one channel instead of spreading out among channels in other color spaces.

  20. IMP1, an mRNA binding protein that reduces the metastatic potential of breast cancer in a mouse model

    PubMed Central

    Nwokafor, Chiso U.; Sellers, Rani S.; Singer, Robert H.

    2016-01-01

    Cells that are able to localize β-actin mRNA efficiently have decreased metastatic potential. Invasive carcinoma cells derived from primary mammary tumors have reduced levels of an RNA binding protein IMP1/ZBP1/IGF2BP1, required for β-actin mRNA localization. We showed previously that in human breast carcinoma cells in vitro, this protein suppresses invasion. In this work we examined whether its re-expression can suppress breast cancer metastasis in a breast cancer mouse model. We developed a mouse conditionally expressing IMP1-GFP (hereinafter referred to as the IMP1 transgene) specifically in the mammary gland of a PYMT breast cancer mouse. We found that mice conditionally expressing the IMP1 transgene showed little or no metastases to the lungs from the primary tumor in contrast to PYMT mice not expressing IMP1, which uniformly develop metastases at an early stage. PMID:27655671

  1. Hyperinsulinemia Promotes Metastasis to the Lung in a Mouse Model of Her2-mediated Breast Cancer

    PubMed Central

    Ferguson, Rosalyn; Gallagher, Emily; Cohen, Dara; Tobin-Hess, Aviva; Alikhani, Nyosha; Novosyadlyy, Ruslan; Haddad, Nadine; Yakar, Shoshana; LeRoith, Derek

    2014-01-01

    The Her2 oncogene is expressed in approximately 25% of human breast cancers and is associated with metastatic progression and poor outcome. Epidemiological studies report that breast cancer incidence and mortality rates are higher in women with type 2 diabetes. Here we use a mouse model of Her2-mediated breast cancer on a background of hyperinsulinemia to determine how elevated circulating insulin levels affect Her2-mediated primary tumor growth and lung metastasis. Hyperinsulinemic (MKR+/+) mice were crossed with doxycycline-inducible NeuNT (MTB/TAN) mice to produce the MTB/TAN/MKR+/+ mouse model. Both MTB/TAN and MTB/TAN/MKR+/+ mice were administered doxycycline in drinking water to induce NeuNT mammary tumor formation. In tumor tissues removed at two, four and six weeks of Neu-NT overexpression, we observed increased tumor mass and higher phosphorylation of the insulin receptor (IR)/insulin-like growth factor receptor 1 (IGF-1R), suggesting that activation of these receptors in conditions of hyperinsulinemia could contribute to the increased growth of mammary tumors. After 12 weeks on doxycycline, although no significant further increase in tumor weight was observed in MTB/TAN/MKR+/+ compared to MTB/TAN mice, the number of lung metastases was significantly higher in MTB/TAN/MKR+/+ mice compared to controls (MTB/TAN/MKR+/+ 16.41 ± 4.18 vs. MTB/TAN 5.36 ± 2.72). In tumors at the six week time-point, we observed an increase in vimentin, a cytoskeletal protein and marker of mesenchymal cells, associated with epithelial-to-mesenchymal transition and cancer associated fibroblasts. We conclude that hyperinsulinemia in MTB/TAN/MKR+/+ mice resulted in larger primary tumors, with more mesenchymal cells and therefore, more aggressive tumors with more numerous pulmonary metastases. PMID:23572162

  2. Photodynamic therapy as an effective therapeutic approach in MAME models of inflammatory breast cancer.

    PubMed

    Aggarwal, Neha; Santiago, Ann Marie; Kessel, David; Sloane, Bonnie F

    2015-11-01

    Photodynamic therapy (PDT) is a minimally invasive, FDA-approved therapy for treatment of endobronchial and esophageal cancers that are accessible to light. Inflammatory breast cancer (IBC) is an aggressive and highly metastatic form of breast cancer that spreads to dermal lymphatics, a site that would be accessible to light. IBC patients have a relatively poor survival rate due to lack of targeted therapies. The use of PDT is underexplored for breast cancers but has been proposed for treatment of subtypes for which a targeted therapy is unavailable. We optimized and used a 3D mammary architecture and microenvironment engineering (MAME) model of IBC to examine the effects of PDT using two treatment protocols. The first protocol used benzoporphyrin derivative monoacid A (BPD) activated at doses ranging from 45 to 540 mJ/cm(2). The second PDT protocol used two photosensitizers: mono-L-aspartyl chlorin e6 (NPe6) and BPD that were sequentially activated. Photokilling by PDT was assessed by live-dead assays. Using a MAME model of IBC, we have shown a significant dose-response in photokilling by BPD-PDT. Sequential activation of NPe6 followed by BPD is more effective in photokilling of tumor cells than BPD alone. Sequential activation at light doses of 45 mJ/cm(2) for each agent resulted in >90 % cell death, a response only achieved by BPD-PDT at a dose of 360 mJ/cm(2). Our data also show that effects of PDT on a volumetric measurement of 3D MAME structures reflect efficacy of PDT treatment. Our study is the first to demonstrate the potential of PDT for treating IBC.

  3. Photodynamic therapy as an effective therapeutic approach in MAME models of inflammatory breast cancer

    PubMed Central

    Santiago, Ann Marie; Kessel, David; Sloane, Bonnie F.

    2016-01-01

    Photodynamic therapy (PDT) is a minimally invasive, FDA-approved therapy for treatment of endobronchial and esophageal cancers that are accessible to light. Inflammatory breast cancer (IBC) is an aggressive and highly metastatic form of breast cancer that spreads to dermal lymphatics, a site that would be accessible to light. IBC patients have a relatively poor survival rate due to lack of targeted therapies. The use of PDT is underexplored for breast cancers but has been proposed for treatment of subtypes for which a targeted therapy is unavailable. We optimized and used a 3D mammary architecture and microenvironment engineering (MAME) model of IBC to examine the effects of PDT using two treatment protocols. The first protocol used benzoporphyrin derivative monoacid A (BPD) activated at doses ranging from 45 to 540 mJ/cm2. The second PDT protocol used two photosensitizers: mono-l-aspartyl chlorin e6 (NPe6) and BPD that were sequentially activated. Photokilling by PDT was assessed by live–dead assays. Using a MAME model of IBC, we have shown a significant dose–response in photokilling by BPD–PDT. Sequential activation of NPe6 followed by BPD is more effective in photokilling of tumor cells than BPD alone. Sequential activation at light doses of 45 mJ/cm2 for each agent resulted in >90 % cell death, a response only achieved by BPD–PDT at a dose of 360 mJ/cm2. Our data also show that effects of PDT on a volumetric measurement of 3D MAME structures reflect efficacy of PDT treatment. Our study is the first to demonstrate the potential of PDT for treating IBC. PMID:26502410

  4. Early detection of breast cancer.

    PubMed

    Nettles-Carlson, B

    1989-01-01

    Timely, comprehensive screening for breast cancer is a major, though often overlooked, component of primary health care for women. This article reviews the scientific rationale for screening and outlines the current recommendations of the American Cancer Society and the U.S. Preventive Services Task Force regarding the use of mammography, clinical breast examination (CBE), and breast self-examination (BSE). Nursing interventions to decrease barriers to effective screening are discussed, and an expanded role of nurses in breast cancer screening is proposed.

  5. Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study

    PubMed Central

    Siow, Bernard; Panagiotaki, Eleftheria; Hipwell, John H.; Mertzanidou, Thomy; Owen, Julie; Gazinska, Patrycja; Pinder, Sarah E.; Alexander, Daniel C.; Hawkes, David J.

    2016-01-01

    The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin‐fixed breast cancer samples were scanned using a wide range of gradient strengths, durations, separations and orientations. A variety of one‐ and two‐compartment models were tested to determine which best described the data. Models with restricted diffusion components and anisotropy were selected in most cancerous regions and there were no regions in which conventional ADC or DT models were selected. Maps of ADC generally related to cellularity on histology, but maps of parameters from more complex models suggest that both overall cell volume fraction and individual cell size can contribute to the diffusion signal, affecting the specificity of ADC to the tissue microstructure. The areas of coherence in diffusion anisotropy images were small, approximately 1 mm, but the orientation corresponded to stromal orientation patterns on histology. PMID:28000292

  6. Breast cancer epidemiology.

    PubMed

    Kelsey, J L; Berkowitz, G S

    1988-10-15

    The various risk factors for breast cancer have been recognized for many years. A table lists these established breast cancer risk factors together with the approximate magnitude of the increase in risk associated with them. Breast cancer incidence rates increase with age throughout the life span in Western countries, although the rate of increase is greater up to age 50 years than after 50 years. Breast cancer is more common among women in upper rather than lower social classes, among women who never have been married, among women living in urban areas, among women living in the northern US than in the southern US, and among whites than blacks, at least among those over age 50. Women in North American and Northern European countries have the highest risk for breast cancer, women in Southern European and Latin American countries are at intermediate risk, and women in Africa and Asian countries have the lowest risk. Yet, rapid rates of increase in incident rates have been noted in recent years in many Asian, Central European, and some South American countries. The later the age at which a woman has her 1st full-term pregnancy, the higher her risk for breast cancer; the earlier the age at menarche and the later the age at menopause the higher the risk; and among women who have a premenopausal oophorectomy, the earlier the age at which this occurs the lower the risk. Among postmenopausal women, obesity is associated with an increase in risk. Lactation is negatively associated with subsequent breast cancer risk. Some current research is considering potential risk factors that have not been well studied in the past, including alcohol consumption, cigarette smoking, caffeine consumption, exposure to diethylstilbestrol (DES), emotional stress, exposure to electric power, and lack of physical activity. Other areas of current research reviewed here include radiation, mammographic parenchymal patterns, a high-fat diet, use of oral contraceptives (OCs), use of estrogen

  7. High and low frequency subharmonic imaging of angiogenesis in a murine breast cancer model.

    PubMed

    Dahibawkar, Manasi; Forsberg, Mark A; Gupta, Aditi; Jaffe, Samantha; Dulin, Kelly; Eisenbrey, John R; Halldorsdottir, Valgerdur G; Forsberg, Anya I; Dave, Jaydev K; Marshall, Andrew; Machado, Priscilla; Fox, Traci B; Liu, Ji-Bin; Forsberg, Flemming

    2015-09-01

    This project compared quantifiable measures of tumor vascularity obtained from contrast-enhanced high frequency (HF) and low frequency (LF) subharmonic ultrasound imaging (SHI) to 3 immunohistochemical markers of angiogenesis in a murine breast cancer model (since angiogenesis is an important marker of malignancy and the target of many novel cancer treatments). Nineteen athymic, nude, female rats were implanted with 5×10(6) breast cancer cells (MDA-MB-231) in the mammary fat pad. The contrast agent Definity (Lantheus Medical Imaging, N Billerica, MA) was injected in a tail vein (dose: 180μl/kg) and LF pulse-inversion SHI was performed with a modified Sonix RP scanner (Analogic Ultrasound, Richmond, BC, Canada) using a L9-4 linear array (transmitting/receiving at 8/4MHz in SHI mode) followed by HF imaging with a Vevo 2100 scanner (Visualsonics, Toronto, ON, Canada) using a MS250 linear array transmitting and receiving at 24MHz. The radiofrequency data was filtered using a 4th order IIR Butterworth bandpass filter (11-13MHz) to isolate the subharmonic signal. After the experiments, specimens were stained for endothelial cells (CD31), vascular endothelial growth factor (VEGF) and cyclooxygenase-2 (COX-2). Fractional tumor vascularity was calculated as contrast-enhanced pixels over all tumor pixels for SHI, while the relative area stained over total tumor area was calculated from specimens. Results were compared using linear regression analysis. Out of 19 rats, 16 showed tumor growth (84%) and 11 of them were successfully imaged. HF SHI demonstrated better resolution, but weaker signals than LF SHI (0.06±0.017 vs. 0.39±0.059; p<0.001). The strongest overall correlation in this breast cancer model was between HF SHI and VEGF (r=-0.38; p=0.03). In conclusion, quantifiable measures of tumor neovascularity derived from contrast-enhanced HF SHI appear to be a better method than LF SHI for monitoring angiogenesis in a murine xenograft model of breast cancer

  8. High and low frequency subharmonic imaging of angiogenesis in a murine breast cancer model

    PubMed Central

    Dahibawkar, Manasi; Forsberg, Mark A.; Gupta, Aditi; Jaffe, Samantha; Dulin, Kelly; Eisenbrey, John R.; Halldorsdottir, Valgerdur G.; Forsberg, Anya I.; Dave, Jaydev K.; Marshall, Andrew; Machado, Priscilla; Fox, Traci B.; Liu, Ji-Bin; Forsberg, Flemming

    2015-01-01

    This project compared quantifiable measures of tumor vascularity obtained from contrast-enhanced high frequency (HF) and low frequency (LF) subharmonic ultrasound imaging (SHI) to 3 immunohistochemical markers of angiogenesis in a murine breast cancer model (since angiogenesis is an important marker of malignancy and the target of many novel cancer treatments). Nineteen athymic, nude, female rats were implanted with 5×106 breast cancer cells (MDA-MB-231) in the mammary fat pad. The contrast agent Definity (Lantheus Medical Imaging, N Billerica, MA) was injected in a tail vein (dose: 180µl/kg) and low frequency pulse-inversion SHI was performed with a modified Sonix RP scanner (Analogic Ultrasound, Richmond, BC, Canada) using a L9-4 linear array (transmitting/receiving at 8/4MHz in SHI mode) followed by high frequency imaging with a Vevo 2100 scanner (Visualsonics, Toronto, ON, Canada) using a MS250 linear array transmitting and receiving at 24MHz. The radiofrequency data was filtered using a 4th order IIR Butterworth bandpass filter (11–13MHz) to isolate the subharmonic signal. After the experiments, specimens were stained for endothelial cells (CD31), vascular endothelial growth factor (VEGF) and cyclooxygenase-2 (COX-2). Fractional tumor vascularity was calculated as contrast enhanced pixels over all tumor pixels for SHI, while the relative area stained over total tumor area was calculated from specimens. Results were compared using linear regression analysis. Out of 19 rats, 16 showed tumor growth (84%) and 11 of them were successfully imaged. HF SHI demonstrated better resolution, but weaker signals than LF SHI (0.06±0.017 vs. 0.39±0.059; p<0.001). The strongest overall correlation in this breast cancer model was between HF SHI and VEGF (r=−0.38; p=0.03). In conclusion, quantifiable measures of tumor neovascularity derived from contrast-enhanced HF SHI appear to be a better method than LF SHI for monitoring angiogenesis in a murine xenograft model of

  9. Pertuzumab, Trastuzumab, and Paclitaxel Albumin-Stabilized Nanoparticle Formulation in Treating Patients With HER2-Positive Advanced Breast Cancer

    ClinicalTrials.gov

    2016-12-23

    HER2-positive Breast Cancer; Recurrent Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Breast Adenocarcinoma; Inflammatory Breast Carcinoma

  10. HSP90 empowers evolution of resistance to hormonal therapy in human breast cancer models.

    PubMed

    Whitesell, Luke; Santagata, Sandro; Mendillo, Marc L; Lin, Nancy U; Proia, David A; Lindquist, Susan

    2014-12-23

    The efficacy of hormonal therapies for advanced estrogen receptor-positive breast cancers is limited by the nearly inevitable development of acquired resistance. Efforts to block the emergence of resistance have met with limited success, largely because the mechanisms underlying it are so varied and complex. Here, we investigate a new strategy aimed at the very processes by which cancers evolve resistance. From yeast to vertebrates, heat shock protein 90 (HSP90) plays a unique role among molecular chaperones by promoting the evolution of heritable new traits. It does so by regulating the folding of a diverse portfolio of metastable client proteins, many of which mediate adaptive responses that allow organisms to adapt and thrive in the face of diverse challenges, including those posed by drugs. Guided by our previous work in pathogenic fungi, in which very modest HSP90 inhibition impairs resistance to mechanistically diverse antifungals, we examined the effect of similarly modest HSP90 inhibition on the emergence of resistance to antiestrogens in breast cancer models. Even though this degree of inhibition fell below the threshold for proteotoxic activation of the heat-shock response and had no overt anticancer activity on its own, it dramatically impaired the emergence of resistance to hormone antagonists both in cell culture and in mice. Our findings strongly support the clinical testing of combined hormone antagonist-low-level HSP90 inhibitor regimens in the treatment of metastatic estrogen receptor-positive breast cancer. At a broader level, they also provide promising proof of principle for a generalizable strategy to combat the pervasive problem of rapidly emerging resistance to molecularly targeted therapeutics.

  11. HSP90 empowers evolution of resistance to hormonal therapy in human breast cancer models

    PubMed Central

    Whitesell, Luke; Santagata, Sandro; Mendillo, Marc L.; Lin, Nancy U.; Proia, David A.; Lindquist, Susan

    2014-01-01

    The efficacy of hormonal therapies for advanced estrogen receptor-positive breast cancers is limited by the nearly inevitable development of acquired resistance. Efforts to block the emergence of resistance have met with limited success, largely because the mechanisms underlying it are so varied and complex. Here, we investigate a new strategy aimed at the very processes by which cancers evolve resistance. From yeast to vertebrates, heat shock protein 90 (HSP90) plays a unique role among molecular chaperones by promoting the evolution of heritable new traits. It does so by regulating the folding of a diverse portfolio of metastable client proteins, many of which mediate adaptive responses that allow organisms to adapt and thrive in the face of diverse challenges, including those posed by drugs. Guided by our previous work in pathogenic fungi, in which very modest HSP90 inhibition impairs resistance to mechanistically diverse antifungals, we examined the effect of similarly modest HSP90 inhibition on the emergence of resistance to antiestrogens in breast cancer models. Even though this degree of inhibition fell below the threshold for proteotoxic activation of the heat-shock response and had no overt anticancer activity on its own, it dramatically impaired the emergence of resistance to hormone antagonists both in cell culture and in mice. Our findings strongly support the clinical testing of combined hormone antagonist-low-level HSP90 inhibitor regimens in the treatment of metastatic estrogen receptor-positive breast cancer. At a broader level, they also provide promising proof of principle for a generalizable strategy to combat the pervasive problem of rapidly emerging resistance to molecularly targeted therapeutics. PMID:25489079

  12. Murine Models of Breast Cancer: Assessment of the Role of c-Src in Mammary Tumorigenesis

    DTIC Science & Technology

    2004-10-01

    luc) as shown along with the HSV -TK-Renilla-luciferase reporter (A to E). The fold activation for NFAT-and AP- 1 -firefly-luciferase and actual...Vo AD Award Number: DAMD17-99- 1 -9151 TITLE: Murine Models of Breast Cancer: Assessment of the Role of c-Src in Mammary Tumorigenesis PRINCIPAL...PAGE OMB No. 074-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for

  13. In vivo Raman spectroscopy for breast cancer: diagnosis in animal model

    NASA Astrophysics Data System (ADS)

    Bitar, R.; Martins, M. A.; Ribeiro, D.; Carvalho, C.; Santos, E. A. P.; Ramalho, L. N. Z.; Ramalho, F.; Martinho, H.; Martin, A. A.

    2008-02-01

    Raman spectroscopy has been well established as a powerful method for studying biological tissues and diagnosing diseases. In this study we have developed a breast cancer animal model and collected in vivo Raman spectra of mammary glands of 27 Sprague-Dawley female rats treated with DMBA and 5 non-treated used as control group. A dispersive Raman spectrometer with a @785 nm laser excitation coupled a fiber optic probe and a CCD detector was used to obtain the spectra. The obtained in vivo transcutaneous Raman spectra have shown important differences between normal and abnormal tissues when acquired from one side to the other side of the lesion.

  14. Modeling Prolactin Actions in Breast Cancer in vivo: Insights from the NRL-PRL Mouse

    PubMed Central

    O'Leary, Kathleen A.; Shea, Michael P.; Schuler, Linda A.

    2016-01-01

    Elevated exposure to prolactin is epidemiologically associated with an increased risk of aggressive ER+ breast cancer. To understand the underlying mechanisms and crosstalk with other oncogenic factors, we developed the NRL-PRL mouse. In this model, mammary expression of a rat prolactin transgene raises local exposure to prolactin without altering estrous cycling. Nulliparous females develop metastatic, histotypically diverse mammary carcinomas independent from ovarian steroids, and most are ER+. These characteristics resemble the human clinical disease, facilitating study of tumorigenesis, and identification of novel preventive and therapeutic approaches. PMID:25472540

  15. Risk determination and prevention of breast cancer.

    PubMed

    Howell, Anthony; Anderson, Annie S; Clarke, Robert B; Duffy, Stephen W; Evans, D Gareth; Garcia-Closas, Montserat; Gescher, Andy J; Key, Timothy J; Saxton, John M; Harvie, Michelle N

    2014-09-28

    Breast cancer is an increasing public health problem. Substantial advances have been made in the treatment of breast cancer, but the introduction of methods to predict women at elevated risk and prevent the disease has been less successful. Here, we summarize recent data on newer approaches to risk prediction, available approaches to prevention, how new approaches may be made, and the difficult problem of using what we already know to prevent breast cancer in populations. During 2012, the Breast Cancer Campaign facilitated a series of workshops, each covering a specialty area of breast cancer to identify gaps in our knowledge. The risk-and-prevention panel involved in this exercise was asked to expand and update its report and review recent relevant peer-reviewed literature. The enlarged position paper presented here highlights the key gaps in risk-and-prevention research that were identified, together with recommendations for action. The panel estimated from the relevant literature that potentially 50% of breast cancer could be prevented in the subgroup of women at high and moderate risk of breast cancer by using current chemoprevention (tamoxifen, raloxifene, exemestane, and anastrozole) and that, in all women, lifestyle measures, including weight control, exercise, and moderating alcohol intake, could reduce breast cancer risk by about 30%. Risk may be estimated by standard models potentially with the addition of, for example, mammographic density and appropriate single-nucleotide polymorphisms. This review expands on four areas: (a) the prediction of breast cancer risk, (b) the evidence for the effectiveness of preventive therapy and lifestyle approaches to prevention, (c) how understanding the biology of the breast may lead to new targets for prevention, and (d) a summary of published guidelines for preventive approaches and measures required for their implementation. We hope that efforts to fill these and other gaps will lead to considerable advances in our

  16. The Combinational Polymorphisms of ORAI1 Gene Are Associated with Preventive Models of Breast Cancer in the Taiwanese

    PubMed Central

    Ou-Yang, Fu; Lin, Yu-Da; Chuang, Li-Yeh; Chang, Hsueh-Wei; Yang, Cheng-Hong; Hou, Ming-Feng

    2015-01-01

    The ORAI calcium release-activated calcium modulator 1 (ORAI1) has been proven to be an important gene for breast cancer progression and metastasis. However, the protective association model between the single nucleotide polymorphisms (SNPs) of ORAI1 gene was not investigated. Based on a published data set of 345 female breast cancer patients and 290 female controls, we used a particle swarm optimization (PSO) algorithm to identify the possible protective models of breast cancer association in terms of the SNPs of ORAI1 gene. Results showed that the PSO-generated models of 2-SNP (rs12320939-TT/rs12313273-CC), 3-SNP (rs12320939-TT/rs12313273-CC/rs712853-(TT/TC)), 4-SNP (rs12320939-TT/rs12313273-CC/rs7135617-(GG/GT)/rs712853-(TT/TC)), and 5-SNP (rs12320939-TT/rs12313273-CC/rs7135617-(GG/GT)/rs6486795-CC/rs712853-(TT/TC)) displayed low values of odds ratios (0.409–0.425) for breast cancer association. Taken together, these results suggested that our proposed PSO strategy is powerful to identify the combinational SNPs of rs12320939, rs12313273, rs7135617, rs6486795, and rs712853 of ORAI1 gene with a strongly protective association in breast cancer. PMID:26380267

  17. A steroid metabolizing gene variant in a polyfactorial model improves risk prediction in a high incidence breast cancer population

    PubMed Central

    Jupe, Eldon R.; Dalessandri, Kathie M.; Mulvihill, John J.; Miike, Rei; Knowlton, Nicholas S.; Pugh, Thomas W.; Zhao, Lue Ping; DeFreese, Daniele C.; Manjeshwar, Sharmila; Gramling, Bobby A.; Wiencke, John K.; Benz, Christopher C.

    2014-01-01

    Background We have combined functional gene polymorphisms with clinical factors to improve prediction and understanding of sporadic breast cancer risk, particularly within a high incidence Caucasian population. Methods A polyfactorial risk model (PFRM) was built from both clinical data and functional single nucleotide polymorphism (SNP) gene candidates using multivariate logistic regression analysis on data from 5022 US Caucasian females (1671 breast cancer cases, 3351 controls), validated in an independent set of 1193 women (400 cases, 793 controls), and reassessed in a unique high incidence breast cancer population (165 cases, 173 controls) from Marin County, CA. Results The optimized PFRM consisted of 22 SNPs (19 genes, 6 regulating steroid metabolism) and 5 clinical risk factors, and its 5-year and lifetime risk prediction performance proved significantly superior (~ 2-fold) over the Gail model (Breast Cancer Risk Assessment Tool, BCRAT), whether assessed by odds (OR) or positive likelihood (PLR) ratios over increasing model risk levels. Improved performance of the PFRM in high risk Marin women was due in part to genotype enrichment by a CYP11B2 (-344T/C) variant. Conclusions and general significance Since the optimized PFRM consistently outperformed BCRAT in all Caucasian study populations, it represents an improved personalized risk assessment tool. The finding of higher Marin County risk linked to a CYP11B2 aldosterone synthase SNP associated with essential hypertension offers a new genetic clue to sporadic breast cancer predisposition. PMID:26673457

  18. Breast Cancer Research Program

    DTIC Science & Technology

    2010-09-01

    tion of tumor cells with red indicating the highest density of tumor cells at the primary tumor (4th mammary fat pad ) and purple/blue showing the...Idea Award Elaine Hardman and Philippe Georgel “ Maternal Consumption of Omega 3 Fatty Acids to Reduce Breast Cancer Risk in Offspring” FY09

  19. Surveying Breast Cancer's Genomic Landscape.

    PubMed

    2016-07-01

    An in-depth analysis has produced the most comprehensive portrait to date of the myriad genomic alterations involved in breast cancer. In sequencing the whole genomes of 560 breast cancers and combining this information with published data from another 772 breast tumors, the research team uncovered several new genes and mutational signatures that potentially influence this disease.

  20. Breast cancer screening and biomarkers.

    PubMed

    Brooks, Mai

    2009-01-01

    Annual screening mammograms have been shown to be cost-effective and are credited for the decline in mortality of breast cancer. New technologies including breast magnetic resonance imaging (MRI) may further improve early breast cancer detection in asymptomatic women. Serum tumor markers such as CA 15-3, carcinoembyonic antigen (CEA), and CA 27-29 are ordered in the clinic mainly for disease surveillance, and not useful for detection of localized cancer. This review will discuss blood-based markers and breast-based markers, such as nipple/ductal fluid, with an emphasis on biomarkers for early detection of breast cancer. In the future, it is likely that a combination approach to simultaneously measure multiple markers would be most successful in detecting early breast cancer. Ideally, such a biomarker panel should be able to detect breast cancer in asymptomatic patients, even in the setting of normal mammogram and physical examination results.

  1. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Dr. Harry Mahtani analyzes the gas content of nutrient media from Bioreactor used in research on human breast cancer. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunourous tissues.

  2. Mindfulness Meditation or Survivorship Education in Improving Behavioral Symptoms in Younger Stage 0-III Breast Cancer Survivors (Pathways to Wellness)

    ClinicalTrials.gov

    2017-03-21

    Cancer Survivor; Early-Stage Breast Carcinoma; Stage 0 Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  3. Azacitidine in Treating Patients With Triple Negative Stage I-IV Invasive Breast Cancer That Can Be Removed By Surgery

    ClinicalTrials.gov

    2014-02-05

    Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Triple-negative Breast Cancer

  4. Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model

    PubMed Central

    Gregório, Ana C.; Fonseca, Nuno A.; Moura, Vera; Lacerda, Manuela; Figueiredo, Paulo; Simões, Sérgio; Dias, Sérgio; Moreira, João Nuno

    2016-01-01

    4T1 metastatic breast cancer model have been widely used to study stage IV human breast cancer. However, the frequent inoculation of a large number of cells, gives rise to fast growing tumors, as well as to a surprisingly low metastatic take rate. The present work aimed at establishing the conditions enabling high metastatic take rate of the triple-negative murine 4T1 syngeneic breast cancer model. An 87% 4T1 tumor incidence was observed when as few as 500 cancer cells were implanted. 4T1 cancer cells colonized primarily the lungs with 100% efficiency, and distant lesions were also commonly identified in the mesentery and pancreas. The drastic reduction of the number of inoculated cells resulted in increased tumor doubling times and decreased specific growth rates, following a Gompertzian tumor expansion. The established conditions for the 4T1 mouse model were further validated in a therapeutic study with peguilated liposomal doxorubicin, in clinical used in the setting of metastatic breast cancer. Inoculated cell density was proven to be a key methodological aspect towards the reproducible development of macrometastases in the 4T1 mouse model and a more reliable pre-clinical assessment of antimetastatic therapies. PMID:27820870

  5. Genetic epidemiology of breast cancer.

    PubMed

    Thompson, W D

    1994-07-01

    It has been recognized for some time that a family history of breast cancer is associated rather strongly with a woman's own risk of developing the disease. Recent segregation analyses of population-based data on familial patterns provide evidence for a rare autosomal dominant allele that increases a carrier's susceptibility to breast cancer. The estimated proportion of breast cancer patients who carry this allele declines sharply with age at diagnosis. Empirical estimates of the risk associated with particular patterns of family history of breast cancer indicate the following: (1) having any first-degree relative with breast cancer increases a woman's risk of breast cancer 1.5-3-fold, depending on age, (2) having multiple first degree relatives affected is associated with particularly elevated risks, (3) having a second-degree relative affected increases the risk by approximately 50%, (4) affected family members on the maternal side and the paternal side contribute similarly to the risk, (5) a family history of breast cancer is associated with bilateral disease, and (6) breast cancer in males is associated with breast cancer in female relatives in much the same way as is breast cancer in women. Ovarian cancer clearly has been shown to be associated with breast cancer in families, and genetic linkage has provided strong evidence for a breast-ovarian cancer gene located somewhere on chromosome 17q. At the population level, having a first degree relative with ovarian cancer may be at least as predictive of a woman's risk for developing breast cancer as is having a second-degree relative with breast cancer. Considerably weaker evidence points to a possible familial relationship between breast and endometrial cancer and between breast cancer in women and prostatic cancer in males. The clinical applications of the genetic epidemiology of breast cancer are complicated by uncertainty as to the efficacy of mammographic screening in women under the age of 50. For the vast

  6. Key signalling nodes in mammary gland development and cancer. Mitogen-activated protein kinase signalling in experimental models of breast cancer progression and in mammary gland development.

    PubMed

    Whyte, Jacqueline; Bergin, Orla; Bianchi, Alessandro; McNally, Sara; Martin, Finian

    2009-01-01

    Seven classes of mitogen-activated protein kinase (MAPK) intracellular signalling cascades exist, four of which are implicated in breast disease and function in mammary epithelial cells. These are the extracellular regulated kinase (ERK)1/2 pathway, the ERK5 pathway, the p38 pathway and the c-Jun N-terminal kinase (JNK) pathway. In some forms of human breast cancer and in many experimental models of breast cancer progression, signalling through the ERK1/2 pathway, in particular, has been implicated as being important. We review the influence of ERK1/2 activity on the organised three-dimensional association of mammary epithelial cells, and in models of breast cancer cell invasion. We assess the importance of epidermal growth factor receptor family signalling through ERK1/2 in models of breast cancer progression and the influence of ERK1/2 on its substrate, the oestrogen receptor, in this context. In parallel, we consider the importance of these MAPK-centred signalling cascades during the cycle of mammary gland development. Although less extensively studied, we highlight the instances of signalling through the p38, JNK and ERK5 pathways involved in breast cancer progression and mammary gland development.

  7. Decreased Expression of the Early Mitotic Gene CHFR Contributes to the Acquisition of Breast Cancer Phenotypes

    DTIC Science & Technology

    2007-03-01

    human model system. To characterize the role of CHFR in breast cancer , we used both cultured breast cell lines... epithelial cells became elongated and showed more variability in cell size, which is suggestive of the epithelial -to- mesenchymal transition that is...was to characterize the role of CHFR in breast cancer tumorigenesis using both cultured breast cancer cell lines and primary breast cancers

  8. CT/FMT dual-model imaging of breast cancer based on peptide-lipid nanoparticles

    NASA Astrophysics Data System (ADS)

    Xu, Guoqiang; Lin, Qiaoya; Lian, Lichao; Qian, Yuan; Lu, Lisen; Zhang, Zhihong

    2016-03-01

    Breast cancer is one of the most harmful cancers in human. Its early diagnosis is expected to improve the patients' survival rate. X-ray computed tomography (CT) has been widely used in tumor detection for obtaining three-dimentional information. Fluorescence Molecular Tomography (FMT) imaging combined with near-infrared fluorescent dyes provides a powerful tool for the acquisition of molecular biodistribution information in deep tissues. Thus, the combination of CT and FMT imaging modalities allows us to better differentiate diseased tissues from normal tissues. Here we developed a tumor-targeting nanoparticle for dual-modality imaging based on a biocompatible HDL-mimicking peptide-phospholipid scaffold (HPPS) nanocarrier. By incorporation of CT contrast agents (iodinated oil) and far-infrared fluorescent dyes (DiR-BOA) into the hydrophobic core of HPPS, we obtained the FMT and CT signals simultaneously. Increased accumulation of the nanoparticles in the tumor lesions was achieved through the effect of the tumor-targeting peptide on the surface of nanoparticle. It resulted in excellent contrast between lesions and normal tissues. Together, the abilities to sensitively separate the lesions from adjacent normal tissues with the aid of a FMT/CT dual-model imaging approach make the targeting nanoparticles a useful tool for the diagnostics of breast cancer.

  9. Therapeutic efficacy and molecular mechanisms of snake (Walterinnesia aegyptia) venom-loaded silica nanoparticles in the treatment of breast cancer- and prostate cancer-bearing experimental mouse models.

    PubMed

    Badr, Gamal; Al-Sadoon, Mohamed K; Rabah, Danny M

    2013-12-01

    The treatment of drug-resistant cancer is a clinical challenge, and thus screening for novel anticancer drugs is critically important. We recently demonstrated a strong enhancement of the antitumor activity of snake (Walterinnesia aegyptia) venom (WEV) in vitro in breast carcinoma, prostate cancer, and multiple myeloma cell lines but not in normal cells when the venom was combined with silica nanoparticles (WEV+NP). In the present study, we investigated the in vivo therapeutic efficacy of WEV+NP in breast cancer- and prostate cancer-bearing experimental mouse models. Xenograft breast and prostate tumor mice models were randomized into 4 groups for each cancer model (10 mice per group) and were treated with vehicle (control), NP, WEV, or WEV+NP daily for 28 days post tumor inoculation. The tumor volumes were monitored throughout the experiment. On Day 28 post tumor inoculation, breast and prostate tumor cells were collected and either directly cultured for flow cytometry analysis or lysed for Western blot and ELISA analysis. Treatment with WEV+NP or WEV alone significantly reduced both breast and prostate tumor volumes compared to treatment with NP or vehicle alone. Compared to treatment with WEV alone, treatment of breast and prostate cancer cells with WEV+NP induced marked elevations in the levels of reactive oxygen species (ROS), hydroperoxides, and nitric oxide; robust reductions in the levels of the chemokines CXCL9, CXCL10, CXCL12, CXCL13, and CXCL16 and decreased surface expression of their cognate chemokine receptors CXCR3, CXCR4, CXCR5, and CXCR6; and subsequent reductions in the chemokine-dependent migration of both breast and prostate cancer cells. Furthermore, we found that WEV+NP strongly inhibited insulin-like growth factor 1 (IGF-1)- and epidermal growth factor (EGF)-mediated proliferation of breast and prostate cancer cells, respectively, and enhanced the induction of apoptosis by increasing the activity of caspase-3,-8, and -9 in both breast and

  10. Modelling Circulating Tumour Cells for Personalised Survival Prediction in Metastatic Breast Cancer

    PubMed Central

    2015-01-01

    Ductal carcinoma is one of the most common cancers among women, and the main cause of death is the formation of metastases. The development of metastases is caused by cancer cells that migrate from the primary tumour site (the mammary duct) through the blood vessels and extravasating they initiate metastasis. Here, we propose a multi-compartment model which mimics the dynamics of tumoural cells in the mammary duct, in the circulatory system and in the bone. Through a branching process model, we describe the relation between the survival times and the four markers mainly involved in metastatic breast cancer (EPCAM, CD47, CD44 and MET). In particular, the model takes into account the gene expression profile of circulating tumour cells to predict personalised survival probability. We also include the administration of drugs as bisphosphonates, which reduce the formation of circulating tumour cells and their survival in the blood vessels, in order to analyse the dynamic changes induced by the therapy. We analyse the effects of circulating tumour cells on the progression of the disease providing a quantitative measure of the cell driver mutations needed for invading the bone tissue. Our model allows to design intervention scenarios that alter the patient-specific survival probability by modifying the populations of circulating tumour cells and it could be extended to other cancer metastasis dynamics. PMID:25978366

  11. Pharmacokinetically Guided Everolimus in Patients With Breast Cancer, Pancreatic Neuroendocrine Tumors, or Kidney Cancer

    ClinicalTrials.gov

    2016-12-09

    Estrogen Receptor-positive Breast Cancer; Gastrinoma; Glucagonoma; HER2-negative Breast Cancer; Insulinoma; Mucositis; Oral Complications; Pancreatic Polypeptide Tumor; Progesterone Receptor-positive Breast Cancer; Recurrent Breast Cancer; Recurrent Islet Cell Carcinoma; Recurrent Renal Cell Cancer; Somatostatinoma; Stage III Renal Cell Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Stage IV Renal Cell Cancer

  12. What Happens After Treatment for Breast Cancer in Men?

    MedlinePlus

    ... Men After Treatment What Happens After Treatment for Breast Cancer in Men? For many men with breast cancer, ... Breast Cancer in Men Stops Working More In Breast Cancer In Men About Breast Cancer in Men Causes, ...

  13. Male breast cancer.

    PubMed

    Reis, Leonardo Oliveira; Dias, Fernando Gf; Castro, Marcos As; Ferreira, Ubirajara

    2011-06-01

    Male breast cancer (MBC) is a rare disease. However, as global populace ages, there is a trend to MBC increasing. Although aetiology is still unclear, constitutional, environmental, hormonal (abnormalities in estrogen/androgen balance) and genetic (positive family history, Klinefelter syndrome, mutations in BRCA1 and specially BRCA2) risk factors are already known. Clinic manifestation is painless hard and fixed nodule in the subareolar region in 75% of cases, with nipple commitment earlier than in women. Breast cancer has similar prognostic factors in males and females, among which axillary adenopathy (present in 40-55% cases) is the most important one. Although mammography, ultrasonography and scintigraphy can be useful tools in diagnosis; clinical assessment, along with a confirmatory biopsy, remains the main step in the evaluation of men with breast lesions. Infiltrating ductal carcinoma is the most frequent histological type. The established standard of care is modified radical mastectomy followed by tamoxifen for endocrine-responsive positive disease, although other options are being explored. While similarities between breast cancer in males and females exist, it is not appropriate to extrapolate data from female disease to the treatment of male. There is a need for specific multi-institutional trials to better understanding of clinicopathologic features and establishment of optimal therapy for this disease.

  14. Nifuroxazide induces apoptosis and impairs pulmonary metastasis in breast cancer model

    PubMed Central

    Yang, F; Hu, M; Lei, Q; Xia, Y; Zhu, Y; Song, X; Li, Y; Jie, H; Liu, C; Xiong, Y; Zuo, Z; Zeng, A; Li, Y; Yu, L; Shen, G; Wang, D; Xie, Y; Ye, T; Wei, Y

    2015-01-01

    Breast carcinoma is the most common female cancer with considerable metastatic potential. Signal transducers and activators of the transcription 3 (Stat3) signaling pathway is constitutively activated in many cancers including breast cancer and has been validated as a novel potential anticancer target. Here, we reported our finding with nifuroxazide, an antidiarrheal agent identified as a potent inhibitor of Stat3. The potency of nifuroxazide on breast cancer was assessed in vitro and in vivo. In this investigation, we found that nifuroxazide decreased the viability of three breast cancer cell lines and induced apoptosis of cancer cells in a dose-dependent manner. In addition, western blot analysis demonstrated that the occurrence of its apoptosis was associated with activation of cleaved caspases-3 and Bax, downregulation of Bcl-2. Moreover, nifuroxazide markedly blocked cancer cell migration and invasion, and the reduction of phosphorylated-Stat3Tyr705, matrix metalloproteinase (MMP) MMP-2 and MMP-9 expression were also observed. Furthermore, in our animal experiments, intraperitoneal administration of 50 mg/kg/day nifuroxazide suppressed 4T1 tumor growth and blocked formation of pulmonary metastases without detectable toxicity. Meanwhile, histological and immunohistochemical analyses revealed a decrease in Ki-67-positive cells, MMP-9-positive cells and an increase in cleaved caspase-3-positive cells upon nifuroxazide. Notably, nifuroxazide reduced the number of myeloid-derived suppressor cell in the lung. Our data indicated that nifuroxazide may potentially be a therapeutic agent for growth and metastasis of breast cancer. PMID:25811798

  15. Nifuroxazide induces apoptosis and impairs pulmonary metastasis in breast cancer model.

    PubMed

    Yang, F; Hu, M; Lei, Q; Xia, Y; Zhu, Y; Song, X; Li, Y; Jie, H; Liu, C; Xiong, Y; Zuo, Z; Zeng, A; Li, Y; Yu, L; Shen, G; Wang, D; Xie, Y; Ye, T; Wei, Y

    2015-03-26

    Breast carcinoma is the most common female cancer with considerable metastatic potential. Signal transducers and activators of the transcription 3 (Stat3) signaling pathway is constitutively activated in many cancers including breast cancer and has been validated as a novel potential anticancer target. Here, we reported our finding with nifuroxazide, an antidiarrheal agent identified as a potent inhibitor of Stat3. The potency of nifuroxazide on breast cancer was assessed in vitro and in vivo. In this investigation, we found that nifuroxazide decreased the viability of three breast cancer cell lines and induced apoptosis of cancer cells in a dose-dependent manner. In addition, western blot analysis demonstrated that the occurrence of its apoptosis was associated with activation of cleaved caspases-3 and Bax, downregulation of Bcl-2. Moreover, nifuroxazide markedly blocked cancer cell migration and invasion, and the reduction of phosphorylated-Stat3(Tyr705), matrix metalloproteinase (MMP) MMP-2 and MMP-9 expression were also observed. Furthermore, in our animal experiments, intraperitoneal administration of 50 mg/kg/day nifuroxazide suppressed 4T1 tumor growth and blocked formation of pulmonary metastases without detectable toxicity. Meanwhile, histological and immunohistochemical analyses revealed a decrease in Ki-67-positive cells, MMP-9-positive cells and an increase in cleaved caspase-3-positive cells upon nifuroxazide. Notably, nifuroxazide reduced the number of myeloid-derived suppressor cell in the lung. Our data indicated that nifuroxazide may potentially be a therapeutic agent for growth and metastasis of breast cancer.

  16. [Occult multicentric breast cancer].

    PubMed

    Vtorushin, S V; Zab'ialova, M V; Glushchenko, S A; Perel'muter, V M; Slonimskaia, E M

    2009-01-01

    The study included 92 patients with invasive ductal breast cancer (T2-4N0-2M0-1). In 38 cases, tumor growth was unicentric while histologically identifiable ones as multicentric in 44. Multicentricity mostly occurred in cases of macroscopically-identifiable nodes located in the central segments of the breast. Clinically-identifiable nodes of multicentric tumor growth measured more than 3 cm. Multicentric tumors were mostly grade III, featured lower expression of sex hormone receptors and positive Her2 status.

  17. Breast-Conserving Surgery Followed by Radiation Therapy With MRI-Detected Stage I or Stage II Breast Cancer

    ClinicalTrials.gov

    2011-12-07

    Ductal Breast Carcinoma in Situ; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; HER2-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Male Breast Cancer; Medullary Ductal Breast Carcinoma With Lymphocytic Infiltrate; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Progesterone Receptor-negative Breast Cancer; Progesterone Receptor-positive Breast Cancer; Stage I Breast Cancer; Stage II Breast Cancer; Tubular Ductal Breast Carcinoma

  18. Intratumoral heterogeneity in a p53 null mouse model of human breast cancer

    PubMed Central

    Zhang, Mei; Tsimelzon, Anna; Chang, Chi-Hsuan; Fan, Cheng; Wolff, Andrew; Perou, Charles M.; Hilsenbeck, Susan G.; Rosen, Jeffrey M.

    2015-01-01

    Intratumoral heterogeneity correlates with clinical outcome and reflects the cellular complexity and dynamics within a tumor. Such heterogeneity is thought to contribute to radio- and chemoresistance since many treatments may only target certain tumor cell subpopulations. A better understanding of the functional interactions between various subpopulations of cells, therefore, may help in the development of effective cancer treatments. We identified a unique subpopulation of tumor cells expressing mesenchymal-like markers in a p53 null mouse model of basal-like breast cancer using fluorescence-activated cell sorting and microarray analysis. Both in vitro and in vivo experiments revealed the existence of crosstalk between these “mesenchymal-like” cells and tumor-initiating cells. Knockdown of genes encoding ligands upregulated in the mesenchymal cells and their corresponding receptors in the tumor-initiating cells resulted in reduced tumorigenicity and increased tumor latency. These studies illustrate the non-cell autonomous properties and importance of cooperativity between tumor subpopulations. PMID:25735774

  19. You, Your Teenage Daughter and Breast Cancer.

    ERIC Educational Resources Information Center

    Brateman, Libby

    1991-01-01

    Discusses breast cancer and teenagers, focusing on how parents can introduce the subject and encourage breast self-examination. The article provides information on breast cancer statistics, mammography, and American Cancer Society services. (SM)

  20. The Effect of Everolimus in an In Vitro Model of Triple Negative Breast Cancer and Osteoclasts

    PubMed Central

    Mercatali, Laura; Spadazzi, Chiara; Miserocchi, Giacomo; Liverani, Chiara; De Vita, Alessandro; Bongiovanni, Alberto; Recine, Federica; Amadori, Dino; Ibrahim, Toni

    2016-01-01

    Metastatic bone disease has a major impact on morbidity of breast cancer (BC) patients. Alterations in mTOR signaling are involved both in cancer progression and in osteoclast differentiation. The purpose of this study was to assess the role of mTOR inhibitor Everolimus (Eve) on osteoclastogenesis induced by triple negative BC cells. To this aim, we developed an in vitro human model of osteoclastogenesis from peripheral blood monocytes co-cultured with the triple negative SCP2 and the hormonal receptor positive MCF7 cell lines. Osteoclastogenesis was evaluated by TRAP staining, evaluation of F actin rings and Calcitonin Receptor expression. Eve significantly reduced differentiation induced by cancer cells and resulted more effective when evaluated in combination with Denosumab and Zoledronic Acid (Zol). Combination with Zol showed a total abrogation of osteoclast differentiation induced by the triple negative cell line, not by MCF7. Finally, we observed that Eve was active in the inhibition of the crosstalk between cancer cells and osteoclasts reproduced by our model, highlighting a new therapeutic choice for the subsetting of triple negative BC patients. We observed a difference in the response to bone-targeted therapy with respect to BC subtypes. Our model may represent a valid platform for preclinical trials on bone-targeted drugs and for the study of the interplay of BC with bone stromal cells. PMID:27809291

  1. Assessing the accuracy and reproducibility of modality independent elastography in a murine model of breast cancer

    PubMed Central

    Weis, Jared A.; Flint, Katelyn M.; Sanchez, Violeta; Yankeelov, Thomas E.; Miga, Michael I.

    2015-01-01

    Abstract. Cancer progression has been linked to mechanics. Therefore, there has been recent interest in developing noninvasive imaging tools for cancer assessment that are sensitive to changes in tissue mechanical properties. We have developed one such method, modality independent elastography (MIE), that estimates the relative elastic properties of tissue by fitting anatomical image volumes acquired before and after the application of compression to biomechanical models. The aim of this study was to assess the accuracy and reproducibility of the method using phantoms and a murine breast cancer model. Magnetic resonance imaging data were acquired, and the MIE method was used to estimate relative volumetric stiffness. Accuracy was assessed using phantom data by comparing to gold-standard mechanical testing of elasticity ratios. Validation error was <12%. Reproducibility analysis was performed on animal data, and within-subject coefficients of variation ranged from 2 to 13% at the bulk level and 32% at the voxel level. To our knowledge, this is the first study to assess the reproducibility of an elasticity imaging metric in a preclinical cancer model. Our results suggest that the MIE method can reproducibly generate accurate estimates of the relative mechanical stiffness and provide guidance on the degree of change needed in order to declare biological changes rather than experimental error in future therapeutic studies. PMID:26158120

  2. Reproduction and Breast Cancer Risk

    PubMed Central

    Hanf, Volker; Hanf, Dorothea

    2014-01-01

    Summary Reproduction is doubtlessly one of the main biological meanings of life. It is therefore not surprising that various aspects of reproduction impact on breast cancer risk. Various developmental levels may become targets of breast tumorigenesis. This review follows the chronologic sequence of events in the life of a female at risk, starting with the intrauterine development. Furthermore, the influence of both contraceptive measures and fertility treatment on breast cancer development is dealt with, as well as various pregnancy-associated factors, events, and perinatal outcomes. Finally, the contribution of breast feeding to a reduced breast cancer risk is discussed. PMID:25759622

  3. Mutation Screening of 1,237 Cancer Genes across Six Model Cell Lines of Basal-Like Breast Cancer

    PubMed Central

    Olsson, Eleonor; Winter, Christof; George, Anthony; Chen, Yilun; Törngren, Therese; Bendahl, Pär-Ola; Borg, Åke; Gruvberger-Saal, Sofia K.; Saal, Lao H.

    2015-01-01

    Basal-like breast cancer is an aggressive subtype generally characterized as poor prognosis and lacking the expression of the three most important clinical biomarkers, estrogen receptor, progesterone receptor, and HER2. Cell lines serve as useful model systems to study cancer biology in vitro and in vivo. We performed mutational profiling of six basal-like breast cancer cell lines (HCC38, HCC1143, HCC1187, HCC1395, HCC1954, and HCC1937) and their matched normal lymphocyte DNA using targeted capture and next-generation sequencing of 1,237 cancer-associated genes, including all exons, UTRs and upstream flanking regions. In total, 658 somatic variants were identified, of which 378 were non-silent (average 63 per cell line, range 37–146) and 315 were novel (not present in the Catalogue of Somatic Mutations in Cancer database; COSMIC). 125 novel mutations were confirmed by Sanger sequencing (59 exonic, 48 3’UTR and 10 5’UTR, 1 splicing), with a validation rate of 94% of high confidence variants. Of 36 mutations previously reported for these cell lines but not detected in our exome data, 36% could not be detected by Sanger sequencing. The base replacements C/G>A/T, C/G>G/C, C/G>T/A and A/T>G/C were significantly more frequent in the coding regions compared to the non-coding regions (OR 3.2, 95% CI 2.0–5.3, P<0.0001; OR 4.3, 95% CI 2.9–6.6, P<0.0001; OR 2.4, 95% CI 1.8–3.1, P<0.0001; OR 1.8, 95% CI 1.2–2.7, P = 0.024, respectively). The single nucleotide variants within the context of T[C]T/A[G]A and T[C]A/T[G]A were more frequent in the coding than in the non-coding regions (OR 3.7, 95% CI 2.2–6.1, P<0.0001; OR 3.8, 95% CI 2.0–7.2, P = 0.001, respectively). Copy number estimations were derived from the targeted regions and correlated well to Affymetrix SNP array copy number data (Pearson correlation 0.82 to 0.96 for all compared cell lines; P<0.0001). These mutation calls across 1,237 cancer-associated genes and identification of novel variants will aid

  4. Breast Cancer Metastasis

    PubMed Central

    Marino, Natascia; Woditschka, Stephan; Reed, L. Tiffany; Nakayama, Joji; Mayer, Musa; Wetzel, Maria; Steeg, Patricia S.

    2014-01-01

    Despite important progress in adjuvant and neoadjuvant therapies, metastatic disease often develops in breast cancer patients and remains the leading cause of their deaths. For patients with established metastatic disease, therapy is palliative, with few breaks and with mounting adverse effects. Many have hypothesized that a personalized or precision approach (the terms are used interchangeably) to cancer therapy, in which treatment is based on the individual characteristics of each patient, will provide better outcomes. Here, we discuss the molecular basis of breast cancer metastasis and the challenges in personalization of treatment. The instability of metastatic tumors remains a leading obstacle to personalization, because information from a patient’s primary tumor may not accurately reflect the metastasis, and one metastasis may vary from another. Furthermore, the variable presence of tumor subpopulations, such as stem cells and dormant cells, may increase the complexity of the targeted treatments needed. Although molecular signatures and circulating biomarkers have been identified in breast cancer, there is lack of validated predictive molecular markers to optimize treatment choices for either prevention or treatment of metastatic disease. Finally, to maximize the information that can be obtained, increased attention to clinical trial design in the metastasis preventive setting is needed. PMID:23895915

  5. Development of Patient Derived Xenograft Models of Overt Spontaneous Breast Cancer Metastasis: A Cautionary Note

    PubMed Central

    Paez-Ribes, Marta; Man, Shan; Xu, Ping; Kerbel, Robert S.

    2016-01-01

    Several approaches are being evaluated to improve the historically limited value of studying transplanted primary tumors derived by injection of cells from established cell lines for predicting subsequent cancer therapy outcomes in patients and clinical trials. These approaches include use of genetically engineered mouse models (GEMMs) of spontaneous tumors, or patient tumor tissue derived xenografts (PDXs). Almost all such therapy studies utilizing such models involve treatment of established primary tumors. An alternative approach we have developed involves transplanted human tumor xenografts derived from established cell lines to treat mice with overt visceral metastases after primary tumor resection. The rationale is to mimic the more challenging circumstance of treating patients with late stage metastatic disease. These metastatic models entail prior in vivo selection of heritable, phenotypically stable variants with increased aggressiveness for spontaneous metastasis; they were derived by orthotopic injection of tumor cells followed by primary tumor resection and serial selection of distant spontaneous metastases, from which variant cell lines having a more aggressive heritable metastatic phenotype were established. We attempted to adopt this strategy for breast cancer PDXs. We studied five breast cancer PDXs, with the emphasis on two, called HCI-001 and HCI-002, both derived from triple negative breast cancer patients. However significant technical obstacles were encountered. These include the inherent slow growth rates of PDXs, the rarity of overt spontaneous metastases (detected in only 3 of 144 mice), very high rates of tumor regrowths at the primary tumor resection site, the failure of the few human PDX metastases isolated to manifest a more aggressive metastatic phenotype upon re-transplantation into new hosts, and the formation of metastases which were derived from de novo mouse thymomas arising in aged SCID mice that we used for the experiments. We

  6. Risk assessment model for invasive breast cancer in Hong Kong women

    PubMed Central

    Wang, Feng; Dai, Juncheng; Li, Mengjie; Chan, Wing-cheong; Kwok, Carol Chi-hei; Leung, Siu-lan; Wu, Cherry; Li, Wentao; Yu, Wai-cho; Tsang, Koon-ho; Law, Sze-hong; Lee, Priscilla Ming-yi; Wong, Carmen Ka-man; Shen, Hongbing; Wong, Samuel Yeung-shan; Yang, Xiaohong R.; Tse, Lap Ah

    2016-01-01

    Abstract No risk assessment tool is available for identifying high risk population of breast cancer (BCa) in Hong Kong. A case–control study including 918 BCa cases and 923 controls was used to develop the risk assessment model among Hong Kong Chinese women. Each participant received an in-depth interview to obtain their lifestyle and environmental risk factors. Least absolute shrinkage and selection operator (LASSO) selection model was used to select the optimal risk factors (LASSO-model). A risk score system was constructed to evaluate the cumulative effects of selected factors. Bootstrap simulation was used to test the internal validation of the model. Model performance was evaluated by receiver-operator characteristic curves and the area under the curve (AUC). Age, number of parity, number of BCa cases in 1st-degree relatives, exposure to light at night, and sleep quality were the common risk factors for all women. Alcohol drinking was included for premenopausal women; body mass index, age at menarche, age at 1st give birth, breast feeding, using of oral contraceptive, hormone replacement treatment, and history of benign breast diseases were included for postmenopausal women. The AUCs were 0.640 (95% CI, 0.598–0.681) and 0.655 (95% CI, 0.621–0.653) for pre- and postmenopausal women, respectively. Further subgroup evaluation revealed that the model performance was better for women aged 50 to 70 years or ER-positive. This BCa risk assessment tool in Hong Kong Chinese women based on LASSO selection is promising, which shows a slightly higher discriminative accuracy than those developed in other populations. PMID:27512870

  7. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Dr. Robert Richmond extracts breast cell tissue from one of two liquid nitrogen dewars. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunourous tissues.

  8. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Breast tissue specimens in traditional sample dishes. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunourous tissues.

  9. Progress in breast cancer: overview.

    PubMed

    Arteaga, Carlos L

    2013-12-01

    This edition of CCR Focus titled Research in Breast Cancer: Frontiers in Genomics, Biology, and Clinical Investigation reviews six topics that cover areas of translational research of high impact in breast cancer. These topics represent areas of breast cancer research where significant progress has occurred but also where very important challenges remain. The papers in this CCR Focus section are contributed by experts in the respective areas of investigation. Herein, key aspects of these contributions and the research directions they propose are reviewed.

  10. Targeting Breast Cancer Recurrence via Hedgehog-mediated Sensitization of Breast Cancer Stem Cells

    DTIC Science & Technology

    2011-07-01

    established a treatment model in which the Smoothened agonist was sufficient to partially rescue the Sonic Hedgehog knockout suggesting that similar... Hedgehog -mediated Sensitization of Breast Cancer Stem Cells PRINCIPAL INVESTIGATOR: David J. Robbins, Ph.D...June 2010 – 14 June 2011 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Targeting Breast Cancer Recurrence via Hedgehog -mediated Sensitization of

  11. [Organized breast cancer screening].

    PubMed

    Rouëssé, Jacques; Sancho-Garnier, Hélèn

    2014-02-01

    Breast screening programs are increasingly controversial, especially regarding two points: the number of breast cancer deaths they avoid, and the problem of over-diagnosis and over-treatment. The French national breast cancer screening program was extended to cover the whole country in 2004. Ten years later it is time to examine the risk/benefit ratio of this program and to discuss the need for change. Like all forms of cancer management, screening must be regularly updated, taking into account the state of the art, new evidence, and uncertainties. All screening providers should keep themselves informed of the latest findings. In the French program, women aged 50-74 with no major individual or familial risk factors for breast cancer are offered screening mammography and clinical breast examination every two years. Images considered non suspicious of malignancy by a first reader are re-examined by a second reader. The devices and procedures are subjected to quality controls. Participating radiologists (both public and private) are required to read at least 500 mammographies per year. The program's national participation rate was 52.7 % in 2012. When individual screening outside of the national program is taken into account (nearly 15 % of women), coverage appears close to the European recommendation of 65 %. Breast cancer mortality has been falling in France by 0.6 % per year for over 30 years, starting before mass screening was implemented, and by 1.5 % since 2005. This decline can be attributed in part to earlier diagnosis and better treatment, so that the specific impact of screening cannot easily be measured. Over-treatment, defined as the detection and treatment of low-malignancy tumors that would otherwise not have been detected in a person's lifetime, is a major negative effect of screening, but its frequency is not precisely known (reported to range from 1 % to 30 %). In view of these uncertainties, it would be advisable to modify the program in order to

  12. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    High magnification view of human primary breast tumor cells after 56 days of culture in a NASA Bioreactor. The arrow points to bead surface indicating breast cancer cells (as noted by the staining of tumor cell intermediate filaments). NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Jearne Becker, University of South Florida

  13. TRAIL-R2 promotes skeletal metastasis in a breast cancer xenograft mouse model

    PubMed Central

    Hauser, Charlotte; von Au, Anja; El-Sheikh, Doaa; Campbell, Graeme M.; Alp, Göhkan; Schewe, Denis; Hübner, Sebastian; Tiwari, Sanjay; Kownatzki, Daniel; Boretius, Susann; Adam, Dieter; Jonat, Walter; Becker, Thomas; Glüer, Claus C.; Zöller, Margot; Kalthoff, Holger

    2015-01-01

    Despite improvements in detection, surgical approaches and systemic therapies, breast cancer remains typically incurable once distant metastases occur. High expression of TRAIL-R2 was found to be associated with poor prognostic parameters in breast cancer patients, suggesting an oncogenic function of this receptor. In the present study, we aimed to determine the impact of TRAIL-R2 on breast cancer metastasis. Using an osteotropic variant of MDA-MB-231 breast cancer cells, we examine the effects of TRAIL-R2 knockdown in vitro and in vivo. Strikingly, in addition to the reduced levels of the proliferation-promoting factor HMGA2 and corresponding inhibition of cell proliferation, knockdown of TRAIL-R2 increased the levels of E-Cadherin and decreased migration. In vivo, these cells were strongly impaired in their ability to form bone metastases after intracardiac injection. Evaluating possible underlying mechanisms revealed a strong downregulation of CXCR4, the receptor for the chemokine SDF-1 important for homing of cancers cells to the bone. In accordance, cell migration towards SDF-1 was significantly impaired by TRAIL-R2 knockdown. Conversely, overexpression of TRAIL-R2 upregulated CXCR4 levels and enhanced SDF-1-directed migration. We therefore postulate that inhibition of TRAIL-R2 expression could represent a promising therapeutic strategy leading to an effective impairment of breast cancer cell capability to form skeletal metastases. PMID:25909161

  14. Amphiphysin and Breast Cancer

    DTIC Science & Technology

    1998-10-01

    condition appears to represent a novel entity within the emerging family of neurological autoimmune paraneoplastic syndromes , conditions in which...We have recently identified a new human syndrome characterized by breast cancer, autoimmunity directed against the neuronal protein in amphiphysin...and Stiff-Man syndrome (SMS). SMS is a rare disease of the central nervous system characterized by progressive rigidity of the body musculature. This

  15. Breast Cancer Training Program

    DTIC Science & Technology

    2005-08-01

    Institut Curie, Centre Multiply damaged sites in DNA : a challenge Universitaire for cellular repair processes ? May 1, 2004 Dr. Nancy E Davidson...participation in the activities of the Breast Cancer Research Program has enabled her to gain a fundamental understanding of the disease process as well as its...postdoctoral trainee supported in year 04 Dr. Maeda is studying the role of cadherin switching in TGF- BI -mediated epithelial to mesenchymal transition in

  16. Periodontal disease may associate with breast cancer.

    PubMed

    Söder, Birgitta; Yakob, Maha; Meurman, Jukka H; Andersson, Leif C; Klinge, Björn; Söder, Per-Östen

    2011-06-01

    The main purpose was to evaluate the association between periodontal disease and the incidence of breast cancer in a prospective study of 3273 randomly selected subjects aged 30-40 years at baseline. Breast cancer incidence was registered from 1985 to 2001 according to the WHO International Classification of Diseases criteria. At baseline, 1676 individuals also underwent a clinical oral examination (Group A) whereas 1597 subjects were not clinically examined but were registered (Group B). The associations between breast cancer, periodontal disease, and missing molars were determined using multiple logistic regression models with several background variables and known risk factors for cancer. In total 26 subjects in group A and 15 subjects in group B had breast cancer. The incidence of breast cancer was 1.75% in subjects who had periodontal disease and/or any missing molars, and 0 in subjects who had periodontal disease but had no missing molars. For periodontally healthy subjects with no missing teeth the breast cancer incidence was 1%. For group B the respective incidence was 0.94%. Female gender (odds ratio (OR) 13.08) and missing any molar in the mandible (OR 2.36) were explanatory variables for breast cancer. Of the subjects with periodontal disease and any missing molars in the mandible 5.5% had breast cancer in comparison to 0.5% of the subjects who had periodontal disease but no missing molars in the mandible (P < 0.02). Chronic periodontal disease indicated by missing molars seemed to associate statistically with breast cancer.

  17. Modeling Malignant Breast Cancer Occurrence and Survival in Black and White Women

    ERIC Educational Resources Information Center

    Gleason, Michael

    2013-01-01

    Background: Breast cancer (BC), the most common cancer diagnosed in women in the United States, is a heterogeneous disease in which age-specific incidence rates (ASIRs) differ by race and mortality rates are higher in blacks than whites. Goals: (i) understand the reasons for the black-to-white ethnic crossover in the ASIRs; (ii) formulate a…

  18. Multiscale and multi-modality visualization of angiogenesis in a human breast cancer model.

    PubMed

    Cebulla, Jana; Kim, Eugene; Rhie, Kevin; Zhang, Jiangyang; Pathak, Arvind P

    2014-07-01

    Angiogenesis in breast cancer helps fulfill the metabolic demands of the progressing tumor and plays a critical role in tumor metastasis. Therefore, various imaging modalities have been used to characterize tumor angiogenesis. While micro-CT (μCT) is a powerful tool for analyzing the tumor microvascular architecture at micron-scale resolution, magnetic resonance imaging (MRI) with its sub-millimeter resolution is useful for obtaining in vivo vascular data (e.g. tumor blood volume and vessel size index). However, integration of these microscopic and macroscopic angiogenesis data across spatial resolutions remains challenging. Here we demonstrate the feasibility of 'multiscale' angiogenesis imaging in a human breast cancer model, wherein we bridge the resolution gap between ex vivo μCT and in vivo MRI using intermediate resolution ex vivo MR microscopy (μMRI). To achieve this integration, we developed suitable vessel segmentation techniques for the ex vivo imaging data and co-registered the vascular data from all three imaging modalities. We showcase two applications of this multiscale, multi-modality imaging approach: (1) creation of co-registered maps of vascular volume from three independent imaging modalities, and (2) visualization of differences in tumor vasculature between viable and necrotic tumor regions by integrating μCT vascular data with tumor cellularity data obtained using diffusion-weighted MRI. Collectively, these results demonstrate the utility of 'mesoscopic' resolution μMRI for integrating macroscopic in vivo MRI data and microscopic μCT data. Although focused on the breast tumor xenograft vasculature, our imaging platform could be extended to include additional data types for a detailed characterization of the tumor microenvironment and computational systems biology applications.

  19. Prognostic breast cancer signature identified from 3D culture model accurately predicts clinical outcome across independent datasets

    SciTech Connect

    Martin, Katherine J.; Patrick, Denis R.; Bissell, Mina J.; Fournier, Marcia V.

    2008-10-20

    One of the major tenets in breast cancer research is that early detection is vital for patient survival by increasing treatment options. To that end, we have previously used a novel unsupervised approach to identify a set of genes whose expression predicts prognosis of breast cancer patients. The predictive genes were selected in a well-defined three dimensional (3D) cell culture model of non-malignant human mammary epithelial cell morphogenesis as down-regulated during breast epithelial cell acinar formation and cell cycle arrest. Here we examine the ability of this gene signature (3D-signature) to predict prognosis in three independent breast cancer microarray datasets having 295, 286, and 118 samples, respectively. Our results show that the 3D-signature accurately predicts prognosis in three unrelated patient datasets. At 10 years, the probability of positive outcome was 52, 51, and 47 percent in the group with a poor-prognosis signature and 91, 75, and 71 percent in the group with a good-prognosis signature for the three datasets, respectively (Kaplan-Meier survival analysis, p<0.05). Hazard ratios for poor outcome were 5.5 (95% CI 3.0 to 12.2, p<0.0001), 2.4 (95% CI 1.6 to 3.6, p<0.0001) and 1.9 (95% CI 1.1 to 3.2, p = 0.016) and remained significant for the two larger datasets when corrected for estrogen receptor (ER) status. Hence the 3D-signature accurately predicts breast cancer outcome in both ER-positive and ER-negative tumors, though individual genes differed in their prognostic ability in the two subtypes. Genes that were prognostic in ER+ patients are AURKA, CEP55, RRM2, EPHA2, FGFBP1, and VRK1, while genes prognostic in ER patients include ACTB, FOXM1 and SERPINE2 (Kaplan-Meier p<0.05). Multivariable Cox regression analysis in the largest dataset showed that the 3D-signature was a strong independent factor in predicting breast cancer outcome. The 3D-signature accurately predicts breast cancer outcome across multiple datasets and holds prognostic

  20. Breast cancer risk factors

    PubMed Central

    Ciszewski, Tomasz; Łopacka-Szatan, Karolina; Miotła, Paweł; Starosławska, Elżbieta

    2015-01-01

    Breast cancer is the most frequently diagnosed neoplastic disease in women around menopause often leading to a significant reduction of these women's ability to function normally in everyday life. The increased breast cancer incidence observed in epidemiological studies in a group of women actively participating in social and professional life implicates the necessity of conducting multidirectional studies in order to identify risk factors associated with the occurrence of this type of neoplasm. Taking the possibility of influencing the neoplastic transformation process in individuals as a criterion, all the risk factors initiating the process can be divided into two groups. The first group would include inherent factors such as age, sex, race, genetic makeup promoting familial occurrence of the neoplastic disease or the occurrence of benign proliferative lesions of the mammary gland. They all constitute independent parameters and do not undergo simple modification in the course of an individual's life. The second group would include extrinsic factors conditioned by lifestyle, diet or long-term medical intervention such as using oral hormonal contraceptives or hormonal replacement therapy and their influence on the neoplastic process may be modified to a certain degree. Identification of modifiable factors may contribute to development of prevention strategies decreasing breast cancer incidence. PMID:26528110

  1. 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.

  2. Effect of health belief model and health promotion model on breast cancer early diagnosis behavior: a systematic review.

    PubMed

    Ersin, Fatma; Bahar, Zuhal

    2011-01-01

    Breast cancer is an important public health problem on the grounds that it is frequently seen and it is a fatal disease. The objective of this systematic analysis is to indicate the effects of interventions performed by nurses by using the Health Belief Model (HBM) and Health Promotion Model (HPM) on the breast cancer early diagnosis behaviors and on the components of the Health Belief Model and Health Promotion Model. The reveiw was created in line with the Centre for Reviews and Dissemination guide dated 2009 (CRD) and developed by York University National Institute of Health Researches. Review was conducted by using PUBMED, OVID, EBSCO and COCHRANE databases. Six hundred seventy eight studies (PUBMED: 236, OVID: 162, EBSCO: 175, COCHRANE:105) were found in total at the end of the review. Abstracts and full texts of these six hundred seventy eight studies were evaluated in terms of inclusion and exclusion criteria and 9 studies were determined to meet the criteria. Samplings of the studies varied between ninety four and one thousand six hundred fifty five. It was detected in the studies that educations provided by taking the theories as basis became effective on the breast cancer early diagnosis behaviors. When the literature is examined, it is observed that the experimental researches which compare the concepts of Health Belief Model (HBM) and Health Promotion Model (HPM) preoperatively and postoperatively and show the effect of these concepts on education and are conducted by nurses are limited in number. Randomized controlled studies which compare HBM and HPM concepts preoperatively and postoperatively and show the efficiency of the interventions can be useful in evaluating the efficiency of the interventions.

  3. Vascular and Cognitive Assessments in Patients With Breast Cancer Undergoing Chemotherapy After Surgery

    ClinicalTrials.gov

    2017-02-20

    Cognitive/Functional Effects; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  4. Rosuvastatin in Treating Women With Cardiovascular Complications Who Are Undergoing Chemotherapy For Breast Cancer

    ClinicalTrials.gov

    2017-02-20

    Cardiovascular Complications; Recurrent Breast Cancer; Stage I Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer

  5. Paclitaxel Albumin-Stabilized Nanoparticle Formulation in Treating Older Patients With Locally Advanced or Metastatic Breast Cancer

    ClinicalTrials.gov

    2016-10-14

    Male Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; HER2-positive Breast Cancer; Progesterone Receptor-negative Breast Cancer; Progesterone Receptor-positive Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Triple-negative Breast Cancer

  6. Cardiovascular Disease Mortality Among Breast Cancer Survivors

    PubMed Central

    Bradshaw, Patrick T.; Stevens, June; Khankari, Nikhil; Teitelbaum, Susan L.; Neugut, Alfred I.; Gammon, Marilie D.

    2015-01-01

    Background Cardiovascular disease (CVD) is of increasing concern among breast cancer survivors. However the burden of this comorbidity in this group relative to the general population, and its temporal pattern, remains unknown. Methods We compared deaths due to CVD in a population-based sample of 1,413 women with incident breast cancer diagnosed in 1996-1997, and 1,411 age-matched women without breast cancer. Date and cause of death through December 31, 2009 were assessed through the National Death Index and covariate data was gathered through structured interviews and medical record abstraction. Hazard ratios and 95% confidence intervals (CI) were calculated using Cox regression for overall mortality (HR) and CVD-specific death (cause-specific HR). Subdistribution hazard ratios (sHR) for CVD death were estimated from the Fine-Gray model. Results Risk of death was greater among breast cancer survivors compared to women without breast cancer [HR: 1.8 (1.5, 2.1)]. An increase in CVD-related death among breast cancer survivors was evident only 7 years after diagnosis [years 0-7, cause-specific HR: 0.80 (0.53, 1.2), subdistribution HR: 0.59 (0.40, 0.87)]; years 7+, cause-specific HR: 1.8 (1.3, 2.5), subdistribution HR: 1.9 (1.4, 2.7); p-interaction: 0.001]. An increase in CVD-related mortality was observed among breast cancer survivors receiving chemotherapy. Conclusions Breast cancer survivors are at greater risk for CVD-related mortality compared to women without breast cancer and this increase in risk is manifest approximately 7 years after diagnosis. Efforts should be made to identify risk factors and interventions that can be employed during this brief window to reduce the excess burden of CVD in this vulnerable population. PMID:26414938

  7. Pathways to Breast Cancer Recurrence

    PubMed Central

    2013-01-01

    Breast cancer remains a deadly disease, even with all the recent technological advancements. Early intervention has made an impact, but an overwhelmingly large number of breast cancer patients still live under the fear of “recurrent” disease. Breast cancer recurrence is clinically a huge problem and one that is largely not well understood. Over the years, a number of factors have been studied with an overarching aim of being able to prognose recurrent disease. This paper attempts to provide an overview of our current knowledge of breast cancer recurrence and its associated challenges. Through a survey of the literature on cancer stem cells (CSCs), epithelial-mesenchymal transition (EMT), various signaling pathways such as Notch/Wnt/hedgehog, and microRNAs (miRNAs), we also examine the hypotheses that are currently under investigation for the prevention of breast cancer recurrence. PMID:23533807

  8. Studies on Breast Cancer Cell Interactions with Aged Endothelial Cells in Culture and Rat Models

    DTIC Science & Technology

    2006-05-01

    hydrogen peroxide for 4 h were used as a positive control. Second, fluorescein annexin-V binding (using ApoAlert TM Annexin-V-FITC, Clontech...and BPAECs 4 h after the addition of 1 mM hydrogen peroxide (positive control), but not in the lanes containing the young BPAECs to which MCF-7 cells...reactive oxygen species (ROS) generated by the cancer cells. Breast cancer cells and other cancer cell types produce ROS including hydrogen peroxide

  9. Breast cancer statistics and markers.

    PubMed

    Donepudi, Mallika Siva; Kondapalli, Kasturi; Amos, Seelam Jeevan; Venkanteshan, Pavithra

    2014-01-01

    Breast cancer is one of the familiar diseases in women. Incidence and mortality due to cancer, particularly breast cancer has been increasing for last 50 years, even though there is a lacuna in the diagnosis of breast cancer at early stages. According to World Health Organization (WHO) 2012 reports, breast cancer is the leading cause of death in women, accounting 23% of all cancer deaths. In Asia, one in every three women faces the risk of breast cancer in their lifetime as per reports of WHO 2012. Here, the review is been focused on different breast cancer markers, that is, tissue markers (hormone receptors, human epidermal growth factor-2, urokinase plasminogen activator, plasminogen activator inhibitor, p53 and cathepsin D), genetic markers (BRAC1 and 2 and gene expression microarray technique, etc.), and serum markers (CA 15.3, BR 27.29, MCA, CA 549, carcinoembryonic antigen, oncoproteins, and cytokeratins) used in present diagnosis, but none of the mentioned markers can diagnose breast cancer at an early stage. There is a disquieting need for the identification of best diagnosing marker, which can be able to diagnose even in early stage of breast carcinogenesis.

  10. Differential expression of cell adhesion molecules in an ionizing radiation-induced breast cancer model system.

    PubMed

    Calaf, Gloria M; Roy, Debasish; Narayan, Gopeshwar; Balajee, Adayabalam S

    2013-07-01

    Cell-cell adhesion is mediated by members of the cadherin-catenin system and among them E-cadherin and β-catenin are important adhesion molecules for epithelial cell function and preservation of tissue integrity. To investigate the importance of cell adhesion molecules in breast carcinogenesis, we developed an in vitro breast cancer model system wherein immortalized human breast epithelial cell line, MCF-10F, was malignantly transformed by exposure to low doses of high linear energy transfer (LET) α particle radiation (150 keV/µm) and subsequent growth in the presence or absence of 17β-estradiol. This model consisted of human breast epithelial cells in different stages of transformation: i) parental cell line MCF-10F; ii) MCF-l0F continuously grown with estradiol at 10(-8) (Estrogen); iii) a non-malignant cell line (Alpha3); and iv) a malignant and tumorigenic cell line (Alpha5) and the Tumor2 cell line derived from the nude mouse xenograft of the Alpha5 cell line. Expression levels of important cell adhesion molecules such as α-catenin, β-catenin, γ-catenin, E-cadherin and integrin were found to be higher at the protein level in the Alpha5 and Tumor2 cell lines relative to these levels in the non-tumorigenic MCF-10F, Estrogen and Alpha3 cell lines. In corroboration, cDNA expression analysis revealed elevated levels of genes involved in the cell adhesion function [E-cadherin, integrin β6 and desmocollin3 (DSc3)] in the Alpha5 and Tumor2 cell lines relative to the levels in the MCF-10F, Estrogen and Alpha3 cell lines. Collectively, our results suggest that cell adhesion molecules are expressed at higher levels in malignantly transformed breast epithelial cells relative to levels in non-malignant cells. However, reduced levels of adhesion molecules observed in the mouse xenograft-derived Tumor 2 cell line compared to the pre-tumorigenic Alpha5 cell line suggests that the altered expression levels of adhesion molecules depend on the tumor tissue

  11. Drugs Approved for Breast Cancer

    Cancer.gov

    This page lists cancer drugs approved by the Food and Drug Administration (FDA) for breast cancer. The list includes generic names, brand names, and common drug combinations, which are shown in capital letters.

  12. Hormone Therapy for Breast Cancer

    MedlinePlus

    ... outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P–2 trial. JAMA 2006; 295(23):2727– ... and Bowel Project Study of Tamoxifen and Raloxifene (STAR) P-2 Trial: Preventing breast cancer. Cancer Prevention ...

  13. Canine cell line, IPC-366, as a good model for the study of inflammatory breast cancer.

    PubMed

    Caceres, S; Peña, L; Lacerda, L; Illera, M J; de Andres, P J; Larson, R A; Gao, H; Debeb, B G; Woodward, W A; Reuben, J M; Illera, J C

    2016-05-05

    Inflammatory breast cancer (IBC) is an aggressive type of cancer with poor survival in women. Inflammatory mammary cancer (IMC) in dogs is very similar to human IBC and it has been proposed as a good surrogate model for study the human disease. The aim was to determine if IPC-366 shared characteristics with the IBC cell line SUM149. The comparison was conducted in terms of ability to grow (adherent and nonadherent conditions), stem cell markers expression using flow cytometry, protein production using western blot and tumorigenic capacity. Our results revealed that both are capable of forming long-term mammospheres with a grape-like morphology. Adherent and nonadherent cultures exhibited fast growth in vivo. Stem cell markers expressions showed that IPC-366 and SUM149 in adherent and nonadherent conditions has mesenchymal-like characteristics, E-cadherin and N-cadherin, was higher in adherent than in nonadherent cultures. Therefore, this study determines that both cell lines are similar and IPC-366 is a good model for the human and canine disease.

  14. Selective resistance to the PARP inhibitor olaparib in a mouse model for BRCA1-deficient metaplastic breast cancer

    PubMed Central

    Henneman, Linda; van Miltenburg, Martine H.; Michalak, Ewa M.; Braumuller, Tanya M.; Jaspers, Janneke E.; Drenth, Anne Paulien; de Korte-Grimmerink, Renske; Gogola, Ewa; Szuhai, Karoly; Schlicker, Andreas; Bin Ali, Rahmen; Pritchard, Colin; Huijbers, Ivo J.; Berns, Anton; Rottenberg, Sven; Jonkers, Jos

    2015-01-01

    Metaplastic breast carcinoma (MBC) is a rare histological breast cancer subtype characterized by mesenchymal elements and poor clinical outcome. A large fraction of MBCs harbor defects in breast cancer 1 (BRCA1). As BRCA1 deficiency sensitizes tumors to DNA cross-linking agents and poly(ADP-ribose) polymerase (PARP) inhibitors, we sought to investigate the response of BRCA1-deficient MBCs to the PARP inhibitor olaparib. To this end, we established a genetically engineered mouse model (GEMM) for BRCA1-deficient MBC by introducing the MET proto-oncogene into a BRCA1-associated breast cancer model, using our novel female GEMM ES cell (ESC) pipeline. In contrast to carcinomas, BRCA1-deficient mouse carcinosarcomas resembling MBC show intrinsic resistance to olaparib caused by increased P-glycoprotein (Pgp) drug efflux transporter expression. Indeed, resistance could be circumvented by using another PARP inhibitor, AZD2461, which is a poor Pgp substrate. These preclinical findings suggest that patients with BRCA1-associated MBC may show poor response to olaparib and illustrate the value of GEMM-ESC models of human cancer for evaluation of novel therapeutics. PMID:26100884

  15. Selective resistance to the PARP inhibitor olaparib in a mouse model for BRCA1-deficient metaplastic breast cancer.

    PubMed

    Henneman, Linda; van Miltenburg, Martine H; Michalak, Ewa M; Braumuller, Tanya M; Jaspers, Janneke E; Drenth, Anne Paulien; de Korte-Grimmerink, Renske; Gogola, Ewa; Szuhai, Karoly; Schlicker, Andreas; Bin Ali, Rahmen; Pritchard, Colin; Huijbers, Ivo J; Berns, Anton; Rottenberg, Sven; Jonkers, Jos

    2015-07-07

    Metaplastic breast carcinoma (MBC) is a rare histological breast cancer subtype characterized by mesenchymal elements and poor clinical outcome. A large fraction of MBCs harbor defects in breast cancer 1 (BRCA1). As BRCA1 deficiency sensitizes tumors to DNA cross-linking agents and poly(ADP-ribose) polymerase (PARP) inhibitors, we sought to investigate the response of BRCA1-deficient MBCs to the PARP inhibitor olaparib. To this end, we established a genetically engineered mouse model (GEMM) for BRCA1-deficient MBC by introducing the MET proto-oncogene into a BRCA1-associated breast cancer model, using our novel female GEMM ES cell (ESC) pipeline. In contrast to carcinomas, BRCA1-deficient mouse carcinosarcomas resembling MBC show intrinsic resistance to olaparib caused by increased P-glycoprotein (Pgp) drug efflux transporter expression. Indeed, resistance could be circumvented by using another PARP inhibitor, AZD2461, which is a poor Pgp substrate. These preclinical findings suggest that patients with BRCA1-associated MBC may show poor response to olaparib and illustrate the value of GEMM-ESC models of human cancer for evaluation of novel therapeutics.

  16. Fulvestrant and/or Anastrozole in Treating Postmenopausal Patients With Stage II-III Breast Cancer Undergoing Surgery

    ClinicalTrials.gov

    2017-03-06

    Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Recurrent Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  17. Breast and Colon Cancer Family Registries

    Cancer.gov

    The Breast Cancer Family Registry and the Colon Cancer Family Registry were established by the National Cancer Institute as a resource for investigators to use in conducting studies on the genetics and molecular epidemiology of breast and colon cancer.

  18. Effective combination therapies in preclinical endocrine resistant breast cancer models harboring ER mutations

    PubMed Central

    Ladd, Brendon; Mazzola, Anne Marie; Bihani, Teeru; Lai, Zhongwu; Bradford, James; Collins, Michael; Barry, Evan; Goeppert, Anne U.; Weir, Hazel M.; Hearne, Kelly; Renshaw, Jonathan G.; Mohseni, Morvarid; Hurt, Elaine; Jalla, Sanjoo; Bao, Haifeng; Hollingsworth, Robert; Reimer, Corinne; Zinda, Michael; Fawell, Stephen; D'Cruz, Celina M.

    2016-01-01

    Although endocrine therapy is successfully used to treat patients with estrogen receptor (ER) positive breast cancer, a substantial proportion of this population will relapse. Several mechanisms of acquired resistance have been described including activation of the mTOR pathway, increased activity of CDK4 and activating mutations in ER. Using a patient derived xenograft model harboring a common activating ER ligand binding domain mutation (D538G), we evaluated several combinatorial strategies using the selective estrogen receptor degrader (SERD) fulvestrant in combination with chromatin modifying agents, and CDK4/6 and mTOR inhibitors. In this model, fulvestrant binds WT and MT ER, reduces ER protein levels, and downregulated ER target gene expression. Addition of JQ1 or vorinostat to fulvestrant resulted in tumor regression (41% and 22% regression, respectively) though no efficacy was seen when either agent was given alone. Interestingly, although the CDK4/6 inhibitor palbociclib and mTOR inhibitor everolimus were efficacious as monotherapies, long-term delayed tumor growth was only observed when co-administered with fulvestrant. This observation was consistent with a greater inhibition of compensatory signaling when palbociclib and everolimus were co-dosed with fulvestrant. The addition of fulvestrant to JQ1, vorinostat, everolimus and palbociclib also significantly reduced lung metastatic burden as compared to monotherapy. The combination potential of fulvestrant with palbociclib or everolimus were confirmed in an MCF7 CRISPR model harboring the Y537S ER activating mutation. Taken together, these data suggest that fulvestrant may have an important role in the treatment of ER positive breast cancer with acquired ER mutations. PMID:27472462

  19. Serotonin transporter antagonists target tumor-initiating cells in a transgenic mouse model of breast cancer

    PubMed Central

    Hallett, Robin M.; Girgis-Gabardo, Adele; Gwynne, William D.; Giacomelli, Andrew O.; Bisson, Jennifer N.P.; Jensen, Jeremy E.; Dvorkin-Gheva, Anna; Hassell, John A.

    2016-01-01

    Accumulating data suggests that the initiation and progression of human breast tumors is fueled by a rare subpopulation of tumor cells, termed breast tumor-initiating cells (BTIC), which resist radiotherapy and chemotherapy. Consequently, therapies that abrogate BTIC activity are needed to achieve durable cures for breast cancer patients. To identify such therapies we used a sensitive assay to complete a high-throughput screen of small molecules, including approved drugs, with BTIC-rich mouse mammary tumor cell populations. We found that inhibitors of the serotonin reuptake transporter (SERT) and serotonin receptors, which include approved drugs used to treat mood disorders, were potent inhibitors of mouse BTIC activity as determined by functional sphere-forming assays and the initiation of tumor formation by transplant of drug-exposed tumor cells into syngeneic mice. Moreover, sertraline (Zoloft), a selective serotonin reuptake inhibitor (SSRI), synergized with docetaxel (Taxotere) to shrink mouse breast tumors in vivo. Hence drugs targeting the serotonergic system might be repurposed to treat breast cancer patients to afford more durable breast cancer remissions. PMID:27447971

  20. Breast Cancer Stem Cells

    PubMed Central

    Velasco-Velázquez, Marco A.; Homsi, Nora; De La Fuente, Marisol; Pestell, Richard G.

    2012-01-01

    Breast cancer stem cells (BCSCs) constitute a subpopulation of tumor cells that express stem cell-associated markers and have a high capacity for tumor generation in vivo. Identification of BCSCs from tumor samples or breast cancer cell lines has been based mainly on CD44+/CD24−/low or ALDH+ phenotypes. BCSCs isolation has allowed the analysis of the molecular mechanisms involved in their origin, self-renewal, differentiation into tumor cells, resistance to radiation therapy and chemotherapy, and invasiveness and metastatic ability. Molecular genetic analysis using knockout animals and inducible transgenics have identified NF-κB, c-Jun, p21CIP1, and Forkhead-like-protein Dach1 in BCSC expansion and fate. Clinical analyses of BCSCs in breast tumors have found a correlation between the proportion of BCSCs and poor prognosis. Therefore, new therapies that specifically target BCSCs are an urgent need. We summarize recent evidence that partially explain the biological characteristics of BCSCs. PMID:22249027

  1. Deletion of the amino acid transporter Slc6a14 suppresses tumour growth in spontaneous mouse models of breast cancer.

    PubMed

    Babu, Ellappan; Bhutia, Yangzom D; Ramachandran, Sabarish; Gnanaprakasam, Jaya P; Prasad, Puttur D; Thangaraju, Muthusamy; Ganapathy, Vadivel

    2015-07-01

    SLC6A14 mediates Na(+)/Cl(-)-coupled concentrative uptake of a broad-spectrum of amino acids. It is expressed at low levels in many tissues but up-regulated in certain cancers. Pharmacological blockade of SLC6A14 causes amino acid starvation in estrogen receptor positive (ER+) breast cancer cells and suppresses their proliferation in vitro and in vivo. In the present study, we interrogated the role of this transporter in breast cancer by deleting Slc6a14 in mice and monitoring the consequences of this deletion in models of spontaneous breast cancer (Polyoma middle T oncogene-transgenic mouse and mouse mammary tumour virus promoter-Neu-transgenic mouse). Slc6a14-knockout mice are viable, fertile and phenotypically normal. The plasma amino acids were similar in wild-type and knockout mice and there were no major compensatory changes in the expression of other amino acid transporter mRNAs. There was also no change in mammary gland development in the knockout mouse. However, when crossed with PyMT-Tg mice or MMTV/Neu (mouse mammary tumour virus promoter-Neu)-Tg mice, the development and progression of breast cancer were markedly decreased on Slc6a14(-/-) background. Analysis of transcriptomes in tumour tissues from wild-type mice and Slc6a14-null mice indicated no compensatory changes in the expression of any other amino acid transporter mRNA. However, the tumours from the null mice showed evidence of amino acid starvation, decreased mTOR signalling and decreased cell proliferation. These studies demonstrate that SLC6A14 is critical for the maintenance of amino acid nutrition and optimal mammalian target of rapamycin (mTOR) signalling in ER+ breast cancer and that the transporter is a potential target for development of a novel class of anti-cancer drugs targeting amino acid nutrition in tumour cells.

  2. SU-E-J-115: Using Markov Chain Modeling to Elucidate Patterns in Breast Cancer Metastasis Over Time and Space

    SciTech Connect

    Comen, E; Mason, J; Kuhn, P; Nieva, J; Newton, P; Norton, L; Venkatappa, N; Jochelson, M

    2014-06-01

    Purpose: Traditionally, breast cancer metastasis is described as a process wherein cancer cells spread from the breast to multiple organ systems via hematogenous and lymphatic routes. Mapping organ specific patterns of cancer spread over time is essential to understanding metastatic progression. In order to better predict sites of metastases, here we demonstrate modeling of the patterned migration of metastasis. Methods: We reviewed the clinical history of 453 breast cancer patients from Memorial Sloan Kettering Cancer Center who were non-metastatic at diagnosis but developed metastasis over time. We used the variables of organ site of metastases as well as time to create a Markov chain model of metastasis. We illustrate the probabilities of metastasis occurring at a given anatomic site together with the probability of spread to additional sites. Results: Based on the clinical histories of 453 breast cancer patients who developed metastasis, we have learned (i) how to create the Markov transition matrix governing the probabilities of cancer progression from site to site; (ii) how to create a systemic network diagram governing disease progression modeled as a random walk on a directed graph; (iii) how to classify metastatic sites as ‘sponges’ that tend to only receive cancer cells or ‘spreaders’ that receive and release them; (iv) how to model the time-scales of disease progression as a Weibull probability distribution function; (v) how to perform Monte Carlo simulations of disease progression; and (vi) how to interpret disease progression as an entropy-increasing stochastic process. Conclusion: Based on our modeling, metastatic spread may follow predictable pathways. Mapping metastasis not simply by organ site, but by function as either a ‘spreader’ or ‘sponge’ fundamentally reframes our understanding of metastatic processes. This model serves as a novel platform from which we may integrate the evolving genomic landscape that drives cancer

  3. FOXC1 identifies basal-like breast cancer in a hereditary breast cancer cohort

    PubMed Central

    Johnson, Jeff; Choi, Michael; Dadmanesh, Farnaz; Han, Bingchen; Qu, Ying; Yu-Rice, Yi; Zhang, Xiao; Bagaria, Sanjay; Taylor, Clive; Giuliano, Armando E.; Amersi, Farin; Cui, Xiaojiang

    2016-01-01

    Breast cancers arising in the setting of the hereditary breast cancer genes BRCA1 and BRCA2 are most commonly classified as basal-like breast cancer (BLBC) or luminal breast cancer, respectively. BLBC is an aggressive subtype of breast cancer associated with liver and lung metastases and poorer prognosis than other subtypes and for which chemotherapy is the only systemic therapy. Multiple immunohistochemical markers are used to identify the basal-like subtype, including the absence of estrogen receptor alpha, progesterone receptor, and human epidermal growth factor receptor 2. Forkhead box C1 (FOXC1) has been identified as a specific marker expressed in BLBC in general breast cancer cohorts. We examined an institutional cohort of breast cancer patients with germline BRCA1 (n=46) and BRCA2 (n=35) mutations and found that FOXC1 expression on immunohistochemical staining is associated with BRCA1 vs BRCA2 mutations [30/46 vs. 6/35]. In BRCA1 mutant tumors, FOXC1 was expressed in 28/31 BLBC tumors and 2/13 non-BLBC tumors, In BRCA2 mutant tumors, FOXC1 was expressed in 5/5 BLBC tumors and 1/30 non-BLBC tumors. In cell culture models of BRCA1-mutant breast cancer, FOXC1 is associated with increased proliferation and may serve as a marker for sensitivity to PARP-inhibitor therapy with olaparib. PMID:27708239

  4. PHOSPHOLIPASE D (PLD) DRIVES CELL INVASION, TUMOR GROWTH AND METASTASIS IN A HUMAN BREAST CANCER XENOGRAPH MODEL

    PubMed Central

    Henkels, Karen M.; Boivin, Gregory P.; Dudley, Emily S.; Berberich, Steven J.; Gomez-Cambronero, Julian

    2014-01-01

    Breast cancer is one of the most common malignancies in human females in the world. One protein that has elevated enzymatic lipase activity in breast cancers in vitro is phospholipase D (PLD), which is also involved in cell migration. We demonstrate that the PLD2 isoform, which was analyzed directly in the tumors, is crucial for cell invasion that contributes critically to the growth and development of breast tumors and lung metastases in vivo. We used three complementary strategies in a SCID mouse model and also addressed the underlying molecular mechanism. First, the PLD2 gene was silenced in highly metastatic, aggressive breast cancer cells (MDA-MB-231) with lentivirus-based shRNA, which were xenotransplanted in SCID mice. The resulting mouse primary mammary tumors were reduced in size (65%, p<0.05) and their onset delayed when compared to control tumors. Second, we stably overexpressed PLD2 in low-invasive breast cancer cells (MCF-7) with a biscistronic MIEG retroviral vector and observed that these cells were converted into a highly aggressive phenotype, as primary tumors that formed following xenotransplantation were larger, grew faster and developed lung metastases more readily. Third, we implanted osmotic pumps into SCID xenotransplanted mice that delivered two different small-molecule inhibitors of PLD activity (FIPI and NOPT). These inhibitors led to significant (>70%, p<0.05) inhibition of primary tumor growth, metastatic axillary tumors and lung metastases. In order to define the underlying mechanism, we determined that the machinery of PLD-induced cell invasion is mediated by phosphatidic acid (PA), WASp, Grb2 and Rac2 signaling events that ultimately affect actin polymerization and cell invasion. In summary, this study shows that PLD has a central role in the development, metastasis and level of aggressiveness of breast cancer, raising the possibility that PLD2 could be used as a new therapeutic target. PMID:23752189

  5. [Can breast cancer be prevented?].

    PubMed

    Vatten, L J

    1991-05-30

    More than six-fold variation in incidence between countries, an increasing incidence among immigrants to high incidence areas, and a general increase in the incidence of breast cancer within countries, are factors which suggest a potential for prevention. Reproductive factors such as early menarche, late age at first full term birth, nulliparity, and late age at menopause increase risk of breast cancer, but manipulation of any one of these factors does not seem to be a realistic preventive tool. Nevertheless, the future possibility of using tamoxifen as a chemopreventive agent against breast cancer is discussed, particularly in relation to women at increased risk due to familial clustering. Alcohol consumption by young women, and overweight among postmenopausal women may also increase the incidence of breast cancer. Consequently, reduced alcohol intake by young women, and weight reduction among overweight women after menopause may reduce the risk of breast cancer.

  6. [Therapeutic advances in breast cancer].

    PubMed

    Pestalozzi, B C

    2006-04-01

    The treatment of breast cancer has made significant improvements during the past ten years. For early breast cancer with a clinically negative axilla sentinel node biopsy has become the preferred approach. For endocrine therapy of postmenopausal patients the selective aromatase inhibitors have become standard in metastatic as well as in early breast cancer. Trastuzumab (Herceptin) plays an important role in the treatment of HER2-positive breast cancer in the metastatic and since 2005 also in the adjuvant setting. When chemotherapy is used to treat metastatic breast cancer drug combinations are superior to monotherapy only in terms of response rates. By contrast, in the adjuvant setting combination drug therapy is the standard. New methods of tissue analysis including expression patterns of mRNA and proteins are promising research strategies to further advance the field.

  7. Building a Better Model: A Personalized Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Improve Application of Resources

    DTIC Science & Technology

    2015-12-01

    information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and...breast cancer risk factors and digital mammogram files for women diagnosed with breast cancer using existing data sources and match them to controls...validate database with existing data (months 3-6) HARVEY Completed. 5a. Link existing radiology data sets with Clinical Data Repository (month 3-4). Our

  8. Building a Better Model: A Personalized Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Improve Application of Resources

    DTIC Science & Technology

    2015-12-01

    searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments...cohort of women with known breast cancer risk factors and digital mammogram files for women diagnosed with breast cancer using existing data sources...compared other factors such as high body mass index Task 5: Populate and validate database with existing data (months 3-6) HARVEY Completed. 5a. Link

  9. Is tail vein injection a relevant breast cancer lung metastasis model?

    PubMed Central

    Rashid, Omar M.; Nagahashi, Masayuki; Ramachandran, Suburamaniam; Dumur, Catherine I.; Schaum, Julia C.; Yamada, Akimitsu; Aoyagi, Tomoyoshi; Milstien, Sheldon; Spiegel, Sarah

    2013-01-01

    Background Two most commonly used animal models for studying breast cancer lung metastasis are: lung metastasis after orthotopic implantation of cells into the mammary gland, and lung implantations produced after tail vein (TV) injection of cells. Tail vein injection can produce lung lesions faster, but little has been studied regarding the differences between these tumors, thus, we examined their morphology and gene expression profiles. Methods Syngeneic murine mammary adenocarcinoma, 4T1-luc2 cells, were implanted either subcutaneously (Sq), orthotopically (OS), or injected via TV in Balb/c mice. Genome-wide microarray analyses of cultured 4T1 cells, Sq tumor, OS tumor, lung metastases after OS (LMet), and lung tumors after TV (TVt) were performed 10 days after implantation. Results Bioluminescence analysis demonstrated different morphology of metastases between LMet and TVt, confirmed by histology. Gene expression profile of cells were significantly different from tumors, OS, Sq, TVt or LMet (10,350 probe sets; FDR≤1%; P<0.0001). Sq tumors were significantly different than OS tumors (700 probe sets; FDR≤15%; P<0.01), and both tumor types (Sq and OS) were significantly different than LMet (1,247 probe sets; >1.5-fold-change; P<0.01), with no significant difference between TVt and LMet. Conclusions There were significant differences between the gene profiles of cells in culture and OS versus LMet, but there were no differences between LMet versus TVt. Therefore, the lung tumor generated by TVt can be considered genetically similar to those produced after OS, and thus TVt is a relevant model for breast cancer lung metastasis. PMID:23991292

  10. Addition of Carboplatin to Neoadjuvant Therapy for Triple-negative and HER2-positive Early Breast Cancer

    ClinicalTrials.gov

    2016-02-12

    Tubular Breast Cancer Stage II; Mucinous Breast Cancer Stage II; Breast Cancer Female NOS; Invasive Ductal Breast Cancer; Tubular Breast Cancer Stage III; HER-2 Positive Breast Cancer; Inflammatory Breast Cancer Stage IV; Inflammatory Breast Cancer

  11. Targeting Metabolic Remodeling in Triple Negative Breast Cancer in a Murine Model

    PubMed Central

    García-Castillo, Verónica; López-Urrutia, Eduardo; Villanueva-Sánchez, Octavio; Ávila-Rodríguez, Miguel Á.; Zentella-Dehesa, Alejandro; Cortés-González, Carlo; López-Camarillo, César; Jacobo-Herrera, Nadia J; Pérez-Plasencia, Carlos

    2017-01-01

    Background: Chemotherapy is the backbone of systemic treatment for triple negative breast cancer (TNBC), which is one of the most relevant breast cancers molecular types due to the ability of tumor cells to develop drug resistance, highlighting the urgent need to design newer and safer drug combinations for treatment. In this context, to overcome tumor cell drug resistance, we employed a novel combinatorial treatment including Doxorubicin, Metformin, and Sodium Oxamate (DoxMetOx). Such pharmacological combination targets indispensable hallmarks of cancer-related to aerobic glycolysis and DNA synthesis. Materials and Methods: Thirty-five female nude mice were transplanted subcutaneously with MDA-MB-231 triple negative human cancer cell line. Once tumors were visible, mice were treated with doxorubicin, metformin, oxamate or all possible pharmacologic combinations. Treatments were administered daily for 15 days and tumors were measured by calipers every day. MicroPET images were taken in three different occasions, basal state, in the middle of the treatment, and at the end of treatment. Western blot analyses, qRT-PCR, flow cytometry, and cytotoxicity assays were performed to elucidate the mechanism of cell death promoted by the drugs in vitro. Results: In this work we assessed the proof of concept of metabolic correction in solid tumors as an effective drug treatment; hence, mice bearing tumors treated with the DoxMetOx therapy showed a complete inhibition of the tumor mass growing in 15 days of treatment depicted by the micro PET images. In vitro studies displayed that the three drugs together act by inhibiting both, mTOR-phosphorylation and expression of LDH-A gene, promoting apoptosis via dependent on the caspase-3 pathway, accompanied by cleavage of PARP. Moreover, induction of autophagy process was observed by the accumulation of LC3-II, a primordial protein implicated in the conformation and elongation of the autophagolysosome. Conclusions: The lack of

  12. What Are the Key Statistics about Breast Cancer in Men?

    MedlinePlus

    ... in Men What Are the Key Statistics About Breast Cancer in Men? The American Cancer Society estimates for ... Treatment in Breast Cancer in Men? More In Breast Cancer In Men About Breast Cancer in Men Causes, ...

  13. Exercise Intervention in Targeting Adiposity and Inflammation With Movement to Improve Prognosis in Breast Cancer

    ClinicalTrials.gov

    2017-03-21

    Cancer Survivor; Central Obesity; Estrogen Receptor Positive; Postmenopausal; Progesterone Receptor Positive; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  14. Optimal breast cancer pathology manifesto.

    PubMed

    Tot, T; Viale, G; Rutgers, E; Bergsten-Nordström, E; Costa, A

    2015-11-01

    This manifesto was prepared by a European Breast Cancer (EBC) Council working group and launched at the European Breast Cancer Conference in Glasgow on 20 March 2014. It sets out optimal technical and organisational requirements for a breast cancer pathology service, in the light of concerns about variability and lack of patient-centred focus. It is not a guideline about how pathology services should be performed. It is a call for all in the cancer community--pathologists, oncologists, patient advocates, health administrators and policymakers--to check that services are available that serve the needs of patients in a high quality, timely way.

  15. Biomarkers in Tissue Samples From Patients With Newly Diagnosed Breast Cancer Treated With Zoledronic Acid

    ClinicalTrials.gov

    2016-07-12

    Estrogen Receptor-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Progesterone Receptor-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  16. Neo-adjuvant Therapy With Anastrozole Plus Pazopanib in Stage II and III ER+ Breast Cancer

    ClinicalTrials.gov

    2016-05-24

    Estrogen Receptor-positive Breast Cancer; Human Epidermal Growth Factor 2 Negative Carcinoma of Breast; Male Breast Cancer; Recurrent Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer

  17. Mammographic density, lobular involution, and risk of breast cancer

    PubMed Central

    Ginsburg, O M; Martin, L J; Boyd, N F

    2008-01-01

    In this review, we propose that age-related changes in mammographic density and breast tissue involution are closely related phenomena, and consider their potential relevance to the aetiology of breast cancer. We propose that the reduction in mammographic density that occurs with increasing age, parity and menopause reflects the involution of breast tissue. We further propose that age-related changes in both mammographic density and breast tissue composition are observable and measurable phenomena that resemble Pike's theoretical construct of ‘breast tissue ageing'. Extensive mammographic density and delayed breast involution are both associated with an increased risk of breast cancer and are consistent with the hypothesis of the Pike model that cumulative exposure of breast tissue to hormones and growth factors that stimulate cell division, as well as the accumulation of genetic damage in breast cells, are major determinants of breast cancer incidence. PMID:18781174

  18. Breast Cancer: Epidemiology and Etiology.

    PubMed

    Tao, ZiQi; Shi, Aimin; Lu, Cuntao; Song, Tao; Zhang, Zhengguo; Zhao, Jing

    2015-06-01

    Breast cancer, the most frequently occurring cancer in women, is a major public health problem, with 1,384,155 estimated new cases worldwide with nearly 459,000 related deaths. Breast cancer is highly heterogeneous in its pathological characteristics, some cases showing slow growth with excellent prognosis, while others being aggressive tumors. Current predictions and statistics suggest that both worldwide incidence of breast cancer and related mortality are on the rise. According to 2012 GLOBOCAN statistics, nearly 1.7 million women were diagnosed with breast cancer with 522,000 related deaths-an increase in breast cancer incidence and related mortality by nearly 18 % from 2008. According to American Cancer Society, one in eight women in the United States will develop breast cancer in her lifetime. It has been predicted that the worldwide incidence of female breast cancer will reach approximately 3.2 million new cases per year by 2050. These numbers reflect the magnitude of breast cancer incidence, its effect on society worldwide and the need for urgency for preventive and treatment measures. While technological advances in medical sciences and health care have made it possible to detect the disease early and to start the treatment early on to prevent the progress of the disease into a metastatic state, there are several unanswered questions with regard to the molecular mechanisms that underlie the aggressiveness of certain forms of this disease. Epidemiological studies suggest that addressing socio economical issues is utmost important, so that all women have equal access to medical care from screening to advanced treatment, and only such decisive action can help reduce the worldwide burden of breast cancer.

  19. SYMPATHETIC INNERVATION, NOREPINEPHRINE CONTENT, AND NOREPINEPHRINE TURNOVER IN ORTHOTOPIC AND SPONTANEOUS MODELS OF BREAST CANCER

    PubMed Central

    Dawes, Ryan P.; Madden, Kelley S.

    2016-01-01

    Activation of the sympathetic nervous system (SNS) drives breast cancer progression in preclinical breast cancer models, but it has yet to be established if neoplastic and stromal cells residing in the tumor are directly targeted by locally released norepinephrine (NE). In murine orthotopic and spontaneous mammary tumors, tyrosine hydroxylase (TH)+ sympathetic nerves were limited to the periphery of the tumor. No TH+ staining was detected deeper within these tumors, even in regions with a high density of blood vessels. NE concentration was much lower in tumors compared to the more densely innervated spleen, reflecting the relative paucity of tumor TH+ innervation. Tumor and spleen NE concentration decreased with increased tissue mass. In mice treated with the neurotoxin 6-hydroxydopamine (6-OHDA) to selectively destroy sympathetic nerves, tumor NE concentration was reduced approximately 50%, suggesting that the majority of tumor NE is derived from local sympathetic nerves. To evaluate NE utilization, NE turnover in orthotopic 4T1 mammary tumors was compared to spleen under baseline and stress conditions. In non-stressed mice, NE turnover was equivalent between tumor and spleen. In mice exposed to a stressor, tumor NE turnover was increased compared to spleen NE turnover, and compared to non-stressed tumor NE turnover. Together, these results demonstrate that NE in mammary tumors is derived from local sympathetic nerves that synthesize and metabolize NE. However, differences between spleen and tumor NE turnover with stressor exposure suggest that sympathetic NE release is regulated differently within the tumor microenvironment compared to the spleen. Local mammary tumor sympathetic innervation, despite its limited distribution, is responsive to stressor exposure and therefore can contribute to stress-induced tumor progression. PMID:26718447

  20. Sympathetic innervation, norepinephrine content, and norepinephrine turnover in orthotopic and spontaneous models of breast cancer.

    PubMed

    Szpunar, Mercedes J; Belcher, Elizabeth K; Dawes, Ryan P; Madden, Kelley S

    2016-03-01

    Activation of the sympathetic nervous system (SNS) drives breast cancer progression in preclinical breast cancer models, but it has yet to be established if neoplastic and stromal cells residing in the tumor are directly targeted by locally released norepinephrine (NE). In murine orthotopic and spontaneous mammary tumors, tyrosine hydroxylase (TH)+ sympathetic nerves were limited to the periphery of the tumor. No TH+ staining was detected deeper within these tumors, even in regions with a high density of blood vessels. NE concentration was much lower in tumors compared to the more densely innervated spleen, reflecting the relative paucity of tumor TH+ innervation. Tumor and spleen NE concentration decreased with increased tissue mass. In mice treated with the neurotoxin 6-hydroxydopamine (6-OHDA) to selectively destroy sympathetic nerves, tumor NE concentration was reduced approximately 50%, suggesting that the majority of tumor NE is derived from local sympathetic nerves. To evaluate NE utilization, NE turnover in orthotopic 4T1 mammary tumors was compared to spleen under baseline and stress conditions. In non-stressed mice, NE turnover was equivalent between tumor and spleen. In mice exposed to a stressor, tumor NE turnover was increased compared to spleen NE turnover, and compared to non-stressed tumor NE turnover. Together, these results demonstrate that NE in mammary tumors is derived from local sympathetic nerves that synthesize and metabolize NE. However, differences between spleen and tumor NE turnover with stressor exposure suggest that sympathetic NE release is regulated differently within the tumor microenvironment compared to the spleen. Local mammary tumor sympathetic innervation, despite its limited distribution, is responsive to stressor exposure and therefore can contribute to stress-induced tumor progression.

  1. Oncolytic virotherapy of breast cancer.

    PubMed

    Hartkopf, Andreas D; Fehm, Tanja; Wallwiener, Diethelm; Lauer, Ulrich M

    2011-10-01

    The use of replication competent viruses that selectively target and destroy cancer cells has rapidly evolved over the past decade and numerous innovative oncolytic viruses have been created. Many of these promising anti-cancer agents have recently entered into clinical trials (including those on breast cancer) and demonstrated encouraging safety and efficacy. Virotherapeutic strategies are thus of considerable interest to combat breast cancer in both (i) the primary disease situation in which relapse should be avoided as good as possible and (ii) in the metastatic situation which remains incurable to date. Here, we summarize data from preclinical and clinical trials using oncolytic virotherapy to treat breast cancer. This includes strategies to specifically target breast cancer cells, to arm oncolytic viruses with additional therapeutic transgenes and an outlining of future challenges when translating these promising therapeutics "from bench to bedside".

  2. Aluminium, antiperspirants and breast cancer.

    PubMed

    Darbre, P D

    2005-09-01

    Aluminium salts are used as the active antiperspirant agent in underarm cosmetics, but the effects of widespread, long term and increasing use remain unknown, especially in relation to the breast, which is a local area of application. Clinical studies showing a disproportionately high incidence of breast cancer in the upper outer quadrant of the breast together with reports of genomic instability in outer quadrants of the breast provide supporting evidence for a role for locally applied cosmetic chemicals in the development of breast cancer. Aluminium is known to have a genotoxic profile, capable of causing both DNA alterations and epigenetic effects, and this would be consistent with a potential role in breast cancer if such effects occurred in breast cells. Oestrogen is a well established influence in breast cancer and its action, dependent on intracellular receptors which function as ligand-activated zinc finger transcription factors, suggests one possible point of interference from aluminium. Results reported here demonstrate that aluminium in the form of aluminium chloride or aluminium chlorhydrate can interfere with the function of oestrogen receptors of MCF7 human breast cancer cells both in terms of ligand binding and in terms of oestrogen-regulated reporter gene expression. This adds aluminium to the increasing list of metals capable of interfering with oestrogen action and termed metalloestrogens. Further studies are now needed to identify the molecular basis of this action, the longer term effects of aluminium exposure and whether aluminium can cause aberrations to other signalling pathways in breast cells. Given the wide exposure of the human population to antiperspirants, it will be important to establish dermal absorption in the local area of the breast and whether long term low level absorption could play a role in the increasing incidence of breast cancer.

  3. Dynamic transcription factor networks in epithelial-mesenchymal transition in breast cancer models.

    PubMed

    Siletz, Anaar; Schnabel, Michael; Kniazeva, Ekaterina; Schumacher, Andrew J; Shin, Seungjin; Jeruss, Jacqueline S; Shea, Lonnie D

    2013-01-01

    The epithelial-mesenchymal transition (EMT) is a complex change in cell differentiation that allows breast carcinoma cells to acquire invasive properties. EMT involves a cascade of regulatory changes that destabilize the epithelial phenotype and allow mesenchymal features to manifest. As transcription factors (TFs) are upstream effectors of the genome-wide expression changes that result in phenotypic change, understanding the sequential changes in TF activity during EMT provides rich information on the mechanism of this process. Because molecular interactions will vary as cells progress from an epithelial to a mesenchymal differentiation program, dynamic networks are needed to capture the changing context of molecular processes. In this study we applied an emerging high-throughput, dynamic TF activity array to define TF activity network changes in three cell-based models of EMT in breast cancer based on HMLE Twist ER and MCF-7 mammary epithelial cells. The TF array distinguished conserved from model-specific TF activity changes in the three models. Time-dependent data was used to identify pairs of TF activities with significant positive or negative correlation, indicative of interdependent TF activity throughout the six-day study period. Dynamic TF activity patterns were clustered into groups of TFs that change along a time course of gene expression changes and acquisition of invasive capacity. Time-dependent TF activity data was combined with prior knowledge of TF interactions to construct dynamic models of TF activity networks as epithelial cells acquire invasive characteristics. These analyses show EMT from a unique and targetable vantage and may ultimately contribute to diagnosis and therapy.

  4. Antitumor and antimetastatic activities of a novel benzothiazole-2-thiol derivative in a murine model of breast cancer.

    PubMed

    Hu, XiaoLin; Li, Sen; He, Yan; Ai, Ping; Wu, Shaoyong; Su, Yonglin; Li, Xiaolin; Cai, Lei; Peng, Xingchen

    2017-01-02

    The prognosis of metastatic breast cancer is always very poor. Thus, it is urgent to develop novel drugs with less toxicity against metastatic breast cancer. A new drug (XC-591) derived from benzothiazole-2-thiol was designed and synthesized in our lab. In this study, we tried to assess effects of XC-591 treatment on primary breast cancer and pulmonary metastasis in 4T1 mice model. Furthermore, we tried to discover its possible molecular mechanism of action. MTT experiment showed XC-591 had significant anti-cancer activity on diverse cancer cells. Furthermore, XC-591 significantly suppressed the proliferation of 4T1 cells by colony formation assay. The in vivo results displayed that XC-591 could inhibit the growth and metastasis in 4T1 model. Moreover, histological analysis revealed that XC-591 treatment increased apoptosis, inhibited proliferation and angiogenesis in vivo. In addition, XC-591 did not contribute to obvious drug associated toxicity during the whole study. Molecular mechanism showed XC-591 could inhibit RhoGDI, activate caspase-3 and decrease phosphorylated Akt. The present data may be important to further explore this kind of new small-molecule inhibitor.

  5. The Biology of Breast Cancer Metastasis

    DTIC Science & Technology

    2002-10-01

    Breast cancer is the second most common cause of brain metastases, diagnosed in 10 to 15% of breast cancer patients and found at autopsy in 20 to 30...Relatively little is known about how breast cancer cells metastasize to the brain , and what phenotypes characterize these cells. This is due in...breast cancer brain metastases, using intra-carotid artery injection of breast cancer cells into nude mice.

  6. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Time-lapse exposure depicts Bioreactor rotation. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunourous tissues.

  7. Integrated Immunotherapy for Breast Cancer

    DTIC Science & Technology

    2014-09-01

    2 AD_________________ Award Number: W81XWH-12-1-0366 TITLE: Integrated Immunotherapy for Breast Cancer PRINCIPAL...31Aug2014 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Integrated Immunotherapy for Breast Cancer 5b. GRANT NUMBER W81XWH-12-1-0366 5c. PROGRAM... immunotherapy , tumor microenvironment, dendritic cells, metastasis, cancer stroma. 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18

  8. Aromatase, Aromatase Inhibitors, and Breast Cancer

    PubMed Central

    Chumsri, Saranya; Howes, Timothy; Bao, Ting; Sabnis, Gauri; Brodie, Angela

    2011-01-01

    Estrogens are known to be important in the growth of breast cancers in both pre- and postmenopausal women. As the number of breast cancer patients increases with age, the majority of breast cancer patients are postmenopausal women. Although estrogens are no longer made in the ovaries after menopause, peripheral tissues produce sufficient concentrations to stimulate tumor growth. As aromatase catalyzes the final and rate-limiting step in the biosynthesis of estrogen, inhibitors of this enzyme are effective targeted therapy for breast cancer. Three aromatase inhibitors (AIs) are now FDA approved and have been shown to be more effective than the antiestrogen tamoxifen and are well tolerated. AIs are now a standard treatment for postmenopausal patients. AIs are effective in adjuvant and first-line metastatic setting. This review describes the development of AIs and their current use in breast cancer. Recent research focuses on elucidating mechanisms of acquired resistance that may develop in some patients with long term AI treatment and also on innate resistance. Preclinical data in resistance models demonstrated that the crosstalk between ER and other signaling pathways particularly MAPK and PI3K/Akt is an important resistant mechanism. Blockade of these other signaling pathways is an attractive strategy to circumvent the resistance to AI therapy in breast cancer. Several clinical trials are ongoing to evaluate the role of these novel targeted therapies to reverse resistance to AIs. PMID:21335088

  9. A Physical Mechanism and Global Quantification of Breast Cancer

    PubMed Central

    Yu, Chong; Wang, Jin

    2016-01-01

    Initiation and progression of cancer depend on many factors. Those on the genetic level are often considered crucial. To gain insight into the physical mechanisms of breast cancer, we construct a gene regulatory network (GRN) which reflects both genetic and environmental aspects of breast cancer. The construction of the GRN is based on available experimental data. Three basins of attraction, representing the normal, premalignant and cancer states respectively, were found on the phenotypic landscape. The progression of breast cancer can be seen as switching transitions between different state basins. We quantified the stabilities and kinetic paths of the three state basins to uncover the biological process of breast cancer formation. The gene expression levels at each state were obtained, which can be tested directly in experiments. Furthermore, by performing global sensitivity analysis on the landscape topography, six key genes (HER2, MDM2, TP53, BRCA1, ATM, CDK2) and four regulations (HER2⊣TP53, CDK2⊣BRCA1, ATM→MDM2, TP53→ATM) were identified as being critical for breast cancer. Interestingly, HER2 and MDM2 are the most popular targets for treating breast cancer. BRCA1 and TP53 are the most important oncogene of breast cancer and tumor suppressor gene, respectively. This further validates the feasibility of our model and the reliability of our prediction results. The regulation ATM→MDM2 has been extensive studied on DNA damage but not on breast cancer. We notice the importance of ATM→MDM2 on breast cancer. Previous studies of breast cancer have often focused on individual genes and the anti-cancer drugs are mainly used to target the individual genes. Our results show that the network-based strategy is more effective on treating breast cancer. The landscape approach serves as a new strategy for analyzing breast cancer on both the genetic and epigenetic levels and can help on designing network based medicine for breast cancer. PMID:27410227

  10. [Radiotherapy of breast cancer].

    PubMed

    Hennequin, C; Barillot, I; Azria, D; Belkacémi, Y; Bollet, M; Chauvet, B; Cowen, D; Cutuli, B; Fourquet, A; Hannoun-Lévi, J M; Leblanc, M; Mahé, M A

    2016-09-01

    In breast cancer, radiotherapy is an essential component of the treatment. After conservative surgery for an infiltrating carcinoma, radiotherapy must be systematically performed, regardless of the characteristics of the disease, because it decreases the rate of local recurrence and by this way, specific mortality. Partial breast irradiation could not be proposed routinely but only in very selected and informed patients. For ductal carcinoma in situ, adjuvant radiotherapy must be also systematically performed after lumpectomy. After mastectomy, chest wall irradiation is required for pT3-T4 tumours and if there is an axillary nodal involvement, whatever the number of involved lymph nodes. After neo-adjuvant chemotherapy and mastectomy, in case of pN0 disease, chest wall irradiation is recommended if there is a clinically or radiologically T3-T4 or node positive disease before chemotherapy. Axillary irradiation is recommended only if there is no axillary surgical dissection and a positive sentinel lymph node. Supra and infra-clavicular irradiation is advised in case of positive axillary nodes. Internal mammary irradiation must be discussed case by case, according to the benefit/risk ratio (cardiac toxicity). Dose to the chest wall or the breast must be between 45-50Gy with a conventional fractionation. A boost dose over the tumour bed is required if the patient is younger than 60 years old. Hypofractionation (42.5 Gy in 16 fractions, or 41.6 Gy en 13 or 40 Gy en 15) is possible after tumorectomy and if a nodal irradiation is not mandatory. Delineation of the breast, the chest wall and the nodal areas are based on clinical and radiological evaluations. 3D-conformal irradiation is the recommended technique, intensity-modulated radiotherapy must be proposed only in case of specific clinical situations. Respiratory gating could be useful to decrease the cardiac dose. Concomitant administration of chemotherapy in unadvised, but hormonal treatment could be start with

  11. Breast cancer-associated metastasis is significantly increased in a model of autoimmune arthritis

    PubMed Central

    Das Roy, Lopamudra; Pathangey, Latha B; Tinder, Teresa L; Schettini, Jorge L; Gruber, Helen E; Mukherjee, Pinku

    2009-01-01

    Introduction Sites of chronic inflammation are often associated with the establishment and growth of various malignancies including breast cancer. A common inflammatory condition in humans is autoimmune arthritis (AA) that causes inflammation and deformity of the joints. Other systemic effects associated with arthritis include increased cellular infiltration and inflammation of the lungs. Several studies have reported statistically significant risk ratios between AA and breast cancer. Despite this knowledge, available for a decade, it has never been questioned if the site of chronic inflammation linked to AA creates a milieu that attracts tumor cells to home and grow in the inflamed bones and lungs which are frequent sites of breast cancer metastasis. Methods To determine if chronic inflammation induced by autoimmune arthritis contributes to increased breast cancer-associated metastasis, we generated mammary gland tumors in SKG mice that were genetically prone to develop AA. Two breast cancer cell lines, one highly metastatic (4T1) and the other non-metastatic (TUBO) were used to generate the tumors in the mammary fat pad. Lung and bone metastasis and the associated inflammatory milieu were evaluated in the arthritic versus the non-arthritic mice. Results We report a three-fold increase in lung metastasis and a significant increase in the incidence of bone metastasis in the pro-arthritic and arthritic mice compared to non-arthritic control mice. We also report that the metastatic breast cancer cells augment the severity of arthritis resulting in a vicious cycle that increases both bone destruction and metastasis. Enhanced neutrophilic and granulocytic infiltration in lungs and bone of the pro-arthritic and arthritic mice and subsequent increase in circulating levels of proinflammatory cytokines, such as macrophage colony stimulating factor (M-CSF), interleukin-17 (IL-17), interleukin-6 (IL-6), vascular endothelial growth factor (VEGF), and tumor necrosis factor

  12. Formal modeling and analysis of ER-α associated Biological Regulatory Network in breast cancer

    PubMed Central

    Tareen, Samar H.K.; Siddiqa, Amnah; Bibi, Zurah; Ahmad, Jamil

    2016-01-01

    Background Breast cancer (BC) is one of the leading cause of death among females worldwide. The increasing incidence of BC is due to various genetic and environmental changes which lead to the disruption of cellular signaling network(s). It is a complex disease in which several interlinking signaling cascades play a crucial role in establishing a complex regulatory network. The logical modeling approach of René Thomas has been applied to analyze the behavior of estrogen receptor-alpha (ER-α) associated Biological Regulatory Network (BRN) for a small part of complex events that leads to BC metastasis. Methods A discrete model was constructed using the kinetic logic formalism and its set of logical parameters were obtained using the model checking technique implemented in the SMBioNet software which is consistent with biological observations. The discrete model was further enriched with continuous dynamics by converting it into an equivalent Petri Net (PN) to analyze the logical parameters of the involved entities. Results In-silico based discrete and continuous modeling of ER-α associated signaling network involved in BC provides information about behaviors and gene-gene interaction in detail. The dynamics of discrete model revealed, imperative behaviors represented as cyclic paths and trajectories leading to pathogenic states such as metastasis. Results suggest that the increased expressions of receptors ER-α, IGF-1R and EGFR slow down the activity of tumor suppressor genes (TSGs) such as BRCA1, p53 and Mdm2 which can lead to metastasis. Therefore, IGF-1R and EGFR are considered as important inhibitory targets to control the metastasis in BC. Conclusion The in-silico approaches allow us to increase our understanding of the functional properties of living organisms. It opens new avenues of investigations of multiple inhibitory targets (ER-α, IGF-1R and EGFR) for wet lab experiments as well as provided valuable insights in the treatment of cancers such as BC

  13. Genomic Analyses as a Guide to Target Identification and Preclinical Testing of Mouse Models of Breast Cancer

    PubMed Central

    Bennett, Christina N; Green, Jeffrey E.

    2012-01-01

    Cross-species genomic analyses have proven useful for identifying common genomic alterations that occur in human cancers and mouse models designed to recapitulate human tumor development. High-throughput molecular analyses provide a valuable tool for identifying particular animal models that may represent aspects of specific subtypes of human cancers. Corresponding alterations in gene copy number and expression in tumors from mouse and human suggest that these conserved changes may be mechanistically essential for cancer development and progression, and therefore, they may be critical targets for therapeutic intervention. Using a cross-species analysis approach, mouse models in which the functions of p53, Rb, and BRCA1 have been disrupted demonstrate molecular features of human, triple-negative (ER-, PR-, and ERBB2-), basal-type breast cancer. Using mouse tumor models based on the targeted abrogation of p53 and Rb function, we identified a large, integrated genetic network that correlates to poor outcome in several human epithelial cancers. This gene signature is highly enriched for genes involved in DNA replication and repair, chromosome maintenance, cell cycle regulation, and apoptosis. Current studies are determining whether inactivation of specific members within this signature, using drugs or siRNA, will identify potentially important new targets to inhibit triple-negative, basal-type breast cancer for which no targeted therapies currently exist. PMID:20080934

  14. Optimization, pharmacophore modeling and 3D-QSAR studies of sipholanes as breast cancer migration and proliferation inhibitors.

    PubMed

    Foudah, Ahmed I; Sallam, Asmaa A; Akl, Mohamed R; El Sayed, Khalid A

    2014-02-12

    Sipholenol A, a triterpene isolated from the Red Sea sponge Callyspongia siphonella, was previously shown to reverse multidrug resistance in P-glycoprotein-overexpressing cancer cells. Moreover, sipholanes showed promising in vitro inhibitory effects against the invasion and migration of the metastatic human breast cancer cell line MDA-MB-231. The breast tumor kinase (Brk), a mediator of cancer cell phenotypes important for proliferation, survival, and migration, was proposed as a potential target. This study reports additional semisynthetic optimization of sipholenol A esters to improve the breast cancer antimigratory and antiproliferative activities as well as Brk phosphorylation inhibition. Fifteen new sipholenol A analogs (25-39) were semisynthesized. Sipholenol A 4β-4',5'-dichlorobenzoate ester (29) was the most potent, with an IC50 value of 1.3 μM in the migration assay. The level of Brk phosphorylation inhibition of 29 was assessed using the Z'-LYTE™ kinase assay and Western blot analysis. Active analogs showed no toxicity on the non-tumorigenic epithelial breast cell line MCF10A at doses equal to their IC50 values or higher in migration and proliferation assays, suggesting their selectivity towards malignant cells. Pharmacophore modeling and 3D-QSAR studies were conducted to identify important pharmacophoric features and correlate 3D-chemical structure with activity. These studies provided the evidence for future design of novel antimigratory compounds based on a simplified sipholane structure possessing rings A and B (perhydrobenzoxepine) connected to substituted aromatic esters, with the elimination of rings C and D ([5,3,0]bicyclodecane system). This will enable the future synthesis of the new active entities feasibly and cost-effectively. These results demonstrate the potential of marine natural products for the discovery of novel scaffolds for the control and management of metastatic breast cancer.

  15. A Conceptual Model of Psychoneurological Symptom Cluster Variation in Women with Breast Cancer: Bringing Nursing Research to Personalized Medicine

    PubMed Central

    Starkweather, Angela R.; Lyon, Debra E.; Elswick, R. K.; Montpetit, Alison J.; Conley, Yvette; McCain, Nancy L.

    2013-01-01

    Personalized medicine applies knowledge about the patient’s individual characteristics in relation to health and intervention outcomes, including treatment response and adverse side-effects, to develop a tailored treatment plan. For women with breast cancer, personalized medicine has substantially improved the rate of survival, however, a high proportion of these women report multiple, co-occurring psychoneurological symptoms over the treatment trajectory that adversely affect their quality of life. In a subset of these women, co-occurring symptoms referred to as symptoms clusters, can persist long after treatment has ended. Over the past decade, research from the field of nursing and other health sciences has specifically examined the potential underlying mechanisms of the psychoneurological symptom cluster in women with breast cancer. Recent findings suggest that epigenetic and genomic factors contribute to inter-individual variability in the experience of psychoneurological symptoms during and after breast cancer treatment. While nursing research has been underrepresented in the field of personalized medicine, these studies represent a shared goal; that is, to improve patient outcomes by considering the individual’s risk of short- and long-term adverse symptoms. The aim of this paper is to introduce a conceptual model of the individual variations that influence psychoneurological symptoms in women with breast cancer, including perceived stress, hypothalamic-pituitary adrenocortical axis dysfunction, inflammation, as well as epigenetic and genomic factors. The proposed concepts will help bring nursing research and personalized medicine together, in hopes that this hitherto neglected and understudied area of biomedical research convergence may ultimately lead to the development of more targeted clinical nursing strategies in breast cancer patients with psychoneurological symptoms. PMID:24497894

  16. Trastuzumab and docetaxel in a preclinical organotypic breast cancer model using tissue slices from mammary fat pad: Translational relevance

    PubMed Central

    VESCI, LOREDANA; CAROLLO, VALERIA; ROSCILLI, GIUSEPPE; AURISICCHIO, LUIGI; FERRARA, FABIANA FOSCA; SPAGNOLI, LUIGI; DE SANTIS, RITA

    2015-01-01

    With the ever-increasing number of drugs approved to treat cancers, selection of the optimal treatment regimen for an individual patient is challenging. Breast cancer complexity requires novel predictive methods and tools. In the present study, we set up experimental conditions to obtain an 'ex vivo' organotypic culture from xenotransplanted mice aiming at recapitulating the human clinical condition. The effect of trastuzumab (large biological molecule) and docetaxel (small chemical entity) was subsequently investigated on this organotypic model and compared with in vivo and in vitro activity on tumor cells. Tissue slices of 200 µm were obtained from mammary fat pad of SCID mice xenotransplanted with human MCF-7 breast cancer cells. Viability and proliferation were evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) colorimetric assay and Ki-67 immunohistochemistry,and apoptosis by cleaved caspase-3 immunohistochemistry. In vivo antitumor activity of trastuzumab and docetaxel was determined by caliper measurement of tumor volume and Ki-67 expression on explanted masses by immunohistochemistry. A Teflon support and normoxia were necessary experimental conditions to obtain high viability of excised breast cancer infiltrated mammary fat pad slices upon 48 h cultivation, as shown by MTT proliferation assay, and Ki-67 expression. Breast cancer tissue slices treated for 48 h with trastuzumab or docetaxel showed a significant dose-dependent reduction of viability by MTT assay. Consistently, both drugs down-modulated Ki-67 and increased cleaved caspase-3. Tumor masses collected from docetaxel-or trastuzumab-treated mice showed a similar reduction of proliferation markers. By contrast, MCF-7 cell cultures were significantly inhibited by docetaxel but not by trastuzumab. Tumor tissue slices represent a more predictive experimental cancer model compared to cell cultures for both small and large molecule antitumor efficacy. This observation

  17. Trastuzumab and docetaxel in a preclinical organotypic breast cancer model using tissue slices from mammary fat pad: Translational relevance.

    PubMed

    Vesci, Loredana; Carollo, Valeria; Roscilli, Giuseppe; Aurisicchio, Luigi; Ferrara, Fabiana Fosca; Spagnoli, Luigi; De Santis, Rita

    2015-09-01

    With the ever-increasing number of drugs approved to treat cancers, selection of the optimal treatment regimen for an individual patient is challenging. Breast cancer complexity requires novel predictive methods and tools. In the present study, we set up experimental conditions to obtain an 'ex vivo' organotypic culture from xenotransplanted mice aiming at recapitulating the human clinical condition. The effect of trastuzumab (large biological molecule) and docetaxel (small chemical entity) was subsequently investigated on this organotypic model and compared with in vivo and in vitro activity on tumor cells. Tissue slices of 200 µm were obtained from mammary fat pad of SCID mice xenotransplanted with human MCF-7 breast cancer cells. Viability and proliferation were evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT) colorimetric assay and Ki-67 immunohistochemistry,and apoptosis by cleaved caspase-3 immunohistochemistry. In vivo antitumor activity of trastuzumab and docetaxel was determined by caliper measurement of tumor volume and Ki-67 expression on explanted masses by immunohistochemistry. A Teflon support and normoxia were necessary experimental conditions to obtain high viability of excised breast cancer infiltrated mammary fat pad slices upon 48 h cultivation, as shown by MTT proliferation assay, and Ki-67 expression. Breast cancer tissue slices treated for 48 h with trastuzumab or docetaxel showed a significant dose‑dependent reduction of viability by MTT assay. Consistently, both drugs down-modulated Ki-67 and increased cleaved caspase-3. Tumor masses collected from docetaxel- or trastuzumab‑treated mice showed a similar reduction of proliferation markers. By contrast, MCF-7 cell cultures were significantly inhibited by docetaxel but not by trastuzumab. Tumor tissue slices represent a more predictive experimental cancer model compared to cell cultures for both small and large molecule antitumor efficacy. This

  18. Identification of osteopontin-dependent signaling pathways in a mouse model of human breast cancer

    PubMed Central

    Mi, Zhiyong; Guo, Hongtao; Kuo, Paul C

    2009-01-01

    Background Osteopontin (OPN) is a secreted phosphoprotein which functions as a cell attachment protein and cytokine that signals through two cell adhesion molecules, αvβ3-integrin and CD44, to regulate cancer growth and metastasis. However, the signaling pathways associated with OPN have not been extensively characterized. In an in vivo xenograft model of MDA-MB-231 human breast cancer, we have previously demonstrated that ablation of circulating OPN with an RNA aptamer blocks interaction with its cell surface receptors to significantly inhibit adhesion, migration and invasion in vitro and local progression and distant metastases. Findings In this study, we performed microarray analysis to compare the transcriptomes of primary tumor in the presence and absence of aptamer ablation of OPN. The results were corroborated with RT-PCR and Western blot analysis. Our results demonstrate that ablation of OPN cell surface receptor binding is associated with significant alteration in gene and protein expression critical in apoptosis, vascular endothelial growth factor (VEGF), platelet derived growth factor (PDGF), interleukin-10 (IL-10), granulocyte-macrophage colony stimulating factor (GM-CSF) and proliferation signaling pathways. Many of these proteins have not been previously associated with OPN. Conclusion We conclude that secreted OPN regulates multiple signaling pathways critical for local tumor progression. PMID:19570203

  19. Dehydroepiandrosterone (DHEA) Feeding Protects Liver Steatosis in Obese Breast Cancer Rat Model.

    PubMed

    Hakkak, Reza; Bell, Andrea; Korourian, Soheila

    2017-03-20

    Obesity is a major health problem in the US and globally. Obesity is associated with the risk of cardiovascular disease, type 2 diabetes, cancers, hyperlipidemia, and liver steatosis development. Dehydroepiandrosterone (DHEA) is a dietary supplement used as an anti-obesity supplement. Previously, we reported that DHEA feeding protects 7,12-dimethylbenz(a)anthracene (DMBA)-induced mammary tumors. The objectives of this study were to investigate the effects of obesity and DHEA feeding on liver steatosis, body weight gain, and serum DHEA, DHEA sulfate (DHEA-S), insulin-like growth factor-1 (IGF-1), and insulin-like growth factor binding protein-3 (IGFBP-3) levels. Female Zucker rats were randomly assigned to either a control diet or a control diet with DHEA supplementation for 155 days. Livers were collected for histological examination. Serum was collected to measure DHEA, DHEA-S, IGF-1, and IGFBP-3. Our results show that DHEA-fed rats had significantly less liver steatosis (p < 0.001) than control-fed rats and gained less weight (p < 0.001). DHEA feeding caused significant decreases (p < 0.001) in the serum levels of IGF-1 and IGFBP-3 and significantly increased (p < 0.001) serum levels of DHEA and DHEA-S. Our results suggest that DHEA feeding can protect against liver steatosis by reducing body weight gain and modulating serum IGF-1 and IGFBP-3 levels in an obese breast cancer rat model.

  20. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Human primary breast tumor cells after 56 days of culture in a NASA Bioreactor. A cross-section of a construct, grown from surgical specimens of brease cancer, stained for microscopic examination, reveals areas of tumor cells dispersed throughout the non-epithelial cell background. The arrow denotes the foci of breast cancer cells. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Jearne Becker, University of South Florida

  1. MDA-7/IL-24 functions as a tumor suppressor gene in vivo in transgenic mouse models of breast cancer.

    PubMed

    Menezes, Mitchell E; Shen, Xue-Ning; Das, Swadesh K; Emdad, Luni; Guo, Chunqing; Yuan, Fang; Li, You-Jun; Archer, Michael C; Zacksenhaus, Eldad; Windle, Jolene J; Subler, Mark A; Ben-David, Yaacov; Sarkar, Devanand; Wang, Xiang-Yang; Fisher, Paul B

    2015-11-10

    Melanoma differentiation associated gene-7/Interleukin-24 (MDA-7/IL-24) is a novel member of the IL-10 gene family that selectively induces apoptosis and toxic autophagy in a broad spectrum of human cancers, including breast cancer, without harming normal cells or tissues. The ability to investigate the critical events underlying cancer initiation and progression, as well as the capacity to test the efficacy of novel therapeutics, has been significantly advanced by the development of genetically engineered mice (GEMs) that accurately recapitulate specific human cancers. We utilized three transgenic mouse models to better comprehend the in vivo role of MDA-7/IL-24 in breast cancer. Using the MMTV-PyMT spontaneous mammary tumor model, we confirmed that exogenously introducing MDA-7/IL-24 using a Cancer Terminator Virus caused a reduction in tumor burden and also produced an antitumor "bystander" effect. Next we performed xenograft studies in a newly created MMTV-MDA-7 transgenic model that over-expresses MDA-7/IL-24 in the mammary glands during pregnancy and lactation, and found that MDA-7/IL-24 overexpression delayed tumor growth following orthotopic injection of a murine PDX tumor cell line (mPDX) derived from a tumor formed in an MMTV-PyMT mouse. We also crossed the MMTV-MDA-7 line to MMTV-Erbb2 transgenic mice and found that MDA-7/IL-24 overexpression delayed the onset of mammary tumor development in this model of spontaneous mammary tumorigenesis as well. Finally, we assessed the role of MDA-7/IL-24 in immune regulation, which can potentially contribute to tumor suppression in vivo. Our findings provide further direct in vivo evidence for the role of MDA-7/IL-24 in tumor suppression in breast cancer in immune-competent transgenic mice.

  2. Oncogenic and tumor-suppressive mouse models for breast cancer engaging HER2/neu.

    PubMed

    Fry, Elizabeth A; Taneja, Pankaj; Inoue, Kazushi

    2017-02-01

    The human c-ErbB2 (HER2) gene is amplified in ∼20% of human breast cancers (BCs), but the protein is overexpressed in ∼30% of the cases indicating that multiple different mechanisms contribute to HER2 overexpression in tumors. It has long been used as a molecular marker of BC for subcategorization for the prediction of prognosis and determination of therapeutic strategies. In comparison to ER(+) BCs, HER2-positive BCs are more invasive, but the patients respond to monoclonal antibody therapy with trastuzumab or tyrosine kinase inhibitors at least at early stages. To understand the pathophysiology of HER2-driven carcinogenesis and test HER2-targeting therapeutic agents in vivo, numerous mouse models have been created that faithfully reproduce HER2(+) BCs in mice. They include MMTV-neu (active mutant or wild type, rat neu or HER2) models, neu promoter-driven neuNT-transgenic mice, neuNT-knock-in mice at the neu locus and doxycycline-inducible neuNT-transgenic models. HER2/neu activates the Phosphatidylinositol-3 kinase-AKT-NF-κB pathway to stimulate the mitogenic cyclin D1/Cdk4-Rb-E2F pathway. Of note, overexpression of HER2 also stimulates the cell autonomous Dmp1-Arf-p53 tumor suppressor pathway to quench oncogenic signals to prevent the emergence of cancer cells. Hence tumor development by MMTV-neu mice was dramatically accelerated in mice that lack Dmp1, Arf or p53 with invasion and metastasis. Expressions of neuNT under the endogenous promoter underwent gene amplification, closely recapitulating human HER2(+) BCs. MMTV-HER2 models have been shown to be useful to test humanized monoclonal antibodies to HER2. These mouse models will be useful for the screening of novel therapeutic agents against BCs with HER2 overexpression.

  3. Stabilin-1 is expressed in human breast cancer and supports tumor growth in mammary adenocarcinoma mouse model

    PubMed Central

    Riabov, Vladimir; Yin, Shuiping; Song, Bin; Avdic, Aida; Schledzewski, Kai; Ovsiy, Ilja; Gratchev, Alexei; Verdiell, Maria Llopis; Sticht, Carsten; Schmuttermaier, Christina; Schönhaber, Hiltrud; Weiss, Christel; Fields, Alan P.; Simon-Keller, Katja; Pfister, Frederick; Berlit, Sebastian; Marx, Alexander; Arnold, Bernd; Goerdt, Sergij; Kzhyshkowska, Julia

    2016-01-01

    Stabilin-1 is a multifunctional scavenger receptor expressed on alternatively-activated macrophages. Stabilin-1 mediates phagocytosis of “unwanted-self” components, intracellular sorting, and endocytic clearance of extracellular ligands including SPARC that modulates breast cancer growth. The expression of stabilin-1 was found on tumor-associated macrophages (TAM) in mouse and human cancers including melanoma, lymphoma, glioblastoma, and pancreatic insulinoma. Despite its tumor-promoting role in mouse models of melanoma and lymphoma the expression and functional role of stabilin-1 in breast cancer was unknown. Here, we demonstrate that stabilin-1 is expressed on TAM in human breast cancer, and its expression is most pronounced on stage I disease. Using stabilin-1 knockout (ko) mice we show that stabilin-1 facilitates growth of mouse TS/A mammary adenocarcinoma. Endocytosis assay on stabilin-1 ko TAM demonstrated impaired clearance of stabilin-1 ligands including SPARC that was capable of inducing cell death in TS/A cells. Affymetrix microarray analysis on purified TAM and reporter assays in stabilin-1 expressing cell lines demonstrated no influence of stabilin-1 expression on intracellular signalling. Our results suggest stabilin-1 mediated silent clearance of extracellular tumor growth-inhibiting factors (e.g. SPARC) as a mechanism of stabilin-1 induced tumor growth. Silent clearance function of stabilin-1 makes it an attractive candidate for delivery of immunomodulatory anti-cancer therapeutic drugs to TAM. PMID:27105498

  4. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Human primary breast tumor cells after 49 days of growth in a NASA Bioreactor. Tumor cells aggregate on microcarrier beads (indicated by arrow). NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Jearne Becker, University of South Florida

  5. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    High magnification of view of tumor cells aggregate on microcarrier beads, illustrting breast cells with intercellular boundaires on bead surface and aggregates of cells achieving 3-deminstional growth outward from bead after 56 days of culture in a NASA Bioreactor. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Jearne Becker, University of South Florida.

  6. Semimechanistic model to characterize nonlinear pharmacokinetics of nimotuzumab in patients with advanced breast cancer.

    PubMed

    Rodríguez-Vera, Leyanis; Ramos-Suzarte, Mayra; Fernández-Sánchez, Eduardo; Soriano, Jorge Luis; Guitart, Concepción Peraire; Hernández, Gilberto Castañeda; Jacobo-Cabral, Carlos O; de Castro Suárez, Niurys; Codina, Helena Colom

    2015-08-01

    This study aimed (1) to develop a semimechanistic pharmacokinetic (PK) model for nimotuzumab in patients with advanced breast cancer and (2) to identify demographic, biochemical, and clinical predictive factors of the PK variability. Data from a phase 1 study were analyzed using the nonlinear mixed-effects approach (NONMEM). A target-mediated disposition model that included 2 open PK compartments, the monoclonal antibody (mAb)-target binding, and target and mAb-target complex turnovers best described the linear and nonlinear PK. Covariates had no influence on the PK parameters. The final parameter estimates were 19.93 L (steady-state volume), 0.0045-0.0172 L/h (range of total clearance values), 6.96 μg/mL (steady-state binding constant), 5.50 h(-1) (target degradation rate constant), 1.43 (μg/mL) · h(-1) (complex formation rate), and 0.148 h(-1) (complex internalization rate constant). The model described the effect of the mAb-target binding, and target and mAb-target complex turnovers on nimotuzumab PK. Simulations showed that doses above 200 mg maintained the 50% target occupancy during all of the treatment. This model can be very useful for knowing the dosing schedules required for efficacy and supports further investigation of the pharmacokinetic/pharmacodynamic relationships of nimotuzumab to improve its therapeutic use.

  7. Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach

    PubMed Central

    Zhu, Changfang; Palmer, Gregory M.; Breslin, Tara M.; Harter, Josephine; Ramanujam, Nirmala

    2009-01-01

    We explore the use of Monte-Carlo-model-based approaches for the analysis of fluorescence and diffuse reflectance spectra measured ex vivo from breast tissues. These models are used to extract the absorption, scattering, and fluorescence properties of malignant and nonmalignant tissues and to diagnose breast cancer based on these intrinsic tissue properties. Absorption and scattering properties, including β-carotene concentration, total hemoglobin concentration, hemoglobin saturation, and the mean reduced scattering coefficient are derived from diffuse reflectance spectra using a previously developed Monte Carlo model of diffuse reflectance. A Monte Carlo model of fluorescence described in an earlier manuscript was employed to retrieve the intrinsic fluorescence spectra. The intrinsic fluorescence spectra were decomposed into several contributing components, which we attribute to endogenous fluorophores that may present in breast tissues including collagen, NADH, and retinol/vitamin A. The model-based approaches removes any dependency on the instrument and probe geometry. The relative fluorescence contributions of individual fluorescing components, as well as β-carotene concentration, hemoglobin saturation, and the mean reduced scattering coefficient display statistically significant differences between malignant and adipose breast tissues. The hemoglobin saturation and the reduced scattering coefficient display statistically significant differences between malignant and fibrous/benign breast tissues. A linear support vector machine classification using (1) fluorescence properties alone, (2) absorption and scattering properties alone, and (3) the combination of all tissue properties achieves comparable classification accuracies of 81 to 84% in sensitivity and 75 to 89% in specificity for discriminating malignant from nonmalignant breast tissues, suggesting each set of tissue properties are diagnostically useful for the discrimination of breast malignancy. PMID

  8. Doxorubicin Hydrochloride, Cyclophosphamide, and Filgrastim Followed By Paclitaxel Albumin-Stabilized Nanoparticle Formulation With or Without Trastuzumab in Treating Patients With Breast Cancer Previously Treated With Surgery

    ClinicalTrials.gov

    2013-05-07

    Estrogen Receptor-positive Breast Cancer; HER2-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer

  9. Do Breast Cancer Risk Factors Affect the Survival of Breast Cancer Patients in Southern Sri Lanka?

    PubMed

    Peiris, H H; Mudduwa, L K B; Thalagala, N I; Jayatilaka, K A P W

    2017-01-01

    Background: Breast cancer continues to be a major cause of morbidity among women in Sri Lanka. Possible effects of etiological risk factors on breast cancer specific survival (BCSS) of the disease is not clear.This study was designed to explore the impact of breast cancer risk factors on the BCSS of patients in Southern Sri Lanka. Method: This retro-prospective study included all breast cancer patients who had sought immunohistochemistry services at our unit from May 2006 to December 2012. A pre-tested, interviewer-administered questionnaire was used to gather information on risk factors. BCSS was estimated using the Kaplan-Meier model. Univariate Cox-regression analysis was performed with 95% confidence intervals using the SPSS statistical package. Results: A total of 944 breast cancer patients were included. Five year BCSS was 78.8%. There was a statistically significant difference between the patients who had a family history of breast cancer and no family history of any cancer in terms of the presence/absence of lymph node metastasis (p=0.011) and pathological stage (p=0.042). The majority of the premenopausal patients had associated DCIS (p<0.001) and large tumours (p=0.015) with positive lymph nodes (p=0.016). There was no statistically significant association between hormone receptor subtypes and hormone related risk factors. Univariate analysis revealed that breast cancer risk factors had no significant effect on the BCSS. Conclusion: Even though family history of breast cancer and premenopausal status are associated with poor prognostic features, they, in line with the other breast cancer risk factors, appear to have no significant effect on the BCSS of patients in Southern Sri Lanka.

  10. The landscape of chromosomal aberrations in breast cancer mouse models reveals driver-specific routes to tumorigenesis

    PubMed Central

    Ben-David, Uri; Ha, Gavin; Khadka, Prasidda; Jin, Xin; Wong, Bang; Franke, Lude; Golub, Todd R.

    2016-01-01

    Aneuploidy and copy-number alterations (CNAs) are a hallmark of human cancer. Although genetically engineered mouse models (GEMMs) are commonly used to model human cancer, their chromosomal landscapes remain underexplored. Here we use gene expression profiles to infer CNAs in 3,108 samples from 45 mouse models, providing the first comprehensive catalogue of chromosomal aberrations in cancer GEMMs. Mining this resource, we find that most chromosomal aberrations accumulate late during breast tumorigenesis, and observe marked differences in CNA prevalence between mouse mammary tumours initiated with distinct drivers. Some aberrations are recurrent and unique to specific GEMMs, suggesting distinct driver-dependent routes to tumorigenesis. Synteny-based comparison of mouse and human tumours narrows critical regions in CNAs, thereby identifying candidate driver genes. We experimentally validate that loss of Stratifin (SFN) promotes HER2-induced tumorigenesis in human cells. These results demonstrate the power of GEMM CNA analysis to inform the pathogenesis of human cancer. PMID:27374210

  11. Vitamin D enhances the efficacy of photodynamic therapy in a murine model of breast cancer

    PubMed Central

    Rollakanti, Kishore R; Anand, Sanjay; Maytin, Edward V

    2015-01-01

    Cutaneous metastasis occurs more frequently in breast cancer than in any other malignancy in women, causing significant morbidity. Photodynamic therapy (PDT), which combines a porphyrin-based photosensitizer and activation by light, can be employed for breast cancer (especially cutaneous metastases) but tumor control after PDT has not surpassed traditional treatments methods such as surgery, radiation, and chemotherapy up to now. Here, we report that breast cancer nodules in mice can be effectively treated by preconditioning the tumors with 1α, 25-dihydroxyvitamin D3 (calcitriol; Vit D) prior to administering 5-aminolevulinate (ALA)-based PDT. Breast carcinoma tumors (MDA-MB-231 cells implanted subcutaneously in nude mice) received systemic Vit D (1 μg/kg) for 3 days prior to receiving ALA. The addition of Vit D increased intratumoral accumulation of protoporphyrin IX (PpIX) by 3.3 ± 0.5-fold, relative to mice receiving ALA alone. Bioluminescence imaging in vivo and immunohistochemical staining confirmed that tumor-specific cell death after ALA-PDT was markedly enhanced (36.8 ± 7.4-fold increase in TUNEL-positive nuclei; radiance decreased to 14% of control) in Vit D pretreated tumors as compared to vehicle-pretreated tumors. Vit D stimulated proliferation (10.7 ± 2.8-fold) and differentiation (9.62 ± 1.7-fold) in tumor cells, underlying an augmented cellular sensitivity to ALA-PDT. The observed enhancement of tumor responses to ALA-PDT after low, nontoxic doses of Vit D supports a new combination approach that deserves consideration in the clinical setting, and offers potential for improved remission of cutaneous breast cancer metastases. PMID:25712788

  12. Soy Isoflavones Supplementation in Treating Women at High Risk For or With Breast Cancer

    ClinicalTrials.gov

    2017-04-08

    BRCA1 Mutation Carrier; BRCA2 Mutation Carrier; Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer

  13. Onalespib and Paclitaxel in Treating Patients With Advanced Triple Negative Breast Cancer

    ClinicalTrials.gov

    2017-02-02

    Estrogen Receptor Negative; HER2/Neu Negative; Progesterone Receptor Negative; Recurrent Breast Carcinoma; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Triple-Negative Breast Carcinoma

  14. Depression and Anxiety Disorders among Hospitalized Women with Breast Cancer

    PubMed Central

    Vin-Raviv, Neomi; Akinyemiju, Tomi F.; Galea, Sandro; Bovbjerg, Dana H.

    2015-01-01

    Purpose To document the prevalence of depression and anxiety disorders, and their associations with mortality among hospitalized breast cancer patients. Methods We examined the associations between breast cancer diagnosis and the diagnoses of anxiety or depression among 4,164 hospitalized breast cancer cases matched with 4,164 non-breast cancer controls using 2006-2009 inpatient data obtained from the Nationwide Inpatient Sample database. Conditional logistic regression models were used to compute odds ratios (ORs) and 95% confidence intervals (CI) for the associations between breast cancer diagnosis and diagnoses of anxiety or depression. We also used binary logistic regression models to examine the association between diagnoses of depression or anxiety, and in-hospital mortality among breast cancer patients. Results We observed that breast cancer cases were less likely to have a diagnosis of depression (OR=0.63, 95% CI: 0.52-0.77), and less likely to have a diagnosis of anxiety (OR=0.68, 95% CI: 0.52-0.90) compared with controls. This association remained after controlling for race/ethnicity, residential income, insurance and residential region. Breast cancer patients with a depression diagnosis also had lower mortality (OR=0.69, 95% CI: 0.52-0.89) compared with those without a depression diagnosis, but there was no significant difference in mortality among those with and without anxiety diagnoses. Conclusion Diagnoses of depression and anxiety in breast cancer patients were less prevalent than expected based on our analysis of hospitalized breast cancer patients and matched non-breast cancer controls identified in the NIS dataset using ICD-9 diagnostic codes. Results suggest that under-diagnosis of mental health problems may be common among hospitalized women with a primary diagnosis of breast cancer. Future work may fruitfully explore reasons for, and consequences of, inappropriate identification of the mental health needs of breast cancer patients. PMID

  15. Engineering a biomimetic three-dimensional nanostructured bone model for breast cancer bone metastasis study.

    PubMed

    Zhu, Wei; Wang, Mian; Fu, Yebo; Castro, Nathan J; Fu, Sidney W; Zhang, Lijie Grace

    2015-03-01

    Traditional breast cancer (BrCa) bone metastasis models contain many limitations with regards to controllability, reproducibility and flexibility of design. In this study, a novel biomimetic bone microenvironment was created by integrating hydroxyapatite (HA) and native bioactive factors deposited by osteogenic induction of human bone marrow mesenchymal stem cells (MSCs) within a cytocompatible chitosan hydrogel. It was found that a 10% nanocrystalline HA (nHA) chitosan scaffold exhibited the highest BrCa adhesion and proliferation when compared to chitosan scaffolds with 20% nHA, 10% and 20% microcrystalline HA as well as amorphous HA. This 3-D tunable bone scaffold can provide a biologically relevant environment, increase cell-cell and cell-matrix interactions as found in native bone, and retain the behavior of BrCa cells with different metastasis potential (i.e. highly metastatic MDA-MB-231, less metastatic MCF-7 and transfected MDA-MB-231). The co-culture of MSCs and MDA-MB-231 in this bone model illustrated that MSCs have the capacity to upregulate the expression of the well-known metastasis-associated gene metadherin within BrCa cells. In summary, this study illustrates the ability of our 3-D bone model to create a biomimetic environment conducive to recapitulating the behavior of metastatic BrCa cells, making it a promising tool for in vitro BrCa cell bone metastasis study and for the discovery of potential therapeutics.

  16. An estrogen model: the relationship between body mass index, menopausal status, estrogen replacement therapy, and breast cancer risk.

    PubMed

    Green, Linda E; Dinh, Tuan A; Smith, Robert A

    2012-01-01

    We present a mathematical model that lends support to the hypothesis that estrogen levels mediate the complex relationship between body mass index (BMI), menopausal status, estrogen-only hormone replacement therapy (HRT), and breast cancer risk. The model predicts a decrease in the relative risk of breast cancer of 3% per unit increase in BMI (kg/m(2)) for premenopausal women and an increase in the relative risk of 4% per unit increase in BMI for postmenopausal women who are not HRT users. When comparing postmenopausal women who use estrogen-only HRT to postmenopausal women who do not use HRT, the model predicts an increased risk of breast cancer associated with use of estrogen that diminishes with increasing BMI, with a relative risk of 1.6 for women with BMI of 18, 1.2 for women with BMI of 25, and 1.0 for women with BMI ≥ 30. Model predictions agree with data from five major epidemiological studies.

  17. A model of spontaneous mouse mammary tumor for human estrogen receptor- and progesterone receptor-negative breast cancer

    PubMed Central

    ZHENG, LIXIANG; ZHOU, BUGAO; MENG, XIANMING; ZHU, WEIFENG; ZUO, AIREN; WANG, XIAOMIN; JIANG, RUNDE; YU, SHIPING

    2014-01-01

    Breast cancer (BC) is the most frequently malignancy in women. Therefore, establishment of an animal model for the development of preventative measures and effective treatment for tumors is required. A novel heterogeneous spontaneous mammary tumor animal model of Kunming mice was generated. The purpose of this study was to characterize the spontaneous mammary tumor model. Histopathologically, invasive nodular masses of pleomorphic tubular neoplastic epithelial cells invaded fibro-vascular stroma, adjacent dermis and muscle tissue. Metastatic spread through blood vessel into liver and lungs was observed by hematoxylin eosin staining. No estrogen receptor (ER) or progesterone receptor (PR) immunoreactivity was detected in their associated malignant tumors, human epidermal growth factor receptor-2 (HER-2) protein weak expression was found by immunohistochemistry. High expression of vascular endothelial growth factor (VEGF), moderate or high expression of c-Myc and cyclin D1 were observed in tumor sections at different stages (2, 4, 6 and 8 weeks after cancer being found) when compared with that of the normal mammary glands. The result showed that the model is of an invasive ductal carcinoma. Remarkably in the mouse model, ER and PR-negative and HER2 weak positivity are observed. The high or moderate expressions of breast cancer markers (VEGF, c-Myc and cyclin D1) in mammary cancer tissue change at different stages. To our knowledge, this is the first report of a spontaneous mammary model displaying colony-strain, outbred mice. This model will be an attractive tool to understand the biology of anti-hormonal breast cancer in women. PMID:25230850

  18. Building a Better Model: A Personalized Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Improve Application of Resources

    DTIC Science & Technology

    2015-12-01

    for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data...breast cancer using existing data sources and match them to controls (Harvey/Knaus). Validate and refine automated breast density software (Yaffe...validate database with existing data (months 3-6) HARVEY Completed. 5a. Link existing radiology data sets with Clinical Data Repository (month 3-4

  19. Survivorship Care Plan in Promoting Physical Activity in Breast or Colorectal Cancer Survivors in Wisconsin

    ClinicalTrials.gov

    2016-08-19

    Cancer Survivor; Healthy Subject; Stage I Colorectal Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIA Colorectal Cancer; Stage IIB Breast Cancer; Stage IIB Colorectal Cancer; Stage IIC Colorectal Cancer; Stage IIIA Breast Cancer; Stage IIIA Colorectal Cancer; Stage IIIB Breast Cancer; Stage IIIB Colorectal Cancer; Stage IIIC Breast Cancer; Stage IIIC Colorectal Cancer

  20. Consumer Health Education. Breast Cancer.

    ERIC Educational Resources Information Center

    Arkansas Univ., Fayetteville, Cooperative Extension Service.

    This short booklet is designed to be used by health educators when teaching women about breast cancer and its early detection and the procedure for breast self-examination. It includes the following: (1) A one-page teaching plan consisting of objectives, subject matter, methods (including titles of films and printed materials), target audience,…

  1. DNA repair variants and breast cancer risk.

    PubMed

    Grundy, Anne; Richardson, Harriet; Schuetz, Johanna M; Burstyn, Igor; Spinelli, John J; Brooks-Wilson, Angela; Aronson, Kristan J

    2016-05-01

    A functional DNA repair system has been identified as important in the prevention of tumour development. Previous studies have hypothesized that common polymorphisms in DNA repair genes could play a role in breast cancer risk and also identified the potential for interactions between these polymorphisms and established breast cancer risk factors such as physical activity. Associations with breast cancer risk for 99 single nucleotide polymorphisms (SNPs) from genes in ten DNA repair pathways were examined in a case-control study including both Europeans (644 cases, 809 controls) and East Asians (299 cases, 160 controls). Odds ratios in both additive and dominant genetic models were calculated separately for participants of European and East Asian ancestry using multivariate logistic regression. The impact of multiple comparisons was assessed by correcting for the false discovery rate within each DNA repair pathway. Interactions between several breast cancer risk factors and DNA repair SNPs were also evaluated. One SNP (rs3213282) in the gene XRCC1 was associated with an increased risk of breast cancer in the dominant model of inheritance following adjustment for the false discovery rate (P < 0.05), although no associations were observed for other DNA repair SNPs. Interactions of six SNPs in multiple DNA repair pathways with physical activity were evident prior to correction for FDR, following which there was support for only one of the interaction terms (P < 0.05). No consistent associations between variants in DNA repair genes and breast cancer risk or their modification by breast cancer risk factors were observed.

  2. The Effects of Folate on the Development of Breast Cancer in a Chemical Rodent Model of Mammary Carcinogenesis

    DTIC Science & Technology

    2002-08-01

    AD Award Number: DAMD17-01- 1 -0428 TITLE: The Effects of Folate on the Development of Breast Cancer in a Chemical Rodent Model of Mammary...DOCUMENTATION PAGE OMB No. 074-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including...Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188), Washington, DC 20503 1 . AGENCY USE

  3. Analysis of radiation therapy in a model of triple-negative breast cancer brain metastasis.

    PubMed

    Smart, DeeDee; Garcia-Glaessner, Alejandra; Palmieri, Diane; Wong-Goodrich, Sarah J; Kramp, Tamalee; Gril, Brunilde; Shukla, Sudhanshu; Lyle, Tiffany; Hua, Emily; Cameron, Heather A; Camphausen, Kevin; Steeg, Patricia S

    2015-10-01

    Most cancer patients with brain metastases are treated with radiation therapy, yet this modality has not yet been meaningfully incorporated into preclinical experimental brain metastasis models. We applied two forms of whole brain radiation therapy (WBRT) to the brain-tropic 231-BR experimental brain metastasis model of triple-negative breast cancer. When compared to sham controls, WBRT as 3 Gy × 10 fractions (3 × 10) reduced the number of micrometastases and large metastases by 87.7 and 54.5 %, respectively (both p < 0.01); whereas a single radiation dose of 15 Gy × 1 (15 × 1) was less effective, reducing metastases by 58.4 % (p < 0.01) and 47.1 % (p = 0.41), respectively. Neuroinflammation in the adjacent brain parenchyma was due solely to a reaction from metastases, and not radiotherapy, while adult neurogenesis in brains was adversely affected following both radiation regimens. The nature of radiation resistance was investigated by ex vivo culture of tumor cells that survived initial WBRT ("Surviving" cultures). The Surviving cultures surprisingly demonstrated increased radiosensitivity ex vivo. In contrast, re-injection of Surviving cultures and re-treatment with a 3 × 10 WBRT regimen significantly reduced the number of large and micrometastases that developed in vivo, suggesting a role for the microenvironment. Micrometastases derived from tumor cells surviving initial 3 × 10 WBRT demonstrated a trend toward radioresistance upon repeat treatment (p = 0.09). The data confirm the potency of a fractionated 3 × 10 WBRT regimen and identify the brain microenvironment as a potential determinant of radiation efficacy. The data also nominate the Surviving cultures as a potential new translational model for radiotherapy.

  4. Association of Breast Cancer Risk loci with Breast Cancer Survival

    PubMed Central

    Barrdahl, Myrto; Canzian, Federico; Lindström, Sara; Shui, Irene; Black, Amanda; Hoover, Robert N.; Ziegler, Regina G.; Buring, Julie E.; Chanock, Stephen J.; Diver, W. Ryan; Gapstur, Susan M.; Gaudet, Mia M.; Giles, Graham G.; Haiman, Christopher; Henderson, Brian E.; Hankinson, Susan; Hunter, David J.; Joshi, Amit D.; Kraft, Peter; Lee, I-Min; Le Marchand, Loic; Milne, Roger L.; Southey, Melissa C.; Willett, Walter; Gunter, Marc; Panico, Salvatore; Sund, Malin; Weiderpass, Elisabete; Sánchez, María-José; Overvad, Kim; Dossus, Laure; Peeters, Petra H; Khaw, Kay-Tee; Trichopoulos, Dimitrios; Kaaks, Rudolf; Campa, Daniele

    2015-01-01

    The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of evidence suggest that alleles influencing breast cancer risk might also be associated with breast cancer survival. We examined the associations between 35 breast cancer susceptibility loci and the disease over-all survival (OS) in 10,255 breast cancer patients from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) of which 1,379 died, including 754 of breast cancer. We also conducted a meta-analysis of almost 35,000 patients and 5,000 deaths, combining results from BPC3 and the Breast Cancer Association Consortium (BCAC) and performed in silico analyses of SNPs with significant associations. In BPC3, the C allele of LSP1-rs3817198 was significantly associated with improved OS (HRper-allele=0.70; 95% CI: 0.58–0.85; Ptrend=2.84×10−4; HRheterozygotes=0.71; 95% CI: 0.55–0.92; HRhomozygotes=0.48; 95% CI: 0.31–0.76; P2DF=1.45×10−3). In silico, the C allele of LSP1-rs3817198 was predicted to increase expression of the tumor suppressor cyclin-dependent kinase inhibitor 1C (CDKN1C). In the meta-analysis, TNRC9-rs3803662 was significantly associated with increased death hazard (HRMETA =1.09; 95% CI: 1.04–1.15; Ptrend=6.6×10−4; HRheterozygotes=0.96 95% CI: 0.90–1.03; HRhomozygotes= 1.21; 95% CI: 1.09–1.35; P2DF=1.25×10−4). In conclusion, we show that there is little overlap between the breast cancer risk single nucleotide polymorphisms (SNPs) identified so far and the SNPs associated with breast cancer prognosis, with the possible exceptions of LSP1-rs3817198 and TNRC9-rs3803662. PMID:25611573

  5. 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.

  6. Hormones, Women and Breast Cancer

    MedlinePlus

    ... used therapy is a female hormone blocker called tamoxifen. A newer therapy uses a pill (anastrozole, letrozole, ... are at high risk for developing breast cancer, tamoxifen or raloxifene can also be taken to prevent ...

  7. Preventing Breast Cancer: Making Progress

    MedlinePlus

    ... medical literature, the Study of Tamoxifen and Raloxifene (STAR) trial was started in 1998. That study enrolled ... in the BCPT. Studies, such as BCPT and STAR, involve women who have not had breast cancer, ...

  8. Palbociclib for Advanced Breast Cancer

    Cancer.gov

    An interim analysis of the PALOMA3 trial shows that women with hormone receptor-positive metastatic breast cancer who received palbociclib plus fulvestrant had longer progression-free survival rates than women who received a placebo plus fulvestrant.

  9. Tumour markers in breast cancer.

    PubMed Central

    Cove, D. H.; Woods, K. L.; Smith, S. C.; Burnett, D.; Leonard, J.; Grieve, R. J.; Howell, A.

    1979-01-01

    The clinical usefulness of 8 potential tumour markers has been evaluated in 69 patients with Stage I and II breast cancer and 57 patients with Stage III and IV. Serum CEA concentrations were raised in 13% of patients with local and 65% of those with advanced breast cancer. In patients with clinical evidence of progression or regression of tumour, serum CEA levels changed appropriately in 83% of cases. Taking 4 of the markers (carcinoembryonic antigen (CEA), lactalbumin, alpha subunit and haptoglobin) serum concentrations of one or more were raised in 33% of patients with local disease and 81% of those with advanced breast cancer. However, marker concentrations were often only marginally raised, and are unlikely to provide sensitive guide to tumour burden. CEA, lactalbumin and alpha subunit were detectable in 68%, 43% and 40% respectively of extracts of primary breast cancers. PMID:92331

  10. Breast cancer. Part 3: advanced cancer and psychological implications.

    PubMed

    Harmer, Victoria

    This is the last article in this 3-part series on breast cancer. The previous two articles have outlined the principles behind breast awareness and breast health, detailing common benign breast diseases, types of breast cancer and staging, and treatment for breast cancer, including surgery, chemotherapy, radiotherapy and endocrine treatment. The series concludes by giving information on advanced disease, including when a patient presents late with a fungating breast lesion, or if the disease has metastasized from the breast to other organs. Lymphoedema is also described and discussed, and the latter half of this article discusses psychological implications of breast cancer, from diagnosis through the individual treatments.

  11. Metals and Breast Cancer

    PubMed Central

    Byrne, Celia; Divekar, Shailaja D.; Storchan, Geoffrey B.; Parodi, Daniela A.; Martin, Mary Beth

    2014-01-01

    Metalloestrogens are metals that activate the estrogen receptor in the absence of estradiol. The metalloestrogens fall into two subclasses: metal/metalloid anions and bivalent cationic metals. The metal/metalloid anions include compounds such as arsenite, nitrite, selenite, and vanadate while the bivalent cations include metals such as cadmium, calcium, cobalt, copper, nickel, chromium, lead, mercury, and tin. The best studied metalloestrogen is cadmium. It is a heavy metal and a prevalent environmental contaminant with no known physiological function. This review addresses our current understanding of the mechanism by which cadmium and the bivalent cationic metals activate estrogen receptor-α. The review also summarizes the in vitro and in vivo evidence that cadmium functions as an estrogen and the potential role of cadmium in breast cancer. PMID:23338949

  12. A prospective surveillance model for physical rehabilitation of women with breast cancer: chemotherapy-induced peripheral neuropathy.

    PubMed

    Stubblefield, Michael D; McNeely, Margaret L; Alfano, Catherine M; Mayer, Deborah K

    2012-04-15

    Chemotherapy-induced peripheral neuropathy (CIPN) results from damage to or dysfunction of the peripheral nerves. The development of CIPN is anticipated for the majority of breast cancer patients who receive neurotoxic chemotherapy, depending on the agent used, dose, and schedule. Sensory symptoms often predominate and include numbness, tingling, and distal extremity pain. Weakness, gait impairment, loss of functional abilities, and other deficits may develop with more severe CIPN. This article outlines a prospective surveillance model for physical rehabilitation of women with breast cancer who develop CIPN. Rehabilitative efforts for CIPN start at the time of breast cancer diagnosis and treatment planning. The prechemotherapy evaluation identifies patients with preexisting peripheral nervous system disorders that may place them at higher risk for the development of CIPN. This clinical evaluation should include a history focusing on symptoms and functional activities as well as a physical examination that objectively assesses the patient's strength, sensation, reflexes, and gait. Ongoing surveillance following the initiation of a neurotoxic agent is important to monitor for the development and progression of symptoms associated with CIPN, and to ensure its resolution over the long term. CIPN is managed best by a multidisciplinary team approach. Early identification of symptoms will ensure appropriate referral and timely symptom management. The prospective surveillance model promotes a patient-centered approach to care, from pretreatment through survivorship and palliative care. In this way, the model offers promise in addressing and minimizing both the acute and long-term morbidity associated with CIPN.

  13. Prediction of metastatic relapse in node-positive breast cancer: establishment of a clinicogenomic model after FEC100 adjuvant regimen.

    PubMed

    Campone, Mario; Campion, Loïc; Roché, Henry; Gouraud, Wilfried; Charbonnel, Catherine; Magrangeas, Florence; Minvielle, Stéphane; Genève, Jean; Martin, Anne-Laure; Bataille, Régis; Jézéquel, Pascal

    2008-06-01

    Breast cancer is a very heterogeneous disease, and markers for disease subtypes and therapy response remain poorly defined. For that reason, we employed a retrospective study in node-positive breast cancer to identify molecular signatures of gene expression correlating with metastatic free survival. Patients were primarily included in FEC100 (5-fluorouracil 500 mg/m(2), epirubicin 100 mg/m(2) and cyclophosphamide 500 mg/m(2)) arms of two multicentric prospective adjuvant clinical trials (PACS01 and PEGASE01-FNCLCC cooperative group). Data from nylon microarrays containing 8,032 cDNA unique sequences, representing 5,776 distinct genes, have been used to develop a predictive model for treatment outcome. We obtained the gene expression profiles for 150 of these patients, and used stringent univariate selection techniques based on Cox regression combined with principal component analysis to identify a genomic signature of metastatic relapse after adjuvant FEC100 regimen. Most of the 14 selected genes have a clear role in breast cancer, carcinogenesis or chemotherapy resistance. Six genes have been previously described in other genomic studies (UBE2C, CENPF, C16orf61 [DC13], STMN1, CCT5 and BCL2A1). Furthermore, we showed the interest of combining transcriptomic data with clinical data into a clinicogenomic model for patients subtyping. The described model adds predictive accuracy to that provided by the well-established Nottingham prognostic index or by our genomic signature alone.

  14. Endocrine Therapy of Breast Cancer

    DTIC Science & Technology

    2005-06-01

    breast cancers is whether an aromatase inhibitor, e.g., letrozole (LET) or TAM should be given as first line endocrine therapy . Unfortunately...response rates are lower, and response durations are shorter, on crossover than when these agents are given as first line therapies , e.g., -40% of tumors...effective treatment for hormone receptor positive invasive breast cancer. Such therapy includes antiestrogens (tamoxifen, fulvestrant ) and aromatase

  15. Breast Cancer Research Training Grant

    DTIC Science & Technology

    1999-03-01

    Schools of Medicine and Public Health (BUSM, BUSPH) in research into the etiology, prevention, detection, diagnosis and therapy of breast cancer using...research relevant to the etiology, prevention, detection, diagnosis and therapy of breast cancer using the most advanced knowledge and techniques...these questions is discussed briefly. rats. The major impetus for the study was the problem of decreased survival due to nephropathy in male F344 rats

  16. Modeling hot flushes and quality of life in breast cancer survivors

    PubMed Central

    Rand, K. L.; Otte, J. L.; Flockhart, D.; Hayes, D.; Storniolo, A. M.; Stearns, V.; Henry, N. L.; Nguyen, A.; Lemler, S.; Hayden, J.; Jeter, S.; Carpenter, J. S.

    2010-01-01

    Objectives To evaluate the relationships among measures of hot flushes, perceived hot flush interference, sleep disturbance, and measures of quality of life while controlling for potential covariates (patient and treatment variables). Methods Breast cancer survivors (n = 395) due to receive aromatase inhibitor therapy provided demographic information, physiological hot flush data via sternal skin conductance monitoring, hot flush frequency via written diary and electronic event marker, hot flush severity and bother via written diary, and questionnaire data via the Hot Flash Related Daily Interference Scale, Pittsburgh Sleep Quality Index, the EuroQOL, Hospital Anxiety and Depression Scale and the Center for Epidemiologic Studies Depression Scale. Results Confirmatory factor analysis supported a two-factor model for hot flush symptoms (frequency and severity). Although there was strong convergence among self-reported hot flush measures, there was a high degree of unexplained variance associated with physiological measures. This suggests that self-report and physiological measures do not overlap substantially. The structural model showed that greater hot flush frequency and severity were directly related to greater perceived interference with daily life activities. Greater perceived interference, in turn, directly predicted greater sleep disruption, which predicted lower perceived health state and more symptoms of anxiety and depression. Conclusions Findings suggest hot flush interference may be the most appropriate single measure to include in clinical trials of vasomotor symptom therapies. Measuring and ameliorating patients' perceptions of hot flush interference with life activities and subjective sleep quality may be the most direct routes to improving quality of life. PMID:20450413

  17. Development of Conformation Independent Computational Models for the Early Recognition of Breast Cancer Resistance Protein Substrates

    PubMed Central

    Gantner, Melisa Edith; Di Ianni, Mauricio Emiliano; Ruiz, María Esperanza; Bruno-Blanch, Luis E.

    2013-01-01

    ABC efflux transporters are polyspecific members of the ABC superfamily that, acting as drug and metabolite carriers, provide a biochemical barrier against drug penetration and contribute to detoxification. Their overexpression is linked to multidrug resistance issues in a diversity of diseases. Breast cancer resistance protein (BCRP) is the most expressed ABC efflux transporter throughout the intestine and the blood-brain barrier, limiting oral absorption and brain bioavailability of its substrates. Early recognition of BCRP substrates is thus essential to optimize oral drug absorption, design of novel therapeutics for central nervous system conditions, and overcome BCRP-mediated cross-resistance issues. We present the development of an ensemble of ligand-based machine learning algorithms for the early recognition of BCRP substrates, from a database of 262 substrates and nonsubstrates compiled from the literature. Such dataset was rationally partitioned into training and test sets by application of a 2-step clustering procedure. The models were developed through application of linear discriminant analysis to random subsamples of Dragon molecular descriptors. Simple data fusion and statistical comparison of partial areas under the curve of ROC curves were applied to obtain the best 2-model combination, which presented 82% and 74.5% of overall accuracy in the training and test set, respectively. PMID:23984415

  18. In Vivo Measurement of Drug Efficacy in Breast Cancer

    DTIC Science & Technology

    2015-10-01

    AWARD NUMBER: W81XWH-14-1-0386 TITLE: In Vivo Measurement of Drug Efficacy in Breast Cancer PRINCIPAL INVESTIGATOR: Dr. Randy J. Giedt CONTRACTING...Measurement of Drug Efficacy in Breast Cancer 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-14-1-0386 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Randy J...and utilizing intravital methods for studying drug and nanoparticle function in mouse breast cancer models. We hypothesize that, firstly, we can

  19. Targeting CD81 to Prevent Metastases in Breast Cancer

    DTIC Science & Technology

    2015-10-01

    expression in breast cancer cells impairs the number of circulating tumor cells . The experiments were performed using a protocol that we standardized for...detection of circulating tumor cells in an immunocompetent syngeneic mouse model of breast cancer using FASTcell™ system. 15. SUBJECT TERMS Breast...cancer metastases, CD81, Circulating Tumor Cells (CTCs) 16. SECURITY CLASSIFICATION OF: U 17. LIMITATION OF ABSTRACT 18. NUMBER OF PAGES 19a. NAME OF

  20. Chemoprevention of Breast Cancer by Dietary Polyphenols.

    PubMed

    Mocanu, Maria-Magdalena; Nagy, Péter; Szöllősi, János

    2015-12-17

    The review will discuss in detail the effects of polyphenols on breast cancer, including both the advantages and disadvantages of the applications of these natural compounds. First, we focus on the characterization of the main classes of polyphenols and then on in vitro and in vivo experiments carried out in breast cancer models. Since the therapeutic effects of the administration of a single type of polyphenol might be limited because of the reduced bioavailability of these drugs, investigations on combination of several polyphenols or polyphenols with conventional therapy will also be discussed. In addition, we present recent data focusing on clinical trials with polyphenols and new approaches with nanoparticles in breast cancer. Besides the clinical and translational findings this review systematically summarizes our current knowledge about the molecular mechanisms of anti-cancer effects of polyphenols, which are related to apoptosis, cell cycle regulation, plasma membrane receptors, signaling pathways and epigenetic mechanisms. At the same time the effects of polyphenols on primary tumor, metastasis and angiogenesis in breast cancer are discussed. The increasing enthusiasm regarding the combination of polyphenols and conventional therapy in breast cancer might lead to additional efforts to motivate further research in this field.

  1. Ron in Breast Development and Cancer

    DTIC Science & Technology

    2006-10-01

    fraction of human and feline breast cancers. To define the in vivo significance of Ron, mice were generated with a targeted ablation of the tyrosine...with known oncogenes. For example, the skin and breast tumorigenicity of transgenic mice overexpressing the polyoma middle T (36) and RAS (37...Waltz SE. Ron tyrosine kinase receptor regulates papilloma growth and malignant conversion in a murine model of skin carcinogenesis. Oncogene 2005; 24

  2. Cigarette smoking and breast cancer.

    PubMed

    Baron, J A; Newcomb, P A; Longnecker, M P; Mittendorf, R; Storer, B E; Clapp, R W; Bogdan, G; Yuen, J

    1996-05-01

    A priori hypotheses suggest that cigarette smoking could either increase or decrease breast cancer incidence. To clarify these competing hypotheses, we used data from a very large population-based breast cancer case-control study to investigate the impact of smoking on breast cancer risk. Breast cancer patients less than 75 years old were identified from statewide tumor registries in Wisconsin, Massachusetts, Maine, and New Hampshire; controls were randomly selected from driver's license lists (age less than 65) or lists of Medicare beneficiaries (age 65-74). Information on reproductive history, medical history, and personal habits including cigarette smoking was obtained by telephone interview. A total of 6,888 cases and 9,529 controls were interviewed. There was virtually no relationship between current smoking and breast cancer risk (multivariate odds ratio, 1.00; 95% confidence interval, 0.92-1.09), and former smokers had a barely increased risk (odds ratio, 1.10; 95% confidence interval, 1.01-1.19). Similar results were observed among both premenopausal and postmenopausal women. There was no suggestion that heavy or long-term smoking increased or decreased risk, nor were there indications that women who began smoking at an early age were at increased risk, as has been hypothesized. The results of this large population-based study indicate that smoking does not influence the risk of breast cancer, even among heavy smokers who began smoking at an early age.

  3. Danish Breast Cancer Cooperative Group

    PubMed Central

    Christiansen, Peer; Ejlertsen, Bent; Jensen, Maj-Britt; Mouridsen, Henning

    2016-01-01

    Aim of database Danish Breast Cancer Cooperative Group (DBCG), with an associated database, was introduced as a nationwide multidisciplinary group in 1977 with the ultimate aim to improve the prognosis in breast cancer. Since then, the database has registered women diagnosed with primary invasive nonmetastatic breast cancer. The data reported from the departments to the database included details of the characteristics of the primary tumor, of surgery, radiotherapy, and systemic therapies, and of follow-up reported on specific forms from the departments in question. Descriptive data From 1977 through 2014, ~110,000 patients are registered in the nationwide, clinical database. The completeness has gradually improved to more than 95%. DBCG has continuously prepared evidence-based guidelines on diagnosis and treatment of breast cancer and conducted quality control studies to ascertain the degree of adherence to the guidelines in the different departments. Conclusion Utilizing data from the DBCG database, a long array of high-quality DBCG studies of various designs and scope, nationwide or in international collaboration, have contributed to the current updating of the guidelines, and have been an instrumental resource in the improvement of management and prognosis of breast cancer in Denmark. Thus, since the establishment of DBCG, the prognosis in breast cancer has continuously improved with a decrease in 5-year mortality from ~37% to 15%. PMID:27822082

  4. Iodide transport and breast cancer.

    PubMed

    Poole, Vikki L; McCabe, Christopher J

    2015-10-01

    Breast cancer is the second most common cancer worldwide and the leading cause of cancer death in women, with incidence rates that continue to rise. The heterogeneity of the disease makes breast cancer exceptionally difficult to treat, particularly for those patients with triple-negative disease. To address the therapeutic complexity of these tumours, new strategies for diagnosis and treatment are urgently required. The ability of lactating and malignant breast cells to uptake and transport iodide has led to the hypothesis that radioiodide therapy could be a potentially viable treatment for many breast cancer patients. Understanding how iodide is transported, and the factors regulating the expression and function of the proteins responsible for iodide transport, is critical for translating this hypothesis into reality. This review covers the three known iodide transporters - the sodium iodide symporter, pendrin and the sodium-coupled monocarboxylate transporter - and their role in iodide transport in breast cells, along with efforts to manipulate them to increase the potential for radioiodide therapy as a treatment for breast cancer.

  5. BREAST CANCER, DERMATOFIBROMAS AND ARSENIC

    PubMed Central

    Dantzig, Paul I

    2009-01-01

    Background: Dermatofibromas are common benign tumors in women, and breast cancer is the most common malignancy in women. The aim of this study is to determine if there is any relationship between the two conditions. Materials and Methods: Five patients with dermatofibromas and 10 control patients (two groups) had their skin biopsies measured for arsenic by inductively coupled mass spectrometry. Fifty randomly selected patients with breast cancer and 50 control patients were examined for the presence of dermatofibromas. Results: The dermatofibromas were found to have an arsenic concentration of 0.171 micrograms/gram, compared with 0.06 and 0.07 micrograms/gram of the two control groups. Forty-three out of 50 patients with breast cancer had dermatofibromas and 32/50 patients with breast cancer had multiple dermatofibromas, compared to 10/50 control patients with dermatofibromas and only 1/50 with multiple dermatofibromas. Conclusions: Arsenic is important in the development of dermatofibromas and dermatofibromas represent a reservoir and important sign of chronic arsenic exposure. Dermatofibromas represent an important sign for women at risk for breast cancer, and arsenic may represent the cause of the majority of cases of breast cancer. PMID:20049264

  6. Clinical applications of mouse models for breast cancer engaging HER2/neu

    PubMed Central

    Fry, Elizabeth A.; Taneja, Pankaj; Inoue, Kazushi

    2016-01-01

    Human c-ErbB2 (HER2) has long been used as a marker of breast cancer (BC) for sub-categorization for the prediction of prognosis, and determination of therapeutic strategies. HER2 overexpressing BCs are more invasive/metastatic; but patients respond to monoclonal antibody therapy with trastuzumab or tyrosine kinase inhibitors, at least at early stages. To date, numerous mouse models that faithfully reproduce HER2(+) BCs have been created in mice. We recently reviewed different mouse models of BC overexpressing wild type or mutant neu driven by MMTV, neu, or doxycycline-inducible promoters. These mice have been used to demonstrate the histopathology, oncogenic signaling pathways initiated by aberrant overexpression of HER2 in the mammary epithelium, and interaction between oncogenes and tumor suppressor genes at molecular levels. In this review, we focus on their clinical applications. They can be used to test the efficacy of HER(2) inhibitors before starting clinical trials, characterize the tumor-initiating cells that could be the cause of relapse after therapy as well as to analyze the molecular mechanisms of therapeutic resistance targeting HER2. MMTV-human ErbB2 (HER2) mouse models have recently been established since the monoclonal antibody to HER2 (trastuzumab; Herceptin®) does not recognize the rat neu protein. It has been reported that early intervention with HER2 monoclonal antibody would be beneficial for preventing mammary carcinogenesis. MDA-7/IL-24 as well as naturally-occurring chemicals have also been tested using MMTV-neu models. Recent studies have shown that MMTV-neu models are useful to develop vaccines to HER2 for immunotherapy. The mouse models employing HER2/neu will be essential for future antibody or drug screenings to overcome resistance to trastuzumab or HER(2)-specific tyrosine kinase inhibitors. PMID:28133539

  7. Circulating microRNA-based screening tool for breast cancer.

    PubMed

    Frères, Pierre; Wenric, Stéphane; Boukerroucha, Meriem; Fasquelle, Corinne; Thiry, Jérôme; Bovy, Nicolas; Struman, Ingrid; Geurts, Pierre; Collignon, Joëlle; Schroeder, Hélène; Kridelka, Frédéric; Lifrange, Eric; Jossa, Véronique; Bours, Vincent; Josse, Claire; Jerusalem, Guy

    2016-02-02

    Circulating microRNAs (miRNAs) are increasingly recognized as powerful biomarkers in several pathologies, including breast cancer. Here, their plasmatic levels were measured to be used as an alternative screening procedure to mammography for breast cancer diagnosis.A plasma miRNA profile was determined by RT-qPCR in a cohort of 378 women. A diagnostic model was designed based on the expression of 8 miRNAs measured first in a profiling cohort composed of 41 primary breast cancers and 45 controls, and further validated in diverse cohorts composed of 108 primary breast cancers, 88 controls, 35 breast cancers in remission, 31 metastatic breast cancers and 30 gynecologic tumors.A receiver operating characteristic curve derived from the 8-miRNA random forest based diagnostic tool exhibited an area under the curve of 0.81. The accuracy of the diagnostic tool remained unchanged considering age and tumor stage. The miRNA signature correctly identified patients with metastatic breast cancer. The use of the classification model on cohorts of patients with breast cancers in remission and with gynecologic cancers yielded prediction distributions similar to that of the control group.Using a multivariate supervised learning method and a set of 8 circulating miRNAs, we designed an accurate, minimally invasive screening tool for breast cancer.

  8. Liposomal Nanoparticles Carrying anti-IL6R Antibody to the Tumour Microenvironment Inhibit Metastasis in Two Molecular Subtypes of Breast Cancer Mouse Models

    PubMed Central

    Guo, Chunlei; Chen, Yanan; Gao, Wenjuan; Chang, Antao; Ye, Yujie; Shen, Wenzhi; Luo, Yunping; Yang, Shengyong; Sun, Peiqing; Xiang, Rong; Li, Na

    2017-01-01

    Tumour microenvironment (TME) contributes significantly towards potentiating the stemness and metastasis properties of cancer cells. IL6-Stat3 is one of the important cell signaling pathways in mediating the communication between tumour and immune cells. Here, we have systematically developed a novel anti-CD44 antibody-mediated liposomal nanoparticle delivery system loaded with anti-IL6R antibody, which could specifically target the TME of CD44+ breast cancer cells in different mouse models for triple negative and luminal breast cancer. This nanoparticle had an enhanced and specific tumour targeting efficacy with dramatic anti-tumour metastasis effects in syngeneic BALB/c mice bearing 4T1 cells as was in the syngeneic MMTV-PyMT mice. It inhibited IL6R-Stat3 signaling and moderated the TME, characterized by the reduced expression of genes encoding Stat3, Sox2, VEGFA, MMP-9 and CD206 in the breast tissues. Furthermore, this nanoparticle reduced the subgroups of Sox2+ and CD206+ cells in the lung metastatic foci, demonstrating its inhibitory effect on the lung metastatic niche for breast cancer stem cells. Taken together, the CD44 targeted liposomal nanoparticles encapsulating anti-IL6R antibody achieved a significant effect to inhibit the metastasis of breast cancer in different molecular subtypes of breast cancer mouse models. Our results shed light on the application of nanoparticle mediated cancer immune-therapy through targeting TME. PMID:28255366

  9. Poly (I: C) modulates the immunosuppressive activity of myeloid-derived suppressor cells in a murine model of breast cancer.

    PubMed

    Forghani, Parvin; Waller, Edmund K

    2015-08-01

    Polyinosinic-polycytidylic acid [Poly (I: C)], a ligand for Toll-like receptor (TLR-3), is used as an adjuvant to enhance anti-tumor immunity because of its prominent effects on CD8 T cells and NK cells. Myeloid-derived suppressor cells (MDSCs) are one of the main immunosuppressive factors in cancer, and their abnormal accumulation is correlated with the clinical stage of breast cancer and is an important mechanism of tumor immune evasion. Although Poly (I: C) is thought to have direct anti-tumor activity in different cell lines, its effect on immunosuppressive MDSCs in tumor-bearing animals has not been studied. 4T1-Luc, a metastatic breast cancer mouse cell line, was injected into the left flank of female BALB/c mice. Tumor-bearing mice were treated with i.p. injection of Poly (I: C) or PBS beginning on day 7 after tumor inoculation. WBCs and MDSCs were counted using coulter counter and stained for flow cytometry, respectively. Bioluminescent imaging was used to monitor tumor burden at multiple time points during the course of tumor growth. Poly (I: C) treatment led to a decrease in MDSC frequencies in BM, blood, and tumor compared to saline-treated control mice. Poly (I: C) treatment also abrogated the immunosuppressive function of MDSCs, concomitant with an increase in local T cell response of the immune system in a murine model of breast cancer. Poly (I: C) treatment decreases MDSC frequency and immunosuppressive function in 4T1-tumor-bearing hosts and effectively augments the activity of breast cancer immunotherapy.

  10. [Physical activity and breast cancer].

    PubMed

    Ramírez, Karol; Acevedo, Francisco; Herrera, María Elisa; Ibáñez, Carolina; Sánchez, César

    2017-01-01

    In Chile breast cancer (BC) is the first cause of death in women. While the most important risk factor for its development is estrogenic stimulation, environmental factors and lifestyles also contribute to its pathogenesis. Epidemiological studies show a direct relationship between physical activity (PA), incidence and recurrence of BC. Supervised PA practice is recommended in most cancer patients to improve their quality of life, to reduce adverse effects from treatment and eventually to improve the prognosis of the disease. We review the epidemiological evidence linking PA and BC and the biological basis of this relationship. We also review the relevant interventional studies and we explore some practical indications of PA in patients with BC, as a model for other tumors of epidemiological importance.

  11. Melatonin: an Inhibitor of Breast Cancer

    PubMed Central

    Hill, Steven M.; Belancio, Victoria P.; Dauchy, Robert T.; Xiang, Shulin; Brimer, Samantha; Mao, Lulu; Hauch, Adam; Lundberg, Peter W.; Summers, Whitney; Yuan, Lin; Frasch, Tripp; Blask, David E.

    2015-01-01

    This review discusses recent work on melatonin-mediated circadian regulation and metabolic and molecular signaling mechanisms involved in human breast cancer growth and associated consequences of circadian disruption by exposure to light at night (LEN). The anti-cancer actions of the circadian melatonin signal in human breast cancer cell lines and xenografts heavily involve MT1 receptor-mediated mechanisms. In estrogen receptor alpha (ERα)-positive human breast cancer, melatonin, via the MT1 receptor, suppresses ERα mRNA expression and ERα transcriptional activity. As well, melatonin regulates the transactivation of other members of the nuclear receptor super-family, estrogen metabolizing enzymes, and the expression of core clock and clock-related genes. Furthermore, melatonin also suppresses tumor aerobic metabolism (Warburg effect), and, subsequently, cell-signaling pathways critical to cell proliferation, cell survival, metastasis, and drug resistance. Melatonin demonstrates both cytostatic and cytotoxic activity in breast cancer cells that appears to be cell type specific. Melatonin also possesses anti-invasive/anti-metastatic actions that involve multiple pathways including inhibition of p38 MAPK and repression of epithelial-to-mesenchymal transition. Studies demonstrate that melatonin promotes genomic stability by inhibiting the expression of LINE-1 retrotransposons. Finally, research in animal and human models indicate that LEN induced disruption of the circadian nocturnal melatonin signal promotes the growth, metabolism, and signaling of human breast cancer to drive breast tumors to endocrine and chemotherapeutic resistance. These data provide the strongest understanding and support of the mechanisms underpinning the epidemiologic demonstration of elevated breast cancer risk in night shift workers and other individuals increasingly exposed to LEN. PMID:25876649

  12. Epigenetic modifications, chromatin distribution and TP53 transcription in a model of breast cancer progression.

    PubMed

    Santos, Gilson C; da Silva, Ana P A; Feldman, Lucas; Ventura, Grasiella M; Vassetzky, Yegor; de Moura Gallo, Claudia V

    2015-04-01

    In the present paper we aimed to characterize epigenetic aspects and analyze TP53 transcription in the 21 T series, composed of breast cell lines: non-cancerous H16N2; Atypical Ductal Hyperplasia 21PT; Ductal Carcinoma in situ 21NT and Invasive Metastatic Carcinoma 21MT1. We detected a global genomic hypomethylation in 21NT and 21MT1. The histone modification markers analysis showed an important global decrease of the active chromatin mark H4Ac in 21MT1 relative to the other cell lines while the repressive mark H3K9Me3 were not significantly altered. The mRNA levels of DNA methylation and histone modification key enzymes are consistent with the observed genomic hypomethylation and histone hypoacetylation. The expression of DNMT3A/B increased at the initial stages of oncogenesis and the expression of DNMT1 and HAT1 decreased at the advanced stages of breast cancer. Using a confocal immunofluorescent assay, we observed that H4Ac was mostly located at the periphery and the repressive mark H3K9Me3, at the center of 21NT and 21MT1 cells nuclei. TP53 P1 promoter was found to be in an open chromatin state, with a relatively high enrichment of H4Ac and similar TP53 transcription levels in all 21 T cell lines. In conclusion, we observed epigenetic alterations (global genome hypomethylation, global hypoacetylation and accumulation of pericentric heterochromatin) in metastatic breast cancer cells of the 21 T series. These alterations may act at later stages of breast cancer progression and may not affect TP53 transcription at the P1 promoter.

  13. Identification of Tumor Rejection Antigens for Breast Cancer Using a Mouse Tumor Rejection Model

    DTIC Science & Technology

    2009-05-01

    high throughput antigen discovery tools have been developed that have greatly helped the identification of immunogenic proteins in breast cancer...streptomycin and L-glutamine. T cell enrichment Tumor-infiltrating lymphocytes (TIL) were harvested by mincing the tu- mor and screening. The TIL were...kinase 1. Multiple proteins involved in the Rho/Rho-associated, coiled coil–containing protein kinase (Rock) signal transduction pathway were found to

  14. Gelatin Methacrylate Hydrogels as Biomimetic Three-Dimensional Matrixes for Modeling Breast Cancer Invasion and Chemoresponse in Vitro.

    PubMed

    Arya, Anuradha D; Hallur, Pavan M; Karkisaval, Abhijith G; Gudipati, Aditi; Rajendiran, Satheesh; Dhavale, Vaibhav; Ramachandran, Balaji; Jayaprakash, Aravindakshan; Gundiah, Namrata; Chaubey, Aditya

    2016-08-31

    Recent studies have shown that three-dimensional (3D) culture environments allow the study of cellular responses in a setting that more closely resembles the in vivo milieu. In this context, hydrogels have become popular scaffold options for the 3D cell culture. Because the mechanical and biochemical properties of culture matrixes influence crucial cell behavior, selecting a suitable matrix for replicating in vivo cellular phenotype in vitro is essential for understanding disease progression. Gelatin methacrylate (GelMA) hydrogels have been the focus of much attention because of their inherent bioactivity, favorable hydration and diffusion properties, and ease-of-tailoring of their physicochemical characteristics. Therefore, in this study we examined the efficacy of GelMA hydrogels as a suitable platform to model specific attributes of breast cancer. We observed increased invasiveness in vitro and increased tumorigenic ability in vivo in breast cancer cells cultured on GelMA hydrogels. Further, cells cultured on GelMA matrixes were more resistant to paclitaxel treatment, as shown by the results of cell-cycle analysis and gene expression. This study, therefore, validates GelMA hydrogels as inexpensive, cell-responsive 3D platforms for modeling key characteristics associated with breast cancer metastasis, in vitro.

  15. Salivary proteome as an in vivo model to study breast cancer progression

    NASA Astrophysics Data System (ADS)

    Streckfus, Charles F.

    2013-05-01

    Objective: The objective of this experiment was to compare the salivary protein profiles of saliva specimens from individuals diagnosed with breast cancer with and without HER2/neu overexpression in an attempt to demonstrate how these profiles may be used to study breast cancer progression. Methods: Pooled (n=10 pooled) stimulated whole saliva specimens from women were analyzed. One pooled specimen was from women diagnosed with Stage IIa (T2N0M0) invasive ductal carcinoma (IDC) without positive HER2/neu receptor status. A second pooled specimen was from women diagnosed with Stage IIa (T2N0M0) IDC with a positive HER2/neu receptor status. Experimentally, saliva from each of the pooled samples was trypsinized and the peptide digests labeled with the appropriate iTRAQ reagent. Labeled peptides from each of the digests were combined and analyzed by reverse phase (C18) capillary chromatography on an LC-MS/MS mass spectrometer equipped with an LC-Packings HPLC. Results: The results yielded 34 up-regulated proteins and 37 down regulated proteins that were differentially expressed between HER2/neu receptor positive HER2/neu receptor negative specimens. Conclusions: This pilot study provides support to the novel idea of using salivary secretions to study breast cancer progression.

  16. Natural Products for Chemoprevention of Breast Cancer

    PubMed Central

    Ko, Eun-Yi; Moon, Aree

    2015-01-01

    Breast cancer is the primary cause of cancer death in women. Although current therapies have shown some promise against breast cancer, there is still no effective cure for the majority of patients in the advanced stages of breast cancer. Development of effective agents to slow, reduce, or reverse the incidence of breast cancer in high-risk women is necessary. Chemoprevention of breast cancer by natural products is advantageous, as these compounds have few side effects and low toxicity compared to synthetic compounds. In the present review, we summarize natural products which exert chemopreventive activities against breast cancer, such as curcumin, sauchinone, lycopene, denbinobin, genipin, capsaicin, and ursolic acid. This review examines the current knowledge about natural compounds and their mechanisms that underlie breast cancer chemopreventive activity both in vitro and in vivo. The present review may provide information on the use of these compounds for the prevention of breast cancer. PMID:26734584

  17. SOCS3-mediated regulation of inflammatory cytokines in PTEN and p53 inactivated triple negative breast cancer model

    PubMed Central

    Kim, Gwangil; Ouzounova, Maria; Quraishi, Ahmed A.; Davis, April; Tawakkol, Nader; Clouthier, Shawn G.; Malik, Fayaz; Paulson, Amanda K.; D’Angelo, Rosemarie C.; Korkaya, Sumeyye; Baker, Trenton L.; Esen, Elif S.; Prat, Aleix; Liu, Suling; Kleer, Celina G.; Thomas, Dafydd G.; Wicha, Max S.; Korkaya, Hasan

    2014-01-01

    Somatic mutations or deletions of TP53 and PTEN in ductal carcinoma in situ (DCIS) lesions have been implicated in progression to invasive ductal carcinomas. A recent molecular and mutational analysis of breast cancers revealed that inactivation of tumor suppressors, p53 and PTEN are strongly associated with triple negative breast cancer. In addition, these tumor suppressors play important roles in regulating self-renewal in normal and malignant stem cells. To investigate their role in breast carcinogenesis, we knocked down these genes in human mammary cells and in non-transformed MCF10A cells. p53 and PTEN knockdown synergized to activate pro-inflammatory IL6/Stat3/NF-κB signaling. This resulted in generation of highly metastatic EMT-like cancer stem cells (CSCs) resulting in tumors whose gene expression profile mimicked that found in basal/claudin-low molecular subtype within the triple negative breast tumors. Constitutive activation of this loop in transformed cells was dependent on proteolytic degradation of SOCS3 resulting in low levels of this protein in basal/claudin low cell lines and primary tumors. In non-transformed cells, transient activation of the IL6 inflammatory loop induced SOCS3 expression leading to pathway inactivation. In transformed cells, enforced expression of SOCS3 or interfering with IL6 pathway via IL6R blockade inhibited tumor growth and metastasis in mouse xenograft models. Furthermore, circulating tumor cells were significantly reduced in tumor bearing animals when treated with anti-IL6R antibodies. These studies uncover important connections between inflammation and carcinogenesis and suggest that blocking pro-inflammatory cytokines may be utilized as an attractive strategy to target triple negative breast tumors which currently lacks molecularly targeted therapies. PMID:24531711

  18. "A novel in vivo model for the study of human breast cancer metastasis using primary breast tumor-initiating cells from patient biopsies"

    PubMed Central

    2012-01-01

    Background The study of breast cancer metastasis depends on the use of established breast cancer cell lines that do not accurately represent the heterogeneity and complexity of human breast tumors. A tumor model was developed using primary breast tumor-initiating cells isolated from patient core biopsies that would more accurately reflect human breast cancer metastasis. Methods Tumorspheres were isolated under serum-free culture conditions from core biopsies collected from five patients with clinical diagnosis of invasive ductal carcinoma (IDC). Isolated tumorspheres were transplanted into the mammary fat pad of NUDE mice to establish tumorigenicity in vivo. Tumors and metastatic lesions were analyzed by hematoxylin and eosin (H+E) staining and immunohistochemistry (IHC). Results Tumorspheres were successfully isolated from all patient core biopsies, independent of the estrogen receptor α (ERα)/progesterone receptor (PR)/Her2/neu status or tumor grade. Each tumorsphere was estimated to contain 50-100 cells. Transplantation of 50 tumorspheres (1-5 × 103 cells) in combination with Matrigel into the mammary fat pad of NUDE mice resulted in small, palpable tumors that were sustained up to 12 months post-injection. Tumors were serially transplanted three times by re-isolation of tumorspheres from the tumors and injection into the mammary fat pad of NUDE mice. At 3 months post-injection, micrometastases to the lung, liver, kidneys, brain and femur were detected by measuring content of human chromosome 17. Visible macrometastases were detected in the lung, liver and kidneys by 6 months post-injection. Primary tumors variably expressed cytokeratins, Her2/neu, cytoplasmic E-cadherin, nuclear β catenin and fibronectin but were negative for ERα and vimentin. In lung and liver metastases, variable redistribution of E-cadherin and β catenin to the membrane of tumor cells was observed. ERα was re-expressed in lung metastatic cells in two of five samples. Conclusions

  19. Inflammatory Breast Cancer

    MedlinePlus

    ... Partners & Collaborators Spotlight on Scientists Research Areas Cancer Biology Cancer Genomics Causes of Cancer Diagnosis Prevention Screening & ... Collaborators Spotlight on Scientists NCI Research Areas Cancer Biology Cancer Genomics Causes of Cancer Diagnosis Prevention Screening & ...

  20. Recent advances in the medical treatment of breast cancer.

    PubMed

    Vorobiof, Daniel A

    2016-01-01

    Over the past few decades, the systemic therapy of breast cancer (early and advanced) has changed considerably. For the past 40-50 years, and since the discovery and further therapeutic use of tamoxifen, a selective estrogen receptor modulator, breast cancer treatment has become the model for the development and success of tailored medical treatment. Much still needs to be done in improving outcomes for all patients with breast cancer, and especially for those who have advanced breast cancer, a challenging area for medical oncologists. Ongoing international clinical trials are currently evaluating new therapeutic approaches and identifying specific biological subsets that could determine a patient's ability to respond to particular chemotherapeutic drugs.

  1. New Immunotherapy Strategies in Breast Cancer

    PubMed Central

    Yu, Lin-Yu; Tang, Jie; Zhang, Cong-Min; Zeng, Wen-Jing; Yan, Han; Li, Mu-Peng; Chen, Xiao-Ping

    2017-01-01

    Breast cancer is the most commonly diagnosed cancer among women. Therapeutic treatments for breast cancer generally include surgery, chemotherapy, radiotherapy, endocrinotherapy and molecular targeted therapy. With the development of molecular biology, immunology and pharmacogenomics, immunotherapy becomes a promising new field in breast cancer therapies. In this review, we discussed recent progress in breast cancer immunotherapy, including cancer vaccines, bispecific antibodies, and immune checkpoint inhibitors. Several additional immunotherapy modalities in early stages of development are also highlighted. It is believed that these new immunotherapeutic strategies will ultimately change the current status of breast cancer therapies. PMID:28085094

  2. New Immunotherapy Strategies in Breast Cancer.

    PubMed

    Yu, Lin-Yu; Tang, Jie; Zhang, Cong-Min; Zeng, Wen-Jing; Yan, Han; Li, Mu-Peng; Chen, Xiao-Ping

    2017-01-12

    Breast cancer is the most commonly diagnosed cancer among women. Therapeutic treatments for breast cancer generally include surgery, chemotherapy, radiotherapy, endocrinotherapy and molecular targeted therapy. With the development of molecular biology, immunology and pharmacogenomics, immunotherapy becomes a promising new field in breast cancer therapies. In this review, we discussed recent progress in breast cancer immunotherapy, including cancer vaccines, bispecific antibodies, and immune checkpoint inhibitors. Several additional immunotherapy modalities in early stages of development are also highlighted. It is believed that these new immunotherapeutic strategies will ultimately change the current status of breast cancer therapies.

  3. Effect of Melatonin on Tumor Growth and Angiogenesis in Xenograft Model of Breast Cancer

    PubMed Central

    Jardim-Perassi, Bruna Victorasso; Arbab, Ali S.; Ferreira, Lívia Carvalho; Borin, Thaiz Ferraz; Varma, Nadimpalli R. S.; Iskander, A. S. M.; Shankar, Adarsh; Ali, Meser M.; de Campos Zuccari, Debora Aparecida Pires

    2014-01-01

    As neovascularization is essential for tumor growth and metastasis, controlling angiogenesis is a promising tactic in limiting cancer progression. Melatonin has been studied for their inhibitory properties on angiogenesis in cancer. We performed an in vivo study to evaluate the effects of melatonin treatment on angiogenesis in breast cancer. Cell viability was measured by MTT assay after melatonin treatment in triple-negative breast cancer cells (MDA-MB-231). After, cells were implanted in athymic nude mice and treated with melatonin or vehicle daily, administered intraperitoneally 1 hour before turning the room light off. Volume of the tumors was measured weekly with a digital caliper and at the end of treatments animals underwent single photon emission computed tomography (SPECT) with Technetium-99m tagged vascular endothelial growth factor (VEGF) C to detect in vivo angiogenesis. In addition, expression of pro-angiogenic/growth factors in the tumor extracts was evaluated by membrane antibody array and collected tumor tissues were analyzed with histochemical staining. Melatonin in vitro treatment (1 mM) decreased cell viability (p<0.05). The breast cancer xenografts nude mice treated with melatonin showed reduced tumor size and cell proliferation (Ki-67) compared to control animals after 21 days of treatment (p<0.05). Expression of VEGF receptor 2 decreased significantly in the treated animals compared to that of control when determined by immunohistochemistry (p<0.05) but the changes were not significant on SPECT (p>0.05) images. In addition, there was a decrease of micro-vessel density (Von Willebrand Factor) in melatonin treated mice (p<0.05). However, semiquantitative densitometry analysis of membrane array indicated increased expression of epidermal growth factor receptor and insulin-like growth factor 1 in treated tumors compared to vehicle treated tumors (p<0.05). In conclusion, melatonin treatment showed effectiveness in reducing tumor growth and cell

  4. Understanding health anxiety following breast cancer diagnosis.

    PubMed

    Jones, Shannon L; Hadjistavropoulos, Heather D; Gullickson, Kirsten

    2014-01-01

    Health anxiety is a persistent fear of illness or disease that often involves the misinterpretation of bodily symptoms as signs of serious illness. Evidence shows that health anxiety affects a proportion of women following a diagnosis of breast cancer, but there are some limitations to how health anxiety has been measured. The objectives of this study were to (1) provide an estimate of clinically elevated health anxiety in women after a diagnosis of breast cancer using a validated measure appropriate for medical populations and (2) understand patient, disease, and anxiety/vulnerability variables that predict health anxiety in this group. Canadian women (n = 137) diagnosed with breast cancer within the past five years completed an online survey measuring health anxiety, along with patient, disease, and anxiety/vulnerability variables. Clinically significant health anxiety was reported by 23.4% of the sample. The regression model revealed that younger age, more advanced stage of breast cancer, increased cognitive anxiety sensitivity, and greater body vigilance were significant unique predictors of health anxiety. These findings highlight that a proportion of women report substantial health anxiety following breast cancer diagnosis, with a combination of patient, disease, and anxiety/vulnerability variables associated with the experience. Further research is needed to better understand the impact of health anxiety in this population.

  5. Obesity, Cholesterol Metabolism and Breast Cancer Pathogenesis

    PubMed Central

    McDonnell, Donald P.; Park, Sunghee; Goulet, Matthew T.; Jasper, Jeff; Wardell, Suzanne E.; Chang, Ching-yi; Norris, John D.; Guyton, John R.; Nelson, Erik R.

    2014-01-01

    Obesity and altered lipid metabolism are risk factors for breast cancer in pre- and post-menopausal women. These pathologic relationships have been attributed in part to the impact of cholesterol on the biophysical properties of cell membranes and to the influence of these changes on signaling events initiated at the membrane. However, more recent studies have indicated that the oxysterol 27-hydroxycholesterol (27HC), and not cholesterol per se, may be the primary biochemical link between lipid metabolism and cancer. The enzyme responsible for production of 27HC from cholesterol, CYP27A1, is expressed primarily in the liver and in macrophages. In addition significantly elevated expression of this enzyme within breast tumors has also been observed. It is believed that 27HC, acting through the liver X receptor (LXR) in macrophages and possibly other cells is involved in maintaining organismal cholesterol homeostasis. It has also been shown recently that 27HC is an estrogen receptor (ER) agonist in breast cancer cells and that it stimulates the growth and metastasis of tumors in several models of breast cancer. These findings provide the rationale for the clinical evaluation of pharmaceutical approaches that interfere with cholesterol/27HC synthesis as a means to mitigate the impact of cholesterol on breast cancer pathogenesis. PMID:25060521

  6. Assessing the prediction accuracy of cure in the Cox proportional hazards cure model: an application to breast cancer data.

    PubMed

    Asano, Junichi; Hirakawa, Akihiro; Hamada, Chikuma

    2014-01-01

    A cure rate model is a survival model incorporating the cure rate with the assumption that the population contains both uncured and cured individuals. It is a powerful statistical tool for prognostic studies, especially in cancer. The cure rate is important for making treatment decisions in clinical practice. The proportional hazards (PH) cure model can predict the cure rate for each patient. This contains a logistic regression component for the cure rate and a Cox regression component to estimate the hazard for uncured patients. A measure for quantifying the predictive accuracy of the cure rate estimated by the Cox PH cure model is required, as there has been a lack of previous research in this area. We used the Cox PH cure model for the breast cancer data; however, the area under the receiver operating characteristic curve (AUC) could not be estimated because many patients were censored. In this study, we used imputation-based AUCs to assess the predictive accuracy of the cure rate from the PH cure model. We examined the precision of these AUCs using simulation studies. The results demonstrated that the imputation-based AUCs were estimable and their biases were negligibly small in many cases, although ordinary AUC could not be estimated. Additionally, we introduced the bias-correction method of imputation-based AUCs and found that the bias-corrected estimate successfully compensated the overestimation in the simulation studies. We also illustrated the estimation of the imputation-based AUCs using breast cancer data.

  7. Evaluation of cytotoxic and chemotherapeutic properties of boldine in breast cancer using in vitro and in vivo models

    PubMed Central

    Paydar, Mohammadjavad; Kamalidehghan, Behnam; Wong, Yi Li; Wong, Won Fen; Looi, Chung Yeng; Mustafa, Mohd Rais

    2014-01-01

    To date, plants have been the major source of anticancer drugs. Boldine is a natural alkaloid commonly found in the leaves and bark of Peumus boldus. In this study, we found that boldine potently inhibited the viability of the human invasive breast cancer cell lines, MDA-MB-231 (48-hour IC50 46.5±3.1 μg/mL) and MDA-MB-468 (48-hour IC50 50.8±2.7 μg/mL). Boldine had a cytotoxic effect and induced apoptosis in breast cancer cells as indicated by a higher amount of lactate dehydrogenase released, membrane permeability, and DNA fragmentation. In addition, we demonstrated that boldine induced cell cycle arrest at G2/M phase. The anticancer mechanism is associated with disruption of the mitochondrial membrane potential and release of cytochrome c in MDA-MB-231. Boldine selectively induced activation of caspase-9 and caspase-3/7, but not caspase-8. We also found that boldine could inhibit nuclear factor kappa B activation, a key molecule in tumor progression and metastasis. In addition, protein array and Western blotting analysis showed that treatment with boldine resulted in downregulation of Bcl-2 and heat shock protein 70 and upregulation of Bax in the MDA-MB-231 cell line. An acute toxicity study in rats revealed that boldine at a dose of 100 mg/kg body weight was well tolerated. Moreover, intraperitoneal injection of boldine (50 or 100 mg/kg) significantly reduced tumor size in an animal model of breast cancer. Our results suggest that boldine is a potentially useful agent for the treatment of breast cancer. PMID:24944509

  8. Evaluation of cytotoxic and chemotherapeutic properties of boldine in breast cancer using in vitro and in vivo models.

    PubMed

    Paydar, Mohammadjavad; Kamalidehghan, Behnam; Wong, Yi Li; Wong, Won Fen; Looi, Chung Yeng; Mustafa, Mohd Rais

    2014-01-01

    To date, plants have been the major source of anticancer drugs. Boldine is a natural alkaloid commonly found in the leaves and bark of Peumus boldus. In this study, we found that boldine potently inhibited the viability of the human invasive breast cancer cell lines, MDA-MB-231 (48-hour IC₅₀ 46.5±3.1 μg/mL) and MDA-MB-468 (48-hour IC₅₀ 50.8±2.7 μg/mL). Boldine had a cytotoxic effect and induced apoptosis in breast cancer cells as indicated by a higher amount of lactate dehydrogenase released, membrane permeability, and DNA fragmentation. In addition, we demonstrated that boldine induced cell cycle arrest at G2/M phase. The anticancer mechanism is associated with disruption of the mitochondrial membrane potential and release of cytochrome c in MDA-MB-231. Boldine selectively induced activation of caspase-9 and caspase-3/7, but not caspase-8. We also found that boldine could inhibit nuclear factor kappa B activation, a key molecule in tumor progression and metastasis. In addition, protein array and Western blotting analysis showed that treatment with boldine resulted in downregulation of Bcl-2 and heat shock protein 70 and upregulation of Bax in the MDA-MB-231 cell line. An acute toxicity study in rats revealed that boldine at a dose of 100 mg/kg body weight was well tolerated. Moreover, intraperitoneal injection of boldine (50 or 100 mg/kg) significantly reduced tumor size in an animal model of breast cancer. Our results suggest that boldine is a potentially useful agent for the treatment of breast cancer.

  9. CXCR4/CXCL12 Participate in Extravasation of Metastasizing Breast Cancer Cells within the Liver in a Rat Model

    PubMed Central

    Krasnyanska, Julia; Mees, Sören Torge; Kochetkova, Marina; Stoeppeler, Sandra; Haier, Jörg

    2012-01-01

    Introduction Organ-specific composition of extracellular matrix proteins (ECM) is a determinant of metastatic host organ involvement. The chemokine CXCL12 and its receptor CXCR4 play important roles in the colonization of human breast cancer cells to their metastatic target organs. In this study, we investigated the effects of chemokine stimulation on adhesion and migration of different human breast cancer cell lines in vivo and in vitro with particular focus on the liver as a major metastatic site in breast cancer. Methods Time lapse microscopy, in vitro adhesion and migration assays were performed under CXCL12 stimulation. Activation of small GTPases showed chemokine receptor signalling dependence from ECM components. The initial events of hepatic colonisation of MDA-MB-231 and MDA-MB-468 cells were investigated by intravital microscopy of the liver in a rat model and under shRNA inhibition of CXCR4. Results In vitro, stimulation with CXCL12 induced increased chemotactic cell motility (p<0.05). This effect was dependent on adhesive substrates (type I collagen, fibronectin and laminin) and induced different responses in small GTPases, such as RhoA and Rac-1 activation, and changes in cell morphology. In addition, binding to various ECM components caused redistribution of chemokine receptors at tumour cell surfaces. In vivo, blocking CXCR4 decreased extravasation of highly metastatic MDA-MB-231 cells (p<0.05), but initial cell adhesion within the liver sinusoids was not affected. In contrast, the less metastatic MDA-MB-468 cells showed reduced cell adhesion but similar migration within the hepatic microcirculation. Conclusion: Chemokine-induced extravasation of breast cancer cells along specific ECM components appears to be an important regulator but not a rate-limiting factor of their metastatic organ colonization. PMID:22253872

  10. p53 deficiency induces cancer stem cell pool expansion in a mouse model of triple-negative breast tumors.

    PubMed

    Chiche, A; Moumen, M; Romagnoli, M; Petit, V; Lasla, H; Jézéquel, P; de la Grange, P; Jonkers, J; Deugnier, M-A; Glukhova, M A; Faraldo, M M

    2016-10-24

    Triple-negative breast cancer is a heterogeneous disease characterized by the expression of basal cell markers, no estrogen or progesterone receptor expression and a lack of HER2 overexpression. Triple-negative tumors often display activated Wnt/β-catenin signaling and most have impaired p53 function. We studied the interplay between p53 loss and Wnt/β-catenin signaling in stem cell function and tumorigenesis, by deleting p53 from the mammary epithelium of K5ΔNβcat mice displaying a constitutive activation of Wnt/β-catenin signaling in basal cells. K5ΔNβcat transgenic mice present amplification of the basal stem cell pool and develop triple-negative mammary carcinomas. The loss of p53 in K5ΔNβcat mice led to an early expansion of mammary stem/progenitor cells and accelerated the formation of triple-negative tumors. In particular, p53-deficient tumors expressed high levels of integrins and extracellular matrix components and were enriched in cancer stem cells. They also overexpressed the tyrosine kinase receptor Met, a feature characteristic of human triple-negative breast tumors. The inhibition of Met kinase activity impaired tumorsphere formation, demonstrating the requirement of Met signaling for cancer stem cell growth in this model. Human basal-like breast cancers with predicted mutated p53 status had higher levels of MET expression than tumors with wild-type p53. These results connect p53 loss and β-catenin activation to stem cell regulation and tumorigenesis in triple-negative cancer and highlight the role of Met signaling in maintaining cancer stem cell properties, revealing new cues for targeted therapies.Oncogene advance online publication, 24 October 2016; doi:10.1038/onc.2016.396.

  11. AR Signaling in Breast Cancer

    PubMed Central

    Rahim, Bilal; O’Regan, Ruth

    2017-01-01

    Androgen receptor (AR, a member of the steroid hormone receptor family) status has become increasingly important as both a prognostic marker and potential therapeutic target in breast cancer. AR is expressed in up to 90% of estrogen receptor (ER) positive breast cancer, and to a lesser degree, human epidermal growth factor 2 (HER2) amplified tumors. In the former, AR signaling has been correlated with a better prognosis given its inhibitory activity in estrogen dependent disease, though conversely has also been shown to increase resistance to anti-estrogen therapies such as tamoxifen. AR blockade can mitigate this resistance, and thus serves as a potential target in ER-positive breast cancer. In HER2 amplified breast cancer, studies are somewhat conflicting, though most show either no effect or are associated with poorer survival. Much of the available data on AR signaling is in triple-negative breast cancer (TNBC), which is an aggressive disease with inferior outcomes comparative to other breast cancer subtypes. At present, there are no approved targeted therapies in TNBC, making study of the AR signaling pathway compelling. Gene expression profiling studies have also identified a luminal androgen receptor (LAR) subtype that is dependent on AR signaling in TNBC. Regardless, there seems to be an association between AR expression and improved outcomes in TNBC. Despite lower pathologic complete response (pCR) rates with neoadjuvant therapy, patients with AR-expressing TNBC have been shown to have a better prognosis than those that are AR-negative. Clinical studies targeting AR have shown somewhat promising results. In this paper we review the literature on the biology of AR in breast cancer and its prognostic and predictive roles. We also present our thoughts on therapeutic strategies. PMID:28245550

  12. AR Signaling in Breast Cancer.

    PubMed

    Rahim, Bilal; O'Regan, Ruth

    2017-02-24

    Androgen receptor (AR, a member of the steroid hormone receptor family) status has become increasingly important as both a prognostic marker and potential therapeutic target in breast cancer. AR is expressed in up to 90% of estrogen receptor (ER) positive breast cancer, and to a lesser degree, human epidermal growth factor 2 (HER2) amplified tumors. In the former, AR signaling has been correlated with a better prognosis given its inhibitory activity in estrogen dependent disease, though conversely has also been shown to increase resistance to anti-estrogen therapies such as tamoxifen. AR blockade can mitigate this resistance, and thus serves as a potential target in ER-positive breast cancer. In HER2 amplified breast cancer, studies are somewhat conflicting, though most show either no effect or are associated with poorer survival. Much of the available data on AR signaling is in triple-negative breast cancer (TNBC), which is an aggressive disease with inferior outcomes comparative to other breast cancer subtypes. At present, there are no approved targeted therapies in TNBC, making study of the AR signaling pathway compelling. Gene expression profiling studies have also identified a luminal androgen receptor (LAR) subtype that is dependent on AR signaling in TNBC. Regardless, there seems to be an association between AR expression and improved outcomes in TNBC. Despite lower pathologic complete response (pCR) rates with neoadjuvant therapy, patients with AR-expressing TNBC have been shown to have a better prognosis than those that are AR-negative. Clinical studies targeting AR have shown somewhat promising results. In this paper we review the literature on the biology of AR in breast cancer and its prognostic and predictive roles. We also present our thoughts on therapeutic strategies.

  13. Veliparib, Cisplatin, and Vinorelbine Ditartrate in Treating Patients With Recurrent and/or Metastatic Breast Cancer

    ClinicalTrials.gov

    2017-02-27

    Estrogen Receptor-negative Breast Cancer; HER2-negative Breast Cancer; Hereditary Breast/Ovarian Cancer - BRCA1; Hereditary Breast/Ovarian Cancer - BRCA2; Male Breast Cancer; Progesterone Receptor-negative Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Triple-negative Breast Cancer

  14. Alternative Dosing of Exemestane Before Surgery in Treating Postmenopausal Patients With Stage 0-II Estrogen Positive Breast Cancer

    ClinicalTrials.gov

    2017-02-17

    Estrogen Receptor Positive; Postmenopausal; Stage 0 Breast Cancer; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  15. Fulvestrant and Palbociclib in Treating Older Patients With Hormone Responsive Breast Cancer That Cannot Be Removed by Surgery

    ClinicalTrials.gov

    2016-09-21

    Estrogen Receptor and/or Progesterone Receptor Positive; HER2/Neu Negative; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  16. Minocycline Hydrochloride in Reducing Chemotherapy Induced Depression and Anxiety in Patients With Stage I-III Breast Cancer

    ClinicalTrials.gov

    2017-01-28

    Anxiety Disorder; Depression; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  17. Heavy Metal Exposure in Predicting Peripheral Neuropathy in Patients With Stage I-III Breast Cancer Undergoing Chemotherapy

    ClinicalTrials.gov

    2015-05-01

    Male Breast Cancer; Neurotoxicity; Peripheral Neuropathy; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  18. Addressing Breast Cancer's Unequal Burden

    MedlinePlus

    ... be useful for all women. How will the study work? The initiative will gather data from 18 smaller studies. While some of these studies were able to ... future cancer research among minority populations. Dr. Martin's work seeks to ... women in breast cancer studies? Historically, trust has been a key issue in ...

  19. Loneliness May Sabotage Breast Cancer Survival: Study

    MedlinePlus

    ... gov/news/fullstory_162498.html Loneliness May Sabotage Breast Cancer Survival: Study Weak social ties linked to higher ... 2016 (HealthDay News) -- Loneliness may impede long-term breast cancer survival, a new study suggests. In the years ...

  20. Screening for Breast Cancer: Staging and Treatment

    MedlinePlus

    ... page please turn JavaScript on. Feature: Screening For Breast Cancer Staging and Treatment Past Issues / Summer 2014 Table of Contents Staging The extent (stage) of breast cancer needs to be determined to help choose the ...

  1. Screening for Breast Cancer: Detection and Diagnosis

    MedlinePlus

    ... page please turn JavaScript on. Feature: Screening For Breast Cancer Detection and Diagnosis Past Issues / Summer 2014 Table ... States Preventive Services Task Force updated recommendations on breast cancer screening, suggesting that women ages 50 to 74 ...

  2. Breast Cancer and Estrogen-Alone Update

    MedlinePlus

    ... Current Issue Past Issues Research News From NIH Breast Cancer and Estrogen-Alone Update Past Issues / Summer 2006 ... hormone therapy does not increase the risk of breast cancer in postmenopausal women, according to an updated analysis ...

  3. Breast Cancer and the Environment Research Program

    Cancer.gov

    The Breast Cancer and the Environment Research Program supports a multidisciplinary network of scientists, clinicians, and community partners to examine the effects of environmental exposures that may predispose a woman to breast cancer throughout her life.

  4. Predictive Models for Pulmonary Function Changes After Radiotherapy for Breast Cancer and Lymphoma

    SciTech Connect

    Sanchez-Nieto, Beatriz; Goset, Karen C.; Caviedes, Ivan; Delgado, Iris O.; Cordova, Andres

    2012-02-01

    Purpose: To propose multivariate predictive models for changes in pulmonary function tests ({Delta}PFTs) with respect to preradiotherapy (pre-RT) values in patients undergoing RT for breast cancer and lymphoma. Methods and Materials: A prospective study was designed to measure {Delta}PFTs of patients undergoing RT. Sixty-six patients were included. Spirometry, lung capacity (measured by helium dilution), and diffusing capacity of carbon monoxide tests were used to measure lung function. Two lung definitions were considered: paired lung vs. irradiated lung (IL). Correlation analysis of dosimetric parameters (mean lung dose and the percentage of lung volume receiving more than a threshold dose) and {Delta}PFTs was carried out to find the best dosimetric predictor. Chemotherapy, age, smoking, and the selected dose-volume parameter were considered as single and interaction terms in a multivariate analysis. Stability of results was checked by bootstrapping. Results: Both lung definitions proved to be similar. Modeling was carried out for IL. Acute and late damage showed the highest correlations with volumes irradiated above {approx}20 Gy (maximum R{sup 2} = 0.28) and {approx}40 Gy (maximum R{sup 2} = 0.21), respectively. RT alone induced a minor and transitory restrictive defect (p = 0.013). Doxorubicin-cyclophosphamide-paclitaxel (Taxol), when administered pre-RT, induced a late, large restrictive effect, independent of RT (p = 0.031). Bootstrap values confirmed the results. Conclusions: None of the dose-volume parameters was a perfect predictor of outcome. Thus, different predictor models for {Delta}PFTs were derived for the IL, which incorporated other nondosimetric parameters mainly through interaction terms. Late {Delta}PFTs seem to behave more serially than early ones. Large restrictive defects were demonstrated in patients pretreated with doxorubicin-cyclophosphamide-paclitaxel.

  5. Collagen Prolyl Hydroxylases are Essential for Breast Cancer Metastasis

    PubMed Central

    Gilkes, Daniele M.; Chaturvedi, Pallavi; Bajpai, Saumendra; Wong, Carmen Chak-Lui; Wei, Hong; Pitcairn, Stephen; Hubbi, Maimon E.; Wirtz, Denis; Semenza, Gregg L.

    2013-01-01

    Metastasis is the leading cause of death among patients with breast cancer. Understanding the role of the extracellular matrix in the metastatic process may lead to the development of improved therapies for cancer patients. Intratumoral hypoxia is found in the majority of breast cancers and is associated with an increased risk of metastasis and patient mortality. Here we demonstrate that hypoxia-inducible factor 1 activates the transcription of genes encoding collagen prolyl hydroxylases that are critical for collagen deposition by breast cancer cells. We show that expression of collagen prolyl hydroxylases promotes cancer cell alignment along collagen fibers, resulting in enhanced invasion and metastasis to lymph nodes and lungs. Lastly, we establish the prognostic significance of collagen prolyl hydroxylase mRNA expression in human breast cancer biopsies, and demonstrate that ethyl 3,4-dihydroxybenzoate, a prolyl hydroxylase inhibitor, decreases tumor fibrosis and metastasis in a mouse model of breast cancer. PMID:23539444

  6. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Isolation of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Isolate of long-term growth human mammary epithelial cells (HMEC) from outgrowth of duct element; cells shown soon after isolation and early in culture in a dish. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Robert Tichmond, NASA/Marshall Space Flight Center (MSFC).

  7. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Isolation of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Same long-term growth human mammary epithelial cells (HMEC), but after 3 weeks in concinuous culture. Note attempts to reform duct elements, but this time in two dimensions in a dish rather that in three demensions in tissue. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Robert Tichmond, NASA/Marshall Space Flight Center (MSFC).

  8. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Isolation of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Outgrowth of cells from duct element in upper right corner cultured in a standard dish; most cells spontaneously die during early cell divisions, but a few will establish long-term growth. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Robert Tichmond, NASA/Marshall Space Flight Center (MSFC).

  9. Multi-epitope Folate Receptor Alpha Peptide Vaccine, Sargramostim, and Cyclophosphamide in Treating Patients With Triple Negative Breast Cancer

    ClinicalTrials.gov

    2017-01-24

    Bilateral Breast Carcinoma; Estrogen Receptor Negative; HER2/Neu Negative; Progesterone Receptor Negative; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Triple-Negative Breast Carcinoma; Unilateral Breast Carcinoma

  10. Breast Cancer Stem Cells in Antiestrogen Resistance

    DTIC Science & Technology

    2013-08-01

    stimulated by antiestrogens. The effects of antiestrogens on the ER-positive breast cancer stem/progenitor involve changes of both proliferation and...self-renewal capabilities of breast cancer stem/progenitor cells. The effects of antiestrogens on the ER- positive breast cancer stem/progenitor...potent tumor-seeding efficiency. . Fig 3. The effects of antiestrogens on the differentiation of ER-positive breast cancer stem cells expressing

  11. The Epidemiology of Male Breast Cancer.

    PubMed

    Ferzoco, Raina M; Ruddy, Kathryn J

    2016-01-01

    Male breast cancer is a rare disease, accounting for only 1% of breast cancer diagnoses in the USA. The current literature suggests that genetic factors including BRCA2 mutations, family history, age, androgen/estrogen imbalance, and environmental exposures may predispose to male breast cancer. In this manuscript, we will review known and possible risk factors for male breast cancer, as well as describe the clinical patterns of the disease.

  12. Vitamin D, Breast Cancer, and Bone Health

    DTIC Science & Technology

    2011-05-01

    breast cancer subjects and those at high risk of breast cancer . Currently recommended vitamin D supplemental doses are only appropriate for patients...for those at high risk for breast cancer . Currently recommended doses of vitamin D are appropriate for subjects with normal vitamin D levels and for...sunscreen use, clothing , and increasing amount of time spent indoors or on transportation). Vitamin D and breast cancer prevention Vitamin D

  13. Pro-Apoptotic Breast Cancer Nanotherapeutics

    DTIC Science & Technology

    2013-07-01

    basal-like breast cancer using a novel nanotechnology platform pioneered by my mentor Prof. Stupp. Our original plan was to combine nanoparticles ...Fellowship has supported my training in translational breast cancer research as part of an interdisciplinary team of scientists using nanotechnology to...basal-like breast cancer . 15. SUBJECT TERMS Nanotechnology ; Peptide Amphiphile; Drug Delivery; Breast Cancer ; Cell Death 16. SECURITY CLASSIFICATION OF

  14. Evaluate Risk/Benefit of Nab Paclitaxel in Combination With Gemcitabine and Carboplatin Compared to Gemcitabine and Carboplatin in Triple Negative Metastatic Breast Cancer (or Metastatic Triple Negative Breast Cancer)

    ClinicalTrials.gov

    2017-03-30

    Breast Tumor; Breast Cancer; Cancer of the Breast; Estrogen Receptor- Negative Breast Cancer; HER2- Negative Breast Cancer; Progesterone Receptor- Negative Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Triple-negative Breast Cancer; Triple-negative Metastatic Breast Cancer; Metastatic Breast Cancer

  15. Targeting HER2 Positive Breast Cancer with Chemopreventive Agents

    PubMed Central

    Wahler, Joseph; Suh, Nanjoo

    2015-01-01

    Human epidermal growth factor receptor 2-positive (HER2+) breast cancer is a subtype of breast cancer that is exhibited in approximately 20-30% of breast cancer cases. The overexpression of HER2 is typically associated with a more aggressive disease and poor prognosis. Currently, the therapeutic drugs trastuzumab and lapatinib are the most commonly used to combat HER2+ breast cancer. However, tumors can develop resistance to these drugs. A better understanding of the mechanism of how HER2+ breast cancer works will help aid the development for new therapeutic approaches which more closely target the source of the signaling dysfunction. This review summarizes four major points in the context of HER2 over-expressing breast cancer (i) HER2 as a molecular target in breast cancer therapy, (ii) current treatment options as well as ongoing clinical studies, (iii) animal and cellular models for the study of HER2 over-expressing breast cancer, and (iv) future therapies and chemopreventive agents used to target HER2+ breast cancer. PMID:26442201

  16. Breast cancer: a psychogenic disease?

    PubMed

    Hiller, J E

    1989-01-01

    Over the centuries, the breast cancer literature has contained numerous references to the role of psychological factors in the etiology of the disease. Theories and research findings pertaining to this work are reviewed, with a focus on twentieth century work. The specific hypotheses examined in each historic period can be seen in the context of views held about women in society. Epidemiologic features of breast cancer, particularly certain reproductive behaviors, are associated with specific lifestyles, and these features lend themselves to the investigation of the role of personality in the etiology of the disease. In the eighteenth and 19th centuries, clinicians wrote of the role of depression, grief and anxiety in the etiology of breast cancer. Hard work, which women were not supposed to engage in, resulted in breast tumors. The rise of interest in psychodynamic theories in the twentieth century resulted in a proliferation of investigations demonstrating the association between sexual repression or ambivalence about the female role and breast cancer. The language of psychoanalysis was used throughout society. Single women, at increased risk of breast cancer, were seen as suffering from unconscious rejection of their femininity. Although the study designs used to investigate this association were inadequate and the findings equivocal, belief in this association has continued. More recent work in this field has focussed on the role of repressed anger, reflecting a societal preoccupation with constraints on self-expression. Hypotheses regarding the psychological etiology of breast cancer can be examined in the social context in which they evolve and tend to reflect views of women rather than truths derived from research data.

  17. Multicenter Breast Cancer Collaborative Registry

    PubMed Central

    Sherman, Simon; Shats, Oleg; Fleissner, Elizabeth; Bascom, George; Yiee, Kevin; Copur, Mehmet; Crow, Kate; Rooney, James; Mateen, Zubeena; Ketcham, Marsha A.; Feng, Jianmin; Sherman, Alexander; Gleason, Michael; Kinarsky, Leo; Silva-Lopez, Edibaldo; Edney, James; Reed, Elizabeth; Berger, Ann; Cowan, Kenneth

    2011-01-01

    The Breast Cancer Collaborative Registry (BCCR) is a multicenter web-based system that efficiently collects and manages a variety of data on breast cancer (BC) patients and BC survivors. This registry is designed as a multi-tier web application that utilizes Java Servlet/JSP technology and has an Oracle 11g database as a back-end. The BCCR questionnaire has accommodated standards accepted in breast cancer research and healthcare. By harmonizing the controlled vocabulary with the NCI Thesaurus (NCIt) or Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT), the BCCR provides a standardized approach to data collection and reporting. The BCCR has been recently certified by the National Cancer Institute’s Center for Biomedical Informatics and Information Technology (NCI CBIIT) as a cancer Biomedical Informatics Grid (caBIG®) Bronze Compatible product. The BCCR is aimed at facilitating rapid and uniform collection of critical information and biological samples to be used in developing diagnostic, prevention, treatment, and survivorship strategies against breast cancer. Currently, seven cancer institutions are participating in the BCCR that contains data on almost 900 subjects (BC patients and survivors, as well as individuals at high risk of getting BC). PMID:21918596

  18. Chemokines: novel targets for breast cancer metastasis

    PubMed Central

    Ali, Simi; Lazennec, Gwendal

    2007-01-01

    Recent studies have highlighted the possible involvement of chemokines and their receptors in breast cancer progression and metastasis. Chemokines and their receptors constitute a superfamily of signalling factors whose prognosis value in breast cancer progression remains unclear. We will examine here the expression pattern of chemokines and their receptors in mammary gland physiology and carcinogenesis. The nature of the cells producing chemokines or harboring chemokine receptors appears to be crucial in certain conditions for example, the infiltration of the primary tumor by leukocytes and angiogenesis. In addition, chemokines, their receptors and the interaction with glycosaminoglycan (GAGs) are key players in the homing of cancer cells to distant metastasis sites. Several lines of evidence, including in vitro and in vivo models, suggest that the mechanism of action of chemokines in cancer development involves the modulation of proliferation, apoptosis, invasion, leukocyte recruitment or angiogenesis. Furthermore, we will discuss the regulation of chemokine network in tumor neovascularity by decoy receptors. The reasons accounting for the deregulation of chemokines and chemokine receptors expression in breast cancer are certainly crucial for the comprehension of chemokine role in breast cancer and are in several cases linked to estrogen receptor status. The targeting of chemokines and chemokine receptors by antibodies, small molecule antagonists, viral chemokine binding proteins and heparins appears as promising tracks to develop therapeutic strategies. Thus there is significant interest in developing strategies to antagonize the chemokine function, and an opportunity to interfere with metastasis, the leading cause of death in most patients. PMID:17717637

  19. Breast Cancer and Posttraumatic Growth

    PubMed Central

    İnan, Figen Şengün; Üstün, Besti

    2014-01-01

    The current methods for early diagnosis and increased treatment options have improved survival rates in breast cancer. Breast cancer diagnosis effects individuals in physical, psychological and social dimensions either positively or negatively. In the literature, usually the negative effects encountered in the period after the diagnosis of breast cancer are mostly described, with limited data on the positive effects. Nevertheless, the identification of positive changes and defining its determinants is important in supporting and strengthening posttraumatic growth in this group. The objective of this review is to explain posttraumatic growth and its determinants in breast cancer during the post-treatment period in accordance with the relevant literature. In our evaluation, it was noticed that breast cancer survivors experience posttraumatic growth in the post-treatment period, but the literature is limited in explaining the nature of posttraumatic growth and its determinants. Both qualitative and quantitative research that will provide in-depth information on the subject, explaining culture-specific posttraumatic growth and related factors, are required. PMID:28331647

  20. Internet Use and Breast Cancer Survivors

    ERIC Educational Resources Information Center

    Muhamad, Mazanah; Afshari, Mojgan; Mohamed, Nor Aini

    2011-01-01

    A survey was administered to 400 breast cancer survivors at hospitals and support group meetings in Peninsular Malaysia to explore their level of Internet use and factors related to the Internet use by breast cancer survivors. Findings of this study indicated that about 22.5% of breast cancer survivors used Internet to get information about breast…

  1. Do underarm cosmetics cause breast cancer?

    PubMed

    Gikas, Panagiotis D; Mansfield, Lucy; Mokbel, Kefah

    2004-01-01

    Although animal and laboratory studies suggest a possible link between certain chemicals used in underarm cosmetics and breast cancer development, there is no reliable evidence that underarm cosmetics use increases breast cancer risk in humans. This article reviews the evidence for and against the possible link between breast cancer and underarm cosmetics and highlights the need for further research to clarify this issue.

  2. A GM-CSF and CD40L bystander vaccine is effective in a murine breast cancer model

    PubMed Central

    Soliman, Hatem; Mediavilla-Varela, Melanie; Antonia, Scott J

    2015-01-01

    Background There is increasing interest in using cancer vaccines to treat breast cancer patients in the adjuvant setting to prevent recurrence in high risk situations or in combination with other immunomodulators in the advanced setting. Current peptide vaccines are limited by immunologic compatibility issues, and engineered autologous cellular vaccines are difficult to produce on a large scale. Using standardized bystander cell lines modified to secrete immune stimulating adjuvant substances can greatly enhance the ability to produce immunogenic cellular vaccines using unmodified autologous cells or allogeneic medical grade tumor cell lines as targets. We investigated the efficacy of a cellular vaccine using B78H1 bystander cell lines engineered to secrete granulocyte macrophage-colony stimulating factor and CD40 ligand (BCG) in a murine model of breast cancer. Methods Five-week-old female BALB/c mice were injected orthotopically in the mammary fat pad with 4T1 tumor cells. Treatment consisted of irradiated 4T1 ± BCG cells given subcutaneously every 4 days and was repeated three times per mouse when tumors became palpable. Tumors were measured two to three times per week for 25 days. The vaccine’s activity was confirmed in a second experiment using Lewis lung carcinoma (LLC) cells in C57BL/6 mice to exclude a model specific effect. Interferon-γ (IFN-γ) and interleukin-2 (IL-2) enzyme-linked immunospots (ELISPOTS) were performed on splenic lymphocytes incubated with 4T1 lysates along with immunohistochemistry for CD3 on tumor sections. Results Tumor growth was significantly inhibited in the 4T1-BCG and LLC-BCG treatment groups when compared to 4T1 and LLC treatment groups. There were higher levels of IL-2 and IFN-γ secreting T-cells on ELISPOT for BCG treated groups, and a trend for higher numbers of tumor infiltrating CD3+ lymphocytes. Some tumors in the 4T1-BCG demonstrated organized lymphoid structures within the tumor microenvironment as well. Conclusion

  3. Circulating Adipokines and Inflammatory Markers and Postmenopausal Breast Cancer Risk

    PubMed Central

    Wang, Tao; Cushman, Mary; Xue, Xiaonan; Wassertheil-Smoller, Sylvia; Strickler, Howard D.; Rohan, Thomas E.; Manson, JoAnn E.; McTiernan, Anne; Kaplan, Robert C.; Scherer, Philipp E.; Chlebowski, Rowan T.; Snetselaar, Linda; Wang, Dan; Ho, Gloria Y. F.

    2015-01-01

    Background: Adipokines and inflammation may provide a mechanistic link between obesity and postmenopausal breast cancer, yet epidemiologic data on their associations with breast cancer risk are limited. Methods: In a case-cohort analysis nested within the Women’s Health Initiative Observational Study, a prospective cohort of postmenopausal women, baseline plasma samples from 875 incident breast cancer case patients and 839 subcohort participants were tested for levels of seven adipokines, namely leptin, adiponectin, resistin, interleukin-6, tumor necrosis factor-α, hepatocyte growth factor, and plasminogen activator inhibitor-1, and for C-reactive protein (CRP), an inflammatory marker. Data were analyzed by multivariable Cox modeling that included established breast cancer risk factors and previously measured estradiol and insulin levels. All statistical tests were two-sided. Results: The association between plasma CRP levels and breast cancer risk was dependent on hormone therapy (HT) use at baseline (P interaction = .003). In a model that controlled for multiple breast cancer risk factors including body mass index (BMI), estradiol, and insulin, CRP level was positively associated with breast cancer risk among HT nonusers (hazard ratio for high vs low CRP levels = 1.67, 95% confidence interval = 1.04 to 2.68, P trend = .029). None of the other adipokines were statistically significantly associated with breast cancer risk. Following inclusion of CRP, insulin, and estradiol in a multivariable model, the association of BMI with breast cancer was attenuated by 115%. Conclusion: These data indicate that CRP is a risk factor for postmenopausal breast cancer among HT nonusers. Inflammatory mediators, together with insulin and estrogen, may play a role in the obesity–breast cancer relation. PMID:26185195

  4. Recent developments in the ability to predict and modify breast cancer risk.

    PubMed

    Prado, Arturo; Andrades, Patricio; Parada, Francisco

    2010-10-01

    The identification of women at higher risk for breast cancer is a matter of public health and anyone who participates in any treatment modality of this condition (this includes the plastic surgeon) should be aware of the tools and predictive models of breast cancer. Screening for breast cancer in the community, and probably during the daily plastic surgery consultation, until recently, was limited to decisions about when to initiate a mammography study. New developments that predict and modify breast cancer risk must be clearly understood by our specialty through identification of women at higher risk for breast cancer and be familiar with the current issues related to screening and risk-reduction measures. In this review, we discuss current knowledge regarding the recent data of breast cancer risk, screening strategies for high-risk women and medical and surgical approaches to reduce breast cancer risk. Patients with breast cancer belong to one of three groups: a. Sporadic breast cancer (75%)--patients without family history or those who have a breast biopsy with proliferative changes. b. Genetic mutation breast cancer (5%)--women who have a genetic predisposition, and most of these are attributable to mutations in the breast cancer susceptibility gene 1 (BRCA1) and breast cancer susceptibility gene 2 (BRCA2). c. Cluster family breast cancer (20%)--seen in women with a relevant history of breast cancer in the family and breast biopsy with proliferative breast changes with no association with mutations.Those at high risk for breast cancer should investigate the family history with genetic testing consideration, clinical history, including prior breast biopsies and evaluation of mammographic density. Tools for breast cancer risk assessment include the Gail and Claus model, genetic screening,BRCAPRO and others that are evaluated in this review.

  5. Suppressive effects of a proton beam on tumor growth and lung metastasis through the inhibition of metastatic gene expression in 4T1 orthotopic breast cancer model.

    PubMed

    Kwon, Yun-Suk; Lee, Kyu-Shik; Chun, So-Young; Jang, Tae Jung; Nam, Kyung-Soo

    2016-07-01

    A proton beam is a next generation tool to treat intractable cancer. Although the therapeutic effects of a proton beam are well known, the effect on tumor metastasis is not fully described. Here, we investigated the effects of a proton beam on metastasis in highly invasive 4T1 murine breast cancer cells and their orthotopic breast cancer model. Cells were irradiated with 2, 4, 8 or 16 Gy proton beam, and changes in cell proliferation, survival, and migration were observed by MTT, colony forming and wound healing assays. 4T1 breast cancer cell-implanted BALB/c mice were established and the animals were randomly divided into 4 groups when tumor size reached 200 mm3. Breast tumors were selectively irradiated with 10, 20 or 30 Gy proton beam. Breast tumor sizes were measured twice a week, and breast tumor and lung tissues were pathologically observed. Metastasis-regulating gene expression was assessed with quantitative RT-PCR. A proton beam dose-dependently decreased cell proliferation, survival and migration in 4T1 murine breast cancer cells. Also, growth of breast tumors in the 4T1 orthotopic breast cancer model was significantly suppressed by proton beam irradiation without significant change of body weight. Furthermore, fewer tumor nodules metastasized from breast tumor into lung in mice irradiated with 30 Gy proton beam, but not with 10 and 20 Gy, than in control. We observed correspondingly lower expression levels of urokinase plasminogen activator (uPA), uPA receptor, cyclooxygenase (COX)-2, and vascular endothelial growth factor (VEGF), which are important factors in cancer metastasis, in breast tumor irradiated with 30 Gy proton beam. Proton beam irradiation did not affect expressions of matrix metalloproteinase (MMP)-9 and MMP-2. Taken together, the data suggest that, although proton beam therapy is an effective tool for breast cancer treatment, a suitable dose is necessary to prevent metastasis-linked relapse and poor prognosis.

  6. Can We Prevent Breast Cancer?

    PubMed Central

    Saadat, Sabiha

    2008-01-01

    Breast cancer is the second most common cancer in the world and the most common cancer in females accounting to 23% of all cases. Between January 1998 and December 2004–2004, 6,882 cases were reported from all GCC states accounting to 11.8% from all cancers and 22.7% from cancers in females. An ASR/100,000 woman was 46.4 from Bahrain, 44.3 from Kuwait, 35.5 from Qatar, 19.2 from UAE, 14.2 from Oman and 12.9 from KSA. Breast cancer is the most frequent cancer in Arab women constituting 14–42% of all women cancers. Breast cancer in Arab countries presents almost 10 yrs younger than in USA and Europe. Median age at presentation is 48–52 and 50% of all cases are below the age of 50 where as only 25% of cases in industrialized nations are below the age of 50 yrs. What we need to fight this deadly disease is opening of screening centers with trained physicians equipped with ultrasound, x-ray unit, a pathology lab and most of all a system where a patient is seen urgently on referral to a secondary level care. Health education campaigns should be organized, female medical students should be encouraged to be general surgeons in a community where social customs still have value. PMID:21475500

  7. Type III Collagen Directs Stromal Organization and Limits Metastasis in a Murine Model of Breast Cancer.

    PubMed

    Brisson, Becky K; Mauldin, Elizabeth A; Lei, Weiwei; Vogel, Laurie K; Power, Ashley M; Lo, Albert; Dopkin, Derek; Khanna, Chand; Wells, Rebecca G; Puré, Ellen; Volk, Susan W

    2015-05-01

    Breast cancer metastasis is the leading cause of cancer-related deaths in women worldwide. Collagen in the tumor microenvironment plays a crucial role in regulating tumor progression. We have shown that type III collagen (Col3), a component of tumor stroma, regulates myofibroblast differentiation and scar formation after cutaneous injury. During the course of these wound-healing studies, we noted that tumors developed at a higher frequency in Col3(+/-) mice compared to wild-type littermate controls. We, therefore, examined the effect of Col3 deficiency on tumor behavior, using the murine mammary carcinoma cell line 4T1. Notably, tumor volume and pulmonary metastatic burden after orthotopic injection of 4T1 cells were increased in Col3(+/-) mice compared to Col3(+/+) littermates. By using murine (4T1) and human (MDA-MB-231) breast cancer cells grown in Col3-poor and Col3-enriched microenvironments in vitro, we found that several major events of the metastatic process were suppressed by Col3, including adhesion, invasion, and migration. In addition, Col3 deficiency increased proliferation and decreased apoptosis of 4T1 cells both in vitro and in primary tumors in vivo. Mechanistically, Col3 suppresses the procarcinogenic microenvironment by regulating stromal organization, including density and alignment of fibrillar collagen and myofibroblasts. We propose that Col3 plays an important role in the tumor microenvironment by suppressing metastasis-promoting characteristics of the tumor-associated stroma.

  8. Selection of a Relevant In Vitro Blood-Brain Barrier Model to Investigate Pro-Metastatic Features of Human Breast Cancer Cell Lines

    PubMed Central

    Drolez, Aurore; Vandenhaute, Elodie; Julien, Sylvain; Gosselet, Fabien; Burchell, Joy; Cecchelli, Roméo; Delannoy, Philippe; Dehouck, Marie-Pierre; Mysiorek, Caroline

    2016-01-01

    Around 7–17% of metastatic breast cancer patients will develop brain metastases, associated with a poor prognosis. To reach the brain parenchyma, cancer cells need to cross the highly restrictive endothelium of the Blood-Brain Barrier (BBB). As treatments for brain metastases are mostly inefficient, preventing cancer cells to reach the brain could provide a relevant and important strategy. For that purpose an in vitro approach is required to identify cellular and molecular interaction mechanisms between breast cancer cells and BBB endothelium, notably at the early steps of the interaction. However, while numerous studies are performed with in vitro models, the heterogeneity and the quality of BBB models used is a limitation to the extrapolation of the obtained results to in vivo context, showing that the choice of a model that fulfills the biological BBB characteristics is essential. Therefore, we compared pre-established and currently used in vitro models from different origins (bovine, mice, human) in order to define the most appropriate tool to study interactions between breast cancer cells and the BBB. On each model, the BBB properties and the adhesion capacities of breast cancer cell lines were evaluated. As endothelial cells represent the physical restriction site of the BBB, all the models consisted of endothelial cells from animal or human origins. Among these models, only the in vitro BBB model derived from human stem cells both displayed BBB properties and allowed measurement of meaningful different interaction capacities of the cancer cell lines. Importantly, the measured adhesion and transmigration were found to be in accordance with the cancer cell lines molecular subtypes. In addition, at a molecular level, the inhibition of ganglioside biosynthesis highlights the potential role of glycosylation in breast cancer cells adhesion capacities. PMID:26958843

  9. Selection of a Relevant In Vitro Blood-Brain Barrier Model to Investigate Pro-Metastatic Features of Human Breast Cancer Cell Lines.

    PubMed

    Drolez, Aurore; Vandenhaute, Elodie; Julien, Sylvain; Gosselet, Fabien; Burchell, Joy; Cecchelli, Roméo; Delannoy, Philippe; Dehouck, Marie-Pierre; Mysiorek, Caroline

    2016-01-01

    Around 7-17% of metastatic breast cancer patients will develop brain metastases, associated with a poor prognosis. To reach the brain parenchyma, cancer cells need to cross the highly restrictive endothelium of the Blood-Brain Barrier (BBB). As treatments for brain metastases are mostly inefficient, preventing cancer cells to reach the brain could provide a relevant and important strategy. For that purpose an in vitro approach is required to identify cellular and molecular interaction mechanisms between breast cancer cells and BBB endothelium, notably at the early steps of the interaction. However, while numerous studies are performed with in vitro models, the heterogeneity and the quality of BBB models used is a limitation to the extrapolation of the obtained results to in vivo context, showing that the choice of a model that fulfills the biological BBB characteristics is essential. Therefore, we compared pre-established and currently used in vitro models from different origins (bovine, mice, human) in order to define the most appropriate tool to study interactions between breast cancer cells and the BBB. On each model, the BBB properties and the adhesion capacities of breast cancer cell lines were evaluated. As endothelial cells represent the physical restriction site of the BBB, all the models consisted of endothelial cells from animal or human origins. Among these models, only the in vitro BBB model derived from human stem cells both displayed BBB properties and allowed measurement of meaningful different interaction capacities of the cancer cell lines. Importantly, the measured adhesion and transmigration were found to be in accordance with the cancer cell lines molecular subtypes. In addition, at a molecular level, the inhibition of ganglioside biosynthesis highlights the potential role of glycosylation in breast cancer cells adhesion capacities.

  10. Multiple primary breast and thyroid cancer.

    PubMed Central

    Ron, E.; Curtis, R.; Hoffman, D. A.; Flannery, J. T.

    1984-01-01

    The occurrence of breast and thyroid multiple primary cancers was evaluated using data from the Connecticut Tumor Registry. The study population consisted of 1618 women with primary thyroid cancer and 39,194 women with primary breast cancer diagnosed between 1935 and 1978. Thirty-four thyroid cancer patients subsequently developed breast cancer and 24 breast cancer patients later had thyroid cancer. A significantly elevated risk of thyroid cancer following breast cancer (SIR = 1.68) and breast cancer following thyroid cancer (SIR = 1.89) was demonstrated. The finding was even more notable when compared with the risks obtained for other sites. The elevated risk was particularly evident in women under 40 years of age at time of diagnosis of the first cancer. Analysis by histologic type revealed that the highest risk of second primary breast cancer was found among patients with follicular or mixed papillary-follicular thyroid cancer. Women under age 40 with follicular carcinoma had a 10-fold risk of developing breast cancer (4 observed, 0.4 expected). An enhanced risk of second primary tumours was evident for the entire period after treatment of the first primary, although it was highest within one year after diagnosis of the first primary. This may be due to the close medical surveillance of cancer patients which would increase early diagnosis of second tumours. Our findings suggest that breast and thyroid cancer may share common aetiologic features. PMID:6691901

  11. Validation of a Pre-Clinical Model for the Investigation of Menarcheal Age on Breast Cancer Risk

    DTIC Science & Technology

    2006-09-01

    relationship between age at vaginal opening (VO), a marker for ovarian function, and susceptibility to MNU-induced mammary cancer and 2) investigate...the Investigation of Menarcheal Age on Breast Cancer Risk PRINCIPAL INVESTIGATOR: Pepper J. Schedin, Ph.D. CONTRACTING...of Menarcheal Age on Breast Cancer Risk 5b. GRANT NUMBER W81XWH-05-1-0499 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER

  12. Multiparametric Breast MRI of Breast Cancer

    PubMed Central

    Rahbar, Habib; Partridge, Savannah C.

    2015-01-01

    Synopsis Breast MRI has increased in popularity over the past two decades due to evidence for its high sensitivity for cancer detection. Current clinical MRI approaches rely on the use of a dynamic contrast enhanced (DCE-MRI) acquisition that facilitates morphologic and semi-quantitative kinetic assessments of breast lesions. The use of more functional and quantitative parameters, such as pharmacokinetic features from high temporal resolution DCE-MRI, apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) on diffusion weighted MRI, and choline concentrations on MR spectroscopy, hold promise to broaden the utility of MRI and improve its specificity. However, due to wide variations in approach among centers for measuring these parameters and the considerable technical challenges, robust multicenter data supporting their routine use is not yet available, limiting current applications of many of these tools to research purposes. PMID:26613883

  13. Intensity Modulated Accelerated Partial Breast Irradiation Before Surgery in Treating Older Patients With Hormone Responsive Stage 0-I Breast Cancer

    ClinicalTrials.gov

    2016-05-04

    Ductal Breast Carcinoma in Situ; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Ductal Breast Carcinoma With Predominant Intraductal Component; Lobular Breast Carcinoma in Situ; Medullary Ductal Breast Carcinoma With Lymphocytic Infiltrate; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Progesterone Receptor-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Tubular Ductal Breast Carcinoma

  14. Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk.

    PubMed

    Tan, Maxine; Pu, Jiantao; Cheng, Samuel; Liu, Hong; Zheng, Bin

    2015-10-01

    The purpose of this study was to develop and assess a new quantitative four-view mammographic image feature based fusion model to predict the near-term breast cancer risk of the individual women after a negative screening mammography examination of interest. The dataset included fully-anonymized mammograms acquired on 870 women with two sequential full-field digital mammography examinations. For each woman, the first "prior" examination in the series was interpreted as negative (not recalled) during the original image reading. In the second "current" examination, 430 women were diagnosed with pathology verified cancers and 440 remained negative ("cancer-free"). For each of four bilateral craniocaudal and mediolateral oblique view images of left and right breasts, we computed and analyzed eight groups of global mammographic texture and tissue density image features. A risk prediction model based on three artificial neural networks was developed to fuse image features computed from two bilateral views of four images. The risk model performance was tested using a ten-fold cross-validation method and a number of performance evaluation indices including the area under the receiver operating characteristic curve (AUC) and odds ratio (OR). The highest AUC = 0.725 ± 0.026 was obtained when the model was trained by gray-level run length statistics texture features computed on dense breast regions, which was significantly higher than the AUC values achieved using the model trained by only two bilateral one-view images (p < 0.02). The adjustable OR values monotonically increased from 1.0 to 11.8 as model-generated risk score increased. The regression analysis of OR values also showed a significant increase trend in slope (p < 0.01). As a result, this preliminary study demonstrated that a new four-view mammographic image feature based risk model could provide useful and supplementary image information to help predict the near-term breast cancer risk.

  15. Quercetin inhibits angiogenesis by targeting calcineurin in the xenograft model of human breast cancer.

    PubMed

    Zhao, Xin; Wang, Qiuting; Yang, Shijun; Chen, Chen; Li, Xiaoya; Liu, Jinyu; Zou, Zhongmei; Cai, Dayong

    2016-06-15

    Vascular endothelial growth factor receptor 2 (VEGFR2) mediated calcineurin/nuclear factor of activated T-cells (NFAT) pathway is crucial in the angiogenesis of human breast cancer. Quercetin (Qu), a flavonoid known to possess anti-angiogenesis and antitumor properties, inhibited calcineurin activity in vitro. Herein, we performed a study in vivo to evaluate the effects of Qu on the angiogenesis in breast cancer. Female BALB/c nude mice were injected with MCF-7 cells into the mammary fat and were randomly divided into four groups. The animals were treated with vehicle solution, tamoxifen (TAM, 5.6mg/kg), tacrolimus (FK506, 3mg/kg), or Qu (34mg/kg) for 21 days, respectively. The results showed that, similar to TAM and FK506, Qu decreased tumor growth, limited oncocyte proliferation and promoted tumor necrosis. Anti-angiogenic actions of Qu were demonstrated as decreased serum VEGF (P<0.01), and sparse microvessel density (P<0.05). Qu significantly inhibited tumor calcineurin activities, and the inhibitory rate was 62.73% in Qu treated animals, compared to that was 72.90% in FK506 group (P>0.05). Effects of Qu on calcineurin/NFAT pathway were confirmed as decreased subcellular located levels of VEGF (P<0.05), VEGFR2 (P<0.05) and NFATc3 (P<0.01), downregulated gene expression of VEGF (P<0.05), VEGFR2 (P<0.05) and NFATc3 (P<0.01), reduced protein levels of VEGF (P<0.05), VEGFR2 (P<0.05), and NFATc3 (P<0.01) in tumor tissues. These findings indicate that Qu inhibit angiogenesis of human breast cancer xenograft in nude mice, which was associated with suppressing calcineurin activity and its regulated pathway activation.

  16. Research Training Program in Breast Cancer.

    DTIC Science & Technology

    1998-06-01

    program provided trainees with additional foundation in carcinogenesis and breast cancer. In addition to the core curriculum taken by the predoctoral...tumor model promotes tumor cell proliferation without affecting apoptosis. Cell Growth & Differentiation 8:829-838, 1997. Leng, X.-H., Connell -Crowley...introductory cancer material provided to students in the Complex Systems core curriculum course. It is designed for students who want a more in-depth treatment

  17. Discovery and replication of microRNAs for breast cancer risk using genome-wide profiling

    PubMed Central

    Taslim, Cenny; Weng, Daniel Y.; Brasky, Theodore M.; Dumitrescu, Ramona G.; Huang, Kun; Kallakury, Bhaskar V.S.; Krishnan, Shiva; Llanos, Adana A.; Marian, Catalin; McElroy, Joseph; Schneider, Sallie S.; Spear, Scott L.; Troester, Melissa A.; Freudenheim, Jo L.; Geyer, Susan; Shields, Peter G.

    2016-01-01

    Background Genome-wide miRNA expression may be useful for predicting breast cancer risk and/or for the early detection of breast cancer. Results A 41-miRNA model distinguished breast cancer risk in the discovery study (accuracy of 83.3%), which was replicated in the independent study (accuracy = 63.4%, P=0.09). Among the 41 miRNA, 20 miRNAs were detectable in serum, and predicted breast cancer occurrence within 18 months of blood draw (accuracy 53%, P=0.06). These risk-related miRNAs were enriched for HER-2 and estrogen-dependent breast cancer signaling. Materials and Methods MiRNAs were assessed in two cross-sectional studies of women without breast cancer and a nested case-control study of breast cancer. Using breast tissues, a multivariate analysis was used to model women with high and low breast cancer risk (based upon Gail risk model) in a discovery study of women without breast cancer (n=90), and applied to an independent replication study (n=71). The model was then assessed using serum samples from the nested case-control study (n=410). Conclusions Studying breast tissues of women without breast cancer revealed miRNAs correlated with breast cancer risk, which were then found to be altered in the serum of women who later developed breast cancer. These results serve as proof-of-principle that miRNAs in women without breast cancer may be useful for predicting breast cancer risk and/or as an adjunct for breast cancer early detection. The miRNAs identified herein may be involved in breast carcinogenic pathways because they were first identified in the breast tissues of healthy women. PMID:27833082

  18. A comparative analysis of inhibitors of the glycolysis pathway in breast and ovarian cancer cell line models

    PubMed Central

    Xintaropoulou, Chrysi; Ward, Carol; Wise, Alan; Marston, Hugh; Turnbull, Arran; Langdon, Simon P.

    2015-01-01

    Many cancer cells rely on aerobic glycolysis for energy production and targeting of this pathway is a potential strategy to inhibit cancer cell growth. In this study, inhibition of five glycolysis pathway molecules (GLUT1, HKII, PFKFB3, PDHK1 and LDH) using 9 inhibitors (Phloretin, Quercetin, STF31, WZB117, 3PO, 3-bromopyruvate, Dichloroacetate, Oxamic acid, NHI-1) was investigated in panels of breast and ovarian cancer cell line models. All compounds tested blocked glycolysis as indicated by increased extracellular glucose and decreased lactate production and also increased apoptosis. Sensitivity to several inhibitors correlated with the proliferation rate of the cell lines. Seven compounds had IC50 values that were associated with each other consistent with a shared mechanism of action. A synergistic interaction was revealed between STF31 and Oxamic acid when combined with the antidiabetic drug metformin. Sensitivity to glycolysis inhibition was also examined under a range of O2 levels (21% O2, 7% O2, 2% O2 and 0.5% O2) and greater resistance to the inhibitors was found at low oxygen conditions (7% O2, 2% O2 and 0.5% O2) relative to 21% O2 conditions. These results indicate growth of breast and ovarian cancer cell lines is dependent on all the targets examined in the glycolytic pathway with increased sensitivity to the inhibitors under normoxic conditions. PMID:26259240

  19. A comparative analysis of inhibitors of the glycolysis pathway in breast and ovarian cancer cell line models.

    PubMed

    Xintaropoulou, Chrysi; Ward, Carol; Wise, Alan; Marston, Hugh; Turnbull, Arran; Langdon, Simon P

    2015-09-22

    Many cancer cells rely on aerobic glycolysis for energy production and targeting of this pathway is a potential strategy to inhibit cancer cell growth. In this study, inhibition of five glycolysis pathway molecules (GLUT1, HKII, PFKFB3, PDHK1 and LDH) using 9 inhibitors (Phloretin, Quercetin, STF31, WZB117, 3PO, 3-bromopyruvate, Dichloroacetate, Oxamic acid, NHI-1) was investigated in panels of breast and ovarian cancer cell line models. All compounds tested blocked glycolysis as indicated by increased extracellular glucose and decreased lactate production and also increased apoptosis. Sensitivity to several inhibitors correlated with the proliferation rate of the cell lines. Seven compounds had IC50 values that were associated with each other consistent with a shared mechanism of action. A synergistic interaction was revealed between STF31 and Oxamic acid when combined with the antidiabetic drug metformin. Sensitivity to glycolysis inhibition was also examined under a range of O2 levels (21% O2, 7% O2, 2% O2 and 0.5% O2) and greater resistance to the inhibitors was found at low oxygen conditions (7% O2, 2% O2 and 0.5% O2) relative to 21% O2 conditions. These results indicate growth of breast and ovarian cancer cell lines is dependent on all the targets examined in the glycolytic pathway with increased sensitivity to the inhibitors under normoxic conditions.

  20. Tamoxifen for breast cancer prevention

    SciTech Connect

    Jordan, V.C.

    1995-02-01

    The case for tamoxifen to be tested as a preventive for breast cancer has merit. Animal studies demonstrate that tamoxifen prevents mammary carcinogenesis and clinical studies now confirm that adjuvant tamoxifen therapy is the only systemic treatment that will prevent contralateral breast cancer. Developing clinical studies confirm the laboratory data that tamoxifen will maintain post-menopausal bone density in the lumbar spine and the neck of the femur; two important skeletal sites for the ultimate prevention of osteoporosis. However, a most important target site-specific effect of tamoxifen is the decrease in low-density lipoprotein cholesterol levels in postmenopausal women. This positive property of tamoxifen may be responsible for the recorded decreases in hospital visits for the treatment of cardiac conditions and the significant decrease in fatal myocardial infarction for women treated with 5 years of adjuvant tamoxifen. These data provide the scientific basis to undertake randomized, placebocontrolled clinical trials to test the worth of tamoxifen to prevent breast cancer.

  1. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunourous tissues. Here, two High-Aspect Ratio Vessels turn at about 12 rmp to keep breast tissue constructs suspended inside the culture media. Syringes allow scientists to pull for analysis during growth sequences. The tube in the center is a water bubbler that dehumidifies the air to prevent evaporation of the media and thus the appearance of destructive bubbles in the bioreactor.

  2. Inflammatory breast cancer: an overview.

    PubMed

    van Uden, D J P; van Laarhoven, H W M; Westenberg, A H; de Wilt, J H W; Blanken-Peeters, C F J M

    2015-02-01

    Inflammatory breast cancer (IBC) is the most aggressive entity of breast cancer. Management involves coordination of multidisciplinary management and usually includes neoadjuvant chemotherapy, ablative surgery if a tumor-free resection margin is expected and locoregional radiotherapy. This multimodal therapeutic approach has significantly improved patient survival. However, the median overall survival among women with IBC is still poor. By elucidating the biologic characteristics of IBC, new treatment options may become available. We performed a comprehensive review of the English-language literature on IBC through computerized literature searches. The objective of the current review is to present an overview of the literature related to the biology, imaging and multidisciplinary treatment of inflammatory breast cancer.

  3. Nanoparticle-based Paclitaxel vs Solvent-based Paclitaxel as Part of Neoadjuvant Chemotherapy for Early Breast Cancer (GeparSepto)

    ClinicalTrials.gov

    2016-10-11

    Tubular Breast Cancer Stage II; Mucinous Breast Cancer Stage II; Breast Cancer Female NOS; Invasive Ductal Breast Cancer; Tubular Breast Cancer Stage III; HER-2 Positive Breast Cancer; Inflammatory Breast Cancer Stage IV; Inflammatory Breast Cancer

  4. Combination Chemotherapy and Peripheral Blood Stem Cell Transplant Followed By Aldesleukin and Sargramostim in Treating Patients With Inflammatory Stage IIIB or Metastatic Stage IV Breast Cancer

    ClinicalTrials.gov

    2011-07-08

    Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; Inflammatory Breast Cancer; Male Breast Cancer; Progesterone Receptor-negative Breast Cancer; Progesterone Receptor-positive Breast Cancer; Stage IIIB Breast Cancer; Stage IV Breast Cancer

  5. Reconstruction for breast cancer in a nutshell.

    PubMed

    Harmer, Victoria

    Breast cancer is a disease many will experience. Depending on the size of the cancer, the size of the host breast, and whether it is multi-focal, a mastectomy may be recommended as part of the treatment. If this is the case, an immediate breast reconstruction may be offered. This article will describe the three main types of breast reconstruction and discuss pertinent issues regarding this, including complications, surgery to the other (contraleteral) breast and potential psychological implications of this surgery.

  6. Occupational exposure and risk of breast cancer.

    PubMed

    Fenga, Concettina

    2016-03-01

    Breast cancer is a multifactorial disease and the most commonly diagnosed cancer in women. Traditional risk factors for breast cancer include reproductive status, genetic mutations, family history and lifestyle. However, increasing evidence has identified an association between breast cancer and occupational factors, including environmental stimuli. Epidemiological and experimental studies demonstrated that ionizing and non-ionizing radiation exposure, night-shift work, pesticides, polycyclic aromatic hydrocarbons and metals are defined environmental factors for breast cancer, particularly at young ages. However, the mechanisms by which occupational factors can promote breast cancer initiation and progression remains to be elucidated. Furthermore, the evaluation of occupational factors for breast cancer, particularly in the workplace, also remains to be explained. The present review summarizes the occupational risk factors and the associated mechanisms involved in breast cancer development, in order to highlight new environmental exposures that could be correlated to breast cancer and to provide new insights for breast cancer prevention in the occupational settings. Furthermore, this review suggests that there is a requirement to include, through multidisciplinary approaches, different occupational exposure risks among those associated with breast cancer development. Finally, the design of new epigenetic biomarkers may be useful to identify the workers that are more susceptible to develop breast cancer.

  7. Occupational exposure and risk of breast cancer

    PubMed Central

    FENGA, CONCETTINA

    2016-01-01

    Breast cancer is a multifactorial disease and the most commonly diagnosed cancer in women. Traditional risk factors for breast cancer include reproductive status, genetic mutations, family history and lifestyle. However, increasing evidence has identified an association between breast cancer and occupational factors, including environmental stimuli. Epidemiological and experimental studies demonstrated that ionizing and non-ionizing radiation exposure, night-shift work, pesticides, polycyclic aromatic hydrocarbons and metals are defined environmental factors for breast cancer, particularly at young ages. However, the mechanisms by which occupational factors can promote breast cancer initiation and progression remains to be elucidated. Furthermore, the evaluation of occupational factors for breast cancer, particularly in the workplace, also remains to be explained. The present review summarizes the occupational risk factors and the associated mechanisms involved in breast cancer development, in order to highlight new environmental exposures that could be correlated to breast cancer and to provide new insights for breast cancer prevention in the occupational settings. Furthermore, this review suggests that there is a requirement to include, through multidisciplinary approaches, different occupational exposure risks among those associated with breast cancer development. Finally, the design of new epigenetic biomarkers may be useful to identify the workers that are more susceptible to develop breast cancer. PMID:26998264

  8. Outgrowth of BT-474 human breast cancer cells in immune-deficient mice: a new in vivo model for hormone-dependent breast cancer.

    PubMed Central

    van Slooten, H. J.; Bonsing, B. A.; Hiller, A. J.; Colbern, G. T.; van Dierendonck, J. H.; Cornelisse, C. J.; Smith, H. S.

    1995-01-01

    The effect of co-inoculation of basement membrane matrix, Matrigel and two human breast cancer cell lines, BT-474 and SK-BR-3, was tested in immune-deficient mice. Both cell lines strongly overexpress c-ErbB-2 protein, whereas only BT-474 is reported to be oestrogen receptor positive. Co-inoculation of Matrigel and BT-474 cells but not of Matrigel and SK-BR-3 cells resulted in tumour formation in bg-nu-xid mice. Oestrogen supplementation greatly enhanced tumorigenicity, but did not seem to be an absolute requirement. In vivo, BT-474 cells grow as a poorly differentiated adenocarcinoma with a doubling time of 9.4 +/- 1.1 days after inoculation into the neck region. A high proliferative activity appears to be compensated by a relatively high rate of cell loss, as BT-474 tumours contain many cells with the typical morphology of apoptotic cell death. Wild-type p53, known to participate in the induction of apoptosis, is absent from the tumours, whereas Bcl-2, known to inhibit apoptosis, is expressed at intermediate levels. BT-474 tumours tend to metastasise to the regional lymph nodes and are capable of forming micrometastatic lesions in the lung. Flow cytometrical analysis of DNA ploidy demonstrated no change in tumours compared with the cell line. Immunohistochemical and flow cytometrical detection of a number of hormone and growth factor receptors, transcription factors, cell adhesion molecules and proteins involved in proliferation and cell death demonstrated no major changes in ploidy and phenotype of tumours compared with the cell line. High expression of the cell-surface molecules c-ErbB-2 and episialin make it a potentially useful model for research in immune therapy. Images Figure 2 PMID:7599056

  9. Resonant Spectra of Malignant Breast Cancer Tumors Using the Three-Dimensional Electromagnetic Fast Multipole Model. Part 1

    NASA Technical Reports Server (NTRS)

    El-Shenawee, Magda

    2003-01-01

    An intensive numerical study for the resonance scattering of malignant breast cancer tumors is presented. The rigorous three-dimensional electromagnetic model, based on the equivalence theorem, is used to obtain the induced electric and magnetic currents on the breast and tumor surfaces. The results show that a non-spherical malignant tumor can be characterized based its spectra regardless of its orientation, the incident polarization, or the incident or scattered directions. The tumor's spectra depend solely on its physical characteristics (i.e., the shape and the electrical properties), however, their locations are not functions of its burial depth. This work provides a useful guidance to select the appropriate frequency range for the tumor's size.

  10. Chapter 27 -- Breast Cancer Genomics, Section VI, Pathology and Biological Markers of Invasive Breast Cancer

    SciTech Connect

    Spellman, Paul T.; Heiser, Laura; Gray, Joe W.

    2009-06-18

    Breast cancer is predominantly a disease of the genome with cancers arising and progressing through accumulation of aberrations that alter the genome - by changing DNA sequence, copy number, and structure in ways that that contribute to diverse aspects of cancer pathophysiology. Classic examples of genomic events that contribute to breast cancer pathophysiology include inherited mutations in BRCA1, BRCA2, TP53, and CHK2 that contribute to the initiation of breast cancer, amplification of ERBB2 (formerly HER2) and mutations of elements of the PI3-kinase pathway that activate aspects of epidermal growth factor receptor (EGFR) signaling and deletion of CDKN2A/B that contributes to cell cycle deregulation and genome instability. It is now apparent that accumulation of these aberrations is a time-dependent process that accelerates with age. Although American women living to an age of 85 have a 1 in 8 chance of developing breast cancer, the incidence of cancer in women younger than 30 years is uncommon. This is consistent with a multistep cancer progression model whereby mutation and selection drive the tumor's development, analogous to traditional Darwinian evolution. In the case of cancer, the driving events are changes in sequence, copy number, and structure of DNA and alterations in chromatin structure or other epigenetic marks. Our understanding of the genetic, genomic, and epigenomic events that influence the development and progression of breast cancer is increasing at a remarkable rate through application of powerful analysis tools that enable genome-wide analysis of DNA sequence and structure, copy number, allelic loss, and epigenomic modification. Application of these techniques to elucidation of the nature and timing of these events is enriching our understanding of mechanisms that increase breast cancer susceptibility, enable tumor initiation and progression to metastatic disease, and determine therapeutic response or resistance. These studies also reveal the

  11. Interactive Gentle Yoga in Improving Quality of Life in Patients With Stage I-III Breast Cancer Undergoing Radiation Therapy

    ClinicalTrials.gov

    2017-01-17

    Anxiety Disorder; Depression; Ductal Breast Carcinoma in Situ; Fatigue; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  12. Genetic epidemiology of breast cancer in Britain.

    PubMed

    Iselius, L; Slack, J; Littler, M; Morton, N E

    1991-05-01

    A complex segregation analysis was conducted on two British series (one consecutive series of probands with breast cancer and one series ascertained through a normal consultand). Altogether there were 1248 nuclear families with breast cancer. A dominant gene with a frequency of 0.003 giving a lifetime penetrance of 0.83 is favoured. Ovarian, endometrial and cancers associated with the SBLA syndrome, as well as benign breast disease, were significantly more common in familial breast cancer than in families of single cases. Probands in families with more than one individual with breast cancer were non-significantly younger than isolated probands.

  13. [Hormonal therapy in breast cancer].

    PubMed

    Espinós, J; Reyna, C; de la Cruz, S; Oiler, C; Hernández, A; Fernández Hidalgo, O; Santisteban, M; García Foncillas, J

    2008-01-01

    Hormonal therapy has been the first systemic treatment against breast cancer. Up to now Tamoxifen and ovarian supression/ablation were the best optionts we had to treat early breast cancer as advancer disease. The advent of aromatase inhibitors, new SERMS and antistrogen Fulvestrant have supoused a great advance in the treatment of this disease and at the same time have complicated the election of the optimal drug for each patient. This article tries to review the aviable treatment options insiting on its indications.

  14. EpCAM Aptamer-mediated Survivin Silencing Sensitized Cancer Stem Cells to Doxorubicin in a Breast Cancer Model

    PubMed Central

    Wang, Tao; Gantier, Michael P.; Xiang, Dongxi; Bean, Andrew G; Bruce, Matthew; Zhou, Shu-Feng; Khasraw, Mustafa; Ward, Alister; Wang, Li; Wei, Ming Q.; AlShamaileh, Hadi; Chen, Lijue; She, Xiaodong; Lin, Jia; Kong, Lingxue; Shigdar, Sarah; Duan, Wei

    2015-01-01

    Understanding the molecular basis of drug resistance and utilising this information to overcome chemoresistance remains a key challenge in oncology. Here we report that survivin, a key protein implicated in drug resistance, is overexpressed in cancer stem cell pool of doxorubicin-resistant breast cancer cells. Moreover, by utilising an active targeting system consisting of an RNA aptamer targeted against the epithelial cell adhesion molecule and a Dicer substrate survivin siRNA, we could deliver a high dose of the siRNA to cancer stem cells in xenograft tumours. Importantly, silencing of survivin with this aptamer-siRNA chimera in cancer stem cell population led to the reversal of chemoresistance, such that combined treatment with low dose of doxorubicin inhibited stemness, eliminated cancer stem cells via apoptosis, suppressed tumour growth, and prolonged survival in mice bearing chemoresistant tumours. This strategy for in vivo cancer stem cell targeting has wide application for future effective silencing of anti-death genes and in fact any dysregulated genes involved in chemoresistance and tumour relapse. PMID:26681989

  15. NUCKS overexpression in breast cancer

    PubMed Central

    Drosos, Yiannis; Kouloukoussa, Mirsini; Østvold, Anne Carine; Grundt, Kirsten; Goutas, Nikos; Vlachodimitropoulos, Dimitrios; Havaki, Sophia; Kollia, Panagoula; Kittas, Christos; Marinos, Evangelos; Aleporou-Marinou, Vassiliki

    2009-01-01

    Background NUCKS (Nuclear, Casein Kinase and Cyclin-dependent Kinase Substrate) is a nuclear, DNA-binding and highly phosphorylated protein. A number of reports show that NUCKS is highly expressed on the level of mRNA in several human cancers, including breast cancer. In this work, NUCKS expression on both RNA and protein levels was studied in breast tissue biopsies consisted of invasive carcinomas, intraductal proliferative lesions, benign epithelial proliferations and fibroadenomas, as well as in primary cultures derived from the above biopsies. Specifically, in order to evaluate the level of NUCKS protein in correlation with the histopathological features of breast disease, immunohistochemistry was employed on paraffin sections of breast biopsies of the above types. In addition, NUCKS expression was studied by means of Reverse Transcription PCR (RT-PCR), real-time PCR (qRT-PCR) and Western immunoblot analyses in the primary cell cultures developed from the same biopsies. Results The immunohistochemical Results showed intense NUCKS staining mostly in grade I and II breast carcinomas compared to normal tissues. Furthermore, NUCKS was moderate expressed in benign epithelial proliferations, such as adenosis and sclerosing adenosis, and highly expressed in intraductal lesions, specifically in ductal carcinomas in situ (DCIS). It is worth noting that all the fibroadenoma tissues examined were negative for NUCKS staining. RT-PCR and qRT-PCR showed an increase of NUCKS expression in cells derived from primary cultures of proliferative lesions and cancerous tissues compared to the ones derived from normal breast tissues and fibroadenomas. This increase was also confirmed by Western immunoblot analysis. Although NUCKS is a cell cycle related protein, its expression does not correlate with Ki67 expression, neither in tissue sections nor in primary cell cultures. Conclusion The results show overexpression of the NUCKS protein in a number of non malignant breast lesions and

  16. Toward precision medicine of breast cancer.

    PubMed

    Carels, Nicolas; Spinassé, Lizânia Borges; Tilli, Tatiana Martins; Tuszynski, Jack Adam

    2016-02-29

    In this review, we report on breast cancer's molecular features and on how high throughput technologies are helping in understanding the dynamics of tumorigenesis and cancer progression with the aim of developing precision medicine methods. We first address the current state of the art in breast cancer therapies and challenges in order to progress towards its cure. Then, we show how the interaction of high-throughput technologies with in silico modeling has led to set up useful inferences for promising strategies of target-specific therapies with low secondary effect incidence for patients. Finally, we discuss the challenge of pharmacogenetics in the clinical practice of cancer therapy. All these issues are explored within the context of precision medicine.

  17. Star-PAP, a poly(A) polymerase, functions as a tumor suppressor in an orthotopic human breast cancer model.

    PubMed

    Yu, C; Gong, Y; Zhou, H; Wang, M; Kong, L; Liu, J; An, T; Zhu, H; Li, Y

    2017-02-02

    Star-PAP is a noncanonical poly(A) polymerase and required for the expression of a select set of mRNAs. However, the pathological role of Star-PAP in cancer largely remains unknown. In this study, we observed decreased expression of Star-PAP in breast cancer cell lines and tissues. Ectopic Star-PAP expression inhibited proliferation as well as colony-forming ability of breast cancer cells. In breast cancer patients, high levels of Star-PAP correlated with an improved prognosis. Moreover, by regulating the expression of BIK (BCL2-interacting killer), Star-PAP induced apoptosis of breast cancer cells through the mitochondrial pathway. The growth of breast cancer xenografts in NOD/SCID mice was also inhibited by the doxycycline-induced Star-PAP overexpression. Furthermore, Star-PAP sensitized breast cancer cells to chemotherapy drugs both in vitro and in vivo. In mammary epithelial cells, Star-PAP knockdown partially transformed these cells and induced them to undergo epithelial-mesenchymal transition (EMT). These findings suggested that Star-PAP possesses tumor-suppressing activity and can be a valuable target for developing new cancer therapeutic strategies.

  18. Breast cancer (metastatic)

    PubMed Central

    2010-01-01

    Introduction Median survival from metastatic breast cancer is 12 months without treatment, but young people can survive up to 20 years with the disease, whereas in other metastatic cancers this would be considered unusual. Methods and outcomes We conducted a systematic review and aimed to answer the following clinical questions: What are the effects of first-line hormonal treatment? What are the effects of second-line hormonal treatment in women who have not responded to tamoxifen? What are the effects of first-line chemotherapy? What are the effects of first-line chemotherapy in combination with a monoclonal antibody? What are the effects of second-line chemotherapy? What are the effects of treatments for bone metastases? What are the effects of treatments for spinal cord metastases? What are the effects of treatments for cerebral or choroidal metastases? We searched: Medline, Embase, The Cochrane Library, and other important databases up to June 2009 (Clinical Evidence reviews are updated periodically, please check our website for the most up-to-date version of this review). We included harms alerts from relevant organisations such as the US Food and Drug Administration (FDA) and the UK Medicines and Healthcare products Regulatory Agency (MHRA). Results We found 77 systematic reviews, RCTs, or observational studies that met our inclusion criteria. We performed a GRADE evaluation of the quality of evidence for interventions. Conclusions In this systematic review we present information relating to the effectiveness and safety of the following interventions: first-line hormonal treatment using anti-oestrogens (tamoxifen), ovarian ablation, progestins, selective aromatase inhibitors, or combined gonadorelin analogues plus tamoxifen; second-line hormonal treatment using progestins or selective aromatase inhibitors; first-line non-taxane combination chemotherapy; first-line taxane-based combination chemotherapy; first-line high- versus low-dose standard chemotherapy

  19. MicroRNA and Breast Cancer Progression

    DTIC Science & Technology

    2007-08-01

    AD_________________ Award Number: W81XWH-05-1-0428 TITLE: MicroRNA and Breast Cancer Progression...3. DATES COVERED (From - To) 15 JUL 2005 - 14 JUL 2007 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER MicroRNA and Breast Cancer Progression 5b...We hypothesized that certain miRNA species are differentially expressed in the normal breast epithelium and breast cancer cells. Our concept was that

  20. Prediction of Breast Cancer Survival Through Knowledge Discovery in Databases

    PubMed Central

    Afshar, Hadi Lotfnezhad; Ahmadi, Maryam; Roudbari, Masoud; Sadoughi, Farahnaz

    2015-01-01

    The collection of large volumes of medical data has offered an opportunity to develop prediction models for survival by the medical research community. Medical researchers who seek to discover and extract hidden patterns and relationships among large number of variables use knowledge discovery in databases (KDD) to predict the outcome of a disease. The study was conducted to develop predictive models and discover relationships between certain predictor variables and survival in the context of breast cancer. This study is Cross sectional. After data preparation, data of 22,763 female patients, mean age 59.4 years, stored in the Surveillance Epidemiology and End Results (SEER) breast cancer dataset were analyzed anonymously. IBM SPSS Statistics 16, Access 2003 and Excel 2003 were used in the data preparation and IBM SPSS Modeler 14.2 was used in the model design. Support Vector Machine (SVM) model outperformed other models in the prediction of breast cancer survival. Analysis showed SVM model detected ten important predictor variables contributing mostly to prediction of breast cancer survival. Among important variables, behavior of tumor as the most important variable and stage of malignancy as the least important variable were identified. In current study, applying of the knowledge discovery method in the breast cancer dataset predicted the survival condition of breast cancer patients with high confidence and identified the most important variables participating in breast cancer survival. PMID:25946945

  1. Expression of Cadherin-17 Promotes Metastasis in a Highly Bone Marrow Metastatic Murine Breast Cancer Model

    PubMed Central

    Kurabayashi, Atsushi; Furihata, Mutsuo

    2017-01-01

    We previously established 4T1E/M3 highly bone marrow metastatic mouse breast cancer cells through in vivo selection of 4T1 cells. But while the incidence of bone marrow metastasis of 4T1E/M3 cells was high (~80%) when injected intravenously to mice, it was rather low (~20%) when injected subcutaneously. Therefore, using 4T1E/M3 cells, we carried out further in vitro and in vivo selection steps to establish FP10SC2 cells, which show a very high incidence of metastasis to lungs (100%) and spines (85%) after subcutaneous injection into mice. qRT-PCR and western bolt analysis revealed that cadherin-17 gene and protein expression were higher in FP10SC2 cells than in parental 4T1E/M3 cells. In addition, immunostaining revealed the presence of cadherin-17 at sites of bone marrow and lung metastasis after subcutaneous injection of FP10SC2 cells into mice. Suppressing cadherin-17 expression in FP10SC2 cells using RNAi dramatically decreased the cells' anchorage-independent growth and migration in vitro and their metastasis to lung and bone marrow in vivo. These findings suggest that cadherin-17 plays a crucial role in mediating breast cancer metastasis to bone marrow. PMID:28197418

  2. An imbalance in progenitor cell populations reflects tumour progression in breast cancer primary culture models

    PubMed Central

    2011-01-01

    Background Many factors influence breast cancer progression, including the ability of progenitor cells to sustain or increase net tumour cell numbers. Our aim was to define whether alterations in putative progenitor populations could predict clinicopathological factors of prognostic importance for cancer progression. Methods Primary cultures were established from human breast tumour and adjacent non-tumour tissue. Putative progenitor cell populations were isolated based on co-expression or concomitant absence of the epithelial and myoepithelial markers EPCAM and CALLA respectively. Results Significant reductions in cellular senescence were observed in tumour versus non-tumour cultures, accompanied by a stepwise increase in proliferation:senescence ratios. A novel correlation between tumour aggressiveness and an imbalance of putative progenitor subpopulations was also observed. Specifically, an increased double-negative (DN) to double-positive (DP) ratio distinguished aggressive tumours of high grade, estrogen receptor-negativity or HER2-positivity. The DN:DP ratio was also higher in malignant MDA-MB-231 cells relative to non-tumourogenic MCF-10A cells. Ultrastructural analysis of the DN subpopulation in an invasive tumour culture revealed enrichment in lipofuscin bodies, markers of ageing or senescent cells. Conclusions Our results suggest that an imbalance in tumour progenitor subpopulations imbalances the functional relationship between proliferation and senescence, creating a microenvironment favouring tumour progression. PMID:21521500

  3. Educating Normal Breast Mucosa to Prevent Breast Cancer

    DTIC Science & Technology

    2014-05-01

    multi - peptide vaccine (a vaccine which was observed to be immunogenic and cause regressions in transplanted breast cancer model) targeting antigens...with a multi - peptide vaccine C3L3N1 via intramammary route and single cell suspensions obtained from mammary fat pads , spleens were stained with...groups Figure 6. Intramammary immunization induces local antigen-specific immune responses. BALB/c mice were immunized with a multi - peptide vaccine

  4. Minimal breast cancer: a clinical appraisal.

    PubMed Central

    Peters, T G; Donegan, W L; Burg, E A

    1977-01-01

    Eighty-five patients with a diagnosis of minimal breast cancer were evaluated. The predominant lesion was intraductal carcinoma, and axillary metastases occurred in association with minimal breast cancer in seven of 96 cases. One death occurred due to minimal breast cancer. Bilateral mammary carcinoma was evident in 24% and bilateral minimal breast cancer in 13% of the patients. The component lesions of minimal breast cancer have varied biologic activity, but prognosis is good with a variety of operations. The multifocal nature of minimal breast cancer and the potential for metastases should be recognized. Therapy should include removal of the entire mammary parenchyma and low axillary nodes. The high incidence of bilateral malignancy supports elective contralateral biopsy at the time of therapy for minimal breast cancer. Images Fig. 1. Fig. 2. Fig. 3. Fig. 5. PMID:203233

  5. Immunotherapy in breast cancer: An introduction.

    PubMed

    Disis, Mary L; Stanton, Sasha E

    2017-02-03

    The field of breast cancer immunology has progressed tremendously over the last decade. Twenty years ago immunotherapy was not considered for the treatment of breast cancers because breast cancer was not considered immunogenic. Today we know that most patients with breast cancer have some evidence of an adaptive immune response against their tumors, detectable either in the peripheral blood or in the tumor. Moreover, immunity to breast cancer begins at the earliest stages of the disease, in some patients prior to diagnosis. Recent evidence suggests that lymphocytes infiltrating breast cancers and found in the tumor stroma are strong prognostic indicators of a beneficial disease outcome. These observations now pave the way for the integration of immunomodulation into standard of care therapy for the treatment of breast cancer.

  6. The menopause specialist and breast cancer survivorship.

    PubMed

    Marsden, Jo

    2016-09-15

    Due to improvement in survival rates, breast cancer is the most prevalent female malignancy in Europe and hence the management of breast cancer survivorship is garnering significant attention. Most of the health issues associated with treatment result from iatrogenic estrogen deficiency and recognition of this in the recent National Institute for Health and Care Excellence (NICE) menopause guidance has resulted in the recommendation for referral of breast cancer patients to menopause specialists for appropriate counselling about and management of early menopause, estrogen deficiency symptoms and lifestyle risk modification. The latter has significant implications for both all-cause and breast cancer-specific mortality. Extending the role of health professionals with an interest in menopause to provide such service for breast cancer patients is necessary as this is not within the remit or expertise of specialist breast cancer teams; however it will in turn, require menopause specialists to expand and regularly update their knowledge of breast cancer and its treatment.

  7. A prognosis classifier for breast cancer based on conserved gene regulation between mammary gland development and tumorigenesis: a multiscale statistical model.

    PubMed

    Tian, Yingpu; Chen, Baozhen; Guan, Pengfei; Kang, Yujia; Lu, Zhongxian

    2013-01-01

    Identification of novel cancer genes for molecular therapy and diagnosis is a current focus of breast cancer research. Although a few small gene sets were identified as prognosis classifiers, more powerful models are still needed for the definition of effective gene sets for the diagnosis and treatment guidance in breast cancer. In the present study, we have developed a novel statistical approach for systematic analysis of intrinsic correlations of gene expression between development and tumorigenesis in mammary gland. Based on this analysis, we constructed a predictive model for prognosis in breast cancer that may be useful for therapy decisions. We first defined developmentally associated genes from a mouse mammary gland epithelial gene expression database. Then, we found that the cancer modulated genes were enriched in this developmentally associated genes list. Furthermore, the developmentally associated genes had a specific expression profile, which associated with the molecular characteristics and histological grade of the tumor. These result suggested that the processes of mammary gland development and tumorigenesis share gene regulatory mechanisms. Then, the list of regulatory genes both on the developmental and tumorigenesis process was defined an 835-member prognosis classifier, which showed an exciting ability to predict clinical outcome of three groups of breast cancer patients (the predictive accuracy 64∼72%) with a robust prognosis prediction (hazard ratio 3.3∼3.8, higher than that of other clinical risk factors (around 2.0-2.8)). In conclusion, our results identified the conserved molecular mechanisms between mammary gland development and neoplasia, and provided a unique potential model for mining unknown cancer genes and predicting the clinical status of breast tumors. These findings also suggested that developmental roles of genes may be important criteria for selecting genes for prognosis prediction in breast cancer.

  8. Radiology as the Point of Cancer Patient and Care Team Engagement: Applying the 4R Model at a Patient's Breast Cancer Care Initiation.

    PubMed

    Weldon, Christine B; Friedewald, Sarah M; Kulkarni, Swati A; Simon, Melissa A; Carlos, Ruth C; Strauss, Jonathan B; Bunce, Mikele M; Small, Art; Trosman, Julia R

    2016-12-01

    Radiologists aspire to improve patient experience and engagement, as part of the Triple Aim of health reform. Patient engagement requires active partnerships among health providers and patients, and rigorous teamwork provides a mechanism for this. Patient and care team engagement are crucial at the time of cancer diagnosis and care initiation but are complicated by the necessity to orchestrate many interdependent consultations and care events in a short time. Radiology often serves as the patient entry point into the cancer care system, especially for breast cancer. It is uniquely positioned to play the value-adding role of facilitating patient and team engagement during cancer care initiation. The 4R approach (Right Information and Right Care to the Right Patient at the Right Time), previously proposed for optimizing teamwork and care delivery during cancer treatment, could be applied at the time of diagnosis. The 4R approach considers care for every patient with cancer as a project, using project management to plan and manage care interdependencies, assign clear responsibilities, and designate a quarterback function. The authors propose that radiology assume the quarterback function during breast cancer care initiation, developing the care initiation sequence, as a project care plan for newly diagnosed patients, and engaging patients and their care teams in timely, coordinated activities. After initial consultations and treatment plan development, the quarterback function is transitioned to surgery or medical oncology. This model provides radiologists with opportunities to offer value-added services and solidifies radiology's relevance in the evolving health care environment. To implement 4R at cancer care initiation, it will be necessary to change the radiology practice model to incorporate patient interaction and teamwork, develop 4R content and local adaption approaches, and enrich radiology training with relevant clinical knowledge, patient interaction

  9. Caloric Restriction in Treating Patients With Stage 0-I Breast Cancer Undergoing Surgery and Radiation Therapy

    ClinicalTrials.gov

    2016-10-19

    Ductal Breast Carcinoma in Situ; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Lobular Breast Carcinoma in Situ; Recurrent Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer

  10. Diabetes and Breast Cancer Subtypes

    PubMed Central

    Bronsveld, Heleen K.; Jensen, Vibeke; Vahl, Pernille; De Bruin, Marie L.; Cornelissen, Sten; Sanders, Joyce; Auvinen, Anssi; Haukka, Jari; Andersen, Morten; Vestergaard, Peter; Schmidt, Marjanka K.

    2017-01-01

    Background Women with diabetes have a worse survival after breast cancer diagnosis compared to women without diabetes. This may be due to a different etiological profile, leading to the development of more aggressive breast cancer subtypes. Our aim was to investigate whether insulin and non-insulin treated women with diabetes develop specific clinicopathological breast cancer subtypes compared to women without diabetes. Methods and Findings This cross-sectional study included randomly selected patients with invasive breast cancer diagnosed in 2000–2010. Stratified by age at breast cancer diagnosis (≤50 and >50 years), women with diabetes were 2:1 frequency-matched on year of birth and age at breast cancer diagnosis (both in 10-year categories) to women without diabetes, to select ~300 patients with tumor tissue available. Tumor MicroArrays were stained by immunohistochemistry for estrogen and progesterone receptor (ER, PR), HER2, Ki67, CK5/6, CK14, and p63. A pathologist scored all stains and revised morphology and grade. Associations between diabetes/insulin treatment and clinicopathological subtypes were analyzed using multivariable logistic regression. Morphology and grade were not significantly different between women with diabetes (n = 211) and women without diabetes (n = 101), irrespective of menopausal status. Premenopausal women with diabetes tended to have more often PR-negative (OR = 2.44(95%CI:1.07–5.55)), HER2-negative (OR = 2.84(95%CI:1.11–7.22)), and basal-like (OR = 3.14(95%CI:1.03–9.60) tumors than the women without diabetes, with non-significantly increased frequencies of ER-negative (OR = 2.48(95%CI:0.95–6.45)) and triple negative (OR = 2.60(95%CI:0.88–7.67) tumors. After adjustment for age and BMI, the associations remained similar in size but less significant. We observed no evidence for associations of clinicopathological subtypes with diabetes in postmenopausal women, or with insulin treatment in general. Conclusions We found no

  11. A Renewable Tissue Resource of Phenotypically Stable, Biologically and Ethnically Diverse, Patient-derived Human Breast Cancer Xenograft (PDX) Models

    PubMed Central

    Zhang, Xiaomei; Claerhout, Sofie; Pratt, Aleix; Dobrolecki, Lacey E.; Petrovic, Ivana; Lai, Qing; Landis, Melissa D.; Wiechmann, Lisa; Schiff, Rachel; Giuliano, Mario; Wong, Helen; Fuqua, Suzanne W.; Contreras, Alejandro; Gutierrez, Carolina; Huang, Jian; Mao, Sufeng; Pavlick, Anne C.; Froehlich, Amber M.; Wu, Meng-Fen; Tsimelzon, Anna; Hilsenbeck, Susan G.; Chen, Edward S.; Zuloaga, Pavel; Shaw, Chad A.; Rimawi, Mothaffar F.; Perou, Charles M.; Mills, Gordon B.; Chang, Jenny C.; Lewis, Michael T.

    2013-01-01

    Breast cancer research is hampered by difficulties in obtaining and studying primary human breast tissue, and by the lack of in vivo preclinical models that reflect patient tumor biology accurately. To overcome these limitations, we propagated a cohort of human breast tumors grown in the epithelium-free mammary fat pad of SCID/Beige and NOD/SCID/IL2γ-receptor null (NSG) mice, under a series of transplant conditions. Both models yielded stably transplantable xenografts at comparably high rates (~21% and ~19%, respectively). Of the conditions tested, xenograft take rate was highest in the presence of a low-dose estradiol pellet. Overall, 32 stably transplantable xenograft lines were established, representing 25 unique patients. Most tumors yielding xenografts were “triple-negative” (ER-PR-HER2+) (n=19). However, we established lines from three ER-PR-HER2+ tumors, one ER+PR-HER2−, one ER+PR+HER2− and one “triple-positive” (ER+PR+HER2+) tumor. Serially passaged xenografts show biological consistency with the tumor of origin, are phenotypically stable across multiple transplant generations at the histologic, transcriptomic, proteomic, and genomic levels, and show comparable treatment responses as those observed clinically. Xenografts representing 12 patients, including two ER+ lines, showed metastasis to the mouse lung. These models thus serve as a renewable, quality-controlled tissue resource for preclinical studies investigating treatment response and metastasis. PMID:23737486

  12. Simulation model to analyze the scatter radiation effects on breast cancer diagnosis by CAD system

    NASA Astrophysics Data System (ADS)

    Irita, Ricardo T.; Frere, Annie F.; Fujita, Hiroshi

    2002-05-01

    One of factors that more affect the radiographic image quality is the scatter radiation produced by interaction between the x-ray and the radiographed object. Recently the Computer Aided Diagnosis (CAD) Systems are coming to aid the detection of breast small details. Nevertheless, we not sure how much the scatter radiation decrease the efficiency of this systems. This work presents a model in order to quantify the scatter radiation and find it relation between CAD's results used for the microcalcification detection. We simulated scatter photons that reaches the film and we added it to the mammography image. The new images were processed and the alterations of the CAD's results were analyzed. The information loss to breast composed by 80 percent adipose tissue was 0,0561 per each centimeter increased in the breast's thickness. We calculated these same data considering a proportion variation of adipose tissue and considering the breast composition of 90 percent and 70 percent the loss it would be of 0.0504 and 0.07559 per increased cm, respectively. We can increase the wanted scattered radiation to any image with its own characteristics and analyze the disturbances that it can bring to the visual inspection or the automatic detection (CAD system) efficiently.

  13. Developing Breast Cancer Program at Xavier; Genomic and Proteomic Analysis of Signaling Pathways Involved in Xenohormone and MEK5 Regulation of Breast Cancer

    DTIC Science & Technology

    2006-05-01

    supporting two junior faculty members to develop BC research projects with a TCC mentor. The third objective will support research training of XU...breast carcinoma expressing activated Erk5 or not existed among clinical breast cancer samples. To determine if well established breast cancer cell lines ...number of human breast carcinoma cell lines (Figure 2). In addition to MCF-7 cells, both T47D and ZR-75 cells are model of ER-positive breast

  14. Adoptive transfer of ex vivo expanded Vγ9Vδ2 T cells in combination with zoledronic acid inhibits cancer growth and limits osteolysis in a murine model of osteolytic breast cancer.

    PubMed

    Zysk, Aneta; DeNichilo, Mark O; Panagopoulos, Vasilios; Zinonos, Irene; Liapis, Vasilios; Hay, Shelley; Ingman, Wendy; Ponomarev, Vladimir; Atkins, Gerald; Findlay, David; Zannettino, Andrew; Evdokiou, Andreas

    2017-02-01

    Bone metastases occur in over 75% of patients with advanced breast cancer and are responsible for high levels of morbidity and mortality. In this study, ex vivo expanded cytotoxic Vγ9Vδ2 T cells isolated from human peripheral blood were tested for their anti-cancer efficacy in combination with zoledronic acid (ZOL), using a mouse model of osteolytic breast cancer. In vitro, expanded Vγ9Vδ2 T cells were cytotoxic against a panel of human breast cancer cell lines, and ZOL pre-treatment further sensitised breast cancer cells to killing by Vγ9Vδ2 T cells. Vγ9Vδ2 T cells adoptively transferred into NOD/SCID mice localised to osteolytic breast cancer lesions in the bone, and multiple infusions of Vγ9Vδ2 T cells reduced tumour growth in the bone. ZOL pre-treatment potentiated the anti-cancer efficacy of Vγ9Vδ2 T cells, with mice showing further reductions in tumour burden. Mice treated with the combination also had reduced tumour burden of secondary pulmonary metastases, and decreased bone degradation. Our data suggests that adoptive transfer of Vγ9Vδ2 T cell in combination with ZOL may prove an effective immunotherapeutic approach for the treatment of breast cancer bone metastases.

  15. Antiangiogenic therapy for breast cancer

    PubMed Central

    2010-01-01

    Angiogenesis is an important component of cancer growth, invasion and metastasis. Therefore, inhibition of angiogenesis is an attractive strategy for treatment of cancer. We describe existing clinical trials of antiangiogenic agents and the challenges facing the clinical development and optimal use of these agents for the treatment of breast cancer. Currently, the most promising approach has been the use of bevacizumab, a humanized monoclonal antibody directed against the most potent pro-angiogenic factor, vascular endothelial growth factor (VEGF). Small molecular inhibitors of VEGF tyrosine kinase activity, such as sorafenib, appear promising. While, the role of sunitinib and inhibitors of mammalian target of rapamycin (mTOR) in breast cancer has to be defined. Several unanswered questions remain, such as choice of drug(s), optimal duration of therapy and patient selection criteria. PMID:21067536

  16. Antitumor activity of [Pt(O,O'-acac)(γ-acac)(DMS)] in mouse xenograft model of breast cancer

    PubMed Central

    Muscella, A; Vetrugno, C; Migoni, D; Biagioni, F; Fanizzi, F P; Fornai, F; De Pascali, S A; Marsigliante, S

    2014-01-01

    The higher and selective cytotoxicity of [Pt(O,O′-acac)(γ-acac)(DMS)] toward cancer cell in both immortalized cell lines and in breast cancer cells in primary cultures, stimulated a pre-clinical study so as to evaluate its therapeutic potential in vivo. The efficacy of [Pt(O,O′-acac)(γ-acac)(DMS)] was assessed using a xenograft model of breast cancer developed by injection of MCF-7 cells in the flank of BALB/c nude mice. Treatment of solid tumor-bearing mice with [Pt(O,O′-acac)(γ-acac)(DMS)] induced up to 50% reduction of tumor mass compared with an average 10% inhibition recorded in cisplatin-treated animals. Thus, chemotherapy with [Pt(O,O′-acac)(γ-acac)(DMS)] was much more effective than cisplatin. We also demonstrated enhanced in vivo pharmacokinetics, biodistribution and tolerability of [Pt(O,O′-acac)(γ-acac)(DMS)] when compared with cisplatin administered in Wistar rats. Pharmacokinetics studies with [Pt(O,O′-acac)(γ-acac)(DMS)] revealed prolonged Pt persistence in systemic blood circulation and decreased nefrotoxicity and hepatotoxicity, major target sites of cisplatin toxicity. Overall, [Pt(O,O′-acac)(γ-acac)(DMS)] turned out to be extremely promising in terms of greater in vivo anticancer activity, reduced nephrotoxicity and acute toxicity compared with cisplatin. PMID:24457958

  17. Microenvironment complexity and matrix stiffness regulate breast cancer cell activity in a 3D in vitro model

    PubMed Central

    Cavo, Marta; Fato, Marco; Peñuela, Leonardo; Beltrame, Francesco; Raiteri, Roberto; Scaglione, Silvia

    2016-01-01

    Three-dimensional (3D) cell cultures represent fundamental tools for the comprehension of cellular phenomena both in normal and in pathological conditions. In particular, mechanical and chemical stimuli play a relevant role on cell fate, cancer onset and malignant evolution. Here, we use mechanically-tuned alginate hydrogels to study the role of substrate elasticity on breast adenocarcinoma cell activity. The hydrogel elastic modulus (E) was measured via atomic force microscopy (AFM) and a remarkable range (150–4000 kPa) was obtained. A breast cancer cell line, MCF-7, was seeded within the 3D gels, on standard Petri and alginate-coated dishes (2D controls). Cells showed dramatic morphological differences when cultured in 3D versus 2D, exhibiting a flat shape in both 2D conditions, while maintaining a circular, spheroid-organized (cluster) conformation within the gels, similar to those in vivo. Moreover, we observed a strict correlation between cell viability and substrate elasticity; in particular, the number of MCF-7 cells decreased constantly with increasing hydrogel elasticity. Remarkably, the highest cellular proliferation rate, associated with the formation of cell clusters, occurred at two weeks only in the softest hydrogels (E = 150–200 kPa), highlighting the need to adopt more realistic and a priori defined models for in vitro cancer studies. PMID:27734939

  18. Green tea compounds in breast cancer prevention and treatment.

    PubMed

    Li, Min-Jing; Yin, Yan-Cun; Wang, Jiao; Jiang, Yang-Fu

    2014-08-10

    Breast cancer is the most common cancer among women. In recent years, many in vitro and in vivo studies indicate that green tea possesses anti-cancer effects. The epidemiological studies, however, have produced inconclusive results in humans. Likewise, results from animal models about the preventive or therapeutic effects of green tea components are inconclusive. The mechanisms by which green tea intake may influence the risk of breast cancer in humans remain elusive mechanisms by which green tea intake may influence. Here, we review recent studies of green tea polyphenols and their applications in the prevention and treatment of breast cancer. Furthermore, we discuss the effect of green tea components on breast cancer by reviewing epidemiological studies, animal model studies and clinical trials. At last, we discuss the mechanisms by which green tea components suppress the development and recurrence of breast cancer. A better understanding of the mechanisms will improve the utilization of green tea in breast cancer prevention and therapy and pave the way to novel prevention and treatment strategies for breast cancer.

  19. Green tea compounds in breast cancer prevention and treatment

    PubMed Central

    Li, Min-Jing; Yin, Yan-Cun; Wang, Jiao; Jiang, Yang-Fu

    2014-01-01

    Breast cancer is the most common cancer among women. In recent years, many in vitro and in vivo studies indicate that green tea possesses anti-cancer effects. The epidemiological studies, however, have produced inconclusive results in humans. Likewise, results from animal models about the preventive or therapeutic effects of green tea components are inconclusive. The mechanisms by which green tea intake may influence the risk of breast cancer in humans remain elusive mechanisms by which green tea intake may influence. Here, we review recent studies of green tea polyphenols and their applications in the prevention and treatment of breast cancer. Furthermore, we discuss the effect of green tea components on breast cancer by reviewing epidemiological studies, animal model studies and clinical trials. At last, we discuss the mechanisms by which green tea components suppress the development and recurrence of breast cancer. A better understanding of the mechanisms will improve the utilization of green tea in breast cancer prevention and therapy and pave the way to novel prevention and treatment strategies for breast cancer. PMID:25114865

  20. What You Need to Know about Breast Cancer

    MedlinePlus

    ... Publications Reports What You Need To Know About™ Breast Cancer This booklet is about breast cancer. Learning about your cancer can help you take ... This booklet covers: Basics about breast anatomy and breast cancer Treatments for breast cancer, including taking part in ...

  1. Budget Impact Analysis of Switching to Digital Mammography in a Population-Based Breast Cancer Screening Program: A Discrete Event Simulation Model

    PubMed Central

    Comas, Mercè; Arrospide, Arantzazu; Mar, Javier; Sala, Maria; Vilaprinyó, Ester; Hernández, Cristina; Cots, Francesc; Martínez, Juan; Castells, Xavier

    2014-01-01

    Objective To assess the budgetary impact of switching from screen-film mammography to full-field digital mammography in a population-based breast cancer screening program. Methods A discrete-event simulation model was built to reproduce the breast cancer screening process (biennial mammographic screening of women aged 50 to 69 years) combined with the natural history of breast cancer. The simulation started with 100,000 women and, during a 20-year simulation horizon, new women were dynamically entered according to the aging of the Spanish population. Data on screening were obtained from Spanish breast cancer screening programs. Data on the natural history of breast cancer were based on US data adapted to our population. A budget impact analysis comparing digital with screen-film screening mammography was performed in a sample of 2,000 simulation runs. A sensitivity analysis was performed for crucial screening-related parameters. Distinct scenarios for recall and detection rates were compared. Results Statistically significant savings were found for overall costs, treatment costs and the costs of additional tests in the long term. The overall cost saving was 1,115,857€ (95%CI from 932,147 to 1,299,567) in the 10th year and 2,866,124€ (95%CI from 2,492,610 to 3,239,638) in the 20th year, representing 4.5% and 8.1% of the overall cost associated with screen-film mammography. The sensitivity analysis showed net savings in the long term. Conclusions Switching to digital mammography in a population-based breast cancer screening program saves long-term budget expense, in addition to providing technical advantages. Our results were consistent across distinct scenarios representing the different results obtained in European breast cancer screening programs. PMID:24832200

  2. Identifying Breast Cancer Oncogenes

    DTIC Science & Technology

    2010-10-01

    utilizing mouse intestinal cells and rat fibroblasts suggest that PTK6 may be required for cell death triggered by specific stimuli such as DNA damage [41...Parallel data of 12 normal breast organoids RNA samples and 7 bulk normal breast tissue specimens were used as normal control. Array probe data were...JJ, Tyner AL (2009) Induction of protein tyrosine kinase 6 in mouse intestinal crypt epithelial cells promotes DNA damage-induced apoptosis

  3. In utero exposure and breast cancer development: an epigenetic perspective.

    PubMed

    Hill, Jacob; Hodsdon, Wendy

    2014-01-01

    The ubiquitous and detrimental disease of breast cancer requires continual research into new and alternative forms of treatment and prevention. The emerging field of epigenetics is beginning to unfold an array of contemporary approaches to reduce the risk and improve the clinical approach to breast cancer. The information contained in this non-systematic review highlights and expands on the estrogen-based model of breast cancer epigenetics to provide an overview of epigenetic alterations induced by nutrition and environmental exposure. The majority of evidence suggests that various sources of excess estrogen correlate to future breast cancer development. In addition, maternal macro- and micronutrient balance appear to play a role in genomic regulation, and preliminary data suggest that specific superfoods, such as blueberries, have a protective epigenetic effect. Identifying the influence of environmental toxicants, hormonal exposure, maternal nutrition, and maternal disease on fetal epigenetics may have potential for development of new therapeutic approaches for the prevention of breast cancer.

  4. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Isolation of human mammary epithelial cells (HMEC) from breast cancer susceptible tissue; A: Duct element recovered from breast tissue digest. B: Outgrowth of cells from duct element in upper right corner cultured in a standard dish; most cells spontaneousely die during early cell divisions, but a few will establish long-term growth. C: Isolate of long-term frowth HMEC from outgrowth of duct element; cells shown soon after isolation and in early full-cell contact growth in culture in a dish. D: same long-term growth HMEC, but after 3 weeks in late full-cell contact growth in a continuous culture in a dish. Note attempts to reform duct elements but this in two demensions in a dish rather than in three dimensions in tissue. NASA's Marshall Space Flight Center (MSFC) is sponsoring research with Bioreactors, rotating wall vessels designed to grow tissue samples in space, to understand how breast cancer works. This ground-based work studies the growth and assembly of human mammary epithelial cell (HMEC) from breast cancer susceptible tissue. Radiation can make the cells cancerous, thus allowing better comparisons of healthy vs. tunorous tissue. Credit: Dr. Robert Richmond, NASA/Marshall Space Flight Center (MSFC).

  5. Genetics Home Reference: breast cancer

    MedlinePlus

    ... a small or moderate contribution to overall breast cancer risk. Some of these genes provide instructions for making proteins that interact with the proteins produced from the BRCA1 or BRCA2 genes. Others act through different pathways. Researchers suspect that the combined influence of variations ...

  6. Breast Cancer Startup Challenge winners

    Cancer.gov

    Ten winners of a world-wide competition to bring emerging breast cancer research technologies to market faster were announced today by the Avon Foundation for Women, in partnership with NCI and the Center for Advancing Innovation (CAI). Avon is providing

  7. The Pittsburgh Breast Cancer Consortium

    DTIC Science & Technology

    2005-08-01

    Randomized. Open-Label. Dose Comparison Study of Recombinant Human Chorionic Gonadotropin for Third Line Treatment of Metastatic Breast Cancer in...by the sponsor. Phase I Dose-Escalation Study of Thrice Weekly Recombinant Human Interleukin-2 in Combination with Trastuzumab in Subjects with

  8. Integrin activation controls metastasis in human breast cancer

    PubMed Central

    Felding-Habermann, Brunhilde; O'Toole, Timothy E.; Smith, Jeffrey W.; Fransvea, Emilia; Ruggeri, Zaverio M.; Ginsberg, Mark H.; Hughes, Paul E.; Pampori, Nisar; Shattil, Sanford J.; Saven, Alan; Mueller, Barbara M.

    2001-01-01

    Metastasis is the primary cause of death in human breast cancer. Metastasis to bone, lungs, liver, and brain involves dissemination of breast cancer cells via the bloodstream and requires adhesion within the vasculature. Blood cell adhesion within the vasculature depends on integrins, a family of transmembrane adhesion receptors, and is regulated by integrin activation. Here we show that integrin αvβ3 supports breast cancer cell attachment under blood flow conditions in an activation-dependent manner. Integrin αvβ3 was found in two distinct functional states in human breast cancer cells. The activated, but not the nonactivated, state supported tumor cell arrest during blood flow through interaction with platelets. Importantly, activated αvβ3 was expressed by freshly isolated metastatic human breast cancer cells and variants of the MDA-MB 435 human breast cancer cell line, derived from mammary fat pad tumors or distant metastases in severe combined immunodeficient mice. Expression of constitutively activated mutant αvβ3D723R, but not αvβ3WT, in MDA-MB 435 cells strongly promoted metastasis in the mouse model. Thus breast cancer cells can exhibit a platelet-interactive and metastatic phenotype that is controlled by the activation of integrin αvβ3. Consequently, alterations within tumors that lead to the aberrant control of integrin activation are expected to adversely affect the course of human breast cancer. PMID:11172040

  9. Integrin activation controls metastasis in human breast cancer

    NASA Astrophysics Data System (ADS)

    Felding-Habermann, Brunhilde; O'Toole, Timothy E.; Smith, Jeffrey W.; Fransvea, Emilia; Ruggeri, Zaverio M.; Ginsberg, Mark H.; Hughes, Paul E.; Pampori, Nisar; Shattil, Sanford J.; Saven, Alan; Mueller, Barbara M.

    2001-02-01

    Metastasis is the primary cause of death in human breast cancer. Metastasis to bone, lungs, liver, and brain involves dissemination of breast cancer cells via the bloodstream and requires adhesion within the vasculature. Blood cell adhesion within the vasculature depends on integrins, a family of transmembrane adhesion receptors, and is regulated by integrin activation. Here we show that integrin v3 supports breast cancer cell attachment under blood flow conditions in an activation-dependent manner. Integrin v3 was found in two distinct functional states in human breast cancer cells. The activated, but not the nonactivated, state supported tumor cell arrest during blood flow through interaction with platelets. Importantly, activated αvβ3 was expressed by freshly isolated metastatic human breast cancer cells and variants of the MDA-MB 435 human breast cancer cell line, derived from mammary fat pad tumors or distant metastases in severe combined immunodeficient mice. Expression of constitutively activated mutant αvβ3D723R, but not αvβ3WT, in MDA-MB 435 cells strongly promoted metastasis in the mouse model. Thus breast cancer cells can exhibit a platelet-interactive and metastatic phenotype that is controlled by the activation of integrin αvβ3. Consequently, alterations within tumors that lead to the aberrant control of integrin activation are expected to adversely affect the course of human breast cancer.

  10. Alcohol and risk of breast cancer in Mexican women

    PubMed Central

    Beasley, Jeannette M.; Coronado, Gloria D.; Livaudais, Jennifer; Angeles-Llerenas, Angélica; Ortega-Olvera, Carolina; Romieu, Isabelle; Lazcano-Ponce, Eduardo; Torres-Mejía, Gabriela

    2010-01-01

    BACKGROUND Little is known about the relationship between alcohol intake and breast cancer risk among Mexican women. This association may be modified by folate and Vitamin B12. METHODS A population-based case control study conducted in Mexico recruited 1000 incident breast cancer cases aged 35–69 and 1074 controls matched on age, region, and health care system. In-person interviews were conducted to assess breast cancer risk factors and recent diet using a food frequency questionnaire. Conditional logistic regression models estimated adjusted odds ratios and 95% confidence intervals. RESULTS Over one-half (57%) of cases and less than one-half of controls (45%) reported any lifetime alcohol consumption. Compared with never drinkers, women reporting ever drinking (Adjusted OR=1.25, 95% CI=0.99–1.58) had a greater odds of breast cancer. There was evidence for interaction in the association between ever consuming any alcohol and