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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. Differential Network Analysis in Human Cancer Research

    PubMed Central

    Gill, Ryan; Datta, Somnath; Datta, Susmita

    2016-01-01

    A complex disease like cancer is hardly caused by one gene or one protein singly. It is usually caused by the perturbation of the network formed by several genes or proteins. In the last decade several research teams have attempted to construct interaction maps of genes and proteins either experimentally or reverse engineer interaction maps using computational techniques. These networks were usually created under a certain condition such as an environmental condition, a particular disease, or a specific tissue type. Lately, however, there has been greater emphasis on finding the differential structure of the existing network topology under a novel condition or disease status to elucidate the perturbation in a biological system. In this review/tutorial article we briefly mention some of the research done in this area; we mainly illustrate the computational/statistical methods developed by our team in recent years for differential network analysis using publicly available gene expression data collected from a well known cancer study. This data includes a group of patients with acute lymphoblastic leukemia and a group with acute myeloid leukemia. In particular, we describe the statistical tests to detect the change in the network topology based on connectivity scores which measure the association or interaction between pairs of genes. The tests under various scores are applied to this data set to perform a differential network analysis on gene expression for human leukemia. We believe that, in the future, differential network analysis will be a standard way to view the changes in gene expression and protein expression data globally and these types of tests could be useful in analyzing the complex differential signatures. PMID:23530503

  3. Network for Translational Research - Cancer Imaging Program

    Cancer.gov

    Cooperative agreement (U54) awards to establish Specialized Research Resource Centers that will participate as members of a network of inter-disciplinary, inter-institutional research teams for the purpose of supporting translational research in optical imaging and/or spectroscopy in vivo, with an emphasis on multiple modalities.

  4. 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. PMID:27597964

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

    PubMed Central

    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. PMID:27597964

  6. 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.

  7. Bladder Cancer Advocacy Network

    MedlinePlus

    ... future bladder cancer research through the Patient Survey Network. Read More... Don’t Miss the 2016 BCAN ... Click here for more details Bladder Cancer Advocacy Network 4915 St. Elmo Avenue, Suite 202 Bethesda, Maryland ...

  8. 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

    2015-01-01

    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. PMID:26578263

  9. 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).

  10. 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.

  11. 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. PMID:26670560

  12. 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…

  13. Research collaboration in the discovery, development, and delivery networks of a statewide cancer coalition

    PubMed Central

    Provan, Keith G.; Leischow, Scott J.; Keagy, Judith; Nodora, Jesse

    2014-01-01

    This study examines and evaluates collaborative network involvement among 18 organizations within the Arizona Cancer Coalition. All were involved in one or more of three types of research activity: discovery, development, and delivery, consistent with the 3D continuum developed by the National Cancer Institute. Data were collected in 2007 using surveys of key informants in each organization. Using network analysis methods, we examined the structure of each type of network as well as the relationship between network position and the importance of cancer research to each organization’s mission. Findings indicated that while both the discovery and delivery networks were comparably densely connected, their centrality structures were quite different. In contrast, the structures of both these networks were similar to the development network. Centrality in the discovery and development networks was positively related to the importance of cancer research to the organization, but not in the delivery network. Implications of the findings for future research, policy, and planning are discussed. PMID:20061027

  14. 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)…

  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. PMID:16944470

  16. 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.

  17. Network structure and the role of key players in a translational cancer research network: a study protocol

    PubMed Central

    Cunningham, Frances C; Braithwaite, Jeffrey

    2012-01-01

    Introduction Translational research networks are a deliberate strategy to bridge the gulf between biomedical research and clinical practice through interdisciplinary collaboration, supportive funding and infrastructure. The social network approach examines how the structure of the network and players who hold important positions within it constrain or enable function. This information can be used to guide network management and optimise its operations. The aim of this study was to describe the structure of a translational cancer research network (TCRN) in Australia over its first year, identify the key players within the network and explore these players' opportunities and constraints in maximising important network collaborations. Methods and analysis This study deploys a mixed-method longitudinal design using social network analysis augmented by interviews and review of TCRN documents. The study will use network documents and interviews with governing body members to explore the broader context into which the network is embedded as well as the perceptions and expectations of members. Of particular interest are the attitudes and perceptions of clinicians compared with those of researchers. A co-authorship network will be constructed of TCRN members using journal and citation databases to assess the success of past pre-network collaborations. Two whole network social network surveys will be administered 12 months apart and parameters such as density, clustering, centrality and betweenness centrality computed and compared using UCINET and Netdraw. Key players will be identified and interviewed to understand the specific activities, barriers and enablers they face in that role. Ethics and dissemination Ethics approvals were obtained from the University of New South Wales, South Eastern Sydney Northern Sector Local Health Network and Calvary Health Care Sydney. Results will be discussed with members of the TCRN, submitted to relevant journals and presented as oral

  18. 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

  19. The greater Denver Latino Cancer Prevention/Control Network. Prevention and research through a community-based approach.

    PubMed

    Flores, Estevan; Espinoza, Paula; Jacobellis, Jillian; Bakemeier, Richard; Press, Norma

    2006-10-15

    The Latino/a Research & Policy Center (LRPC), at the University of Colorado (UC) at Denver and Health Sciences Center built the Greater Denver Latino Cancer Prevention Network, a successful cancer prevention network, in 6 Denver metro area counties. The Network consisted of 23 Latino community-based organizations, health clinics, social service agencies, faith-based groups, and employee-based organizations; 2 migrant health clinics; and 14 scientific partners including the UC Comprehensive Cancer Center, the Colorado Department of Public Health and Environment, and the American Cancer Society. The Network focused on 5 significant cancers: breast, cervical, lung, colorectal, and prostate cancer. The Steering Committee initiated a review process for junior researchers that resulted in 5 NCI-funded pilot projects. Pilot projects were conducted with various Latino populations. The Network developed community education and health promotion projects including the bilingual outreach play The Cancer Monologues. The Network's partnership also started and held 2 annual health fairs, Dia de la Mujer Latina/Day of the Latina Woman, and annual health prevention summits. The Special Population Network (SPN) adapted and revised a clinical trials education outreach module that reached Network community partners. SPN partners recruited Latino/a students to cancer research through a6-week NCI training program held yearly at the UCHSC campus. The Network methodology of bringing together the Latino community with the scientific community increased the level of awareness of cancer in the Latino community and increased cancer research and the level of engagement of the scientific partners with the Latino community. Cancer 2006. (c) 2006 American Cancer Society. PMID:16921493

  20. The Cervix Cancer Research Network: Increasing Access to Cancer Clinical Trials in Low- and Middle-Income Countries

    PubMed Central

    Suneja, Gita; Bacon, Monica; Small, William; Ryu, Sang Y.; Kitchener, Henry C.; Gaffney, David K.

    2015-01-01

    Introduction: The burden of cervical cancer is large and growing in developing countries, due in large part to limited access to screening services and lack of human papillomavirus (HPV) vaccination. In spite of modern advances in diagnostic and therapeutic modalities, outcomes from cervical cancer have not markedly improved in recent years. Novel clinical trials are urgently needed to improve outcomes from cervical cancer worldwide. Methods: The Cervix Cancer Research Network (CCRN), a subsidiary of the Gynecologic Cancer InterGroup, is a multi-national, multi-institutional consortium of physicians and scientists focused on improving cervical cancer outcomes worldwide by making cancer clinical trials available in low-, middle-, and high-income countries. Standard operating procedures for participation in CCRN include a pre-qualifying questionnaire to evaluate clinical activities and research infrastructure, followed by a site visit. Once a site is approved, they may choose to participate in one of four currently accruing clinical trials. Results: To date, 13 different CCRN site visits have been performed. Of these 13 sites visited, 10 have been approved as CCRN sites including Tata Memorial Hospital, India; Bangalore, India; Trivandrum, India; Ramathibodi, Thailand; Siriaj, Thailand; Pramongkutklao, Thailand; Ho Chi Minh, Vietnam; Blokhin Russian Cancer Research Center; the Hertzen Moscow Cancer Research Institute; and the Russian Scientific Center of Roentgenoradiology. The four currently accruing clinical trials are TACO, OUTBACK, INTERLACE, and SHAPE. Discussion: The CCRN has successfully enrolled eight sites in developing countries to participate in four randomized clinical trials. The primary objectives are to provide novel therapeutics to regions with the greatest need and to improve the validity and generalizability of clinical trial results by enrolling a diverse sample of patients. PMID:25745604

  1. 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. PMID:24503807

  2. Leadership in complex networks: the importance of network position and strategic action in a translational cancer research network

    PubMed Central

    2013-01-01

    Background Leadership behaviour in complex networks is under-researched, and little has been written concerning leadership of translational research networks (TRNs) that take discoveries made ‘at the bench’ and translate them into practices used ‘at the bedside.’ Understanding leaders’ opportunities and behaviours within TRNs working to solve this key problem in implementing evidence into clinical practice is therefore important. This study explored the network position of governing body members and perceptions of their role in a new TRN in Sydney, Australia. The paper asks three questions: Firstly, do the formal, mandated leaders of this TRN hold key positions of centrality or brokerage in the informal social network of collaborative ties? Secondly, if so, do they recognise the leadership opportunities that their network positions afford them? Thirdly, what activities associated with these key roles do they believe will maximise the TRN’s success? Methods Semi-structured interviews of all 14 governing body members conducted in early 2012 explored perceptions of their roles and sought comments on a list of activities drawn from review of successful transdisciplinary collaboratives combined with central and brokerage roles. An on-line, whole network survey of all 68 TRN members sought to understand and map existing collaborative connections. Leaders’ positions in the network were assessed using UCInet, and graphs were generated in NetDraw. Results Social network analysis identified that governing body members had high centrality and high brokerage potential in the informal network of work-related ties. Interviews showed perceived challenges including ‘silos’ and the mismatch between academic and clinical goals of research. Governing body members recognised their central positions, which would facilitate the leadership roles of leading, making decisions, and providing expert advice necessary for the co-ordination of effort and relevant input across

  3. 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.

  4. Innovative and Community-Driven Communication Practices of the South Carolina Cancer Prevention and Control Research Network

    PubMed Central

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

    2014-01-01

    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. PMID:25058673

  5. 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). |

  6. 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.

  7. Physician behaviors to promote informed decisions for prostate cancer screening: a National Research Network study.

    PubMed

    Linder, Suzanne K; Kallen, Michael A; Mullen, Patricia Dolan; Galliher, James M; Swank, Paul R; Chan, Evelyn C Y; Volk, Robert J

    2014-06-01

    Clinical guidelines for prostate cancer screening (PCS) advise physicians to discuss the potential harms and benefits of screening. However, there is a lack of training programs for informed decision-making (IDM), and it is unknown which IDM behaviors physicians have the most difficulty performing. Identifying difficult behaviors can help tailor training programs. In the context of developing a physician-IDM program for PCS, we aimed to describe physicians' use of nine key IDM behaviors for the PCS discussion and to examine the relation between the behaviors and physician characteristics. A cross-sectional sample of The American Academy of Family Physicians National Research Network completed surveys about their behavior regarding PCS (N = 246; response rate = 58%). The surveys included nine physician key IDM behaviors for PCS and a single-item question describing their general practice style for PCS. The most common IDM behavior was to invite men to ask questions. The two least common reported behaviors concerned patients uncertain about screening (i.e., arrange follow-up and provide additional information for undecided men). Physicians reported difficulty with these two behaviors regardless whether they reported to discuss or not to discuss PCS with patients. Reported use of key IDM behaviors was associated with a general practice style for PCS and being affiliated with a residency-training program. Physician training programs for IDM should include physician skills to address the needs of patients uncertain about screening. Future research should determine if actual behavior is associated with self-reported behavior for the PCS discussion. PMID:24488590

  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. PMID:26462505

  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. 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.

  13. Rare Diseases Clinical Research Network

    MedlinePlus

    ... RDCRN? Aims of the Rare Diseases Clinical Research Network Contact Us RDCRN Members Login Accessibility Disclaimer The Rare Diseases Clinical Research Network is an initiative of the Office of Rare ...

  14. Prostate Cancer Research Trial Helps John Spencer Treat His Cancer

    MedlinePlus

    ... please turn Javascript on. Feature: Prostate Cancer Prostate Cancer Research Trial Helps John Spencer Treat His Cancer Past ... Prostate Cancer" Articles Progress Against Prostate Cancer / Prostate Cancer Research Trial Helps John Spencer Treat His Cancer / Prostate ...

  15. Collaborative research networks work.

    PubMed

    Camargo, Anamaria A; Simpson, Andrew J G

    2003-08-01

    Brazil was heralded for completion of the first genome sequence of a plant pathogen following the development of a virtual research center - a collaborative network of laboratories throughout the state of São Paulo, drawing on the expertise of a dispersed and diverse scientific community and on investment from both the government and the private sector. Strategies key to the success of this model are discussed here in the context of continuing collaborative scientific endeavors in both developed and developing countries. PMID:12925684

  16. 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. PMID:15937382

  17. Identifying Network Perturbation in Cancer.

    PubMed

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

    2016-05-01

    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

  18. 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

  19. 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

  20. Network Topologies Decoding Cervical Cancer.

    PubMed

    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. 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.

  2. Biological Networks for Cancer Candidate Biomarkers Discovery.

    PubMed

    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

  3. 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

  4. 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. PMID:18564599

  5. 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.

  6. 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…

  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. Supercomputing research networks

    NASA Astrophysics Data System (ADS)

    Mulhall, Marguerite

    The need for a federal high-performance computing network has been presented before several congressional committees over the last several weeks. Championing the cause is Senator Albert Gore, Jr.(D-TN), Chairman of the Senate Subcommittee on Science, Space and Technology. Gore has been trumpeting the creation of computer “superhighways,” which would link supercomputers at universities, national laboratories and in industry and have the capability of transmitting 1000 times more data per second than current networks. The National High-Performance Computer Technology Act (S.1067) was introduced by Gore in May 1989 and authorizes $1.75 billion over 5 years for the program.The proposed program would involve the National Science Foundation, National Aeronautics and Space Administration, Department of Energy and Department of Defense. Other agencies such as National Oceanic and Atmospheric Administration, the U.S. Geological Survey, National Institutes of Health and Library of Congress would also play important roles. Gore's bill authorizes specific funds for the NSF in this area; however, to gain authorization for the program for some of the other agencies' “companion” bills must be introduced.

  10. 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. PMID:17683655

  11. 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.

  12. 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.

  13. 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.

  14. Advanced research on vasculogenic mimicry in cancer

    PubMed Central

    Qiao, Lili; Liang, Ning; Zhang, Jiandong; Xie, Jian; Liu, Fengjun; Xu, Deguo; Yu, Xinshuang; Tian, Yuan

    2015-01-01

    Vasculogenic mimicry (VM) is a brand-new tumour vascular paradigm independent of angiogenesis that describes the specific capacity of aggressive cancer cells to form vessel-like networks that provide adequate blood supply for tumour growth. A variety of molecule mechanisms and signal pathways participate in VM induction. Additionally, cancer stem cell and epithelial-mesenchymal transitions are also shown to be implicated in VM formation. As a unique perfusion way, VM is associated with tumour invasion, metastasis and poor cancer patient prognosis. Due to VM's important effects on tumour progression, more VM-related strategies are being utilized for anticancer treatment. Here, with regard to the above aspects, we make a review of advanced research on VM in cancer. PMID:25598425

  15. National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines for Lung Cancer Screening.

    PubMed

    Wood, Douglas E

    2015-05-01

    The National Comprehensive Cancer Network (NCCN), a not-for-profit alliance of 25 of the world's leading cancer centers devoted to patient care, research, and education, is dedicated to improving the quality, effectiveness, and efficiency of cancer care so that patients can live better lives. The intent of the NCCN Guidelines is to assist in the decision-making process of individuals involved in cancer care-including physicians, nurses, pharmacists, payers, patients, and their families-with the ultimate goal of advancing patient care in the fight against cancer. PMID:25901562

  16. 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

  17. Radiology Network (ACRIN) - Cancer Imaging Program

    Cancer.gov

    ACRIN is funded to improve the quality and utility of imaging in cancer research and cancer care through expert, multi-institutional clinical evaluation of discoveries and technological innovations relevant to imaging science as applied in clinical oncology.

  18. 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

  19. 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

  20. 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)...

  1. Randomness and preserved patterns in cancer network

    NASA Astrophysics Data System (ADS)

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

    2014-09-01

    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.

  2. Cancer Research Center Hotline

    PubMed Central

    Cassel, Kevin D

    2010-01-01

    The rates of melanomas and skin cancers are increasing in the United States. Children attending elementary schools are in the most danger of acquiring these diseases later in life, and elementary school children in Hawai‘i have the greatest risk of all children in the United States. The parents and educators of Hawai‘i's elementary school age children are unaware of the potential risks for cancer that young children experience every day at school. Effective sun protection policies have been implemented in other jurisdictions, including Australia, that have similar risks for over-exposure to solar ultraviolet radiation in children. These proven policy models can inform sun protection practices in Hawai‘i. A simple policy whereby public elementary schools require that children wear ordinary long sleeves shirts and hats during the school's outdoor activities will protect Hawai‘i's children from overexposure to sun's ultraviolet radiation. Establishment of a state law codifying the implementation of this simple, yet scientifically proven strategy into the policies of Hawai‘i's public elementary schools can significantly reduce the incidence and deaths from melanoma and skin cancer in the state. PMID:21218379

  3. 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

  4. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

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

  5. Breast Cancer Research at NASA

    NASA Technical Reports Server (NTRS)

    1998-01-01

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

  6. 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.

  7. Microrheology of keratin networks in cancer cells.

    PubMed

    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 decreasing storage modulus. We draw conclusions on the network topology of the keratin network types based on the mechanical behavior. PMID:24305115

  8. 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

  9. Graph Curvature for Differentiating Cancer Networks

    NASA Astrophysics Data System (ADS)

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

    2015-07-01

    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.

  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. 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).

  11. 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).

  12. 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).

  13. 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.

  14. 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.

  15. Pathway and network analysis of cancer genomes.

    PubMed

    2015-07-01

    Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations. PMID:26125594

  16. Pathway and Network Analysis of Cancer Genomes

    PubMed Central

    Haider, Syed; Wu, Guanming; Shibata, Tatsuhiro; Vazquez, Miguel; Mustonen, Ville; Gonzalez-Perez, Abel; Pearson, John; Sander, Chris; Raphael, Benjamin J.; Marks, Debora S.; Ouellette, B.F. Francis; Valencia, Alfonso; Bader, Gary D.; Boutros, Paul C.; Stuart, Joshua M.; Linding, Rune; Lopez-Bigas, Nuria; Stein, Lincoln D.

    2016-01-01

    Genomic information on tumors from 50 cancer types catalogued by The International Cancer Genome Consortium (ICGC) shows that only few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations. PMID:26125594

  17. Access to Cancer Screening in People with Learning Disabilities in the UK: Cohort Study in the Health Improvement Network, a Primary Care Research Database

    PubMed Central

    Osborn, David P. J.; Horsfall, Laura; Hassiotis, Angela; Petersen, Irene; Walters, Kate; Nazareth, Irwin

    2012-01-01

    Objectives To assess whether people with learning disability in the UK have poorer access to cancer screening. Design Four cohort studies comparing people with and without learning disability, within the recommended age ranges for cancer screening in the UK. We used Poisson regression to determine relative incidence rates of cancer screening. Setting The Health Improvement Network, a UK primary care database with over 450 General practices. Participants Individuals with a recorded diagnosis of learning disability including general diagnostic terms, specific syndromes, chromosomal abnormalities and autism in their General Practitioner computerised notes. For each type of cancer screening, a comparison cohort of up to six people without learning disability was selected for each person with a learning disability, using stratified sampling on age within GP practice. Main outcome measures Incidence rate ratios for receiving 1) a cervical smear test, 2) a mammogram, 3) a faecal occult blood test and 4) a prostate specific antigen test. Results Relative rates of screening for all four cancers were significantly lower for people with learning disability. The adjusted incidence rate ratios (95% confidence intervals) were Cervical smears: Number eligible with learning disability = 6,254; IRR = 0.54 (0.52–0.56). Mammograms: Number eligible with learning disability = 2,956; IRR = 0.76 (0.72–0.81); Prostate Specific Antigen: Number eligible = 3,520; IRR = 0.87 (0.80–0.96) and Faecal Occult Blood Number eligible = 6,566; 0.86 (0.78–0.94). Differences in screening rates were less pronounced in more socially deprived areas. Disparities in cervical screening rates narrowed over time, but were 45% lower in 2008/9, those for breast cancer screening appeared to widen and were 35% lower in 2009. Conclusion Despite recent incentives, people with learning disability in the UK are significantly less likely to receive screening tests for cancer that

  18. Use of artificial neural networks in prostate cancer.

    PubMed

    Errejon, A; Crawford, E D; Dayhoff, J; O'Donnell, C; Tewari, A; Finkelstein, J; Gamito, E J

    2001-01-01

    Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research. PMID:11790276

  19. American Institute for Cancer Research

    MedlinePlus

    ... CancerResource Where to Find Help Food for the Fight DVD Estate Planner Publications Reduce Your Cancer Risk ... By Cancer Site What Is Cancer Foods That Fight Cancer Tools You Can Use Cancer Infographics & Multimedia ...

  20. 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

  1. Overview of existing networks--is there a rationale for an Asian Cancer Registry Network?

    PubMed

    Moore, Malcolm A; Tajima, Kazuo

    2006-01-01

    Cancer registration is the base for our understanding of the burden of neoplastic disease in our populations at the local level. Comparability of data is essential for interpretation and this in turn depends on standardization of methodology and diagnostic and other criteria applied. If this is to be achieved across Asia, some form of international organization is clearly necessary. The question therefore should be whether the existing arrangement is adequate, and if this is not the case how a network in Asia might be established with due consideration of aims and attainable objectives. The present commentary focuses on the contributions made by the International Agency for Research on Cancer (IARC), the International Association of Cancer Registries (IACR), the European Network of Cancer Registries (ENCR), the North American Association of Central Cancer Registries (NAACCR) and individual country-based or region-based associations already active in Asia. An argument is presented here that there is a rationale for an Asian Network of Cancer Registries, working alongside and learning from the existing international organizations to promote effective cancer registration and disease prevention in Asia. PMID:16629537

  2. Steps toward a National Research Telecommunications Network.

    ERIC Educational Resources Information Center

    Bell, Gordon

    1988-01-01

    Summarizes the recommendations of the Computer Network Study Planning Group formed by the Office of Science and Technology Policy under the provisions of PL99-383 to study the networking needs of the nation's academic and federal research computer programs. The benefits and importance of the recommended National Research Network are discussed.…

  3. 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…

  4. 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

  5. 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 |

  6. 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.

  7. Research on the model of home networking

    NASA Astrophysics Data System (ADS)

    Yun, Xiang; Feng, Xiancheng

    2007-11-01

    It is the research hotspot of current broadband network to combine voice service, data service and broadband audio-video service by IP protocol to transport various real time and mutual services to terminal users (home). Home Networking is a new kind of network and application technology which can provide various services. Home networking is called as Digital Home Network. It means that PC, home entertainment equipment, home appliances, Home wirings, security, illumination system were communicated with each other by some composing network technology, constitute a networking internal home, and connect with WAN by home gateway. It is a new network technology and application technology, and can provide many kinds of services inside home or between homes. Currently, home networking can be divided into three kinds: Information equipment, Home appliances, Communication equipment. Equipment inside home networking can exchange information with outer networking by home gateway, this information communication is bidirectional, user can get information and service which provided by public networking by using home networking internal equipment through home gateway connecting public network, meantime, also can get information and resource to control the internal equipment which provided by home networking internal equipment. Based on the general network model of home networking, there are four functional entities inside home networking: HA, HB, HC, and HD. (1) HA (Home Access) - home networking connects function entity; (2) HB (Home Bridge) Home networking bridge connects function entity; (3) HC (Home Client) - Home networking client function entity; (4) HD (Home Device) - decoder function entity. There are many physical ways to implement four function entities. Based on theses four functional entities, there are reference model of physical layer, reference model of link layer, reference model of IP layer and application reference model of high layer. In the future home network

  8. Honoring Pioneers in Breast Cancer Research

    MedlinePlus

    ... Home Current Issue Past Issues Honoring Pioneers in Breast Cancer Research Past Issues / Spring 2007 Table of Contents ... the Distinguished Medical Service Award for their pioneering breast cancer research. Photo courtesy of Bill Branson, NIH In ...

  9. Basic Research and Progress against Pediatric Cancer

    Cancer.gov

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

  10. 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.

  11. Honoring Pioneers in Breast Cancer Research

    MedlinePlus

    ... Current Issue Past Issues Honoring Pioneers in Breast Cancer Research Past Issues / Spring 2007 Table of Contents For ... Distinguished Medical Service Award for their pioneering breast cancer research. Photo courtesy of Bill Branson, NIH In this ...

  12. Why Invest in Basic Cancer Research?

    Cancer.gov

    Image Description: An infographic about the importance of basic research for making progress against childhood cancers. The graphic shows the research milestones that led to the development and approval of the pediatric cancer treatment, Unituxin.

  13. Phosphoproteomics and Lung Cancer Research

    PubMed Central

    López, Elena; Cho, William C. S.

    2012-01-01

    Massive evidence suggests that genetic abnormalities contribute to the development of lung cancer. These molecular abnormalities may serve as diagnostic, prognostic and predictive biomarkers for this deadly disease. It is imperative to search these biomarkers in different tumorigenesis pathways so as to provide the most appropriate therapy for each individual patient with lung malignancy. Phosphoproteomics is a promising technology for the identification of biomarkers and novel therapeutic targets for cancer. Thousands of proteins interact via physical and chemical association. Moreover, some proteins can covalently modify other proteins post-translationally. These post-translational modifications ultimately give rise to the emergent functions of cells in sequence, space and time. Phosphoproteomics clinical researches imply the comprehensive analysis of the proteins that are expressed in cells or tissues and can be employed at different stages. In addition, understanding the functions of phosphorylated proteins requires the study of proteomes as linked systems rather than collections of individual protein molecules. In fact, proteomics approaches coupled with affinity chromatography strategies followed by mass spectrometry have been used to elucidate relevant biological questions. This article will discuss the relevant clues of post-translational modifications, phosphorylated proteins, and useful proteomics approaches to identify molecular cancer signatures. The recent progress in phosphoproteomics research in lung cancer will be also discussed. PMID:23202899

  14. What's New in Vulvar Cancer Research and Treatment?

    MedlinePlus

    ... resources for vulvar cancer What`s new in vulvar cancer research and treatment? Research is being done to find ... Your Doctor After Treatment What`s New in Vulvar Cancer Research? Other Resources and References Cancer Information Cancer Basics ...

  15. The productivity of primary care research networks.

    PubMed

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

    2000-11-01

    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

  16. Immune System Network and Cancer Vaccine

    NASA Astrophysics Data System (ADS)

    Bianca, Carlo; Pennisi, Marzio; Motta, Santo; Ragusa, Maria Alessandra

    2011-09-01

    This paper deals with the mathematical modelling of the immune system response to cancer disease, and specifically with the treatment of the mammary carcinoma in presence of an immunoprevenction vaccine. The innate action of the immune system network, the external stimulus represented by repeated vaccine administrations and the competition with cancer are described by an ordinary differential equations-based model. The mathematical model is able to depict preclinical experiments on transgenic mice. The results are of great interest both in the applied and theoretical sciences.

  17. 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).

  18. 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.

  19. 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

  20. 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.

  1. 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.

  2. A Communication Network for Educational Researchers.

    ERIC Educational Resources Information Center

    Pierce, Jean; Cooley, William W.

    1985-01-01

    Discusses application of microcomputer technology to educational research and describes the possible uses of computer networking for communication with colleagues. Focuses on the organization and structure of the Education Research Forum on CompuServe. Considers advantages and costs of networking in general and for the American Educational…

  3. 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.

  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 Cervical Cancer Research and Treatment?

    MedlinePlus

    ... resources for cervical cancer What`s new in cervical cancer research and treatment? New ways to prevent and treat ... Your Doctor After Treatment What`s New in Cervical Cancer Research? Other Resources and References Cancer Information Cancer Basics ...

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

    MedlinePlus

    ... References: Breast cancer detailed guide What`s new in breast cancer research and treatment? Researchers around the world are ... for breast cancer Breast cancer treatment Causes of breast cancer Studies continue to uncover lifestyle factors and habits, ...

  8. NIH Research Leads to Cervical Cancer Vaccine

    MedlinePlus

    ... Issues Sexually Transmitted Diseases NIH Research Leads to Cervical Cancer Vaccine Past Issues / Fall 2008 Table of Contents ... in women, the cause of the majority of cervical cancers. Photo courtesy of Judy Folkenberg, NLM Writer By ...

  9. 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. PMID:25822567

  10. 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

  11. 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.

  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. 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…

  14. 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. PMID:19632811

  15. 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. PMID:16958026

  16. Research of Ad Hoc Networks Access Algorithm

    NASA Astrophysics Data System (ADS)

    Xiang, Ma

    With the continuous development of mobile communication technology, Ad Hoc access network has become a hot research, Ad Hoc access network nodes can be used to expand capacity of multi-hop communication range of mobile communication system, even business adjacent to the community, improve edge data rates. When the ad hoc network is the access network of the internet, the gateway discovery protocol is very important to choose the most appropriate gateway to guarantee the connectivity between ad hoc network and IP based fixed networks. The paper proposes a QoS gateway discovery protocol which uses the time delay and stable route to the gateway selection conditions. And according to the gateway discovery protocol, it also proposes a fast handover scheme which can decrease the handover time and improve the handover efficiency.

  17. A Pan-Cancer Modular Regulatory Network Analysis to Identify Common and Cancer-Specific Network Components

    PubMed Central

    Knaack, Sara A; Siahpirani, Alireza Fotuhi; Roy, Sushmita

    2014-01-01

    Many human diseases including cancer are the result of perturbations to transcriptional regulatory networks that control context-specific expression of genes. A comparative approach across multiple cancer types is a powerful approach to illuminate the common and specific network features of this family of diseases. Recent efforts from The Cancer Genome Atlas (TCGA) have generated large collections of functional genomic data sets for multiple types of cancers. An emerging challenge is to devise computational approaches that systematically compare these genomic data sets across different cancer types that identify common and cancer-specific network components. We present a module- and network-based characterization of transcriptional patterns in six different cancers being studied in TCGA: breast, colon, rectal, kidney, ovarian, and endometrial. Our approach uses a recently developed regulatory network reconstruction algorithm, modular regulatory network learning with per gene information (MERLIN), within a stability selection framework to predict regulators for individual genes and gene modules. Our module-based analysis identifies a common theme of immune system processes in each cancer study, with modules statistically enriched for immune response processes as well as targets of key immune response regulators from the interferon regulatory factor (IRF) and signal transducer and activator of transcription (STAT) families. Comparison of the inferred regulatory networks from each cancer type identified a core regulatory network that included genes involved in chromatin remodeling, cell cycle, and immune response. Regulatory network hubs included genes with known roles in specific cancer types as well as genes with potentially novel roles in different cancer types. Overall, our integrated module and network analysis recapitulated known themes in cancer biology and additionally revealed novel regulatory hubs that suggest a complex interplay of immune response, cell

  18. 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.

  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. 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.

  1. 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.

  2. 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.

  3. 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

  4. Cancer chronicity: new research and policy challenges.

    PubMed

    Berlinger, Nancy; Gusmano, Michael

    2011-04-01

    Cancer centers are organized to serve the needs of patients who can benefit from medical and surgical interventions aimed at curing cancer and preventing recurrence. However, comprehensive cancer care must also encompass the needs of patients with incurable but treatable cancers, some of which can potentially be managed as chronic diseases through outpatient care and self-management. Treating cancer as a chronic disease, and helping patients to live with cancer as a chronic disease, calls for health care that complements services that exist for patients with curable disease, for patients who have completed treatment, and for patients whose disease no longer responds to treatment. Research should focus on the chronic cancer patients to understand how cancer treatment can better serve this growing patient population. PMID:21378064

  5. Online Social Networks - Opportunities for Empowering Cancer Patients.

    PubMed

    Mohammadzadeh, Zeinab; Davoodi, Somayeh; Ghazisaeidi, Marjan

    2016-01-01

    Online social network technologies have become important to health and apply in most health care areas. Particularly in cancer care, because it is a disease which involves many social aspects, online social networks can be very useful. Use of online social networks provides a suitable platform for cancer patients and families to present and share information about their medical conditions, address their educational needs, support decision making, and help to coping with their disease and improve their own outcomes. Like any other new technologies, online social networks, along with many benefits, have some negative effects such as violation of privacy and publication of incorrect information. However, if these effects are managed properly, they can empower patients to manage cancer through changing behavioral patterns and enhancing the quality of cancer patients lives This paper explains some application of online social networks in the cancer patient care process. It also covers advantages and disadvantages of related technologies. PMID:27039815

  6. 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

  7. Status of photonic network research in Korea

    NASA Astrophysics Data System (ADS)

    Won, Yong Hyub

    2004-10-01

    Korea is small country but has recently dramatic growth in broadband internet subscribers. At the present of December in 2003, about 73% of total households are internet subscribers. The country is now pursuing new internet highway with faster speed and broadband services for future intelligent internet. The viable research targets are the switching technologies, the access network and convergence network technologies. The optical burst switching will be discussed as the intermediate solution before the coming sophisticated optical packet switching technologies. Another important issue is how we accept diverse service types in future network. There are always dilemmas to choose "optical" or "electrical" for the network in both cost and technology views. The WDM PON-based FTTH and the broadband convergence network (BcN) plans in Korea will also be discussed.

  8. Alleanza Contro il Cancro: the accreditation system of the Excellence Network of Italian Cancer Centers in the precision medicine era.

    PubMed

    Palombo, Fabio; De Paoli, Paolo; De Maria, Ruggero

    2015-01-01

    Alleanza Contro il Cancro (Alliance Against Cancer (ACC)) is a network of excellence comprising cancer centers with high standard patient care and research supervised by the Italian Ministry of Health. Founded in 2002, ACC has recently entered a renovation process in order to further increase quality procedures and international standing of the network. The Organization of European Cancer Institutes (OECI) accreditation system contributes significantly to this renovation process, which is generally directed towards all the main activities of cancer care and research, but has a particular attention to the treatment of advanced cancers that cannot be cured by standard procedures in conventional hospitals. PMID:27096277

  9. 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

  10. Advanced Scientific Computing Research Network Requirements

    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.

  11. Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network

    PubMed Central

    Steiner, John F.; Paolino, Andrea R.; Thompson, Ella E.; Larson, Eric B.

    2014-01-01

    Purpose: As multi-institutional research networks assume a central role in clinical research, they must address the challenge of sustainability. Despite its importance, the concept of network sustainability has received little attention in the literature, and the sustainability strategies of durable scientific networks have not been described. Innovation: The Health Maintenance Organization Research Network (HMORN) is a consortium of 18 research departments in integrated health care delivery systems with over 15 million members in the United States and Israel. The HMORN has coordinated federally funded scientific networks and studies since 1994. This case study describes the HMORN approach to sustainability, proposes an operational definition of network sustainability, and identifies 10 essential elements that can enhance sustainability. Credibility: The sustainability framework proposed here is drawn from prior publications on organizational issues by HMORN investigators and from the experience of recent HMORN leaders and senior staff. Conclusion and Discussion: Network sustainability can be defined as (1) the development and enhancement of shared research assets to facilitate a sequence of research studies in a specific content area or multiple areas, and (2) a community of researchers and other stakeholders who reuse and develop those assets. Essential elements needed to develop the shared assets of a network include: network governance; trustworthy data and processes for sharing data; shared knowledge about research tools; administrative efficiency; physical infrastructure; and infrastructure funding. The community of researchers within a network is enhanced by: a clearly defined mission, vision and values; protection of human subjects; a culture of collaboration; and strong relationships with host organizations. While the importance of these elements varies based on the membership and goals of a network, this framework for sustainability can enhance strategic

  12. Network modeling links breast cancer susceptibility and centrosome dysfunction.

    PubMed

    Pujana, Miguel Angel; Han, Jing-Dong J; Starita, Lea M; Stevens, Kristen N; Tewari, Muneesh; Ahn, Jin Sook; Rennert, Gad; Moreno, Víctor; Kirchhoff, Tomas; Gold, Bert; Assmann, Volker; Elshamy, Wael M; Rual, Jean-François; Levine, Douglas; Rozek, Laura S; Gelman, Rebecca S; Gunsalus, Kristin C; Greenberg, Roger A; Sobhian, Bijan; Bertin, Nicolas; Venkatesan, Kavitha; Ayivi-Guedehoussou, Nono; Solé, Xavier; Hernández, Pilar; Lázaro, Conxi; Nathanson, Katherine L; Weber, Barbara L; Cusick, Michael E; Hill, David E; Offit, Kenneth; Livingston, David M; Gruber, Stephen B; Parvin, Jeffrey D; Vidal, Marc

    2007-11-01

    Many cancer-associated genes remain to be identified to clarify the underlying molecular mechanisms of cancer susceptibility and progression. Better understanding is also required of how mutations in cancer genes affect their products in the context of complex cellular networks. Here we have used a network modeling strategy to identify genes potentially associated with higher risk of breast cancer. Starting with four known genes encoding tumor suppressors of breast cancer, we combined gene expression profiling with functional genomic and proteomic (or 'omic') data from various species to generate a network containing 118 genes linked by 866 potential functional associations. This network shows higher connectivity than expected by chance, suggesting that its components function in biologically related pathways. One of the components of the network is HMMR, encoding a centrosome subunit, for which we demonstrate previously unknown functional associations with the breast cancer-associated gene BRCA1. Two case-control studies of incident breast cancer indicate that the HMMR locus is associated with higher risk of breast cancer in humans. Our network modeling strategy should be useful for the discovery of additional cancer-associated genes. PMID:17922014

  13. Proteogenomic convergence for understanding cancer pathways and networks.

    PubMed

    Boja, Emily S; Rodriguez, Henry

    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) target

  14. 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

  15. Patterns of collaboration in complex networks: the example of a translational research network

    PubMed Central

    2014-01-01

    Background This paper examines collaboration in a complex translational cancer research network (TRN) made up of a range of hospital-based clinicians and university-based researchers. We examine the phenomenon of close-knit and often introspective clusters of people (silos) and test the extent that factors associated with this clustering (geography, profession and past experience) influence patterns of current and future collaboration on TRN projects. Understanding more of these patterns, especially the gaps or barriers between members, will help network leaders to manage subgroups and promote connectivity crucial to efficient network function. Methods An on-line, whole network survey was used to collect attribute and relationship data from all members of the new TRN based in New South Wales, Australia in early 2012. The 68 members were drawn from six separate hospital and university campuses. Social network analysis with UCInet tested the effects of geographic proximity, profession, past research experience, strength of ties and previous collaborations on past, present and future intended partnering. Results Geographic proximity and past working relationships both had significant effects on the choice of current collaboration partners. Future intended collaborations included a significant number of weak ties and ties based on other members’ reputations implying that the TRN has provided new opportunities for partnership. Professional grouping, a significant barrier discussed in the translational research literature, influenced past collaborations but not current or future collaborations, possibly through the mediation of network brokers. Conclusions Since geographic proximity is important in the choice of collaborators a dispersed network such as this could consider enhancing cross site interactions by improving virtual communication technology and use, increasing social interactions apart from project related work, and maximising opportunities to meet members

  16. PS1-23: Capitalizing on the HMO Cancer Research Network (CRN): The Optimal Setting to Conduct Studies of Rare Complex Diseases

    PubMed Central

    Johnson, Christine Cole; Chao, Chun; Engel, Larry; Feigelson, Heather; Fortuny, Joan; Habel, Laurel; Koshiol, Jill; Roblin, Douglas; Spangler, Leslie; Wells, Karen; Yood, Marianne Ulcickas

    2013-01-01

    Background/Aims Rare cancers are challenging to study, both epidemiologically and clinically, as it is difficult to ascertain enough cases to achieve adequate statistical power or to be representative of a vast range of exposures. Further, as the complexity of unraveling the natural history of disease has increased, a large investigator team with diverse expertise is required to optimize the scientific contributions that can be mined from research projects. The HMOCRN provides a setting that can overcome these barriers. Although many studies evaluate all lymphomas combined, lymphoma consists of over 50 rare histological subtypes with varying incidence and survival rates and epidemiological features. Ideally, each histological subtype should be considered separately in etiological studies, but even the most common, diffuse large B cell lymphoma, has a SEER incidence of only 7.5 per 100,000 in men and 5.0 per 100,000 in women. Other lymphoma types range in incidence from <0.1 cases per 100,000 for NKT cell lymphoma to 2.8 per 100,000 for Hodgkin’s Disease in all race-sex groups combined, to the highest rate found for a population subgroup, only 8.8 per 100,000 for multiple myeloma in African American men. Methods We have assembled a multi-disciplinary team interested in lymphoma and pharmacoepidemiology that includes investigators with clinical, epidemiological and biostatistical expertise from six HMORN sites, two US universities, the NCI, and an international investigator who first initiated the project. Results Combining data from these HMOCRN sites from 1998–2008, we ascertained 1479 Hodgkin’s Disease cases, 3385 multiple myelomas, 771 T-cell lymphomas, (including 390 mycosis fungoides cases and 158 mature T-cell lymphomas), 3000 chronic lymphocytic leukemias, 1357 mature B cell lymphomas, 3883 diffuse large B cell lymphomas, 2188 follicular lymphomas, and 992 marginal zone B cell lymphomas. Conclusions These numbers provide a unique opportunity to analyze

  17. Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer.

    PubMed

    Xu, Haoming; Moni, Mohammad Ali; Liò, Pietro

    2015-12-01

    In cancer genomics, gene expression levels provide important molecular signatures for all types of cancer, and this could be very useful for predicting the survival of cancer patients. However, the main challenge of gene expression data analysis is high dimensionality, and microarray is characterised by few number of samples with large number of genes. To overcome this problem, a variety of penalised Cox proportional hazard models have been proposed. We introduce a novel network regularised Cox proportional hazard model and a novel multiplex network model to measure the disease comorbidities and to predict survival of the cancer patient. Our methods are applied to analyse seven microarray cancer gene expression datasets: breast cancer, ovarian cancer, lung cancer, liver cancer, renal cancer and osteosarcoma. Firstly, we applied a principal component analysis to reduce the dimensionality of original gene expression data. Secondly, we applied a network regularised Cox regression model on the reduced gene expression datasets. By using normalised mutual information method and multiplex network model, we predict the comorbidities for the liver cancer based on the integration of diverse set of omics and clinical data, and we find the diseasome associations (disease-gene association) among different cancers based on the identified common significant genes. Finally, we evaluated the precision of the approach with respect to the accuracy of survival prediction using ROC curves. We report that colon cancer, liver cancer and renal cancer share the CXCL5 gene, and breast cancer, ovarian cancer and renal cancer share the CCND2 gene. Our methods are useful to predict survival of the patient and disease comorbidities more accurately and helpful for improvement of the care of patients with comorbidity. Software in Matlab and R is available on our GitHub page: https://github.com/ssnhcom/NetworkRegularisedCox.git. PMID:26611766

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Topic Additional resources for melanoma skin cancer What’s new in melanoma skin cancer research? Research into the ... Melanoma Talking With Your Doctor After Treatment What`s New in Skin Cancer - Melanoma Research? Other Resources and ...

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

    MedlinePlus

    ... Next Topic References: Thyroid cancer detailed guide 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 ...

  1. 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

  2. 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. PMID:24187127

  3. 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

  4. Comparative analysis of differential network modularity in tissue specific normal and cancer protein interaction networks

    PubMed Central

    2013-01-01

    Background Large scale understanding of complex and dynamic alterations in cellular and subcellular levels during cancer in contrast to normal condition has facilitated the emergence of sophisticated systemic approaches like network biology in recent times. As most biological networks show modular properties, the analysis of differential modularity between normal and cancer protein interaction networks can be a good way to understand cancer more significantly. Two aspects of biological network modularity e.g. detection of molecular complexes (potential modules or clusters) and identification of crucial nodes forming the overlapping modules have been considered in this regard. Methods In the current study, the computational analysis of previously published protein interaction networks (PINs) has been conducted to identify the molecular complexes and crucial nodes of the networks. Protein molecules involved in ten major cancer signal transduction pathways were used to construct the networks based on expression data of five tissues e.g. bone, breast, colon, kidney and liver in both normal and cancer conditions. MCODE (molecular complex detection) and ModuLand methods have been used to identify the molecular complexes and crucial nodes of the networks respectively. Results In case of all tissues, cancer PINs show higher level of clustering (formation of molecular complexes) than the normal ones. In contrast, lower level modular overlapping is found in cancer PINs than the normal ones. Thus a proposition can be made regarding the formation of some giant nodes in the cancer networks with very high degree and resulting in reduced overlapping among the network modules though the predicted molecular complex numbers are higher in cancer conditions. Conclusion The study predicts some major molecular complexes that might act as the important regulators in cancer progression. The crucial nodes identified in this study can be potential drug targets to combat cancer. PMID

  5. Cancer talk on twitter: community structure and information sources in breast and prostate cancer social networks.

    PubMed

    Himelboim, Itai; Han, Jeong Yeob

    2014-01-01

    This study suggests taking a social networks theoretical approach to predict and explain patterns of information exchange among Twitter prostate and breast cancer communities. The authors collected profiles and following relationship data about users who posted messages about either cancer over 1 composite week. Using social network analysis, the authors identified the main clusters of interconnected users and their most followed hubs (i.e., information sources sought). Findings suggest that users who populated the persistent-across-time core cancer communities created dense clusters, an indication of taking advantage of the technology to form relationships with one another in ways that traditional one-to-many communication technologies cannot support. The major information sources sought were very specific to the community health interest and were grassroots oriented (e.g., a blog about prostate cancer treatments). Accounts associated with health organizations and news media, despite their focus on health, did not play a role in these core health communities. Methodological and practical implications for researchers and health campaigners are discussed. PMID:24111482

  6. 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. PMID:26868355

  7. 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

  8. 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.

  9. 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.

  10. 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. PMID:25730725

  11. NIH Research Leads to Cervical Cancer Vaccine

    MedlinePlus

    Skip Navigation Bar Home Current Issue Past Issues Sexually Transmitted Diseases NIH Research Leads to Cervical Cancer Vaccine Past ... gov . What's New Community-wide treatment of ... of Allergy and Infectious Diseases (NIAID). The study was conducted in a rural ...

  12. 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.

  13. 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

  14. 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. PMID:25983539

  15. 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

  16. 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…

  17. Conceptualizing and Advancing Research Networking Systems.

    PubMed

    Schleyer, Titus; Butler, Brian S; Song, Mei; Spallek, Heiko

    2012-03-01

    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

  18. 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

  19. Artificial Neural Network Analysis in Preclinical Breast Cancer

    PubMed Central

    Motalleb, Gholamreza

    2014-01-01

    Objective: In this study, artificial neural network (ANN) analysis of virotherapy in preclinical breast cancer was investigated. Materials and Methods: In this research article, a multilayer feed-forward neural network trained with an error back-propagation algorithm was incorporated in order to develop a predictive model. The input parameters of the model were virus dose, week and tamoxifen citrate, while tumor weight was included in the output parameter. Two different training algorithms, namely quick propagation (QP) and Levenberg-Marquardt (LM), were used to train ANN. Results: The results showed that the LM algorithm, with 3-9-1 arrangement is more efficient compared to QP. Using LM algorithm, the coefficient of determination (R2) between the actual and predicted values was determined as 0.897118 for all data. Conclusion: It can be concluded that this ANN model may provide good ability to predict the biometry information of tumor in preclinical breast cancer virotherapy. The results showed that the LM algorithm employed by Neural Power software gave the better performance compared with the QP and virus dose, and it is more important factor compared to tamoxifen and time (week). PMID:24381857

  20. 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

  1. Advances in cancer research. Volume 41

    SciTech Connect

    Klein, G.; Weinhouse, S.

    1984-01-01

    This book contains seven chapters. They are: The Epidemiology of Diet and Cancer; Molecular Aspects of Immunoglobin Expression by Human B Cell Leukemias and Lymphomas; Mouse Mammary Tumor Virus: Transcriptional Control and Involvement in Tumorigenesis; Dominant Susceptibility to Cancer in Man; Multiple Myeloma; Waldenstreom's Macroglobulinemia, and Benign Monoclonal Gammopathy: Characteristics of the B Cell Clone, Immunoregulatory Cell Populations and Clinical Implications; Idiotype Network Interactions in Tumor Immunity; and Chromosomal Location of Immunoglobulin Genes: Partial Mapping of these Genes in the Rabbit and Comparison with Ig Genes Carrying Chromosomes of Man and Mouse.

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

    PubMed

    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

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

  8. 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.

  9. 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.

  10. Recruiting young adult cancer survivors for behavioral research.

    PubMed

    Rabin, Carolyn; Horowitz, Santina; Marcus, Bess

    2013-03-01

    Young adults have been dramatically underrepresented in cancer survivorship research. One contributing factor is the difficulty recruiting this population. To identify effective recruitment strategies, the current study assessed the yield of strategies used to recruit young survivors for an exercise intervention including: clinic-based recruitment, recruitment at cancer-related events, mailings, telephone-based recruitment, advertising on the internet, radio, television and social networking media, distributing brochures and word-of-mouth referrals. When taking into account the strategies for which we could track the number of survivors approached, recruitment at an oncology clinic was the most productive: 38 % of those approached were screened and 8 % enrolled. When evaluating which strategy yielded the greatest percentage of the sample, however, mailings were the most productive. Given widespread use of the internet and social networking by young adults, investigators should also consider these low-cost recruitment strategies. PMID:22810954

  11. National Research Networks Facilitate Mutually Beneficial Research at ARS Locations

    NASA Astrophysics Data System (ADS)

    Seyfried, M. S.; Holbrook, W. S.; Fellows, A.; Kormos, P.; Lohse, K. A.; Marks, D. G.; Flerchinger, G. N.

    2015-12-01

    A major benefit of participation in research networks such as the Long Term Agroecosystem Research (LTAR) network is that multidisciplinary research on a broad range of topics is facilitated. The interaction between the Agricultural Research Service long-term experimental watersheds and LTAR exemplifies this. At the Reynolds Creek Experimental Watershed (RCEW), this is further enhanced by participation in the Critical Zone Observatory (CZO) network. The RCEW has a long history (55 years) of experimentation, modeling and monitoring emphasizing hydrologic processes, which are inevitably related to biogeochemical processes, but rarely linked directly in RCEW research. New research with the Reynolds Creek CZO (RC CZO) emphasizes biogeochemistry. The background research and infrastructure at the RCEW provides an ideal platform for that research. At the same time, RC CZO products are enabling ARS to extend its research activities. We highlight three examples: (i) forcing data sets used to facilitate physical modeling of hydrologic and biogeochemical processes, (ii) linkage of hydrology and geophyscis to extend our understanding of subsurface processes, and (iii) climate/elevation linkages to ecosystem productivity, which are closely related in water limited environments such as the RCEW. The addition of the RCEW to the LTAR is further extended ARS capabilities. For example, the RCEW is now monitoring net carbon balance and productivity at sites along an elevation/climatic gradient. The addition of LTAR research enhances that work by extending the climate gradient and introducing management and land surface change effects. We anticipate that these interactions will grow and that cross-site experiments will be initiated as the results begin to accumulate.

  12. 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

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

    PubMed

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

    2016-02-01

    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

  14. Diet and cancer: future etiologic research.

    PubMed Central

    Schatzkin, A; Dorgan, J; Swanson, C; Potischman, N

    1995-01-01

    In light of several credible diet and cancer hypotheses, we suggest strategies for advancing our understanding in this area. Two conceptual approaches can be taken in defining dietary exposure: the decompositional approach focuses on specific nutrients and other chemical constituents of food, whereas the integrative approach emphasizes the action of whole foods or food patterns (cuisines). Diet-cancer hypotheses can be organized according to this conceptual framework. We review four types of scientific investigation available to us for advancing the diet and cancer field: metabolic (clinical nutrition) studies; animal studies; observational epidemiologic investigations; and clinical trials. Each of these designs has its strengths and limitations. Observational epidemiologic studies and trials have the particular advantage of examining explicit cancer end points in humans. Results from metabolic and animal research, however, can complement the findings from epidemiologic studies and trials. Finally, we briefly review strategies for evaluating promising hypotheses linking diet to cancers of the large bowel, lung, breast, and prostate. PMID:8741779

  15. 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. |

  16. 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.

  17. Assessing excellence in translational cancer research: a consensus based framework

    PubMed Central

    2013-01-01

    Background It takes several years on average to translate basic research findings into clinical research and eventually deliver patient benefits. An expert-based excellence assessment can help improve this process by: identifying high performing Comprehensive Cancer Centres; best practices in translational cancer research; improving the quality and efficiency of the translational cancer research process. This can help build networks of excellent Centres by aiding focused partnerships. In this paper we report on a consensus building exercise that was undertaken to construct an excellence assessment framework for translational cancer research in Europe. Methods We used mixed methods to reach consensus: a systematic review of existing translational research models critically appraised for suitability in performance assessment of Cancer Centres; a survey among European stakeholders (researchers, clinicians, patient representatives and managers) to score a list of potential excellence criteria, a focus group with selected representatives of survey participants to review and rescore the excellence criteria; an expert group meeting to refine the list; an open validation round with stakeholders and a critical review of the emerging framework by an independent body: a committee formed by the European Academy of Cancer Sciences. Results The resulting excellence assessment framework has 18 criteria categorized in 6 themes. Each criterion has a number of questions/sub-criteria. Stakeholders favoured using qualitative excellence criteria to evaluate the translational research “process” rather than quantitative criteria or judging only the outputs. Examples of criteria include checking if the Centre has mechanisms that can be rated as excellent for: involvement of basic researchers and clinicians in translational research (quality of supervision and incentives provided to clinicians to do a PhD in translational research) and well designed clinical trials based on ground

  18. A mixture of experts network structure for breast cancer diagnosis.

    PubMed

    Ubeyli, Elif Derya

    2005-10-01

    Mixture of experts (ME) is a modular neural network architecture for supervised learning. This paper illustrates the use of ME network structure to guide diagnosing of breast cancer. Expectation-maximization (EM) algorithm was used for training the ME so that the learning process is decoupled in a manner that fits well with the modular structure. Diagnosis tasks are among the most interesting activities in which to implement intelligent systems. Specifically, diagnosis is an attempt to accurately forecast the outcome of a specific situation, using as input information obtained from a concrete set of variables that potentially describe the situation. The ME network structure was implemented for breast cancer diagnosis using the attributes of each record in the Wisconsin breast cancer database. To improve diagnostic accuracy, the outputs of expert networks were combined by a gating network simultaneously trained in order to stochastically select the expert that is performing the best at solving the problem. For the Wisconsin breast cancer diagnosis problem, the obtained total classification accuracy by the ME network structure was 98.85%. The ME network structure achieved accuracy rates which were higher than that of the stand-alone neural network models. PMID:16180491

  19. Cancer Markers Selection Using Network-Based Cox Regression: A Methodological and Computational Practice

    PubMed Central

    Iuliano, Antonella; Occhipinti, Annalisa; Angelini, Claudia; De Feis, Italia; Lió, Pietro

    2016-01-01

    International initiatives such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) are collecting multiple datasets at different genome-scales with the aim of identifying novel cancer biomarkers and predicting survival of patients. To analyze such data, several statistical methods have been applied, among them Cox regression models. Although these models provide a good statistical framework to analyze omic data, there is still a lack of studies that illustrate advantages and drawbacks in integrating biological information and selecting groups of biomarkers. In fact, classical Cox regression algorithms focus on the selection of a single biomarker, without taking into account the strong correlation between genes. Even though network-based Cox regression algorithms overcome such drawbacks, such network-based approaches are less widely used within the life science community. In this article, we aim to provide a clear methodological framework on the use of such approaches in order to turn cancer research results into clinical applications. Therefore, we first discuss the rationale and the practical usage of three recently proposed network-based Cox regression algorithms (i.e., Net-Cox, AdaLnet, and fastcox). Then, we show how to combine existing biological knowledge and available data with such algorithms to identify networks of cancer biomarkers and to estimate survival of patients. Finally, we describe in detail a new permutation-based approach to better validate the significance of the selection in terms of cancer gene signatures and pathway/networks identification. We illustrate the proposed methodology by means of both simulations and real case studies. Overall, the aim of our work is two-fold. Firstly, to show how network-based Cox regression models can be used to integrate biological knowledge (e.g., multi-omics data) for the analysis of survival data. Secondly, to provide a clear methodological and computational approach for

  20. 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. PMID:27165360

  1. 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

  2. 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. |

  3. 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

  4. A comprehensive nuclear receptor network for breast cancer cells.

    PubMed

    Kittler, Ralf; Zhou, Jie; Hua, Sujun; Ma, Lijia; Liu, Yuwen; Pendleton, Elisha; Cheng, Chao; Gerstein, Mark; White, Kevin P

    2013-02-21

    In breast cancer, nuclear receptors (NRs) play a prominent role in governing gene expression, have prognostic utility, and are therapeutic targets. We built a regulatory map for 24 NRs, six chromatin state markers, and 14 breast-cancer-associated transcription factors (TFs) that are expressed in the breast cancer cell line MCF-7. The resulting network reveals a highly interconnected regulatory matrix where extensive crosstalk occurs among NRs and other breast -cancer-associated TFs. We show that large numbers of factors are coordinately bound to highly occupied target regions throughout the genome, and these regions are associated with active chromatin state and hormone-responsive gene expression. This network also provides a framework for stratifying and predicting patient outcomes, and we use it to show that the peroxisome proliferator-activated receptor delta binds to a set of genes also regulated by the retinoic acid receptors and whose expression is associated with poor prognosis in breast cancer. PMID:23375374

  5. 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. |

  6. 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 ...

  7. Breast Cancer Screening Benefits: Research and Controversies.

    PubMed

    Odle, Teresa G

    2016-05-01

    The debate regarding the efficacy of breast cancer screening with mammography has intensified since about 2009, as the literature has reported on benefits, harms, and effectiveness of the technology in breast cancer diagnosis. As a result, women and their referring clinicians have been confused by conflicting reports in medical journals and the media. This article provides an overview of research and methodology used to generate these reports and the effects of contradictory research, screening recommendation changes, and the controversy over mammography efficacy on patients and the public. PMID:27146193

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

    MedlinePlus

    ... Next Topic Additional resources for 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 . ...

  9. 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…

  10. 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. PMID:25263570

  11. 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. PMID:25395057

  12. Artificial neural networks for diagnosis and survival prediction in colon cancer

    PubMed Central

    Ahmed, Farid E

    2005-01-01

    ANNs are nonlinear regression computational devices that have been used for over 45 years in classification and survival prediction in several biomedical systems, including colon cancer. Described in this article is the theory behind the three-layer free forward artificial neural networks with backpropagation error, which is widely used in biomedical fields, and a methodological approach to its application for cancer research, as exemplified by colon cancer. Review of the literature shows that applications of these networks have improved the accuracy of colon cancer classification and survival prediction when compared to other statistical or clinicopathological methods. Accuracy, however, must be exercised when designing, using and publishing biomedical results employing machine-learning devices such as ANNs in worldwide literature in order to enhance confidence in the quality and reliability of reported data. PMID:16083507

  13. Network-based Prediction of Cancer under Genetic Storm

    PubMed Central

    Ay, Ahmet; Gong, Dihong; Kahveci, Tamer

    2014-01-01

    Classification of cancer patients using traditional methods is a challenging task in the medical practice. Owing to rapid advances in microarray technologies, currently expression levels of thousands of genes from individual cancer patients can be measured. The classification of cancer patients by supervised statistical learning algorithms using the gene expression datasets provides an alternative to the traditional methods. Here we present a new network-based supervised classification technique, namely the NBC method. We compare NBC to five traditional classification techniques (support vector machines (SVM), k-nearest neighbor (kNN), naïve Bayes (NB), C4.5, and random forest (RF)) using 50–300 genes selected by five feature selection methods. Our results on five large cancer datasets demonstrate that NBC method outperforms traditional classification techniques. Our analysis suggests that using symmetrical uncertainty (SU) feature selection method with NBC method provides the most accurate classification strategy. Finally, in-depth analysis of the correlation-based co-expression networks chosen by our network-based classifier in different cancer classes shows that there are drastic changes in the network models of different cancer types. PMID:25368507

  14. Institutional shared resources and translational cancer research.

    PubMed

    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

  15. 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

  16. The immune network in thyroid cancer.

    PubMed

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

    2016-06-01

    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

  17. Sparse principal component analysis in cancer research

    PubMed Central

    Hsu, Ying-Lin; Huang, Po-Yu; Chen, Dung-Tsa

    2015-01-01

    A critical challenging component in analyzing high-dimensional data in cancer research is how to reduce the dimension of data and how to extract relevant features. Sparse principal component analysis (PCA) is a powerful statistical tool that could help reduce data dimension and select important variables simultaneously. In this paper, we review several approaches for sparse PCA, including variance maximization (VM), reconstruction error minimization (REM), singular value decomposition (SVD), and probabilistic modeling (PM) approaches. A simulation study is conducted to compare PCA and the sparse PCAs. An example using a published gene signature in a lung cancer dataset is used to illustrate the potential application of sparse PCAs in cancer research. PMID:26719835

  18. 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.

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Next Topic Additional resources for endometrial cancer What`s new in endometrial cancer research and treatment? Molecular pathology ... that caused the endometrial cells to become cancerous. New treatments New drugs, combinations of drugs and targeted ...

  1. 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.

  2. Isotope Cancer Treatment Research at LANL

    ScienceCinema

    Weidner, John; Nortier, Meiring

    2014-06-02

    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.

  3. 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.

  4. 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

  5. Functional and genetic analysis of the colon cancer network

    PubMed Central

    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. PMID:25079297

  6. 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. PMID:25079297

  7. Information Management in Cancer Registries: Evaluating the Needs for Cancer Data Collection and Cancer Research

    PubMed Central

    Zachary, Iris; Boren, Suzanne A; Simoes, Eduardo; Jackson-Thompson, Jeannette; Davis, J Wade; Hicks, Lanis

    2015-01-01

    Cancer registry data collection involves, at a minimum, collecting data on demographics, tumor characteristics, and treatment. A common, identified, and standardized set of data elements is needed to share data quickly and efficiently with consumers of this data. This project highlights the fact that, there is a need to develop common data elements; Surveys were developed for central cancer registries (CCRs) and cancer researchers (CRs) at NCI-designated Cancer Centers, in order to understand data needs. Survey questions were developed based on the project focus, an evaluation of the research registries and database responses, and systematic review of the literature. Questions covered the following topics: 1) Research, 2) Data collection, 3) Database/ repository, 4) Use of data, 5) Additional data items, 6) Data requests, 7) New data fields, and 8) Cancer registry data set. A review of the surveys indicates that all cancer registries’ data are used for public health surveillance, and 96% of the registries indicate the data are also used for research. Data are available online in interactive tables from over 50% of CRs and 87% of CCRs. Some other survey responses indicate that CCR treatment data are not complete for example treatment data, however cancer researchers are interested in treatment variables from CCRs. Cancer registries have many data available for review, but need to examine what data are needed and used by different entities. Cancer Registries can further enhance usage through collaborations and partnerships to connect common interests in the data by making registries visible and accessible. PMID:26392844

  8. Social networks and survival after breast cancer diagnosis

    PubMed Central

    Beasley, Jeannette M.; Newcomb, Polly A.; Trentham-Dietz, Amy; Hampton, John M.; Ceballos, Rachel M.; Titus-Ernstoff, Linda; Egan, Kathleen M.; Holmes, Michelle

    2010-01-01

    Introduction Evidence has been inconsistent regarding the impact of social networks on survival after breast cancer diagnosis. We prospectively examined the relation between components of social integration and survival in a large cohort of breast cancer survivors. Methods Women (N=4,589) diagnosed with invasive breast cancer were recruited from a population-based, multi-center, case-control study. A median of 5.6 years (Interquartile Range 2.7–8.7) after breast cancer diagnosis, women completed a questionnaire on recent post-diagnosis social networks and other lifestyle factors. Social networks were measured using components of the Berkman-Syme Social Networks Index to create a measure of social connectedness. Based on a search of the National Death Index, 552 deaths (146 related to breast cancer) were identified. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazards regression. Results Higher scores on a composite measure of social connectedness as determined by the frequency of contacts with family and friends, attendance of religious services, and participation in community activities was associated with a 15–28% reduced risk of death from any cause (p-trend=0.02). Inverse trends were observed between all-cause mortality and frequency of attendance at religious services (p-trend =0.0001) and hours per week engaged in community activities (p-trend =0.0005). No material associations were identified between social networks and breast cancer-specific mortality. Conclusions Engagement in activities outside the home was associated with lower overall mortality after breast cancer diagnosis. PMID:20652435

  9. 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…

  10. 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

  11. 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. PMID:24486917

  12. Assessing Needs and Assets for Building a Regional Network Infrastructure to Reduce Cancer Related Health Disparities

    PubMed Central

    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.

    2015-01-01

    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 nationwide, 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. PMID:24486917

  13. Privacy Issues of a National Research and Education Network.

    ERIC Educational Resources Information Center

    Katz, James E.; Graveman, Richard F.

    1991-01-01

    Discussion of the right to privacy of communications focuses on privacy expectations within a National Research and Education Network (NREN). Highlights include privacy needs in scientific and education communications; academic and research networks; network security and privacy concerns; protection strategies; and consequences of privacy…

  14. 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

  15. 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.”

  16. Modern International Research Groups: Networks and Infrastructure

    NASA Astrophysics Data System (ADS)

    Katehi, Linda

    2009-05-01

    In a globalized economy, education and research are becoming increasing international in content and context. Academic and research institutions worldwide try to internationalize their programs by setting formal or informal collaborations. An education that is enhanced by international experiences leads to mobility of the science and technology workforce. Existing academic cultures and research structures are at odds with efforts to internationalize education. For the past 20-30 years, the US has recognized the need to improve the abroad experience of our scientists and technologists: however progress has been slow. Despite a number of both federally and privately supported programs, efforts to scale up the numbers of participants have not been satisfactory. The exchange is imbalanced as more foreign scientists and researchers move to the US than the other way around. There are a number of issues that contribute to this imbalance but we could consider the US academic career system, as defined by its policies and practices, as a barrier to internationalizing the early career faculty experience. Strict curricula, pre-tenure policies and financial commitments discourage students, post doctoral fellows and pre-tenure faculty from taking international leaves to participate in research abroad experiences. Specifically, achieving an international experience requires funding that is not provided by the universities. Furthermore, intellectual property requirements and constraints in pre-tenure probationary periods may discourage students and faculty from collaborations with peers across the Atlantic or Pacific or across the American continent. Environments that support early career networking are not available. This presentation will discuss the increasing need for international collaborations and will explore the need for additional programs, more integration, better conditions and improved infrastructures that can encourage and support mobility of scientists. In addition

  17. Application of Metabolomics in Thyroid Cancer Research

    PubMed Central

    Wojakowska, Anna; Chekan, Mykola; Widlak, Piotr; Pietrowska, Monika

    2015-01-01

    Thyroid cancer is the most common endocrine malignancy with four major types distinguished on the basis of histopathological features: papillary, follicular, medullary, and anaplastic. Classification of thyroid cancer is the primary step in the assessment of prognosis and selection of the treatment. However, in some cases, cytological and histological patterns are inconclusive; hence, classification based on histopathology could be supported by molecular biomarkers, including markers identified with the use of high-throughput “omics” techniques. Beside genomics, transcriptomics, and proteomics, metabolomic approach emerges as the most downstream attitude reflecting phenotypic changes and alterations in pathophysiological states of biological systems. Metabolomics using mass spectrometry and magnetic resonance spectroscopy techniques allows qualitative and quantitative profiling of small molecules present in biological systems. This approach can be applied to reveal metabolic differences between different types of thyroid cancer and to identify new potential candidates for molecular biomarkers. In this review, we consider current results concerning application of metabolomics in the field of thyroid cancer research. Recent studies show that metabolomics can provide significant information about the discrimination between different types of thyroid lesions. In the near future, one could expect a further progress in thyroid cancer metabolomics leading to development of molecular markers and improvement of the tumor types classification and diagnosis. PMID:25972898

  18. 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

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ( ...

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

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

    MedlinePlus

    ... Next Topic Additional resources for 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 ...

  3. 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. PMID:24778202

  4. 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…

  5. 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

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

    PubMed

    Ganzinger, Matthias; 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

  7. Seventeenth Annual Interdisciplinary Cancer Research Workshop.

    PubMed

    Párkányi, C; Politzer, P

    1995-06-01

    The Seventeenth Annual Interdisciplinary Cancer Research Workshop was held at the University of New Orleans on March 4, 1994. It was again sponsored by the Cancer Association of Greater New Orleans, a United Way Agency. As all the previous workshops in this highly successful series, it was organized by Peter Politzer (University of New Orleans), with the assistance of Anita H. Buckel (University of New Orleans) and James R. Jeter (Tulane University School of Medicine, New Orleans). The three invited speakers were Robert J. Coffey (Vanderbilt University, Nashville, TN), Suzanne A. W. Fuqua (University of Texas Health Science Center, San Antonio, TX), and Frank M. Torti (Bowman Gray School of Medicine, Wake Forest University, Winston-Salem, NC). A one-hour-discussion period in the afternoon presented ample opportunity for an exchange of ideas and research findings among the speakers and the workshop participants. James R. Jeter served as the moderator of this lively discussion session. PMID:8536220

  8. 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…

  9. 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.  |

  10. Advances in European drought research efforts and related research networks

    NASA Astrophysics Data System (ADS)

    Tallaksen, Lena; van Lanen, Henny

    2010-05-01

    Drought is a complex phenomenon with wide-ranging socio-economic and environmental impacts; still drought research and operational applications like drought monitoring and forecasting, have been lagging behind the development in flood-related research. However, recently several drought research projects and networks have emerged in Europe, partly in response to the occurrence of a series of dry and hot summers in the 21st century, notable the record breaking 2003 event covering large part of central Europe. These events were a strong reminder of Europe's vulnerability to drought and neither were forecasted. Meteorological drought is caused by regional or meso- (synoptic) scale spatial and temporal anomalies in the climatic system, which control the natural short- and long term variability in drought occurrence. However, climate forcing by synoptic scale conditions is not the only cause of drought, also various regional land-surface feedbacks through soil moisture and vegetation, concur to amplify dry weather and high summer temperatures. A deficit in the climatic water balance may affect all components of the hydrological cycle through a reduction in soil moisture, groundwater and surface water and subsequently, reduced water availability. Understanding how a climate water deficiency propagates through the hydrological system and its feedbacks to the atmosphere is crucial to develop drought mitigation and adaptation plans. Moreover, it is the basis for early warning and forecasting of hydrological drought (groundwater and surface water). A review of drought studies from the 20th century suggests that drought in Europe has occurred more frequently in the latter part of the century, partly enhanced by higher temperatures. However, the scientific understanding of the driving forces behind large-scale droughts is incomplete and further complicated by insufficient knowledge about long-term (decadal and millennial) natural variability. Moreover, the role of the physical

  11. A National Network to Advance the Field of Cancer and Female Sexuality

    PubMed Central

    Goldfarb, Shari B.; Abramsohn, Emily; Andersen, Barbara L.; Baron, Shirley R.; Carter, Jeanne; Dickler, Maura; Florendo, Judith; Freeman, Leslie; Githens, Katherine; Kushner, David; Makelarski, Jennifer A.; Yamada, Diane; Lindau, Stacy Tessler

    2013-01-01

    Introduction Understanding sexual health issues in cancer patients is integral to care for the continuously growing cancer survivor population. Aim To create a national network of active clinicians and researchers focusing on the prevention and treatment of sexual problems in woman and girls with cancer. Methods Interdisciplinary teams from the University of Chicago and Memorial Sloan-Kettering Cancer Center jointly developed the mission for a national conference to convene clinicians and researchers in the field of cancer and female sexuality. The invitee list was developed by both institutions and further iterated through suggestions from invitees. The conference agenda focused on three high-priority topics under the guidance of a professional facilitator. Breakout groups were led by attendees recognized by collaborators as experts in those topics. Conference costs were shared by both institutions. Main Outcome Measure Development of Scientific Working Groups (SWGs) Results One hundred two clinicians and researchers were invited to attend the 1st National Conference on Cancer and Female Sexuality. Forty-three individuals from 20 different institutions across 14 states attended, including representation from eight NCI-funded cancer centers. Attendees included PhD researchers (n=19), physicians (n=16), and other health care professionals (n=8). Breakout groups included: 1) Defining Key Life Course Sexuality Issues; 2) Building a Registry; and 3) Implementing Sexual Health Assessment. Breakout group summaries incorporated group consensus on key points and priorities. These generated six SWGs with volunteer leaders to accelerate future research and discovery: 1) Technology-Based Interventions; 2) Basic Science; 3) Clinical Trials; 4) Registries; 5) Measurement; and 6) Secondary Data Analysis. Most attendees volunteered for at least one SWG (n=35), and many volunteered for two (n=21). Conclusion This 1st National Conference demonstrated high motivation and broad

  12. 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)
. PMID:26302272

  13. 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

  14. Recent research in network problems with applications

    NASA Technical Reports Server (NTRS)

    Thompson, G. L.

    1980-01-01

    The capabilities of network codes and their extensions are surveyed in regard to specially structured integer programming problems which are solved by using the solutions of a series of ordinary network problems.

  15. 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.

  16. 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. PMID:19536899

  17. Supportive and Palliative Care Research 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.

  18. Printing Cancer Cells into Intact Microvascular Networks: A Model for Investigating Cancer Cell Dynamics during Angiogenesis

    PubMed Central

    Phamduy, Theresa B.; Sweat, Richard S.; Azimi, Mohammad S.; Burow, Matthew E.; Murfee, Walter L.; Chrisey, Douglas B.

    2016-01-01

    While cancer cell invasion and metastasis is dependent on cancer cell-stroma, cancer cell-blood vessel, and cancer cell-lymphatic vessel interactions, our understanding of these interactions remain largely unknown. A need exists for physiologically-relevant models that more closely mimic the complexity of cancer cell dynamics in a real tissue environment. The objective of this study was to combine laser-based cell printing and tissue culture methods to create a novel ex vivo model in which cancer cell dynamics can be tracked during angiogenesis in an intact microvascular network. Laser direct-write (LDW) was utilized to reproducibly deposit breast cancer cells (MDA-MB-231 and MCF-7) and fibroblasts into spatially-defined patterns on cultured rat mesenteric tissues. In addition, heterogeneous patterns containing co-printed MDA-MB-231/fibroblasts or MDA-MB-231/MCF-7 cells were generated for fibroblast-directed and collective cell invasion models. Printed cells remained viable and the cells retained the ability to proliferate in serum-rich media conditions. Over a culture period of five days, time-lapse imaging confirmed fibroblast and MDA-MB-231 cell migration within the microvascular networks. Confocal microscopy indicated that printed MDA-MB-231 cells infiltrated the tissue thickness and were capable of interacting with endothelial cells. Angiogenic network growth in tissue areas containing printed cancer cells was characterized by significantly increased capillary sprouting compared to control tissue areas containing no printed cells. Our results establish an innovative ex vivo experimental platform that enables time-lapse evaluation of cancer cell dynamics during angiogenesis within a real microvascular network scenario. PMID:26190039

  19. 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

  20. Pattern Discovery in Breast Cancer Specific Protein Interaction Network

    PubMed Central

    Wu, Xiaogang; Harrison, Scott H.; Chen, Jake Yue

    2009-01-01

    The interest in indentifying novel biomarkers for early stage breast cancer (BRCA) detection has become grown significantly in recent years. From a view of network biology, one of the emerging themes today is to re-characterize a protein’s biological functions in its molecular network. Although many methods have been presented, including network-based gene ranking for molecular biomarker discovery, and graph clustering for functional module discovery, it is still hard to find systems-level properties hidden in disease specific molecular networks. We reconstructed BRCA-related protein interaction network by using BRCA-associated genes/proteins as seeds, and expanding them in an integrated protein interaction database. We further developed a computational framework based on Ant Colony Optimization to rank network nodes. The task of ranking nodes is represented as the problem of finding optimal density distributions of “ant colonies” on all nodes of the network. Our results revealed some interesting systems-level pattern in BRCA-related protein interaction network. PMID:21347162

  1. A new strategy for exploring the hierarchical structure of cancers by adaptively partitioning functional modules from gene expression network

    PubMed Central

    Xu, Junmei; Jing, Runyu; Liu, Yuan; Dong, Yongcheng; Wen, Zhining; Li, Menglong

    2016-01-01

    The interactions among the genes within a disease are helpful for better understanding the hierarchical structure of the complex biological system of it. Most of the current methodologies need the information of known interactions between genes or proteins to create the network connections. However, these methods meet the limitations in clinical cancer researches because different cancers not only share the common interactions among the genes but also own their specific interactions distinguished from each other. Moreover, it is still difficult to decide the boundaries of the sub-networks. Therefore, we proposed a strategy to construct a gene network by using the sparse inverse covariance matrix of gene expression data, and divide it into a series of functional modules by an adaptive partition algorithm. The strategy was validated by using the microarray data of three cancers and the RNA-sequencing data of glioblastoma. The different modules in the network exhibited specific functions in cancers progression. Moreover, based on the gene expression profiles in the modules, the risk of death was well predicted in the clustering analysis and the binary classification, indicating that our strategy can be benefit for investigating the cancer mechanisms and promoting the clinical applications of network-based methodologies in cancer researches. PMID:27349736

  2. Constrained inference of protein interaction networks for invadopodium formation in cancer

    PubMed Central

    Wang, Haizhou; Leung, Ming; Wandinger-Ness, Angela; Hudson, Laurie G.; Song, Mingzhou

    2016-01-01

    Integrating prior molecular network knowledge into interpretation of new experimental data is routine practice in biology research. However, a dilemma for deciphering interactome using Bayes’ rule is the demotion of novel interactions with low prior probabilities. Here we present constrained generalized logical network (CGLN) inference to predict novel interactions in dynamic networks, respecting previously known interactions and observed temporal coherence. It encodes prior interactions as probabilistic logic rules called local constraints, and forms global constraints using observed dynamic patterns. CGLN finds constraint-satisfying trajectories by solving a k-stops problem in the state space of dynamic networks and then reconstructs candidate networks. We benchmarked CGLN on randomly generated networks, and CGLN outperformed its alternatives when 50% or more interactions in a network are given as local constraints. CGLN is then applied to infer dynamic protein interaction networks regulating invadopodium formation in motile cancer cells. CGLN predicted 134 novel protein interactions for their involvement in invadopodium formation. The most frequently predicted interactions center around focal adhesion kinase (FAK) and tyrosine kinase substrate TKS4, and 14 interactions are supported by literature in molecular contexts related to invadopodium formation. As an alternative to the Bayesian paradigm, the CGLN method offers constrained network inference without requiring prior probabilities and thus can promote novel interactions, consistent with the discovery process of scientific facts that are not yet in common beliefs. PMID:26997662

  3. Constrained inference of protein interaction networks for invadopodium formation in cancer.

    PubMed

    Wang, Haizhou; Leung, Ming; Wandinger-Ness, Angela; Hudson, Laurie G; Song, Mingzhou

    2016-04-01

    Integrating prior molecular network knowledge into interpretation of new experimental data is routine practice in biology research. However, a dilemma for deciphering interactome using Bayes' rule is the demotion of novel interactions with low prior probabilities. Here the authors present constrained generalised logical network (CGLN) inference to predict novel interactions in dynamic networks, respecting previously known interactions and observed temporal coherence. It encodes prior interactions as probabilistic logic rules called local constraints, and forms global constraints using observed dynamic patterns. CGLN finds constraint-satisfying trajectories by solving a k-stops problem in the state space of dynamic networks and then reconstructs candidate networks. They benchmarked CGLN on randomly generated networks, and CGLN outperformed its alternatives when 50% or more interactions in a network are given as local constraints. CGLN is then applied to infer dynamic protein interaction networks regulating invadopodium formation in motile cancer cells. CGLN predicted 134 novel protein interactions for their involvement in invadopodium formation. The most frequently predicted interactions centre around focal adhesion kinase and tyrosine kinase substrate TKS4, and 14 interactions are supported by the literature in molecular contexts related to invadopodium formation. As an alternative to the Bayesian paradigm, the CGLN method offers constrained network inference without requiring prior probabilities and thus can promote novel interactions, consistent with the discovery process of scientific facts that are not yet in common beliefs. PMID:26997662

  4. Evolution and Controllability of Cancer Networks: A Boolean Perspective.

    PubMed

    Srihari, Sriganesh; Raman, Venkatesh; Leong, Hon Wai; Ragan, Mark A

    2014-01-01

    Cancer forms a robust system capable of maintaining stable functioning (cell sustenance and proliferation) despite perturbations. Cancer progresses as stages over time typically with increasing aggressiveness and worsening prognosis. Characterizing these stages and identifying the genes driving transitions between them is critical to understand cancer progression and to develop effective anti-cancer therapies. In this work, we propose a novel model for the `cancer system' as a Boolean state space in which a Boolean network, built from protein-interaction and gene-expression data from different stages of cancer, transits between Boolean satisfiability states by "editing" interactions and "flipping" genes. Edits reflect rewiring of the PPI network while flipping of genes reflect activation or silencing of genes between stages. We formulate a minimization problem min flip to identify these genes driving the transitions. The application of our model (called BoolSpace) on three case studies-pancreatic and breast tumours in human and post spinal-cord injury (SCI) in rats-reveals valuable insights into the phenomenon of cancer progression: (i) interactions involved in core cell-cycle and DNA-damage repair pathways are significantly rewired in tumours, indicating significant impact to key genome-stabilizing mechanisms; (ii) several of the genes flipped are serine/threonine kinases which act as biological switches, reflecting cellular switching mechanisms between stages; and (iii) different sets of genes are flipped during the initial and final stages indicating a pattern to tumour progression. Based on these results, we hypothesize that robustness of cancer partly stems from "passing of the baton" between genes at different stages-genes from different biological processes and/or cellular components are involved in different stages of tumour progression thereby allowing tumour cells to evade targeted therapy, and therefore an effective therapy should target a "cover set" of

  5. Adherence to the World Cancer Research Fund/American Institute for Cancer Research recommendations and breast cancer risk.

    PubMed

    Harris, Holly R; Bergkvist, Leif; Wolk, Alicja

    2016-06-01

    The World Cancer Research Fund/American Association for Cancer Research (WCRF/AICR) has published eight nutrition-related recommendations for the prevention of cancer. However, few prospective studies have examined these recommendations by breast cancer hormone receptor subtype and only one case-control study has included the dietary supplements recommendation in their evaluation. We investigated whether adherence to the WCRF/AICR cancer prevention recommendations was associated with breast cancer incidence, overall and by hormone receptor subtype, in the Swedish Mammography Cohort. Among 31,514 primarily postmenopausal women diet and lifestyle factors were assessed with a self-administered food frequency questionnaire. A score was constructed based on adherence to the recommendations for body fatness, physical activity, energy density, plant foods, animal foods, alcoholic drinks and dietary supplements (score range 0-7). Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs). During 15 years of follow-up 1,388 cases of breast cancer were identified. Women who met six to seven recommendations had a 51% decreased risk of breast cancer compared to women meeting only zero to two recommendations (95% CI = 0.35-0.70). The association between each additional recommendation met and breast cancer risk was strongest for the ER-positive/PR-positive subtype (HR = 0.86; 95% CI = 0.79-0.94), while for the ER-negative/PR-negative subtype the individual recommendations regarding plant and animal foods were most strongly associated with reduced risk. Our findings support that adherence to the WCRF/AICR recommendations reduces breast cancer risk in a population of primarily postmenopausal women. Promoting these recommendations to the public could help reduce breast cancer incidence. PMID:26804371

  6. [Experience of stroke prevention-Enlightenment for cancer research].

    PubMed

    You, Weicheng

    2015-08-01

    Cancer, stroke and heart diseases are most common causes of death. This paper summarized the experience of stroke prevention, which is an enlightenment for cancer research. In addition, this paper also described the progress of cancer epidemiological research, particular the primary and second preventions in China. PMID:26733022

  7. 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. |

  8. 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.

  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.; 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.

  10. 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. |