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Sample records for cancer research network

  1. Research Networks Map | Division of Cancer Prevention

    Cancer.gov

    The Division of Cancer Prevention supports major scientific collaborations and research networks at more than 100 sites across the United States. Five Major Programs' sites are shown on this map. | The Division of Cancer Prevention supports major scientific collaborations and research networks at more than 100 sites across the United States.

  2. Impact of the Cancer Prevention and Control Research Network: Accelerating the Translation of Research Into Practice.

    PubMed

    Ribisl, Kurt M; Fernandez, Maria E; Friedman, Daniela B; Hannon, Peggy A; Leeman, Jennifer; Moore, Alexis; Olson, Lindsay; Ory, Marcia; Risendal, Betsy; Sheble, Laura; Taylor, Vicky M; Williams, Rebecca S; Weiner, Bryan J

    2017-03-01

    The Cancer Prevention and Control Research Network (CPCRN) is a thematic network dedicated to accelerating the adoption of evidence-based cancer prevention and control practices in communities by advancing dissemination and implementation science. Funded by the Centers for Disease Control and Prevention and National Cancer Institute, CPCRN has operated at two levels: Each participating network center conducts research projects with primarily local partners as well as multicenter collaborative research projects with state and national partners. Through multicenter collaboration, thematic networks leverage the expertise, resources, and partnerships of participating centers to conduct research projects collectively that might not be feasible individually. Although multicenter collaboration is often advocated, it is challenging to promote and assess. Using bibliometric network analysis and other graphical methods, this paper describes CPCRN's multicenter publication progression from 2004 to 2014. Searching PubMed, Scopus, and Web of Science in 2014 identified 249 peer-reviewed CPCRN publications involving two or more centers out of 6,534 total. The research and public health impact of these multicenter collaborative projects initiated by CPCRN during that 10-year period were then examined. CPCRN established numerous workgroups around topics such as: 2-1-1, training and technical assistance, colorectal cancer control, federally qualified health centers, cancer survivorship, and human papillomavirus. This paper discusses the challenges that arise in promoting multicenter collaboration and the strategies that CPCRN uses to address those challenges. The lessons learned should broadly interest those seeking to promote multisite collaboration to address public health problems, such as cancer prevention and control.

  3. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research.

    PubMed

    Li, Junyi; Li, Yi-Xue; Li, Yuan-Yuan

    2016-01-01

    With rapid development of high-throughput techniques and accumulation of big transcriptomic data, plenty of computational methods and algorithms such as differential analysis and network analysis have been proposed to explore genome-wide gene expression characteristics. These efforts are aiming to transform underlying genomic information into valuable knowledges in biological and medical research fields. Recently, tremendous integrative research methods are dedicated to interpret the development and progress of neoplastic diseases, whereas differential regulatory analysis (DRA) based on gene coexpression network (GCN) increasingly plays a robust complement to regular differential expression analysis in revealing regulatory functions of cancer related genes such as evading growth suppressors and resisting cell death. Differential regulatory analysis based on GCN is prospective and shows its essential role in discovering the system properties of carcinogenesis features. Here we briefly review the paradigm of differential regulatory analysis based on GCN. We also focus on the applications of differential regulatory analysis based on GCN in cancer research and point out that DRA is necessary and extraordinary to reveal underlying molecular mechanism in large-scale carcinogenesis studies.

  4. Active Early Detection Research Network Grants | Division of Cancer Prevention

    Cancer.gov

    The Division of Cancer Prevention (DCP) conducts and supports research to determine a person's risk of cancer and to find ways to reduce the risk. This knowledge is critical to making progress against cancer because risk varies over the lifespan as genetic and epigenetic changes can transform healthy tissue into invasive cancer.

  5. Alliance Against Cancer, the network of Italian cancer centers bridging research and care.

    PubMed

    De Paoli, Paolo; Ciliberto, Gennaro; Ferrarini, Manlio; Pelicci, PierGiuseppe; Dellabona, Paolo; De Lorenzo, Francesco; Mantovani, Alberto; Musto, Pellegrino; Opocher, Giuseppe; Picci, Piero; Ricciardi, Walter; De Maria, Ruggero

    2015-11-14

    Alliance Against Cancer (ACC) was established in Rome in 2002 as a consortium of six Italian comprehensive cancer centers (Founders). The aims of ACC were to promote a network among Italian oncologic institutions in order to develop specific, advanced projects in clinical and translational research. During the following years, many additional full and associate members joined ACC, that presently includes the National Institute of Health, 17 research-oriented hospitals, scientific and patient organizations. Furthermore, in the last three years ACC underwent a reorganization process that redesigned the structure, governance and major activities. The present goal of ACC is to achieve high standards of care across Italy, to implement and harmonize principles of modern personalized and precision medicine, by developing cost effective processes and to provide tailored information to cancer patients. We herein summarize some of the major initiatives that ACC is currently developing to reach its goal, including tumor genetic screening programs, establishment of clinical trial programs for cancer patients treated in Italian cancer centers, facilitate their access to innovative drugs under development, improve quality through an European accreditation process (European Organization of Cancer Institutes), and develop international partnerships. In conclusion, ACC is a growing organization, trying to respond to the need of networking in Italy and may contribute significantly to improve the way we face cancer in Europe.

  6. Frederick National Lab and the Pancreatic Cancer Action Network Award Fellowships for KRAS Research | Poster

    Cancer.gov

    By Nancy Parrish, Staff Writer The Frederick National Laboratory for Cancer Research (FNLCR) recently formed a partnership with the Pancreatic Cancer Action Network (PanCAN) to award a one-year fellowship to two scientists whose research will help lead to new therapies for pancreatic cancer. The scientists will focus on KRAS, a gene in the RAS family that is mutated in 95 percent of pancreatic cancers, according to the National Cancer Institute (NCI).

  7. Early Detection Research Network (EDRN) | Division of Cancer Prevention

    Cancer.gov

    http://edrn.nci.nih.gov/EDRN is a collaborative network that maintains comprehensive infrastructure and resources critical to the discovery, development and validation of biomarkers for cancer risk and early detection. The program comprises a public/private sector consortium to accelerate the development of biomarkers that will change medical practice, ensure data reproducibility, and adapt to the changing landscape of biomarker science. | Comprehensive infrastructure and resources critical to discovery, development and validation of biomarkers for cancer risk and early detection.

  8. A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.

    PubMed

    Jacobson, Rebecca S; Becich, Michael J; Bollag, Roni J; Chavan, Girish; Corrigan, Julia; Dhir, Rajiv; Feldman, Michael D; Gaudioso, Carmelo; Legowski, Elizabeth; Maihle, Nita J; Mitchell, Kevin; Murphy, Monica; Sakthivel, Mayurapriyan; Tseytlin, Eugene; Weaver, JoEllen

    2015-12-15

    Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the Text Information Extraction System (TIES) Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that are de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies, and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The network satisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network.

  9. A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens

    PubMed Central

    Becich, Michael J.; Bollag, Roni J.; Chavan, Girish; Corrigan, Julia; Dhir, Rajiv; Feldman, Michael D.; Gaudioso, Carmelo; Legowski, Elizabeth; Maihle, Nita J.; Mitchell, Kevin; Murphy, Monica; Sakthivel, Mayur; Tseytlin, Eugene; Weaver, JoEllen

    2015-01-01

    Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the TIES Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that is de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The network satisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network. PMID:26670560

  10. Building capacity for clinical research in developing countries: the INDOX Cancer Research Network experience.

    PubMed

    Ali, Raghib; Finlayson, Alexander; Indox Cancer Research Network

    2012-01-01

    Transnational Organisations increasingly prioritise the need to support local research capacity in low and middle income countries in order that local priorities are addressed with due consideration of contextual issues. There remains limited evidence on the best way in which this should be done or the ways in which external agencies can support this process.We present an analysis of the learning from the INDOX Research Network, established in 2005 as a partnership between the Institute of Cancer Medicine at the University of Oxford and India's top nine comprehensive cancer centres. INDOX aims to enable Indian centres to conduct clinical research to the highest international standards; to ensure that trials are developed to address the specific needs of Indian patients by involving Indian investigators from the outset; and to provide the training to enable them to design and conduct their own studies. We report on the implementation, outputs and challenges of simultaneously trying to build capacity and deliver meaningful research output.

  11. The Northern Appalachia Cancer Network: Changing Cancer Research, Changing People's Lives

    ERIC Educational Resources Information Center

    Lengerich, Eugene J.; Kluhsman, Brenda C.; Bencivenga, Marcyann M.; Lesko, Samuel M.; Garcia-Dominic, Oralia; Aumiller, Betsy B.; Anderson, Marcia

    2010-01-01

    The Northern Appalachia Cancer Network (NACN) is a community-academic partnership to develop, implement, and evaluate evidence-based interventions intended to reduce the burden of cancer in Appalachian Pennsylvania and New York. The NACN began in 1992 as a loose network of community coalitions intended to implement local programs for cancer…

  12. The Appalachia Cancer Network: Cancer Control Research Among a Rural, Medically Underserved Population

    ERIC Educational Resources Information Center

    Lengerich, Eugene J.; Wyatt, Stephen W.; Rubio, Angel; Beaulieu, Joyce E.; Coyne, Cathy A.; Fleisher, Linda; Ward, Ann J.; Brown, Pamela K.

    2004-01-01

    Residents of Appalachia, especially those in rural Appalachia, are generally considered to be medically underserved. In fact, cancer mortality in Appalachia, especially in rural Appalachia, is higher than it is in the remainder of the United States. Developing from the Appalachia Leadership Initiative on Cancer, the Appalachia Cancer Network (ACN)…

  13. Barrett's Esophagus Translational Research Network (BETRNet) | Division of Cancer Prevention

    Cancer.gov

    The goal of BETRNet is to reduce the incidence, morbidity, and mortality of esophageal adenocarcinoma by answering key questions related to the progression of the disease, especially in the premalignant stage. In partnership with NCI’s Division of Cancer Biology, multidisciplinary translational research centers collaborate to better understand the biology of Barrett's esophagus and esophageal adenocarcinoma to improve risk stratification and develop prevention strategies. | Multi-disciplinary, multi-institutional collaboration to enhance understanding of Barrett's esophagus and to prevent esophageal adenocarcinoma.

  14. 2009 Biospecimen research network symposium: advancing cancer research through biospecimen science.

    PubMed

    Moore, Helen M; Compton, Carolyn C; Lim, Mark D; Vaught, Jimmie; Christiansen, Katerina N; Alper, Joe

    2009-09-01

    This report details the proceedings of the 2009 Biospecimen Research Network (BRN) Symposium that took place on March 16 to 18, 2009, the second in a series of annual symposia sponsored by the National Cancer Institute Office of Biorepositories and Biospecimen Research. The BRN Symposium is a public forum addressing the relevance of biospecimen quality to progress in cancer research and the systematic investigation needed to understand how different methods of collection, processing, and storage of human biospecimens affect subsequent molecular research results. More than 300 participants from industry, academia, and government attended the symposium, which featured both formal presentations and a day of workshops aimed at addressing several key issues in biospecimen science. An additional 100 individuals participated via a live webcast (archived at http://brnsymposium.com). The BRN Symposium is part of a larger program designed as a networked, multidisciplinary research approach to increase the knowledge base for biospecimen science. Biospecimens are generally understood to represent an accurate representation of a patient's disease biology, but can instead reflect a combination of disease biology and the biospecimen's response to a wide range of biological stresses. The molecular signatures of disease can thus be confounded by the signatures of biospecimen biological stress, with the potential to affect clinical and research outcomes through incorrect diagnosis of disease, improper use of a given therapy, and irreproducible research results that can lead to misinterpretation of artifacts as biomarkers. Biospecimen research represents the kind of bricks-and-mortar research that provides a solid scientific foundation for future advances that will directly help patients.

  15. Maryland's Special Populations Network. A model for cancer disparities research, education, and training.

    PubMed

    Baquet, Claudia R; Mack, Kelly M; Mishra, Shiraz I; Bramble, Joy; Deshields, Mary; Datcher, Delores; Savoy, Mervin; Brooks, Sandra E; Boykin-Brown, Stephanie; Hummel, Kery

    2006-10-15

    The unequal burden of cancer in minority and underserved communities nationally and in Maryland is a compelling crisis. The Maryland Special Populations Cancer Research Network (MSPN) developed an infrastructure covering Maryland's 23 jurisdictions and Baltimore City through formal partnerships between the University of Maryland School of Medicine, University of Maryland Statewide Health Network, University of Maryland Eastern Shore, and community partners in Baltimore City, rural Eastern Shore, rural Western Maryland, rural Southern Maryland, and Piscataway Conoy Tribe and statewide American Indians. Guided by the community-based participatory framework, the MSPN undertook a comprehensive assessment (of needs, strengths, and resources available) that laid the foundation for programmatic efforts in community-initiated cancer awareness and education, research, and training. The MSPN infrastructure was used to implement successful and innovative community-based cancer education interventions and technological solutions; conduct education and promotion of clinical trials, cancer health disparities research, and minority faculty cancer research career development; and leverage additional resources for sustainability. MSPN engaged in informed advocacy among decision- and policymakers at state and national levels, and its community-based clinical trials program was recognized by the U.S. Department of Health and Human Services as a Best Practice Award. The solutions to reduce and eliminate cancer health disparities are complex and require comprehensive and focused multidisciplinary cancer health disparities research, training, and education strategies implemented through robust community-academic partnerships. Cancer 2006. (c) American Cancer Society.

  16. The intellectual property management for data sharing in a German liver cancer research network.

    PubMed

    He, Shan; Ganzinger, Matthias; Knaup, Petra

    2012-01-01

    Sharing data in biomedical research networks has great potential benefits including efficient use of resources, avoiding duplicate experiments and promoting collaboration. However, concerns from data producers about difficulties of getting proper acknowledgement for their contributions are becoming obstacles for efficient and network wide data sharing in reality. Effective and convenient ways of intellectual property management and acknowledging contributions to the data producers are required. This paper analyzed the system requirements for intellectual property management in a German liver cancer research network and proposed solutions for facilitating acknowledgement of data contributors using informatics tools instead of pure policy level strategies.

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

    PubMed Central

    2015-01-01

    first results are anticipated to be finished by November 2015. Conclusions To our knowledge, this will be the first RCT study to optimize social network support through a psycho-educational program for families living with parental cancer and their network members, as well as provide an evidence basis for social network support. The results may provide important knowledge that is useful for clinical practice and further research. The trial is reported according to the CONSORT checklist. ClinicalTrial International Standard Randomized Controlled Trial Number (ISRCTN): 15982171; http://www.controlled-trials.com/ISRCTN15982171/15982171 (Archived by WebCite at http://www.webcitation.org/6cg9zunS0) PMID:26733339

  18. Accreditation for excellence of cancer research institutes: recommendations from the Italian Network of Comprehensive Cancer Centers.

    PubMed

    Deriu, Pier Luigi; La Pietra, Leonardo; Pierotti, Marco; Collazzo, Raffaele; Paradiso, Angelo; Belardelli, Filippo; De Paoli, Paolo; Nigro, Aldo; Lacalamita, Rosanna; Ferrarini, Manlio; Pelicci, Piergiuseppe; Pierotti, Marco; Roli, Anna; Ciliberto, Gennaro; Scala, Stefania; Amadori, Alberto; Chiusole, Daniela; Musto, Pellegrino; Fusco, Vincenzo; Storto, Giovanni; De Maria, Ruggero; Canitano, Stefano; Apolone, Giovanni; Ravelli, Maria; Mazzini, Elisa; Amadori, Dino; Bernabini, Marna; Ancarani, Valentina; Lombardo, Claudio

    2013-01-01

    A panel of experts from Italian Comprehensive Cancer Centers defines the recommendations for external quality control programs aimed to accreditation to excellence of these institutes. After definition of the process as a systematic, periodic evaluation performed by an external agency to verify whether a health organization possesses certain prerequisites regarding structural, organizational and operational conditions that are thought to affect health care quality, the panel reviews models internationally available and makes final recommendations on aspects considered of main interest. This position paper has been produced within a special project of the Ministry of Health of the Italian Government aimed to accredit, according to OECI model, 11 Italian cancer centers in the period 2012-2014. The Project represents the effort undertaken by this network of Comprehensive Cancer Centers to find a common denominator for the experience of all Institutes in external quality control programs. Fourteen shared "statements" are put forth, designed to offer some indications on the main aspects of this subject, based on literature evidence or expert opinions. They deal with the need for "accountability" and involvement of the entire organization, the effectiveness of self-evaluation, the temporal continuity and the educational value of the experience, the use of indicators and measurement tools, additionally for intra- and inter-organization comparison, the system of evaluation models used, the provision for specific requisites for oncology, and the opportunity for mutual exchange of evaluation experiences.

  19. Colon polyp model use for educating about colorectal cancer screening in the Iowa Research Network.

    PubMed

    Daly, Jeanette M; Xu, Yinghui; Levy, Barcey T

    2014-06-01

    Providing a model of a colon segment with an adenomatous polyp and cancer can help to educate patients about the adenoma to carcinoma sequence and how this sequence can be interrupted with appropriate testing. The purpose of this study was to assess the use of a three-dimensional colon model with polyps and cancer provided to family physicians or nurses in some Iowa Research Network family physician offices. Colon models were provided to 117 family medicine healthcare providers interested in colorectal cancer screening. Using a mailed survey and follow-up telephone calls to non-responders, 81 (69%) questionnaires were returned. Thirty-six (44%) of the respondents reported they had used the model, 33 (41%) reported they used the model for a mean 16% of their patients in a month's time, 31 (38%) reported using the model to teach patients about the colon and polyps prior to a colonoscopy. Other model use described by respondents included educating staff to promote patient willingness for colonoscopies, demonstrating the need for colon cancer screening, and teaching patients about annual fecal occult blood tests. Respondents agreed that anatomical models are helpful for patient education, the design of the colon model was good, and that it facilitated demonstration of colon polyps. Possible recommendations for an office-wide adoption of an anatomical model would be an in-service for all employees and a standard location for finding the model.

  20. Innovative and community-driven communication practices of the South Carolina cancer prevention and control research network.

    PubMed

    Friedman, Daniela B; Brandt, Heather M; Freedman, Darcy A; Adams, Swann Arp; Young, Vicki M; Ureda, John R; McCracken, James Lyndon; Hébert, James R

    2014-07-24

    The South Carolina Cancer Prevention and Control Research Network (SC-CPCRN) is 1 of 10 networks funded by the Centers for Disease Control and Prevention and the National Cancer Institute (NCI) that works to reduce cancer-related health disparities. In partnership with federally qualified health centers and community stakeholders, the SC-CPCRN uses evidence-based approaches (eg, NCI Research-tested Intervention Programs) to disseminate and implement cancer prevention and control messages, programs, and interventions. We describe the innovative stakeholder- and community-driven communication efforts conducted by the SC-CPCRN to improve overall health and reduce cancer-related health disparities among high-risk and disparate populations in South Carolina. We describe how our communication efforts are aligned with 5 core values recommended for dissemination and implementation science: 1) rigor and relevance, 2) efficiency and speed, 3) collaboration, 4) improved capacity, and 5) cumulative knowledge.

  1. Active Barrett's Esophagus Translational Research Network Grants | Division of Cancer Prevention

    Cancer.gov

    The Division of Cancer Prevention (DCP) conducts and supports research to determine a person's risk of cancer and to find ways to reduce the risk. This knowledge is critical to making progress against cancer because risk varies over the lifespan as genetic and epigenetic changes can transform healthy tissue into invasive cancer.

  2. NCI Awards 18 Grants to Continue the Early Detection Research Network (EDRN) Biomarkers Effort | Division of Cancer Prevention

    Cancer.gov

    The NCI has awarded 18 grants to continue the Early Detection Research Network (EDRN), a national infrastructure that supports the integrated development, validation, and clinical application of biomarkers for the early detection of cancer. The awards fund 7 Biomarker Developmental Laboratories, 8 Clinical Validation Centers, 2 Biomarker Reference Laboratories, and a Data Management and Coordinating Center (DMCC). |

  3. Research from the Early Detection Research Network on New Methods to Detect Prostate Cancer | Division of Cancer Prevention

    Cancer.gov

    Prostate cancer is the most frequently diagnosed non-skin cancer in men in the United States. In 2010 there were 218,000 men diagnosed with prostate cancer. The prevalence of the diagnosis makes the disease a major health burden. While the majority of the diagnosed men will survive the disease, about 15% will die from it, a rate that is affected by over-diagnosis and the consequent over-treatment. |

  4. Types of Cancer Research

    Cancer.gov

    An infographic from the National Cancer Institute (NCI) describing the four broad categories of cancer research: basic research, clinical research, population-based research, and translational research.

  5. Comparative Effectiveness of Adjunctive Bevacizumab for Advanced Lung Cancer: The Cancer Research Network Experience

    PubMed Central

    Ritzwoller, Debra P.; Carroll, Nikki M.; Delate, Thomas; Hornbrook, Mark C.; Kushi, Lawrence; Aiello Bowles, Erin J.; Loggers, Elizabeth T.; Menter, Alex

    2016-01-01

    Introduction Bevacizumab plus carboplatin-paclitaxel (BCP) chemotherapy has FDA approval for advanced non-squamous, non-small cell lung cancer (NS-NSCLC) based upon improved survival in a clinical trial. However, sub-group analyses of this and other studies have suggested variable results by age and gender. Methods 1,605 HMO NS-NSCLC patients aged ≥ 21 years, diagnosed 2002–2010, who received carboplatin-paclitaxel (CP), with and without bevacizumab for first-line treatment of stage IIIB/IV disease were identified. Patients were categorized into three groups based on year of diagnosis and regimen during 120 days post-diagnosis: 1) diagnosed 2005–2010 and received BCP; 2) 2005–2010, CP (CP2005), and 3) 2002–2004, CP (CP2002). Survival differences between groups were estimated using Cox proportional hazard models with several propensity score adjustments for demographic, comorbidity, and tumor characteristics. Multi-variable sub-analyses were also estimated. Results Median survival was 12.3 months (inter quartile range [IQR] 6.0–29.1) for BCP patients versus 8.8 months (IQR 3.7–21.3) for CP2005 patients, and 7.5 months (IQR 3.8–15.6) for CP2002 patients. In the propensity score adjusted models, BCP demonstrated a significant survival benefit with a hazard ratio of BCP relative to CP2005 and CP2002 patients of 0.79 (95% CI 0.66–0.94) and 0.63 (95% CI 0.52–0.75) respectively. In the multivariable-adjusted sub-analyses, relative to the CP2005 cohort, the BCP hazard ratios for patients age <65 years, age ≥65 years, and females were 0.78 (95% CI 0.62–1.00), 0.74 (95% CI 0.54–1.00) and 0.77 (95% CI 0.58–1.00). Conclusions In this community-based, comparative effectiveness analysis, we found an overall survival benefit for adults receiving BCP compared to CP. PMID:24633407

  6. [Networks in cognitive research].

    PubMed

    Pléh, Csaba

    2012-01-01

    This review paper starts from discussing two models of network research: one starting from general networks, the other starting from the Ego. Ego based researches are characterized starting form the model of Dunbar as presenting networks of different size and intimacy, both in real and virtual networks. Researches into the personality determinants of networks mainly shows the effects of extroversion. The future of network research indicates a trend towards relating personal, conceptual, and neural networks.

  7. Highlights/Best Practices of San Francisco’s Asian American Network for Cancer Awareness, Research, and Training (AANCART)

    PubMed Central

    McPhee, Stephen J.; Nguyen, Tung T.; Mock, Jeremiah; Nguyen, Thoa; Lam, Hy

    2006-01-01

    The Asian American Network for Cancer Awareness, Research, and Training in San Francisco (AANCART-SF) consists of two distinct entities, working in cooperation to advance cancer awareness, research, and training among Asian Americans: a university-based group with expertise in the Vietnamese community and a community-based health plan with expertise in the Chinese community. In addition to the goals shared with other AANCART sites, AANCART-SF is a unique effort in capacity building in that it aims to expand and export community-academic research expertise from one Asian population, the Vietnamese, to other Asian populations. It also aims to build the research capability of those serving the Chinese community through a health plan. PMID:16270324

  8. [Network Research on Human Papillomavirus].

    PubMed

    Almeida-Gutiérrez, Eduardo; Paniagua, Ramón; Furuya, María ElenaYuriko

    2015-01-01

    In order to increase the research in important health questions at a national and institutional levels, the Human Papillomavirus Research Network of the Health Research Coordination of the Instituto Mexicano del Seguro Social offers this supplement with the purpose of assisting patients that daily look for attention due to the human papillomavirus or to cervical cancer.

  9. 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.

  10. Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) Network - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    In the spirit of collaboration inspired by the Vice President’s Cancer Moonshot, the Department of Veterans Affairs (VA), the Department of Defense (DoD), and the National Cancer Institute (NCI) are proud to announce a new tri-agency coalition (APOLLO Network — Applied Proteogenomics OrganizationaL Learning and Outcomes) that will help cancer patients by enabling their oncologists to more rapidly and accurately identify effective drugs to treat cancer based on a patient’s unique proteogenomic profile.

  11. TCGA researchers identify 4 subtypes of stomach cancer

    Cancer.gov

    Stomach cancers fall into four distinct molecular subtypes, researchers with The Cancer Genome Atlas (TCGA) Network have found. Scientists report that this discovery could change how researchers think about developing treatments for stomach cancer, also c

  12. Effective recruitment strategies and community-based participatory research: Community Networks Program Centers’ recruitment in cancer prevention studies

    PubMed Central

    Greiner, K. Allen; Friedman, Daniela B.; Adams, Swann Arp; Gwede, Clement K.; Cupertino, Paula; Engelman, Kimberly K.; Meade, Cathy D.; Hébert, James R.

    2014-01-01

    Background Community-based participatory research (CBPR) approaches that involve community and academic partners in activities ranging from protocol design through dissemination of study findings can increase recruitment of medically underserved and underrepresented racial/ethnic minority populations into biomedical research. Settings/Methods Five cancer screening and prevention trials in three NCI-funded Community Networks Program Centers (CNPCs); in Florida, Kansas and South Carolina, were conducted across diverse populations. Data were collected on total time period of recruitment, ratios of participants enrolled over potential participants approached, selected CBPR strategies, capacity-building development, and systematic procedures for community stakeholder involvement. Findings Community-engaged approaches employed included establishing co-learning opportunities, participatory procedures for community-academic involvement, and community and clinical capacity building. A relatively large proportion of individuals identified for recruitment were actually approached (between 50% and 100%). The proportion of subjects who were eligible among all those approached ranged from 25% to over 70% (in the community setting). Recruitment rates were very high (78%–100% of eligible individuals approached) and the proportion who refused or who were not interested among those approached was very low (5%–11%). Conclusions Recruitment strategies used by the CNPCs were associated with low refusal and high enrollment ratios of potential subjects. Adherence to CBPR principles in the spectrum of research activities; from strategic planning to project implementation has significant potential to increase involvement in biomedical research and improve our ability to make appropriate recommendations for cancer prevention and control programming in underrepresented diverse populations. Impact CBPR strategies should be more widely implemented to enhance study recruitment. PMID

  13. Early Detection Research Network Registry for Hereditary Cancer — EDRN Public Portal

    Cancer.gov

    The EDRN High Risk Registry (HRR)recruits individuals that carry germline mutations for hereditary cancer syndromes, who are willing to participate in biomarker studies. Recruitment is pursued through distribution of recruitment packets. The recruitment packet includes a cover letter, EDRN HRR brochure, consent form, HIPAA authorization, and baseline questionnaire. Upon completion of enrollment materials, each Registry member is provided a Certificate of Confidentiality, which has been issued by the NCI for the EDRN HRR. The EDRN HRR has a website (http://medicine2.creighton.edu/EDRN-Registry). It provides eligibilty, enrollment educational information for individuals who are at high risk of developing hereditary cancer. The EDRN HRR newsletter is published twice each year. These are distributed to EDRN HRR members on an annual basis. Follow-up questionnaires are sent to Registry participants each year. An EDRN HRR database has been established to store demographic data, personal and family history of cancer diagnoses, personal smoking history, female specific history, as well as cancer prevention, detection and treatment information collected on questionnaires. All EDRN HRR questionnaires and database use the EDRN CDEs.

  14. Bladder Cancer Advocacy Network

    MedlinePlus

    ... Sexuality Life after Radical Cystectomy Women and Bladder Cancer Immunotherapy To watch the recordings and download the transcripts, click here! Look for more topics coming this spring! Bladder cancer is the fifth most commonly diagnosed cancer in ...

  15. Introduction: Cancer Gene Networks.

    PubMed

    Clarke, Robert

    2017-01-01

    Constructing, evaluating, and interpreting gene networks generally sits within the broader field of systems biology, which continues to emerge rapidly, particular with respect to its application to understanding the complexity of signaling in the context of cancer biology. For the purposes of this volume, we take a broad definition of systems biology. Considering an organism or disease within an organism as a system, systems biology is the study of the integrated and coordinated interactions of the network(s) of genes, their variants both natural and mutated (e.g., polymorphisms, rearrangements, alternate splicing, mutations), their proteins and isoforms, and the organic and inorganic molecules with which they interact, to execute the biochemical reactions (e.g., as enzymes, substrates, products) that reflect the function of that system. Central to systems biology, and perhaps the only approach that can effectively manage the complexity of such systems, is the building of quantitative multiscale predictive models. The predictions of the models can vary substantially depending on the nature of the model and its inputoutput relationships. For example, a model may predict the outcome of a specific molecular reaction(s), a cellular phenotype (e.g., alive, dead, growth arrest, proliferation, and motility), a change in the respective prevalence of cell or subpopulations, a patient or patient subgroup outcome(s). Such models necessarily require computers. Computational modeling can be thought of as using machine learning and related tools to integrate the very high dimensional data generated from modern, high throughput omics technologies including genomics (next generation sequencing), transcriptomics (gene expression microarrays; RNAseq), metabolomics and proteomics (ultra high performance liquid chromatography, mass spectrometry), and "subomic" technologies to study the kinome, methylome, and others. Mathematical modeling can be thought of as the use of ordinary

  16. Profiles in Cancer Research

    Cancer.gov

    These articles put a face to some of the thousands of individuals who contribute to NCI’s cancer research efforts. The profiles highlight the work of scientists and clinicians and describe the circumstances and motivation behind their work.

  17. National Comprehensive Cancer Network

    MedlinePlus

    ... Safety in Cancer Care, June 15, 2017, Washington, DC Save the Date! Policy Summit: Redefining Quality Measurement in Oncology, Sept. 25, 2017, Washington, DC Save the Date! Patient Advocacy Summit: Addressing Survivorship ...

  18. Maryland's Special Populations Cancer Network: cancer health disparities reduction model.

    PubMed

    Baquet, Claudia R; Mack, Kelly M; Bramble, Joy; DeShields, Mary; Datcher, Delores; Savoy, Mervin; Hummel, Kery; Mishra, Shiraz I; Brooks, Sandra E; Boykin-Brown, Stephanie

    2005-05-01

    Cancer in Maryland is a serious health concern for minority and underserved populations in rural and urban areas. This report describes the National Cancer Institute (NCI) supported Maryland Special Populations Cancer Network (MSPN), a community-academic partnership. The MSPN's priority populations include African Americans, Native Americans, and other medically underserved residents of rural and urban areas. The MSPN has established a community infrastructure through formal collaborations with several community partners located in Baltimore City, the rural Eastern Shore, and Southern and Western Maryland, and among the Piscataway Conoy Tribe and the other 27 Native American Tribes in Maryland. Key partners also include the University of Maryland Eastern Shore and the University of Maryland Statewide Health Network. The MSPN has implemented innovative and successful programs in cancer health disparities research, outreach, and training; clinical trials education, health disparities policy, and resource leveraging. The MSPN addresses the goal of the NCI and the Department of Health and Human Services (DHHS) to reduce and eventually eliminate cancer health disparities. Community-academic partnerships are the foundation of this successful network.

  19. Identifying Network Perturbation in Cancer

    PubMed Central

    Logsdon, Benjamin A.; Gentles, Andrew J.; Lee, Su-In

    2016-01-01

    We present a computational framework, called DISCERN (DIfferential SparsE Regulatory Network), to identify informative topological changes in gene-regulator dependence networks inferred on the basis of mRNA expression datasets within distinct biological states. DISCERN takes two expression datasets as input: an expression dataset of diseased tissues from patients with a disease of interest and another expression dataset from matching normal tissues. DISCERN estimates the extent to which each gene is perturbed—having distinct regulator connectivity in the inferred gene-regulator dependencies between the disease and normal conditions. This approach has distinct advantages over existing methods. First, DISCERN infers conditional dependencies between candidate regulators and genes, where conditional dependence relationships discriminate the evidence for direct interactions from indirect interactions more precisely than pairwise correlation. Second, DISCERN uses a new likelihood-based scoring function to alleviate concerns about accuracy of the specific edges inferred in a particular network. DISCERN identifies perturbed genes more accurately in synthetic data than existing methods to identify perturbed genes between distinct states. In expression datasets from patients with acute myeloid leukemia (AML), breast cancer and lung cancer, genes with high DISCERN scores in each cancer are enriched for known tumor drivers, genes associated with the biological processes known to be important in the disease, and genes associated with patient prognosis, in the respective cancer. Finally, we show that DISCERN can uncover potential mechanisms underlying network perturbation by explaining observed epigenomic activity patterns in cancer and normal tissue types more accurately than alternative methods, based on the available epigenomic data from the ENCODE project. PMID:27145341

  20. Network Topologies Decoding Cervical Cancer

    PubMed Central

    Jalan, Sarika; Kanhaiya, Krishna; Rai, Aparna; Bandapalli, Obul Reddy; Yadav, Alok

    2015-01-01

    According to the GLOBOCAN statistics, cervical cancer is one of the leading causes of death among women worldwide. It is found to be gradually increasing in the younger population, specifically in the developing countries. We analyzed the protein-protein interaction networks of the uterine cervix cells for the normal and disease states. It was found that the disease network was less random than the normal one, providing an insight into the change in complexity of the underlying network in disease state. The study also portrayed that, the disease state has faster signal processing as the diameter of the underlying network was very close to its corresponding random control. This may be a reason for the normal cells to change into malignant state. Further, the analysis revealed VEGFA and IL-6 proteins as the distinctly high degree nodes in the disease network, which are known to manifest a major contribution in promoting cervical cancer. Our analysis, being time proficient and cost effective, provides a direction for developing novel drugs, therapeutic targets and biomarkers by identifying specific interaction patterns, that have structural importance. PMID:26308848

  1. Biological Networks for Cancer Candidate Biomarkers Discovery

    PubMed Central

    Yan, Wenying; Xue, Wenjin; Chen, Jiajia; Hu, Guang

    2016-01-01

    Due to its extraordinary heterogeneity and complexity, cancer is often proposed as a model case of a systems biology disease or network disease. There is a critical need of effective biomarkers for cancer diagnosis and/or outcome prediction from system level analyses. Methods based on integrating omics data into networks have the potential to revolutionize the identification of cancer biomarkers. Deciphering the biological networks underlying cancer is undoubtedly important for understanding the molecular mechanisms of the disease and identifying effective biomarkers. In this review, the networks constructed for cancer biomarker discovery based on different omics level data are described and illustrated from recent advances in the field. PMID:27625573

  2. Research Studies & Networks

    Cancer.gov

    These epidemiological studies may assist in evaluating associations between certain pharmaceuticals and disease risk and contain detailed information on pharmaceutical use and disease risk, including cancer.

  3. Training and mobility: a priority for the Organisation of the European Cancer Institutes. How a national mobility initiative could enhance EU cooperation in cancer research contributing to the development of an European Research Area: the example of The Italian Comprehensive Cancer Centers' Network "Alleanza Contro il Cancro".

    PubMed

    Lombardo, Claudio; Albanese, Daniela; Belardelli, Filippo; d'Alessandro, Francesca; Giacomini, Mauro; Rondanina, Tania; Spagnoli, Luigi G

    2008-01-01

    It is widely recognized that productivity gains, sustained economic growth and employment are largely determined by technological progress, innovation and human capital. The 2000 Lisbon strategy to make Europe a competitive knowledge-based economy by 2010 and, more specifically, the Barcelona objectives agreed upon in 2002 to increase R&D investment in the EU to approach 3% of GDP, ensuring that there are sufficient human resources for research, are a preliminary step in this direction. If we want to reach this goal we have to succeed in retaining the best researchers, creating the right environment where they can perform their activities and develop their careers. To this aim the Organization of European Cancer Institutes (OECI) has set up a working group on Education and Training with the mandate to encourage continuing education in cancer research and applications and to verify the feasibility to promote mobility programs inside the network and in association with industries. Until now only few OECI training programs have been launched and a full mobility program has not been developed yet due to limited budget resources. The Italian Network of Comprehensive Cancer Centers, Alleanza Contro il Cancro, has planned the launch of a mobility program awarding 70 annual fellowships over a period of 36 months. This program, which will be open to the world research community, could represent a first interaction through mobility among the members of the OECI network also involving industries. The program is a tangible approach to sustain the translational process needed for the development of an European Research Area in the field of cancer and its related biomedical disciplines, thus providing a practical answer to the 2005 renewed Lisbon Strategy.

  4. Fostering Cooperation in Cancer Research

    Cancer.gov

    Thursday, June 25, 2015 Memorandum of Understanding (MoU) was signed between US National Cancer Institute and three agencies of the Indian government - the Department of Biotechnology, the Indian Council of Medical Research, and the Indian National Cancer Institute, a part of the All India Institute of Medical Sciences to foster cooperation in cancer research.

  5. Cancer Prevention Research in China.

    PubMed

    Yu, Siwang; Yang, Chung S; Li, Junyao; You, Weicheng; Chen, Jianguo; Cao, Ya; Dong, Zigang; Qiao, Youlin

    2015-08-01

    Although cancer incidence and mortality rates in the United States and some European countries have started to decrease, those in developing countries are increasing. China, the most populous developing country, is facing a serious challenge from cancer. Cancer incidence has been increasing for decades, and cancer is the leading cause of death in China. In 2012, the cancer incidence was 174.0 per 100,000, and the cancer mortality was 122.2 per 100,000 in China. In addition to the still-prevalent traditional Chinese cancers of the stomach, liver, esophagus, cervix, and nasopharynx, the incidence of "Western" cancers such those of the lung, breast, and colorectum has increased alarmingly in recent years. These increases are likely due to the lifestyle and environmental changes associated with rapid economic development and population aging. More importantly, a large portion of these cancers are preventable. Researchers in China have made important contributions to cancer prevention research, especially in the traditional Chinese cancers. More cancer prevention research and measures, especially on the major emerging cancers, are urgently needed. This review article highlights some of the past achievements and present needs in cancer prevention research in China and suggests important areas for future studies.

  6. 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.

  7. NCI Community Oncology Research Program (NCORP) | Division of Cancer Prevention

    Cancer.gov

    The NCI Community Oncology Research Program (NCORP) is a national network of cancer care investigators, providers, academia, and other organizations that care for diverse populations in health systems. View the list of publications from NCORP. | Clinical Trials network of cancer care professionals who care for diverse populations across the U.S.

  8. Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks

    PubMed Central

    2015-01-01

    Abstract Background Molecular networks are the basis of biological processes. Such networks can be decomposed into smaller modules, also known as network motifs. These motifs show interesting dynamical behaviors, in which co-operativity effects between the motif components play a critical role in human diseases. We have developed a motif-searching algorithm, which is able to identify common motif types from the cancer networks and signal transduction networks (STNs). Some of the network motifs are interconnected which can be merged together and form more complex structures, the so-called coupled motif structures (CMS). These structures exhibit mixed dynamical behavior, which may lead biological organisms to perform specific functions. Results In this study, we integrate transcription factors (TFs), microRNAs (miRNAs), miRNA targets and network motifs information to build the cancer-related TF-miRNA-motif networks (TMMN). This allows us to examine the role of network motifs in cancer formation at different levels of regulation, i.e. transcription initiation (TF → miRNA), gene-gene interaction (CMS), and post-transcriptional regulation (miRNA → target genes). Among the cancer networks and STNs we considered, it is found that there is a substantial amount of crosstalking through motif interconnections, in particular, the crosstalk between prostate cancer network and PI3K-Akt STN. Conclusions To validate the role of network motifs in cancer formation, several examples are presented which demonstrated the effectiveness of the present approach. A web-based platform has been set up which can be accessed at: http://ppi.bioinfo.asia.edu.tw/pathway/. It is very likely that our results can supply very specific CMS missing information for certain cancer types, it is an indispensable tool for cancer biology research. PMID:25707690

  9. Predictors of Colorectal Screening in Rural Colorado: Testing to Prevent Colon Cancer in the High Plains Research Network

    ERIC Educational Resources Information Center

    Young, Walter F.; McGloin, Joe; Zittleman, Linda; West, David R.; Westfall, John M.

    2007-01-01

    Context: Colorectal cancer is the second leading cause of cancer death in the United States, yet screening rates are well below target levels. Rural communities may face common and unique barriers to health care, particularly preventive health care. Purpose: To establish baseline attitudinal, knowledge, belief, and behavior measures on colorectal…

  10. A SOCIAL NETWORK ANALYSIS APPROACH TO UNDERSTAND CHANGES IN A CANCER DISPARITIES COMMUNITY PARTNERSHIP NETWORK.

    PubMed

    Luque, John S; Tyson, Dinorah Martinez; Bynum, Shalanda A; Noel-Thomas, Shalewa; Wells, Kristen J; Vadaparampil, Susan T; Gwede, Clement K; Meade, Cathy D

    2011-11-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of the Community Network Program sites funded (2005-10) by the National Cancer Institute's Center to Reduce Cancer Health Disparities. TBCCN was tasked to form a sustainable, community-based partnership network focused on the goal of reducing cancer health disparities among racial-ethnic minority and medically underserved populations. This article reports evaluation outcome results from a social network analysis and discusses the varying TBCCN partner roles-in education, training, and research-over a span of three years (2007-09). The network analysis included 20 local community partner organizations covering a tricounty area in Southwest Florida. In addition, multiple externally funded, community-based participatory research pilot projects with community-academic partners have either been completed or are currently in progress, covering research topics including culturally targeted colorectal and prostate cancer screening education, patient navigation focused on preventing cervical cancer in rural Latinas, and community perceptions of biobanking. The social network analysis identified a trend toward increased network decentralization based on betweenness centrality and overall increase in number of linkages, suggesting network sustainability. Degree centrality, trust, and multiplexity exhibited stability over the three-year time period. These results suggest increased interaction and interdependence among partner organizations and less dependence on the cancer center. Social network analysis enabled us to quantitatively evaluate partnership network functioning of TBCCN in terms of network structure and information and resources flows, which are integral to understanding effective coalition practice based on Community Coalition Action Theory ( Butterfoss and Kegler 2009). Sharing the results of the social network analysis with the partnership network is an important component of our coalition building efforts. A

  11. Evaluating primary care research networks.

    PubMed

    Fenton, Evelyn; Harvey, Janet; Sturt, Jackie

    2007-08-01

    This paper presents a conceptual framework and tool kit, generated from the evaluation of five primary care research networks (PCRNs) funded by the then London, National Health Service (NHS) Executive. We employed qualitative methods designed to match the most important characteristics of PCRNs, conducting five contextualized case studies covering the five networks. A conceptual evaluation framework based on a review of the organization science literature was developed and comprised the broad, but inter-related organizational dimensions of structure, processes, boundaries and network self-evaluation as input factors and strategic emphasis as epitomized by network objectives. These dimensions were comprised of more detailed subdimensions designed to capture the potential of the networks to create ideas and knowledge, or intellectual capital, the key construct upon which our evaluation tool kit was based. We considered the congruence, or fit, between network objectives and input factors: greater congruence implied greater ability to achieve implicit and overt objectives. We conclude that network evaluation must take place, over time, recognizing stage of development and potential for long-term viability, but within a generic framework of inputs and outputs. If there is a good fit or congruence between their input factors and network objectives, networks will be internally coherent and able to operate at optimum effectiveness.

  12. Open Research Networking Gadgets (ORNG).

    PubMed

    Meeks, Eric; Turner, Brian; Chatterjee, Anirvan; Yuan, Leslie

    2013-01-01

    In 2009, UCSF embarked on a journey to utilize industry-backed application standards to extend our research networking tool of choice, Profiles, into a software platform. The goal of this work was to bring extended data and functionality to our researchers' online environment and make it easier to share independently-developed software innovations with others. We used the OpenSocial standard to achieve these ends. In 2012 we extended the OpenSocial standard to support RDF and the VIVO Ontology in an effort titled "Open Research Network Gadgets" or ORNG. Our work has been adopted by two major academic open source research networking tools - Harvard Catalyst Profiles and VIVO, and the ORNG standard is now available for use by the 50+ institutions that use recent versions of the two software products.

  13. US-LA CRN Clinical Cancer Research in Latin America

    Cancer.gov

    The United States – Latin America Cancer Research Network (US-LA CRN) convened its Annual Meeting, in coordination with the Ministry of Health of Chile to discuss the Network’s first multilateral clinical research study: Molecular Profiling of Breast Cancer (MPBC).

  14. Development of the Meharry Medical College Prostate Cancer Research Program

    DTIC Science & Technology

    2006-03-01

    viable community network ties. One project will investigate health care seeking behavior of AA, another will investigate the role of lycopene in PCa risk...SUBJECT TERMS Prostate cancer, Dietary risk factors, Lycopene , Genetic predisposition, African-Americans, Cancer research training, Prostate cancer...The PI awaits comments from the HSRRB. Project 1: (Dr. Ukoli, PI / Dr. Dittus, Mentor) “ Lycopene in Prostate Cancer Risk among African-Americans

  15. 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.

  16. 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.

  17. 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.

  18. 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 ...

  19. Network Penetration Testing and Research

    NASA Technical Reports Server (NTRS)

    Murphy, Brandon F.

    2013-01-01

    This paper will focus the on research and testing done on penetrating a network for security purposes. This research will provide the IT security office new methods of attacks across and against a company's network as well as introduce them to new platforms and software that can be used to better assist with protecting against such attacks. Throughout this paper testing and research has been done on two different Linux based operating systems, for attacking and compromising a Windows based host computer. Backtrack 5 and BlackBuntu (Linux based penetration testing operating systems) are two different "attacker'' computers that will attempt to plant viruses and or NASA USRP - Internship Final Report exploits on a host Windows 7 operating system, as well as try to retrieve information from the host. On each Linux OS (Backtrack 5 and BlackBuntu) there is penetration testing software which provides the necessary tools to create exploits that can compromise a windows system as well as other operating systems. This paper will focus on two main methods of deploying exploits 1 onto a host computer in order to retrieve information from a compromised system. One method of deployment for an exploit that was tested is known as a "social engineering" exploit. This type of method requires interaction from unsuspecting user. With this user interaction, a deployed exploit may allow a malicious user to gain access to the unsuspecting user's computer as well as the network that such computer is connected to. Due to more advance security setting and antivirus protection and detection, this method is easily identified and defended against. The second method of exploit deployment is the method mainly focused upon within this paper. This method required extensive research on the best way to compromise a security enabled protected network. Once a network has been compromised, then any and all devices connected to such network has the potential to be compromised as well. With a compromised

  20. Randomness and preserved patterns in cancer network

    PubMed Central

    Rai, Aparna; Menon, A. Vipin; Jalan, Sarika

    2014-01-01

    Breast cancer has been reported to account for the maximum cases among all female cancers till date. In order to gain a deeper insight into the complexities of the disease, we analyze the breast cancer network and its normal counterpart at the proteomic level. While the short range correlations in the eigenvalues exhibiting universality provide an evidence towards the importance of random connections in the underlying networks, the long range correlations along with the localization properties reveal insightful structural patterns involving functionally important proteins. The analysis provides a benchmark for designing drugs which can target a subgraph instead of individual proteins. PMID:25220184

  1. 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

  2. Collaborating to Move Research Forward: Proceedings of the 10th Annual Bladder Cancer Think Tank.

    PubMed

    Kamat, Ashish M; Agarwal, Piyush; Bivalacqua, Trinity; Chisolm, Stephanie; Daneshmand, Sia; Doroshow, James H; Efstathiou, Jason A; Galsky, Matthew; Iyer, Gopa; Kassouf, Wassim; Shah, Jay; Taylor, John; Williams, Stephen B; Quale, Diane Zipursky; Rosenberg, Jonathan E

    2016-04-27

    The 10th Annual Bladder Cancer Think Tank was hosted by the Bladder Cancer Advocacy Network and brought together a multidisciplinary group of clinicians, researchers, representatives and Industry to advance bladder cancer research efforts. Think Tank expert panels, group discussions, and networking opportunities helped generate ideas and strengthen collaborations between researchers and physicians across disciplines and between institutions. Interactive panel discussions addressed a variety of timely issues: 1) data sharing, privacy and social media; 2) improving patient navigation through therapy; 3) promising developments in immunotherapy; 4) and moving bladder cancer research from bench to bedside. Lastly, early career researchers presented their bladder cancer studies and had opportunities to network with leading experts.

  3. Prevalence and Type of BRCA Mutations in Hispanics Undergoing Genetic Cancer Risk Assessment in the Southwestern United States: A Report From the Clinical Cancer Genetics Community Research Network

    PubMed Central

    Weitzel, Jeffrey N.; Clague, Jessica; Martir-Negron, Arelis; Ogaz, Raquel; Herzog, Josef; Ricker, Charité; Jungbluth, Chelsy; Cina, Cheryl; Duncan, Paul; Unzeitig, Gary; Saldivar, J. Salvador; Beattie, Mary; Feldman, Nancy; Sand, Sharon; Port, Danielle; Barragan, Deborah I.; John, Esther M.; Neuhausen, Susan L.; Larson, Garrett P.

    2013-01-01

    Purpose To determine the prevalence and type of BRCA1 and BRCA2 (BRCA) mutations among Hispanics in the Southwestern United States and their potential impact on genetic cancer risk assessment (GCRA). Patients and Methods Hispanics (n = 746) with a personal or family history of breast and/or ovarian cancer were enrolled in an institutional review board–approved registry and received GCRA and BRCA testing within a consortium of 14 clinics. Population-based Hispanic breast cancer cases (n = 492) enrolled in the Northern California Breast Cancer Family Registry, negative by sequencing for BRCA mutations, were analyzed for the presence of the BRCA1 ex9-12del large rearrangement. Results Deleterious BRCA mutations were detected in 189 (25%) of 746 familial clinic patients (124 BRCA1, 65 BRCA2); 21 (11%) of 189 were large rearrangement mutations, of which 62% (13 of 21) were BRCA1 ex9-12del. Nine recurrent mutations accounted for 53% of the total. Among these, BRCA1 ex9-12del seems to be a Mexican founder mutation and represents 10% to 12% of all BRCA1 mutations in clinic- and population-based cohorts in the United States. Conclusion BRCA mutations were prevalent in the largest study of Hispanic breast and/or ovarian cancer families in the United States to date, and a significant proportion were large rearrangement mutations. The high frequency of large rearrangement mutations warrants screening in every case. We document the first Mexican founder mutation (BRCA1 ex9-12del), which, along with other recurrent mutations, suggests the potential for a cost-effective panel approach to ancestry-informed GCRA. PMID:23233716

  4. 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

  5. LTAR linkages with other research networks: Capitalizing on network interconnections

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The USDA ARS Research Unit based at the Jornada Experimental Range outside of Las Cruces, NM, is a member of the USDA’s Long Term Agro-ecosystem Research (LTAR) Network, the National Science Foundation’s Long Term Ecological Research (LTER) Network, the National Ecological Observation Network (NEON)...

  6. Canopy Research Network seeks input

    NASA Astrophysics Data System (ADS)

    In July 1993, the Canopy Research Network was established with a 2-year planning grant from the National Science Foundation to bring together forest canopy researchers, quantitative scientists, and computer specialists to establish methods for collecting, storing, analyzing, interpreting, and displaying three-dimensional data that relate to tree crowns and forest canopies. The CRN is now soliciting input from scientists in other fields who may have developed techniques and software to help obtain answers to questions that concern the complex three-dimensional structure of tree crowns and forest canopies. Over the next 3 years, the CRN plans to compile an array of research questions and issues requiring information on canopy structure, examine useful information models and software tools already in use in allied fields, and develop conceptual models and recommendations for the types and format of information and analyses necessary to answer research questions posed by canopy researchers.

  7. Microrheology of keratin networks in cancer cells

    NASA Astrophysics Data System (ADS)

    Paust, T.; Paschke, S.; Beil, M.; Marti, O.

    2013-12-01

    Microrheology is a valuable tool to determine viscoelastic properties of polymer networks. For this purpose measurements with embedded tracer beads inside the extracted network of pancreatic cancer cells were performed. Observing the beads motion with a CCD-high-speed-camera leads to the dynamic shear modulus. The complex shear modulus is divided into real and imaginary parts which give insight into the mechanical properties of the cell. The dependency on the distance of the embedded beads to the rim of the nucleus shows a tendency for a deceasing storage modulus. We draw conclusions on the network topology of the keratin network types based on the mechanical behavior.

  8. 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

  9. Graph Curvature for Differentiating Cancer Networks

    PubMed Central

    Sandhu, Romeil; Georgiou, Tryphon; Reznik, Ed; Zhu, Liangjia; Kolesov, Ivan; Senbabaoglu, Yasin; Tannenbaum, Allen

    2015-01-01

    Cellular interactions can be modeled as complex dynamical systems represented by weighted graphs. The functionality of such networks, including measures of robustness, reliability, performance, and efficiency, are intrinsically tied to the topology and geometry of the underlying graph. Utilizing recently proposed geometric notions of curvature on weighted graphs, we investigate the features of gene co-expression networks derived from large-scale genomic studies of cancer. We find that the curvature of these networks reliably distinguishes between cancer and normal samples, with cancer networks exhibiting higher curvature than their normal counterparts. We establish a quantitative relationship between our findings and prior investigations of network entropy. Furthermore, we demonstrate how our approach yields additional, non-trivial pair-wise (i.e. gene-gene) interactions which may be disrupted in cancer samples. The mathematical formulation of our approach yields an exact solution to calculating pair-wise changes in curvature which was computationally infeasible using prior methods. As such, our findings lay the foundation for an analytical approach to studying complex biological networks. PMID:26169480

  10. 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

  11. Microarrays in cancer research.

    PubMed

    Grant, Geraldine M; Fortney, Amanda; Gorreta, Francesco; Estep, Michael; Del Giacco, Luca; Van Meter, Amy; Christensen, Alan; Appalla, Lakshmi; Naouar, Chahla; Jamison, Curtis; Al-Timimi, Ali; Donovan, Jean; Cooper, James; Garrett, Carleton; Chandhoke, Vikas

    2004-01-01

    Microarray technology has presented the scientific community with a compelling approach that allows for simultaneous evaluation of all cellular processes at once. Cancer, being one of the most challenging diseases due to its polygenic nature, presents itself as a perfect candidate for evaluation by this approach. Several recent articles have provided significant insight into the strengths and limitations of microarrays. Nevertheless, there are strong indications that this approach will provide new molecular markers that could be used in diagnosis and prognosis of cancers. To achieve these goals it is essential that there is a seamless integration of clinical and molecular biological data that allows us to elucidate genes and pathways involved in various cancers. To this effect we are currently evaluating gene expression profiles in human brain, ovarian, breast and hematopoetic, lung, colorectal, head and neck and biliary tract cancers. To address the issues we have a joint team of scientists, doctors and computer scientists from two Virginia Universities and a major healthcare provider. The study has been divided into several focus groups that include; Tissue Bank Clinical & Pathology Laboratory Data, Chip Fabrication, QA/QC, Tissue Devitalization, Database Design and Data Analysis, using multiple microarray platforms. Currently over 300 consenting patients have been enrolled in the study with the largest number being that of breast cancer patients. Clinical data on each patient is being compiled into a secure and interactive relational database and integration of these data elements will be accomplished by a common programming interface. This clinical database contains several key parameters on each patient including demographic (risk factors, nutrition, co-morbidity, familial history), histopathology (non genetic predictors), tumor, treatment and follow-up information. Gene expression data derived from the tissue samples will be linked to this database, which

  12. The National Cancer Institute's Physical Sciences - Oncology Network

    NASA Astrophysics Data System (ADS)

    Espey, Michael Graham

    In 2009, the NCI launched the Physical Sciences - Oncology Centers (PS-OC) initiative with 12 Centers (U54) funded through 2014. The current phase of the Program includes U54 funded Centers with the added feature of soliciting new Physical Science - Oncology Projects (PS-OP) U01 grant applications through 2017; see NCI PAR-15-021. The PS-OPs, individually and along with other PS-OPs and the Physical Sciences-Oncology Centers (PS-OCs), comprise the Physical Sciences-Oncology Network (PS-ON). The foundation of the Physical Sciences-Oncology initiative is a high-risk, high-reward program that promotes a `physical sciences perspective' of cancer and fosters the convergence of physical science and cancer research by forming transdisciplinary teams of physical scientists (e.g., physicists, mathematicians, chemists, engineers, computer scientists) and cancer researchers (e.g., cancer biologists, oncologists, pathologists) who work closely together to advance our understanding of cancer. The collaborative PS-ON structure catalyzes transformative science through increased exchange of people, ideas, and approaches. PS-ON resources are leveraged to fund Trans-Network pilot projects to enable synergy and cross-testing of experimental and/or theoretical concepts. This session will include a brief PS-ON overview followed by a strategic discussion with the APS community to exchange perspectives on the progression of trans-disciplinary physical sciences in cancer research.

  13. 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

  14. 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.

  15. The Future of Prostate Cancer Research and Treatment

    Cancer.gov

    On January 12, 2017 prostate cancer experts William Dahut, M.D. of the National Cancer Institute and Dr. Heather Cheng, M.D. of the University of Washington had a vibrant discussion about current and future research areas and treatment options for prostate cancer. The panel was moderated by Ana Fadich, MPH, CHES Vice President at Men’s Health of the Men's Health Network.

  16. What's New in Research and Treatment of Melanoma Skin Cancer?

    MedlinePlus

    ... Melanoma Skin Cancer About Melanoma Skin Cancer What’s New in Melanoma Skin Cancer Research? Research into the ... Cancer? Key Statistics for Melanoma Skin Cancer What’s New in Melanoma Skin Cancer Research? More In Melanoma ...

  17. Transcriptional networks inferred from molecular signatures of breast cancer.

    PubMed

    Tongbai, Ron; Idelman, Gila; Nordgard, Silje H; Cui, Wenwu; Jacobs, Jonathan L; Haggerty, Cynthia M; Chanock, Stephen J; Børresen-Dale, Anne-Lise; Livingston, Gary; Shaunessy, Patrick; Chiang, Chih-Hung; Kristensen, Vessela N; Bilke, Sven; Gardner, Kevin

    2008-02-01

    Global genomic approaches in cancer research have provided new and innovative strategies for the identification of signatures that differentiate various types of human cancers. Computational analysis of the promoter composition of the genes within these signatures may provide a powerful method for deducing the regulatory transcriptional networks that mediate their collective function. In this study we have systematically analyzed the promoter composition of gene classes derived from previously established genetic signatures that recently have been shown to reliably and reproducibly distinguish five molecular subtypes of breast cancer associated with distinct clinical outcomes. Inferences made from the trends of transcription factor binding site enrichment in the promoters of these gene groups led to the identification of regulatory pathways that implicate discrete transcriptional networks associated with specific molecular subtypes of breast cancer. One of these inferred pathways predicted a role for nuclear factor-kappaB in a novel feed-forward, self-amplifying, autoregulatory module regulated by the ERBB family of growth factor receptors. The existence of this pathway was verified in vivo by chromatin immunoprecipitation and shown to be deregulated in breast cancer cells overexpressing ERBB2. This analysis indicates that approaches of this type can provide unique insights into the differential regulatory molecular programs associated with breast cancer and will aid in identifying specific transcriptional networks and pathways as potential targets for tumor subtype-specific therapeutic intervention.

  18. Transcriptional Networks Inferred from Molecular Signatures of Breast Cancer

    PubMed Central

    Tongbai, Ron; Idelman, Gila; Nordgard, Silje H.; Cui, Wenwu; Jacobs, Jonathan L.; Haggerty, Cynthia M.; Chanock, Stephen J.; Børresen-Dale, Anne-Lise; Livingston, Gary; Shaunessy, Patrick; Chiang, Chih-Hung; Kristensen, Vessela N.; Bilke, Sven; Gardner, Kevin

    2008-01-01

    Global genomic approaches in cancer research have provided new and innovative strategies for the identification of signatures that differentiate various types of human cancers. Computational analysis of the promoter composition of the genes within these signatures may provide a powerful method for deducing the regulatory transcriptional networks that mediate their collective function. In this study we have systematically analyzed the promoter composition of gene classes derived from previously established genetic signatures that recently have been shown to reliably and reproducibly distinguish five molecular subtypes of breast cancer associated with distinct clinical outcomes. Inferences made from the trends of transcription factor binding site enrichment in the promoters of these gene groups led to the identification of regulatory pathways that implicate discrete transcriptional networks associated with specific molecular subtypes of breast cancer. One of these inferred pathways predicted a role for nuclear factor-κB in a novel feed-forward, self-amplifying, autoregulatory module regulated by the ERBB family of growth factor receptors. The existence of this pathway was verified in vivo by chromatin immunoprecipitation and shown to be deregulated in breast cancer cells overexpressing ERBB2. This analysis indicates that approaches of this type can provide unique insights into the differential regulatory molecular programs associated with breast cancer and will aid in identifying specific transcriptional networks and pathways as potential targets for tumor subtype-specific therapeutic intervention. PMID:18187569

  19. California Cancer Registry Enhancement for Breast Cancer Research.

    DTIC Science & Technology

    1997-10-01

    AD Grant Number DAMD17-94-J-4508. TITLE: California Cancer Registry Enhancement for Breast Cancer Research PRINCIPAL INVESTIGATOR: William...96 - 30 Sep 97) 4. TITLE AND SUBTITLE California Cancer Registry Enhancement for Breast Cancer Research 6. AUTHOR(S) William Wright, Ph.D. 7...of this project is to enhance the value of the California Cancer Registry as a research tool for clinicians and epidemiologists interested in

  20. What's New in Prostate Cancer Research and Treatment?

    MedlinePlus

    ... Cancer Research? Prostate Cancer About Prostate Cancer What’s New in Prostate Cancer Research? Research into the causes, ... in many medical centers throughout the world. Genetics New research on gene changes linked to prostate cancer ...

  1. 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).

  2. 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).

  3. 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).

  4. Detroit Research on Cancer Survivors Study

    Cancer.gov

    An NCI press release about the launch of the Detroit Research on Cancer Survivors (ROCS) study, which will look at factors affecting cancer progression, recurrence, mortality, and quality of life among African-American cancer survivors.

  5. National research and education network

    NASA Technical Reports Server (NTRS)

    Villasenor, Tony

    1991-01-01

    Some goals of this network are as follows: Extend U.S. technological leadership in high performance computing and computer communications; Provide wide dissemination and application of the technologies both to the speed and the pace of innovation and to serve the national economy, national security, education, and the global environment; and Spur gains in the U.S. productivity and industrial competitiveness by making high performance computing and networking technologies an integral part of the design and production process. Strategies for achieving these goals are as follows: Support solutions to important scientific and technical challenges through a vigorous R and D effort; Reduce the uncertainties to industry for R and D and use of this technology through increased cooperation between government, industry, and universities and by the continued use of government and government funded facilities as a prototype user for early commercial HPCC products; and Support underlying research, network, and computational infrastructures on which U.S. high performance computing technology is based.

  6. Regulation patterns in signaling networks of cancer

    PubMed Central

    2010-01-01

    Background Formation of cellular malignancy results from the disruption of fine tuned signaling homeostasis for proliferation, accompanied by mal-functional signals for differentiation, cell cycle and apoptosis. We wanted to observe central signaling characteristics on a global view of malignant cells which have evolved to selfishness and independence in comparison to their non-malignant counterparts that fulfill well defined tasks in their sample. Results We investigated the regulation of signaling networks with twenty microarray datasets from eleven different tumor types and their corresponding non-malignant tissue samples. Proteins were represented by their coding genes and regulatory distances were defined by correlating the gene-regulation between neighboring proteins in the network (high correlation = small distance). In cancer cells we observed shorter pathways, larger extension of the networks, a lower signaling frequency of central proteins and links and a higher information content of the network. Proteins of high signaling frequency were enriched with cancer mutations. These proteins showed motifs of regulatory integration in normal cells which was disrupted in tumor cells. Conclusion Our global analysis revealed a distinct formation of signaling-regulation in cancer cells when compared to cells of normal samples. From these cancer-specific regulation patterns novel signaling motifs are proposed. PMID:21110851

  7. Medical education practice-based research networks: Facilitating collaborative research

    PubMed Central

    Schwartz, Alan; Young, Robin; Hicks, Patricia J.; APPD LEARN, For

    2016-01-01

    Abstract Background: Research networks formalize and institutionalize multi-site collaborations by establishing an infrastructure that enables network members to participate in research, propose new studies, and exploit study data to move the field forward. Although practice-based clinical research networks are now widespread, medical education research networks are rapidly emerging. Aims: In this article, we offer a definition of the medical education practice-based research network, a brief description of networks in existence in July 2014 and their features, and a more detailed case study of the emergence and early growth of one such network, the Association of Pediatric Program Directors Longitudinal Educational Assessment Research Network (APPD LEARN). Methods: We searched for extant networks through peer-reviewed literature and the world-wide web. Results: We identified 15 research networks in medical education founded since 2002 with membership ranging from 8 to 120 programs. Most focus on graduate medical education in primary care or emergency medicine specialties. Conclusions: We offer four recommendations for the further development and spread of medical education research networks: increasing faculty development, obtaining central resources, studying networks themselves, and developing networks of networks. PMID:25319404

  8. Research in Danish cancer rehabilitation: social characteristics and late effects of cancer among participants in the FOCARE research project.

    PubMed

    Høybye, Mette Terp; Dalton, Susanne Oksbjerg; Christensen, Jane; Larsen, Lone Ross; Kuhn, Katrin Gaardbo; Jensen, Jette Nygaard; Carlsen, Kathrine; Johansen, Christoffer

    2008-01-01

    Worldwide, the number of cancer survivors is increasing, owing to improvements in cancer therapy, resulting in an increased need to address the physical and mental sequelae of cancer. This paper introduces a Danish psychosocial cancer intervention and presents the baseline characteristics of the cancer survivors with respect to cancer site, sociodemographic variables, social network, lifestyle, self-rated health and the prevalence of cancer-related late effects. The study is part of the FOCARE research project, in which the long-term effects of the rehabilitation programme are evaluated systematically. The study is based on data from a self-administered baseline questionnaire filled in by 2 174 cancer survivors who registered for a 1-week, publicly paid rehabilitation retreat and were invited to participate in the FOCARE study in the period 25 November 2002 to 31 December 2005. The response rate at baseline was 86% (n = 1876). Most participants were younger women with breast cancer. They were generally well educated and working. The cancer survivors reported having comprehensive social networks and being physically active. Several cancer-related symptoms were reported by women with cancers at selected sites, of which fatigue was the most prevalent. More than half reported good-to-excellent self-rated health, while fair-to-poor health was reported by 40%, most of whom were survivors of lung (56%) and haematological (48%) cancers. The results indicate that Danish cancer survivors experience considerably reduced physical health, possibly as late physical effects of treatment. The problems reported by the cancer survivors suggest that cancer rehabilitation should include these aspects of living after cancer and take account of differences among cancer survivors with regard to cancer site, sex, age, family, working status and social position. These challenges might be addressed optimally in multi-dimensional rehabilitation programmes.

  9. The Breast Cancer and the Environment Research Centers: Transdisciplinary Research on the Role of the Environment in Breast Cancer Etiology

    PubMed Central

    Hiatt, Robert A.; Haslam, Sandra Z.; Osuch, Janet

    2009-01-01

    Objectives We introduce and describe the Breast Cancer and the Environment Research Centers (BCERC), a research network with a transdisciplinary approach to elucidating the role of environmental factors in pubertal development as a window on breast cancer etiology. We describe the organization of four national centers integrated into the BCERC network. Data sources Investigators use a common conceptual framework based on multiple levels of biologic, behavioral, and social organization across the life span. The approach connects basic biologic studies with rodent models and tissue culture systems, a coordinated multicenter epidemiologic cohort study of prepubertal girls, and the integration of community members of breast cancer advocates as key members of the research team to comprise the network. Data extraction Relevant literature is reviewed that describes current knowledge across levels of organization. Individual research questions and hypotheses in BCERC are driven by gaps in our knowledge that are presented at genetic, metabolic, cellular, individual, and environmental (physical and social) levels. Data synthesis As data collection on the cohort, animal experiments, and analyses proceed, results will be synthesized through a transdisciplinary approach. Conclusion Center investigators are addressing a large number of specific research questions related to early pubertal onset, which is an established risk factor for breast cancer. BCERC research findings aimed at the primary prevention of breast cancer will be disseminated to the scientific community and to the public by breast cancer advocates, who have been integral members of the research process from its inception. PMID:20049199

  10. Research Priorities in Networking and Communications.

    ERIC Educational Resources Information Center

    National Science Foundation, Washington, DC.

    A workshop focused on major research issues in networking and communications. This report defines the context for research priorities and initiatives and deals with issues in networking and communications. Fifteen major research priorities and four research specific initiatives were identified by participants as areas that should be pursued over…

  11. Network Science Research Laboratory (NSRL) Telemetry Warehouse

    DTIC Science & Technology

    2016-06-01

    ARL-TR-7710 ● JUNE 2016 US Army Research Laboratory Network Science Research Laboratory (NSRL) Telemetry Warehouse by Theron...longer needed. Do not return it to the originator. ARL-TR-7710 ● JUNE 2016 US Army Research Laboratory Network Science Research...Laboratory (NSRL) Telemetry Warehouse by Andrew J Toth Computational and Information Sciences Directorate, ARL and Theron Trout Stormfish

  12. BGRMI: A method for inferring gene regulatory networks from time-course gene expression data and its application in breast cancer research

    PubMed Central

    Iglesias-Martinez, Luis F.; Kolch, Walter; Santra, Tapesh

    2016-01-01

    Reconstructing gene regulatory networks (GRNs) from gene expression data is a challenging problem. Existing GRN reconstruction algorithms can be broadly divided into model-free and model–based methods. Typically, model-free methods have high accuracy but are computation intensive whereas model-based methods are fast but less accurate. We propose Bayesian Gene Regulation Model Inference (BGRMI), a model-based method for inferring GRNs from time-course gene expression data. BGRMI uses a Bayesian framework to calculate the probability of different models of GRNs and a heuristic search strategy to scan the model space efficiently. Using benchmark datasets, we show that BGRMI has higher/comparable accuracy at a fraction of the computational cost of competing algorithms. Additionally, it can incorporate prior knowledge of potential gene regulation mechanisms and TF hetero-dimerization processes in the GRN reconstruction process. We incorporated existing ChIP-seq data and known protein interactions between TFs in BGRMI as sources of prior knowledge to reconstruct transcription regulatory networks of proliferating and differentiating breast cancer (BC) cells from time-course gene expression data. The reconstructed networks revealed key driver genes of proliferation and differentiation in BC cells. Some of these genes were not previously studied in the context of BC, but may have clinical relevance in BC treatment. PMID:27876826

  13. About the Cancer Biomarkers Research Group | Division of Cancer Prevention

    Cancer.gov

    The Cancer Biomarkers Research Group promotes research to identify, develop, and validate biological markers for early cancer detection and cancer risk assessment. Activities include development and validation of promising cancer biomarkers, collaborative databases and informatics systems, and new technologies or the refinement of existing technologies. NCI DCP News Note Consortium on Imaging and Biomarkers (CIB) Created: Eight Grants Awarded to Improve Accuracy of Cancer Screening, Detection, and Diagnosis |

  14. Addressing cancer disparities via community network mobilization and intersectoral partnerships: a social network analysis.

    PubMed

    Ramanadhan, Shoba; Salhi, Carmel; Achille, Erline; Baril, Nashira; D'Entremont, Kerrie; Grullon, Milagro; Judge, Christine; Oppenheimer, Sarah; Reeves, Chrasandra; Savage, Clara; Viswanath, Kasisomayajula

    2012-01-01

    Community mobilization and collaboration among diverse partners are vital components of the effort to reduce and eliminate cancer disparities in the United States. We studied the development and impact of intersectoral connections among the members of the Massachusetts Community Network for Cancer Education, Research, and Training (MassCONECT). As one of the Community Network Program sites funded by the National Cancer Institute, this infrastructure-building initiative utilized principles of Community-based Participatory Research (CBPR) to unite community coalitions, researchers, policymakers, and other important stakeholders to address cancer disparities in three Massachusetts communities: Boston, Lawrence, and Worcester. We conducted a cross-sectional, sociometric network analysis four years after the network was formed. A total of 38 of 55 members participated in the study (69% response rate). Over four years of collaboration, the number of intersectoral connections reported by members (intersectoral out-degree) increased, as did the extent to which such connections were reported reciprocally (intersectoral reciprocity). We assessed relationships between these markers of intersectoral collaboration and three intermediate outcomes in the effort to reduce and eliminate cancer disparities: delivery of community activities, policy engagement, and grants/publications. We found a positive and statistically significant relationship between intersectoral out-degree and community activities and policy engagement (the relationship was borderline significant for grants/publications). We found a positive and statistically significant relationship between intersectoral reciprocity and community activities and grants/publications (the relationship was borderline significant for policy engagement). The study suggests that intersectoral connections may be important drivers of diverse intermediate outcomes in the effort to reduce and eliminate cancer disparities. The findings

  15. Gene-Environment Research and Cancer Epidemiology

    Cancer.gov

    The Epidemiology and Genomics Research Program supports extramural research that investigates both genetic and environmental factors that may contribute to the etiology of cancer and/or impact cancer outcomes.

  16. Basic Research and Progress against Cancer

    Cancer.gov

    An infographic about the importance of basic research for making progress against cancer. The graphic shows the research milestones that led to the development and approval of crizotinib (Xalkori®) to treat certain non-small cell lung cancers.

  17. What's New in Colorectal Cancer Research and Treatment?

    MedlinePlus

    ... Cancer Research? Colorectal Cancer About Colorectal Cancer What’s New in Colorectal Cancer Research? Research is always going ... ways to find colorectal cancer early by studying new types of screening tests and improving the ones ...

  18. 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.

  19. Network-based reading system for lung cancer screening CT

    NASA Astrophysics Data System (ADS)

    Fujino, Yuichi; Fujimura, Kaori; Nomura, Shin-ichiro; Kawashima, Harumi; Tsuchikawa, Megumu; Matsumoto, Toru; Nagao, Kei-ichi; Uruma, Takahiro; Yamamoto, Shinji; Takizawa, Hotaka; Kuroda, Chikazumi; Nakayama, Tomio

    2006-03-01

    This research aims to support chest computed tomography (CT) medical checkups to decrease the death rate by lung cancer. We have developed a remote cooperative reading system for lung cancer screening over the Internet, a secure transmission function, and a cooperative reading environment. It is called the Network-based Reading System. A telemedicine system involves many issues, such as network costs and data security if we use it over the Internet, which is an open network. In Japan, broadband access is widespread and its cost is the lowest in the world. We developed our system considering human machine interface and security. It consists of data entry terminals, a database server, a computer aided diagnosis (CAD) system, and some reading terminals. It uses a secure Digital Imaging and Communication in Medicine (DICOM) encrypting method and Public Key Infrastructure (PKI) based secure DICOM image data distribution. We carried out an experimental trial over the Japan Gigabit Network (JGN), which is the testbed for the Japanese next-generation network, and conducted verification experiments of secure screening image distribution, some kinds of data addition, and remote cooperative reading. We found that network bandwidth of about 1.5 Mbps enabled distribution of screening images and cooperative reading and that the encryption and image distribution methods we proposed were applicable to the encryption and distribution of general DICOM images via the Internet.

  20. Prediction of oncogenic interactions and cancer-related signaling networks based on network topology.

    PubMed

    Acencio, Marcio Luis; Bovolenta, Luiz Augusto; Camilo, Esther; Lemke, Ney

    2013-01-01

    Cancer has been increasingly recognized as a systems biology disease since many investigators have demonstrated that this malignant phenotype emerges from abnormal protein-protein, regulatory and metabolic interactions induced by simultaneous structural and regulatory changes in multiple genes and pathways. Therefore, the identification of oncogenic interactions and cancer-related signaling networks is crucial for better understanding cancer. As experimental techniques for determining such interactions and signaling networks are labor-intensive and time-consuming, the development of a computational approach capable to accomplish this task would be of great value. For this purpose, we present here a novel computational approach based on network topology and machine learning capable to predict oncogenic interactions and extract relevant cancer-related signaling subnetworks from an integrated network of human genes interactions (INHGI). This approach, called graph2sig, is twofold: first, it assigns oncogenic scores to all interactions in the INHGI and then these oncogenic scores are used as edge weights to extract oncogenic signaling subnetworks from INHGI. Regarding the prediction of oncogenic interactions, we showed that graph2sig is able to recover 89% of known oncogenic interactions with a precision of 77%. Moreover, the interactions that received high oncogenic scores are enriched in genes for which mutations have been causally implicated in cancer. We also demonstrated that graph2sig is potentially useful in extracting oncogenic signaling subnetworks: more than 80% of constructed subnetworks contain more than 50% of original interactions in their corresponding oncogenic linear pathways present in the KEGG PATHWAY database. In addition, the potential oncogenic signaling subnetworks discovered by graph2sig are supported by experimental evidence. Taken together, these results suggest that graph2sig can be a useful tool for investigators involved in cancer research

  1. Prostate Cancer Pathology Resource Network

    DTIC Science & Technology

    2015-12-01

    Diamond 5d. PROJECT NUMBER Professor, Departments of Urology, Oncology, Epidemiology, and Environmental Health Sciences 5e. TASK NUMBER E-Mail...In addition to providing specimens the PCBN provides technical advice to researchers and performs independent biospecimen science research. The...creation of a website to facilitate access and specimen requests, high impact publications citing use of PCBN specimens, biospecimen science describing

  2. Big Data-Led Cancer Research, Application, and Insights.

    PubMed

    Brown, James A L; Ni Chonghaile, Triona; Matchett, Kyle B; Lynam-Lennon, Niamh; Kiely, Patrick A

    2016-11-01

    Insights distilled from integrating multiple big-data or "omic" datasets have revealed functional hierarchies of molecular networks driving tumorigenesis and modifiers of treatment response. Identifying these novel key regulatory and dysregulated elements is now informing personalized medicine. Crucially, although there are many advantages to this approach, there are several key considerations to address. Here, we examine how this big data-led approach is impacting many diverse areas of cancer research, through review of the key presentations given at the Irish Association for Cancer Research Meeting and importantly how the results may be applied to positively affect patient outcomes. Cancer Res; 76(21); 6167-70. ©2016 AACR.

  3. Prostate Cancer Research Training Program

    DTIC Science & Technology

    2013-05-01

    protein expression (e.g., G-coupled protein receptors) that is amplified in specific cancer cell lines and developing peptide- and RNA- aptamer - based...neuropeptide Y subtype 2 receptors (Y2). In a second example of Schultz laboratory research, an ribonucleic acid (RNA) compound (known as an aptamer ...radiolabel the aptamer for imaging by PET. These exciting imaging agents serve not only as high resolution probes for evaluating the location and extent

  4. Prostate Cancer Research Training Program

    DTIC Science & Technology

    2011-05-01

    this laboratory concentrates on the area of tumor immunology with an emphasis on immunotherapy. We have constructed microbial vaccines to be used...to the transgene product induced by the vaccine are underway. Additionally, we are carrying our "translational" research in the form of clinical...trials of our adenovirus vaccine in men with prostate cancer. Important in these trials is the safety of the vaccine and its ability to induce anti

  5. Prostate Cancer Research Training Program

    DTIC Science & Technology

    2012-05-01

    i mmunology with an emphasis on immunotherapy. We ha ve constructed microbial vaccines to be used for the investigation of gene and immunotherapy... vaccine are underway. Additionally, we are carrying our "translational" research in the fo rm of clinical trials of our adenovirus vaccine in men with...prostate cancer. Important in thes e trials is the safety of the vaccine and its ability to in duce anti-tumor immunity. We have recently completed

  6. The productivity of primary care research networks.

    PubMed Central

    Griffiths, F; Wild, A; Harvey, J; Fenton, E

    2000-01-01

    Primary care research networks are being publicly funded in the United Kingdom to promote a culture of research and development in primary care. This paper discusses the organisational form of these networks and how their productivity can be evaluated, drawing on evidence from management science. An evaluation of a research network has to take account of the complexity of the organisation, the influence of its local context, and its stage of development. Output measures, such as number of research papers, and process measures, such as number of research meetings, may contribute to an evaluation. However, as networking relies on the development of informal, trust-based relationships, the quality of interactions within a network is of paramount importance for its success. Networks can audit and reflect on their success in promoting such relationships and a more formal qualitative evaluation by an independent observer can document their success to those responsible for funding. PMID:11141879

  7. microRNA and gene networks in human laryngeal cancer

    PubMed Central

    ZHANG, FENGYU; XU, ZHIWEN; WANG, KUNHAO; SUN, LINLIN; LIU, GENGHE; HAN, BAIXU

    2015-01-01

    Genes and microRNAs (miRNAs) are considered to be key biological factors in human carcinogenesis. To date, considerable data have been obtained regarding genes and miRNAs in cancer; however, the regulatory mechanisms associated with the genes and miRNAs in cancer have yet to be fully elucidated. The aim of the present study was to use the key genes and miRNAs associated with laryngeal cancer (LC) to construct three regulatory networks (differentially expressed, LC-related and global). A network topology of the development of LC, involving 10 differentially expressed miRNAs and 55 differentially expressed genes, was obtained. These genes exhibited multiple identities, including target genes of miRNA, transcription factors (TFs) and host genes. The key regulatory interactions were determined by comparing the similarities and differences among the three networks. The nodes and pathways in LC, as well as the association between each pair of factors within the networks, such as TFs and miRNA, miRNA and target genes and miRNA and its host gene, were discussed. The mechanisms of LC involved certain key pathways featuring self-adaptation regulation and nodes without direct predecessors or successors. The findings of the present study have further elucidated the pathogenesis of LC and are likely to be beneficial for future research into LC. PMID:26668624

  8. Targeting tumor suppressor networks for cancer therapeutics.

    PubMed

    Guo, Xuning Emily; Ngo, Bryan; Modrek, Aram Sandaldjian; Lee, Wen-Hwa

    2014-01-01

    Cancer is a consequence of mutations in genes that control cell proliferation, differentiation and cellular homeostasis. These genes are classified into two categories: oncogenes and tumor suppressor genes. Together, overexpression of oncogenes and loss of tumor suppressors are the dominant driving forces for tumorigenesis. Hence, targeting oncogenes and tumor suppressors hold tremendous therapeutic potential for cancer treatment. In the last decade, the predominant cancer drug discovery strategy has relied on a traditional reductionist approach of dissecting molecular signaling pathways and designing inhibitors for the selected oncogenic targets. Remarkable therapies have been developed using this approach; however, targeting oncogenes is only part of the picture. Our understanding of the importance of tumor suppressors in preventing tumorigenesis has also advanced significantly and provides a new therapeutic window of opportunity. Given that tumor suppressors are frequently mutated, deleted, or silenced with loss-of-function, restoring their normal functions to treat cancer holds tremendous therapeutic potential. With the rapid expansion in our knowledge of cancer over the last several decades, developing effective anticancer regimens against tumor suppressor pathways has never been more promising. In this article, we will review the concept of tumor suppression, and outline the major therapeutic strategies and challenges of targeting tumor suppressor networks for cancer therapeutics.

  9. Social Networks Across Common Cancer Types: The Evidence, Gaps, and Areas of Potential Impact.

    PubMed

    Rice, L J; Halbert, C H

    2017-01-01

    Although the association between social context and health has been demonstrated previously, much less is known about network interactions by gender, race/ethnicity, and sociodemographic characteristics. Given the variability in cancer outcomes among groups, research on these relationships may have important implications for addressing cancer health disparities. We examined the literature on social networks and cancer across the cancer continuum among adults. Relevant studies (N=16) were identified using two common databases: PubMed and Google Scholar. Most studies used a prospective cohort study design (n=9), included women only (n=11), and were located in the United States (n=14). Seventy-five percent of the studies reviewed used a validated scale or validated items to measure social networks (n=12). Only one study examined social network differences by race, 57.1% (n=8) focused on breast cancer alone, 14.3% (n=2) explored colorectal cancer or multiple cancers simultaneously, and 7.1% (n=1) only prostate cancer. More than half of the studies included multiple ethnicities in the sample, while one study included only low-income subjects. Despite findings of associations between social networks and cancer survival, risk, and screening, none of the studies utilized social networks as a mechanism for reducing health disparities; however, such an approach has been utilized for infectious disease control. Social networks and the support provided within these networks have important implications for health behaviors and ultimately cancer disparities. This review serves as the first step toward dialog on social networks as a missing component in the social determinants of cancer disparities literature that could move the needle upstream to target adverse cancer outcomes among vulnerable populations.

  10. 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).

  11. The cancer translational research informatics platform

    PubMed Central

    McConnell, Patrick; Dash, Rajesh C; Chilukuri, Ram; Pietrobon, Ricardo; Johnson, Kimberly; Annechiarico, Robert; Cuticchia, A Jamie

    2008-01-01

    Background Despite the pressing need for the creation of applications that facilitate the aggregation of clinical and molecular data, most current applications are proprietary and lack the necessary compliance with standards that would allow for cross-institutional data exchange. In line with its mission of accelerating research discoveries and improving patient outcomes by linking networks of researchers, physicians, and patients focused on cancer research, caBIG (cancer Biomedical Informatics Grid™) has sponsored the creation of the caTRIP (Cancer Translational Research Informatics Platform) tool, with the purpose of aggregating clinical and molecular data in a repository that is user-friendly, easily accessible, as well as compliant with regulatory requirements of privacy and security. Results caTRIP has been developed as an N-tier architecture, with three primary tiers: domain services, the distributed query engine, and the graphical user interface, primarily making use of the caGrid infrastructure to ensure compatibility with other tools currently developed by caBIG. The application interface was designed so that users can construct queries using either the Simple Interface via drop-down menus or the Advanced Interface for more sophisticated searching strategies to using drag-and-drop. Furthermore, the application addresses the security concerns of authentication, authorization, and delegation, as well as an automated honest broker service for deidentifying data. Conclusion Currently being deployed at Duke University and a few other centers, we expect that caTRIP will make a significant contribution to further the development of translational research through the facilitation of its data exchange and storage processes. PMID:19108734

  12. Comprehensive Oncologic Emergencies Research Network (CONCERN)

    Cancer.gov

    The Comprehensive Oncologic Emergencies Research Network (CONCERN) was established in March 2015 with the goal to accelerate knowledge generation, synthesis and translation of oncologic emergency medicine research through multi-center collaborations.

  13. LTAR Linkages with Other Research Networks: Capitalizing on Network Interconnections

    NASA Astrophysics Data System (ADS)

    Havstad, K.

    2015-12-01

    The USDA ARS Research Unit based at the Jornada Experimental Range outside of Las Cruces, NM, is a member of the USDA's Long Term Agro-ecosystem Research (LTAR) Network, the National Science Foundation's Long Term Ecological Research (LTER) Network, the National Ecological Observation Network (NEON), and the USDA's Climate Hub Network. Each of these networks has distinct functions, missions, operational characteristics, and distinct scientific and management sub-cultures (though some are fairly new and developing). Some are a fairly independent collection of research sites functioning as a network in name only, and others are truly working to develop a research synergy that could be holistic and uniquely productive. All have real scientific value, and collectively represent an investment in US research infrastructure in biology and agriculture in excess of $3B. To effectively utilize and exploit this unique research infrastructure will require a concerted effort to meld attributes of each to the benefits of their common stakeholders. Real opportunities exist to collectively utilize this infrastructure to address grand research challenges.

  14. A Review of Barriers to Minorities' Participation in Cancer Clinical Trials: Implications for Future Cancer Research.

    PubMed

    Salman, Ali; Nguyen, Claire; Lee, Yi-Hui; Cooksey-James, Tawna

    2016-04-01

    To enhance nurses' awareness and competencies in practice and research by reporting the common barriers to participation of minorities in cancer clinical trials and discussing facilitators and useful strategies for recruitment. Several databases were searched for articles published in peer reviewed journals. Some of the barriers to minorities' participation in clinical trials were identified within the cultural social-context of cancer patients. The involvement of community networking was suggested as the most effective strategy for the recruitment of minorities in cancer clinical trials. Using culturally sensitive approaches to enhance ethnic minorities' participation is important for advancing cancer care and eliminating health disparities. Awareness of barriers and potential facilitators to the enrollment of ethnic minority cancer patients may contribute to enhancing nurses' competencies of recruiting ethnic minorities in nursing research, playing efficient roles in cancer clinical trials team, and providing culturally competent quality care.

  15. Prostate Cancer Pathology Resource Network

    DTIC Science & Technology

    2012-07-01

    REPORT DATE: TYPE OF REPORT: Annual PREPARED FOR: U.S. Army Medical Research and Materiel Command...DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD-MM-YYYY) 2. REPORT TYPE 3. DATES COVERED (From - To) 4. TITLE AND SUBTITLE 5a...utilization of biorepository specimens, to include the number of requests received, approved, or rejected, and the types of specimens distributed

  16. Basic Research and Progress against Pediatric Cancer

    Cancer.gov

    An infographic about the importance of basic research for making progress against childhood cancers. Shows the milestones that led to development and approval of dinutuximab (Unituxin®) to treat neuroblastoma, a cancer seen mainly in children.

  17. Skin Cancer: NIH Research to Results

    MedlinePlus

    ... of this page please turn Javascript on. Feature: Skin Cancer NIH Research to Results Past Issues / Summer 2013 ... making a person immune to his or her skin cancer cells. Another method is to train a person's ...

  18. Collaborative knowledge in catchment research networks

    NASA Astrophysics Data System (ADS)

    Macleod, Christopher Kit

    2015-04-01

    There is a need to improve the production, sharing and use of collaborative knowledge of catchment systems through networks of researchers, policy makers and practitioners. This requires greater levels of systems based integrative research. In parallel to the growing realization that greater levels of collaborative knowledge in scientific research networks are required, a digital revolution has been taking place. This has been driven primarily by the emergence of distributed networks of computers and standards-based interoperability. The objective of this paper is to present the status and research needs for greater levels of systems based integrative research for the production, sharing and use of collaborative knowledge in catchment research networks. To enable increased levels of integrative research depends on development and application of digital technologies to improve collection, use and sharing of data and devise new knowledge infrastructures. This paper focuses on the requirements for catchment observatories that integrate existing and novel physical, social and digital networks of knowledge infrastructures. To support this focus, I present three leading international examples of collaborative networks of catchment researchers and their development of catchment observatories. In particular, the digital infrastructures they have developed to support collaborative knowledge in catchment research networks. These examples are from North America (NSF funded CUAHSI HIS) and from Europe (UK NERC funded EVOp and the German Helmholtz Association Centers funded TERENO/TEODOOR). These exemplars all supported advancing collaborative knowledge in catchment research networks through the development of catchment observatories. I will conclude by discussing the future research directions required for greater levels of production, sharing and use of collaborative knowledge in catchment research networks based on catchment systems science.

  19. Transcriptional Network Architecture of Breast Cancer Molecular Subtypes.

    PubMed

    de Anda-Jáuregui, Guillermo; Velázquez-Caldelas, Tadeo E; Espinal-Enríquez, Jesús; Hernández-Lemus, Enrique

    2016-01-01

    Breast cancer heterogeneity is evident at the clinical, histological and molecular level. High throughput technologies allowed the identification of intrinsic subtypes that capture transcriptional differences among tumors. A remaining question is whether said differences are associated to a particular transcriptional program which involves different connections between the same molecules. In other words, whether particular transcriptional network architectures can be linked to specific phenotypes. In this work we infer, construct and analyze transcriptional networks from whole-genome gene expression microarrays, by using an information theory approach. We use 493 samples of primary breast cancer tissue classified in four molecular subtypes: Luminal A, Luminal B, Basal and HER2-enriched. For comparison, a network for non-tumoral mammary tissue (61 samples) is also inferred and analyzed. Transcriptional networks present particular architectures in each breast cancer subtype as well as in the non-tumor breast tissue. We find substantial differences between the non-tumor network and those networks inferred from cancer samples, in both structure and gene composition. More importantly, we find specific network architectural features associated to each breast cancer subtype. Based on breast cancer networks' centrality, we identify genes previously associated to the disease, either, generally (i.e., CNR2) or to a particular subtype (such as LCK). Similarly, we identify LUZP4, a gene barely explored in breast cancer, playing a role in transcriptional networks with subtype-specific relevance. With this approach we observe architectural differences between cancer and non-cancer at network level, as well as differences between cancer subtype networks which might be associated with breast cancer heterogeneity. The centrality measures of these networks allow us to identify genes with potential biomedical implications to breast cancer.

  20. Transcriptional Network Architecture of Breast Cancer Molecular Subtypes

    PubMed Central

    de Anda-Jáuregui, Guillermo; Velázquez-Caldelas, Tadeo E.; Espinal-Enríquez, Jesús; Hernández-Lemus, Enrique

    2016-01-01

    Breast cancer heterogeneity is evident at the clinical, histological and molecular level. High throughput technologies allowed the identification of intrinsic subtypes that capture transcriptional differences among tumors. A remaining question is whether said differences are associated to a particular transcriptional program which involves different connections between the same molecules. In other words, whether particular transcriptional network architectures can be linked to specific phenotypes. In this work we infer, construct and analyze transcriptional networks from whole-genome gene expression microarrays, by using an information theory approach. We use 493 samples of primary breast cancer tissue classified in four molecular subtypes: Luminal A, Luminal B, Basal and HER2-enriched. For comparison, a network for non-tumoral mammary tissue (61 samples) is also inferred and analyzed. Transcriptional networks present particular architectures in each breast cancer subtype as well as in the non-tumor breast tissue. We find substantial differences between the non-tumor network and those networks inferred from cancer samples, in both structure and gene composition. More importantly, we find specific network architectural features associated to each breast cancer subtype. Based on breast cancer networks' centrality, we identify genes previously associated to the disease, either, generally (i.e., CNR2) or to a particular subtype (such as LCK). Similarly, we identify LUZP4, a gene barely explored in breast cancer, playing a role in transcriptional networks with subtype-specific relevance. With this approach we observe architectural differences between cancer and non-cancer at network level, as well as differences between cancer subtype networks which might be associated with breast cancer heterogeneity. The centrality measures of these networks allow us to identify genes with potential biomedical implications to breast cancer. PMID:27920729

  1. Network science and oral health research.

    PubMed

    Maupome, Gerardo; McCranie, Ann

    2015-01-01

    The present overview of research methods describes a scientific enquiry paradigm that is well established in other disciplines, including health research, but that is fairly new to oral health research. Social networks analysis (SNA) or network science research is a set of relational methods purporting to identify and characterize the connections between members of a system or network, as well as the structure of the network. Persons and communities making up the members of networks have commonly been the focus of SNA studies but corporations or living organisms might just as well be organized in networks. SNA is grounded in both graphic imagery and computational models. SNA is based on the assumptions that features and structure of networks are amenable to characterization, that such information sheds light on the ways members of the network relate to each other (sharing information, diseases, norms, and so on), and that through these connections between members the overall network structure and characteristics are shaped. The overview resorts to examples specific to oral health themes and proposes a few general avenues for population-based research.

  2. Collaborations in Proteomics Research - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute (NCI), through the Office of Cancer Clinical Proteomics Research (OCCPR), has signed two Memorandums of Understanding (MOUs) in the sharing of proteomics reagents and protocols

  3. Transcription Factor Networks as Targets for Therapeutic Intervention of Cancer: The Breast Cancer Paradigm

    PubMed Central

    Karamouzis, Michalis V; Papavassiliou, Athanasios G

    2011-01-01

    It has long been shown that many of the presently used anticancer drugs exert their effects partly through modulating the activity of vital transcription factors. The intricacy of transcriptional regulation still represents the main obstacle for the design of transcription factor–directed agents. Systematic mapping of tumor-specific transcriptional networks and application of new molecular tools have reinforced research interest and efforts in this venue. The case of breast cancer is discussed as a representative example. PMID:21912809

  4. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Epithelial cell monoculture: Long-term growth of human mammary epithelial cells (HMEC) grown in monoculture as 3-dimensional constructions in the presence of attachment beads in the NASA Bioreactor. A: A typical construct about 3.5 mm (less than 1/8th inch) in diameter with slightly dehydrted, crinkled beads contained on the surface as well as within the 3-dimensional structure. B: The center of these constructs is hollow. Crinkling of the beads causes a few to fall out, leaving crater-like impressiions in the construct. The central impression shows a small hole that accesses the hollow center of the construct. C: A closeup view of the cells and the hole the central impression. D: Closer views of cells in the construct showing sell-to-cell interactions. 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. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

    Epithelial and fibroblast cell coculture: Long-term growth human mammary epithelial cells (HMEC) admixed in coculture with fibroblast from the same initial breast tissue grown as 3-dimenstional constructions in the presence of attachment beads in the NASA Bioreactor. A: A typical constrct about 2.0 mm in diameter without beads on the surface. The center of these constrcts is hollow, and beads are organized about the irner surface. Although the coculture provides smaller constructs than the monoculture, the metabolic of the organized cells is about the same. B, C, D: Closer views of cells showing that the shape of cells and cell-to-cell interactions apprear different in the coculture than in the monoculture constructs. 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).

  6. What's New in Pancreatic Cancer Research and Treatment?

    MedlinePlus

    ... Cancer Research? Pancreatic Cancer About Pancreatic Cancer What’s New in Pancreatic Cancer Research? Research into the causes , ... KRAS oncogene, which affects regulation of cell growth. New diagnostic tests are often able to recognize this ...

  7. What's New in Thyroid Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Thyroid Cancer About Thyroid Cancer What’s New in Thyroid Cancer Research and Treatment? Important research ... RAI) therapy. Doctors and researchers are looking for new ways to treat thyroid cancer that are more ...

  8. Using Social Network Analysis to Evaluate Community Capacity Building of a Regional Community Cancer Network

    ERIC Educational Resources Information Center

    Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

    2010-01-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute's (NCI's) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to…

  9. Redes En Acción. Increasing Hispanic participation in cancer research, training, and awareness.

    PubMed

    Ramirez, Amelie G; Talavera, Gregory A; Marti, Jose; Penedo, Frank J; Medrano, Martha A; Giachello, Aida L; Pérez-Stable, Eliseo J

    2006-10-15

    Hispanics are affected by many health care disparities. The National Cancer Institute (NCI), through its Special Populations Branch, is supporting networking and capacity-building activities designed to increase Hispanic participation and leadership in cancer research. Redes En Acción established a national network of cancer research centers, community-based organizations, and federal partners to facilitate opportunities for junior Hispanic scientists to participate in training and research projects on cancer control. Since 2000, Redes En Acción has established a network of more than 1800 Hispanic leaders involved in cancer research and education. The project has sustained 131 training positions and submitted 29 pilot projects to NCI for review, with 16 awards for a total of $800,000, plus an additional $8.8 million in competing grant funding based on pilot study results to date. Independent research has leveraged an additional $32 million in non-Redes funding, and together the national and regional network sites have participated in more than 1400 community and professional awareness events. In addition, the program conducted extensive national survey research that provided the basis for the Redes En Acción Latino Cancer Report, a national agenda on Hispanic cancer issues. Redes En Acción has increased participation in cancer control research, training, and awareness among Hispanic scientists and within Hispanic communities. Cancer 2006. (c) 2006 American Cancer Society.

  10. Research and Development Trends of Car Networking

    NASA Astrophysics Data System (ADS)

    He, Wei; Li, Zhixiong; Xie, Guotao

    With the rapid development of the world economy, road transport has become increasingly busy. An unexpected incident would cause serious traffic disaster due to traffic accidents. To solve this problem, the intelligent transportation system (ITS), which is important for the health developments of the city transportation, has become a hot topic. The car networking provides a new way for intelligent transportation system. It can ensure intelligent control and monitoring of urban road with high performance. This paper described the concept of car networking and related technology both in oversea and domestic. The importance of car networking to achieve vehicle and details of the car networking related technologies were illustrated firstly. Then, attentions focus on the research nodus of the car networking. Lastly, the development trend of car networking research was discussed.

  11. Review of metabolic pathways activated in cancer cells as determined through isotopic labeling and network analysis.

    PubMed

    Dong, Wentao; Keibler, Mark A; Stephanopoulos, Gregory

    2017-02-10

    Cancer metabolism has emerged as an indispensable part of contemporary cancer research. During the past 10 years, the use of stable isotopic tracers and network analysis have unveiled a number of metabolic pathways activated in cancer cells. Here, we review such pathways along with the particular tracers and labeling observations that led to the discovery of their rewiring in cancer cells. The list of such pathways comprises the reductive metabolism of glutamine, altered glycolysis, serine and glycine metabolism, mutant isocitrate dehydrogenase (IDH) induced reprogramming and the onset of acetate metabolism. Additionally, we demonstrate the critical role of isotopic labeling and network analysis in identifying these pathways. The alterations described in this review do not constitute a complete list, and future research using these powerful tools is likely to discover other cancer-related pathways and new metabolic targets for cancer therapy.

  12. Research Networks, Mentorship and Sustainability Knowledge

    NASA Astrophysics Data System (ADS)

    Kafle, A.; Mukhopadhyay, P.; Nepal, M.; Shyamsundar, P.

    2015-12-01

    In South Asia, a majority of institutions are ill-equipped to undertake research on multi-disciplinary environmental problems, though these problems are increasing at a fast rate and connected to the region's poverty and growth objectives. In this context, the South Asian Network for Development and Environmental Economics (SANDEE) tries to fill a research, training and knowledge gap by building skills in the area of Environment and Development Economics. In this paper, the authors argue that research networks contribute to the growth of sustainability knowledge through (a) knowledge creation, (b) knowledge transfer and (c) knowledge deepening. The paper tries to show the relationship between capacity building, mentorship and research scholarship. It demonstrates that researchers, by associating with the network and its multiple training and mentoring processes, are able to build skills, change curricula and deliver useful knowledge products. The paper discusses the need for interdisciplinary research and the challenges of bridging the gap between research outputs and policy reforms.

  13. Teacher Appraisal Research Networks 1980-2000.

    ERIC Educational Resources Information Center

    Gunter, Helen M.

    2001-01-01

    Legislation requiring site-based performance management in British schools gave rise to the development of practitioner research networks, in which instrumental performance appraisal has predominated over humanist and critical approaches. Even marginalized networks have involved important collaborations among teachers, higher education…

  14. Lysyl oxidase in cancer research.

    PubMed

    Perryman, Lara; Erler, Janine T

    2014-01-01

    Metastasis is the main reason for cancer-associated deaths and therapies are desperately needed to target the progression of cancer. Lysyl oxidase (LOX) plays a pivotal role in cancer progression, including metastasis, and is therefore is an attractive therapeutic target. In this review we will breakdown the process of cancer progression and the various roles that LOX plays has in the advancement of cancer. We will highlight why LOX is an exciting therapeutic target for the future.

  15. The Nordic Health Promotion Research Network (NHPRN).

    PubMed

    Ringsberg, Karin C

    2015-08-01

    The Nordic Health Promotion Research Network (NHPRN) was established in 2007 at the Nordic School of Public Health (NHV). This article aims to describe the foundation of the NHPRN, the development and the present status of the work of NHPRN. The NHPRN consists of about 50 senior and junior researchers from all Nordic countries. It is a working network that aims to develop the theoretical understanding of health promotion, to create research cooperation in health promotion from a Nordic perspective and to extend the scope of health promotion through education. Network members meet biannually to discuss and further develop research within the field and are also responsible for the Nordic conference on Health Promotion, organized every 3 years. The NHV hosted the network between 2007 and 2014; and the World Health Organisation (WHO) will assume this role in 2015.

  16. Advances in neural networks research: an introduction.

    PubMed

    Kozma, Robert; Bressler, Steven; Perlovsky, Leonid; Venayagamoorthy, Ganesh Kumar

    2009-01-01

    The present Special Issue "Advances in Neural Networks Research: IJCNN2009" provides a state-of-art overview of the field of neural networks. It includes 39 papers from selected areas of the 2009 International Joint Conference on Neural Networks (IJCNN2009). IJCNN2009 took place on June 14-19, 2009 in Atlanta, Georgia, USA, and it represents an exemplary collaboration between the International Neural Networks Society and the IEEE Computational Intelligence Society. Topics in this issue include neuroscience and cognitive science, computational intelligence and machine learning, hybrid techniques, nonlinear dynamics and chaos, various soft computing technologies, intelligent signal processing and pattern recognition, bioinformatics and biomedicine, and engineering applications.

  17. Collaborating to Move Research Forward: Proceedings of the 10th Annual Bladder Cancer Think Tank

    PubMed Central

    Kamat, Ashish M.; Agarwal, Piyush; Bivalacqua, Trinity; Chisolm, Stephanie; Daneshmand, Sia; Doroshow, James H.; Efstathiou, Jason A.; Galsky, Matthew; Iyer, Gopa; Kassouf, Wassim; Shah, Jay; Taylor, John; Williams, Stephen B.; Quale, Diane Zipursky; Rosenberg, Jonathan E.

    2016-01-01

    The 10th Annual Bladder Cancer Think Tank was hosted by the Bladder Cancer Advocacy Network and brought together a multidisciplinary group of clinicians, researchers, representatives and Industry to advance bladder cancer research efforts. Think Tank expert panels, group discussions, and networking opportunities helped generate ideas and strengthen collaborations between researchers and physicians across disciplines and between institutions. Interactive panel discussions addressed a variety of timely issues: 1) data sharing, privacy and social media; 2) improving patient navigation through therapy; 3) promising developments in immunotherapy; 4) and moving bladder cancer research from bench to bedside. Lastly, early career researchers presented their bladder cancer studies and had opportunities to network with leading experts. PMID:27376139

  18. Controllability in cancer metabolic networks according to drug targets as driver nodes.

    PubMed

    Asgari, Yazdan; Salehzadeh-Yazdi, Ali; Schreiber, Falk; Masoudi-Nejad, Ali

    2013-01-01

    Networks are employed to represent many nonlinear complex systems in the real world. The topological aspects and relationships between the structure and function of biological networks have been widely studied in the past few decades. However dynamic and control features of complex networks have not been widely researched, in comparison to topological network features. In this study, we explore the relationship between network controllability, topological parameters, and network medicine (metabolic drug targets). Considering the assumption that targets of approved anticancer metabolic drugs are driver nodes (which control cancer metabolic networks), we have applied topological analysis to genome-scale metabolic models of 15 normal and corresponding cancer cell types. The results show that besides primary network parameters, more complex network metrics such as motifs and clusters may also be appropriate for controlling the systems providing the controllability relationship between topological parameters and drug targets. Consequently, this study reveals the possibilities of following a set of driver nodes in network clusters instead of considering them individually according to their centralities. This outcome suggests considering distributed control systems instead of nodal control for cancer metabolic networks, leading to a new strategy in the field of network medicine.

  19. Nutrition and Cancer Prevention Research Practicum | Division of Cancer Prevention

    Cancer.gov

    The Nutritional Science Research Group in the Division of Cancer Prevention at the National Cancer Institute, National Institutes of Health and the Department of Nutrition at the Clinical Center, National Institutes of Health are offering a one week educational opportunity in "Nutrition and Cancer Prevention Research" for individuals with a sustained commitment to nutrition and health promotion. This one-week intense learning session provides specialized instruction in the role of diet and bioactive food components as modifiers of cancer incidence and tumor behavior. |

  20. What's New in Nasopharyngeal Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Nasopharyngeal Cancer About Nasopharyngeal Cancer What's New in Nasopharyngeal Cancer Research and Treatment? Research into ... the world where this cancer is common. Treatment New surgical techniques Advances in the field of skull ...

  1. What's New in Anal Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Anal Cancer About Anal Cancer What’s New in Anal Cancer Research and Treatment? Important research ... cancer cells is expected to help scientists develop new drugs to fight this disease. Early detection Ongoing ...

  2. What's New in Testicular Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Testicular Cancer About Testicular Cancer What’s New in Testicular Cancer Research and Treatment? Important research ... findings may help individualize treatment and help find new drugs to treat testicular cancer that can target ...

  3. What's New in Research and Treatment for Thymus Cancer?

    MedlinePlus

    ... Thymus Cancer? Thymus Cancer About Thymus Cancer What’s New in Research and Treatment for Thymus Cancer? There ... treating thymomas is still being explored. In addition, new treatments are being developed and tested. Researchers are ...

  4. Enhancing cancer control programmatic and research opportunities for African-Americans through technical assistance training.

    PubMed

    Satcher, David; Sullivan, Louis W; Douglas, Harry E; Mason, Terry; Phillips, Rogsbert F; Sheats, Joyce Q; Smith, Selina A

    2006-10-15

    African-Americans remain severely underrepresented in cancer control program delivery and research. Community-based organizational leaders and minority junior investigators have received little attention as representatives of target populations, or as agents to deliver and evaluate efforts to eliminate cancer health disparities. This paper describes activities of the National Black Leadership Initiative on Cancer II: Network Project, which has sought to address these issues. Community leaders and junior investigators received technical assistance (TA) and mentoring to develop applications for cancer education and community-based participatory research (CBPR) projects. TA was provided to 35 community leaders and 32 junior investigators. Twenty-nine community leaders won funding through the Community Partners for Cancer Education Program. Three pilot research applications were funded. Technical assistance may improve minority recruitment/retention in CBPR cancer control research and enhance understanding and elimination of cancer health disparities among African-Americans. Cancer 2006. (c) American Cancer Society.

  5. Research and comprehensive cancer control coalitions.

    PubMed

    Vinson, Cynthia; La Porta, Madeline; Todd, William; Palafox, Neal A; Wilson, Katherine M; Fairley, Temeika

    2010-12-01

    The goal of cancer control research is "to generate basic knowledge about how to monitor and change individual and collective behavior and to ensure that knowledge is translated into practice and policy rapidly, effectively, and efficiently" (Division of Cancer Control and Population Sciences in Cancer control framework and synthese rationale, 2010). Research activities span the cancer control continuum from prevention to early detection and diagnosis through treatment and survivorship (Division of Cancer Control and Population Sciences in Cancer control framework and synthese rationale, 2010). While significant advancements have been made in understanding, preventing and treating cancer in the past few decades, these benefits have yielded disproportionate results in cancer morbidity and mortality across various socioeconomic and racial/ethnic subgroups (Ozols et al in J Clin Oncol, 25(1):146-1622, 2007). It has been a high priority since the beginning of the Comprehensive Cancer Control (CCC) movement to utilize research in the development and implementation of cancer plans in the states, tribes and tribal organizations, territories and US Pacific Island Jurisdictions. Nevertheless, dissemination and implementation of research in coalition activities has been challenging for many programs. Lessons learned from programs and coalitions in the implementation and evaluation of CCC activities, as well as resources provided by national partners, can assist coalitions with the translation of research into practice.

  6. Research into Queueing Network Theory.

    DTIC Science & Technology

    1977-09-01

    aspects. Kleinrock [33] comments on this result, for example. In 1976, Burke [6] provided the first proof of some of what was occurring in the flow...server first passes through other servers (as for example in Jackson networks with loops) that item is delayed on its return. All current knowledge about...system simplification. A simplification is an operation on the system such that a new system is obtained subject to two requirements. First , the

  7. Genomic Datasets for Cancer Research

    Cancer.gov

    A variety of datasets from genome-wide association studies of cancer and other genotype-phenotype studies, including sequencing and molecular diagnostic assays, are available to approved investigators through the Extramural National Cancer Institute Data Access Committee.

  8. Creatiing a Collaborative Research Network for Scientists

    NASA Astrophysics Data System (ADS)

    Gunn, W.

    2012-12-01

    This abstract proposes a discussion of how professional science communication and scientific cooperation can become more efficient through the use of modern social network technology, using the example of Mendeley. Mendeley is a research workflow and collaboration tool which crowdsources real-time research trend information and semantic annotations of research papers in a central data store, thereby creating a "social research network" that is emergent from the research data added to the platform. We describe how Mendeley's model can overcome barriers for collaboration by turning research papers into social objects, making academic data publicly available via an open API, and promoting more efficient collaboration. Central to the success of Mendeley has been the creation of a tool that works for the researcher without the requirement of being part of an explicit social network. Mendeley automatically extracts metadata from research papers, and allows a researcher to annotate, tag and organize their research collection. The tool integrates with the paper writing workflow and provides advanced collaboration options, thus significantly improving researchers' productivity. By anonymously aggregating usage data, Mendeley enables the emergence of social metrics and real-time usage stats on top of the articles' abstract metadata. In this way a social network of collaborators, and people genuinely interested in content, emerges. By building this research network around the article as the social object, a social layer of direct relevance to academia emerges. As science, particularly Earth sciences with their large shared resources, become more and more global, the management and coordination of research is more and more dependent on technology to support these distributed collaborations.

  9. A proposed international watershed research network

    USGS Publications Warehouse

    Osterkamp, W.R.; Gray, J.R.

    2003-01-01

    An “International Watershed Research Network” is to be an initial project of the Sino-U. S. Centers for Soil and Water Conservation and Environmental Protection. The Network will provide a fundamental database for research personnel of the Centers, as well as of the global research community, and is viewed as an important resource for their successful operation. Efforts are under way to (a) identify and select candidate watersheds, (b) develop standards and protocols for data collection and dissemination, and (c) specify other data sources on erosion, sediment transport, hydrology, and ancillary information of probable interest and use to participants of the Centers. The initial focus of the Network will be on water-deficient areas. Candidate watersheds for the Network are yet to be determined although likely selections include the Ansai Research Station, northern China, and the Walnut Gulch Experimental Watershed, Arizona, USA. The Network is to be patterned after the Vigil Network, an open-ended group of global sites and small drainage basins for which Internet-accessible geomorphic, hydrologic, and biological data are periodically collected or updated. Some types of data, using similar instruments and observation methods, will be collected at all watersheds selected for the Network. Other data from the watersheds that may reflect individual watershed characteristics and research objectives will be collected as well.

  10. Proteogenomic convergence for understanding cancer pathways and networks

    PubMed Central

    2014-01-01

    During the past several decades, the understanding of cancer at the molecular level has been primarily focused on mechanisms on how signaling molecules transform homeostatically balanced cells into malignant ones within an individual pathway. However, it is becoming more apparent that pathways are dynamic and crosstalk at different control points of the signaling cascades, making the traditional linear signaling models inadequate to interpret complex biological systems. Recent technological advances in high throughput, deep sequencing for the human genomes and proteomic technologies to comprehensively characterize the human proteomes in conjunction with multiplexed targeted proteomic assays to measure panels of proteins involved in biologically relevant pathways have made significant progress in understanding cancer at the molecular level. It is undeniable that proteomic profiling of differentially expressed proteins under many perturbation conditions, or between normal and “diseased” states is important to capture a first glance at the overall proteomic landscape, which has been a main focus of proteomics research during the past 15-20 years. However, the research community is gradually shifting its heavy focus from that initial discovery step to protein target verification using multiplexed quantitative proteomic assays, capable of measuring changes in proteins and their interacting partners, isoforms, and post-translational modifications (PTMs) in response to stimuli in the context of signaling pathways and protein networks. With a critical link to genotypes (i.e., high throughput genomics and transcriptomics data), new and complementary information can be gleaned from multi-dimensional omics data to (1) assess the effect of genomic and transcriptomic aberrations on such complex molecular machinery in the context of cell signaling architectures associated with pathological diseases such as cancer (i.e., from genotype to proteotype to phenotype); and (2

  11. Noncoding RNAs in gastric cancer: Research progress and prospects

    PubMed Central

    Zhang, Meng; Du, Xiang

    2016-01-01

    Noncoding RNAs (ncRNAs) have attracted much attention in cancer research field. They are involved in cellular development, proliferation, differentiation and apoptosis. The dysregulation of ncRNAs has been reported in tumor initiation, progression, invasion and metastasis in various cancers, including gastric cancer (GC). In the past few years, an accumulating body of evidence has deepened our understanding of ncRNAs, and several emerging ncRNAs have been identified, such as PIWI-interacting RNAs (piRNAs) and circular RNAs (circRNAs). The competing endogenous RNA (ceRNA) networks include mRNAs, microRNAs, long ncRNAs (lncRNAs) and circRNAs, which play critical roles in the tumorigenesis of GC. This review summarizes the recent hotspots of ncRNAs involved in GC pathobiology and their potential applications in GC. Finally, we briefly discuss the advances in the ceRNA network in GC. PMID:27547004

  12. Biological and Environmental Research Network Requirements

    SciTech Connect

    Balaji, V.; Boden, Tom; Cowley, Dave; Dart, Eli; Dattoria, Vince; Desai, Narayan; Egan, Rob; Foster, Ian; Goldstone, Robin; Gregurick, Susan; Houghton, John; Izaurralde, Cesar; Johnston, Bill; Joseph, Renu; Kleese-van Dam, Kerstin; Lipton, Mary; Monga, Inder; Pritchard, Matt; Rotman, Lauren; Strand, Gary; Stuart, Cory; Tatusova, Tatiana; Tierney, Brian; Thomas, Brian; Williams, Dean N.; Zurawski, Jason

    2013-09-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

  13. Research@ARL: Network Sciences

    DTIC Science & Technology

    2013-03-01

    these entities.” Capra [34] proposes to use a human trust model based on human interactions in a trust model for fully distributed network environments...such as MANETs. Capra denes trust as the degree of a belief about the behavior of other entities (or agents). Li and Singhal [35] dene trust as the...Trust,” IEEE Intelligent Systems, vol. 19, no. 5, pp. 74-88, 2004. [34] L. Capra , “Toward a Human Trust Model for Mobile Ad-hoc Net- works,” Proc

  14. A Social Network Analysis of Treatment Discoveries in Cancer

    PubMed Central

    Tsalatsanis, Athanasios; Barnes, Laura; Hozo, Iztok; Skvoretz, John; Djulbegovic, Benjamin

    2011-01-01

    Controlled clinical trials are widely considered to be the vehicle to treatment discovery in cancer that leads to significant improvements in health outcomes including an increase in life expectancy. We have previously shown that the pattern of therapeutic discovery in randomized controlled trials (RCTs) can be described by a power law distribution. However, the mechanism generating this pattern is unknown. Here, we propose an explanation in terms of the social relations between researchers in RCTs. We use social network analysis to study the impact of interactions between RCTs on treatment success. Our dataset consists of 280 phase III RCTs conducted by the NCI from 1955 to 2006. The RCT networks are formed through trial interactions formed i) at random, ii) based on common characteristics, or iii) based on treatment success. We analyze treatment success in terms of survival hazard ratio as a function of the network structures. Our results show that the discovery process displays power law if there are preferential interactions between trials that may stem from researchers' tendency to interact selectively with established and successful peers. Furthermore, the RCT networks are “small worlds”: trials are connected through a small number of ties, yet there is much clustering among subsets of trials. We also find that treatment success (improved survival) is proportional to the network centrality measures of closeness and betweenness. Negative correlation exists between survival and the extent to which trials operate within a limited scope of information. Finally, the trials testing curative treatments in solid tumors showed the highest centrality and the most influential group was the ECOG. We conclude that the chances of discovering life-saving treatments are directly related to the richness of social interactions between researchers inherent in a preferential interaction model. PMID:21464896

  15. China’s landscape in oncology drug research: perspectives from research collaboration networks

    PubMed Central

    You, Han; Ni, Jingyun; Barber, Michael; Scherngell, Thomas

    2015-01-01

    Objective Better understanding of China’s landscape in oncology drug research is of great significance for discovering anti-cancer drugs in future. This article differs from previous studies by focusing on Chinese oncology drug research communities in co-publication networks at the institutional level. Moreover, this research aims to explore structures and behaviors of relevant research units by thematic community analysis and to address policy recommendations. Methods This research used social network analysis to define an institutions network and to identify a community network which is characterized by thematic content. Results A total of 675 sample articles from 2008 through 2012 were retrieved from the Science Citation Index Expanded (SCIE) database of Web of Science, and top institutions and institutional pairs are highlighted for further discussion. Meanwhile, this study revealed that institutions based in the Chinese mainland are located in a relatively central position, Taiwan’s institutions are closely assembled on the side, and Hong Kong’s units located in the middle of the Chinese mainland’s and Taiwan’s. Spatial division and institutional hierarchy are still critical barriers to research collaboration in the field of anti-cancer drugs in China. In addition, the communities focusing on hot research areas show the higher nodal degree, whereas communities giving more attention to rare research subjects are relatively marginalized to the periphery of network. Conclusions This paper offers policy recommendations to accelerate cross-regional cooperation, such as through developing information technology and increasing investment. The brokers should focus more on outreach to other institutions. Finally, participation in topics of common interest is conducive to improved efficiency in research and development (R&D) resource allocation. PMID:25937775

  16. Analyzing Online Teacher Networks: Cyber Networks Require Cyber Research Tools

    ERIC Educational Resources Information Center

    Schlager, Mark S.; Farooq, Umer; Fusco, Judith; Schank, Patricia; Dwyer, Nathan

    2009-01-01

    The authors argue that conceptual and methodological limitations in existing research approaches severely hamper theory building and empirical exploration of teacher learning and collaboration through cyber-enabled networks. They conclude that new frameworks, tools, and techniques are needed to understand and maximize the benefits of teacher…

  17. Rare Diseases Clinical Research Network

    MedlinePlus

    ... Advocacy Groups About Us What is the RDCRN? Data Management And Coordinating Center (DMCC) Contact Us Working together ... up of 21 research groups (consortia) and a Data Management and Coordinating Center that are working together to ...

  18. Collaborative networks for both improvement and research.

    PubMed

    Clancy, Carolyn M; Margolis, Peter A; Miller, Marlene

    2013-06-01

    Moving significant therapeutic discoveries beyond early biomedical translation or T1 science and into practice involves: (1) T2 science, identifying "the right treatment for the right patient in the right way at the right time" (eg, patient-centered outcomes research) and tools to implement this knowledge (eg, guidelines, registries); and (2) T3 studies addressing how to achieve health care delivery change. Collaborative improvement networks can serve as large-scale, health system laboratories to engage clinicians, researchers, patients, and parents in testing approaches to translate research into practice. Improvement networks are of particular importance for pediatric T2 and T3 research, as evidence to establish safety and efficacy of therapeutic interventions in children is often lacking. Networks for improvement and research are also consistent with the Institute of Medicine's Learning Healthcare Systems model in which learning networks provide a system for improving care and outcomes and generate new knowledge in near real-time. Creation of total population registries in collaborative network sites provides large, representative study samples with high-quality data that can be used to generate evidence and to inform clinical decision-making. Networks use collaboration, data, and quality-improvement methods to standardize practice. Therefore, variation in outcomes due to unreliable and unnecessary care delivery is reduced, increasing statistical power, and allowing a consistent baseline from which to test new strategies. In addition, collaborative networks for improvement and research offer the opportunity to not only make improvements but also to study improvements to determine which interventions and combination of strategies work best in what settings.

  19. Researching the experience of kidney cancer patients.

    PubMed

    Taylor, K

    2002-09-01

    The author's personal experience as a kidney cancer patient, researcher and founder of a kidney cancer support group forms the basis for consideration of the challenges involved in researching patients' experiences. The researcher needs to understand the variability of those experiences in both clinical and psychological-emotional terms, and in relation to the personal, familial and social contexts of the patient. It is also essential to define the purpose of the research and to show how an understanding of personal experiences of cancer can be used to enhance the quality of care for cancer patients. The research encounter with a patient is also in some respects a therapeutic encounter requiring a considerable degree of sensitivity on the part of the researcher. The person-centred approach of Carl Rogers is of value in supporting such an encounter.

  20. The FIMP Medicines for Children Research Network

    PubMed Central

    2010-01-01

    The European Paediatric Regulation (EUPR) calls for the fostering of high quality ethical research and medicinal products to be used in children. The EUPR provides the background, goals, and requirements for paediatric clinical trials. Paediatric clinical trials in children are mandatory to generate data on new drugs as well as on drugs used off-label or for unlicensed indications. The Family Paediatricians Medicines for Children Research Network (FIMP-MCRN) was established in 2003 with the aim of developing competence, infrastructure, networking and education for paediatric clinical trials. The network, consisting of twenty Paediatric Regional Networks has progressed very well and has achieved valuable improvements concerning the conduct of paediatric clinical trials. Furthermore, ad hoc training programs have incremented knowledge about clinical trials in Family Paediatrician Investigators (FPI) and have made medical professionals as well as the public aware of the need and advantages of trials in children. PMID:20591168

  1. What's New in Gallbladder Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Gallbladder Cancer About Gallbladder Cancer What’s New in Gallbladder Cancer Research and Treatment? Research into ... Chemotherapy and radiation therapy Researchers are looking at new ways of increasing the effectiveness of radiation therapy . ...

  2. A computational model for cancer growth by using complex networks

    NASA Astrophysics Data System (ADS)

    Galvão, Viviane; Miranda, José G. V.

    2008-09-01

    In this work we propose a computational model to investigate the proliferation of cancerous cell by using complex networks. In our model the network represents the structure of available space in the cancer propagation. The computational scheme considers a cancerous cell randomly included in the complex network. When the system evolves the cells can assume three states: proliferative, non-proliferative, and necrotic. Our results were compared with experimental data obtained from three human lung carcinoma cell lines. The computational simulations show that the cancerous cells have a Gompertzian growth. Also, our model simulates the formation of necrosis, increase of density, and resources diffusion to regions of lower nutrient concentration. We obtain that the cancer growth is very similar in random and small-world networks. On the other hand, the topological structure of the small-world network is more affected. The scale-free network has the largest rates of cancer growth due to hub formation. Finally, our results indicate that for different average degrees the rate of cancer growth is related to the available space in the network.

  3. Gene transcriptional networks integrate microenvironmental signals in human breast cancer.

    PubMed

    Xu, Ren; Mao, Jian-Hua

    2011-04-01

    A significant amount of evidence shows that microenvironmental signals generated from extracellular matrix (ECM) molecules, soluble factors, and cell-cell adhesion complexes cooperate at the extra- and intracellular level. This synergetic action of microenvironmental cues is crucial for normal mammary gland development and breast malignancy. To explore how the microenvironmental genes coordinate in human breast cancer at the genome level, we have performed gene co-expression network analysis in three independent microarray datasets and identified two microenvironment networks in human breast cancer tissues. Network I represents crosstalk and cooperation of ECM microenvironment and soluble factors during breast malignancy. The correlated expression of cytokines, chemokines, and cell adhesion proteins in Network II implicates the coordinated action of these molecules in modulating the immune response in breast cancer tissues. These results suggest that microenvironmental cues are integrated with gene transcriptional networks to promote breast cancer development.

  4. Drug Repositioning through Systematic Mining of Gene Coexpression Networks in Cancer.

    PubMed

    Ivliev, Alexander E; 't Hoen, Peter A C; Borisevich, Dmitrii; Nikolsky, Yuri; Sergeeva, Marina G

    2016-01-01

    Gene coexpression network analysis is a powerful "data-driven" approach essential for understanding cancer biology and mechanisms of tumor development. Yet, despite the completion of thousands of studies on cancer gene expression, there have been few attempts to normalize and integrate co-expression data from scattered sources in a concise "meta-analysis" framework. We generated such a resource by exploring gene coexpression networks in 82 microarray datasets from 9 major human cancer types. The analysis was conducted using an elaborate weighted gene coexpression network (WGCNA) methodology and identified over 3,000 robust gene coexpression modules. The modules covered a range of known tumor features, such as proliferation, extracellular matrix remodeling, hypoxia, inflammation, angiogenesis, tumor differentiation programs, specific signaling pathways, genomic alterations, and biomarkers of individual tumor subtypes. To prioritize genes with respect to those tumor features, we ranked genes within each module by connectivity, leading to identification of module-specific functionally prominent hub genes. To showcase the utility of this network information, we positioned known cancer drug targets within the coexpression networks and predicted that Anakinra, an anti-rheumatoid therapeutic agent, may be promising for development in colorectal cancer. We offer a comprehensive, normalized and well documented collection of >3000 gene coexpression modules in a variety of cancers as a rich data resource to facilitate further progress in cancer research.

  5. Drug Repositioning through Systematic Mining of Gene Coexpression Networks in Cancer

    PubMed Central

    Ivliev, Alexander E.; ‘t Hoen, Peter A. C.; Borisevich, Dmitrii; Nikolsky, Yuri; Sergeeva, Marina G.

    2016-01-01

    Gene coexpression network analysis is a powerful “data-driven” approach essential for understanding cancer biology and mechanisms of tumor development. Yet, despite the completion of thousands of studies on cancer gene expression, there have been few attempts to normalize and integrate co-expression data from scattered sources in a concise “meta-analysis” framework. We generated such a resource by exploring gene coexpression networks in 82 microarray datasets from 9 major human cancer types. The analysis was conducted using an elaborate weighted gene coexpression network (WGCNA) methodology and identified over 3,000 robust gene coexpression modules. The modules covered a range of known tumor features, such as proliferation, extracellular matrix remodeling, hypoxia, inflammation, angiogenesis, tumor differentiation programs, specific signaling pathways, genomic alterations, and biomarkers of individual tumor subtypes. To prioritize genes with respect to those tumor features, we ranked genes within each module by connectivity, leading to identification of module-specific functionally prominent hub genes. To showcase the utility of this network information, we positioned known cancer drug targets within the coexpression networks and predicted that Anakinra, an anti-rheumatoid therapeutic agent, may be promising for development in colorectal cancer. We offer a comprehensive, normalized and well documented collection of >3000 gene coexpression modules in a variety of cancers as a rich data resource to facilitate further progress in cancer research. PMID:27824868

  6. Proteomics in prostate cancer research.

    PubMed

    Hellström, Magnus; Lexander, Helena; Franzén, Bo; Egevad, Lars

    2007-02-01

    The incidence of early prostate cancer (PCa) among middle-aged men has increased rapidly. For many of these men, curatively intended treatment does more harm than good. Established prognostic factors are tumor stage and grade. As a result of earlier detection a majority of patients now have nonpalpable tumors (T1c) of intermediate grade (Gleason score 6). Prostate specific antigen in serum in such cases is generally at a low level and not a reliable predictor of prognosis. Altogether there is an urgent need for adjunctive prognostic indicators. In the search for relevant tumor markers for improved patient selection an exploration of the proteome (the human proteins) could be fruitful. This paper critically reviews the use of 2-dimensional gel electrophoresis (2-DE) for proteome research. Additional steps such as image analysis and mass spectrometry are described. Techniques based on non-2-DE platforms: surface-enhanced laser desorption/ionization (SELDI), isotope coded affinity tags (ICAT) and array-based technologies are also summarized. Although labor-intensive and time-consuming, 2-DE is presently the most powerful method for analysis of cellular protein phenotype and may potentially reveal gene regulations that cannot be detected on a genetic level.

  7. TP53 mutations, expression and interaction networks in human cancers

    PubMed Central

    Wang, Xiaosheng; Sun, Qingrong

    2017-01-01

    Although the associations of p53 dysfunction, p53 interaction networks and oncogenesis have been widely explored, a systematic analysis of TP53 mutations and its related interaction networks in various types of human cancers is lacking. Our study explored the associations of TP53 mutations, gene expression, clinical outcomes, and TP53 interaction networks across 33 cancer types using data from The Cancer Genome Atlas (TCGA). We show that TP53 is the most frequently mutated gene in a number of cancers, and its mutations appear to be early events in cancer initiation. We identified genes potentially repressed by p53, and genes whose expression correlates significantly with TP53 expression. These gene products may be especially important nodes in p53 interaction networks in human cancers. This study shows that while TP53-truncating mutations often result in decreased TP53 expression, other non-truncating TP53 mutations result in increased TP53 expression in some cancers. Survival analyses in a number of cancers show that patients with TP53 mutations are more likely to have worse prognoses than TP53-wildtype patients, and that elevated TP53 expression often leads to poor clinical outcomes. We identified a set of candidate synthetic lethal (SL) genes for TP53, and validated some of these SL interactions using data from the Cancer Cell Line Project. These predicted SL genes are promising candidates for experimental validation and the development of personalized therapeutics for patients with TP53-mutated cancers. PMID:27880943

  8. TP53 mutations, expression and interaction networks in human cancers.

    PubMed

    Wang, Xiaosheng; Sun, Qingrong

    2017-01-03

    Although the associations of p53 dysfunction, p53 interaction networks and oncogenesis have been widely explored, a systematic analysis of TP53 mutations and its related interaction networks in various types of human cancers is lacking. Our study explored the associations of TP53 mutations, gene expression, clinical outcomes, and TP53 interaction networks across 33 cancer types using data from The Cancer Genome Atlas (TCGA). We show that TP53 is the most frequently mutated gene in a number of cancers, and its mutations appear to be early events in cancer initiation. We identified genes potentially repressed by p53, and genes whose expression correlates significantly with TP53 expression. These gene products may be especially important nodes in p53 interaction networks in human cancers. This study shows that while TP53-truncating mutations often result in decreased TP53 expression, other non-truncating TP53 mutations result in increased TP53 expression in some cancers. Survival analyses in a number of cancers show that patients with TP53 mutations are more likely to have worse prognoses than TP53-wildtype patients, and that elevated TP53 expression often leads to poor clinical outcomes. We identified a set of candidate synthetic lethal (SL) genes for TP53, and validated some of these SL interactions using data from the Cancer Cell Line Project. These predicted SL genes are promising candidates for experimental validation and the development of personalized therapeutics for patients with TP53-mutated cancers.

  9. Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms.

    PubMed

    Park, Jinwoo; Hur, Benjamin; Rhee, Sungmin; Lim, Sangsoo; Kim, Min-Su; Kim, Kwangsoo; Han, Wonshik; Kim, Sun

    2016-10-01

    A breast cancer subtype classification scheme, PAM50, based on genetic information is widely accepted for clinical applications. On the other hands, experimental cancer biology studies have been successful in revealing the mechanisms of breast cancer and now the hallmarks of cancer have been determined to explain the core mechanisms of tumorigenesis. Thus, it is important to understand how the breast cancer subtypes are related to the cancer core mechanisms, but multiple studies are yet to address the hallmarks of breast cancer subtypes. Therefore, a new approach that can explain the differences among breast cancer subtypes in terms of cancer hallmarks is needed. We developed an information theoretic sub-network mining algorithm, differentially expressed sub-network and pathway analysis (DeSPA), that retrieves tumor-related genes by mining a gene regulatory network (GRN) of transcription factors and miRNAs. With extensive experiments of the cancer genome atlas (TCGA) breast cancer sequencing data, we showed that our approach was able to select genes that belong to cancer core pathways such as DNA replication, cell cycle, p53 pathways while keeping the accuracy of breast cancer subtype classification comparable to that of PAM50. In addition, our method produces a regulatory network of TF, miRNA, and their target genes that distinguish breast cancer subtypes, which is confirmed by experimental studies in the literature.

  10. Sequencing the transcriptional network of androgen receptor in prostate cancer.

    PubMed

    Chng, Kern Rei; Cheung, Edwin

    2013-11-01

    The progression of prostate cancer is largely dependent on the activity of the androgen receptor (AR), which in turn, correlates with the net output of the AR transcriptional regulatory network. A detailed and thorough understanding of the AR transcriptional regulatory network is therefore critical in the strategic manipulation of AR activity for the targeted eradication of prostate cancer cells. In this mini-review, we highlight some of the novel and unexpected mechanistic and functional insights of the AR transcriptional network derived from recent targeted sequencing (ChIP-Seq) studies of AR and its coregulatory factors in prostate cancer cells.

  11. The value of research collaborations and consortia in rare cancers.

    PubMed

    Blay, Jean-Yves; Coindre, Jean-Michel; Ducimetière, Françoise; Ray-Coquard, Isabelle

    2016-02-01

    Rare cancers are defined by an incidence of less than six per 100,000 people per year. They represent roughly 20% of all human cancers and are associated with worse survival than are so-called frequent tumours, because of delays to accurate diagnosis, inadequate treatments, and fewer opportunities to participate in clinical trials (because of a paucity of dedicated trials from both academic and industrial sponsors). In this Series paper, we discuss how these challenges can be addressed by research consortia and suggest the integration of these consortia with reference networks, which gather multidisciplinary expert centres, for management of rare tumours.

  12. Puerto Rico NCI Community Oncology Research Program Minority/Underserved | Division of Cancer Prevention

    Cancer.gov

    DESCRIPTION (provided by applicant): The Puerto Rico NCI Community Oncology Research Program (PRNCORP) will be the principal organization in the island that promotes cancer prevention, control and screening/post-treatment surveillance clinical trials. It will conduct cancer care delivery research and will provide access to treatment and imaging clinical trials conducted under the reorganization of the National Clinical Trials Network (NCTN). It will evaluate disparity issues and outcomes in cancer care delivery and treatments. |

  13. Use of fecal immunochemical tests in the Iowa Research Network.

    PubMed

    Daly, Jeanette M; Bay, Camden; Levy, Barcey T

    2013-09-01

    Although the fecal immunochemical test (FIT) has recently emerged as an effective and affordable colorectal cancer screening option, many family physician offices continue to use guaiac-based tests. The purpose of this study was to assess the use of FITs in the Iowa Research Network and to assess physicians' knowledge about FITs. A cover letter and questionnaire were faxed twice to the 291 physician members followed up by a mailing. One hundred and seven (37%) questionnaires were returned. Participants' mean age was 55 years with 78 male responders. Fifty-two (49%) of the physician's offices were in a nonmetro area. Fifty-one (49%) reported using guaiac-based tests and 39 (39%) reported using FITs. Many physicians were unsure of the answers for the FIT knowledge questions. FIT use is not widespread in Iowa Research Network physician offices, and not all physicians are aware of the type of fecal occult blood test being conducted in their office.

  14. Creating a national home visiting research network.

    PubMed

    Duggan, Anne; Minkovitz, Cynthia S; Chaffin, Mark; Korfmacher, Jon; Brooks-Gunn, Jeanne; Crowne, Sarah; Filene, Jill; Gonsalves, Kay; Landsverk, John; Harwood, Robin

    2013-11-01

    Home visiting can play a key role in the early childhood system of services. For home visiting to achieve its potential, decision-makers must make informed choices regarding adoption, adaptation, coordination, scale-up, and sustainment. We need a coordinated, focused, and theory-based home visiting research infrastructure to inform such decisions. The transdisciplinary Home Visiting Research Network (HVRN) was established in July 2012 with funding from the Health Resources and Services Administration. Its goal is to promote the translation of research findings into policy and practice. Its objectives are to (1) develop a national home visiting research agenda, (2) advance the use of innovative research methods; and (3) provide a research environment that is supportive of the professional development of emerging researchers interested in home visiting. A Management Team designs and directs activities to achieve these objectives through Work Teams. A Steering Committee of national leaders representing stakeholder groups oversees progress. HVRN's Coordinating Center supports the Work Teams and HVRN's Home visiting Applied Research Collaborative, a practice-based research network of home visiting programs. This article describes HVRN's rationale, approach, and anticipated products. We use home visiting-primary care coordination as an illustration, noting potential roles for pediatric practices and pediatric researchers and research educators in HVRN activities. HVRN creates the infrastructure for a rigorous program of research to inform policy and practice on home visiting as part of the system of services to improve family functioning, parenting, and child outcomes.

  15. Behavioral Research in Cancer Prevention and Control

    PubMed Central

    Klein, William M. P.; Bloch, Michele; Hesse, Bradford W.; McDonald, Paige G.; Nebeling, Linda; O’Connell, Mary E.; Riley, William T.; Taplin, Stephen H.; Tesauro, Gina

    2013-01-01

    Human behavior is central to the etiology and management of cancer outcomes and presents several avenues for targeted and sustained intervention. Psychosocial experiences such as stress and health behaviors including tobacco use, sun exposure, poor diet, and a sedentary lifestyle increase the risk of some cancers yet are often quite resistant to change. Cancer screening and other health services are misunderstood and over-utilized, and vaccination underutilized, in part because of the avalanche of information about cancer prevention. Coordination of cancer care is suboptimal, and only a small fraction of cancer patients enroll in clinical trials essential to the development of new cancer treatments. A growing population of cancer survivors has necessitated a fresh view of cancer as a chronic rather than acute disease. Fortunately, behavioral research can address a wide variety of key processes and outcomes across the cancer controbiol continuum from prevention to end-of-life care. Here we consider effects at the biobehavioral and psychological, social and organizational, and environmental levels. We challenge the research community to address key behavioral targets across all levels of influence, while taking into account the many new methodological tools that can facilitate this important work. PMID:24512871

  16. RANK-mediated signaling network and cancer metastasis

    PubMed Central

    Chu, Chia-Yi Gina; Chung, Leland W. K.

    2014-01-01

    Cancer metastasis is highly inefficient and complex. Common features of metastatic cancer cells have been observed using cancer cell lines and genetically reconstituted mouse and human tumor xenograft models. These include cancer cell interaction with the tumor microenvironment, and the ability of cancer cells to sense extracellular stimuli and adapt to adverse growth conditions. This review summarizes the coordinated response of cancer cells to soluble growth factors, such as RANKL, by a unique forward feedback mechanism employing coordinated upregulation of RANKL and c-Met with downregulation of androgen receptor. The RANK-mediated signal network was found to drive epithelial to mesenchymal transition in prostate cancer cells, promote osteomimicry and the ability of prostate cancer cells to assume stem cell and neuroendocrine phenotypes, and confer the ability of prostate cancer cells to home to bone. Prostate cancer cells with activated RANK-mediated signal network were observed to recruit and even transform the non-tumorigenic prostate cancer cells to participate in bone and soft tissue colonization. The coordinated regulation of cancer cell invasion and metastasis by the forward feedback mechanism involving RANKL, c-Met, transcription factors and VEGF-neuropilin could offer new therapeutic opportunities to target prostate cancer bone and soft tissue metastases. PMID:24398859

  17. RANK-mediated signaling network and cancer metastasis.

    PubMed

    Chu, Gina Chia-Yi; Chung, Leland W K

    2014-09-01

    Cancer metastasis is highly inefficient and complex. Common features of metastatic cancer cells have been observed using cancer cell lines and genetically reconstituted mouse and human tumor xenograft models. These include cancer cell interaction with the tumor microenvironment and the ability of cancer cells to sense extracellular stimuli and adapt to adverse growth conditions. This review summarizes the coordinated response of cancer cells to soluble growth factors, such as RANKL, by a unique feed forward mechanism employing coordinated upregulation of RANKL and c-Met with downregulation of androgen receptor. The RANK-mediated signal network was found to drive epithelial to mesenchymal transition in prostate cancer cells, promote osteomimicry and the ability of prostate cancer cells to assume stem cell and neuroendocrine phenotypes, and confer the ability of prostate cancer cells to home to bone. Prostate cancer cells with activated RANK-mediated signal network were observed to recruit and even transform the non-tumorigenic prostate cancer cells to participate in bone and soft tissue colonization. The coordinated regulation of cancer cell invasion and metastasis by the feed forward mechanism involving RANKL, c-Met, transcription factors, and VEGF-neuropilin could offer new therapeutic opportunities to target prostate cancer bone and soft tissue metastases.

  18. Milestones in Cancer Research and Discovery

    Cancer.gov

    During the past 250 years, we have witnessed many landmark discoveries in our efforts to make progress against cancer, an affliction known to humanity for thousands of years. This timeline shows a few key milestones in the history of cancer research.

  19. [The German research network for mental disorders].

    PubMed

    Bauer, M; Banaschewski, T; Heinz, A; Kamp-Becker, I; Meyer-Lindenberg, A; Padberg, F; Rapp, M A; Rupprecht, R; Schneider, F; Schulze, T G; Wittchen, H-U

    2016-09-01

    Mental disorders are among the greatest medical and social challenges facing us. They can occur at all stages of life and are among the most important commonly occurring diseases. In Germany 28 % of the population suffer from a mental disorder every year, while the lifetime risk of suffering from a mental disorder is almost 50 %. Mental disorders cause great suffering for those affected and their social network. Quantitatively speaking, they can be considered to be among those diseases creating the greatest burden for society due to reduced productivity, absence from work and premature retirement. The Federal Ministry of Education and Research is funding a new research network from 2015 to 2019 with up to 35 million euros to investigate mental disorders in order to devise and develop better therapeutic measures and strategies for this population by means of basic and translational clinical research. This is the result of a competitive call for research proposals entitled research network for mental diseases. It is a nationwide network of nine consortia with up to ten psychiatric and clinical psychology partner institutions from largely university-based research facilities for adults and/or children and adolescents. Furthermore, three cross-consortia platform projects will seek to identify shared causes of diseases and new diagnostic modalities for anxiety disorders, attention deficit hyperactivity disorders (ADHS), autism, bipolar disorders, depression, schizophrenia and psychotic disorders as well as substance-related and addictive disorders. The spectrum of therapeutic approaches to be examined ranges from innovative pharmacological and psychotherapeutic treatment to novel brain stimulation procedures. In light of the enormous burden such diseases represent for society as a whole, a sustainable improvement in the financial support for those researching mental disorders seems essential. This network aims to become a nucleus for long overdue and sustained

  20. Cancer communication and informatics research across the cancer continuum.

    PubMed

    Hesse, Bradford W; Beckjord, Ellen; Rutten, Lila J Finney; Fagerlin, Angela; Cameron, Linda D

    2015-01-01

    Over the past decade, dramatic changes brought about by a rapid diffusion of Internet technologies, cellular telephones, mobile devices, personal digital assistants, electronic health records, and data visualization have helped to create a revolution in health communication. To understand the implications of this communication revolution for cancer care, the National Cancer Institute launched an ambitious set of research priorities under its "extraordinary opportunities" program. We present an overview of some of the relevant behavioral research being conducted within the perspective of this extraordinary opportunity in cancer communication research. We begin by tracing the implications of this research for behavioral scientists across the continuum of cancer care from primary prevention (e.g., tobacco control, diet, exercise, sun protection, and immunization against human papilloma virus), to secondary prevention (e.g., screening for polyps, lesions, and early stage neoplasms), to diagnosis and treatment, posttreatment survivorship, and end of life. Along each point of the continuum, we describe a natural evolution of knowledge from studies on the traditional role of media to research on the changing role of new media and informatics, and we carefully highlight the role that psychological research has played in improving communication- and health-related outcomes along the way. We conclude with an appeal to psychologists of many different backgrounds to join with biomedical researchers, engineers, clinical practitioners, and others to accelerate progress against cancer.

  1. Registers for Networked Medical Research in Germany

    PubMed Central

    Stausberg, J.; Altmann, U.; Antony, G.; Drepper, J.; Sax, U.; Schütt, A.

    2010-01-01

    Background Several disease specific registers are operated by members of the ‘TMF – Technology, Methods, and Infrastructure for Networked Medical Research’, an umbrella organization of research networks in Germany. Objective To describe the coverage and the current state as well as financial and organizational issues of registers operated by member networks of the TMF, to identify their requirements and needs, and to recommend best practice models. Methods A survey with a self-completion questionnaire including all 55 TMF member networks was carried out in winter 2007/2008. Interviews focusing on technological issues were conducted and analyzed in summer 2009 with a convenience sample of 10 registers. Results From 55 TMF member networks, 11 provided information about 14 registers. Six registers address diseases of the circulatory system with more than 150,000 registered patients. The interviews revealed a typical setting of “research registers”. Research registers are an important mean to generate hypotheses for clinical research, to identify eligible patients, and to share data with clinical trials. Concerning technical solutions, we found a remarkable heterogeneity. The analysis of the most efficient registers revealed a structure with five levels as best practice model of register management: executive, operations, IT-management, software, hardware. Conclusion In the last ten years, the TMF member networks established disease specific registers in Germany mainly to support clinical research. The heterogeneity of organizational and technical solutions as well as deficits in register planning motivated the development of respective recommendations. The TMF will continue to assist the registers in quality improvement. PMID:23616850

  2. What's New In Eye Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Eye Cancer About Eye Cancer What’s New in Eye Cancer Research and Treatment? Many medical ... high risk group. Using genes to help find new treatments Identifying gene changes in eye cancer cells ...

  3. Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps

    PubMed Central

    Kuperstein, I; Bonnet, E; Nguyen, H-A; Cohen, D; Viara, E; Grieco, L; Fourquet, S; Calzone, L; Russo, C; Kondratova, M; Dutreix, M; Barillot, E; Zinovyev, A

    2015-01-01

    Cancerogenesis is driven by mutations leading to aberrant functioning of a complex network of molecular interactions and simultaneously affecting multiple cellular functions. Therefore, the successful application of bioinformatics and systems biology methods for analysis of high-throughput data in cancer research heavily depends on availability of global and detailed reconstructions of signalling networks amenable for computational analysis. We present here the Atlas of Cancer Signalling Network (ACSN), an interactive and comprehensive map of molecular mechanisms implicated in cancer. The resource includes tools for map navigation, visualization and analysis of molecular data in the context of signalling network maps. Constructing and updating ACSN involves careful manual curation of molecular biology literature and participation of experts in the corresponding fields. The cancer-oriented content of ACSN is completely original and covers major mechanisms involved in cancer progression, including DNA repair, cell survival, apoptosis, cell cycle, EMT and cell motility. Cell signalling mechanisms are depicted in detail, together creating a seamless ‘geographic-like' map of molecular interactions frequently deregulated in cancer. The map is browsable using NaviCell web interface using the Google Maps engine and semantic zooming principle. The associated web-blog provides a forum for commenting and curating the ACSN content. ACSN allows uploading heterogeneous omics data from users on top of the maps for visualization and performing functional analyses. We suggest several scenarios for ACSN application in cancer research, particularly for visualizing high-throughput data, starting from small interfering RNA-based screening results or mutation frequencies to innovative ways of exploring transcriptomes and phosphoproteomes. Integration and analysis of these data in the context of ACSN may help interpret their biological significance and formulate mechanistic hypotheses

  4. NIH Research Leads to Cervical Cancer Vaccine

    MedlinePlus

    ... Transmitted Diseases NIH Research Leads to Cervical Cancer Vaccine Past Issues / Fall 2008 Table of Contents For ... Douglas Lowy (left) and John Schiller developed the vaccine to prevent HPV infection in women, the cause ...

  5. DCB - Cancer Immunology, Hematology, and Etiology Research

    Cancer.gov

    Part of NCI’s Division of Cancer Biology’s research portfolio, studies supported include the characterization of basic mechanisms relevant to anti-tumor immune responses and hematologic malignancies.

  6. Translating cancer research into targeted therapeutics.

    PubMed

    de Bono, J S; Ashworth, Alan

    2010-09-30

    The emphasis in cancer drug development has shifted from cytotoxic, non-specific chemotherapies to molecularly targeted, rationally designed drugs promising greater efficacy and less side effects. Nevertheless, despite some successes drug development remains painfully slow. Here, we highlight the issues involved and suggest ways in which this process can be improved and expedited. We envision an increasing shift to integrated cancer research and biomarker-driven adaptive and hypothesis testing clinical trials. The goal is the development of specific cancer medicines to treat the individual patient, with treatment selection being driven by a detailed understanding of the genetics and biology of the patient and their cancer.

  7. Joining Forces to Overcome Cancer: The Kenya Cancer Research and Control Stakeholder Program

    PubMed Central

    Topazian, Hillary; Cira, Mishka; Dawsey, Sanford M.; Kibachio, Joseph; Kocholla, Lillian; Wangai, Mary; Welch, Jack; Williams, Makeda J.; Duncan, Kalina; Galassi, Annette

    2016-01-01

    Background Cancer is the third leading cause of mortality in Kenya, accounting for 7% of annual deaths. The Kenyan Ministry of Health (MOH) is committed to reducing cancer mortality, as evidenced by policies such as the National Cancer Control Strategy (2011-2016). There are many Kenyan and international organizations devoted to this task; however, coordination is lacking among stakeholders, resulting in inefficient and overlapping expenditure of resources. Methods The MOH and the NCI Center for Global Health collaboratively executed a two day workshop to improve coordination among government, NGO, and private organizations. Over 80 stakeholders participated from leading cancer research and control institutions in Kenya and the international sphere. Findings Actionable recommendations include: establishment of a nationally representative population-based cancer registry; enhanced training for community health workers, nurses, researchers, pathologists, and oncology specialists; a reconfigured referral process, including leveraging of existing resources to improve access to cancer care; and coordinated community outreach and education. The MOH is in the process of forming a Technical Working Group (TWG) and has elected a Board of Directors for the newly established Kenyan National Cancer Institute (KNCI), with both entities committed to advancing the cancer control work of the MOH. Interpretation This stakeholder meeting enhanced in-country networks, identified priority needs and developed actionable proposals for coordinated improvement of cancer research and control. Active, persistent follow-up by the TWG, KNCI, and other partners will be needed to turn proposals into reality and ensure that partners' investments are integrated into larger cancer control efforts prioritized by MOH. PMID:26942109

  8. NCI Cancer Research Data Ecosystem

    Cancer.gov

    An infographic explaining NCI’s present and future efforts to promote a culture of sharing data—clinical, genomic, proteomic, imaging, patient histories, and outcomes data—among stakeholders to impact cancer care.

  9. American Institute for Cancer Research

    MedlinePlus

    ... that manages everything from our own appetite to metabolism. Learn More » From Our Blog: AICR ... Updates: CRU: Women Drinking Increasing Amounts of Alcohol, More Cancer Risk 35 Years of Fast Food ...

  10. Research Areas: Causes of Cancer

    Cancer.gov

    Understanding the exposures and risk factors that cause cancer, as well as the genetic abnormalities associated with the disease, has helped us to reduce certain exposures and to ameliorate their harmful effects.

  11. Prostate Cancer Research Training Program

    DTIC Science & Technology

    2014-05-01

    setting of cancer. Current efforts are focused on selecting RNA aptamers to receptors expressed on the surface of target cells with...institutions. A major project in the lab is targeted therapy of prostate cancer using PSMA-guided aptamers . Prabhat Goswami, PhD; Professor...participate. The Schultz lab also works to identify key cell-surface receptor residues as targets for novel peptide- and aptamer -based receptor

  12. Network of Cancer Genes (NCG 3.0): integration and analysis of genetic and network properties of cancer genes.

    PubMed

    D'Antonio, Matteo; Pendino, Vera; Sinha, Shruti; Ciccarelli, Francesca D

    2012-01-01

    The identification of a constantly increasing number of genes whose mutations are causally implicated in tumor initiation and progression (cancer genes) requires the development of tools to store and analyze them. The Network of Cancer Genes (NCG 3.0) collects information on 1494 cancer genes that have been found mutated in 16 different cancer types. These genes were collected from the Cancer Gene Census as well as from 18 whole exome and 11 whole-genome screenings of cancer samples. For each cancer gene, NCG 3.0 provides a summary of the gene features and the cross-reference to other databases. In addition, it describes duplicability, evolutionary origin, orthology, network properties, interaction partners, microRNA regulation and functional roles of cancer genes and of all genes that are related to them. This integrated network of information can be used to better characterize cancer genes in the context of the system in which they act. The data can also be used to identify novel candidates that share the same properties of known cancer genes and may therefore play a similar role in cancer. NCG 3.0 is freely available at http://bio.ifom-ieo-campus.it/ncg.

  13. Reprogramming of miRNA networks in cancer and leukemia.

    PubMed

    Volinia, Stefano; Galasso, Marco; Costinean, Stefan; Tagliavini, Luca; Gamberoni, Giacomo; Drusco, Alessandra; Marchesini, Jlenia; Mascellani, Nicoletta; Sana, Maria Elena; Abu Jarour, Ramzey; Desponts, Caroline; Teitell, Michael; Baffa, Raffaele; Aqeilan, Rami; Iorio, Marilena V; Taccioli, Cristian; Garzon, Ramiro; Di Leva, Gianpiero; Fabbri, Muller; Catozzi, Marco; Previati, Maurizio; Ambs, Stefan; Palumbo, Tiziana; Garofalo, Michela; Veronese, Angelo; Bottoni, Arianna; Gasparini, Pierluigi; Harris, Curtis C; Visone, Rosa; Pekarsky, Yuri; de la Chapelle, Albert; Bloomston, Mark; Dillhoff, Mary; Rassenti, Laura Z; Kipps, Thomas J; Huebner, Kay; Pichiorri, Flavia; Lenze, Dido; Cairo, Stefano; Buendia, Marie-Annick; Pineau, Pascal; Dejean, Anne; Zanesi, Nicola; Rossi, Simona; Calin, George A; Liu, Chang-Gong; Palatini, Jeff; Negrini, Massimo; Vecchione, Andrea; Rosenberg, Anne; Croce, Carlo M

    2010-05-01

    We studied miRNA profiles in 4419 human samples (3312 neoplastic, 1107 nonmalignant), corresponding to 50 normal tissues and 51 cancer types. The complexity of our database enabled us to perform a detailed analysis of microRNA (miRNA) activities. We inferred genetic networks from miRNA expression in normal tissues and cancer. We also built, for the first time, specialized miRNA networks for solid tumors and leukemias. Nonmalignant tissues and cancer networks displayed a change in hubs, the most connected miRNAs. hsa-miR-103/106 were downgraded in cancer, whereas hsa-miR-30 became most prominent. Cancer networks appeared as built from disjointed subnetworks, as opposed to normal tissues. A comparison of these nets allowed us to identify key miRNA cliques in cancer. We also investigated miRNA copy number alterations in 744 cancer samples, at a resolution of 150 kb. Members of miRNA families should be similarly deleted or amplified, since they repress the same cellular targets and are thus expected to have similar impacts on oncogenesis. We correctly identified hsa-miR-17/92 family as amplified and the hsa-miR-143/145 cluster as deleted. Other miRNAs, such as hsa-miR-30 and hsa-miR-204, were found to be physically altered at the DNA copy number level as well. By combining differential expression, genetic networks, and DNA copy number alterations, we confirmed, or discovered, miRNAs with comprehensive roles in cancer. Finally, we experimentally validated the miRNA network with acute lymphocytic leukemia originated in Mir155 transgenic mice. Most of miRNAs deregulated in these transgenic mice were located close to hsa-miR-155 in the cancer network.

  14. Reprogramming of miRNA networks in cancer and leukemia

    PubMed Central

    Volinia, Stefano; Galasso, Marco; Costinean, Stefan; Tagliavini, Luca; Gamberoni, Giacomo; Drusco, Alessandra; Marchesini, Jlenia; Mascellani, Nicoletta; Sana, Maria Elena; Abu Jarour, Ramzey; Desponts, Caroline; Teitell, Michael; Baffa, Raffaele; Aqeilan, Rami; Iorio, Marilena V.; Taccioli, Cristian; Garzon, Ramiro; Di Leva, Gianpiero; Fabbri, Muller; Catozzi, Marco; Previati, Maurizio; Ambs, Stefan; Palumbo, Tiziana; Garofalo, Michela; Veronese, Angelo; Bottoni, Arianna; Gasparini, Pierluigi; Harris, Curtis C.; Visone, Rosa; Pekarsky, Yuri; de la Chapelle, Albert; Bloomston, Mark; Dillhoff, Mary; Rassenti, Laura Z.; Kipps, Thomas J.; Huebner, Kay; Pichiorri, Flavia; Lenze, Dido; Cairo, Stefano; Buendia, Marie-Annick; Pineau, Pascal; Dejean, Anne; Zanesi, Nicola; Rossi, Simona; Calin, George A.; Liu, Chang-Gong; Palatini, Jeff; Negrini, Massimo; Vecchione, Andrea; Rosenberg, Anne; Croce, Carlo M.

    2010-01-01

    We studied miRNA profiles in 4419 human samples (3312 neoplastic, 1107 nonmalignant), corresponding to 50 normal tissues and 51 cancer types. The complexity of our database enabled us to perform a detailed analysis of microRNA (miRNA) activities. We inferred genetic networks from miRNA expression in normal tissues and cancer. We also built, for the first time, specialized miRNA networks for solid tumors and leukemias. Nonmalignant tissues and cancer networks displayed a change in hubs, the most connected miRNAs. hsa-miR-103/106 were downgraded in cancer, whereas hsa-miR-30 became most prominent. Cancer networks appeared as built from disjointed subnetworks, as opposed to normal tissues. A comparison of these nets allowed us to identify key miRNA cliques in cancer. We also investigated miRNA copy number alterations in 744 cancer samples, at a resolution of 150 kb. Members of miRNA families should be similarly deleted or amplified, since they repress the same cellular targets and are thus expected to have similar impacts on oncogenesis. We correctly identified hsa-miR-17/92 family as amplified and the hsa-miR-143/145 cluster as deleted. Other miRNAs, such as hsa-miR-30 and hsa-miR-204, were found to be physically altered at the DNA copy number level as well. By combining differential expression, genetic networks, and DNA copy number alterations, we confirmed, or discovered, miRNAs with comprehensive roles in cancer. Finally, we experimentally validated the miRNA network with acute lymphocytic leukemia originated in Mir155 transgenic mice. Most of miRNAs deregulated in these transgenic mice were located close to hsa-miR-155 in the cancer network. PMID:20439436

  15. [Cooperative Cardiovascular Disease Research Network (RECAVA)].

    PubMed

    García-Dorado, David; Castro-Beiras, Alfonso; Díez, Javier; Gabriel, Rafael; Gimeno-Blanes, Juan R; Ortiz de Landázuri, Manuel; Sánchez, Pedro L; Fernández-Avilés, Francisco

    2008-01-01

    Today, cardiovascular disease is the principal cause of death and hospitalization in Spain, and accounts for an annual healthcare budget of more than 4000 million euros. Consequently, early diagnosis, effective prevention, and the optimum treatment of cardiovascular disease present a significant social and healthcare challenge for the country. In this context, combining all available resources to increase the efficacy and healthcare benefits of scientific research is a priority. This rationale prompted the establishment of the Spanish Cooperative Cardiovascular Disease Research Network, or RECAVA (Red Temática de Investigación Cooperativa en Enfermedades Cardiovasculares), 5 years ago. Since its foundation, RECAVA's activities have focused on achieving four objectives: a) to facilitate contacts between basic, clinical and epidemiological researchers; b) to promote the shared use of advanced technological facilities; c) to apply research results to clinical practice, and d) to train a new generation of translational cardiovascular researchers in Spain. At present, RECAVA consists of 41 research groups and seven shared technological facilities. RECAVA's research strategy is based on a scientific design matrix centered on the most important cardiovascular processes. The level of RECAVA's research activity is reflected in the fact that 28 co-authored articles were published in international journals during the first six months of 2007, with each involving contributions from at least two groups in the network. Finally, RECAVA also participates in the work of the Spanish National Center for Cardiovascular Research, or CNIC (Centro Nacional de Investigación Cardiovascular), and some established Biomedical Research Network Centers, or CIBER (Centros de Investigación Biomédica en RED), with the aim of consolidating the development of a dynamic multidisciplinary research framework that is capable of meeting the growing challenge that cardiovascular disease will present

  16. Cancer systems biology: signal processing for cancer research.

    PubMed

    Yli-Harja, Olli; Ylipää, Antti; Nykter, Matti; Zhang, Wei

    2011-04-01

    In this editorial we introduce the research paradigms of signal processing in the era of systems biology. Signal processing is a field of science traditionally focused on modeling electronic and communications systems, but recently it has turned to biological applications with astounding results. The essence of signal processing is to describe the natural world by mathematical models and then, based on these models, develop efficient computational tools for solving engineering problems. Here, we underline, with examples, the endless possibilities which arise when the battle-hardened tools of engineering are applied to solve the problems that have tormented cancer researchers. Based on this approach, a new field has emerged, called cancer systems biology. Despite its short history, cancer systems biology has already produced several success stories tackling previously impracticable problems. Perhaps most importantly, it has been accepted as an integral part of the major endeavors of cancer research, such as analyzing the genomic and epigenomic data produced by The Cancer Genome Atlas (TCGA) project. Finally, we show that signal processing and cancer research, two fields that are seemingly distant from each other, have merged into a field that is indeed more than the sum of its parts.

  17. A Multi-Method Approach for Proteomic Network Inference in 11 Human Cancers

    PubMed Central

    Şenbabaoğlu, Yasin; Sümer, Selçuk Onur; Sánchez-Vega, Francisco; Bemis, Debra; Ciriello, Giovanni; Schultz, Nikolaus; Sander, Chris

    2016-01-01

    Protein expression and post-translational modification levels are tightly regulated in neoplastic cells to maintain cellular processes known as ‘cancer hallmarks’. The first Pan-Cancer initiative of The Cancer Genome Atlas (TCGA) Research Network has aggregated protein expression profiles for 3,467 patient samples from 11 tumor types using the antibody based reverse phase protein array (RPPA) technology. The resultant proteomic data can be utilized to computationally infer protein-protein interaction (PPI) networks and to study the commonalities and differences across tumor types. In this study, we compare the performance of 13 established network inference methods in their capacity to retrieve the curated Pathway Commons interactions from RPPA data. We observe that no single method has the best performance in all tumor types, but a group of six methods, including diverse techniques such as correlation, mutual information, and regression, consistently rank highly among the tested methods. We utilize the high performing methods to obtain a consensus network; and identify four robust and densely connected modules that reveal biological processes as well as suggest antibody–related technical biases. Mapping the consensus network interactions to Reactome gene lists confirms the pan-cancer importance of signal transduction pathways, innate and adaptive immune signaling, cell cycle, metabolism, and DNA repair; and also suggests several biological processes that may be specific to a subset of tumor types. Our results illustrate the utility of the RPPA platform as a tool to study proteomic networks in cancer. PMID:26928298

  18. Dynamics and pattern formation in a cancer network with diffusion

    NASA Astrophysics Data System (ADS)

    Zheng, Qianqian; Shen, Jianwei

    2015-10-01

    Diffusion is ubiquitous inside cells, and it is capable of inducing spontaneous pattern formation in reaction-diffusion systems on a spatially homogeneous domain. In this paper, we investigate the dynamics of a diffusive cancer network regulated by microRNA and obtain the condition that the network undergoes a Hopf bifurcation and a Turing pattern bifurcation. In addition, we also develop the amplitude equation of the network model by using Taylor series expansion, multi-scaling and further expansion in powers of a small parameter. As a result of these analyses, we obtain the explicit condition on how the dynamics of the diffusive cancer network evolve. These results reveal that this system has rich dynamics, such as spotted stripe and hexagon patterns. The bifurcation diagram helps us understand the biological mechanism in the cancer network. Finally, numerical simulations confirm our analytical results.

  19. Breast cancer prognosis predicted by nuclear receptor-coregulator networks.

    PubMed

    Doan, Tram B; Eriksson, Natalie A; Graham, Dinny; Funder, John W; Simpson, Evan R; Kuczek, Elizabeth S; Clyne, Colin; Leedman, Peter J; Tilley, Wayne D; Fuller, Peter J; Muscat, George E O; Clarke, Christine L

    2014-07-01

    Although molecular signatures based on transcript expression in breast cancer samples have provided new insights into breast cancer classification and prognosis, there are acknowledged limitations in current signatures. To provide rational, pathway-based signatures of disrupted physiology in cancer tissues that may be relevant to prognosis, this study has directly quantitated changed gene expression, between normal breast and cancer tissue, as a basis for signature development. The nuclear receptor (NR) family of transcription factors, and their coregulators, are fundamental regulators of every aspect of metazoan life, and were rigorously quantified in normal breast tissues and ERα positive and ERα negative breast cancers. Coregulator expression was highly correlated with that of selected NR in normal breast, particularly from postmenopausal women. These associations were markedly decreased in breast cancer, and the expression of the majority of coregulators was down-regulated in cancer tissues compared with normal. While in cancer the loss of NR-coregulator associations observed in normal breast was common, a small number of NR (Rev-ERBβ, GR, NOR1, LRH-1 and PGR) acquired new associations with coregulators in cancer tissues. Elevated expression of these NR in cancers was associated with poorer outcome in large clinical cohorts, as well as suggesting the activation of ERα -related, but ERα-independent, pathways in ERα negative cancers. In addition, the combined expression of small numbers of NR and coregulators in breast cancer was identified as a signature predicting outcome in ERα negative breast cancer patients, not linked to proliferation and with predictive power superior to existing signatures containing many more genes. These findings highlight the power of predictive signatures derived from the quantitative determination of altered gene expression between normal breast and breast cancers. Taken together, the findings of this study identify networks

  20. Exploring Practice-Research Networks for Critical Professional Learning

    ERIC Educational Resources Information Center

    Appleby, Yvon; Hillier, Yvonne

    2012-01-01

    This paper discusses the contribution that practice-research networks can make to support critical professional development in the Learning and Skills sector in England. By practice-research networks we mean groups or networks which maintain a connection between research and professional practice. These networks stem from the philosophy of…

  1. A subset polynomial neural networks approach for breast cancer diagnosis.

    PubMed

    O'Neill, T J; Penm, Jack; Penm, Jonathan

    2007-01-01

    Breast cancer is a very common and serious cancer for women that is diagnosed in one of every eight Australian women before the age of 85. The conventional method of breast cancer diagnosis is mammography. However, mammography has been reported to have poor diagnostic capability. In this paper we have used subset polynomial neural network techniques in conjunction with fine needle aspiration cytology to undertake this difficult task of predicting breast cancer. The successful findings indicate that adoption of NNs is likely to lead to increased survival of women with breast cancer, improved electronic healthcare, and enhanced quality of life.

  2. Research challenges in adolescent and young adult cancer survivor research.

    PubMed

    Tonorezos, Emily S; Oeffinger, Kevin C

    2011-05-15

    Every year in Canada and the United States, about 26,000 adolescent and young adults (AYA) between ages 15 and 29 years are diagnosed with cancer. Although the majority of AYA cancer patients will survive their primary cancer, many will develop serious health problems or die prematurely secondary to their curative cancer therapy. Much is known about the long-term health outcomes after adolescent cancer. In contrast, there remain substantial gaps in our understanding of the long-term outcomes after most young adult cancers. To optimize the health and quality of life of AYA cancer survivors and improve upon curative cancer therapy, it is essential to further investigate the long-term outcomes of this population. Before embarking upon this endeavor, it is important for the investigator and the funding agency to be cognizant about some of the unique challenges in research of AYA cancer survivors. To this end, the authors present a brief overview of some of the key research challenges, discuss the strengths and limitations of using available AYA cohorts and databases, and highlight potential future directions.

  3. Next generation distributed computing for cancer research.

    PubMed

    Agarwal, Pankaj; Owzar, Kouros

    2014-01-01

    Advances in next generation sequencing (NGS) and mass spectrometry (MS) technologies have provided many new opportunities and angles for extending the scope of translational cancer research while creating tremendous challenges in data management and analysis. The resulting informatics challenge is invariably not amenable to the use of traditional computing models. Recent advances in scalable computing and associated infrastructure, particularly distributed computing for Big Data, can provide solutions for addressing these challenges. In this review, the next generation of distributed computing technologies that can address these informatics problems is described from the perspective of three key components of a computational platform, namely computing, data storage and management, and networking. A broad overview of scalable computing is provided to set the context for a detailed description of Hadoop, a technology that is being rapidly adopted for large-scale distributed computing. A proof-of-concept Hadoop cluster, set up for performance benchmarking of NGS read alignment, is described as an example of how to work with Hadoop. Finally, Hadoop is compared with a number of other current technologies for distributed computing.

  4. Next Generation Distributed Computing for Cancer Research

    PubMed Central

    Agarwal, Pankaj; Owzar, Kouros

    2014-01-01

    Advances in next generation sequencing (NGS) and mass spectrometry (MS) technologies have provided many new opportunities and angles for extending the scope of translational cancer research while creating tremendous challenges in data management and analysis. The resulting informatics challenge is invariably not amenable to the use of traditional computing models. Recent advances in scalable computing and associated infrastructure, particularly distributed computing for Big Data, can provide solutions for addressing these challenges. In this review, the next generation of distributed computing technologies that can address these informatics problems is described from the perspective of three key components of a computational platform, namely computing, data storage and management, and networking. A broad overview of scalable computing is provided to set the context for a detailed description of Hadoop, a technology that is being rapidly adopted for large-scale distributed computing. A proof-of-concept Hadoop cluster, set up for performance benchmarking of NGS read alignment, is described as an example of how to work with Hadoop. Finally, Hadoop is compared with a number of other current technologies for distributed computing. PMID:25983539

  5. Parenclitic Network Analysis of Methylation Data for Cancer Identification

    PubMed Central

    Karsakov, Alexander; Bartlett, Thomas; Ryblov, Artem; Meyerov, Iosif; Ivanchenko, Mikhail; Zaikin, Alexey

    2017-01-01

    We make use of ideas from the theory of complex networks to implement a machine learning classification of human DNA methylation data, that carry signatures of cancer development. The data were obtained from patients with various kinds of cancers and represented as parenclictic networks, wherein nodes correspond to genes, and edges are weighted according to pairwise variation from control group subjects. We demonstrate that for the 10 types of cancer under study, it is possible to obtain a high performance of binary classification between cancer-positive and negative samples based on network measures. Remarkably, an accuracy as high as 93−99% is achieved with only 12 network topology indices, in a dramatic reduction of complexity from the original 15295 gene methylation levels. Moreover, it was found that the parenclictic networks are scale-free in cancer-negative subjects, and deviate from the power-law node degree distribution in cancer. The node centrality ranking and arising modular structure could provide insights into the systems biology of cancer. PMID:28107365

  6. What's New in Bone Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Bone Cancer About Bone Cancer What’s New in Bone Cancer Research and Treatment? Research on ... from growing for a time. Some are testing new chemo drugs. Targeted therapy Targeted therapy drugs work ...

  7. What's New in Kidney Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Kidney Cancer About Kidney Cancer What’s New in Kidney Cancer Research and Treatment? Research on ... can also be used to develop new treatments. New approaches to local treatment High-intensity focused ultrasound ( ...

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

    MedlinePlus

    ... and Treatment? Stomach Cancer About Stomach Cancer What’s New in Stomach Cancer Research and Treatment? Research is ... Chemotherapy drugs and combinations Some studies are testing new ways to combine drugs already known to be ...

  9. Infectious Agents and Cancer Epidemiology Research Webinar Series

    Cancer.gov

    Infectious Agents and Cancer Epidemiology Research Webinar Series highlights emerging and cutting-edge research related to infection-associated cancers, shares scientific knowledge about technologies and methods, and fosters cross-disciplinary discussions on infectious agents and cancer epidemiology.

  10. Occupational cancer research in the Nordic countries.

    PubMed Central

    Kjaerheim, K

    1999-01-01

    Occupational cancer research in the Nordic countries benefits from certain structural advantages, including the existence of computerized population registries, national cancer registries with high-quality data on cancer incidence, and a personal identification number for each inhabitant. This article outlines the utilization of this research infrastructure in Denmark, Finland, Iceland, Norway, and Sweden, together with research examples from the different countries. Future research on occupational cancer in this region requires that national legislation on electronic handling of sensitive personal information should not be stricter than the European Union Directive on individual protection with regard to personal data. A personal identification number is essential both for keeping up the high quality of data of the registers and for the high quality of the process of linking the different data sources together. Although previous occupational research has focused on male workers, a broader approach is needed in the future, including a study of how cancer risk in women may be affected by occupational activity and the question of possible cancer risk in offspring of men and women exposed to workplace carcinogens. PMID:10350505

  11. Conceptualizing and Advancing Research Networking Systems

    PubMed Central

    SCHLEYER, TITUS; BUTLER, BRIAN S.; SONG, MEI; SPALLEK, HEIKO

    2013-01-01

    Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture, and evaluation. Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers’ need for comprehensive information and potential collaborators’ desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user’s primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems. PMID:24376309

  12. About the Breast and Gynecologic Cancer Research Group | Division of Cancer Prevention

    Cancer.gov

    The Breast and Gynecologic Cancer Research Group conducts and fosters the development of research on the prevention and early detection of breast cancer, cervix and human papillomavirus (HPV)-related cancers, endometrial cancers, ovarian cancers, and precursor conditions related to these cancers. |

  13. Cancer Prevention and Control Research Manpower Development

    DTIC Science & Technology

    1999-10-01

    physical function- Disadvantages of multi-institutional team research ing. Differences were not related to stage of disease , occur as well and can be...life research, and expertise in multicultural research among responses of patients with cancer to disease related to four cultural groups: African... related to disease or treatment. This sensation is multidimensional, is Multicultural Research Issues not easily relieved by rest, and has a profound

  14. Disparate companions: tissue engineering meets cancer research.

    PubMed

    Tilkorn, Daniel J; Lokmic, Zerina; Chaffer, Christine L; Mitchell, Geraldine M; Morrison, Wayne A; Thompson, Erik W

    2010-01-01

    Recreating an environment that supports and promotes fundamental homeostatic mechanisms is a significant challenge in tissue engineering. Optimizing cell survival, proliferation, differentiation, apoptosis and angiogenesis, and providing suitable stromal support and signalling cues are keys to successfully generating clinically useful tissues. Interestingly, those components are often subverted in the cancer setting, where aberrant angiogenesis, cellular proliferation, cell signalling and resistance to apoptosis drive malignant growth. In contrast to tissue engineering, identifying and inhibiting those pathways is a major challenge in cancer research. The recent discovery of adult tissue-specific stem cells has had a major impact on both tissue engineering and cancer research. The unique properties of these cells and their role in tissue and organ repair and regeneration hold great potential for engineering tissue-specific constructs. The emerging body of evidence implicating stem cells and progenitor cells as the source of oncogenic transformation prompts caution when using these cells for tissue-engineering purposes. While tissue engineering and cancer research may be considered as opposed fields of research with regard to their proclaimed goals, the compelling overlap in fundamental pathways underlying these processes suggests that cross-disciplinary research will benefit both fields. In this review article, tissue engineering and cancer research are brought together and explored with regard to discoveries that may be of mutual benefit.

  15. The network of pluripotency, epithelial–mesenchymal transition, and prognosis of breast cancer

    PubMed Central

    Voutsadakis, Ioannis A

    2015-01-01

    Breast cancer is the leading female cancer in terms of prevalence. Progress in molecular biology has brought forward a better understanding of its pathogenesis that has led to better prognostication and treatment. Subtypes of breast cancer have been identified at the genomic level and guide therapeutic decisions based on their biology and the expected benefit from various interventions. Despite this progress, a significant percentage of patients die from their disease and further improvements are needed. The cancer stem cell theory and the epithelial–mesenchymal transition are two comparatively novel concepts that have been introduced in the area of cancer research and are actively investigated. Both processes have their physiologic roots in normal development and common mediators have begun to surface. This review discusses the associations of these networks as a prognostic framework in breast cancer. PMID:26379447

  16. A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells.

    PubMed

    Niida, Atsushi; Imoto, Seiya; Nagasaki, Masao; Yamaguchi, Rui; Miyano, Satoru

    2010-01-01

    Although microarray technology has revealed transcriptomic diversities underlining various cancer phenotypes, transcriptional programs controlling them have not been well elucidated. To decode transcriptional programs governing cancer transcriptomes, we have recently developed a computational method termed EEM, which searches for expression modules from prescribed gene sets defined by prior biological knowledge like TF binding motifs. In this paper, we extend our EEM approach to predict cancer transcriptional networks. Starting from functional TF binding motifs and expression modules identified by EEM, we predict cancer transcriptional networks containing regulatory TFs, associated GO terms, and interactions between TF binding motifs. To systematically analyze transcriptional programs in broad types of cancer, we applied our EEM-based network prediction method to 122 microarray datasets collected from public databases. The data sets contain about 15000 experiments for tumor samples of various tissue origins including breast, colon, lung etc. This EEM based meta-analysis successfully revealed a prevailing cancer transcriptional network which functions in a large fraction of cancer transcriptomes; they include cell-cycle and immune related sub-networks. This study demonstrates broad applicability of EEM, and opens a way to comprehensive understanding of transcriptional networks in cancer cells.

  17. Cancer Research by the Numbers - TCGA

    Cancer.gov

    Biostatistician Dr. Jill Barnholtz-Sloan strives to make a difference in the field of cancer research while inspiring her students at the same time. Learn more about how she uses TCGA data in her career in this TCGA in Action Researcher Profile.

  18. 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

  19. Research Training Program in Breast Cancer

    DTIC Science & Technology

    1995-06-30

    AD GRANT NO: DAMD17-94-J-4204 TITLE: Research Training Program in Breast Cancer PRINCIPAL INVESTIGATOR: Dr. Daniel Medina CONTRACTING ORGANIZATION...Program in Breast Cancer DAMD17-94-J-4204 Dr. Daniel Medina S-:* , LiNG ORGANI-ZA FiON ;8A•E(Sj -’ r.,DE53(25) . :ERFOGMJNG ORGANIZATION Baylor: College...program is to produce highly qualified scientists for careers as independent investigators in the field of breast cancer . In the last 20 years, there has

  20. International network of cancer genome projects

    PubMed Central

    2010-01-01

    The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumors from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of over 25,000 cancer genomes at the genomic, epigenomic, and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically-relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies. PMID:20393554

  1. International network of cancer genome projects.

    PubMed

    Hudson, Thomas J; Anderson, Warwick; Artez, Axel; Barker, Anna D; Bell, Cindy; Bernabé, Rosa R; Bhan, M K; Calvo, Fabien; Eerola, Iiro; Gerhard, Daniela S; Guttmacher, Alan; Guyer, Mark; Hemsley, Fiona M; Jennings, Jennifer L; Kerr, David; Klatt, Peter; Kolar, Patrik; Kusada, Jun; Lane, David P; Laplace, Frank; Youyong, Lu; Nettekoven, Gerd; Ozenberger, Brad; Peterson, Jane; Rao, T S; Remacle, Jacques; Schafer, Alan J; Shibata, Tatsuhiro; Stratton, Michael R; Vockley, Joseph G; Watanabe, Koichi; Yang, Huanming; Yuen, Matthew M F; Knoppers, Bartha M; Bobrow, Martin; Cambon-Thomsen, Anne; Dressler, Lynn G; Dyke, Stephanie O M; Joly, Yann; Kato, Kazuto; Kennedy, Karen L; Nicolás, Pilar; Parker, Michael J; Rial-Sebbag, Emmanuelle; Romeo-Casabona, Carlos M; Shaw, Kenna M; Wallace, Susan; Wiesner, Georgia L; Zeps, Nikolajs; Lichter, Peter; Biankin, Andrew V; Chabannon, Christian; Chin, Lynda; Clément, Bruno; de Alava, Enrique; Degos, Françoise; Ferguson, Martin L; Geary, Peter; Hayes, D Neil; Hudson, Thomas J; Johns, Amber L; Kasprzyk, Arek; Nakagawa, Hidewaki; Penny, Robert; Piris, Miguel A; Sarin, Rajiv; Scarpa, Aldo; Shibata, Tatsuhiro; van de Vijver, Marc; Futreal, P Andrew; Aburatani, Hiroyuki; Bayés, Mónica; Botwell, David D L; Campbell, Peter J; Estivill, Xavier; Gerhard, Daniela S; Grimmond, Sean M; Gut, Ivo; Hirst, Martin; López-Otín, Carlos; Majumder, Partha; Marra, Marco; McPherson, John D; Nakagawa, Hidewaki; Ning, Zemin; Puente, Xose S; Ruan, Yijun; Shibata, Tatsuhiro; Stratton, Michael R; Stunnenberg, Hendrik G; Swerdlow, Harold; Velculescu, Victor E; Wilson, Richard K; Xue, Hong H; Yang, Liu; Spellman, Paul T; Bader, Gary D; Boutros, Paul C; Campbell, Peter J; Flicek, Paul; Getz, Gad; Guigó, Roderic; Guo, Guangwu; Haussler, David; Heath, Simon; Hubbard, Tim J; Jiang, Tao; Jones, Steven M; Li, Qibin; López-Bigas, Nuria; Luo, Ruibang; Muthuswamy, Lakshmi; Ouellette, B F Francis; Pearson, John V; Puente, Xose S; Quesada, Victor; Raphael, Benjamin J; Sander, Chris; Shibata, Tatsuhiro; Speed, Terence P; Stein, Lincoln D; Stuart, Joshua M; Teague, Jon W; Totoki, Yasushi; Tsunoda, Tatsuhiko; Valencia, Alfonso; Wheeler, David A; Wu, Honglong; Zhao, Shancen; Zhou, Guangyu; Stein, Lincoln D; Guigó, Roderic; Hubbard, Tim J; Joly, Yann; Jones, Steven M; Kasprzyk, Arek; Lathrop, Mark; López-Bigas, Nuria; Ouellette, B F Francis; Spellman, Paul T; Teague, Jon W; Thomas, Gilles; Valencia, Alfonso; Yoshida, Teruhiko; Kennedy, Karen L; Axton, Myles; Dyke, Stephanie O M; Futreal, P Andrew; Gerhard, Daniela S; Gunter, Chris; Guyer, Mark; Hudson, Thomas J; McPherson, John D; Miller, Linda J; Ozenberger, Brad; Shaw, Kenna M; Kasprzyk, Arek; Stein, Lincoln D; Zhang, Junjun; Haider, Syed A; Wang, Jianxin; Yung, Christina K; Cros, Anthony; Cross, Anthony; Liang, Yong; Gnaneshan, Saravanamuttu; Guberman, Jonathan; Hsu, Jack; Bobrow, Martin; Chalmers, Don R C; Hasel, Karl W; Joly, Yann; Kaan, Terry S H; Kennedy, Karen L; Knoppers, Bartha M; Lowrance, William W; Masui, Tohru; Nicolás, Pilar; Rial-Sebbag, Emmanuelle; Rodriguez, Laura Lyman; Vergely, Catherine; Yoshida, Teruhiko; Grimmond, Sean M; Biankin, Andrew V; Bowtell, David D L; Cloonan, Nicole; deFazio, Anna; Eshleman, James R; Etemadmoghadam, Dariush; Gardiner, Brooke B; Gardiner, Brooke A; Kench, James G; Scarpa, Aldo; Sutherland, Robert L; Tempero, Margaret A; Waddell, Nicola J; Wilson, Peter J; McPherson, John D; Gallinger, Steve; Tsao, Ming-Sound; Shaw, Patricia A; Petersen, Gloria M; Mukhopadhyay, Debabrata; Chin, Lynda; DePinho, Ronald A; Thayer, Sarah; Muthuswamy, Lakshmi; Shazand, Kamran; Beck, Timothy; Sam, Michelle; Timms, Lee; Ballin, Vanessa; Lu, Youyong; Ji, Jiafu; Zhang, Xiuqing; Chen, Feng; Hu, Xueda; Zhou, Guangyu; Yang, Qi; Tian, Geng; Zhang, Lianhai; Xing, Xiaofang; Li, Xianghong; Zhu, Zhenggang; Yu, Yingyan; Yu, Jun; Yang, Huanming; Lathrop, Mark; Tost, Jörg; Brennan, Paul; Holcatova, Ivana; Zaridze, David; Brazma, Alvis; Egevard, Lars; Prokhortchouk, Egor; Banks, Rosamonde Elizabeth; Uhlén, Mathias; Cambon-Thomsen, Anne; Viksna, Juris; Ponten, Fredrik; Skryabin, Konstantin; Stratton, Michael R; Futreal, P Andrew; Birney, Ewan; Borg, Ake; Børresen-Dale, Anne-Lise; Caldas, Carlos; Foekens, John A; Martin, Sancha; Reis-Filho, Jorge S; Richardson, Andrea L; Sotiriou, Christos; Stunnenberg, Hendrik G; Thoms, Giles; van de Vijver, Marc; van't Veer, Laura; Calvo, Fabien; Birnbaum, Daniel; Blanche, Hélène; Boucher, Pascal; Boyault, Sandrine; Chabannon, Christian; Gut, Ivo; Masson-Jacquemier, Jocelyne D; Lathrop, Mark; Pauporté, Iris; Pivot, Xavier; Vincent-Salomon, Anne; Tabone, Eric; Theillet, Charles; Thomas, Gilles; Tost, Jörg; Treilleux, Isabelle; Calvo, Fabien; Bioulac-Sage, Paulette; Clément, Bruno; Decaens, Thomas; Degos, Françoise; Franco, Dominique; Gut, Ivo; Gut, Marta; Heath, Simon; Lathrop, Mark; Samuel, Didier; Thomas, Gilles; Zucman-Rossi, Jessica; Lichter, Peter; Eils, Roland; Brors, Benedikt; Korbel, Jan O; Korshunov, Andrey; Landgraf, Pablo; Lehrach, Hans; Pfister, Stefan; Radlwimmer, Bernhard; Reifenberger, Guido; Taylor, Michael D; von Kalle, Christof; Majumder, Partha P; Sarin, Rajiv; Rao, T S; Bhan, M K; Scarpa, Aldo; Pederzoli, Paolo; Lawlor, Rita A; Delledonne, Massimo; Bardelli, Alberto; Biankin, Andrew V; Grimmond, Sean M; Gress, Thomas; Klimstra, David; Zamboni, Giuseppe; Shibata, Tatsuhiro; Nakamura, Yusuke; Nakagawa, Hidewaki; Kusada, Jun; Tsunoda, Tatsuhiko; Miyano, Satoru; Aburatani, Hiroyuki; Kato, Kazuto; Fujimoto, Akihiro; Yoshida, Teruhiko; Campo, Elias; López-Otín, Carlos; Estivill, Xavier; Guigó, Roderic; de Sanjosé, Silvia; Piris, Miguel A; Montserrat, Emili; González-Díaz, Marcos; Puente, Xose S; Jares, Pedro; Valencia, Alfonso; Himmelbauer, Heinz; Himmelbaue, Heinz; Quesada, Victor; Bea, Silvia; Stratton, Michael R; Futreal, P Andrew; Campbell, Peter J; Vincent-Salomon, Anne; Richardson, Andrea L; Reis-Filho, Jorge S; van de Vijver, Marc; Thomas, Gilles; Masson-Jacquemier, Jocelyne D; Aparicio, Samuel; Borg, Ake; Børresen-Dale, Anne-Lise; Caldas, Carlos; Foekens, John A; Stunnenberg, Hendrik G; van't Veer, Laura; Easton, Douglas F; Spellman, Paul T; Martin, Sancha; Barker, Anna D; Chin, Lynda; Collins, Francis S; Compton, Carolyn C; Ferguson, Martin L; Gerhard, Daniela S; Getz, Gad; Gunter, Chris; Guttmacher, Alan; Guyer, Mark; Hayes, D Neil; Lander, Eric S; Ozenberger, Brad; Penny, Robert; Peterson, Jane; Sander, Chris; Shaw, Kenna M; Speed, Terence P; Spellman, Paul T; Vockley, Joseph G; Wheeler, David A; Wilson, Richard K; Hudson, Thomas J; Chin, Lynda; Knoppers, Bartha M; Lander, Eric S; Lichter, Peter; Stein, Lincoln D; Stratton, Michael R; Anderson, Warwick; Barker, Anna D; Bell, Cindy; Bobrow, Martin; Burke, Wylie; Collins, Francis S; Compton, Carolyn C; DePinho, Ronald A; Easton, Douglas F; Futreal, P Andrew; Gerhard, Daniela S; Green, Anthony R; Guyer, Mark; Hamilton, Stanley R; Hubbard, Tim J; Kallioniemi, Olli P; Kennedy, Karen L; Ley, Timothy J; Liu, Edison T; Lu, Youyong; Majumder, Partha; Marra, Marco; Ozenberger, Brad; Peterson, Jane; Schafer, Alan J; Spellman, Paul T; Stunnenberg, Hendrik G; Wainwright, Brandon J; Wilson, Richard K; Yang, Huanming

    2010-04-15

    The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

  2. Prostate Cancer Research Training Program

    DTIC Science & Technology

    2014-04-01

    cellular pathways underlying pathological cell proliferation in the setting of cancer. Current efforts are focused on selecting RNA aptamers to...guided aptamers . Prabhat Goswami, PhD; Professor, Department of Radiation Oncology (319-384-4666) http://www.uiowa.edu/~frrbp/goswami.html...as targets for novel peptide- and aptamer -based receptor agonists and antagonists — and become proficient in manipulating the molecular

  3. Nebraska Prostate Cancer Research Program

    DTIC Science & Technology

    2014-07-01

    Effect of Metal Ion Chelators on Mannose 6-Phosphate/Insulin-like Growth Factor II Receptor in DU145 Prostate Cancer Cells. UNMC Summer Undergraduate...Lynnette Lefall Date Published: Friday, August 6, 2010 Keidra Bryant – Abstract Effect of Metal Ion Chelators on Mannose 6-Phosphate/Insulin...cleaved at the cell surface by a protease that is inhibited by metal ion chelators. This work was done in a human embryonic kidney cell line. The goal

  4. NCI Approves Funding Plan for NCI Community Oncology Research Program (NCORP) | Division of Cancer Prevention

    Cancer.gov

    On June 24, 2014, the Scientific Program Leaders (SPL) of the National Cancer Institute (NCI) approved the funding plan for the NCI Community Oncology Research Program (NCORP), a national network of investigators, cancer care providers, academic institutions, and other organizations. NCORP will conduct multi-site cancer clinical trials and studies in diverse populations in community-based healthcare systems across the United States. The program will receive $93 million a year for five years. |

  5. A basis for translational cancer research on aetiology, pathogenesis and prognosis: Guideline for standardised and population-based linkages of biobanks to cancer registries.

    PubMed

    Dillner, Joakim

    2015-06-01

    Population-based cancer research is paramount for controlling cancer. Cancer research is increasingly dependent on access to biospecimens from subjects that have been followed-up for future health outcomes. This is achieved using longitudinal follow-up of cohorts and biobanks using cancer registry linkages. All over the world, more and more large population-based cohorts and advanced biobanking facilities are established. International standardisation and networking in the linkage of cohorts and biobanks to cancer registries is required in order to enable international cancer research and comparability of research results. An international operating procedure and standard minimum dataset for linkages of biobanks, cohorts and cancer registries is proposed. An internationally comparable provision of well characterised study bases for molecular cancer research will be an essential prerequisite for the success of translational medicine.

  6. The Evolution of the Personal Networks of Novice Librarian Researchers

    ERIC Educational Resources Information Center

    Kennedy, Marie R.; Kennedy, David P.; Brancolini, Kristine R.

    2017-01-01

    This article describes for the first time the composition and structure of the personal networks of novice librarian researchers. We used social network analysis to observe if participating in the Institute for Research Design in Librarianship (IRDL) affected the development of the librarians' personal networks and how the networks changed over…

  7. Research Networks and Technology Migration (RESNETSII)

    DTIC Science & Technology

    2004-07-01

    Angeles (California) ucsc University of California at Santa Cruz (California) udel University of Delaware (Delaware) Some of the research...UC Santa Cruz , UCLA Multicast-based Inference of Network-internal Characteristics (MINC) multicast-based estimators of the origins of...Measurements by Laser Techniques," Italian Assn. for Laser Velocimetry, Ancona , Italy, 18-21 June 2002 7 Yima: A Second Generation Continuous Media

  8. Evaluation of a community-academic partnership: lessons from Latinos in a network for cancer control.

    PubMed

    Corbin, J Hope; Fernandez, Maria E; Mullen, Patricia D

    2015-05-01

    Established in 2002, Latinos in a Network for Cancer Control is a community-academic network supported by the Centers for Disease Control and Prevention and the National Cancer Institute. The network includes >130 individuals from 65 community and academic organizations committed to reducing cancer-related health disparities. Using an empirically derived systems model--the Bergen Model of Collaborative Functioning--as the analytic frame, we interviewed 19 partners to identify challenges and successful processes. Findings indicated that sustained partner interaction created "meaningful relationships" that were routinely called on for collaboration. The leadership was regarded positively on vision, charisma, and capacity. Limitations included overreliance on a single leader. Suggestions supported more delegation of decision making, consistent communication, and more equitable resource distribution. The study highlighted new insights into dynamics of collaboration: Greater inclusiveness of inputs (partners, finances, mission) and loosely defined roles and structure produced strong connections but less network-wide productivity (output). Still, this profile enabled the creation of more tightly defined and highly productive subgroups, with clear goals and roles but less inclusive of inputs than the larger network. Important network outputs included practice-based research publications, cancer control intervention materials, and training to enhance the use of evidence-based interventions, as well as continued and diversified funding.

  9. Selected National Cancer Institute Breast Cancer Research Topics | NIH MedlinePlus the Magazine

    MedlinePlus

    ... Sciences are jointly funding three Breast Cancer and Environment Research Centers (BCERCs) to conduct interdisciplinary research on the effects of early environmental exposures on breast development and breast cancer risk. The Breast Cancer Surveillance ...

  10. About the Gastrointestinal and Other Cancers Research Group | Division of Cancer Prevention

    Cancer.gov

    The Gastrointestinal and Other Cancers Research Group conducts and supports prevention and early detection research on colorectal, esophageal, liver, pancreatic, and hematolymphoid cancers, as well as new approaches to clinical prevention studies including cancer immunoprevention. |

  11. Computational cell fate modelling for discovery of rewiring in apoptotic network for enhanced cancer drug sensitivity.

    PubMed

    Mishra, Shital K; Bhowmick, Sourav S; Chua, Huey; Zhang, Fan; Zheng, Jie

    2015-01-01

    The ongoing cancer research has shown that malignant tumour cells have highly disrupted signalling transduction pathways. In cancer cells, signalling pathways are altered to satisfy the demands of continuous proliferation and survival. The changes in signalling pathways supporting uncontrolled cell growth, termed as rewiring, can lead to dysregulation of cell fates e.g. apoptosis. Hence comparative analysis of normal and oncogenic signal transduction pathways may provide insights into mechanisms of cancer drug-resistance and facilitate the discovery of novel and effective anti-cancer therapies. Here we propose a hybrid modelling approach based on ordinary differential equation (ODE) and machine learning to map network rewiring in the apoptotic pathways that may be responsible for the increase of drug sensitivity of tumour cells in triple-negative breast cancer. Our method employs Genetic Algorithm to search for the most likely network topologies by iteratively generating simulated protein phosphorylation data using ODEs and the rewired network and then fitting the simulated data with real data of cancer signalling and cell fate. Most of our predictions are consistent with experimental evidence from literature. Combining the strengths of knowledge-driven and data-driven approaches, our hybrid model can help uncover molecular mechanisms of cancer cell fate at systems level.

  12. Computational cell fate modelling for discovery of rewiring in apoptotic network for enhanced cancer drug sensitivity

    PubMed Central

    2015-01-01

    The ongoing cancer research has shown that malignant tumour cells have highly disrupted signalling transduction pathways. In cancer cells, signalling pathways are altered to satisfy the demands of continuous proliferation and survival. The changes in signalling pathways supporting uncontrolled cell growth, termed as rewiring, can lead to dysregulation of cell fates e.g. apoptosis. Hence comparative analysis of normal and oncogenic signal transduction pathways may provide insights into mechanisms of cancer drug-resistance and facilitate the discovery of novel and effective anti-cancer therapies. Here we propose a hybrid modelling approach based on ordinary differential equation (ODE) and machine learning to map network rewiring in the apoptotic pathways that may be responsible for the increase of drug sensitivity of tumour cells in triple-negative breast cancer. Our method employs Genetic Algorithm to search for the most likely network topologies by iteratively generating simulated protein phosphorylation data using ODEs and the rewired network and then fitting the simulated data with real data of cancer signalling and cell fate. Most of our predictions are consistent with experimental evidence from literature. Combining the strengths of knowledge-driven and data-driven approaches, our hybrid model can help uncover molecular mechanisms of cancer cell fate at systems level. PMID:25707537

  13. Automation of Technology for Cancer Research.

    PubMed

    van der Ent, Wietske; Veneman, Wouter J; Groenewoud, Arwin; Chen, Lanpeng; Tulotta, Claudia; Hogendoorn, Pancras C W; Spaink, Herman P; Snaar-Jagalska, B Ewa

    2016-01-01

    Zebrafish embryos can be obtained for research purposes in large numbers at low cost and embryos develop externally in limited space, making them highly suitable for high-throughput cancer studies and drug screens. Non-invasive live imaging of various processes within the larvae is possible due to their transparency during development, and a multitude of available fluorescent transgenic reporter lines.To perform high-throughput studies, handling large amounts of embryos and larvae is required. With such high number of individuals, even minute tasks may become time-consuming and arduous. In this chapter, an overview is given of the developments in the automation of various steps of large scale zebrafish cancer research for discovering important cancer pathways and drugs for the treatment of human disease. The focus lies on various tools developed for cancer cell implantation, embryo handling and sorting, microfluidic systems for imaging and drug treatment, and image acquisition and analysis. Examples will be given of employment of these technologies within the fields of toxicology research and cancer research.

  14. Innovative Approaches to Reducing Cancer Health Disparities: The Moffitt Cancer Center Patient Navigator Research Program

    PubMed Central

    Wells, Kristen J.; Meade, Cathy D.; Calcano, Ercilia; Lee, Ji-Hyun; Rivers, Desiree; Roetzheim, Richard G.

    2013-01-01

    The Moffitt Cancer Center Patient Navigation Research Program (Moffitt PNRP) is evaluating the efficacy of patient navigation in reducing delays from screening abnormality to diagnostic resolution of a breast or colorectal abnormality. The Moffitt PNRP was conducted in three phases: (1) developing an acceptable, appealing, and culturally appropriate patient navigation program; (2) conducting a group randomized controlled trial to evaluate the patient navigation program; and (3) disseminating research findings and Moffitt PNRP intervention model. The patient navigation program was developed through significant formative research, input from the Moffitt PNRP Community Advisory Board, and through a close collaboration with the Tampa Bay Community Cancer Network. 1367 patients are enrolled in the Phase 2 group randomized trial of the Moffitt PNRP. Most Moffitt PNRP group randomized trial participants are Hispanic, female, and Spanish speaking, with minimal education and income. The intervention is being disseminated in primary care clinics in west central Florida. PMID:21573740

  15. Nebraska Prostate Cancer Research Program

    DTIC Science & Technology

    2014-10-01

    2008 (1). The purpose of this proposal is to train undergraduate HBCU students from CAU to gain hand-on experience in performing research on PCa, a...award is to train HBCU undergraduate students from CAU to gain hand- on experience in performing PCa research in a research-intensive focus group, the...NUMBER E-Mail: mlin@unmc.edu 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT

  16. Cancer Core Europe: a consortium to address the cancer care-cancer research continuum challenge.

    PubMed

    Eggermont, Alexander M M; Caldas, Carlos; Ringborg, Ulrik; Medema, René; Tabernero, Josep; Wiestler, Otmar

    2014-11-01

    European cancer research for a transformative initiative by creating a consortium of six leading excellent comprehensive cancer centres that will work together to address the cancer care-cancer research continuum. Prerequisites for joint translational and clinical research programs are very demanding. These require the creation of a virtual single 'e-hospital' and a powerful translational platform, inter-compatible clinical molecular profiling laboratories with a robust underlying computational biology pipeline, standardised functional and molecular imaging, commonly agreed Standard Operating Procedures (SOPs) for liquid and tissue biopsy procurement, storage and processing, for molecular diagnostics, 'omics', functional genetics, immune-monitoring and other assessments. Importantly also it requires a culture of data collection and data storage that provides complete longitudinal data sets to allow for: effective data sharing and common database building, and to achieve a level of completeness of data that is required for conducting outcome research, taking into account our current understanding of cancers as communities of evolving clones. Cutting edge basic research and technology development serve as an important driving force for innovative translational and clinical studies. Given the excellent track records of the six participants in these areas, Cancer Core Europe will be able to support the full spectrum of research required to address the cancer research- cancer care continuum. Cancer Core Europe also constitutes a unique environment to train the next generation of talents in innovative translational and clinical oncology.

  17. The immune network in thyroid cancer

    PubMed Central

    Galdiero, Maria Rosaria; Varricchi, Gilda; Marone, Gianni

    2016-01-01

    ABSTRACT The immune system plays critical roles in tumor prevention, but also in its initiation and progression. Tumors are subjected to immunosurveillance, but cancer cells generate an immunosuppressive microenvironment that favors their escape from immune-mediated elimination. During chronic inflammation, immune cells can contribute to the formation and progression of tumors by producing mitogenic, prosurvival, proangiogenic and lymphangiogenic factors. Thyroid cancer is the most frequent type of endocrine neoplasia and is the most rapidly increasing cancer in the US. In this review, we discuss recent findings on how different immune cells and mediators can contribute to thyroid cancer development and progression. PMID:27471646

  18. Reaching Out: IDRC-HDFS Research Network (India). Final Report.

    ERIC Educational Resources Information Center

    Saraswathi, T. S.; And Others

    This report documents the activities of the Research Network, a coordinated effort of the International Development Research Center (IDRC) and the Human Development and Family Studies (HDFS) Department of Baroda University (India) during the period January 1990 to June 1993. The Research Network aimed to establish a network of consultative…

  19. What's New in Esophageal Cancer Research and Treatment?

    MedlinePlus

    ... and Treatment? Esophagus Cancer About Esophagus Cancer What’s New in Cancer of the Esophagus Research and Treatment? ... people with Barrett’s esophagus. This may lead to new tests for finding the people who are likely ...

  20. What's New in Bile Duct Cancer Research and Treatment?

    MedlinePlus

    ... Bile Duct Cancer About Bile Duct Cancer What’s New in Bile Duct Cancer Research and Treatment? Bile ... is tumor blood vessels. Bile duct tumors need new blood vessels to grow beyond a certain size. ...

  1. What's New in Salivary Gland Cancer Research and Treatment?

    MedlinePlus

    ... Salivary Gland Cancer About Salivary Gland Cancer What’s New in Salivary Gland Cancer Research and Treatment? Medical ... they hope to use this information to develop new treatments that work better and cause fewer side ...

  2. What's New in Laryngeal and Hypopharyngeal Cancer Research and Treatment?

    MedlinePlus

    ... Hypopharyngeal Cancer About Laryngeal and Hypopharyngeal Cancer What’s New in Laryngeal and Hypopharyngeal Cancers Research and Treatment? ... to better tests for early detection and to new targeted treatments. Chemoprevention Chemoprevention is the use of ...

  3. What's New in Liver Cancer Research and Treatment?

    MedlinePlus

    ... Liver Cancer About Liver Cancer What's New in Liver Cancer Research and Treatment? Because there are only ... other larger studies before it is widely used. Liver transplant Only a small portion of patients with ...

  4. Translational Research and Plasma Proteomic in Cancer.

    PubMed

    Santini, Annamaria Chiara; Giovane, Giancarlo; Auletta, Adelaide; Di Carlo, Angelina; Fiorelli, Alfonso; Cito, Letizia; Astarita, Carlo; Giordano, Antonio; Alfano, Roberto; Feola, Antonia; Di Domenico, Marina

    2016-04-01

    Proteomics is a recent field of research in molecular biology that can help in the fight against cancer through the search for biomarkers that can detect this disease in the early stages of its development. Proteomic is a speedily growing technology, also thanks to the development of even more sensitive and fast mass spectrometry analysis. Although this technique is the most widespread for the discovery of new cancer biomarkers, it still suffers of a poor sensitivity and insufficient reproducibility, essentially due to the tumor heterogeneity. Common technical shortcomings include limitations in the sensitivity of detecting low abundant biomarkers and possible systematic biases in the observed data. Current research attempts are trying to develop high-resolution proteomic instrumentation for high-throughput monitoring of protein changes that occur in cancer. In this review, we describe the basic features of the proteomic tools which have proven to be useful in cancer research, showing their advantages and disadvantages. The application of these proteomic tools could provide early biomarkers detection in various cancer types and could improve the understanding the mechanisms of tumor growth and dissemination.

  5. Functional and genetic analysis of the colon cancer network.

    PubMed

    Emmert-Streib, Frank; de Matos Simoes, Ricardo; Glazko, Galina; McDade, Simon; Haibe-Kains, Benjamin; Holzinger, Andreas; Dehmer, Matthias; Campbell, Frederick

    2014-01-01

    Cancer is a complex disease that has proven to be difficult to understand on the single-gene level. For this reason a functional elucidation needs to take interactions among genes on a systems-level into account. In this study, we infer a colon cancer network from a large-scale gene expression data set by using the method BC3Net. We provide a structural and a functional analysis of this network and also connect its molecular interaction structure with the chromosomal locations of the genes enabling the definition of cis- and trans-interactions. Furthermore, we investigate the interaction of genes that can be found in close neighborhoods on the chromosomes to gain insight into regulatory mechanisms. To our knowledge this is the first study analyzing the genome-scale colon cancer network.

  6. Institutional shared resources and translational cancer research

    PubMed Central

    De Paoli, Paolo

    2009-01-01

    The development and maintenance of adequate shared infrastructures is considered a major goal for academic centers promoting translational research programs. Among infrastructures favoring translational research, centralized facilities characterized by shared, multidisciplinary use of expensive laboratory instrumentation, or by complex computer hardware and software and/or by high professional skills are necessary to maintain or improve institutional scientific competitiveness. The success or failure of a shared resource program also depends on the choice of appropriate institutional policies and requires an effective institutional governance regarding decisions on staffing, existence and composition of advisory committees, policies and of defined mechanisms of reporting, budgeting and financial support of each resource. Shared Resources represent a widely diffused model to sustain cancer research; in fact, web sites from an impressive number of research Institutes and Universities in the U.S. contain pages dedicated to the SR that have been established in each Center, making a complete view of the situation impossible. However, a nation-wide overview of how Cancer Centers develop SR programs is available on the web site for NCI-designated Cancer Centers in the U.S., while in Europe, information is available for individual Cancer centers. This article will briefly summarize the institutional policies, the organizational needs, the characteristics, scientific aims, and future developments of SRs necessary to develop effective translational research programs in oncology. In fact, the physical build-up of SRs per se is not sufficient for the successful translation of biomedical research. Appropriate policies to improve the academic culture in collaboration, the availability of educational programs for translational investigators, the existence of administrative facilitations for translational research and an efficient organization supporting clinical trial recruitment

  7. Institutional shared resources and translational cancer research.

    PubMed

    De Paoli, Paolo

    2009-06-29

    The development and maintenance of adequate shared infrastructures is considered a major goal for academic centers promoting translational research programs. Among infrastructures favoring translational research, centralized facilities characterized by shared, multidisciplinary use of expensive laboratory instrumentation, or by complex computer hardware and software and/or by high professional skills are necessary to maintain or improve institutional scientific competitiveness. The success or failure of a shared resource program also depends on the choice of appropriate institutional policies and requires an effective institutional governance regarding decisions on staffing, existence and composition of advisory committees, policies and of defined mechanisms of reporting, budgeting and financial support of each resource. Shared Resources represent a widely diffused model to sustain cancer research; in fact, web sites from an impressive number of research Institutes and Universities in the U.S. contain pages dedicated to the SR that have been established in each Center, making a complete view of the situation impossible. However, a nation-wide overview of how Cancer Centers develop SR programs is available on the web site for NCI-designated Cancer Centers in the U.S., while in Europe, information is available for individual Cancer centers. This article will briefly summarize the institutional policies, the organizational needs, the characteristics, scientific aims, and future developments of SRs necessary to develop effective translational research programs in oncology.In fact, the physical build-up of SRs per se is not sufficient for the successful translation of biomedical research. Appropriate policies to improve the academic culture in collaboration, the availability of educational programs for translational investigators, the existence of administrative facilitations for translational research and an efficient organization supporting clinical trial recruitment

  8. A Social Network Analysis of Cancer Provider Collaboration

    PubMed Central

    Steitz, Bryan D.; Levy, Mia A.

    2016-01-01

    Cancer treatment often consists of multiple therapeutic modalities delivered by specialists. As changing reimbursement paradigms move towards quality outcomes and bundled payments, extensive care coordination between healthcare providers is imperative. We developed an approach to quantify care coordination relationships among providers treating breast cancer patients at the Vanderbilt University Medical Center. Our cohort of 1285 providers treated 3924 breast cancer patients, and had 1758 unique provider-provider relationships. Providers treating stage III breast cancer patients had the highest ratio of providers to patients, indicating a more tightly connected network than providers treating stage I or II patients. Network analysis can provide quantitative approaches to understanding the relationships of multi-specialty providers and may inform approaches to measuring the impact of care coordination on outcomes. PMID:28269958

  9. The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks.

    PubMed

    Emmert-Streib, Frank; de Matos Simoes, Ricardo; Mullan, Paul; Haibe-Kains, Benjamin; Dehmer, Matthias

    2014-01-01

    In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net inference algorithm to a large-scale gene expression data set consisting of 351 patient samples. In order to elucidate the functional relevance of the inferred network, we are performing a Gene Ontology (GO) analysis for its structural components. Our analysis reveals that most significant GO-terms we find for the breast cancer network represent functional modules of biological processes that are described by known cancer hallmarks, including translation, immune response, cell cycle, organelle fission, mitosis, cell adhesion, RNA processing, RNA splicing and response to wounding. Furthermore, by using a curated list of census cancer genes, we find an enrichment in these functional modules. Finally, we study cooperative effects of chromosomes based on information of interacting genes in the beast cancer network. We find that chromosome 21 is most coactive with other chromosomes. To our knowledge this is the first study investigating the genome-scale breast cancer network.

  10. Assessing needs and assets for building a regional network infrastructure to reduce cancer related health disparities.

    PubMed

    Wells, Kristen J; Lima, Diana S; Meade, Cathy D; Muñoz-Antonia, Teresita; Scarinci, Isabel; McGuire, Allison; Gwede, Clement K; Pledger, W Jack; Partridge, Edward; Lipscomb, Joseph; Matthews, Roland; Matta, Jaime; Flores, Idhaliz; Weiner, Roy; Turner, Timothy; Miele, Lucio; Wiese, Thomas E; Fouad, Mona; Moreno, Carlos S; Lacey, Michelle; Christie, Debra W; Price-Haywood, Eboni G; Quinn, Gwendolyn P; Coppola, Domenico; Sodeke, Stephen O; Green, B Lee; Lichtveld, Maureen Y

    2014-06-01

    Significant cancer health disparities exist in the United States and Puerto Rico. While numerous initiatives have been implemented to reduce cancer disparities, regional coordination of these efforts between institutions is often limited. To address cancer health disparities nation-wide, a series of regional transdisciplinary networks through the Geographic Management Program (GMaP) and the Minority Biospecimen/Biobanking Geographic Management Program (BMaP) were established in six regions across the country. This paper describes the development of the Region 3 GMaP/BMaP network composed of over 100 investigators from nine institutions in five Southeastern states and Puerto Rico to develop a state-of-the-art network for cancer health disparities research and training. We describe a series of partnership activities that led to the formation of the infrastructure for this network, recount the participatory processes utilized to develop and implement a needs and assets assessment and implementation plan, and describe our approach to data collection. Completion, by all nine institutions, of the needs and assets assessment resulted in several beneficial outcomes for Region 3 GMaP/BMaP. This network entails ongoing commitment from the institutions and institutional leaders, continuous participatory and engagement activities, and effective coordination and communication centered on team science goals.

  11. Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets

    PubMed Central

    2012-01-01

    of proteins encoded by the 10 highest-confidence target genes, and by 15 genes with differential regulation in normal and cancer conditions, reveals 75% to be potential drug targets. Conclusions Our study represents a concrete application of gene regulatory network inference to ovarian cancer, demonstrating the complete cycle of computational systems biology research, from genome-scale data analysis via network inference, evaluation of methods, to the generation of novel testable hypotheses, their prioritization for experimental validation, and discovery of potential drug targets. PMID:22548828

  12. Isotope Cancer Treatment Research at LANL

    ScienceCinema

    Weidner, John; Nortier, Meiring

    2016-07-12

    Los Alamos National Laboratory has produced medical isotopes for diagnostic and imaging purposes for more than 30 years. Now LANL researchers have branched out into isotope cancer treatment studies. New results show that an accelerator-based approach can produce clinical trial quantities of actinium-225, an isotope that has promise as a way to kill tumors without damaging surrounding healthy cells.

  13. Isotope Cancer Treatment Research at LANL

    SciTech Connect

    Weidner, John; Nortier, Meiring

    2012-04-11

    Los Alamos National Laboratory has produced medical isotopes for diagnostic and imaging purposes for more than 30 years. Now LANL researchers have branched out into isotope cancer treatment studies. New results show that an accelerator-based approach can produce clinical trial quantities of actinium-225, an isotope that has promise as a way to kill tumors without damaging surrounding healthy cells.

  14. Hierarchical Decimal Classification of Information Related to Cancer Research.

    ERIC Educational Resources Information Center

    Schneider, John H.

    The classification may be used (1) to identify cancer research efforts supported by NCI in selected areas of research (at any general or specific level desired), (2) to store information related to cancer research and retrieve this information on request, and (3) to match interests of cancer research scientists against information in published…

  15. Transcriptional master regulator analysis in breast cancer genetic networks.

    PubMed

    Tovar, Hugo; García-Herrera, Rodrigo; Espinal-Enríquez, Jesús; Hernández-Lemus, Enrique

    2015-12-01

    Gene regulatory networks account for the delicate mechanisms that control gene expression. Under certain circumstances, gene regulatory programs may give rise to amplification cascades. Such transcriptional cascades are events in which activation of key-responsive transcription factors called master regulators trigger a series of gene expression events. The action of transcriptional master regulators is then important for the establishment of certain programs like cell development and differentiation. However, such cascades have also been related with the onset and maintenance of cancer phenotypes. Here we present a systematic implementation of a series of algorithms aimed at the inference of a gene regulatory network and analysis of transcriptional master regulators in the context of primary breast cancer cells. Such studies were performed in a highly curated database of 880 microarray gene expression experiments on biopsy-captured tissue corresponding to primary breast cancer and healthy controls. Biological function and biochemical pathway enrichment analyses were also performed to study the role that the processes controlled - at the transcriptional level - by such master regulators may have in relation to primary breast cancer. We found that transcription factors such as AGTR2, ZNF132, TFDP3 and others are master regulators in this gene regulatory network. Sets of genes controlled by these regulators are involved in processes that are well-known hallmarks of cancer. This kind of analyses may help to understand the most upstream events in the development of phenotypes, in particular, those regarding cancer biology.

  16. Profiling metabolic networks to study cancer metabolism.

    PubMed

    Hiller, Karsten; Metallo, Christian M

    2013-02-01

    Cancer is a disease of unregulated cell growth and survival, and tumors reprogram biochemical pathways to aid these processes. New capabilities in the computational and bioanalytical characterization of metabolism have now emerged, facilitating the identification of unique metabolic dependencies that arise in specific cancers. By understanding the metabolic phenotype of cancers as a function of their oncogenic profiles, metabolic engineering may be applied to design synthetically lethal therapies for some tumors. This process begins with accurate measurement of metabolic fluxes. Here we review advanced methods of quantifying pathway activity and highlight specific examples where these approaches have uncovered potential opportunities for therapeutic intervention.

  17. Research on 6R Military Logistics Network

    NASA Astrophysics Data System (ADS)

    Jie, Wan; Wen, Wang

    The building of military logistics network is an important issue for the construction of new forces. This paper has thrown out a concept model of 6R military logistics network model based on JIT. Then we conceive of axis spoke y logistics centers network, flexible 6R organizational network, lean 6R military information network based grid. And then the strategy and proposal for the construction of the three sub networks of 6Rmilitary logistics network are given.

  18. Network medicine strikes a blow against breast cancer.

    PubMed

    Erler, Janine T; Linding, Rune

    2012-05-11

    Drug development for complex diseases is shifting from targeting individual proteins or genes to systems-based attacks targeting dynamic network states. Lee et al. now reveal how the progressive rewiring of a signaling network over time following EGF receptor inhibition leaves triple-negative breast tumors vulnerable to a second, later hit with DNA-damaging drugs, demonstrating that time- and order-dependent drug combinations can be more efficacious in killing cancer cells.

  19. CPTAC-EDRN Joint Session - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute (NCI)’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the Early Detection Research Network (EDRN) will host a session during the 9th US-HUPO annual conference entitled “Highlights from NCI Proteomic Research Programs.”

  20. Learning contextual gene set interaction networks of cancer with condition specificity

    PubMed Central

    2013-01-01

    Background Identifying similarities and differences in the molecular constitutions of various types of cancer is one of the key challenges in cancer research. The appearances of a cancer depend on complex molecular interactions, including gene regulatory networks and gene-environment interactions. This complexity makes it challenging to decipher the molecular origin of the cancer. In recent years, many studies reported methods to uncover heterogeneous depictions of complex cancers, which are often categorized into different subtypes. The challenge is to identify diverse molecular contexts within a cancer, to relate them to different subtypes, and to learn underlying molecular interactions specific to molecular contexts so that we can recommend context-specific treatment to patients. Results In this study, we describe a novel method to discern molecular interactions specific to certain molecular contexts. Unlike conventional approaches to build modular networks of individual genes, our focus is to identify cancer-generic and subtype-specific interactions between contextual gene sets, of which each gene set share coherent transcriptional patterns across a subset of samples, termed contextual gene set. We then apply a novel formulation for quantitating the effect of the samples from each subtype on the calculated strength of interactions observed. Two cancer data sets were analyzed to support the validity of condition-specificity of identified interactions. When compared to an existing approach, the proposed method was much more sensitive in identifying condition-specific interactions even in heterogeneous data set. The results also revealed that network components specific to different types of cancer are related to different biological functions than cancer-generic network components. We found not only the results that are consistent with previous studies, but also new hypotheses on the biological mechanisms specific to certain cancer types that warrant further

  1. Why is Physics Important to Cancer Research?

    NASA Astrophysics Data System (ADS)

    Barker, Anna D.

    Cancer is increasingly described as a ''disease of the genes'', and while the genome (in fact all of the ``omes'') are important information molecules that drive aspects of the initiation and progression of cancer, they are far from the whole story. Cancer is an extraordinarily complex system (in fact a complex of systems) that occurs in three-dimensional space, across multiple scales - and often over extended periods of time. The most challenging issues that plague the cancer field such as metastasis, cellular heterogeneity and resistance to therapy are in large part more rationally explained in the context of the physics of these systems vs. genomics. For example, the biology of metastasis has been studied extensively for decades with little progress. Metastatic disease depends on cells acquiring (or expressing innate information) new properties that enable and sustain their ability to migrate to distant sites. Developing a fundamental understanding of key cancer processes ranging from metastasis to immunotherapeutic responses requires that physicists (and mathematicians and engineers) be integrated into a new generation of cancer research - period! The presentation will focus on those areas where physics is essential - and the how's and whose of achieving the integration required.

  2. Imaging genome abnormalities in cancer research.

    PubMed

    Heng, Henry HQ; Stevens, Joshua B; Liu, Guo; Bremer, Steven W; Ye, Christine J

    2004-01-13

    Increasing attention is focusing on chromosomal and genome structure in cancer research due to the fact that genomic instability plays a principal role in cancer initiation, progression and response to chemotherapeutic agents. The integrity of the genome (including structural, behavioral and functional aspects) of normal and cancer cells can be monitored with direct visualization by using a variety of cutting edge molecular cytogenetic technologies that are now available in the field of cancer research. Examples are presented in this review by grouping these methodologies into four categories visualizing different yet closely related major levels of genome structures. An integrated discussion is also presented on several ongoing projects involving the illustration of mitotic and meiotic chromatin loops; the identification of defective mitotic figures (DMF), a new type of chromosomal aberration capable of monitoring condensation defects in cancer; the establishment of a method that uses Non-Clonal Chromosomal Aberrations (NCCAs) as an index to monitor genomic instability; and the characterization of apoptosis related chromosomal fragmentations caused by drug treatments.

  3. Testicular Cancer Survivorship: Research Strategies and Recommendations

    PubMed Central

    Beard, Clair; Allan, James M.; Dahl, Alv A.; Feldman, Darren R.; Oldenburg, Jan; Daugaard, Gedske; Kelly, Jennifer L.; Dolan, M. Eileen; Hannigan, Robyn; Constine, Louis S.; Oeffinger, Kevin C.; Okunieff, Paul; Armstrong, Greg; Wiljer, David; Miller, Robert C.; Gietema, Jourik A.; van Leeuwen, Flora E.; Williams, Jacqueline P.; Nichols, Craig R.; Einhorn, Lawrence H.; Fossa, Sophie D.

    2010-01-01

    Testicular cancer represents the most curable solid tumor, with a 10-year survival rate of more than 95%. Given the young average age at diagnosis, it is estimated that effective treatment approaches, in particular, platinum-based chemotherapy, have resulted in an average gain of several decades of life. This success, however, is offset by the emergence of considerable long-term morbidity, including second malignant neoplasms, cardiovascular disease, neurotoxicity, nephrotoxicity, pulmonary toxicity, hypogonadism, decreased fertility, and psychosocial problems. Data on underlying genetic or molecular factors that might identify those patients at highest risk for late sequelae are sparse. Genome-wide association studies and other translational molecular approaches now provide opportunities to identify testicular cancer survivors at greatest risk for therapy-related complications to develop evidence-based long-term follow-up guidelines and interventional strategies. We review research priorities identified during an international workshop devoted to testicular cancer survivors. Recommendations include 1) institution of lifelong follow-up of testicular cancer survivors within a large cohort setting to ascertain risks of emerging toxicities and the evolution of known late sequelae, 2) development of comprehensive risk prediction models that include treatment factors and genetic modifiers of late sequelae, 3) elucidation of the effect(s) of decades-long exposure to low serum levels of platinum, 4) assessment of the overall burden of medical and psychosocial morbidity, and 5) the eventual formulation of evidence-based long-term follow-up guidelines and interventions. Just as testicular cancer once served as the paradigm of a curable malignancy, comprehensive follow-up studies of testicular cancer survivors can pioneer new methodologies in survivorship research for all adult-onset cancer. PMID:20585105

  4. Global Networking of Cancer and NCD professionals using internet technologies: the Supercourse and mHealth applications.

    PubMed

    Linkov, Faina; Padilla, Nicolas; Shubnikov, Eugene; Laporte, Ronald

    2010-11-01

    Cancer is a leading cause of death around the world. Education is at the core of cancer prevention activities, especially programs targeting empowering existing public health workforce. In the past 10 years, researchers at the University of Pittsburgh have been building the Global Health Network Supercourse project, a library of over 4500 online lectures and a network of nearly 50000 public health professionals in 174 countries. As of November, 2010, the overall number of Supercourse participants from Asia exceeds 7000 participants. The Supercourse network has been investigating methods for Internet based recruitment of cancer prevention professionals in order to network cancer experts locally and globally, including the use of mHealth technologies for cancer research education and for NCD registries. Supercourse is a tool that can offer a solution to the challenges of information sharing, especially in the field of NCDs and cancer. In this paper, we highlight the need for the development of Cancer Supercourse with Satellite in Asia and encourage faculty members from Asia to join the network.

  5. Cancer Intervention and Surveillance Modeling Network (CISNET)

    Cancer.gov

    CISNET is a consortium of NCI-sponsored investigators that use statistical modeling to improve our understanding of cancer control interventions in prevention, screening, and treatment and their effects on population trends in incidence and mortality.

  6. Nebraska Prostate Cancer Research Program

    DTIC Science & Technology

    2011-05-01

    1. Brittany T. Jones, Poomy Pandey, Srustidhar Das and Surinder K. Batra. (2010) Therapeutic Potential of Curcumin : Inhibition of MIC-1/GDF-15...else has every thought. She’s currently working in Dr. Surinder K. Batra’s lab, where her research project is to monitor "What effect do Curcumin ...project is supported in part by DOD PC094594 and NCI CA88184.) Brittany Jones – Abstract Therapeutic Potential of Curcumin : Inhibition of MIC-1/GDF-15

  7. Ubiquitin proteasome system research in gastrointestinal cancer

    PubMed Central

    Zhong, Jia-Ling; Huang, Chang-Zhi

    2016-01-01

    The ubiquitin proteasome system (UPS) is important for the degradation of proteins in eukaryotic cells. It is involved in nearly every cellular process and plays an important role in maintaining body homeostasis. An increasing body of evidence has linked alterations in the UPS to gastrointestinal malignancies, including esophageal, gastric and colorectal cancers. Here, we summarize the current literature detailing the involvement of the UPS in gastrointestinal cancer, highlighting its role in tumor occurrence and development, providing information for therapeutic targets research and anti-gastrointestinal tumor drug design. PMID:26909134

  8. Ubiquitin proteasome system research in gastrointestinal cancer.

    PubMed

    Zhong, Jia-Ling; Huang, Chang-Zhi

    2016-02-15

    The ubiquitin proteasome system (UPS) is important for the degradation of proteins in eukaryotic cells. It is involved in nearly every cellular process and plays an important role in maintaining body homeostasis. An increasing body of evidence has linked alterations in the UPS to gastrointestinal malignancies, including esophageal, gastric and colorectal cancers. Here, we summarize the current literature detailing the involvement of the UPS in gastrointestinal cancer, highlighting its role in tumor occurrence and development, providing information for therapeutic targets research and anti-gastrointestinal tumor drug design.

  9. USING SOCIAL NETWORK ANALYSIS TO EVALUATE COMMUNITY CAPACITY BUILDING OF A REGIONAL COMMUNITY CANCER NETWORK

    PubMed Central

    Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

    2013-01-01

    The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute’s (NCI’s) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to reduce cancer health disparities. In order to describe the network characteristics of the TBCCN as part of our ongoing evaluation efforts, we conducted social network analysis surveys with our community partners in 2007 and 2008. One key finding showed that the mean trust value for the 20 community partners in the study increased from 1.8 to 2.1 (p<0.01), suggesting a trend toward increased trust in the network. These preliminary results suggest that TBCCN has led to greater collaboration among the community partners that were formed through its capacity-building and evidence-based dissemination activities for impacting cancer health disparities at the community level. PMID:24049217

  10. Creating Community–Academic Partnerships for Cancer Disparities Research and Health Promotion

    PubMed Central

    Meade, Cathy D.; Menard, Janelle M.; Luque, John S.; Martinez-Tyson, Dinorah; Gwede, Clement K.

    2010-01-01

    To effectively attenuate cancer disparities in multiethnic, medically underserved populations, interventions must be developed collaboratively through solid community–academic partnerships and driven by community-based participatory research (CBPR). The Tampa Bay Community Cancer Network (TBCCN) has been created to identify and implement interventions to address local cancer disparities in partnership with community-based nonprofit organizations, faith-based groups, community health centers, local media, and adult literacy and education organizations. TBCCN activities and research efforts are geared toward addressing critical information and access issues related to cancer control and prevention in diverse communities in the Tampa Bay area. Such efforts include cross-cultural health promotion, screening, and awareness activities in addition to applied research projects that are rooted in communities and guided by CBPR methods. This article describes these activities as examples of partnership building to positively affect cancer disparities, promote community health, and set the stage for community-based research partnerships. PMID:19822724

  11. Requirements for data integration platforms in biomedical research networks: a reference model

    PubMed Central

    Knaup, Petra

    2015-01-01

    Biomedical research networks need to integrate research data among their members and with external partners. To support such data sharing activities, an adequate information technology infrastructure is necessary. To facilitate the establishment of such an infrastructure, we developed a reference model for the requirements. The reference model consists of five reference goals and 15 reference requirements. Using the Unified Modeling Language, the goals and requirements are set into relation to each other. In addition, all goals and requirements are described textually in tables. This reference model can be used by research networks as a basis for a resource efficient acquisition of their project specific requirements. Furthermore, a concrete instance of the reference model is described for a research network on liver cancer. The reference model is transferred into a requirements model of the specific network. Based on this concrete requirements model, a service-oriented information technology architecture is derived and also described in this paper. PMID:25699205

  12. Cranberries: ripe for more cancer research?

    PubMed

    Neto, Catherine C

    2011-10-01

    Berries have been recognized as a functional food with potential to protect against a variety of health conditions, including some cancers. Cranberry (Vaccinium macrocarpon) production and consumption have grown in recent years, warranting further evaluation of potential health benefits. Extracts and isolated constituents from cranberry fruit inhibit growth and proliferation of tumor cells in vitro, and recent data from animal studies lend further support to cranberry's reputation as a cancer fighter. Several likely mechanisms of action for cranberry against prostate and other cancers have been identified, including induction of apoptosis and inhibition of events linked to cellular invasion and migration. This article attempts to put into perspective what is known about cranberry's potential chemopreventive properties, what is yet to be determined, and some factors to consider as research moves forward.

  13. Applications of Genetic Programming in Cancer Research

    PubMed Central

    Worzel, William P.; Yu, Jianjun; Almal, Arpit A.; Chinnaiyan, Arul M.

    2012-01-01

    The theory of Darwinian evolution is the fundamental keystones of modern biology. Late in the last century, computer scientists began adapting its principles, in particular natural selection, to complex computational challenges, leading to the emergence of evolutionary algorithms. The conceptual model of selective pressure and recombination in evolutionary algorithms allows scientists to efficiently search high dimensional space for solutions to complex problems. In the last decade, genetic programming has been developed and extensively applied for analysis of molecular data to classify cancer subtypes and characterize the mechanisms of cancer pathogenesis and development. This article reviews current successes using genetic programming and discusses its potential impact in cancer research and treatment in the near future. PMID:18929677

  14. Applications of genetic programming in cancer research.

    PubMed

    Worzel, William P; Yu, Jianjun; Almal, Arpit A; Chinnaiyan, Arul M

    2009-02-01

    The theory of Darwinian evolution is the fundamental keystones of modern biology. Late in the last century, computer scientists began adapting its principles, in particular natural selection, to complex computational challenges, leading to the emergence of evolutionary algorithms. The conceptual model of selective pressure and recombination in evolutionary algorithms allow scientists to efficiently search high dimensional space for solutions to complex problems. In the last decade, genetic programming has been developed and extensively applied for analysis of molecular data to classify cancer subtypes and characterize the mechanisms of cancer pathogenesis and development. This article reviews current successes using genetic programming and discusses its potential impact in cancer research and treatment in the near future.

  15. [Markers of prostate cancer stem cells: research advances].

    PubMed

    Wang, Shun-Qi; Huang, Sheng-Song

    2013-12-01

    Prostate cancer is one of the most seriously malignant diseases threatening men's health, and the mechanisms of its initiation and progression are not yet completely understood. Recent years have witnessed distinct advances in researches on prostate cancer stem cells in many aspects using different sources of materials, such as human prostate cancer tissues, human prostate cancer cell lines, and mouse models of prostate cancer. Prostate cancer stem cell study offers a new insight into the mechanisms of the initiation and progression of prostate cancer and contributes positively to its treatment. This article presents an overview on the prostate cancer stem cell markers utilized in the isolation and identification of prostate cancer stem cells.

  16. The Greater Plains Collaborative: a PCORnet Clinical Research Data Network.

    PubMed

    Waitman, Lemuel R; Aaronson, Lauren S; Nadkarni, Prakash M; Connolly, Daniel W; Campbell, James R

    2014-01-01

    The Greater Plains Collaborative (GPC) is composed of 10 leading medical centers repurposing the research programs and informatics infrastructures developed through Clinical and Translational Science Award initiatives. Partners are the University of Kansas Medical Center, Children's Mercy Hospital, University of Iowa Healthcare, the University of Wisconsin-Madison, the Medical College of Wisconsin and Marshfield Clinic, the University of Minnesota Academic Health Center, the University of Nebraska Medical Center, the University of Texas Health Sciences Center at San Antonio, and the University of Texas Southwestern Medical Center. The GPC network brings together a diverse population of 10 million people across 1300 miles covering seven states with a combined area of 679 159 square miles. Using input from community members, breast cancer was selected as a focus for cohort building activities. In addition to a high-prevalence disorder, we also selected a rare disease, amyotrophic lateral sclerosis.

  17. [Advances in Research on miR-21 and Breast Cancer].

    PubMed

    Zhang, He; Zhang, Yulong; Zou, Linglin

    2015-06-01

    Breast cancer is a malignant tumor from normal breast epithelial. In recent years, many literature reports sought to determine the expression of predicted target genes of microRNA and their potential function, pathways and networks, which are involved in the tumorigenesis, metastasis and prognosis of breast cancer. The miR-21 has recently been found to be highly expressed in solid tumors than normal tissue, and it has exposed some layers of gene expression regulation that becomes a hot topic of breast cancer. This paper briefly reviews advances in research on miR-21 in breast cancer.

  18. Connecting the Dots: Understanding the Flow of Research Knowledge within a Research Brokering Network

    ERIC Educational Resources Information Center

    Rodway, Joelle

    2015-01-01

    Networks are frequently cited as an important knowledge mobilization strategy; however, there is little empirical research that considers how they connect research and practice. Taking a social network perspective, I explore how central office personnel find, understand and share research knowledge within a research brokering network. This mixed…

  19. Establishment of the Fox Chase Network Breast Cancer Risk Registry.

    DTIC Science & Technology

    1998-10-01

    basic, clinical, epidemiological, behavioral and bioethical research needs to be done. B. Purpose The ability to systematically study the diverse...sensitive to cultural , ethnic and racial differences which will promote positive outcomes to breast cancer risk information, including the results of...interventions which are sensitive to cultural , ethnic and racial differences, which will promote positive outcomes to breast cancer risk information

  20. About the Lung and Upper Aerodigestive Cancer Research Group | Division of Cancer Prevention

    Cancer.gov

    The Lung and Upper Aerodigestive Cancer Research Group conducts and supports research on the prevention and early detection of lung and head and neck cancers, as well as new approaches to clinical prevention studies including cancer immunoprevention.Phase 0/I/II Cancer Prevention Clinical Trials ProgramThe group jointly administers the Phase 0/I/II Cancer Prevention Clinical Trials Program evaluating new agents, surrogate biomarkers, and technologies to identify premalignant lesions, and related cancers.  |

  1. Key concerns about the current state of bladder cancer: a position paper from the Bladder Cancer Think Tank, the Bladder Cancer Advocacy Network, and the Society of Urologic Oncology.

    PubMed

    Lotan, Yair; Kamat, Ashish M; Porter, Michael P; Robinson, Victoria L; Shore, Neal; Jewett, Michael; Schelhammer, Paul F; deVere White, Ralph; Quale, Diane; Lee, Cheryl T

    2009-09-15

    Bladder cancer is the fifth most common cancer in the United States and, on a per capita basis, is the most expensive cancer from diagnosis to death. Unfortunately, National Cancer Institute funding for bladder cancer is quite low when compared with other common malignancies. Limited funding has stifled research opportunities for new and established investigators, ultimately encouraging them to redirect research efforts to other organ sites. Waning interest of scientists has further fueled the cycle of modest funding for bladder cancer. One important consequence of this has been a lack of scientific advancement in the field. Patient advocates have decidedly advanced research efforts in many cancer sites. Breast, prostate, pancreatic, and ovarian cancer advocates have organized highly successful campaigns to lobby the federal government and the medical community to devote increased attention and funding to understudied malignancies and to conduct relevant studies to better understand the therapy, diagnosis, and prevention of these diseases. Bladder cancer survivors have lacked a coordinated advocacy voice until recently. A concerted effort to align bladder cancer advocates, clinicians, and urologic organizations is essential to define the greatest needs in bladder cancer and to develop related solutions. This position paper represents a collaborative discussion to define the most concerning trends and greatest needs in the field of bladder cancer as outlined by the Bladder Cancer Think Tank, the Bladder Cancer Advocacy Network, and the Society of Urologic Oncology.

  2. The APA and the rise of pediatric generalist network research.

    PubMed

    Wasserman, Richard; Serwint, Janet R; Kuppermann, Nathan; Srivastava, Rajendu; Dreyer, Benard

    2011-01-01

    The Academic Pediatric Association (APA, formerly the Ambulatory Pediatric Association) first encouraged multi-institutional collaborative research among its members over 30 years ago. Individual APA members subsequently went on to figure prominently in establishing formal research networks. These enduring collaborations have been established to conduct investigations in a variety of generalist contexts. At present, 4 generalist networks--Pediatric Research in Office Settings (PROS), the Pediatric Emergency Care Applied Research Network (PECARN), the COntinuity Research NETwork (CORNET), and Pediatric Research in Inpatient Settings (PRIS)--have a track record of extensive achievement in generating new knowledge aimed at improving the health and health care of children. This review details the history, accomplishments, and future directions of these networks and summarizes the common themes, strengths, challenges, and opportunities inherent in pediatric generalist network research.

  3. Vulnerability of Permafrost Carbon Research Coordination Network

    NASA Astrophysics Data System (ADS)

    Schuur, E. A.; McGuire, A. D.; Canadell, J.; Harden, J. W.; Kuhry, P.; Romanovsky, V. E.; Turetsky, M. R.; Schädel, C.

    2011-12-01

    Approximately 1700 Pg (billion tons) of soil carbon are stored in the northern circumpolar permafrost zone, more than twice as much carbon than currently contained in the atmosphere. Permafrost thaw, and the microbial decomposition of previously frozen organic carbon, is considered one of the most likely positive feedbacks from terrestrial ecosystems to the atmosphere in a warmer world. Yet, the rate and form of release is highly uncertain but crucial for predicting the strength and timing of this carbon cycle feedback this century and beyond. Here we report on the formation of a new research coordination network (RCN) whose objective is to link biological C cycle research with well-developed networks in the physical sciences focused on the thermal state of permafrost. We found that published literature in the Science Citation Index identified with the search terms 'permafrost' and 'carbon' have increased dramatically in the last decade. Of total publications including those keywords, 86% were published since 2000, 65% since 2005, and 36% since 2008. Interconnection through this RCN is designed to produce new knowledge through research synthesis that can be used to quantify the role of permafrost carbon in driving climate change in the 21st century and beyond. An expert elicitation conducted as part of the RCN activities revealed that the total effect of carbon release from permafrost zone soils on climate is expected to be up to 30-46 Pg C over the next three decades, reaching 242-324 Pg C by 2100 and potentially up to 551-710 Pg C over the next several centuries under the strongest warming scenario presented to the group. These values, expressed in billions of tons of C in CO2 equivalents, combine the effect of C released both as CO2 and as CH4 by accounting for the greater heat-trapping capacity of CH4. Much of the actual C release by weight is expected to be in the form of CO2, with only about 3.5% of that in the form of CH4. However, the higher global warming

  4. Design The Cervical Cancer Detector Use The Artificial Neural Network

    NASA Astrophysics Data System (ADS)

    Intan Af'idah, Dwi; Didik Widianto, Eko; Setyawan, Budi

    2013-06-01

    Cancer is one of the contagious diseases that become a public health issue, both in the world and in Indonesia. In the world, 12% of all deaths caused by cancer and is the second killer after cardiovascular disease. Early detection using the IVA is a practical and inexpensive (only requiring acetic acid). However, the accuracy of the method is quite low, as it can not detect the stage of the cancer. While other methods have a better sensitivity than the IVA method, is a method of PAP smear. However, this method is relatively expensive, and requires an experienced pathologist-cytologist. According to the case above, Considered important to make the cancer cervics detector that is used to detect the abnormality and cervical cancer stage and consists of a digital microscope, as well as a computer application based on artificial neural network. The use of cervical cancer detector software and hardware are integrated each other. After the specifications met, the steps to design the cervical cancer detection are: Modifying a conventional microscope by adding a lens, image recording, and the lights, Programming the tools, designing computer applications, Programming features abnormality detection and staging of cancer.

  5. Transcriptional network of androgen receptor in prostate cancer progression.

    PubMed

    Takayama, Ken-ichi; Inoue, Satoshi

    2013-08-01

    The androgen receptor belongs to the nuclear receptor superfamily and functions as a ligand-dependent transcription factor. It binds to the androgen responsive element and recruits coregulatory factors to modulate gene transcription. In addition, the androgen receptor interacts with other transcription factors, such as forkhead box A1, and other oncogenic signaling pathway molecules that bind deoxyribonucleic acid and regulate transcription. Androgen receptor signaling plays an important role in the development of prostate cancer. Prostate cancer cells proliferate in an androgen-dependent manner, and androgen receptor blockade is effective in prostate cancer therapy. However, patients often progress to castration-resistant prostate cancer with elevated androgen receptor expression and hypersensitivity to androgen. Recently, comprehensive analysis tools, such as complementary DNA microarray, chromatin immunoprecipitation-on-chip and chromatin immunoprecipitation-sequence, have described the androgen-mediated diverse transcriptional program and gene networks in prostate cancer. Furthermore, functional and clinical studies have shown that some of the androgen receptor-regulated genes could be prognostic markers and potential therapeutic targets for the treatment of prostate cancer, particularly castration-resistant prostate cancer. Thus, identifying androgen receptor downstream signaling events and investigating the regulation of androgen receptor activity is critical for understanding the mechanism of carcinogenesis and progression to castration-resistant prostate cancer.

  6. Action Research Networks: Role and Purpose in the Evaluation of Research Outcomes and Impacts

    ERIC Educational Resources Information Center

    Zornes, Deborah; Ferkins, Lesley; Piggot-Irvine, Eileen

    2016-01-01

    The focus of this paper is to share thinking about networks in action research (AR) and to consider their role, purpose, and how networks' outcomes and impacts might be evaluated. Networks are often a by-product of AR projects, yet research focused on the network itself as part of a project is rare. The paper is one of several associated with the…

  7. Recent Themes in Social Networking Service Research

    PubMed Central

    Liu, John S.; Ho, Mei Hsiu-Ching; Lu, Louis Y. Y.

    2017-01-01

    The body of literature addressing the phenomenon related to social networking services (SNSs) has grown rather fast recently. Through a systematic and quantitative approach, this study identifies the recent SNS research themes, which are the issues discussed by a coherent and growing subset of this literature. A set of academic articles retrieved from the Web of Science database is used as the basis for uncovering the recent themes. We begin the analysis by constructing a citation network which is further separated into groups after applying a widely used clustering method. The resulting clusters all consist of articles coherent in citation relationships. This study suggests eight fast growing recent themes. They span widely encompassing politics, romantic relationships, public relations, journalism, and health. Among them, four focus their issues largely on Twitter, three on Facebook, and one generally on both. While discussions on traditional issues in SNSs such as personality, motivations, self-disclosure, narcissism, etc. continue to lead the pack, the proliferation of the highlighted recent themes in the near future is very likely to happen. PMID:28107541

  8. Summer Student Breast Cancer Research Training Program

    DTIC Science & Technology

    2006-05-01

    AD_________________ Award Number: DAMD17-03- 1 -0338 TITLE: Summer Student Breast Cancer Research...average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and...currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1 . REPORT DATE 01-05-2006 2. REPORT TYPE Annual

  9. Summer Student Breast Cancer Research Training Program

    DTIC Science & Technology

    2005-05-01

    AD( Award Number: DAMD17-03- 1 -0338 TITLE: Summer Student Breast Cancer Research Training Program PRINCIPAL INVESTIGATOR: Gary P. Zaloga, M.D...PAGE .OM No. 07Ap0o88 Public reporting burden for this collection of information is estimated to average 1 hour per responsb, including the time for...VA 22202-4302, and t6 the Office of Management and Budget, Paperwork Reduction Project (0704-0188), Washington, DC 20503 1 . AGENCY USE ONLY 2. REPORT

  10. Endogenous molecular network reveals two mechanisms of heterogeneity within gastric cancer

    PubMed Central

    Li, Site; Zhu, Xiaomei; Liu, Bingya; Wang, Gaowei; Ao, Ping

    2015-01-01

    Intratumor heterogeneity is a common phenomenon and impedes cancer therapy and research. Gastric cancer (GC) cells have generally been classified into two heterogeneous cellular phenotypes, the gastric and intestinal types, yet the mechanisms of maintaining two phenotypes and controlling phenotypic transition are largely unknown. A qualitative systematic framework, the endogenous molecular network hypothesis, has recently been proposed to understand cancer genesis and progression. Here, a minimal network corresponding to such framework was found for GC and was quantified via a stochastic nonlinear dynamical system. We then further extended the framework to address the important question of intratumor heterogeneity quantitatively. The working network characterized main known features of normal gastric epithelial and GC cell phenotypes. Our results demonstrated that four positive feedback loops in the network are critical for GC cell phenotypes. Moreover, two mechanisms that contribute to GC cell heterogeneity were identified: particular positive feedback loops are responsible for the maintenance of intestinal and gastric phenotypes; GC cell progression routes that were revealed by the dynamical behaviors of individual key components are heterogeneous. In this work, we constructed an endogenous molecular network of GC that can be expanded in the future and would broaden the known mechanisms of intratumor heterogeneity. PMID:25962957

  11. Cancer carve outs, specialty networks, and disease management: a review of their evolution, effectiveness, and prognosis.

    PubMed

    Kurowski, B

    1998-06-25

    Specialty care programs for patients with cancer were among the first to be developed, yet they have been some of the slowest to grow or to demonstrate success. This paper reviews the evolution of cancer carve outs, disease management, and specialty networks by distinguishing purchasers from sellers on key attributes. It also describes financing and operational impediments to their growth and summarizes what little published data there is documenting the success of these programs. The paper analyzes the critical factors impeding the development of these cancer programs, and discusses the public policy changes and health services research that will need to be conducted before the performance and market influence of cancer carve outs will reach their full potential.

  12. The APA and the Rise of Pediatric Generalist Network Research

    PubMed Central

    Wasserman, Richard; Serwint, Janet R.; Kuppermann, Nathan; Srivastava, Rajendu; Dreyer, Benard

    2010-01-01

    The Academic Pediatric Association (APA – formerly the Ambulatory Pediatric Association) first encouraged multi-institutional collaborative research among its members over thirty years ago. Individual APA members went on subsequently to figure prominently in establishing formal research networks. These enduring collaborations have been established to conduct investigations in a variety of generalist contexts. At present, four generalist networks – Pediatric Research in Office Settings (PROS), the Pediatric Emergency Care Applied Network (PECARN), the COntinuity Research NETwork (CORNET), and Pediatric Research in Inpatient Settings (PRIS) – have a track record of extensive achievement in generating new knowledge aimed at improving the health and health care of children. This review details the history, accomplishments, and future directions of these networks and summarizes the common themes, strengths, challenges and opportunities inherent in pediatric generalist network research. PMID:21282083

  13. Improving Cancer Care Through Nursing Research.

    PubMed

    Mayer, Deborah K

    2015-09-01

    Nursing research and nurse researchers have been an integral and significant part of the Oncology Nursing Society's (ONS's) history, as evidenced by the development of the Nursing Research Committee within a few years of ONS's establishment. Ruth McCorkle, PhD, RN, FAAN, was the committee's first chairperson in 1979. This was followed by the creation of the Advanced Nursing Research Special Interest Group in 1989 under the leadership of Jean Brown, PhD, RN, FAAN. ONS also began to recognize nurse researchers in 1994 by creating the annual ONS Distinguished Researcher Award to recognize the contributions of a member who has conducted or promoted research that has enhanced the science and practice of oncology nursing. The list of recipients and of their work is impressive and reflects the wide range of our practice areas (see http://bit.ly/1MTC5cp for the recipient list). In addition, the ONS Foundation began funding research in 1981 and has distributed more than $24 million in research grants, research fellowships, and other scholarships, lectures, public education projects, and career development awards (ONS Foundation, 2015). And, in 2006, the Putting Evidence Into Practice resource was unveiled, which provides evidence-based intervention reviews for the 20 most common problems experienced by patients with cancer and their caregivers (www.ons
.org/practice-resources/pep)
.

  14. Vulnerability of permafrost carbon research coordination network

    NASA Astrophysics Data System (ADS)

    Schädel, C.; Schuur, E. A. G.; McGuire, A. D.; Canadell, J. G.; Harden, J.; Kuhry, P.; Romanovsky, V. E.; Turetsky, M. R.

    2012-04-01

    Approximately 1700 Pg of soil carbon are stored in the northern circumpolar permafrost zone, more than twice as much carbon than currently contained in the atmosphere. Permafrost thaw, and the microbial decomposition of previously frozen organic carbon, is considered one of the most likely positive feedbacks from terrestrial ecosystems to the atmosphere in a warmer world. Yet, the rate and form of release is highly uncertain but crucial for predicting the strength and timing of this carbon cycle feedback this century and beyond. Here we report on the first products of a new research coordination network (RCN) whose objective is to link biological C cycle research with well-developed networks in the physical sciences focused on the thermal state of permafrost. We found that published literature in the Science Citation Index identified with the search terms 'permafrost' and 'carbon' have increased dramatically in the last decade. Of total publications including those keywords, 86% were published since 2000, 65% since 2005, and 36% since 2008. The first RCN activity consisted of an expert elicitation that revealed the total effect of carbon release from permafrost zone soils in climate is expected to be up to 30-46 Pg C over the next three decades, reaching 242-324 Pg C by 2100 and potentially up to 551-710 Pg C over the next several centuries under the strongest warming scenario presented to the group. These values, expressed in billions of tons of C in CO2 equivalents, combine the effect of C released both as CO2 and as CH4 by accounting for the greater heat-trapping capacity of CH4. However, the higher global warming potential of CH4 means that almost half of the effect of future permafrost zone carbon emissions on climate forcing was expected by this group to be a result of CH4 emissions from wetlands, lakes, and other oxygen-limited environments where organic matter will be decomposing. These results demonstrate the vulnerability of organic C stored in near

  15. The Prostate Cancer Biorepository Network (PCBN)

    DTIC Science & Technology

    2015-10-01

    and RNA ) from prostate cancer patients. These specimens are linked to clinical and outcome data and supported by an informatics infrastructure. In...models, manufactured and provided TMAs, and derived RNA and DNA where required. In addition, we have provided material to conduct biospecimen science...extensive collection of blood (serum, plasma, and buffy coat), prostatectomy tissues (frozen), and derived specimens (DNA and RNA ) from prostate

  16. A Milestone in Cancer Research and Treatment in India

    Cancer.gov

    Tata Memorial Center is celebrating 75 years of leadership service towards cancer control and research in India. In honor of this anniversary, TMC is hosting A Conference of New Ideas in Cancer – Challenging Dogmas on February 26-28th, 2016 as part of its platinum jubilee events. CGH Director, Dr. Ted Trimble, will give a plenary talk: "Thinking Outside the Box in Cancer Research - Perspectives from the US NCI” in the session titled: Future of Cancer Research: US and European perspectives.

  17. The Healthy Aging Research Network: Modeling Collaboration for Community Impact.

    PubMed

    Belza, Basia; Altpeter, Mary; Smith, Matthew Lee; Ory, Marcia G

    2017-03-01

    As the first Centers for Disease Control and Prevention (CDC) Prevention Research Centers Program thematic network, the Healthy Aging Research Network was established to better understand the determinants of healthy aging within older adult populations, identify interventions that promote healthy aging, and assist in translating research into sustainable community-based programs throughout the nation. To achieve these goals requires concerted efforts of a collaborative network of academic, community, and public health organizational partnerships. For the 2001-2014 Prevention Research Center funding cycles, the Healthy Aging Research Network conducted prevention research and promoted the wide use of practices known to foster optimal health. Organized around components necessary for successful collaborations (i.e., governance and infrastructure, shaping focus, community involvement, and evaluation and improvement), this commentary highlights exemplars that demonstrate the Healthy Aging Research Network's unique contributions to the field. The Healthy Aging Research Network's collaboration provided a means to collectively build capacity for practice and policy, reduce fragmentation and duplication in health promotion and aging research efforts, maximize the efficient use of existing resources and generate additional resources, and ultimately, create synergies for advancing the healthy aging agenda. This collaborative model was built upon a backbone organization (coordinating center); setting of common agendas and mutually reinforcing activities; and continuous communications. Given its successes, the Healthy Aging Research Network model could be used to create new and evaluate existing thematic networks to guide the translation of research into policy and practice.

  18. Characterizing Cancer-Specific Networks by Integrating TCGA Data

    PubMed Central

    Xu, Yanxun; Zhu, Yitan; Müller, Peter; Mitra, Riten; Ji, Yuan

    2014-01-01

    The Cancer Genome Atlas (TCGA) generates comprehensive genomic data for thousands of patients over more than 20 cancer types. TCGA data are typically whole-genome measurements of multiple genomic features, such as DNA copy numbers, DNA methylation, and gene expression, providing unique opportunities for investigating cancer mechanism from multiple molecular and regulatory layers. We propose a Bayesian graphical model to systemically integrate multi-platform TCGA data for inference of the interactions between different genomic features either within a gene or between multiple genes. The presence or absence of edges in the graph indicates the presence or absence of conditional dependence between genomic features. The inference is restricted to genes within a known biological network, but can be extended to any sets of genes. Applying the model to the same genes using patient samples in two different cancer types, we identify network components that are common as well as different between cancer types. The examples and codes are available at https://www.ma.utexas.edu/users/yxu/software.html. PMID:26628858

  19. About the Prostate and Urologic Cancer Research Group | Division of Cancer Prevention

    Cancer.gov

    The Prostate and Urologic Cancer Research Group conducts and supports research on prostate and bladder cancers, and new approaches to clinical prevention studies including cancer immunoprevention. The group develops, implements and monitors research efforts in chemoprevention, nutrition, genetic, and immunologic interventions, screening, early detection and other prevention strategies. |

  20. NCI Community Oncology Research Program Approved | Division of Cancer Prevention

    Cancer.gov

    On June 24, 2013, the National Cancer Institute (NCI) Board of Scientific Advisors approved the creation of the NCI Community Oncology Research Program (NCORP). NCORP will bring state-of-the art cancer prevention, control, treatment and imaging clinical trials, cancer care delivery research, and disparities studies to individuals in their own communities. |

  1. Evidence and research in rectal cancer.

    PubMed

    Valentini, Vincenzo; Beets-Tan, Regina; Borras, Josep M; Krivokapić, Zoran; Leer, Jan Willem; Påhlman, Lars; Rödel, Claus; Schmoll, Hans Joachim; Scott, Nigel; Velde, Cornelius Van de; Verfaillie, Christine

    2008-06-01

    The main evidences of epidemiology, diagnostic imaging, pathology, surgery, radiotherapy, chemotherapy and follow-up are reviewed to optimize the routine treatment of rectal cancer according to a multidisciplinary approach. This paper reports on the knowledge shared between different specialists involved in the design and management of the multidisciplinary ESTRO Teaching Course on Rectal Cancer. The scenario of ongoing research is also addressed. In this time of changing treatments, it clearly appears that a common standard for large heterogeneous patient groups have to be substituted by more individualised therapies based on clinical-pathological features and very soon on molecular and genetic markers. Only trained multidisciplinary teams can face this new challenge and tailor the treatments according to the best scientific evidence for each patient.

  2. Working to Eliminate Cancer Health Disparities from Tobacco: A Review of the National Cancer Institute’s Community Networks Program

    PubMed Central

    Fagan, Pebbles; Cooper, Leslie; Canto, Maria; Carroll, William; Foster-Bey, John; Hébert, James R.; Lopez-Class, Maria; Ma, Grace X.; Nez Henderson, Patricia; Pérez-Stable, Eliseo J.; Santos, LorrieAnn; Smith, Justin H.; Tan, Yin; Tsoh, Janice; Chu, Kenneth

    2015-01-01

    Introduction: In 2005, the National Cancer Institute funded the Community Networks Program (CNP), which aimed to reduce cancer health disparities in minority racial/ethnic and underserved groups through community-based participatory research, education, and training. The purpose of this study was to describe the CNP model and their tobacco-related work in community-based research, education, and training using a tobacco disparities research framework. Methods: We conducted a comprehensive review of the CNP tobacco-related activities including publications, published abstracts, research activities, trainee pilot studies, policy-related activities, educational outreach, and reports produced from 2005–2009. Two authors categorized the tobacco-related activities and publications within the framework. Results: Although there was no mandate to address tobacco, the CNPs produced 103 tobacco-related peer-reviewed publications, which reflects the largest proportion (12%) of all CNP cancer-related publications. Selected publications and research activities were most numerous under the framework areas “Psychosocial Research,” “Surveillance,” “Epidemiology,” and “Treatment of Nicotine Addiction.” Thirteen CNPs participated in tobacco control policymaking in mainstream efforts that affected their local community and populations, and 24 CNPs conducted 1147 tobacco-related educational outreach activities. CNP activities that aimed to build research and infrastructure capacity included nine tobacco-related pilot projects representing 16% of all CNP cancer-related pilot projects, and 17 publications acknowledging leveraged partnerships with other organizations, a strategy encouraged by the CNP. Conclusions: The CNP is a promising academic-community model for working to eliminate tobacco-related health disparities. Future efforts may address scientific gaps, consider collaboration across groups, assess the extent of operationalizing community-based participatory

  3. The Cancer Cell Map Initiative: Defining the Hallmark Networks of Cancer

    PubMed Central

    Krogan, Nevan J.; Lippman, Scott; Agard, David A.; Ashworth, Alan; Ideker, Trey

    2017-01-01

    Progress in DNA sequencing has revealed the startling complexity of cancer genomes, which typically carry thousands of somatic mutations. However, it remains unclear which are the key driver mutations or dependencies in a given cancer and how these influence pathogenesis and response to therapy. Although tumors of similar types and clinical outcomes can have patterns of mutations that are strikingly different, it is becoming apparent that these mutations recurrently hijack the same hallmark molecular pathways and networks. For this reason, it is likely that successful interpretation of cancer genomes will require comprehensive knowledge of the molecular networks under selective pressure in oncogenesis. Here we announce the creation of a new effort, called The Cancer Cell Map Initiative (CCMI), aimed at systematically detailing these complex interactions among cancer genes and how they differ between diseased and healthy states. We discuss recent progress that enables creation of these Cancer Cell Maps across a range of tumor types and how they can be used to target networks disrupted in individual patients, significantly accelerating the development of precision medicine. PMID:26000852

  4. About Supportive and Palliative Care Research | Division of Cancer Prevention

    Cancer.gov

    The program supports research in three areas: prevention or treatment of acute or chronic symptoms and morbidities related to cancer, its treatment and caregiving (symptom management research); effects on quality of life from cancer, its treatment and caregiving (quality of life research); and end-of-life psychosocial issues, caregiving and treatment strategies (end-of-life research). |

  5. A mixed-methods study of research dissemination across practice-based research networks.

    PubMed

    Lipman, Paula Darby; Lange, Carol J; Cohen, Rachel A; Peterson, Kevin A

    2014-01-01

    Practice-based research networks may be expanding beyond research into rapid learning systems. This mixed-methods study uses Agency for Healthcare Research and Quality registry data to identify networks currently engaged in dissemination of research findings and to select a sample to participate in qualitative semistructured interviews. An adapted Diffusion of Innovations framework was used to organize concepts by characteristics of networks, dissemination activities, and mechanisms for rapid learning. Six regional networks provided detailed information about dissemination strategies, organizational context, role of practice-based research network, member involvement, and practice incentives. Strategies compatible with current practices and learning innovations that generate observable improvements may increase effectiveness of rapid learning approaches.

  6. Databases and tools for constructing signal transduction networks in cancer.

    PubMed

    Nam, Seungyoon

    2017-01-01

    Traditionally, biologists have devoted their careers to studying individual biological entities of their own interest, partly due to lack of available data regarding that entity. Large, highthroughput data, too complex for conventional processing methods (i.e., "big data"), has accumulated in cancer biology, which is freely available in public data repositories. Such challenges urge biologists to inspect their biological entities of interest using novel approaches, firstly including repository data retrieval. Essentially, these revolutionary changes demand new interpretations of huge datasets at a systems-level, by so called "systems biology". One of the representative applications of systems biology is to generate a biological network from high-throughput big data, providing a global map of molecular events associated with specific phenotype changes. In this review, we introduce the repositories of cancer big data and cutting-edge systems biology tools for network generation, and improved identification of therapeutic targets. [BMB Reports 2017; 50(1): 12-19].

  7. Databases and tools for constructing signal transduction networks in cancer

    PubMed Central

    Nam, Seungyoon

    2017-01-01

    Traditionally, biologists have devoted their careers to studying individual biological entities of their own interest, partly due to lack of available data regarding that entity. Large, high-throughput data, too complex for conventional processing methods (i.e., “big data”), has accumulated in cancer biology, which is freely available in public data repositories. Such challenges urge biologists to inspect their biological entities of interest using novel approaches, firstly including repository data retrieval. Essentially, these revolutionary changes demand new interpretations of huge datasets at a systems-level, by so called “systems biology”. One of the representative applications of systems biology is to generate a biological network from high-throughput big data, providing a global map of molecular events associated with specific phenotype changes. In this review, we introduce the repositories of cancer big data and cutting-edge systems biology tools for network generation, and improved identification of therapeutic targets. PMID:27502015

  8. Enabling collaborative research using the Biomedical Informatics Research Network (BIRN)

    PubMed Central

    Ambite, Jose Luis; Ames, Joseph; Ananthakrishnan, Rachana; Burns, Gully; Chervenak, Ann L; Foster, Ian; Liming, Lee; Keator, David; Macciardi, Fabio; Madduri, Ravi; Navarro, John-Paul; Potkin, Steven; Rosen, Bruce; Ruffins, Seth; Schuler, Robert; Turner, Jessica A; Toga, Arthur; Williams, Christina; Kesselman, Carl

    2011-01-01

    Objective As biomedical technology becomes increasingly sophisticated, researchers can probe ever more subtle effects with the added requirement that the investigation of small effects often requires the acquisition of large amounts of data. In biomedicine, these data are often acquired at, and later shared between, multiple sites. There are both technological and sociological hurdles to be overcome for data to be passed between researchers and later made accessible to the larger scientific community. The goal of the Biomedical Informatics Research Network (BIRN) is to address the challenges inherent in biomedical data sharing. Materials and methods BIRN tools are grouped into ‘capabilities’ and are available in the areas of data management, data security, information integration, and knowledge engineering. BIRN has a user-driven focus and employs a layered architectural approach that promotes reuse of infrastructure. BIRN tools are designed to be modular and therefore can work with pre-existing tools. BIRN users can choose the capabilities most useful for their application, while not having to ensure that their project conforms to a monolithic architecture. Results BIRN has implemented a new software-based data-sharing infrastructure that has been put to use in many different domains within biomedicine. BIRN is actively involved in outreach to the broader biomedical community to form working partnerships. Conclusion BIRN's mission is to provide capabilities and services related to data sharing to the biomedical research community. It does this by forming partnerships and solving specific, user-driven problems whose solutions are then available for use by other groups. PMID:21515543

  9. Progress through Collaboration - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute (NCI), through the Office of Cancer Clinical Proteomics Research (OCCPR), has signed two Memorandums of Understanding (MOUs) in the areas of sharing proteomics reagents and protocols and also in regulatory science.

  10. A new focus for the International Cancer Screening Network

    Cancer.gov

    The ICSN is thinking about how to take advantage of the nearly three decades of work in cancer screening program research and implementation and reach out more actively to low- and middle-income countries considering screening. For that purpose, ICSN is migrating from its historical place under NCI Division of Cancer Control and Population Sciences to assume its new role within the Center for Global Health.

  11. EARLINET: potential operationality of a research network

    NASA Astrophysics Data System (ADS)

    Sicard, M.; D'Amico, G.; Comerón, A.; Mona, L.; Alados-Arboledas, L.; Amodeo, A.; Baars, H.; Baldasano, J. M.; Belegante, L.; Binietoglou, I.; Bravo-Aranda, J. A.; Fernández, A. J.; Fréville, P.; García-Vizcaíno, D.; Giunta, A.; Granados-Muñoz, M. J.; Guerrero-Rascado, J. L.; Hadjimitsis, D.; Haefele, A.; Hervo, M.; Iarlori, M.; Kokkalis, P.; Lange, D.; Mamouri, R. E.; Mattis, I.; Molero, F.; Montoux, N.; Muñoz, A.; Muñoz Porcar, C.; Navas-Guzmán, F.; Nicolae, D.; Nisantzi, A.; Papagiannopoulos, N.; Papayannis, A.; Pereira, S.; Preißler, J.; Pujadas, M.; Rizi, V.; Rocadenbosch, F.; Sellegri, K.; Simeonov, V.; Tsaknakis, G.; Wagner, F.; Pappalardo, G.

    2015-11-01

    In the framework of ACTRIS (Aerosols, Clouds, and Trace Gases Research Infrastructure Network) summer 2012 measurement campaign (8 June-17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated in the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time, the single calculus chain (SCC) - the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products - was used. All stations sent in real-time measurements of a 1 h duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC, while the optical processing was performed in near-real time after the exercise ended. 98 and 79 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on the lidar data. The paper draws present and future SCC users' attention to the most critical parameters of the SCC product configuration and their possible optimal value but also to the limitations inherent to the raw data. The continuous use of SCC direct and derived products in heterogeneous conditions is used to demonstrate two potential applications of EARLINET infrastructure: the monitoring of a Saharan dust intrusion event and the evaluation of two dust transport models. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modeling, climate research and calibration/validation activities of spaceborne observations.

  12. Aquatic invasive species: Lessons from cancer research

    USGS Publications Warehouse

    Sepulveda, Adam; Ray, Andrew; Al-Chokhachy, Robert K.; Muhlfeld, Clint C.; Gresswell, Robert E.; Gross, Jackson A.; Kershner, Jeffrey L.

    2014-01-01

    Aquatic invasive species are disrupting ecosystems with increasing frequency. Successful control of these invasions has been rare: Biologists and managers have few tools for fighting aquatic invaders. In contrast, the medical community has long worked to develop tools for preventing and fighting cancer. Its successes are marked by a coordinated research approach with multiple steps: prevention, early detection, diagnosis, treatment options and rehabilitation. The authors discuss how these steps can be applied to aquatic invasive species, such as the American bullfrog (Lithobates catesbeianus), in the Northern Rocky Mountain region of the United States, to expedite tool development and implementation along with achievement of biodiversity conservation goals.

  13. Androgen receptor and gene network: Micromechanics reassemble the signaling machinery of TMPRSS2-ERG positive prostate cancer cells

    PubMed Central

    2014-01-01

    Prostate cancer is a gland tumor in the male reproductive system. It is a multifaceted and genomically complex disease. Transmembrane protease, serine 2 and v-ets erythroblastosis virus E26 homolog (TMPRSS2-ERG) gene fusions are the common molecular signature of prostate cancer. Although tremendous advances have been made in unraveling various facets of TMPRSS2-ERG-positive prostate cancer, many research findings must be sequentially collected and re-interpreted. It is important to understand the activation or repression of target genes and proteins in response to various stimuli and the assembly in signal transduction in TMPRSS2-ERG fusion-positive prostate cancer cells. Accordingly, we divide this multi-component review ofprostate cancer cells into several segments: 1) The role of TMPRSS2-ERG fusion in genomic instability and methylated regulation in prostate cancer and normal cells; 2) Signal transduction cascades in TMPRSS2-ERG fusion-positive prostate cancer; 3) Overexpressed genes in TMPRSS2-ERG fusion-positive prostate cancer cells; 4) miRNA mediated regulation of the androgen receptor (AR) and its associated protein network; 5) Quantitative control of ERG in prostate cancer cells; 6) TMPRSS2-ERG encoded protein targeting; In conclusion, we provide a detailed understanding of TMPRSS2-ERG fusion related information in prostate cancer development to provide a rationale for exploring TMPRSS2-ERG fusion-mediated molecular network machinery. PMID:24739220

  14. Highlights from the 2013 national cancer research institute conference.

    PubMed

    Lewis, Ian

    2014-01-01

    Cancer research is a multifaceted endeavour that incorporates not only a myriad of techniques and specialties but also encompasses a huge range of disease types. The National Cancer Research Institute (NCRI) is a UK partnership comprising 21 charity and government funders of cancer research along with the Association of British Pharmaceutical Industry. Each year, the NCRI hosts the largest cancer meeting in the UK; bringing together members of the UK cancer research community, research leaders from around the world, health professionals, service users, research funders, and industry to discuss the latest findings in cancer research from a wide range of disciplines. The 2013 NCRI Conference attracted over 1700 delegates and 150 speakers from 15 different countries. The conference programme covered a large range of topic areas including prevention, screening, model systems, the provision of information, survivorship, and end-of-life care. This conference report gives an overview of the plenary sessions at the conference as well as highlights from the parallel sessions.

  15. Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm

    PubMed Central

    Parikh, Ankur P.; Curtis, Ross E.; Kuhn, Irene; Becker-Weimann, Sabine; Bissell, Mina; Xing, Eric P.; Wu, Wei

    2014-01-01

    The HMT3522 progression series of human breast cells have been used to discover how tissue architecture, microenvironment and signaling molecules affect breast cell growth and behaviors. However, much remains to be elucidated about malignant and phenotypic reversion behaviors of the HMT3522-T4-2 cells of this series. We employed a “pan-cell-state” strategy, and analyzed jointly microarray profiles obtained from different state-specific cell populations from this progression and reversion model of the breast cells using a tree-lineage multi-network inference algorithm, Treegl. We found that different breast cell states contain distinct gene networks. The network specific to non-malignant HMT3522-S1 cells is dominated by genes involved in normal processes, whereas the T4-2-specific network is enriched with cancer-related genes. The networks specific to various conditions of the reverted T4-2 cells are enriched with pathways suggestive of compensatory effects, consistent with clinical data showing patient resistance to anticancer drugs. We validated the findings using an external dataset, and showed that aberrant expression values of certain hubs in the identified networks are associated with poor clinical outcomes. Thus, analysis of various reversion conditions (including non-reverted) of HMT3522 cells using Treegl can be a good model system to study drug effects on breast cancer. PMID:25057922

  16. The Security Research of Digital Library Network

    NASA Astrophysics Data System (ADS)

    Zhang, Xin; Song, Ding-Li; Yan, Shu

    Digital library is a self-development needs for the modern library to meet the development requirements of the times, changing the way services and so on. digital library from the hardware, technology, management and other aspects to objective analysis of the factors of threats to digital library network security. We should face up the problems of digital library network security: digital library network hardware are "not hard", the technology of digital library is relatively lag, digital library management system is imperfect and other problems; the government should take active measures to ensure that the library funding, to enhance the level of network hardware, to upgrade LAN and prevention technology, to improve network control technology, network monitoring technology; to strengthen safety management concepts, to prefect the safety management system; and to improve the level of security management modernization for digital library.

  17. Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer.

    PubMed

    Sharma, Neha; Om, Hari

    2015-01-01

    In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and control of oral cancer is identification and risk assessment of early disease in the community in a cost-effective fashion. The objective of this research is to design a data mining model using probabilistic neural network and general regression neural network (PNN/GRNN) for early detection and prevention of oral malignancy. The model is built using the oral cancer database which has 35 attributes and 1025 records. All the attributes pertaining to clinical symptoms and history are considered to classify malignant and non-malignant cases. Subsequently, the model attempts to predict particular type of cancer, its stage and extent with the help of attributes pertaining to symptoms, gross examination and investigations. Also, the model envisages anticipating the survivability of a patient on the basis of treatment and follow-up details. Finally, the performance of the PNN/GRNN model is compared with that of other classification models. The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer.

  18. Establishment of a network-based intra-hospital virtual cancer biobank.

    PubMed

    Zhang, Lianhai; Wu, Xiaojiang; Hu, Ying; Wang, Xiaohong; He, Zhonghu; Xie, Yuntao; Pan, Kaifeng; Wang, Ning; Dong, Zhihua; Zhang, Lei; Ji, Jiafu

    2015-02-01

    There is a growing interest in integrating biomaterial repositories into larger infrastructures in order to meet research demands. However, even for a single hospital or institute, where both population-based and multiple disease-based biobanks have existed for a long time, the integration of existing separate biobanks into a virtual cancer biobank is still challenging. The guidelines and procedures for biobanking are varied and not universally enforced or followed in separate biobanks. Within the last 2 years, we initiated a project to establish a centralized biobank facility in a common storage environment. Analyzing the challenges and interests of stakeholders for the biobanks, a working group comprised of representatives from the central and separate banks, ethic committees, and research administration offices reached an agreement to implement a central facility by following the ISBER best practices for biobanking, and including regular project reviews by the ethical and scientific boards. Furthermore, by implementing a modified minimum information system with biobank data sharing, a network based intra-hospital virtual cancer bank was established to facilitate sharing information of samples held by separate banks. Meanwhile, this virtual biobank network, which has integrated patient information from hospital health care systems, will gradually integrate follow-up information from the cancer registry office and data from epidemiology studies, providing controlled access for sample providers and resource users. In the future, this infrastructure designed for a single hospital may be helpful for building a broader virtual network for data and specimen exchanges.

  19. Gaps in nutritional research among older adults with cancer

    PubMed Central

    Presley, Carolyn J.; Dotan, Efrat; Soto-Perez-de-Celis, Enrique; Jatoi, Aminah; Mohile, Supriya G.; Won, Elizabeth; Alibhai, Shabbir; Kilari, Deepak; Harrison, Robert; Klepin, Heidi D.; Wildes, Tanya M.; Mustian, Karen; Demark-Wahnefried, Wendy

    2016-01-01

    Nutritional issues among older adults with cancer are an understudied area of research despite significant prognostic implications for treatment side effects, cancer-specific mortality, and overall survival. In May of 2015, the National Cancer Institute and the National Institute on Aging co-sponsored a conference focused on future directions in geriatric oncology research. Nutritional research among older adults with cancer was highlighted as a major area of concern as most nutritional cancer research has been conducted among younger adults, with limited evidence to guide the care of nutritional issues among older adults with cancer. Cancer diagnoses among older adults are increasing, and the care of the older adult with cancer is complicated due to multimorbidity, heterogeneous functional status, polypharmacy, deficits in cognitive and mental health, and several other non-cancer factors. Due to this complexity, nutritional needs are dynamic, multifaceted, and dependent on the clinical scenario. This manuscript outlines the proceedings of this conference including knowledge gaps and recommendations for future nutritional research among older adults with cancer. Three common clinical scenarios encountered by oncologists include (1) weight loss during anti-cancer therapy, (2) malnutrition during advanced disease, and (3) obesity during survivorship. In this manuscript, we provide a brief overview of relevant cancer literature within these three areas, knowledge gaps that exist, and recommendations for future research. PMID:27197919

  20. Gaps in nutritional research among older adults with cancer.

    PubMed

    Presley, Carolyn J; Dotan, Efrat; Soto-Perez-de-Celis, Enrique; Jatoi, Aminah; Mohile, Supriya G; Won, Elizabeth; Alibhai, Shabbir; Kilari, Deepak; Harrison, Robert; Klepin, Heidi D; Wildes, Tanya M; Mustian, Karen; Demark-Wahnefried, Wendy

    2016-07-01

    Nutritional issues among older adults with cancer are an understudied area of research despite significant prognostic implications for treatment side effects, cancer-specific mortality, and overall survival. In May of 2015, the National Cancer Institute and the National Institute on Aging co-sponsored a conference focused on future directions in geriatric oncology research. Nutritional research among older adults with cancer was highlighted as a major area of concern as most nutritional cancer research has been conducted among younger adults, with limited evidence to guide the care of nutritional issues among older adults with cancer. Cancer diagnoses among older adults are increasing, and the care of the older adult with cancer is complicated due to multimorbidity, heterogeneous functional status, polypharmacy, deficits in cognitive and mental health, and several other non-cancer factors. Due to this complexity, nutritional needs are dynamic, multifaceted, and dependent on the clinical scenario. This manuscript outlines the proceedings of this conference including knowledge gaps and recommendations for future nutritional research among older adults with cancer. Three common clinical scenarios encountered by oncologists include (1) weight loss during anti-cancer therapy, (2) malnutrition during advanced disease, and (3) obesity during survivorship. In this manuscript, we provide a brief overview of relevant cancer literature within these three areas, knowledge gaps that exist, and recommendations for future research.

  1. ALEPH: Israel's Research Library Network: Background, Evolution, and Implications for Networking in a Small Country.

    ERIC Educational Resources Information Center

    Lazinger, Susan S.

    1991-01-01

    Describes ALEPH, the research library network in Israel, and analyzes the strengths and weaknesses of its decentralized structure. Highlights include comparisons between RLIN and ALEPH; centralized versus decentralized networks; the format of ALEPH; authority control in ALEPH; and non-Roman scripts in both networks. (16 references) (LRW)

  2. The National Cancer Institute’s Community Networks Program Initiative to Reduce Cancer Health Disparities: Outcomes and Lessons Learned

    PubMed Central

    Braun, Kathryn L.; Stewart, Susan; Baquet, Claudia; Berry-Bobovski, Lisa; Blumenthal, Daniel; Brandt, Heather M.; Buchwald, Dedra S.; Campbell, Janis E.; Coe, Kathryn; Cooper, Leslie C.; Espinoza, Paula; Henry-Tillman, Ronda; Hargreaves, Margaret; James, Aimee; Kaur, Judith Salmon; Viswanath, K.; Ma, Grace X.; Mandelblatt, Jeanne; Meade, Cathy; Ramirez, Amelie; Scarinci, Isabel; Tanjasiri, Sora Park; Thompson, Beti; Vines, Anissa I.; Dignan, Mark

    2015-01-01

    Background We describe reach, partnerships, products, benefits, and lessons learned of the 25 Community Network Programs (CNPs) that applied community-based participatory research (CBPR) to reduce cancer health disparities. Methods Quantitative and qualitative data were abstracted from CNP final reports. Qualitative data were grouped by theme. Results Together, the 25 CNPs worked with more than 2,000 academic, clinical, community, government, faith-based, and other partners. They completed 211 needs assessments, leveraged funds for 328 research and service projects, trained 719 new investigators, educated almost 55,000 community members, and published 991 articles. Qualitative data illustrated how use of CBPR improved research methods and participation; improved knowledge, interventions, and outcomes; and built community capacity. Lessons learned related to the need for time to nurture partnerships and the need to attend to community demand for sustained improvements in cancer services. Implications Findings demonstrate the value of government-supported, community–academic, CBPR partnerships in cancer prevention and control research. PMID:26213401

  3. canSAR: an updated cancer research and drug discovery knowledgebase.

    PubMed

    Tym, Joseph E; Mitsopoulos, Costas; Coker, Elizabeth A; Razaz, Parisa; Schierz, Amanda C; Antolin, Albert A; Al-Lazikani, Bissan

    2016-01-04

    canSAR (http://cansar.icr.ac.uk) is a publicly available, multidisciplinary, cancer-focused knowledgebase developed to support cancer translational research and drug discovery. canSAR integrates genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and druggability data. canSAR is widely used to rapidly access information and help interpret experimental data in a translational and drug discovery context. Here we describe major enhancements to canSAR including new data, improved search and browsing capabilities, new disease and cancer cell line summaries and new and enhanced batch analysis tools.

  4. Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

    PubMed Central

    Joshi, Gyanendra Prasad; Nam, Seung Yeob; Kim, Sung Won

    2013-01-01

    A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized. PMID:23974152

  5. Cognitive radio wireless sensor networks: applications, challenges and research trends.

    PubMed

    Joshi, Gyanendra Prasad; Nam, Seung Yeob; Kim, Sung Won

    2013-08-22

    A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. This paper describes the advantages of cognitive radio wireless sensor networks, the difference between ad hoc cognitive radio networks, wireless sensor networks, and cognitive radio wireless sensor networks, potential application areas of cognitive radio wireless sensor networks, challenges and research trend in cognitive radio wireless sensor networks. The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required QoS. Finally, this paper lists several open research challenges aimed at drawing the attention of the readers toward the important issues that need to be addressed before the vision of completely autonomous cognitive radio wireless sensor networks can be realized.

  6. Neural Network Research: A Personal Perspective,

    DTIC Science & Technology

    1988-03-01

    These vision preprocessor and ART autonomous classifier examples are just two of the many neural network architectures now being developed by...computational theories with natural realizations as real-time adaptive neural network architectures with promising properties for tackling some of the

  7. Variable Star Research With International Networks

    NASA Astrophysics Data System (ADS)

    Querci, F. R.; Querci, M.

    1997-05-01

    Generally speaking, variable stars are monitored through observing campaigns which coordinate multi-site telescopes at various longitudes. A new practice is in progress: devoted networks involving robotic telescopes. We will review these two technologies and will emphasize the NORT (Network of Oriental Robotic Telescopes) project which we are promoting in North Africa, Middle-Eastern countries and Asia.

  8. Epidemiologic research topics in Germany: a keyword network analysis of 2014 DGEpi conference presentations.

    PubMed

    Peter, Raphael Simon; Brehme, Torben; Völzke, Henry; Muche, Rainer; Rothenbacher, Dietrich; Büchele, Gisela

    2016-06-01

    Knowledge of epidemiologic research topics as well as trends is useful for scientific societies, researchers and funding agencies. In recent years researchers recognized the usefulness of keyword network analysis for visualizing and analyzing scientific research topics. Therefore, we applied keyword network analysis to present an overview of current epidemiologic research topics in Germany. Accepted submissions to the 9th annual congress of the German Society for Epidemiology (DGEpi) in 2014 were used as data source. Submitters had to choose one of 19 subject areas, and were ask to provide a title, structured abstract, names of authors along with their affiliations, and a list of freely selectable keywords. Keywords had been provided for 262 (82 %) submissions, 1030 keywords in total. Overall the most common keywords were: "migration" (18 times), "prevention" (15 times), followed by "children", "cohort study", "physical activity", and "secondary data analysis" (11 times each). Some keywords showed a certain concentration under one specific subject area, e.g. "migration" with 8 of 18 in social epidemiology or "breast cancer" with 4 of 7 in cancer epidemiology. While others like "physical activity" were equally distributed over multiple subject areas (cardiovascular & metabolic diseases, ageing, methods, paediatrics, prevention & health service research). This keyword network analysis demonstrated the high diversity of epidemiologic research topics with a large number of distinct keywords as presented at the annual conference of the DGEpi.

  9. Reconstructing the Prostate Cancer Transcriptional Regulatory Network

    DTIC Science & Technology

    2010-07-01

    3Department of Health Research & Policy and 4Department of Statistics, Stanford University, Stanford, CA, USA Received on August 5, 2009; revised on November...61801252 62370522 569 HCC1419 PRR17, OPRL1 22q11.21 18256420 19686015 1430 SUM190 COMT , HTF9C, PI4KA 22q12.1 24895479 25885840 990 HCC202 HPS4 Xp11.23-p11.22

  10. US computer research networks: Domestic and international telecommunications capacity requirements

    NASA Technical Reports Server (NTRS)

    Kratochvil, D.; Sood, D.

    1990-01-01

    The future telecommunications capacity and connectivity requirements of the United States (US) research and development (R&D) community raise two concerns. First, would there be adequate privately-owned communications capacity to meet the ever-increasing requirements of the US R&D community for domestic and international connectivity? Second, is the method of piecemeal implementation of communications facilities by individual researchers cost effective when viewed from an integrated perspective? To address the capacity issue, Contel recently completed a study for NASA identifying the current domestic R&D telecommunications capacity and connectivity requirements, and projecting the same to the years 1991, 1996, 2000, and 2010. The work reported here extends the scope of an earlier study by factoring in the impact of international connectivity requirements on capacity and connectivity forecasts. Most researchers in foreign countries, as is the case with US researchers, rely on regional, national or continent-wide networks to collaborate with each other, and their US counterparts. The US researchers' international connectivity requirements, therefore, stem from the need to link the US domestic research networks to foreign research networks. The number of links and, more importantly, the speeds of links are invariably determined by the characteristics of the networks being linked. The major thrust of this study, therefore, was to identify and characterize the foreign research networks, to quantify the current status of their connectivity to the US networks, and to project growth in the connectivity requirements to years 1991, 1996, 2000, and 2010 so that a composite picture of the US research networks in the same years could be forecasted. The current (1990) US integrated research network, and its connectivity to foreign research networks is shown. As an example of projections, the same for the year 2010 is shown.

  11. An analysis of cancer research funding in the UK.

    PubMed

    O'Toole, Liam; Nurse, Paul; Radda, George

    2003-02-01

    Until recently, a lack of comparable and reliable data on ongoing research activity has been a significant limiting factor in strategic planning for cancer research. This article describes a new initiative in the UK, which is aimed at facilitating the coordination and strategic planning of cancer research at the national level.

  12. Network pharmacodynamic models for customized cancer therapy.

    PubMed

    Gallo, James M; Birtwistle, Marc R

    2015-01-01

    Pharmacokinetics (PKs) and pharmacodynamics (PDs) have always been integral to the design of rational drug dosing regimens. Early on PK-driven approaches came under the auspices of therapeutic drug monitoring that progressed into population-based PK and PK/PD modeling analyses. As the availability of tissue samples for measurement of drug concentrations is limited in patients, the bulk of such model-based methods relied on plasma drug concentrations to both build models and monitor therapy. The continued advances in systems biology and the spawning of systems pharmacology propelled the creation of enhanced PD (ePD) models. One of the main characteristic of ePD models is that they are derived from mechanistically grounded biochemical reaction networks. These models are commonly represented as systems of coupled ordinary differential equations with the ability to tailor each reaction and protein concentration to an individual's genomic/proteomic profile. As patient genomic analyses become more common, many genetic and protein abnormalities can be represented in the ePD models, and thus offer a path toward personalized anticancer therapies. By linking PK models to ePD models, a full spectrum of pharmacological simulation tools is available to design sophisticated multidrug regimens. However, ePD models are not a panacea and face challenges in model identifiability, scaling and parameter estimation. Nonetheless, as new technologies evolve and are coupled with fresh ideas on model implementation, it is likely that ePD and PK/ePD models will be considered a viable enterprise to customize anticancer drug therapy.

  13. Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer

    PubMed Central

    CHEN, CHEN; SHEN, HONG; ZHANG, LI-GUO; LIU, JIAN; CAO, XIAO-GE; YAO, AN-LIANG; KANG, SHAO-SAN; GAO, WEI-XING; HAN, HUI; CAO, FENG-HONG; LI, ZHI-GUO

    2016-01-01

    Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics research has generated a large amount of data; however, only a very small amount has been thoroughly investigated. In this study, we manually carried out the mining of the full text of proteomics literature that involved comparisons between PCa and normal or benign tissue and identified 41 differentially expressed proteins verified or reported more than 2 times from different research studies. We regarded these proteins as seed proteins to construct a protein-protein interaction (PPI) network. The extended network included one giant network, which consisted of 1,264 nodes connected via 1,744 edges, and 3 small separate components. The backbone network was then constructed, which was derived from key nodes and the subnetwork consisting of the shortest path between seed proteins. Topological analyses of these networks were conducted to identify proteins essential for the genesis of PCa. Solute carrier family 2 (facilitated glucose transporter), member 4 (SLC2A4) had the highest closeness centrality located in the center of each network, and the highest betweenness centrality and largest degree in the backbone network. Tubulin, beta 2C (TUBB2C) had the largest degree in the giant network and subnetwork. In addition, using module analysis of the whole PPI network, we obtained a densely connected region. Functional annotation indicated that the Ras protein signal transduction biological process, mitogen-activated protein kinase (MAPK), neurotrophin and the gonadotropin-releasing hormone (GnRH) signaling pathway may play an important role in the genesis and development of PCa. Further investigation of the SLC2A4, TUBB2C proteins, and these biological processes and pathways may therefore provide a potential target for the diagnosis and treatment of PCa. PMID:27121963

  14. Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer.

    PubMed

    Chen, Chen; Shen, Hong; Zhang, Li-Guo; Liu, Jian; Cao, Xiao-Ge; Yao, An-Liang; Kang, Shao-San; Gao, Wei-Xing; Han, Hui; Cao, Feng-Hong; Li, Zhi-Guo

    2016-06-01

    Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics research has generated a large amount of data; however, only a very small amount has been thoroughly investigated. In this study, we manually carried out the mining of the full text of proteomics literature that involved comparisons between PCa and normal or benign tissue and identified 41 differentially expressed proteins verified or reported more than 2 times from different research studies. We regarded these proteins as seed proteins to construct a protein-protein interaction (PPI) network. The extended network included one giant network, which consisted of 1,264 nodes connected via 1,744 edges, and 3 small separate components. The backbone network was then constructed, which was derived from key nodes and the subnetwork consisting of the shortest path between seed proteins. Topological analyses of these networks were conducted to identify proteins essential for the genesis of PCa. Solute carrier family 2 (facilitated glucose transporter), member 4 (SLC2A4) had the highest closeness centrality located in the center of each network, and the highest betweenness centrality and largest degree in the backbone network. Tubulin, beta 2C (TUBB2C) had the largest degree in the giant network and subnetwork. In addition, using module analysis of the whole PPI network, we obtained a densely connected region. Functional annotation indicated that the Ras protein signal transduction biological process, mitogen-activated protein kinase (MAPK), neurotrophin and the gonadotropin-releasing hormone (GnRH) signaling pathway may play an important role in the genesis and development of PCa. Further investigation of the SLC2A4, TUBB2C proteins, and these biological processes and pathways may therefore provide a potential target for the diagnosis and treatment of PCa.

  15. The ETH Flux Research Network ("Swiss Fluxnet")

    NASA Astrophysics Data System (ADS)

    Eugster, W.; Zeeman, M. J.; Häsler, R.; Buchmann, N.

    2006-12-01

    Within CarboEurope more than 100 eddy covariance flux towers aim at providing spatially representative CO2 and energy fluxes from the major forest ecosystem types, grasslands, and croplands. Still, at the regional (10's of km) scale the spatial variation in topography and ecosystem types is not adequately represented in mountainous areas such as Switzerland. Therefore we have extended the cluster of three CarboEurope flux sites (Oensingen grassland; Oensingen cropland; Laegeren mixed forest) by additional sites that form an elevational transect from the low elevations of the Swiss Plateau (around 400 m a.s.l.) to the interior of the Central Alps (around 2000 m a.s.l.). As of 2006 there were the following sites operated by this research group: Elevation Ecosystem Location Since Type 2000 m Alpine pasture Crap Alv ETH 2005 seasonal 1640 m Subalpine coniferous forest Davos 1997 continuous 1000 m Montane Grassland Früebüel ETH 2006 continuous 0700 m Montane mixed forest Lägeren 2004 continuous 0400 m Lowland Grassland Chamau ETH 2006 continuous 0400 m Cropland Oensingen 2004 continuous In addition to the CarboEurope network design these sites attempt to cover all agriculturally important ecosystems in Switzerland, which are characterized by a seasonal three-stage management system where cattle are moved from their winter pastures in the lowlands to the montane meadows in spring, followed by the summer pastures above the treeline in the Alps. At the same time the two forest sites cover the two most important types with deciduous trees (beech, maple, ash) dominated mixed forest at lower elevations, and Norway spruce near the Alpine treeline. The long-term flux research to be carried out along this elevational transect will allow us to gain a better understanding of how elevation---and thus a very steep climate gradient over a relatively short horizontal distance---interrelate with land use and land management. This will greatly help to increase our ability to predict

  16. The redox biology network in cancer pathophysiology and therapeutics

    PubMed Central

    Manda, Gina; Isvoranu, Gheorghita; Comanescu, Maria Victoria; Manea, Adrian; Debelec Butuner, Bilge; Korkmaz, Kemal Sami

    2015-01-01

    The review pinpoints operational concepts related to the redox biology network applied to the pathophysiology and therapeutics of solid tumors. A sophisticated network of intrinsic and extrinsic cues, integrated in the tumor niche, drives tumorigenesis and tumor progression. Critical mutations and distorted redox signaling pathways orchestrate pathologic events inside cancer cells, resulting in resistance to stress and death signals, aberrant proliferation and efficient repair mechanisms. Additionally, the complex inter-cellular crosstalk within the tumor niche, mediated by cytokines, redox-sensitive danger signals (HMGB1) and exosomes, under the pressure of multiple stresses (oxidative, inflammatory, metabolic), greatly contributes to the malignant phenotype. The tumor-associated inflammatory stress and its suppressive action on the anti-tumor immune response are highlighted. We further emphasize that ROS may act either as supporter or enemy of cancer cells, depending on the context. Oxidative stress-based therapies, such as radiotherapy and photodynamic therapy, take advantage of the cytotoxic face of ROS for killing tumor cells by a non-physiologically sudden, localized and intense oxidative burst. The type of tumor cell death elicited by these therapies is discussed. Therapy outcome depends on the differential sensitivity to oxidative stress of particular tumor cells, such as cancer stem cells, and therefore co-therapies that transiently down-regulate their intrinsic antioxidant system hold great promise. We draw attention on the consequences of the damage signals delivered by oxidative stress-injured cells to neighboring and distant cells, and emphasize the benefits of therapeutically triggered immunologic cell death in metastatic cancer. An integrative approach should be applied when designing therapeutic strategies in cancer, taking into consideration the mutational, metabolic, inflammatory and oxidative status of tumor cells, cellular heterogeneity and the

  17. The redox biology network in cancer pathophysiology and therapeutics.

    PubMed

    Manda, Gina; Isvoranu, Gheorghita; Comanescu, Maria Victoria; Manea, Adrian; Debelec Butuner, Bilge; Korkmaz, Kemal Sami

    2015-08-01

    The review pinpoints operational concepts related to the redox biology network applied to the pathophysiology and therapeutics of solid tumors. A sophisticated network of intrinsic and extrinsic cues, integrated in the tumor niche, drives tumorigenesis and tumor progression. Critical mutations and distorted redox signaling pathways orchestrate pathologic events inside cancer cells, resulting in resistance to stress and death signals, aberrant proliferation and efficient repair mechanisms. Additionally, the complex inter-cellular crosstalk within the tumor niche, mediated by cytokines, redox-sensitive danger signals (HMGB1) and exosomes, under the pressure of multiple stresses (oxidative, inflammatory, metabolic), greatly contributes to the malignant phenotype. The tumor-associated inflammatory stress and its suppressive action on the anti-tumor immune response are highlighted. We further emphasize that ROS may act either as supporter or enemy of cancer cells, depending on the context. Oxidative stress-based therapies, such as radiotherapy and photodynamic therapy, take advantage of the cytotoxic face of ROS for killing tumor cells by a non-physiologically sudden, localized and intense oxidative burst. The type of tumor cell death elicited by these therapies is discussed. Therapy outcome depends on the differential sensitivity to oxidative stress of particular tumor cells, such as cancer stem cells, and therefore co-therapies that transiently down-regulate their intrinsic antioxidant system hold great promise. We draw attention on the consequences of the damage signals delivered by oxidative stress-injured cells to neighboring and distant cells, and emphasize the benefits of therapeutically triggered immunologic cell death in metastatic cancer. An integrative approach should be applied when designing therapeutic strategies in cancer, taking into consideration the mutational, metabolic, inflammatory and oxidative status of tumor cells, cellular heterogeneity and the

  18. The meaning and validation of social support networks for close family of persons with advanced cancer

    PubMed Central

    2012-01-01

    Background To strengthen the mental well-being of close family of persons newly diagnosed as having cancer, it is necessary to acquire a greater understanding of their experiences of social support networks, so as to better assess what resources are available to them from such networks and what professional measures are required. The main aim of the present study was to explore the meaning of these networks for close family of adult persons in the early stage of treatment for advanced lung or gastrointestinal cancer. An additional aim was to validate the study’s empirical findings by means of the Finfgeld-Connett conceptual model for social support. The intention was to investigate whether these findings were in accordance with previous research in nursing. Methods Seventeen family members with a relative who 8–14 weeks earlier had been diagnosed as having lung or gastrointestinal cancer were interviewed. The data were subjected to qualitative latent content analysis and validated by means of identifying antecedents and critical attributes. Results The meaning or main attribute of the social support network was expressed by the theme Confirmation through togetherness, based on six subthemes covering emotional and, to a lesser extent, instrumental support. Confirmation through togetherness derived principally from information, understanding, encouragement, involvement and spiritual community. Three subthemes were identified as the antecedents to social support: Need of support, Desire for a deeper relationship with relatives, Network to turn to. Social support involves reciprocal exchange of verbal and non-verbal information provided mainly by lay persons. Conclusions The study provides knowledge of the antecedents and attributes of social support networks, particularly from the perspective of close family of adult persons with advanced lung or gastrointestinal cancer. There is a need for measurement instruments that could encourage nurses and other health

  19. CyNetSVM: A Cytoscape App for Cancer Biomarker Identification Using Network Constrained Support Vector Machines.

    PubMed

    Shi, Xu; Banerjee, Sharmi; Chen, Li; Hilakivi-Clarke, Leena; Clarke, Robert; Xuan, Jianhua

    2017-01-01

    One of the important tasks in cancer research is to identify biomarkers and build classification models for clinical outcome prediction. In this paper, we develop a CyNetSVM software package, implemented in Java and integrated with Cytoscape as an app, to identify network biomarkers using network-constrained support vector machines (NetSVM). The Cytoscape app of NetSVM is specifically designed to improve the usability of NetSVM with the following enhancements: (1) user-friendly graphical user interface (GUI), (2) computationally efficient core program and (3) convenient network visualization capability. The CyNetSVM app has been used to analyze breast cancer data to identify network genes associated with breast cancer recurrence. The biological function of these network genes is enriched in signaling pathways associated with breast cancer progression, showing the effectiveness of CyNetSVM for cancer biomarker identification. The CyNetSVM package is available at Cytoscape App Store and http://sourceforge.net/projects/netsvmjava; a sample data set is also provided at sourceforge.net.

  20. CyNetSVM: A Cytoscape App for Cancer Biomarker Identification Using Network Constrained Support Vector Machines

    PubMed Central

    Chen, Li; Hilakivi-Clarke, Leena; Clarke, Robert

    2017-01-01

    One of the important tasks in cancer research is to identify biomarkers and build classification models for clinical outcome prediction. In this paper, we develop a CyNetSVM software package, implemented in Java and integrated with Cytoscape as an app, to identify network biomarkers using network-constrained support vector machines (NetSVM). The Cytoscape app of NetSVM is specifically designed to improve the usability of NetSVM with the following enhancements: (1) user-friendly graphical user interface (GUI), (2) computationally efficient core program and (3) convenient network visualization capability. The CyNetSVM app has been used to analyze breast cancer data to identify network genes associated with breast cancer recurrence. The biological function of these network genes is enriched in signaling pathways associated with breast cancer progression, showing the effectiveness of CyNetSVM for cancer biomarker identification. The CyNetSVM package is available at Cytoscape App Store and http://sourceforge.net/projects/netsvmjava; a sample data set is also provided at sourceforge.net. PMID:28122019

  1. Praxis-based research networks: an emerging paradigm for research that is rigorous, relevant and inclusive

    PubMed Central

    Werner, James J.; Stange, Kurt C.

    2016-01-01

    Practice-based research networks (PBRNs) have developed a grounded approach to conducting practice-relevant and translational research in community practice settings. Seismic shifts in the healthcare landscape are shaping PBRNs that work across organizational and institutional margins to address complex problems. Praxis-based research networks combine PBRN knowledge generation with multi-stakeholder learning, experimentation, and practical knowledge application. The catalytic processes in praxis-based research networks are cycles of action and reflection based on experience, observation, conceptualization, and experimentation by network members and partners. To facilitate co-learning and solution-building, these networks have a flexible architecture that allows pragmatic inclusion of stakeholders based on demands of the problem and the needs of the network. Praxis-based research networks represent an evolving trend that combines the core values of PBRNs with new opportunities for relevance, rigor, and broad participation. PMID:25381067

  2. National Cancer Information Service in Italy: an information points network as a new model for providing information for cancer patients.

    PubMed

    Truccolo, Ivana; Bufalino, Rosaria; Annunziata, Maria Antonietta; Caruso, Anita; Costantini, Anna; Cognetti, Gaetana; Florita, Antonio; Pero, Dina; Pugliese, Patrizia; Tancredi, Roberta; De Lorenzo, Francesco

    2011-01-01

    The international literature data report that good information and communication are fundamental components of a therapeutic process. They contribute to improve the patient-health care professional relationship, to facilitate doctor-patient relationships, therapeutic compliance and adherence, and to the informed consent in innovative clinical trials. We report the results of a multicentric national initiative that developed a 17-information-structure network: 16 Information Points located in the major state-funded certified cancer centers and general hospitals across Italy and a national Help-line at the nonprofit organization AIMaC (the Italian oncologic patients, families and friends association), and updated the already existing services with the aim to create the National Cancer Information Service (SION). The project is the result of a series of pilot and research projects funded by the Italian Ministry of Health. The Information Service model proposed is based on some fundamental elements: 1) human interaction with experienced operators, adequately trained in communication and information, complemented with 2) virtual interaction (Help line, Internet, blog, forum and social network); 3) informative material adequate for both scientific accuracy and communicative style; 4) adequate locations for appropriate positioning and privacy (adequate visibility); 5) appropriate advertising. First results coming from these initiatives contributed to introduce issues related to "Communication and Information to patients" as a "Public Health Instrument" to the National Cancer Plan approved by the Ministry of Health for the years 2010-2012.

  3. Research progress in applying proteomics technology to explore early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.

    PubMed

    Luo, Lu; Dong, Li-You; Yan, Qi-Gui; Cao, San-Jie; Wen, Xin-Tian; Huang, Yong; Huang, Xiao-Bo; Wu, Rui; Ma, Xiao-Ping

    2014-01-01

    According to the China tumor registry 2013 annual report , breast cancer, lung cancer, and ovarian cancer are three common cancers in China nowadays, with high mortality due to the absence of early diagnosis technology. However, proteomics has been widespreadly implanted into every field of life science and medicine as an important part of post-genomics era research. The development of theory and technology in proteomics has provided new ideas and research fields for cancer research. Proteomics can be used not only for elucidating the mechanisms of carcinogenesis focussing on whole proteins of the tissue or cell, but also seeking the biomarkers for diagnosis and therapy of cancer. In this review, we introduce proteomics principles, covering current technology used in exploring early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.

  4. Summit of the Research Coordination Networks for Undergraduate Biology Education

    PubMed Central

    Eaton, Carrie Diaz; Allen, Deborah; Anderson, Laurel J.; Bowser, Gillian; Pauley, Mark A.; Williams, Kathy S.; Uno, Gordon E.

    2016-01-01

    The first summit of projects funded by the National Science Foundation’s Research Coordination Networks for Undergraduate Biology Education (RCN-UBE) program was held January 14–16, 2016, in Washington, DC. Sixty-five scientists and science educators from 38 of the 41 Incubator and Full RCN-UBE awards discussed the value and contributions of RCNs to the national biology education reform effort. The summit illustrated the progress of this innovative UBE track, first awarded in 2009. Participants shared experiences regarding network development and growth, identified best practices and challenges faced in network management, and discussed work accomplished. We report here on key aspects of network evaluation, characteristics of successful networks, and how to sustain and broaden participation in networks. Evidence from successful networks indicates that 5 years (the length of a Full RCN-UBE) may be insufficient time to produce a cohesive and effective network. While online communication promotes the activities of a network and disseminates effective practices, face-to-face meetings are critical for establishing ties between network participants. Creation of these National Science Foundation–funded networks may be particularly useful for consortia of faculty working to address problems or exchange novel solutions discovered while introducing active-learning methods and/or course-based research into their curricula.

  5. Research on scheme of applying ASON to current networks

    NASA Astrophysics Data System (ADS)

    Mao, Y. F.; Li, J. R.; Deng, L. J.

    2008-10-01

    Automatically Switched Optical Network (ASON) is currently a new and hot research subject in the world. It can provide high bandwidth, high assembly flexibility, high network security and reliability, but with a low management cost. It is presented to meet the requirements for high-throughput optical access with stringent Quality of Service (QoS). But as a brand new technology, ASON can not be supported by the traditional protocol software and network equipments. And the approach to build a new ASON network on the basis of completely abandoning the traditional optical network facilities is not desirable, because it costs too much and wastes a lot of network resources can also be used. So how to apply ASON to the current networks and realize the smooth transition between the existing network and ASON has been a serious problem to many network operators. In this research, the status in quo of ASON is introduced first and then the key problems should be considered when applying ASON to current networks are discussed. Based on this, the strategies should be complied with to overcome these key problems are listed. At last, the approach to apply ASON to the current optical networks is proposed and analyzed.

  6. Prostate Cancer Research Training in Health Disparities for Minority Undergraduates

    DTIC Science & Technology

    2013-04-01

    cancer, Dietary risk factors, Lycopene , Genetic predisposition, African-Americans, Cancer research training, Quality of life, Community outreach...Regulation of the Erk signaling pathway by the PPAR gamma ligand troglitazone. 3). The role of lycopene (antioxidant) in prostate cancer risk among

  7. California Cancer Registry Enhancement for Breast Cancer Research

    DTIC Science & Technology

    1998-10-01

    programs to correlate screening status with subsequent diagnostic status. In collaboration with the California Breast and Cervical Cancer Control...screened for breast and cervical cancer with a CCR file of all female cancer cases diagnosed between 1988 and 1997 that were available to the CCR as of...BC, April 22, 1998. 5. Schulman J, Richardson L, Sever L, Wolters C. Follow-Up and Treatment Issues in the National Breast and Cervical Cancer Early

  8. Detection of driver pathways using mutated gene network in cancer.

    PubMed

    Li, Feng; Gao, Lin; Ma, Xiaoke; Yang, Xiaofei

    2016-06-21

    Distinguishing driver pathways has been extensively studied because they are critical for understanding the development and molecular mechanisms of cancers. Most existing methods for driver pathways are based on high coverage as well as high mutual exclusivity, with the underlying assumption that mutations are exclusive. However, in many cases, mutated driver genes in the same pathways are not strictly mutually exclusive. Based on this observation, we propose an index for quantifying mutual exclusivity between gene pairs. Then, we construct a mutated gene network for detecting driver pathways by integrating the proposed index and coverage. The detection of driver pathways on the mutated gene network consists of two steps: raw pathways are obtained using a CPM method, and the final driver pathways are selected using a strict testing strategy. We apply this method to glioblastoma and breast cancers and find that our method is more accurate than state-of-the-art methods in terms of enrichment of KEGG pathways. Furthermore, the detected driver pathways intersect with well-known pathways with moderate exclusivity, which cannot be discovered using the existing algorithms. In conclusion, the proposed method provides an effective way to investigate driver pathways in cancers.

  9. Translating cancer prevention and control research into the community setting: workforce implications.

    PubMed

    Harrop, J Phil; Nelson, David E; Kuratani, Darrah Goo; Mullen, Patricia Dolan; Paskett, Electra D

    2012-05-01

    A gap exists between cancer prevention research and its translation into community practice. Two strategies to reduce this gap are community-based participatory research (CBPR) and dissemination research. CBPR offers an avenue to engage academic and community partners, thereby providing mechanisms for joint learning and application of knowledge. Dissemination research examines the movement of evidence-based public health and clinical innovations to practice settings. While applying these approaches may reduce the gap between research and practice, the cancer prevention workforce may be inadequate in size, insufficiently trained, lack resources and incentives, or face structural barriers to effectively participate in CBPR and disseminate evidence-based research findings into practice. Information on translating cancer prevention information to communities and workforce implications was obtained from a panel of experts and through a review of the literature on CBPR and dissemination research. The expert panel and literature review identified major barriers to successfully conducting CBPR and dissemination research in community settings. Barriers included inadequate policies; insufficient networking and communication infrastructures; unsupportive research cultures, climates, and mindsets; inadequate researcher and practitioner education; and limited CBPR and dissemination research with adequate study designs. No specific estimates of the cancer prevention workforce were found; however, indirect evidence for a shortfall were identified. We recommend expanding CBPR training for academic and community partners; increasing funding for dissemination research and practice; supporting proven partnerships; and providing strategic coordination for government agencies, research institutions, nongovernmental organizations, and the private sector to foster better dissemination of information and integration of community-based cancer prevention and control programs and practices

  10. Control of Asymmetric Hopfield Networks and Application to Cancer Attractors

    PubMed Central

    Szedlak, Anthony; Paternostro, Giovanni; Piermarocchi, Carlo

    2014-01-01

    The asymmetric Hopfield model is used to simulate signaling dynamics in gene regulatory networks. The model allows for a direct mapping of a gene expression pattern into attractor states. We analyze different control strategies aimed at disrupting attractor patterns using selective local fields representing therapeutic interventions. The control strategies are based on the identification of signaling bottlenecks, which are single nodes or strongly connected clusters of nodes that have a large impact on the signaling. We provide a theorem with bounds on the minimum number of nodes that guarantee control of bottlenecks consisting of strongly connected components. The control strategies are applied to the identification of sets of proteins that, when inhibited, selectively disrupt the signaling of cancer cells while preserving the signaling of normal cells. We use an experimentally validated non-specific and an algorithmically-assembled specific B cell gene regulatory network reconstructed from gene expression data to model cancer signaling in lung and B cells, respectively. Among the potential targets identified here are TP53, FOXM1, BCL6 and SRC. This model could help in the rational design of novel robust therapeutic interventions based on our increasing knowledge of complex gene signaling networks. PMID:25170874

  11. Fox Chase Cancer Center's Genitourinary Division: a national resource for research, innovation and patient care.

    PubMed

    Uzzo, Robert G; Horwitz, Eric M; Plimack, Elizabeth R

    2016-04-01

    Founded in 1904, Fox Chase Cancer Center remains committed to its mission. It is one of 41 centers in the country designated as a Comprehensive Cancer Center by the National Cancer Institute, is a founding member of the National Comprehensive Cancer Network, holds the magnet designation for nursing excellence, is one of the first to establish a family cancer risk assessment program, and has achieved national distinction because of the scientific discoveries made there that have advanced clinical care. Two of its researchers have won Nobel prizes. The Genitourinary Division is nationally recognized and viewed as one of the top driving forces behind the growth of Fox Chase due to its commitment to initiating and participating in clinical trials, its prolific contributions to peer-reviewed publications and presentations at scientific meetings, its innovations in therapies and treatment strategies, and its commitment to bringing cutting-edge therapies to patients.

  12. Ocean Research - Perspectives from an international Ocean Research Coordination Network

    NASA Astrophysics Data System (ADS)

    Pearlman, Jay; Williams, Albert, III

    2013-04-01

    The need for improved coordination in ocean observations is more urgent now given the issues of climate change, sustainable food sources and increased need for energy. Ocean researchers must work across disciplines to provide policy makers with clear and understandable assessments of the state of the ocean. With advances in technology, not only in observation, but also communication and computer science, we are in a new era where we can answer questions asked over the last 100 years at the time and space scales that are relevant. Programs like GLOBEC moved us forward but we are still challenged by the disciplinary divide. Interdisciplinary problem solving must be addressed not only by the exchange of data between the many sides, but through levels where questions require day-to-day collaboration. A National Science Foundation-funded Research Coordination Network (RCN) is addressing approaches for improving interdisciplinary research capabilities in the ocean sciences. During the last year, the RCN had a working group for Open Data led by John Orcutt, Peter Pissierssens and Albert Williams III. The teams has focused on three areas: 1. Data and Information formats and standards; 2. Data access models (including IPR, business models for open data, data policies,...); 3. Data publishing, data citation. There has been a significant trend toward free and open access to data in the last few years. In 2007, the US announced that Landsat data would be available at no charge. Float data from the US (NDBC), JCOMM and OceanSites offer web-based access. The IODE is developing its Ocean Data Portal giving immediate and free access to ocean data. However, from the aspect of long-term collaborations across communities, this global trend is less robust than might appear at the surface. While there are many standard data formats for data exchange, there is not yet widespread uniformity in their adoption. Use of standard data formats can be encouraged in several ways: sponsors of

  13. Research on Individualized Product Requirement Expression Based on Semantic Network

    NASA Astrophysics Data System (ADS)

    Yang, Qin; Pan, Xiuqin; Wei, Daozhu; Wu, Ke

    In order to establish an effective platform for individualized product development, the individualized product requirement expression forms were put forward. The diversity Semantic Network of product knowledge representation was researched based on the dualistic semantic network, and the product requirement framework model was established. Thereby the validity, reliability and consistency of the requirement expression process were ensured. Finally an example of customer requirement expression model about differential mechanism based on semantic network was described to satisfy with the individualized product design system.

  14. Research in Network Management Techniques for Tactical Data Communications Networks.

    DTIC Science & Technology

    1982-09-01

    packet radio can be found in the paper by Gitman , Van Slyke, and Frank ( 4 ) . An earlier version of this paper was presented at ICC’O(S). More details can...Communications, Vol. COM-25, pp. 169-178, January 1977. [41 I. Gitman , R. Van Slyke, and H. Frank, ’Routing in packet-switching broadcast radio networks...packet is being by Gitman , Van Slyke, and Frank ( 4 ) . rebroadcast by a neighbor. If after a prespecified time interval, the transmitting node does not

  15. Job Opening for Medical Officer in DCP’s Breast and Gynecologic Cancer Research Group | Division of Cancer Prevention

    Cancer.gov

    The Breast and Gynecologic Cancer Research Group (BGCRG), Division of Cancer Prevention (DCP), National Cancer Institute (NCI), has an opening for an experienced Medical Officer. BGCRG focuses on fostering the development and conduct of research on the prevention and early detection of breast cancer, cervix and human papillomavirus (HPV)-related cancers, endometrial cancers, ovarian cancers, and precursor conditions related to these cancers. Learn more about BGCRG. |

  16. Identifying emerging research collaborations and networks: Method development

    PubMed Central

    Dozier, Ann M.; Martina, Camille A.; O’Dell, Nicole L.; Fogg, Thomas T.; Lurie, Stephen J.; Rubinstein, Eric P.; Pearson, Thomas A.

    2014-01-01

    Clinical and translational research is a multidisciplinary, collaborative team process. To evaluate this process, we developed a method to document emerging research networks and collaborations in our medical center to describe their productivity and viability over time. Using an email survey, sent to 1,620 clinical and basic science full-and part-time faculty members, respondents identified their research collaborators. Initial analyses, using Pajek software, assessed the feasibility of using social network analysis (SNA) methods with these data. Nearly 400 respondents identified 1,594 collaborators across 28 medical center departments resulting in 309 networks with 5 or more collaborators. This low-burden approach yielded a rich dataset useful for evaluation using SNA to: a) assess networks at several levels of the organization, including intrapersonal (individuals), interpersonal (social), organizational/institutional leadership (tenure and promotion), and physical/environmental (spatial proximity) and b) link with other data to assess the evolution of these networks. PMID:24019209

  17. X ray imaging microscope for cancer research

    NASA Technical Reports Server (NTRS)

    Hoover, Richard B.; Shealy, David L.; Brinkley, B. R.; Baker, Phillip C.; Barbee, Troy W., Jr.; Walker, Arthur B. C., Jr.

    1991-01-01

    The NASA technology employed during the Stanford MSFC LLNL Rocket X Ray Spectroheliograph flight established that doubly reflecting, normal incidence multilayer optics can be designed, fabricated, and used for high resolution x ray imaging of the Sun. Technology developed as part of the MSFC X Ray Microscope program, showed that high quality, high resolution multilayer x ray imaging microscopes are feasible. Using technology developed at Stanford University and at the DOE Lawrence Livermore National Laboratory (LLNL), Troy W. Barbee, Jr. has fabricated multilayer coatings with near theoretical reflectivities and perfect bandpass matching for a new rocket borne solar observatory, the Multi-Spectral Solar Telescope Array (MSSTA). Advanced Flow Polishing has provided multilayer mirror substrates with sub-angstrom (rms) smoothnesss for the astronomical x ray telescopes and x ray microscopes. The combination of these important technological advancements has paved the way for the development of a Water Window Imaging X Ray Microscope for cancer research.

  18. Single-cell sequencing in cancer research.

    PubMed

    Mato Prado, Mireia; Frampton, Adam E; Stebbing, Justin; Krell, Jonathan

    2016-01-01

    Genome-wide single-cell sequencing investigations have the potential to classify individual cells within a tumor mass. In recent years, various single-cell DNA and RNA quantification techniques have facilitated significant advances in our ability to classify subpopulations of cells within a heterogeneous population. These approaches provide the possibility of unraveling the complex variability in genetic, epigenetic and transcriptional interactions that occur within identical cells in a tumor. This should enhance our knowledge of the underlying biological phenotypes and could have a huge impact in designing more precise anticancer treatments in order to improve outcomes and avoid tumor resistance. In addition, single-cell sequencing analysis has the potential to allow the development of better diagnostic and prognostic biomarkers, and thus aid the delivery of more personalized targeted cancer therapy. Nevertheless, further research is still required to overcome technical, biological and computational problems before clinical application.

  19. Developing a Virtual Network of Research Observatories

    NASA Astrophysics Data System (ADS)

    Hooper, R. P.; Kirschtl, D.

    2008-12-01

    The hydrologic community has been discussing the concept of a network of observatories for the advancement of hydrologic science in areas of scaling processes, in testing generality of hypotheses, and in examining non-linear couplings between hydrologic, biotic, and human systems. The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is exploring the formation of a virtual network of observatories, formed from existing field studies without regard to funding source. Such a network would encourage sharing of data, metadata, field methods, and data analysis techniques to enable multidisciplinary synthesis, meta-analysis, and scientific collaboration in hydrologic and environmental science and engineering. The virtual network would strive to provide both the data and the environmental context of the data through advanced cyberinfrastructure support. The foundation for this virtual network is Water Data Services that enable the publication of time-series data collected at fixed points using a services-oriented architecture. These publication services, developed in the CUAHSI Hydrologic Information Systems project, permit the discovery of data from both academic and government sources through a single portal. Additional services under consideration are publication of geospatial data sets, immersive environments based upon site digital elevation models, and a common web portal to member sites populated with structured data about the site (such as land use history and geologic setting) to permit understanding the environmental context of the data being shared.

  20. Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges

    PubMed Central

    Radi, Marjan; Dezfouli, Behnam; Bakar, Kamalrulnizam Abu; Lee, Malrey

    2012-01-01

    A wireless sensor network is a large collection of sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for wireless sensor networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for wireless sensor networks. PMID:22368490

  1. Multipath routing in wireless sensor networks: survey and research challenges.

    PubMed

    Radi, Marjan; Dezfouli, Behnam; Abu Bakar, Kamalrulnizam; Lee, Malrey

    2012-01-01

    A wireless sensor network is a large collection of sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for wireless sensor networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for wireless sensor networks.

  2. The adoption of alcohol pharmacotherapies in the Clinical Trials Network: the influence of research network participation.

    PubMed

    Abraham, Amanda J; Knudsen, Hannah K; Rothrauff, Tanja C; Roman, Paul M

    2010-04-01

    Organizational participation in clinical research may lead to adoption of the intervention by treatment agencies, but it is not known whether research involvement enhances innovativeness beyond the specific interventions that are tested. The National Institute on Drug Abuse's Clinical Trials Network (CTN) is a platform for considering this research question. To date, the CTN has not conducted research on medications for alcohol use disorders (AUDs), so greater adoption of innovative AUD pharmacotherapies by CTN-affiliated programs would suggest an added value of research network participation. Using longitudinal data from a pooled sample of CTN and non-CTN publicly funded treatment programs, we investigate adoption of tablet naltrexone and acamprosate over a 2-year period. CTN-affiliated programs were more likely to have adopted tablet naltrexone and acamprosate at 24-month follow-up, net of the effects of a range of organizational characteristics. Research network participation may thus enhance organizational innovativeness to include interventions beyond the scope of the network.

  3. Learning Networks--Enabling Change through Community Action Research

    ERIC Educational Resources Information Center

    Bleach, Josephine

    2016-01-01

    Learning networks are a critical element of ethos of the community action research approach taken by the Early Learning Initiative at the National College of Ireland, a community-based educational initiative in the Dublin Docklands. Key criteria for networking, whether at local, national or international level, are the individual's and…

  4. The National Research and Education Network (NREN): A Bibliography.

    ERIC Educational Resources Information Center

    Hodson, James, Comp.

    This bibliography brings together sources, through August 1991, on the National Research and Education Network (NREN) and related topics, including computer networks, databases, information technology, library automation, microcomputers, and online systems. Where possible, a brief biographical note on the author is included, and most of the…

  5. Network Utopias and Alternative Entanglements for Educational Research and Practice

    ERIC Educational Resources Information Center

    Frankham, Jo

    2006-01-01

    "The network" has achieved a form of "institutionalized utopianism" in the recent past and is posited as a neo-liberal solution to social scientific researchers and education practitioners learning with and from one another. This paper first outlines why the metaphor of the network is so persuasive. It goes on to problematize some of the key…

  6. Translational research in cancer genetics: the road less traveled.

    PubMed

    Schully, S D; Benedicto, C B; Gillanders, E M; Wang, S S; Khoury, M J

    2011-01-01

    Gene discoveries in cancer have the potential for clinical and public health applications. To take advantage of such discoveries, a translational research agenda is needed to take discoveries from the bench to population health impact. To assess the current status of translational research in cancer genetics, we analyzed the extramural grant portfolio of the National Cancer Institute (NCI) from Fiscal Year 2007, as well as the cancer genetic research articles published in 2007. We classified both funded grants and publications as follows: T0 as discovery research; T1 as research to develop a candidate health application (e.g., test or therapy); T2 as research that evaluates a candidate application and develops evidence-based recommendations; T3 as research that assesses how to integrate an evidence-based recommendation into cancer care and prevention; and T4 as research that assesses health outcomes and population impact. We found that 1.8% of the grant portfolio and 0.6% of the published literature was T2 research or beyond. In addition to discovery research in cancer genetics, a translational research infrastructure is urgently needed to methodically evaluate and translate gene discoveries for cancer care and prevention.

  7. Research highlights about contributions on cancer published in Electronic Physician Journal between 2009 and 2015.

    PubMed

    Khelassi, Abdeljalil

    2016-12-01

    This article aims to highlight the important research work on cancer published in Electronic Physician Journal. The journal has published 18 articles concerning cancer research, i.e., two review articles, two case reports, and 14 original articles from 2009 through 2015. The types of cancer are breast cancer, prostate cancer, ovarian cancer, leukemia, cervical cancer, rectal cancer, and papillary thyroid Cancer. In addition, the articles have addressed several aspects of cancer, including prevention, diagnosis, follow-up, and therapy.

  8. Research highlights about contributions on cancer published in Electronic Physician Journal between 2009 and 2015

    PubMed Central

    Khelassi, Abdeljalil

    2016-01-01

    This article aims to highlight the important research work on cancer published in Electronic Physician Journal. The journal has published 18 articles concerning cancer research, i.e., two review articles, two case reports, and 14 original articles from 2009 through 2015. The types of cancer are breast cancer, prostate cancer, ovarian cancer, leukemia, cervical cancer, rectal cancer, and papillary thyroid Cancer. In addition, the articles have addressed several aspects of cancer, including prevention, diagnosis, follow-up, and therapy. PMID:28163841

  9. What's New in Nasal Cavity and Paranasal Sinus Cancer Research and Treatment?

    MedlinePlus

    ... About Nasal Cavity and Paranasal Sinus Cancer What’s New in Nasal Cavity and Paranasal Sinus Cancer Research ... About Nasal Cavity and Paranasal Sinus Cancers? What’s New in Nasal Cavity and Paranasal Sinus Cancer Research ...

  10. Brain network alterations and vulnerability to simulated neurodegeneration in breast cancer.

    PubMed

    Kesler, Shelli R; Watson, Christa L; Blayney, Douglas W

    2015-08-01

    Breast cancer and its treatments are associated with mild cognitive impairment and brain changes that could indicate an altered or accelerated brain aging process. We applied diffusion tensor imaging and graph theory to measure white matter organization and connectivity in 34 breast cancer survivors compared with 36 matched healthy female controls. We also investigated how brain networks (connectomes) in each group responded to simulated neurodegeneration based on network attack analysis. Compared with controls, the breast cancer group demonstrated significantly lower fractional anisotropy, altered small-world connectome properties, lower brain network tolerance to systematic region (node), and connection (edge) attacks and significant cognitive impairment. Lower tolerance to network attack was associated with cognitive impairment in the breast cancer group. These findings provide further evidence of diffuse white matter pathology after breast cancer and extend the literature in this area with unique data demonstrating increased vulnerability of the post-breast cancer brain network to future neurodegenerative processes.

  11. 7th meeting of the global arthritis research network

    PubMed Central

    2011-01-01

    Last October, the 7th meeting of the Global Arthritis Research Network was held in Zurich, Switzerland. European and American experts who have made major recent contributions to molecular biology got together to provide insights into novel technologies and approaches useful for biomedical research, especially for research on arthritis and related conditions. PMID:21892971

  12. Breast cancer publication network: profile of co-authorship and co-organization

    PubMed Central

    Biglu, Mohammad-Hossein; Abotalebi, Parvaneh; Ghavami, Mostafa

    2016-01-01

    Introduction: Breast cancer is one of the highest reasons of deaths for people in the world. The objective of current study is to analyze and visualize the trend of global scientific activities in the field of breast cancer during a period of 10 years through 2006-2015. Methods: The current study was performed by utilizing the scientometrics analysis and mapping the co-authorship and co-organization networks. The Web of Science Core Collection (WoS-CC)database was used to extract all papers indexed as a topic of breast cancer through 2006 to 2015. Research productivity was measured through analysis several parameters, including: the number and time course of publications, the journal and language of publications, the frequency and type of publications, as well as top 20 active sub-categories together with country contribution. The extracted data were transferred into the Excel charts and plotted as diagrams. The Science of Science (Sci2) and CiteSpace softwares were used as tools for mapping the co-authorship and co-organization networks of the published papers. Results: Analysis of data indicated that the number of publications in the field of breast cancer has linearly increased and correlated with the time-course of the study. The number of publication indexed in WoS-CC in 2015 was two times greater than that of 2006, which reached from 15 229 documents in 2006 to 30 667 documents in 2015. English Language accounted for 98% of total publications as the most dominant language. The vast majority of publications' type was in the form of original journal articles (64.7%). Based on Bradford scatterings law, the journal of "Cancer Research" was the most productive journal among the core journals, while the USA, China, and England were the most prolific countries in the field. The co-organization network indicated the dominant role of Harvard University in the field. Conclusion: The integrity of network indicated that scientists in the field of breast cancer

  13. Breast cancer publication network: profile of co-authorship and co-organization.

    PubMed

    Biglu, Mohammad-Hossein; Abotalebi, Parvaneh; Ghavami, Mostafa

    2016-01-01

    Introduction: Breast cancer is one of the highest reasons of deaths for people in the world. The objective of current study is to analyze and visualize the trend of global scientific activities in the field of breast cancer during a period of 10 years through 2006-2015. Methods: The current study was performed by utilizing the scientometrics analysis and mapping the co-authorship and co-organization networks. The Web of Science Core Collection (WoS-CC)database was used to extract all papers indexed as a topic of breast cancer through 2006 to 2015. Research productivity was measured through analysis several parameters, including: the number and time course of publications, the journal and language of publications, the frequency and type of publications, as well as top 20 active sub-categories together with country contribution. The extracted data were transferred into the Excel charts and plotted as diagrams. The Science of Science (Sci2) and CiteSpace softwares were used as tools for mapping the co-authorship and co-organization networks of the published papers. Results: Analysis of data indicated that the number of publications in the field of breast cancer has linearly increased and correlated with the time-course of the study. The number of publication indexed in WoS-CC in 2015 was two times greater than that of 2006, which reached from 15 229 documents in 2006 to 30 667 documents in 2015. English Language accounted for 98% of total publications as the most dominant language. The vast majority of publications' type was in the form of original journal articles (64.7%). Based on Bradford scatterings law, the journal of "Cancer Research" was the most productive journal among the core journals, while the USA, China, and England were the most prolific countries in the field. The co-organization network indicated the dominant role of Harvard University in the field. Conclusion: The integrity of network indicated that scientists in the field of breast cancer

  14. Scottish Stroke Research Network: the first three years.

    PubMed

    McCormick, K; Langhorne, P; Graham, F E J; McFarlane, C

    2010-08-01

    Research networks were introduced in the UK to facilitate and improve clinical research and stroke was seen as a priority topic for local research network development. The Scottish Stroke Research Network (SSRN) is one of 11 stroke research networks in the UK. In this article we review the progress of the Scottish Stroke Research Network in the three years since inception. Between 2006-2009 the number of active hospital research sites has increased from 10 to 22 expanding to involve 20 stroke research nurses. There was a corresponding 58% increase in recruitment of participants into stroke studies, from 376 in 2006/07 to 594 in 2008/09. The majority (17/20) of our current studies are interventional. Data from one of these, the CLOTs trial (Clots in Legs Or sTocking after Stroke), demonstrates that the annual recruitment in Scotland increased from a median of 94 (range 6-122) patients per year in the six years before the SSRN, to 140 (135-158) patients per year after SSRN involvement. We currently screen about 50% of Scottish stroke patients and approximately 5% of Scottish stroke patients are participating in research studies that we support. The SSRN has made good progress in the first three years. Increasing the recruitment of screened patients remains a challenge.

  15. 75 FR 80853 - Designing a Digital Future: Federally Funded Research and Development in Networking and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-23

    ... Technology AGENCY: National Coordination Office (NCO) for the Networking and Information Technology Research... Technology''. ACTION: Request for Information (RFI). SUMMARY: Networking and Information Technology Research... a Digital Future: Federally Funded Research and Development in Networking and Information...

  16. microRNA and gene networks in human pancreatic cancer

    PubMed Central

    ZHU, MINGHUI; XU, ZHIWEN; WANG, KUNHAO; WANG, NING; LI, YANG

    2013-01-01

    To date, scientists have obtained a substantial amount of knowledge with regard to genes and microRNAs (miRNAs) in pancreatic cancer (PC). However, deciphering the regulatory mechanism of these genes and miRNAs remains difficult. In the present study, three regulatory networks consisting of a differentially-expressed network, a related network and a global network, were constructed in order to identify the mechanisms and certain key miRNA and gene pathways in PC. The interactions between transcription factors (TFs) and miRNAs, miRNAs and target genes and an miRNA and its host gene were investigated. The present study compared and analyzed the similarities and differences between the three networks in order to distinguish the key pathways. Certain pathways involving the differentially-expressed genes and miRNAs demonstrated specific features. TP53 and hsa-miR-125b were observed to form a self-adaptation association. A further 16 significant differentially-expressed miRNAs were obtained and it was observed that an miRNA and its host gene exhibit specific features in PC, for example, hsa-miR-196a-1 and its host gene, HOXB7, form a self-adaptation association. The differentially-expressed network partially illuminated the mechanism of PC. The present study provides comprehensive data that is associated with PC and may aid future studies in obtaining pertinent data results with regards to PC. In the future, an improved understanding of PC may be obtained through an increased knowledge of the occurrence, mechanism, improvement, metastasis and treatment of the disease. PMID:24137477

  17. The John Milner Nutrition and Cancer Prevention Research Practicum | Division of Cancer Prevention

    Cancer.gov

    The Nutritional Science Research Group in the Division of Cancer Prevention at the National Cancer Institute, National Institutes of Health and the Department of Nutrition at the Clinical Center, National Institutes of Health, and the U.S. Department of Agriculture’s Beltsville Human Nutrition Research Center are offering a one-week educational opportunity in Nutrition and Cancer Prevention Research for individuals with a sustained commitment to nutrition and health promotion. |

  18. The John Milner Nutrition and Cancer Prevention Research Practicum | Division of Cancer Prevention

    Cancer.gov

    The Nutritional Science Research Group in the Division of Cancer Prevention at the National Cancer Institute, National Institutes of Health and the Department of Nutrition at the Clinical Center, National Institutes of Health, and the US Department of Agriculture's Beltsville Human Nutrition Research Center are offering a one week educational opportunity in "Nutrition and Cancer Prevention Research" for individuals with a sustained commitment to nutrition and health promotion. |

  19. Advancing Cancer Control Through Research and Cancer Registry Collaborations in the Caribbean

    PubMed Central

    Banydeen, Rishika; Rose, Angela M.C.; Martin, Damali; Aiken, William; Alexis, Cheryl; Andall-Brereton, Glennis; Ashing, Kimlin; Avery, J. Gordon; Avery, Penny; Deloumeaux, Jacqueline; Ekomaye, Natasha; Gabriel, Owen; Hassell, Trevor; Hughes, Lowell; Hutton, Maisha; Jyoti, Shravana Kumar; Layne, Penelope; Luce, Danièle; Patrick, Alan; Prussia, Patsy; Smith-Ravin, Juliette; Veronique-Baudin, Jacqueline; Blackman, Elizabeth; Roach, Veronica; Ragin, Camille

    2016-01-01

    Background Few national registries exist in the Caribbean, resulting in limited cancer statistics being available for the region. Therefore, estimates are frequently based on the extrapolation of mortality data submitted to the World Health Organization. Thus, regional cancer surveillance and research need promoting, and their synergy must be strengthened. However, differences between countries outweigh similarities, hampering registration and availability of data. Methods The African-Caribbean Cancer Consortium (AC3) is a broad-based resource for education, training, and research on all aspects of cancer in populations of African descent. The AC3 focuses on capacity building in cancer registration in the Caribbean through special topics, training sessions, and biannual meetings. We review the results from selected AC3 workshops, including an inventory of established cancer registries in the Caribbean region, current cancer surveillance statistics, and a review of data quality. We then describe the potential for cancer research surveillance activities and the role of policymakers. Results Twelve of 30 Caribbean nations have cancer registries. Four of these nations provide high-quality incidence data, thus covering 14.4% of the population; therefore, regional estimates are challenging. Existing research and registry collaborations must pave the way and are facilitated by organizations like the AC3. Conclusions Improved coverage for cancer registrations could help advance health policy through targeted research. Capacity building, resource optimization, collaboration, and communication between cancer surveillance and research teams are key to obtaining robust and complete data in the Caribbean. PMID:26678981

  20. Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD) for brain cancer.

    PubMed

    Huang, Ying; Ma, Jing; Porter, Alan L; Kwon, Seokbeom; Zhu, Donghua

    2015-01-01

    The rapid development of new and emerging science & technologies (NESTs) brings unprecedented challenges, but also opportunities. In this paper, we use bibliometric and social network analyses, at country, institution, and individual levels, to explore the patterns of scientific networking for a key nano area - nano-enabled drug delivery (NEDD). NEDD has successfully been used clinically to modulate drug release and to target particular diseased tissues. The data for this research come from a global compilation of research publication information on NEDD directed at brain cancer. We derive a family of indicators that address multiple facets of research collaboration and knowledge transfer patterns. Results show that: (1) international cooperation is increasing, but networking characteristics change over time; (2) highly productive institutions also lead in influence, as measured by citation to their work, with American institutes leading; (3) research collaboration is dominated by local relationships, with interesting information available from authorship patterns that go well beyond journal impact factors. Results offer useful technical intelligence to help researchers identify potential collaborators and to help inform R&D management and science & innovation policy for such nanotechnologies.

  1. MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer

    PubMed Central

    Lee, Chia-Hsien; Kuo, Wen-Hong; Lin, Chen-Ching; Oyang, Yen-Jen; Huang, Hsuan-Cheng; Juan, Hsueh-Fen

    2013-01-01

    MicroRNAs, which are small endogenous RNA regulators, have been associated with various types of cancer. Breast cancer is a major health threat for women worldwide. Many miRNAs were reported to be associated with the progression and carcinogenesis of breast cancer. In this study, we aimed to discover novel breast cancer-related miRNAs and to elucidate their functions. First, we identified confident miRNA-target pairs by combining data from miRNA target prediction databases and expression profiles of miRNA and mRNA. Then, miRNA-regulated protein interaction networks (PINs) were constructed with confident pairs and known interaction data in the human protein reference database (HPRD). Finally, the functions of miRNA-regulated PINs were elucidated by functional enrichment analysis. From the results, we identified some previously reported breast cancer-related miRNAs and functions of the PINs, e.g., miR-125b, miR-125a, miR-21, and miR-497. Some novel miRNAs without known association to breast cancer were also found, and the putative functions of their PINs were also elucidated. These include miR-139 and miR-383. Furthermore, we validated our results by receiver operating characteristic (ROC) curve analysis using our miRNA expression profile data, gene expression-based outcome for breast cancer online (GOBO) survival analysis, and a literature search. Our results may provide new insights for research in breast cancer-associated miRNAs. PMID:23722663

  2. Research Universities as Knowledge Networks: The Role of Institutional Research

    ERIC Educational Resources Information Center

    Chirikov, Igor

    2013-01-01

    This article focuses on the elaboration of institutional research practice, which is an important element of any research university. The study addresses three questions. First, how did institutional research arise, and what is its raison d'etre in a research university? Second, how can institutional research contribute to the improvement of the…

  3. Unravelling the Social Network: Theory and Research

    ERIC Educational Resources Information Center

    Merchant, Guy

    2012-01-01

    Despite the widespread popularity of social networking sites (SNSs) amongst children and young people in compulsory education, relatively little scholarly work has explored the fundamental issues at stake. This paper makes an original contribution to the field by locating the study of this online activity within the broader terrain of social…

  4. Innovation Network. SSTA Research in Brief.

    ERIC Educational Resources Information Center

    Saskatchewan School Trustees Association, Regina.

    School systems face the challenge of meeting high expectations with limited resources. Reductions in operating grants and increasing expenditures have exaggerated the problem. The Innovation Network was established by the Saskatchewan School Trustees Association in 1995 to help boards of education make the best use of available resources. This…

  5. Breast Cancer Translational Research Center of Excellence

    DTIC Science & Technology

    2015-09-01

    characterizing SOX10-zyxin interaction on molecular basis. Aim4. Development of novel Ruthenium (Ru)-compounds as anti-cancer reagents. Previous studies...In order to further evaluate ruthenium (Ru) complexes as potential anti-cancer agents, we synthesized and evaluated ruthenium (Ru) –arene complexes...and metastasis by blocking multiple processes for patients with various forms of cancer. Publication: Inhibition of cancer cell growth by ruthenium

  6. About DCP | Division of Cancer Prevention

    Cancer.gov

    The Division of Cancer Prevention (DCP) is the primary unit of the National Cancer Institute devoted to cancer prevention research. DCP provides funding and administrative support to clinical and laboratory researchers, community and multidisciplinary teams, and collaborative scientific networks. |

  7. Research on key technology of space laser communication network

    NASA Astrophysics Data System (ADS)

    Chang, Chengwu; Huang, Huiming; Liu, Hongyang; Gao, Shenghua; Cheng, Liyu

    2016-10-01

    Since the 21st century, Spatial laser communication has made a breakthrough development. Europe, the United States, Japan and other space powers have carried out the test of spatial laser communication technology on-orbit, and put forward a series of plans. In 2011, China made the first technology demonstration of satellite-ground laser communication carried by HY-2 satellite. Nowadays, in order to improve the transmission rate of spatial network, the topic of spatial laser communication network is becoming a research hotspot at home and abroad. This thesis, from the basic problem of spatial laser communication network to solve, analyzes the main difference between spatial network and ground network, which draws forth the key technology of spatial laser communication backbone network, and systematically introduces our research on aggregation, addressing, architecture of spatial network. From the perspective of technology development status and trends, the thesis proposes the development route of spatial laser communication network in stages. So as to provide reference about the development of spatial laser communication network in China.

  8. Cancer Control Research Training for Native Researchers: A Model for Development of Additional Native Researcher Training Programs

    ERIC Educational Resources Information Center

    Becker, Thomas M.; Dunn, Esther; Tom-Orme, Lillian; Joe, Jennie

    2005-01-01

    Several social and biological scientists who have Native status are engaged in productive research careers, but the encouragement that has been offered to Native students to formulate career goals devoted to cancer etiology or cancer control in Native peoples has had limited success. Hence, the Native Researchers' Cancer Control Training Program…

  9. The potential consequences for cancer care and cancer research of Brexit

    PubMed Central

    Selby, Peter; Lawler, Mark; Baird, Richard; Banks, Ian; Johnston, Patrick; Nurse, Paul

    2017-01-01

    Following the UK “Brexit” vote in June 2016, there are many uncertainties and risks for cancer research and cancer care in the UK. These are summarised and the importance of sustained engagement and influence from the cancer community on UK governments is emphasised. PMID:28275394

  10. The potential consequences for cancer care and cancer research of Brexit.

    PubMed

    Selby, Peter; Lawler, Mark; Baird, Richard; Banks, Ian; Johnston, Patrick; Nurse, Paul

    2017-01-01

    Following the UK "Brexit" vote in June 2016, there are many uncertainties and risks for cancer research and cancer care in the UK. These are summarised and the importance of sustained engagement and influence from the cancer community on UK governments is emphasised.

  11. Bringing global cancer leaders together at the 4th Annual Symposium on Global Cancer Research

    Cancer.gov

    The Annual Symposium on Global Cancer Research held in April 2016 was developed with a special focus on innovative and low-cost technologies in global cancer control, and brought inspiring keynote speakers such as John Seffrin, Former CEO of the American Cancer Society, and Tom Bollyky, Senior Fellow for Global Health at the Council on Foreign Relations.

  12. Cancer complementary and alternative medicine research at the US National Cancer Institute.

    PubMed

    Jia, Libin

    2012-05-01

    The United States National Cancer Institute (NCI) supports complementary and alternative medicine (CAM) research which includes different methods and practices (such as nutrition therapies) and other medical systems (such as Chinese medicine). In recent years, NCI has spent around $120 million each year on various CAM-related research projects on cancer prevention, treatment, symptom/side effect management and epidemiology. The categories of CAM research involved include nutritional therapeutics, pharmacological and biological treatments, mind-body interventions, manipulative and body based methods, alternative medical systems, exercise therapies, spiritual therapies and energy therapies on a range of types of cancer. The NCI Office of Cancer Complementary and Alternative Medicine (OCCAM) supports various intramural and extramural cancer CAM research projects. Examples of these cancer CAM projects are presented and discussed. In addition, OCCAM also supports international research projects.

  13. Direct2Experts: a pilot national network to demonstrate interoperability among research-networking platforms.

    PubMed

    Weber, Griffin M; Barnett, William; Conlon, Mike; Eichmann, David; Kibbe, Warren; Falk-Krzesinski, Holly; Halaas, Michael; Johnson, Layne; Meeks, Eric; Mitchell, Donald; Schleyer, Titus; Stallings, Sarah; Warden, Michael; Kahlon, Maninder

    2011-12-01

    Research-networking tools use data-mining and social networking to enable expertise discovery, matchmaking and collaboration, which are important facets of team science and translational research. Several commercial and academic platforms have been built, and many institutions have deployed these products to help their investigators find local collaborators. Recent studies, though, have shown the growing importance of multiuniversity teams in science. Unfortunately, the lack of a standard data-exchange model and resistance of universities to share information about their faculty have presented barriers to forming an institutionally supported national network. This case report describes an initiative, which, in only 6 months, achieved interoperability among seven major research-networking products at 28 universities by taking an approach that focused on addressing institutional concerns and encouraging their participation. With this necessary groundwork in place, the second phase of this effort can begin, which will expand the network's functionality and focus on the end users.

  14. Direct2Experts: a pilot national network to demonstrate interoperability among research-networking platforms

    PubMed Central

    Barnett, William; Conlon, Mike; Eichmann, David; Kibbe, Warren; Falk-Krzesinski, Holly; Halaas, Michael; Johnson, Layne; Meeks, Eric; Mitchell, Donald; Schleyer, Titus; Stallings, Sarah; Warden, Michael; Kahlon, Maninder

    2011-01-01

    Research-networking tools use data-mining and social networking to enable expertise discovery, matchmaking and collaboration, which are important facets of team science and translational research. Several commercial and academic platforms have been built, and many institutions have deployed these products to help their investigators find local collaborators. Recent studies, though, have shown the growing importance of multiuniversity teams in science. Unfortunately, the lack of a standard data-exchange model and resistance of universities to share information about their faculty have presented barriers to forming an institutionally supported national network. This case report describes an initiative, which, in only 6 months, achieved interoperability among seven major research-networking products at 28 universities by taking an approach that focused on addressing institutional concerns and encouraging their participation. With this necessary groundwork in place, the second phase of this effort can begin, which will expand the network's functionality and focus on the end users. PMID:22037890

  15. Biospecimens, biobanking and global cancer research collaborations

    PubMed Central

    Ragin, Camille; Park, Jong Y

    2014-01-01

    The disparities in prostate cancer incidence and mortality continue to be a global public health problem. Efforts to address the prostate cancer disparity in black men have been met with a number of challenges, specifically in the accessibility to biospecimens in the context of global prostate cancer collaborations. During the International Educational Workshop at the Science of Global Prostate Cancer Disparities conference held 1–4 November 2012 in Nassau, the Bahamas, an overview of biobanking and biospecimen repositories, and materials transfer in global prostate cancer collaborations were discussed. The challenges faced by low-resource countries were identified, and potential solutions were recommended. PMID:25228910

  16. Prostate Cancer Stem Cells: Research Advances

    PubMed Central

    Jaworska, Dagmara; Król, Wojciech; Szliszka, Ewelina

    2015-01-01

    Cancer stem cells have been defined as cells within a tumor that possesses the capacity to self-renew and to cause the heterogeneous lineages of cancer cells that comprise the tumor. Experimental evidence showed that these highly tumorigenic cells might be responsible for initiation and progression of cancer into invasive and metastatic disease. Eradicating prostate cancer stem cells, the root of the problem, has been considered as a promising target in prostate cancer treatment to improve the prognosis for patients with advanced stages of the disease. PMID:26593898

  17. Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature.

    PubMed

    Poornima, Paramasivan; Kumar, Jothi Dinesh; Zhao, Qiaoli; Blunder, Martina; Efferth, Thomas

    2016-09-01

    Despite massive investments in drug research and development, the significant decline in the number of new drugs approved or translated to clinical use raises the question, whether single targeted drug discovery is the right approach. To combat complex systemic diseases that harbour robust biological networks such as cancer, single target intervention is proved to be ineffective. In such cases, network pharmacology approaches are highly useful, because they differ from conventional drug discovery by addressing the ability of drugs to target numerous proteins or networks involved in a disease. Pleiotropic natural products are one of the promising strategies due to their multi-targeting and due to lower side effects. In this review, we discuss the application of network pharmacology for cancer drug discovery. We provide an overview of the current state of knowledge on network pharmacology, focus on different technical approaches and implications for cancer therapy (e.g. polypharmacology and synthetic lethality), and illustrate the therapeutic potential with selected examples green tea polyphenolics, Eleutherococcus senticosus, Rhodiola rosea, and Schisandra chinensis). Finally, we present future perspectives on their plausible applications for diagnosis and therapy of cancer.

  18. The Implementation of Telemedicine within a Community Cancer Network

    PubMed Central

    London, Jack W.; Morton, Daniel E.; Marinucci, Donna; Catalano, Robert; Comis, Robert L.

    1997-01-01

    Telemedicine is being used by physicians at the member hospitals of the Jefferson Cancer Network (JCN) for consultations regarding the diagnosis and management of cancer patients. The technology employed for this telemedicine system was chosen to meet three related specifications: low capital and operating cost, internal maintainability by community hospital data processing staffs, and compatibility with the existing technologic infrastructure. The solution selected is the ubiquitous desktop personal computer and associated software, and Integrated Services Digital Network (ISDN) communications links. The overall performance of this technology has been very satisfactory; ISDN communications has sufficient bandwidth for the transfer of patient data, including text reports, radiographs, and pathology slide images. The presence of the radiologist's interpretation along with the radiographic images allows the presentation of the images on these systems to be acceptable for review purposes. The video frame rates of these systems (12 to 15 frames per second) is adequate, particularly given the “talking heads” nature of the video presentations. Furthermore, the quality of the video image (resolution, size, frame rate) is secondary to the quality of the presentation of the medical information displayed and the capability for mutual annotation of the patient data during the consultation. PMID:8988470

  19. Virtual Network Computing Testbed for Cybersecurity Research

    DTIC Science & Technology

    2015-08-17

    traffic on the network, either by using mathematical formulas or by replaying packet streams. As a result, simulators depend deeply on the assumptions...Summary of the most important results We obtained a powerful machine, which has 768 cores and 1.25 TB memory . RBG has been implemented on the machine...is configured with 1GB memory , 10 GB disk space, and one 100M Ethernet interface. The server nodes include web servers, database servers, email

  20. Prediction of lymph node metastasis in gastric cancer patients with neural networks.

    PubMed

    Droste, K; Bollschweiler, E; Waschulzik, T; Schütz, T; Engelbrecht, R; Maruyama, K; Siewert, J R

    1996-12-03

    Artificial neural networks are a kind of pattern classifiers, with growing acceptance in medical and biological research. We applied a single layer perceptron to data of 4302 patients from National Cancer Centre in Tokyo and compared the results to the Maruyama diagnostic system (MDS) and classic statistical analysis with logistic regression. While logistic regression reached no sensitivity and a specificity of 1.00 in median, MDS had a sensitivity of 0.74 and a specificity of 0.75 an median. The perceptron reached a median sensitivity of 0.81 and a median specificity of 0.71.

  1. Independent Clinical Research May Alleviate Disparities in Cancer Treatment

    PubMed Central

    Zwitter, Matjaz

    2016-01-01

    Disparities in cancer care are a reality of the modern world. Unfortunately, current clinical research is in the hands of for-profit pharmaceutical companies and of researchers from the developed world. Problems specific to cancer care in developing countries and among deprivileged populations are ignored. Independent clinical research can offer new valuable knowledge and identify affordable and cost-effective treatments. As such, research not depending on commercial sponsors should become one of the important avenues to alleviate the problem of cancer disparities. PMID:28083547

  2. [Competence Network Stroke. A successful model for stroke research].

    PubMed

    Lachmann, Ulrike; Villringer, Arno

    2016-04-01

    In 1999 the German Ministry of Education and Research initiated a funding initiative for competence networks in health research in order to improve research and health care for major diseases with high morbidity and relevance to public health. All major players in a given field were invited to cooperate. The aims were to improve horizontal as well as vertical networking in order to improve research quality and the transfer of new results into general clinical practice. Another aim was to establish sustainable structures for lasting cooperation. After a highly competitive application round, the Competence Network Stroke was among the very first to be funded. The incidence of stroke in Germany is about 250,000 new patients per year, it is the leading cause of adult impairment and its societal impact is dramatic.This article describes how the Competence Network Stroke managed to meet the above-mentioned goals and how cooperation among stroke researchers and caregivers in Germany has improved. Furthermore it provides examples of researcher achievements in the network, which have advanced research and benefited patients.

  3. Cancer Research Repository for Individuals With Cancer Diagnosis, High Risk Individuals, and Individuals With No History of Cancer (Control)

    ClinicalTrials.gov

    2016-11-14

    Pancreatic Cancer; Thyroid Cancer; Lung Cancer; Esophageal Cancer; Thymus Cancer; Colon Cancer; Rectal Cancer; GIST; Anal Cancer; Bile Duct Cancer; Duodenal Cancer; Gallbladder Cancer; Gastric Cancer; Liver Cancer; Small Intestine Cancer; Peritoneal Surface Malignancies; Familial Adenomatous Polyposis; Lynch Syndrome; Bladder Cancer; Kidney Cancer; Penile Cancer; Prostate Cancer; Testicular Cancer; Ureter Cancer; Urethral Cancer; Hypopharyngeal Cancer; Laryngeal Cancer; Lip Cancer; Oral Cavity Cancer; Nasopharyngeal Cancer; Oropharyngeal Cancer; Paranasal Sinus Cancer; Nasal Cavity Cancer; Salivary Gland Cancer; Skin Cancer; CNS Tumor; CNS Cancer; Mesothelioma; Breastcancer; Leukemia; Melanoma; Sarcoma; Unknown Primary Tumor; Multiple Myeloma; Ovarian Cancer; Endometrial Cancer; Vaginal Cancer

  4. Contributions to Cancer Research: Finding a Niche in Communication | Office of Cancer Genomics

    Cancer.gov

    This past July, I started a journey into the fields of communications and cancer research when I joined the Office of Cancer Genomics (OCG) as a fellow in the National Cancer Institute (NCI) Health Communications Internship Program (HCIP). Cancer genomics and working in an office were new and uncharted territory for me: before I came to OCG, I was finishing a Ph.D. in cell biology at Vanderbilt University in Dr. Matthew Tyska’s laboratory.

  5. Linking International Cancer Screening Efforts

    Cancer.gov

    Drs. Sudha Sivaram and Steve Taplin speak at the International Cancer Screening Network (ICSN) Meeting, which brings together individuals involved in cancer screening research and cancer screening programs from the ICSN’s member countries.

  6. Differential Network Analysis Applied to Preoperative Breast Cancer Chemotherapy Response

    PubMed Central

    Warsow, Gregor; Struckmann, Stephan; Kerkhoff, Claus; Reimer, Toralf; Engel, Nadja; Fuellen, Georg

    2013-01-01

    In silico approaches are increasingly considered to improve breast cancer treatment. One of these treatments, neoadjuvant TFAC chemotherapy, is used in cases where application of preoperative systemic therapy is indicated. Estimating response to treatment allows or improves clinical decision-making and this, in turn, may be based on a good understanding of the underlying molecular mechanisms. Ever increasing amounts of high throughput data become available for integration into functional networks. In this study, we applied our software tool ExprEssence to identify specific mechanisms relevant for TFAC therapy response, from a gene/protein interaction network. We contrasted the resulting active subnetwork to the subnetworks of two other such methods, OptDis and KeyPathwayMiner. We could show that the ExprEssence subnetwork is more related to the mechanistic functional principles of TFAC therapy than the subnetworks of the other two methods despite the simplicity of ExprEssence. We were able to validate our method by recovering known mechanisms and as an application example of our method, we identified a mechanism that may further explain the synergism between paclitaxel and doxorubicin in TFAC treatment: Paclitaxel may attenuate MELK gene expression, resulting in lower levels of its target MYBL2, already associated with doxorubicin synergism in hepatocellular carcinoma cell lines. We tested our hypothesis in three breast cancer cell lines, confirming it in part. In particular, the predicted effect on MYBL2 could be validated, and a synergistic effect of paclitaxel and doxorubicin could be demonstrated in the breast cancer cell lines SKBR3 and MCF-7. PMID:24349128

  7. A behavioral study of healthy and cancer genes by modeling electrical network.

    PubMed

    Roy, Tanusree; Barman, Soma

    2014-10-15

    In recent years, gene network modeling is gaining popularity in genomics to monitor the activity profile of genes. More specifically, the objective of the network modeling concept is to study the genetic behavior associated with disease. Previous researchers have designed network model at nucleotide level which produces more complexity for designing circuits mostly in case of gene expression studies. Whereas the authors have designed the present network model, based on amino acid level which is simpler as well as more appropriate for prediction of the genetic abnormality. In the present concept, SISO continuous and discrete system models of genes are realized using Foster network. The model is designed based on hydropathy index value of amino acids to study the biological system behavior. The time and phase response in continuous (s) domain and pole-zero distribution in discrete (z) domain are used as measurement metric in the present study. The simulated responses of the system show genetic instability for cancer genes which truly reflects the medical reports. The proposed modeling concept can be used, to accurately identify or separate out the diseased genes from healthy genes.

  8. Generation of a Functional Human Neural Network by NDM29 Overexpression in Neuroblastoma Cancer Cells.

    PubMed

    Alloisio, Susanna; Garbati, Patrizia; Viti, Federica; Dante, Silvia; Barbieri, Raffaella; Arnaldi, Giovanni; Petrelli, Alessia; Gigoni, Arianna; Giannoni, Paolo; Quarto, Rodolfo; Nobile, Mario; Vassalli, Massimo; Pagano, Aldo

    2016-10-03

    Recent advances in life sciences suggest that human and rodent cell responses to stimuli might differ significantly. In this context, the results achieved in neurotoxicology and biomedical research practices using neural networks obtained from mouse or rat primary culture of neurons would benefit of the parallel evaluation of the same parameters using fully differentiated neurons with a human genetic background, thus emphasizing the current need of neuronal cells with human origin. In this work, we developed a human functionally active neural network derived by human neuroblastoma cancer cells genetically engineered to overexpress NDM29, a non-coding RNA whose increased synthesis causes the differentiation toward a neuronal phenotype. These cells are here analyzed accurately showing functional and morphological traits of neurons such as the expression of neuron-specific proteins and the possibility to generate the expected neuronal current traces and action potentials. Their morphometrical analysis is carried out by quantitative phase microscopy showing soma and axon sizes compatible with those of functional neurons. The ability of these cells to connect autonomously forming physical junctions recapitulates that of hippocampal neurons, as resulting by connect-ability test. Lastly, these cells self-organize in neural networks able to produce spontaneous firing, in which spikes can be clustered in bursts. Altogether, these results show that the neural network obtained by NDM29-dependent differentiation of neuroblastoma cells is a suitable tool for biomedical research practices.

  9. Participatory Research. An Introduction. Participatory Research Network Series No. 3.

    ERIC Educational Resources Information Center

    Society for Participatory Research in Asia, New Delhi (India).

    Participatory research is an approach that calls for a democratic interaction between the researcher and those among whom the research is conducted. While this approach has been implemented with both individuals and groups in a wide variety of settings such as geographic communities, workplace situations, adult learning groups, community issue…

  10. Measuring Networking as an Outcome Variable in Undergraduate Research Experiences.

    PubMed

    Hanauer, David I; Hatfull, Graham

    2015-01-01

    The aim of this paper is to propose, present, and validate a simple survey instrument to measure student conversational networking. The tool consists of five items that cover personal and professional social networks, and its basic principle is the self-reporting of degrees of conversation, with a range of specific discussion partners. The networking instrument was validated in three studies. The basic psychometric characteristics of the scales were established by conducting a factor analysis and evaluating internal consistency using Cronbach's alpha. The second study used a known-groups comparison and involved comparing outcomes for networking scales between two different undergraduate laboratory courses (one involving a specific effort to enhance networking). The final study looked at potential relationships between specific networking items and the established psychosocial variable of project ownership through a series of binary logistic regressions. Overall, the data from the three studies indicate that the networking scales have high internal consistency (α = 0.88), consist of a unitary dimension, can significantly differentiate between research experiences with low and high networking designs, and are related to project ownership scales. The ramifications of the networking instrument for student retention, the enhancement of public scientific literacy, and the differentiation of laboratory courses are discussed.

  11. Fred Hutch’s Paulovich Laboratory to Lead Protein Assay Work for National Beau Biden Cancer Moonshot - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) network, which is a partnership among the NCI, DoD, and VA, has tapped the Paulovich Laboratory at Fred Hutchinson Cancer Research Center to create a panel of assays to quantify key proteins that can serve as markers for tumors.

  12. Major clinical research advances in gynecologic cancer in 2015

    PubMed Central

    2016-01-01

    In 2015, fourteen topics were selected as major research advances in gynecologic oncology. For ovarian cancer, high-level evidence for annual screening with multimodal strategy which could reduce ovarian cancer deaths was reported. The best preventive strategies with current status of evidence level were also summarized. Final report of chemotherapy or upfront surgery (CHORUS) trial of neoadjuvant chemotherapy in advanced stage ovarian cancer and individualized therapy based on gene characteristics followed. There was no sign of abating in great interest in immunotherapy as well as targeted therapies in various gynecologic cancers. The fifth Ovarian Cancer Consensus Conference which was held in November 7–9 in Tokyo was briefly introduced. For cervical cancer, update of human papillomavirus vaccines regarding two-dose regimen, 9-valent vaccine, and therapeutic vaccine was reviewed. For corpus cancer, the safety concern of power morcellation in presumed fibroids was explored again with regard to age and prevalence of corpus malignancy. Hormone therapy and endometrial cancer risk, trabectedin as an option for leiomyosarcoma, endometrial cancer and Lynch syndrome, and the radiation therapy guidelines were also discussed. In addition, adjuvant therapy in vulvar cancer and the updated of targeted therapy in gynecologic cancer were addressed. For breast cancer, palbociclib in hormone-receptor-positive advanced disease, oncotype DX Recurrence Score in low-risk patients, regional nodal irradiation to internal mammary, supraclavicular, and axillary lymph nodes, and cavity shave margins were summarized as the last topics covered in this review. PMID:27775259

  13. Major clinical research advances in gynecologic cancer in 2015.

    PubMed

    Suh, Dong Hoon; Kim, Miseon; Kim, Hak Jae; Lee, Kyung Hun; Kim, Jae Weon

    2016-11-01

    In 2015, fourteen topics were selected as major research advances in gynecologic oncology. For ovarian cancer, high-level evidence for annual screening with multimodal strategy which could reduce ovarian cancer deaths was reported. The best preventive strategies with current status of evidence level were also summarized. Final report of chemotherapy or upfront surgery (CHORUS) trial of neoadjuvant chemotherapy in advanced stage ovarian cancer and individualized therapy based on gene characteristics followed. There was no sign of abating in great interest in immunotherapy as well as targeted therapies in various gynecologic cancers. The fifth Ovarian Cancer Consensus Conference which was held in November 7-9 in Tokyo was briefly introduced. For cervical cancer, update of human papillomavirus vaccines regarding two-dose regimen, 9-valent vaccine, and therapeutic vaccine was reviewed. For corpus cancer, the safety concern of power morcellation in presumed fibroids was explored again with regard to age and prevalence of corpus malignancy. Hormone therapy and endometrial cancer risk, trabectedin as an option for leiomyosarcoma, endometrial cancer and Lynch syndrome, and the radiation therapy guidelines were also discussed. In addition, adjuvant therapy in vulvar cancer and the updated of targeted therapy in gynecologic cancer were addressed. For breast cancer, palbociclib in hormone-receptor-positive advanced disease, oncotype DX Recurrence Score in low-risk patients, regional nodal irradiation to internal mammary, supraclavicular, and axillary lymph nodes, and cavity shave margins were summarized as the last topics covered in this review.

  14. Major clinical research advances in gynecologic cancer in 2014.

    PubMed

    Suh, Dong Hoon; Lee, Kyung Hun; Kim, Kidong; Kang, Sokbom; Kim, Jae Weon

    2015-04-01

    In 2014, 9 topics were selected as major advances in clinical research for gynecologic oncology: 2 each in cervical and corpus cancer, 4 in ovarian cancer, and 1 in breast cancer. For cervical cancer, several therapeutic agents showed viable antitumor clinical response in recurrent and metastatic disease: bevacizumab, cediranib, and immunotherapies including human papillomavirus (HPV)-tumor infiltrating lymphocytes and Z-100. The HPV test received FDA approval as the primary screening tool of cervical cancer in women aged 25 and older, based on the results of the ATHENA trial, which suggested that the HPV test was a more sensitive and efficient strategy for cervical cancer screening than methods based solely on cytology. For corpus cancers, results of a phase III Gynecologic Oncology Group (GOG) 249 study of early-stage endometrial cancer with high-intermediate risk factors are followed by the controversial topic of uterine power morcellation in minimally invasive gynecologic surgery. Promising results of phase II studies regarding the effectiveness of olaparib in various ovarian cancer settings are summarized. After a brief review of results from a phase III study on pazopanib maintenance therapy in advanced ovarian cancer, 2 outstanding 2014 ASCO presentations cover the topic of using molecular subtypes in predicting response to bevacizumab. A review of the use of opportunistic bilateral salpingectomy as an ovarian cancer preventive strategy in the general population is presented. Two remarkable studies that discussed the effectiveness of adjuvant ovarian suppression in premenopausal early breast cancer have been selected as the last topics covered in this review.

  15. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    SciTech Connect

    Roberts, J.; Calhoun, V.

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  16. Big data for population-based cancer research: the integrated cancer information and surveillance system.

    PubMed

    Meyer, Anne-Marie; Olshan, Andrew F; Green, Laura; Meyer, Adrian; Wheeler, Stephanie B; Basch, Ethan; Carpenter, William R

    2014-01-01

    The Integrated Cancer Information and Surveillance System (ICISS) facilitates population-based cancer research by developing extensive information technology systems that can link and manage large data sets. Taking an interdisciplinary 'team science' approach, ICISS has developed data, systems, and methods that allow researchers to better leverage the power of big data to improve population health.

  17. Identifying causal networks linking cancer processes and anti-tumor immunity using Bayesian network inference and metagene constructs

    PubMed Central

    Kaiser, Jacob L.; Bland, Cassidy L.; Klinke, David J.

    2017-01-01

    Cancer arises from a deregulation of both intracellular and intercellular networks that maintain system homeostasis. Identifying the architecture of these networks and how they are changed in cancer is a pre-requisite for designing drugs to restore homeostasis. Since intercellular networks only appear in intact systems, it is difficult to identify how these networks become altered in human cancer using many of the common experimental models. To overcome this, we used the diversity in normal and malignant human tissue samples from the Cancer Genome Atlas (TCGA) database of human breast cancer to identify the topology associated with intercellular networks in vivo. To improve the underlying biological signals, we constructed Bayesian networks using metagene constructs, which represented groups of genes that are concomitantly associated with different immune and cancer states. We also used bootstrap resampling to establish the significance associated with the inferred networks. In short, we found opposing relationships between cell proliferation and epithelial-to-mesenchymal transformation (EMT) with regards to macrophage polarization. These results were consistent across multiple carcinomas in that proliferation was associated with a type 1 cell-mediated anti-tumor immune response and EMT was associated with a pro-tumor anti-inflammatory response. To address the identifiability of these networks from other datasets, we could identify the relationship between EMT and macrophage polarization with fewer samples when the Bayesian network was generated from malignant samples alone. However, the relationship between proliferation and macrophage polarization was identified with fewer samples when the samples were taken from a combination of the normal and malignant samples. PMID:26785356

  18. The Changing Landscape of Lung Cancer Research and Treatment

    Cancer.gov

    Along with the Lung Cancer Social Media (#LCSM) community, the National Cancer Institute will be co-hosting a lively and interactive Google Hangout on Air about the changing landscape of lung cancer research and treatment. During the chat, viewers will have the opportunity to pose questions to a panel of lung cancer experts including NCI's Dr. Shakun Malik, the head of thoracic oncology therapeutics, Roy S. Herbst, MD, PhD, Chief of Medical Oncology, Yale Cancer Center and Smilow Cancer Hospital at Yale-New Haven and David Tom Cooke MD FACS, Head, Section of General Thoracic Surgery University of California, Davis. You can also learn more and follow along on the #LCSM Chat page. The chat will be moderated by lung cancer advocate and #LCSM co-founder, Janet Freeman-Daily. To ask questions of our experts, simply use the #LCSM hashtag during the chat.

  19. Biomedical text mining and its applications in cancer research.

    PubMed

    Zhu, Fei; Patumcharoenpol, Preecha; Zhang, Cheng; Yang, Yang; Chan, Jonathan; Meechai, Asawin; Vongsangnak, Wanwipa; Shen, Bairong

    2013-04-01

    Cancer is a malignant disease that has caused millions of human deaths. Its study has a long history of well over 100years. There have been an enormous number of publications on cancer research. This integrated but unstructured biomedical text is of great value for cancer diagnostics, treatment, and prevention. The immense body and rapid growth of biomedical text on cancer has led to the appearance of a large number of text mining techniques aimed at extracting novel knowledge from scientific text. Biomedical text mining on cancer research is computationally automatic and high-throughput in nature. However, it is error-prone due to the complexity of natural language processing. In this review, we introduce the basic concepts underlying text mining and examine some frequently used algorithms, tools, and data sets, as well as assessing how much these algorithms have been utilized. We then discuss the current state-of-the-art text mining applications in cancer research and we also provide some resources for cancer text mining. With the development of systems biology, researchers tend to understand complex biomedical systems from a systems biology viewpoint. Thus, the full utilization of text mining to facilitate cancer systems biology research is fast becoming a major concern. To address this issue, we describe the general workflow of text mining in cancer systems biology and each phase of the workflow. We hope that this review can (i) provide a useful overview of the current work of this field; (ii) help researchers to choose text mining tools and datasets; and (iii) highlight how to apply text mining to assist cancer systems biology research.

  20. Predicting Time-to-Relapse in Breast Cancer Using Neural Networks

    DTIC Science & Technology

    1997-12-01

    AD GRANT NUMBER DÄMD17-94-J-4137 TITLE: Predicting Time-to-Relapse in Breast Cancer Using Neural Networks PRINCIPAL INVESTIGATOR: Jonathan D...Nov 97) 4. TITLE AND SUBTITLE Predicting Time-to-Relapse in Breast Cancer Using Neural Networks 6. AUTHOR(S) Buckley, Jonathan D., Ph.D. 5...Biomedical Laboratories. Date in TABLE OF CONTENTS STANDARD FORM 298 ii FOREWORD iii TABLE OF CONTENTS iv INTRODUCTION 1 Neural networks - a

  1. Predicting Retweeting Behavior on Breast Cancer Social Networks: Network and Content Characteristics.

    PubMed

    Kim, Eunkyung; Hou, Jiran; Han, Jeong Yeob; Himelboim, Itai

    2016-01-01

    This study explored how social media, especially Twitter, serves as a viable place for communicating about cancer. Using a 2-step analytic method that combined social network analysis and computer-aided content analysis, this study investigated (a) how different types of network structures explain retweeting behavior and (b) which types of tweets are retweeted and why some messages generate more interaction among users. The analysis revealed that messages written by users who had a higher number of followers, a higher level of personal influence over the interaction, and closer relationships and similarities with other users were retweeted. In addition, a tweet with a higher level of positive emotion was more likely to be retweeted, whereas a tweet with a higher level of tentative words was less likely to be retweeted. These findings imply that Twitter can be an effective tool for the dissemination of health information. Theoretical and practical implications for psychosocial interventions for people with health concerns are discussed.

  2. Supportive and Palliative Care Research | Division of Cancer Prevention

    Cancer.gov

    Supportive and palliative care research includes studies to prevent or treat the acute and chronic symptoms and morbidities related to cancer and its treatment, and to examine the effects of cancer and its treatment on quality of life and psychosocial issues and treatment strategies at the end of life. Active Projects can range from caregiver issues to geriatrics, physical functioning to cognitive dysfunction. | Examining symptoms and morbidities related to cancer, its treatment, quality of life and end of life.

  3. Switching the poles in sexual and reproductive health research: implementing a research capacity-strengthening network in West and North Africa.

    PubMed

    Dossou, Jean-Paul; Assarag, Bouchra; Delamou, Alexandre; Van der Veken, Karen; Belaid, Loubna; Ouédraogo, Moctar; Khalfallah, Sonia; Aouras, Hayet; Diadhiou, Mohamed; Fassassi, Raïmi; Delvaux, Thérèse

    2016-08-08

    Health research capacities have been improved in Africa but still remain weak as compared to other regions of the World. To strengthen these research capacities, international collaboration and networking for knowledge and capacity transfer are needed. In this commentary, we present the Network for Scientific Support in the field of Sexual and Reproductive Health in West and North Africa, its priority research topics and discuss its implementation process. Established in January 2014, the Network aims at generating human rights and gender-based research fully carried out and driven by South based institutions. It is composed of 12 institutions including the Institute of Tropical Medicine of Antwerp (Belgium) and 11 institutions from eight Francophone West and North African countries. The key areas of interest of this network are health policies analysis and health system research in family planning, HIV prevention among vulnerable groups, quality of care and breast cancers. Since it started, seventeen research proposals based on locally relevant research questions have been developed. Among the seventeen proposals, eleven have been implemented. Several research institutions enhanced linkages with local representations of international partners such as UNFPA. The network is committed to strengthening methodological research capacities and soft skills such as fundraising, advocacy and leadership. Such competencies are strongly needed for developing an effective South-based leadership in Sexual and Reproductive Health research, and for achieving the Sustainable Development Goals.

  4. International Partnerships for Clinical Cancer Research

    Cancer.gov

    CGH co-sponsors the 2015 International Symposium on Cancer Clinical Trials and related meetings held in partnership with the Japanese National Cancer Center (JNCC) and Embassies of France, Korea, United Kingdom (UK), and United States (US) in Tokyo on May 14 - 15, 2015.

  5. feature - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    "Cancer is a disease of the genome," noted Lynda Chin, M.D., professor of dermatology, Harvard Medical School and Dana-Farber Cancer Institute. "And understanding the impact of genomic changes in the proteome is critically important for converting genomic knowledge into something that a clinician can use on their patients."

  6. [Graphic Evolution Witness the Development of Lung Cancer Translational Research].

    PubMed

    Zhang, Chao; Zhong, Wenzhao

    2016-06-20

    Lung cancer treatment has altered from conventional chemotherapy to targeted treatment, which now has been turned to the immunotherapy. Translational research has played an irreplaceable role during this progression which graphic evolution has witnessed. The evolution has gone through forest plot, KM-curve, waterfall plot, spider plot and timeline-area, showing us the refining concept and gradual process of lung cancer treatment undergoing from community towards individual. Even though the latest immunotherapy is getting increasingly hot, the result isn't quite expected. Meanwhile, the limitations of conventional treatment still exist which require further research. This article will primarily illustrate the development of translational research of lung cancer via the aspect of curve evolution and analysis some abortive clinical trials in lung cancer surgery for inspiring the next graphic style and lung cancer treatment.

  7. Regulatory network of microRNAs and genes in testicular cancer

    PubMed Central

    Zhao, Yansong; Xu, Zhiwen; Wang, Ning; Wang, Shang

    2016-01-01

    Testicular cancer (TC) is the most common cancer in men between 20–40 years of age. A large number of studies have focused on identifying the cause of this disease; however, the underlying regulatory mechanisms have not been thoroughly investigated and the specific cause remains unclear. The present study systematically analyzed the regulatory associations between genes, transcription factors (TFs) and microRNAs (miRNAs), aiming to obtain key information regarding the regulatory processes of TC. Three different networks were derived from the analysis: Global, related and differentially-expressed. These networks may be able to identify the primary causes of TC through gene analysis, which determines underlying regulatory pathways and subsequently discloses information regarding TC pathology. The differentially-expressed network is considered to be the most important. If the differentially-expressed elements in this network were to be manipulated back to normal levels via human intervention, this may prevent the onset of TC. This may be described as suppressing TC at the genetic level. If the abnormal expression of these elements was to be corrected, then preventing TC at the source may be a feasible option. Thus, the present study compared and analyzed the global, related and differentially-expressed networks, from which important genetic pathways in TC were highlighted. In addition, self-adaptation associations, host genes and target genes were analyzed. The upstream and downstream elements were identified, and TFs were predicted using the P-match method. When combined, the results of the current study provide the basic materials for further research on important genes in TC, and provide guidance on the pathological curative method. PMID:27900048

  8. The Integrated Distributed Virtual Research Network: An Introduction

    DTIC Science & Technology

    2014-06-01

    Tom Kile , Theron Trout, and Gary Cohn for their extensive contribution to this document to include reviews, comments, and edits, which contributed...to the quality of the document. The ARL Integrated Distributed Virtual Research Testbed (IDVRT) team, consisting of Alex Tarantin, Khoa Bui, Tom Kile ...n. Network Engineer (non-voting member) Tom Kile o. Network Engineer (non-voting member) Theron Trout p. Non-voting members (serving at the

  9. Social networks and physical activity behaviors among cancer survivors: data from the 2005 Health Information National Trends Survey.

    PubMed

    Kim, Bang Hyun; Wallington, Sherrie F; Makambi, Kepher H; Adams-Campbell, Lucile L

    2015-01-01

    The study examined the relation between social networks and physical activity behaviors among cancer survivors. The authors examined 873 cancer survivors (596 women, 277 men) 50 years of age or older who participated in the 2005 Health Information National Trends Survey. Multivariate logistic regression analysis showed that survivors who talked about health with friends/family were more likely to pay attention to new physical activity recommendations (OR = 2.89, CI [1.01, 8.33]). Female survivors were more likely to pay attention to new physical activity recommendations (OR = 2.65, CI [1.55, 4.53]) and more likely to have seen, heard, or read physical activity/exercise and cancer information within the past 12 months (OR = 2.09, CI [1.13, 3.85]) compared with their male counterparts. For male survivors, those who were a member of at least one community organization were more likely to pay attention to new physical activity/exercise recommendations (OR = 5.31, CI [1.32, 21.22]) than the men who were not members. Overall, cancer survivors with a social network (i.e., talking to family/friends about health) were more likely to pay attention to new exercise recommendations compared with those who did not have a social network. Significant differences were also observed by gender with physical activity levels, knowledge, and attitudes. Social networking is an important component in cancer survivorship and further research is needed to encourage social networking strategies that might facilitate in increasing physical activity behaviors among cancer survivors.

  10. EEG-based research on brain functional networks in cognition.

    PubMed

    Wang, Niannian; Zhang, Li; Liu, Guozhong

    2015-01-01

    Recently, exploring the cognitive functions of the brain by establishing a network model to understand the working mechanism of the brain has become a popular research topic in the field of neuroscience. In this study, electroencephalography (EEG) was used to collect data from subjects given four different mathematical cognitive tasks: recite numbers clockwise and counter-clockwise, and letters clockwise and counter-clockwise to build a complex brain function network (BFN). By studying the connectivity features and parameters of those brain functional networks, it was found that the average clustering coefficient is much larger than its corresponding random network and the average shortest path length is similar to the corresponding random networks, which clearly shows the characteristics of the small-world network. The brain regions stimulated during the experiment are consistent with traditional cognitive science regarding learning, memory, comprehension, and other rational judgment results. The new method of complex networking involves studying the mathematical cognitive process of reciting, providing an effective research foundation for exploring the relationship between brain cognition and human learning skills and memory. This could help detect memory deficits early in young and mentally handicapped children, and help scientists understand the causes of cognitive brain disorders.

  11. Psychological Issues in Cancer Genetics: Current Research and Future Priorities.

    ERIC Educational Resources Information Center

    Hopwood, Penelope

    1997-01-01

    Data concerning the psychological impact of high risk of cancer are reviewed, including implications of genetic testing, breast screening,and accuracy of women's risk estimates. Work in progress on prophylactic mastectomy and chemoprevention is reviewed. Research on cancer families, and interventions and prevention strategies for high-risk…

  12. Perspective: Flicking with flow: Can microfluidics revolutionize the cancer research?

    PubMed Central

    Das, Tamal; Chakraborty, Suman

    2013-01-01

    According to the World Health Organization, cancer is one of the leading causes of death worldwide. Cancer research, in its all facets, is truly interdisciplinary in nature, cutting across the fields of fundamental and applied sciences, as well as biomedical engineering. In recent years, microfluidics has been applied successfully in cancer research. There remain, however, many elusive features of this disease, where microfluidic systems could throw new lights. In addition, some inherent features of microfluidic systems remain unexploited in cancer research. In this article, we first briefly review the advancement of microfluidics in cancer biology. We then describe the biophysical aspects of cancer and outline how microfluidic system could be useful in developing a deeper understanding on the underlying mechanisms. We next illustrate the effects of the confined environment of microchannel on cellular dynamics and argue that the tissue microconfinement could be a crucial facet in tumor development. Lastly, we attempt to highlight some of the most important problems in cancer biology, to inspire next level of microfluidic applications in cancer research. PMID:24403993

  13. Biospecimen Core Resource - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The purpose of this notice is to notify the community that the National Cancer Institute's (NCI’s) Office of Cancer Clinical Proteomics Research (OCCPR) is seeking sources to establish a Biospecimen Core Resource (BCR), capable of receiving, qualifying, processing, and distributing annotated biospecimens.

  14. Biospecimen Solicitation - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    A new funding opportunity in support of the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) seeks to prospectively procure tumor samples, collected for proteomics investigation. This procurement is being solicited for award by SAIC-F under its contract #HHSN261200800001E for Operations and Technical support at the Frederick National Laboratory for Cancer Research.

  15. Training Program in the Molecular Basis of Breast Cancer Research

    DTIC Science & Technology

    1996-10-01

    growth, differentiation and molecular genetics. During the reporting period, research by the six students supported by the Iraining program resulted...physicians studying different aspects of breast cancer and cancer therapy, as well as fundamental mechanisms of cell growth, differentiation and molecular...an in vitro culture system preadipocyte cells will differentiate into adipocytes in response to a specific hormonal stimuli. This terminal

  16. Global Network of Autonomous Observatories Dedicated to Student Research

    NASA Astrophysics Data System (ADS)

    Gelderman, R.

    2006-08-01

    We will demonstrate operation of one or more meter-class telescopes devoted to student initiated astronomical research projects. For multiple decades astronomers have promised each other the development of global networks of telescopes. For the last decade, without ever fulfilling the initial promise, we have upped the ante and promised global networks of robotic telescopes. Sometimes the network is to be composed of 20- to 40-cm aperture telescopes; other times the network will include meter-class telescopes. Sometimes the network is exclusive to a select, small group of users; other times the dream is open to any interested parties. Western Kentucky University, the Hands-On Universe project, and NASA's Kepler mission have achieved the first components of a network of telescopes established for educational programs. We will discuss the process used by teachers and students to make use of a substantial fraction of the network's observing time, and to access most of the archived data. Examples of student projects will be shared, along with immediate plans for expanding the network.

  17. A national wind erosion research network

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Public concern about wind erosion in the United States is high. This concern has arisen as a consequence of changing and intensifying land use pressures which can lead to increased soil loss and dust emission. However, there is relatively little research to support improved management. While much at...

  18. Research, Supervision, and the Network Society

    ERIC Educational Resources Information Center

    Dennison, Carmel

    2009-01-01

    Much has been written about the use of information and communication technology (ICT) in distance learning environments. A quick Google search turns up as many as 178,000 links to the term. ICT has been less used and discussed as a means of communication between research student and supervisor--particularly where this is the major means of student…

  19. Use and Taxonomy of Social Media in Cancer-Related Research: A Systematic Review

    PubMed Central

    Klasko, Lynne; Davis, Stacy N.; Gwede, Clement K.; Wells, Kristen J.; Kumar, Ambuj; Lopez, Natalia; Meade, Cathy D.

    2014-01-01

    Little is known about how social media are used in cancer care. We conducted a systematic review of the use and taxonomy of social media in cancer-related studies, in PubMed, Web of Knowledge, CINAHL, and Google Scholar. We located 1350 articles published through October 2013; 69 met study inclusion criteria. Early research (1996–2007) was predominantly descriptive studies of online forums. Later, researchers began analyzing blogs, videos shared on YouTube, and social networking sites. Most studies (n = 62) were descriptive, and only 7 reported intervention studies published since 2010. Future research should include more intervention studies to determine how social media can influence behavior, and more empirical research is needed on how social media may be used to reduce health disparities. PMID:24832403

  20. Use and taxonomy of social media in cancer-related research: a systematic review.

    PubMed

    Koskan, Alexis; Klasko, Lynne; Davis, Stacy N; Gwede, Clement K; Wells, Kristen J; Kumar, Ambuj; Lopez, Natalia; Meade, Cathy D

    2014-07-01

    Little is known about how social media are used in cancer care. We conducted a systematic review of the use and taxonomy of social media in cancer-related studies, in PubMed, Web of Knowledge, CINAHL, and Google Scholar. We located 1350 articles published through October 2013; 69 met study inclusion criteria. Early research (1996-2007) was predominantly descriptive studies of online forums. Later, researchers began analyzing blogs, videos shared on YouTube, and social networking sites. Most studies (n = 62) were descriptive, and only 7 reported intervention studies published since 2010. Future research should include more intervention studies to determine how social media can influence behavior, and more empirical research is needed on how social media may be used to reduce health disparities.

  1. Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors.

    PubMed

    Sasaki, Masao S; Tachibana, Akira; Takeda, Shunichi

    2014-05-01

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the 'integrate-and-fire' algorithm of artificial neural networks was developed and tested in cancer databases established by the Radiation Effects Research Foundation. The analysis revealed unique features at low doses that could not be accounted for by nominal exposure dose, including (i) the presence of a threshold that varied with organ, gender and age at exposure, and (ii) a small but significant bumping increase in cancer risk at low doses in Nagasaki that probably reflects internal exposure to (239)Pu. The threshold was distinct from the canonical definition of zero effect in that it was manifested as negative excess relative risk, or suppression of background cancer rates. Such a unique tissue response at low doses of radiation exposure has been implicated in the context of the molecular basis of radiation-environment interplay in favor of recently emerging experimental evidence on DNA double-strand break repair pathway choice and its epigenetic memory by histone marking.

  2. Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors

    PubMed Central

    Sasaki, Masao S.; Tachibana, Akira; Takeda, Shunichi

    2014-01-01

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the ‘integrate-and-fire’ algorithm of artificial neural networks was developed and tested in cancer databases established by the Radiation Effects Research Foundation. The analysis revealed unique features at low doses that could not be accounted for by nominal exposure dose, including (i) the presence of a threshold that varied with organ, gender and age at exposure, and (ii) a small but significant bumping increase in cancer risk at low doses in Nagasaki that probably reflects internal exposure to 239Pu. The threshold was distinct from the canonical definition of zero effect in that it was manifested as negative excess relative risk, or suppression of background cancer rates. Such a unique tissue response at low doses of radiation exposure has been implicated in the context of the molecular basis of radiation–environment interplay in favor of recently emerging experimental evidence on DNA double-strand break repair pathway choice and its epigenetic memory by histone marking. PMID:24366315

  3. The role of cancer research in noncommunicable disease control.

    PubMed

    Wild, Christopher Paul

    2012-07-18

    Noncommunicable diseases were estimated to claim more than 36 million lives worldwide in 2008. Major contributors to this burden were cardiovascular disease, cancer, chronic respiratory diseases, and diabetes. The United Nations General Assembly held a high-level meeting on noncommunicable diseases in September 2011 for heads of states and governments, conscious of the projected increases in disease incidence, particularly in low- and middle-income countries. This meeting followed the Special Session on HIV/AIDS in 2001, the only other high-level meeting to discuss a health topic and orient the global political agenda toward a growing threat to human development. Proposed strategies for control of noncommunicable diseases focused mainly on the shared risk factors of tobacco, harmful use of alcohol, physical inactivity, and unhealthy diet. However, for cancer, a broader response is required. Notably, the heterogeneity of cancer with respect to its geographical distribution, etiology, and pathology all demand a more nuanced, regional, or even local approach. Preparations for the meeting elicited enormous attention from governments and nongovernmental organizations, but the engagement of the research community was less evident. This commentary calls for the involvement of the cancer research community in response to the further action detailed in the United Nations Political Declaration emanating from the meeting, identifies a number of cancer-specific priorities, including vaccination against hepatitis B virus and human papillomavirus, cervical cancer screening, and early detection of breast cancer, and suggests areas where cancer research can provide the evidence base for cancer control, notably in improving the quality and coverage of cancer registration, elucidating cancer etiology, and evaluating interventions, including their implementation in low-resource health-care settings. Finally, the need for global cooperation in developing a research agenda for low- and

  4. Building capacity for sustainable research programmes for cancer in Africa.

    PubMed

    Adewole, Isaac; Martin, Damali N; Williams, Makeda J; Adebamowo, Clement; Bhatia, Kishor; Berling, Christine; Casper, Corey; Elshamy, Karima; Elzawawy, Ahmed; Lawlor, Rita T; Legood, Rosa; Mbulaiteye, Sam M; Odedina, Folakemi T; Olopade, Olufunmilayo I; Olopade, Christopher O; Parkin, Donald M; Rebbeck, Timothy R; Ross, Hana; Santini, Luiz A; Torode, Julie; Trimble, Edward L; Wild, Christopher P; Young, Annie M; Kerr, David J

    2014-05-01

    Cancer research in Africa will have a pivotal role in cancer control planning in this continent. However, environments (such as those in academic or clinical settings) with limited research infrastructure (laboratories, biorespositories, databases) coupled with inadequate funding and other resources have hampered African scientists from carrying out rigorous research. In September 2012, over 100 scientists with expertise in cancer research in Africa met in London to discuss the challenges in performing high-quality research, and to formulate the next steps for building sustainable, comprehensive and multi-disciplinary programmes relevant to Africa. This was the first meeting among five major organizations: the African Organisation for Research and Training in Africa (AORTIC), the Africa Oxford Cancer Foundation (AfrOx), and the National Cancer Institutes (NCI) of Brazil, France and the USA. This article summarizes the discussions and recommendations of this meeting, including the next steps required to create sustainable and impactful research programmes that will enable evidenced-based cancer control approaches and planning at the local, regional and national levels.

  5. Cancer prevention research - then and now.

    PubMed

    Bode, Ann M; Dong, Zigang

    2009-07-01

    Throughout history, humankind has won the battle against deadly diseases, including small pox and polio, by defeating them through prevention. Cancer prevention is a global priority, but studying history suggests that the journey towards achieving this goal is difficult and full of detours and roadblocks. Epidemiology and clinical evidence clearly indicate that specific genetic, environmental and behavioural factors are associated with an increased risk for cancer development. What can we learn from the past that is applicable to the reality of successful cancer prevention?

  6. Stories in Networks and Networks in Stories: A Tri-Modal Model for Mixed-Methods Social Network Research on Teachers

    ERIC Educational Resources Information Center

    Baker-Doyle, Kira J.

    2015-01-01

    Social network research on teachers and schools has risen exponentially in recent years as an innovative method to reveal the role of social networks in education. However, scholars are still exploring ways to incorporate traditional quantitative methods of Social Network Analysis (SNA) with qualitative approaches to social network research. This…

  7. US computer research networks: Current and future

    NASA Technical Reports Server (NTRS)

    Kratochvil, D.; Sood, D.; Verostko, A.

    1989-01-01

    During the last decade, NASA LeRC's Communication Program has conducted a series of telecommunications forecasting studies to project trends and requirements and to identify critical telecommunications technologies that must be developed to meet future requirements. The Government Networks Division of Contel Federal Systems has assisted NASA in these studies, and the current study builds upon these earlier efforts. The current major thrust of the NASA Communications Program is aimed at developing the high risk, advanced, communications satellite and terminal technologies required to significantly increase the capacity of future communications systems. Also, major new technological, economic, and social-political events and trends are now shaping the communications industry of the future. Therefore, a re-examination of future telecommunications needs and requirements is necessary to enable NASA to make management decisions in its Communications Program and to ensure the proper technologies and systems are addressed. This study, through a series of Task Orders, is helping NASA define the likely communication service needs and requirements of the future and thereby ensuring that the most appropriate technology developments are pursued.

  8. Letter from the Director - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The NCI's Clinical Proteomic Technologies for Cancer (CPTC) initiative has made tremendous progress knocking down barriers to the field which is indicative of both the dedication to the highest quality of research by its investigators and commitment to open standards.

  9. Philanthropic partnerships and the future of cancer research.

    PubMed

    Murciano-Goroff, Yonina R

    2015-02-01

    Complementing government and industry funding, philanthropies have made distinct contributions to altering the trajectory of cancer research, often in ways that reflect both the business training of their donors and their close ties to the lay public.

  10. About the Early Detection Research Group | Division of Cancer Prevention

    Cancer.gov

    The Early Detection Research Group supports research that seeks to determine the effectiveness, operating characteristics and clinical impact (harms as well as benefits) of cancer early detection technologies and practices, such as imaging and molecular biomarker approaches.   The group ran two large-scale early detection trials for which data and biospecimens are available for additional research: |

  11. Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network

    PubMed Central

    Haj-Hassan, Hawraa; Chaddad, Ahmad; Harkouss, Youssef; Desrosiers, Christian; Toews, Matthew; Tanougast, Camel

    2017-01-01

    Background: Colorectal cancer (CRC) is the third most common cancer among men and women. Its diagnosis in early stages, typically done through the analysis of colon biopsy images, can greatly improve the chances of a successful treatment. This paper proposes to use convolution neural networks (CNNs) to predict three tissue types related to the progression of CRC: benign hyperplasia (BH), intraepithelial neoplasia (IN), and carcinoma (Ca). Methods: Multispectral biopsy images of thirty CRC patients were retrospectively analyzed. Images of tissue samples were divided into three groups, based on their type (10 BH, 10 IN, and 10 Ca). An active contour model was used to segment image regions containing pathological tissues. Tissue samples were classified using a CNN containing convolution, max-pooling, and fully-connected layers. Available tissue samples were split into a training set, for learning the CNN parameters, and test set, for evaluating its performance. Results: An accuracy of 99.17% was obtained from segmented image regions, outperforming existing approaches based on traditional feature extraction, and classification techniques. Conclusions: Experimental results demonstrate the effectiveness of CNN for the classification of CRC tissue types, in particular when using presegmented regions of interest.

  12. The structural network of inflammation and cancer: merits and challenges.

    PubMed

    Guven Maiorov, Emine; Keskin, Ozlem; Gursoy, Attila; Nussinov, Ruth

    2013-08-01

    Inflammation, the first line of defense against pathogens can contribute to all phases of tumorigenesis, including tumor initiation, promotion and metastasis. Within this framework, the Toll-like receptor (TLR) pathway plays a central role in inflammation and cancer. Although extremely useful, the classical representation of this, and other pathways in the cellular network in terms of nodes (proteins) and edges (interactions) is incomplete. Structural pathways can help complete missing parts of such diagrams: they demonstrate in detail how signals coming from different upstream pathways merge and propagate downstream, how parallel pathways compensate each other in drug resistant mutants, how multi-subunit signaling complexes form and in particular why they are needed and how they work, how allosteric events can control these proteins and their pathways, and intricate details of feedback loops and how kick in. They can also explain the mechanisms of some oncogenic SNP mutations. Constructing structural pathways is a challenging task. Here, our goal is to provide an overview of inflammation and cancer from the structural standpoint, focusing on the TLR pathway. We use the powerful PRISM (PRotein Interactions by Structural Matching) tool to reveal important structural information of interactions in and within key orchestrators of the TLR pathway, such as MyD88.

  13. The Continuing Umbrella of Research Experiences (CURE): a model for training underserved scientists in cancer research.

    PubMed

    Franco, Idalid; Bailey, LeeAnn O; Bakos, Alexis D; Springfield, Sanya A

    2011-03-01

    Mentoring is a critical aspect of research and training; and the adoption of a successful mentoring model for guiding researchers through the educational pipeline is lacking. The Continuing Umbrella of Research Experiences (CURE) program was established in the Comprehensive Minority Biomedical Branch; which is part of the National Cancer Institute. This program offers unique training and career development opportunities to enhance diversity in cancer research. The CURE initiative focuses on broadening the cadre of underserved investigators engaging in cancer research. CURE begins with high school students and fosters scientific, academic and research excellence throughout the trainee's educational progression. The program supports students throughout the entirety of their training career. During this period, the trainee matures into a competitive early stage investigator; capable of securing advanced research project funding in academic and industry workforces. Thus, the CURE program provides a comprehensive vehicle for training and reinforces the critical mass of underserved investigators conducting cancer research.

  14. A European perspective--the European clinical research infrastructures network.

    PubMed

    Demotes-Mainard, J; Kubiak, C

    2011-11-01

    Evaluating research outcomes requires multinational cooperation in clinical research for optimization of treatment strategies and comparative effectiveness research, leading to evidence-based practice and healthcare cost containment. The European Clinical Research Infrastructures Network (ECRIN) is a distributed ESFRI (European Strategy Forum on Research Infrastructures) roadmap pan-European infrastructure designed to support multinational clinical research, making Europe a single area for clinical studies, taking advantage of its population size to access patients, and unlocking latent scientific potential. Servicing multinational trials started during its preparatory phase, and ECRIN will now apply for an ERIC (European Research Infrastructures Consortium) status by 2011. By creating a single area for clinical research in Europe, this achievement will contribute to the implementation of the Europe flagship initiative 2020 'Innovation Union', whose objectives include defragmentation of the research and education capacity, tackling the major societal challenges starting with the area of healthy ageing, and removing barriers to bring ideas to the market.

  15. The Long Term Agroecosystem Research Network - Shared research strategy

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Agriculture faces tremendous challenges in meeting multiple societal goals, including a safe and plentiful food supply; climate change adaptation and mitigation; supplying sources of bioenergy; improving water, air, and soil quality; and maintaining biodiversity. The Long Term Agroecosystem Research...

  16. Researchers Identify Early Sign of Pancreatic Cancer

    MedlinePlus

    ... development of pancreatic cancer – an upsurge in certain amino acids that occurs before the disease is diagnosed and ... We found that higher levels of branched chain amino acids were present in people who went on to ...

  17. Using Organizational Network Analysis to Plan Cancer Screening Programs for Vulnerable Populations

    PubMed Central

    Carothers, Bobbi J.; Lofters, Aisha K.

    2014-01-01

    Objectives. We examined relationships among organizations in a cancer screening network to inform the development of interventions to improve cancer screening for South Asians living in the Peel region of Ontario. Methods. From April to July 2012, we surveyed decision-makers, program managers, and program staff in 22 organizations in the South Asian cancer screening network in the Peel region. We used a network analytic approach to evaluate density (range = 0%–100%, number of ties among organizations in the network expressed as a percentage of all possible ties), centralization (range = 0–1, the extent of variability in centrality), and node characteristics for the communication, collaboration, and referral networks. Results. Density was similar across communication (15%), collaboration (17%), and referral (19%) networks. Centralization was greater in the collaboration network (0.30) than the communication network (0.24), and degree centralization was greater in the inbound (0.42) than the outbound (0.37) referral network. Diverse organizations were central to the networks. Conclusions. Certain organizations were unexpectedly important to the South Asian cancer screening network. Program planning was informed by identifying opportunities to strengthen linkages between key organizations and to leverage existing ties. PMID:24328613

  18. 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

  19. Advanced Scientific Computing Research Network Requirements: ASCR Network Requirements Review Final Report

    SciTech Connect

    Bacon, Charles; Bell, Greg; Canon, Shane; Dart, Eli; Dattoria, Vince; Goodwin, Dave; Lee, Jason; Hicks, Susan; Holohan, Ed; Klasky, Scott; Lauzon, Carolyn; Rogers, Jim; Shipman, Galen; Skinner, David; Tierney, Brian

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  20. Research gaps in pancreatic cancer research and comparative effectiveness research methodologies.

    PubMed

    In, Haejin; Posner, Mitchell C

    2015-01-01

    Despite advances in cancer care, pancreatic adenocarcinoma remains one of the most lethal tumors. Most patients with pancreatic cancer are diagnosed with late stage disease, and approximately 6 % of patients are alive 5 years after diagnosis. Of the 10-20 % of patients who are candidates for resection and multi-modality therapy, most will succumb to the disease with 5-year survival rates only reaching approximately 25 % (Lim et al. in Annals of surgery 237(1):74-85, 2003 [1]; Trede et al. in Annals of surgery 211(4):447-458, 1990 [2]; Crist et al. in Annals of surgery 206(3):358-365, 1987 [3]). Clearly, there is a need to improve the management of this disease. To identify gaps in research and formulate strategies to address these issues, we designed a framework to encompass the scope of research for pancreatic cancer. In this chapter, we will examine each topic heading within this framework for gaps in knowledge and present research strategies focusing on diverse comparative effectiveness research (CER) methodologies to address the identified gaps.

  1. AmeriFlux Measurement Network: Science Team Research

    SciTech Connect

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  2. A feminist critique of research on cancer pain.

    PubMed

    Im, E O; Chee, W

    2001-11-01

    A number of studies on cancer pain have been conducted but the researchers rarely considered gender and ethnic differences in cancer pain. In this article, nursing research on cancer pain is critiqued from a feminist perspective, and directions for future nursing research are proposed. A total of 82 nursing articles published in the United States were retrieved through MEDLINE and MELVYL data retrieval systems, and analyzed and critiqued in terms of four basic elements of research from a feminist perspective (bias as resources, dependability, credibility and adequacy, and intersubjectivity). In this article, the critique is presented with four themes that may provide reasons why nursing research on cancer pain rarely incorporated gender and ethnic differences: absence of participants' own views and experiences, androcentrism and ethnocentrism, lack of consideration on contextual factors, and distant relationships between researchers and research participants. To overcome the limitations, six critical elements including gender and ethnic sensitivity, avoidance of distorted views, respectfor participants' own views and interests, trust and openness, empowerment, and multiple methods are suggested to be incorporated in future nursing research on cancer pain.

  3. Gastric cancer research in Mexico: A public health priority

    PubMed Central

    Sampieri, Clara Luz; Mora, Mauricio

    2014-01-01

    This study aimed review studies conducted on Mexican patients diagnosed with gastric cancer and/or diseases associated with its development, in which at least one Mexican institute has participated, and to assess their contributions to the primary and secondary prevention of this disease. A search of the Medline database was conducted using the following keywords: gastric/stomach cancer, Mexico. Studies of the Mexican population were selected in which at least one Mexican Institute had participated and where the findings could support public policy proposals directed towards the primary or secondary prevention of gastric cancer. Of the 148 studies found in the Medline database, 100 were discarded and 48 were reviewed. According to the analysis presented, these studies were classified as: epidemiology of gastric cancer (5/48); risk factors and protectors relating to gastric cancer (9/48); relationship between Helicobacter pylori and pathologies associated with gastric cancer and the development of the disease (16/48); relationship between the Epstein-Barr virus and pathologies associated with gastric cancer and the development of the disease (3/48); molecular markers for the development of diseases associated with gastric cancer and gastric cancer (15/48). Mexico requires a program for the prevention and control of gastric cancer based on national health indicators. This should be produced by a multidisciplinary committee of experts who can propose actions that are relevant in the current national context. The few studies of gastric cancer conducted on the Mexican population in national institutes highlight the poor connection that currently exists between the scientific community and the health sector in terms of resolving this health issue. Public policies for health research should support projects with findings that can be translated into benefits for the population. This review serves to identify national research groups studying gastric cancer in the Mexican

  4. Gastric cancer research in Mexico: a public health priority.

    PubMed

    Sampieri, Clara Luz; Mora, Mauricio

    2014-04-28

    This study aimed review studies conducted on Mexican patients diagnosed with gastric cancer and/or diseases associated with its development, in which at least one Mexican institute has participated, and to assess their contributions to the primary and secondary prevention of this disease. A search of the Medline database was conducted using the following keywords: gastric/stomach cancer, Mexico. Studies of the Mexican population were selected in which at least one Mexican Institute had participated and where the findings could support public policy proposals directed towards the primary or secondary prevention of gastric cancer. Of the 148 studies found in the Medline database, 100 were discarded and 48 were reviewed. According to the analysis presented, these studies were classified as: epidemiology of gastric cancer (5/48); risk factors and protectors relating to gastric cancer (9/48); relationship between Helicobacter pylori and pathologies associated with gastric cancer and the development of the disease (16/48); relationship between the Epstein-Barr virus and pathologies associated with gastric cancer and the development of the disease (3/48); molecular markers for the development of diseases associated with gastric cancer and gastric cancer (15/48). Mexico requires a program for the prevention and control of gastric cancer based on national health indicators. This should be produced by a multidisciplinary committee of experts who can propose actions that are relevant in the current national context. The few studies of gastric cancer conducted on the Mexican population in national institutes highlight the poor connection that currently exists between the scientific community and the health sector in terms of resolving this health issue. Public policies for health research should support projects with findings that can be translated into benefits for the population. This review serves to identify national research groups studying gastric cancer in the Mexican

  5. Research on the complex network of the UNSPSC ontology

    NASA Astrophysics Data System (ADS)

    Xu, Yingying; Zou, Shengrong; Gu, Aihua; Wei, Li; Zhou, Ta

    The UNSPSC ontology mainly applies to the classification system of the e-business and governments buying the worldwide products and services, and supports the logic structure of classification of the products and services. In this paper, the related technologies of the complex network were applied to analyzing the structure of the ontology. The concept of the ontology was corresponding to the node of the complex network, and the relationship of the ontology concept was corresponding to the edge of the complex network. With existing methods of analysis and performance indicators in the complex network, analyzing the degree distribution and community of the ontology, and the research will help evaluate the concept of the ontology, classify the concept of the ontology and improve the efficiency of semantic matching.

  6. What's New in Research and Treatment of Basal and Squamous Cell Skin Cancers?

    MedlinePlus

    ... About Basal and Squamous Cell Skin Cancer What’s New in Basal and Squamous Cell Skin Cancer Research? ... cancer cells. Researchers are working to apply this new information to strategies for preventing and treating skin ...

  7. Empowering Promotores de Salud as Partners in Cancer Education and Research in Rural Southwest Kansas

    PubMed Central

    Cupertino, Ana Paula; Saint-Elin, Mercedes; de los Rios, Johana Bravo; Engelman, Kimberly K.; Greiner, K. Allen; Ellerbeck, Edward F.; Nápoles, Anna M.

    2015-01-01

    Purpose/Objectives To describe community-based participatory processes used to develop promotore training on cancer research, and to assess the feasibility of training promotores from rural communities to disseminate cancer research information. Design Prospective, cohort design. Setting Rural communities in the state of Kansas. Sample 34 Spanish-speaking promotores attended an information session; 27 enrolled and 22 completed training. Methods With input from a community advisory board, the authors developed a leadership and cancer curriculum and trained Spanish-speaking promotores to disseminate information on cancer research. Promotores completed pretraining and post-training surveys in Spanish to assess demographic characteristics and changes in knowledge of cancer, cancer treatment and cancer research studies, and intent to participate in cancer research. Main Research Variables Cancer knowledge, awareness of cancer clinical trials, interest in participating in cancer clinical research studies. Findings Compared to pretraining, after training, promotores were more likely to correctly define cancer, identify biopsies, describe cancer stages, and report ever having heard of cancer research studies. Conclusions Completion rates of the training and willingness to participate in cancer research were high, supporting the feasibility of training promotores to deliver community-based education to promote cancer research participation. Implications for Nursing Nursing professionals and researchers can collaborate with promotores to disseminate cancer education and research among underserved rural Latino communities in Kansas and elsewhere. Members of these communities appear willing and interested in improving their knowledge of cancer and cancer clinical trials. PMID:25542317

  8. The human face of biobank networks for translational research.

    PubMed

    Meir, Karen; Gaffney, Eoin F; Simeon-Dubach, Daniel; Ravid, Rivka; Watson, Peter H; Schacter, Brent; Morente And The Marble Arch International Working Group On Biobanking, Manuel M

    2011-09-01

    The biobanking literature frequently addresses donor and societal issues surrounding biobanking, but the biobanker's perspective is rarely highlighted. While not comprehensive, this article offers an overview of the human aspects of biobanking from the viewpoint of biobank personnel-from biobank formation, through the process, and in addressing post-biobanking issues. As every biobank and biobank network may differ, such factors may vary. Before biobanking can commence, the purpose of the biobank network must be defined, and buy-in achieved from many stakeholders. An attitude of trust and sharing is essential, as is good communication. Developing a biobank is time consuming and laborious. Forming a network requires significantly more time due to the need for cross-institutional harmonization of policies, procedures, information technology considerations, and ethics. Circumstances may dictate whether development occurs top-down and/or bottom-up, as well as whether network management may be independent or by personnel from participating biobanks. Funding tends to be a prominent issue for biobanks and networks alike. In particular, networks function optimally with some level of government support, particularly for personnel. Quality biospecimen collection involves meticulously documented coordination with a network of medical and nursing staff. Examining and sampling operative specimens requires timely collaboration between the surgical and pathology teams. "Catch rates" for samples may be difficult to predict and may occur at a frequency less than anticipated due to factors related to the institution, staff, or specimen. These factors may affect specimen quality, and have a downstream effect on competition for specimens for research. Thus, release of samples requires a fair, carefully constructed sample access policy, usually incorporating an incentive for researchers, and an encouragement to form collaborations. Finally, the public and patient groups should aim to

  9. Promoting Cognitive Health: A Formative Research Collaboration of the Healthy Aging Research Network

    ERIC Educational Resources Information Center

    Laditka, James N.; Beard, Renee L.; Bryant, Lucinda L.; Fetterman, David; Hunter, Rebecca; Ivey, Susan; Logsdon, Rebecca G.; Sharkey, Joseph R.; Wu, Bei

    2009-01-01

    Purpose: Evidence suggests that healthy lifestyles may help maintain cognitive health. The Prevention Research Centers Healthy Aging Research Network, 9 universities collaborating with their communities and the Centers for Disease Control and Prevention, is conducting a multiyear research project, begun in 2005, to understand how to translate this…

  10. Lysimeter Research Group - A scientific community network for lysimeter research

    NASA Astrophysics Data System (ADS)

    Cepuder, Peter; Nolz, Reinhard; Bohner, Andreas; Baumgarten, Andreas; Klammler, Gernot; Murer, Erwin; Wimmer, Bernhard

    2014-05-01

    A lysimeter is a vessel that isolates a volume of soil between ground surface and a certain depth, and includes a sampling device for percolating water at its bottom. Lysimeters are traditionally used to study water and solute transport in the soil. Equipped with a weighing system, soil water sensors and temperature sensors, lysimeters are valuable instruments to investigate hydrological processes in the system soil-plant-atmosphere, especially fluxes across its boundary layers, e.g. infiltration, evapotranspiration and deep drainage. Modern lysimeter facilities measure water balance components with high precision and high temporal resolution. Hence, lysimeters are used in various research disciplines - such as hydrology, hydrogeology, soil science, agriculture, forestry, and climate change studies - to investigate hydrological, chemical and biological processes in the soil. The Lysimeter Research Group (LRG) was established in 1992 as a registered nonprofit association with free membership (ZVR number: 806128239, Austria). It is organized as an executive board with an international scientific steering committee. In the beginning the LRG focused mainly on nitrate contamination in Austria and its neighboring countries. Today the main intention of the LRG is to advance interdisciplinary exchange of information between researchers and users working in the field of lysimetry on an international level. The LRG also aims for the dissemination of scientific knowledge to the public and the support of decision makers. Main activities are the organization of a lysimeter conference every two years in Raumberg-Gumpenstein (Styria, Austria), the organization of excursions to lysimeter stations and related research sites around Europe, and the maintenance of a website (www.lysimeter.at). The website contains useful information about numerous European lysimeter stations regarding their infrastructure, instrumentation and operation, as well as related links and references which

  11. Patient-powered research networks aim to improve patient care and health research.

    PubMed

    Fleurence, Rachael L; Beal, Anne C; Sheridan, Susan E; Johnson, Lorraine B; Selby, Joe V

    2014-07-01

    The era of big data, loosely defined as the development and analysis of large or complex data sets, brings new opportunities to empower patients and their families to generate, collect, and use their health information for both clinical and research purposes. In 2013 the Patient-Centered Outcomes Research Institute launched a large national research network, PCORnet, that includes both clinical and patient-powered research networks. This article describes these networks, their potential uses, and the challenges they face. The networks are engaging patients, family members, and caregivers in four key ways: contributing data securely, with privacy protected; including diverse and representative groups of patients in research; prioritizing research questions, participating in research, and disseminating results; and participating in the leadership and governance of patient-powered research networks. If technical, regulatory, and organizational challenges can be overcome, PCORnet will allow research to be conducted more efficiently and cost-effectively and results to be disseminated quickly back to patients, clinicians, and delivery systems to improve patient health.

  12. A feminist critique of breast cancer research among Korean women.

    PubMed

    Im, E O

    2000-08-01

    Studies indicate ethnic differences in incidence, mortality, and survival rate of breast cancer. Despite the low incidence rate of breast cancer among the Korean population, Koreans are reported to be less likely to survive breast cancer. In this article, using a feminist perspective, the reasons why Korean women have been reported to be less likely to survive breast cancer are analyzed through a critical review of research among Korean women. A total of 469 studies (145 unpublished master's theses and doctoral dissertations and 324 articles published in South Korea and in the United States) were reviewed, analyzed, and critiqued in terms of biases present in the research process. Through a feminist critique of the literature, four possible reasons are proposed: androcentric views and assumptions underlying the research, modesty issues imbedded in Korean culture, the victim-blaming tendency of Korean culture, and intense emotions without adequate support.

  13. Networking Research Infrastructures for Earthquake Seismology in Europe

    NASA Astrophysics Data System (ADS)

    Giardini, Domenico; van Eck, Torild; Bossu, Rémy; Wiemer, Stefan

    2008-06-01

    In the past decade, European countries have experienced a surge in funding, of the order of 100 million euro (€100 million), for new earthquake monitoring equipment and initiatives. Permanent and mobile seismograph and accelerometer networks on national, regional, and global levels are being modernized and are expanding at a significant pace. Currently, earthquakes in the European-Mediterranean region are recorded by more than 2500 short-period (SP) seismometers, 3000 accelerometers, and 800 broadband (BB) permanent seismic stations operated by more than 100 networks and observatories. An additional 400 BB and more than 1200 SP mobile stations are deployed by universities and research institutes in temporary experiments. This unprecedented and still-expanding recording capacity in Europe and its immediate surroundings opens up new research opportunities as well as new data-handling challenges. For example, maintaining optimum access to the data and integrating facilities with different types of data require a high level of networking and coordination.

  14. Nutrigenetics in cancer research--folate metabolism and colorectal cancer.

    PubMed

    Ulrich, Cornelia M

    2005-11-01

    The B vitamin folate is essential for one-carbon transfer reactions, including those related to the methylation of DNA or other substrates and nucleotide synthesis. Epidemiologic and experimental studies implicate low-folate intakes in elevated risk of colorectal neoplasia and suggest that biologic mechanisms underlying this relation include disturbances in DNA methylation patterns or adverse effects on DNA synthesis and repair. With the completion of the Human Genome Project, a vast amount of data on inherited genetic variability has become available. This genetic information can be used in studies of molecular epidemiology to provide information on multiple aspects of folate metabolism. First, studies linking polymorphisms in folate metabolism to an altered risk of cancer provide evidence for a causal link between this pathway and colorectal carcinogenesis. Second, studies on genetic characteristics can help clarify whether certain individuals may benefit from higher or lower intakes of folate or nutrients relevant to folate metabolism. Third, studies on genetic polymorphisms can generate hypotheses regarding possible biologic mechanisms that connect this pathway to carcinogenesis. Last, genetic variability in folate metabolism may predict survival after a cancer diagnosis, possibly via pharmacogenetic effects. To solve the puzzle of the folate-cancer relation, a transdisciplinary approach is needed that integrates knowledge from epidemiology, clinical studies, experimental nutrition, and mathematical modeling. This review illustrates knowledge that can be gained from molecular epidemiology in the context of nutrigenetics, and the questions that this approach can answer or raise.

  15. Higher Education Change and Social Networks: A Review of Research

    ERIC Educational Resources Information Center

    Kezar, Adrianna

    2014-01-01

    This article reviews literature on the potential for understanding higher education change processes through social network analysis (SNA). In this article, the main tenets of SNA are reviewed and, in conjunction with organizational theory, are applied to higher education change to develop a set of hypotheses that can be tested in future research.

  16. Artificial Neural Networks in Policy Research: A Current Assessment.

    ERIC Educational Resources Information Center

    Woelfel, Joseph

    1993-01-01

    Suggests that artificial neural networks (ANNs) exhibit properties that promise usefulness for policy researchers. Notes that ANNs have found extensive use in areas once reserved for multivariate statistical programs such as regression and multiple classification analysis and are developing an extensive community of advocates for processing text…

  17. Exploration of Heterogeneity in Distributed Research Network Drug Safety Analyses

    ERIC Educational Resources Information Center

    Hansen, Richard A.; Zeng, Peng; Ryan, Patrick; Gao, Juan; Sonawane, Kalyani; Teeter, Benjamin; Westrich, Kimberly; Dubois, Robert W.

    2014-01-01

    Distributed data networks representing large diverse populations are an expanding focus of drug safety research. However, interpreting results is difficult when treatment effect estimates vary across datasets (i.e., heterogeneity). In a previous study, risk estimates were generated for selected drugs and potential adverse outcomes. Analyses were…

  18. Using Action Research to Investigate Social Networking Technologies

    ERIC Educational Resources Information Center

    Worrall, Lisa; Harris, Katy

    2013-01-01

    This article outlines the first cycle of an Action Research (AR) investigation into why professional learners are not using the Social Networking Technologies (SNTs) of their bespoke website. It presents the rationale of how this study came about, the ontological and epistemological stance of the authors and how this led to the particular choice…

  19. The Georgia Psychoeducational Network (GPN) Research Report, 1988.

    ERIC Educational Resources Information Center

    Swan, William W., Ed.; Brown, Carvin L., Ed.

    1988-01-01

    This research report contains seven papers on students with serious Emotional Disturbances (SED) and/or Severe Behavior Disorder (SBD) who participated in the Georgia Psychoeducational Network Program (GPN). "The 1982 Cohort of GPN Preschoolers--Where Are They in 1987-1988?" (Juanda Ponsell and others) reports the placement of 75…

  20. Water resources: Research network to track alpine water

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The water cycle in alpine environments worldwide supplies fresh water to vast downstream areas inhabited by more than half of humanity. The International Network for Alpine Research Catchment Hydrology (INARCH) was launched this year by the Global Energy and Water Exchanges project of the World Clim...

  1. Exploring Knowledge Processes Based on Teacher Research in a School-University Research Network of a Master's Program

    ERIC Educational Resources Information Center

    Cornelissen, Frank; van Swet, Jacqueline; Beijaard, Douwe; Bergen, Theo

    2013-01-01

    School-university research networks aim at closer integration of research and practice by means of teacher research. Such practice-oriented research can benefit both schools and universities. This paper reports on a multiple-case study of five participants in a school-university research network in a Dutch master's program. The research question…

  2. Brain Cancer in Workers Employed at a Laboratory Research Facility

    PubMed Central

    Collins, James J.; Bender, Thomas John; Bonner, Eileen M.; Bodner, Kenneth M.; Kreft, Alisa M.

    2014-01-01

    Background An earlier study of research facility workers found more brain cancer deaths than expected, but no workplace exposures were implicated. Methods Adding four additional years of vital-status follow-up, we reassessed the risk of death from brain cancer in the same workforce, including 5,284 workers employed between 1963, when the facility opened, and 2007. We compared the work histories of the brain cancer decedents in relationship to when they died and their ages at death. Results As in most other studies of laboratory and research workers, we found low rates of total mortality, total cancers, accidents, suicides, and chronic conditions such as heart disease and diabetes. We found no new brain cancer deaths in the four years of additional follow-up. Our best estimate of the brain cancer standardized mortality ratio (SMR) was 1.32 (95% confidence interval [95% CI] 0.66–2.37), but the SMR might have been as high as 1.69. Deaths from benign brain tumors and other non-malignant diseases of the nervous system were at or below expected levels. Conclusion With the addition of four more years of follow-up and in the absence of any new brain cancers, the updated estimate of the risk of brain cancer death is smaller than in the original study. There was no consistent pattern among the work histories of decedents that indicated a common causative exposure. PMID:25493437

  3. 75 FR 14172 - National Cancer Institute; Notice of Closed Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-24

    ... Special Emphasis Panel, Probing DNA Damage and Repair Networks by Synthetic Lethal Screening. Date: April... Biology Research; 93.397, Cancer Centers Support; 93.398, Cancer Research Manpower; 93.399, Cancer...

  4. 75 FR 55360 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-10

    ... Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010 Strategic Plan AGENCY: The National Coordination Office (NCO) for Networking and Information Technology Research... and Information Technology Research and Development (NITRD) requests comments from the...

  5. 75 FR 57521 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-21

    ... FOUNDATION Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010... Technology Research and Development (NITRD). ACTION: Notice, request for public comment. FOR FURTHER... Coordination Office for Networking and Information Technology Research and Development (NITRD)...

  6. Interdependent networks - Topological percolation research and application in finance

    NASA Astrophysics Data System (ADS)

    Zhou, Di

    This dissertation covers the two major parts of my Ph.D. research: i) developing a theoretical framework of complex networks and applying simulation and numerical methods to study the robustness of the network system, and ii) applying statistical physics concepts and methods to quantitatively analyze complex systems and applying the theoretical framework to study real-world systems. In part I, we focus on developing theories of interdependent networks as well as building computer simulation models, which includes three parts: 1) We report on the effects of topology on failure propagation for a model system consisting of two interdependent networks. We find that the internal node correlations in each of the networks significantly changes the critical density of failures, which can trigger the total disruption of the two-network system. Specifically, we find that the assortativity within a single network decreases the robustness of the entire system. 2) We study the percolation behavior of two interdependent scale-free (SF) networks under random failure of 1-p fraction of nodes. We find that as the coupling strength q between the two networks reduces from 1 (fully coupled) to 0 (no coupling), there exist two critical coupling strengths q1 and q2 , which separate the behaviors of the giant component as a function of p into three different regions, and for q2 < q < q 1 , we observe a hybrid order phase transition phenomenon. 3) We study the robustness of n interdependent networks with partially support-dependent relationship both analytically and numerically. We study a starlike network of n Erdos-Renyi (ER), SF networks and a looplike network of n ER networks, and we find for starlike networks, their phase transition regions change with n, but for looplike networks the phase regions change with average degree k . In part II, we apply concepts and methods developed in statistical physics to study economic systems. We analyze stock market indices and foreign exchange

  7. The Use and Significance of a Research Networking System

    PubMed Central

    Yuan, Leslie; Daigre, John; Meeks, Eric; Nelson, Katie; Piontkowski, Cynthia; Reuter, Katja; Sak, Rachael; Turner, Brian; Weber, Griffin M; Chatterjee, Anirvan

    2014-01-01

    Background Universities have begun deploying public Internet systems that allow for easy search of their experts, expertise, and intellectual networks. Deployed first in biomedical schools but now being implemented more broadly, the initial motivator of these research networking systems was to enable easier identification of collaborators and enable the development of teams for research. Objective The intent of the study was to provide the first description of the usage of an institutional research “social networking” system or research networking system (RNS). Methods Number of visits, visitor location and type, referral source, depth of visit, search terms, and click paths were derived from 2.5 years of Web analytics data. Feedback from a pop-up survey presented to users over 15 months was summarized. Results RNSs automatically generate and display profiles and networks of researchers. Within 2.5 years, the RNS at the University of California, San Francisco (UCSF) achieved one-seventh of the monthly visit rate of the main longstanding university website, with an increasing trend. Visitors came from diverse locations beyond the institution. Close to 75% (74.78%, 208,304/278,570) came via a public search engine and 84.0% (210 out of a sample of 250) of these queried an individual’s name that took them directly to the relevant profile page. In addition, 20.90% (214 of 1024) visits went beyond the page related to a person of interest to explore related researchers and topics through the novel and networked information provided by the tool. At the end of the period analyzed, more than 2000 visits per month traversed 5 or more links into related people and topics. One-third of visits came from returning visitors who were significantly more likely to continue to explore networked people and topics (P<.001). Responses to an online survey suggest a broad range of benefits of using the RNS in supporting the research and clinical mission. Conclusions Returning

  8. Towards research-tested smartphone applications for preventing breast cancer

    PubMed Central

    Coughlin, Steven S.; Thind, Herpreet; Liu, Benyuan; Wilson, Lt Col Candy

    2016-01-01

    Efforts to prevent breast cancer and other chronic illnesses have focused on promoting physical activity, healthy diet and nutrition, and avoidance of excessive alcohol consumption. Smartphone applications (apps) offer a low-cost, effective strategy for breast cancer prevention in women through behavioral change. However, there are currently no research-tested smartphone apps for breast cancer prevention that are suitable for women with varying levels of health literacy and eHealth literacy. In this perspective, we consider modifiable risk factors for breast cancer in women in relation to the development of smartphone apps to promote healthy behaviors associated with breast cancer-risk reduction. First, we provide a summary of breast cancer risk factors that are modifiable through behavioral change including their corresponding relative risk. Second, we discuss scientific issues related to the development of smartphone apps for the primary prevention of breast cancer and offer suggestions for further research. Smartphone apps for preventing breast cancer should be tailored for women at different life stages (e.g., young women, women who are post-menopausal, and older women). Topics such as breastfeeding and oral contraceptives are appropriate for younger women. Weight management, physical activity, avoiding cigarette smoking, and dispelling breast cancer myths are appropriate for women of all ages. As women age, topics such as hormone replacement therapy or comorbid health conditions become more important to address. Apps for breast cancer prevention should be grounded in a behavioral theory or framework and should be suitable for people with varying levels of health literacy. Future developments in smartphone apps for breast cancer prevention should include apps that are tailored for specific cultural, racial, and ethnic groups. PMID:27390745

  9. EARLINET: potential operationality of a research network

    NASA Astrophysics Data System (ADS)

    Sicard, M.; D'Amico, G.; Comerón, A.; Mona, L.; Alados-Arboledas, L.; Amodeo, A.; Baars, H.; Belegante, L.; Binietoglou, I.; Bravo-Aranda, J. A.; Fernández, A. J.; Fréville, P.; García-Vizcaíno, D.; Giunta, A.; Granados-Muñoz, M. J.; Guerrero-Rascado, J. L.; Hadjimitsis, D.; Haefele, A.; Hervo, M.; Iarlori, M.; Kokkalis, P.; Lange, D.; Mamouri, R. E.; Mattis, I.; Molero, F.; Montoux, N.; Muñoz, A.; Muñoz Porcar, C.; Navas-Guzmán, F.; Nicolae, D.; Nisantzi, A.; Papagiannopoulos, N.; Papayannis, A.; Pereira, S.; Preißler, J.; Pujadas, M.; Rizi, V.; Rocadenbosch, F.; Sellegri, K.; Simeonov, V.; Tsaknakis, G.; Wagner, F.; Pappalardo, G.

    2015-07-01

    In the framework of ACTRIS summer 2012 measurement campaign (8 June-17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated to the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time the Single-Calculus Chain (SCC), the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products, was used. All stations sent in real time measurements of 1 h of duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC while the optical processing was performed in near-real time after the exercise ended. 98 and 84 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on lidar data. The paper shows time series of continuous and homogeneously obtained products retrieved at different levels of the SCC: range-square corrected signals (pre-processing) and daytime backscatter and nighttime extinction coefficient profiles (optical processing), as well as combined plots of all direct and derived optical products. The derived products include backscatter- and extinction-related Ångström exponents, lidar ratios and color ratios. The combined plots reveal extremely valuable for aerosol classification. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modelling, climate research and calibration/validation activities of spaceborne observations.

  10. The Global Network for Women's and Children's Health Research: A model of capacity-building research.

    PubMed

    Koso-Thomas, Marion; McClure, Elizabeth M

    2015-10-01

    In response to the global effort to accelerate progress towards the Millennium Development Goals 4 and 5, a partnership was created between the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the Bill and Melinda Gates Foundation to establish the Global Network for Women's and Children's Health Research (Global Network) in 2000. The Global Network was developed with a goal of building local maternal and child health research capacity in resource-poor settings. The objective of the network was to conduct research focused on several high-need areas, such as preventing life-threatening obstetric complications, improving birth weight and infant growth, and improving childbirth practices in order to reduce mortality. Scientists from developing countries, together with peers in the USA, lead research teams that identify and address population needs through randomized clinical trials and other research studies. Global Network projects develop and test cost-effective, sustainable interventions for pregnant women and newborns and provide guidance for national policy and for the practice of evidence-based medicine. This article reviews the results of the Global Network's research, the impact on policy and practice, and highlights the capacity-building efforts and collaborations developed since its inception.

  11. The Global Network for Women's and Children's Health Research: A model of capacity-building research

    PubMed Central

    Koso-Thomas, Marion; McClure, Elizabeth M.

    2016-01-01

    SUMMARY In response to the global effort to accelerate progress towards the Millennium Development Goals 4 and 5, a partnership was created between the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the Bill and Melinda Gates Foundation to establish the Global Network for Women's and Children's Health Research (Global Network) in 2000. The Global Network was developed with a goal of building local maternal and child health research capacity in resource-poor settings. The objective of the network was to conduct research focused on several high-need areas, such as preventing life-threatening obstetric complications, improving birth weight and infant growth, and improving childbirth practices in order to reduce mortality. Scientists from developing countries, together with peers in the USA, lead research teams that identify and address population needs through randomized clinical trials and other research studies. Global Network projects develop and test cost-effective, sustainable interventions for pregnant women and newborns and provide guidance for national policy and for the practice of evidence-based medicine. This article reviews the results of the Global Network's research, the impact on policy and practice, and highlights the capacity-building efforts and collaborations developed since its inception. PMID:26043962

  12. Social networking and online recruiting for HIV research: ethical challenges.

    PubMed

    Curtis, Brenda L

    2014-02-01

    Social networking sites and online advertising organizations provide HIV/AIDS researchers access to target populations, often reaching difficult-to-reach populations. However, this benefit to researchers raises many issues for the protections of prospective research participants. Traditional recruitment procedures have involved straightforward transactions between the researchers and prospective participants; online recruitment is a more complex and indirect form of communication involving many parties engaged in the collecting, aggregating, and storing of research participant data. Thus, increased access to online data has challenged the adequacy of current and established procedures for participants' protections, such as informed consent and privacy/confidentiality. Internet-based HIV/AIDS research recruitment and its ethical challenges are described, and research participant safeguards and best practices are outlined.

  13. Proceedings: EPRI Cancer Workshop II on laboratory research

    SciTech Connect

    Kavet, R.

    1993-09-01

    A workshop on Electric and Magnetic Fields (EMF) and Cancer was held in Washington, DC, on September 6, 1991, organized by the Electric Power Research Institute (EPRI) EMF Health Studies Program. The primary objective of the EPRI Cancer Research Workshop II was to review the status and future of the Institute`s laboratory research program on EMF and cancer; program direction had been determined based on recommendations from EPRI`s first cancer workshop in July 1988. Research that addressed these recommendations in the intervening three years, either within the EPRI program or in other programs around the world, was reviewed. To identify laboratory research that would be responsive to current needs, workshop participants discussed four experimental systems, key results, and areas for further research. These systems include the mouse skin tumor model, use of C3H/l0T1/2 cells and their derivatives, the nude mouse model, and pineal research. In the final phase of the workshop participants developed recommendations for future research that could help resolve what role, if any, EMF exposure plays in carcinogenesis. EPRI`s EMF Health Studies Program is considering these recommendations within the process of evaluating existing projects and developing new laboratory research.

  14. Building Research Infrastructure in Community Health Centers: A Community Health Applied Research Network (CHARN) Report

    PubMed Central

    Likumahuwa, Sonja; Song, Hui; Singal, Robbie; Weir, Rosy Chang; Crane, Heidi; Muench, John; Sim, Shao-Chee; DeVoe, Jennifer E.

    2015-01-01

    This article introduces the Community Health Applied Research Network (CHARN), a practice-based research network of community health centers (CHCs). Established by the Health Resources and Services Administration in 2010, CHARN is a network of 4 community research nodes, each with multiple affiliated CHCs and an academic center. The four nodes (18 individual CHCs and 4 academic partners in 9 states) are supported by a data coordinating center. Here we provide case studies detailing how CHARN is building research infrastructure and capacity in CHCs, with a particular focus on how community practice-academic partnerships were facilitated by the CHARN structure. The examples provided by the CHARN nodes include many of the building blocks of research capacity: communication capacity and “matchmaking” between providers and researchers; technology transfer; research methods tailored to community practice settings; and community institutional review board infrastructure to enable community oversight. We draw lessons learned from these case studies that we hope will serve as examples for other networks, with special relevance for community-based networks seeking to build research infrastructure in primary care settings. PMID:24004710

  15. Dr. Worta McCaskill-Stevens Named Recipient of AACR Minorities in Cancer Research Award | Division of Cancer Prevention

    Cancer.gov

    Worta McCaskill-Stevens, MD, MS, Chief of the Community Oncology and Prevention Trials Research Group, NCI Division of Cancer Prevention, was named the recipient of the 2016 American Association for Cancer Research Jane Cooke Wright Memorial Lectureship. |

  16. Immunomediated Pan-cancer Regulation Networks are Dominant Fingerprints After Treatment of Cell Lines with Demethylation

    PubMed Central

    El Baroudi, Mariama; Cinti, Caterina; Capobianco, Enrico

    2016-01-01

    Pan-cancer studies are particularly relevant not only for addressing the complexity of the inherently observed heterogeneity but also for identifying clinically relevant features that may be common to the cancer types. Immune system regulations usually reveal synergistic modulation with other cancer mechanisms and in combination provide insights on possible advances in cancer immunotherapies. Network inference is a powerful approach to decipher pan-cancer systems dynamics. The methodology proposed in this study elucidates the impacts of epigenetic treatment on the drivers of complex pan-cancer regulation circuits involving cell lines of five cancer types. These patterns were observed from differential gene expression measurements following demethylation with 5-azacytidine. Networks were built to establish associations of phenotypes at molecular level with cancer hallmarks through both transcriptional and post-transcriptional regulation mechanisms. The most prominent feature that emerges from our integrative network maps, linking pathway landscapes to disease and drug-target associations, refers primarily to a mosaic of immune-system crosslinked influences. Therefore, characteristics initially evidenced in single cancer maps become motifs well summarized by network cores and fingerprints. PMID:27147816

  17. Advances in cancer research: Volume 47

    SciTech Connect

    Klein, G.; Weinhouse, S.

    1986-01-01

    This book contains eight chapters. Some of the titles are: Genetic Epidemiology of Familial Aggregation of Cancer; Terminal Transferase in Normal and Leukemic Cells; Malignant Metamorphosis: Developmental Genes as Culprits for Oncogenesis in Xiphophorus; and Transcription Activation by Viral and Cellular Oncogenes.

  18. Advances in cancer research. Volume 48

    SciTech Connect

    Klein, G.; Weinhouse, S.

    1987-01-01

    This book contains the following five selections: Oncotrophoblast Gene Expression: Placental Alkaline Phosphatase; Cellular Events during Hepatocarcinogenesis in Rats and the Questions of Premalignancy; Human Papillomaviruses and Genital Cancer; Herpes Simplex Type 2 Virus and Cervical Neoplasia; and Transforming Genes and Target Cells of Murine Spleen Focus-Forming Viruses.

  19. What specifications for a centre or network of excellence in clinical research?

    PubMed

    Diebolt, Vincent; Lang, Marie; Thoby, Frédérique

    2016-02-01

    The Giens 2015 Workshop Round Table entitled "What specifications for a centre or network of excellence in clinical research?" took a viewpoint distinct from earlier work and studies on changes in clinical research activities in France. The purpose of the present work was to identify, starting from concrete examples, the main strengths and advantages of clinical research activity in France related, in part, to the background environment and also to the specific characteristics of the investigation centres considered to be among the most high-performance units in activity. The criteria retained were grouped into a set of specifications that could be used to establish a "label of excellence" upon which the different teams and clinical research centres could model themselves. It was thus considered that belonging to a centre or structured network with at least a national configuration, when this is possible for the medial topic in question, constitutes a real advantage. Four benchmarks were identified: the scientific and clinical expertise of the head investigator, as well as the qualification and operational capacity of the centre's team; definition and measurement of performance using clearly displayed indicators and evaluation procedures; the quality of the overall trial "process" and of each of its component steps; communication, because know-how and promotion go hand in hand, with the main objective of informing the professional and general public about the value of the research centre meeting the above-mentioned criteria, about its networks of competencies, and more generally, about the important assets of the background of clinical research in France. This sector of research is funded by the public authorities via calls for public grants, financial aids for structures supporting clinical research in the University Hospital Centres and other healthcare institutions allowing for a professionalization of the research occupations, and the national public health

  20. Research trends in wireless visual sensor networks when exploiting prioritization.

    PubMed

    Costa, Daniel G; Guedes, Luiz Affonso; Vasques, Francisco; Portugal, Paulo

    2015-01-15

    The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power cameras for visual monitoring, a new scope of challenges is raised, demanding new research efforts. In this context, the resource-constrained nature of sensor nodes has demanded the use of prioritization approaches as a practical mechanism to lower the transmission burden of visual data over wireless sensor networks. Many works in recent years have considered local-level prioritization parameters to enhance the overall performance of those networks, but global-level policies can potentially achieve better results in terms of visual monitoring efficiency. In this paper, we make a broad review of some recent works on priority-based optimizations in wireless visual sensor networks. Moreover, we envisage some research trends when exploiting prioritization, potentially fostering the development of promising optimizations for wireless sensor networks composed of visual sensors.