WorldWideScience

Sample records for cancer research network

  1. Differential network analysis in human cancer research.

    Science.gov (United States)

    Gill, Ryan; Datta, Somnath; Datta, Susmita

    2014-01-01

    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.

  2. Network for Translational Research - Cancer Imaging Program

    Science.gov (United States)

    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.

  3. Bladder Cancer Advocacy Network

    Science.gov (United States)

    ... future bladder cancer research through the Patient Survey Network. Read More... The JPB Foundation 2016 Bladder Cancer ... 2016 Young Investigator Awardees The Bladder Cancer Advocacy Network (BCAN) has announced the recipients of the 2016 ...

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

    Science.gov (United States)

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

    2017-03-01

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

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

    Directory of Open Access Journals (Sweden)

    Junyi Li

    2016-01-01

    Full Text Available 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.

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

    Science.gov (United States)

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

    2015-11-14

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

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

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

    2012-01-01

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

  9. A cloud-based data network approach for translational cancer research.

    Science.gov (United States)

    Xing, Wei; Tsoumakos, Dimitrios; Ghanem, Moustafa

    2015-01-01

    We develop a new model and associated technology for constructing and managing self-organizing data to support translational cancer research studies. We employ a semantic content network approach to address the challenges of managing cancer research data. Such data is heterogeneous, large, decentralized, growing and continually being updated. Moreover, the data originates from different information sources that may be partially overlapping, creating redundancies as well as contradictions and inconsistencies. Building on the advantages of elasticity of cloud computing, we deploy the cancer data networks on top of the CELAR Cloud platform to enable more effective processing and analysis of Big cancer data.

  10. History of the Rare Cancer Network and past research

    Directory of Open Access Journals (Sweden)

    René-Olivier Mirimanoff

    2014-08-01

    Full Text Available Approximately, twenty years ago, the Rare Cancer Network (RCN was formed in Lausanne, Switzerland, to support the study of rare malignancies. The RCN has grown over the years and now includes 130 investigators from twenty-four nations on six continents. The network held its first international symposium in Nice, France, on March 21-22, 2014. The proceedings of that meeting are presented in two companion papers. This manuscript reviews the history of the growth of the RCN and contains the abstracts of fourteen oral presentations made at the meeting of prior RCN studies. From 1993 to 2014, 74 RCN studies have been initiated, of which 54 were completed, 10 are in progress or under analysis, and 9 were stopped due to poor accrual. Forty-four peer reviewed publications have been written on behalf of the RCN.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    He, Shan; Ganzinger, Matthias; Knaup, Petra

    2012-01-01

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

  13. The Cervix Cancer Research Network (CCRN: Increasing access to cancer clinical trials in low- and middle-income countries

    Directory of Open Access Journals (Sweden)

    Gita eSuneja

    2015-02-01

    Full Text Available 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 (GCIG, 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 10 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.

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

    Science.gov (United States)

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

    2014-07-24

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

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

    Science.gov (United States)

    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.

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

    OpenAIRE

    Long, Janet C; 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 th...

  17. The network researchers' network

    DEFF Research Database (Denmark)

    Henneberg, Stephan C.; Jiang, Zhizhong; Naudé, Peter;

    2009-01-01

    The Industrial Marketing and Purchasing (IMP) Group is a network of academic researchers working in the area of business-to-business marketing. The group meets every year to discuss and exchange ideas, with a conference having been held every year since 1984 (there was no meeting in 1987...... components in some detail. The egonets of three of the original 'founding fathers' are examined in detail, and we draw comparisons as to how their publishing strategies vary. Finally, the paper draws some more general conclusions as to the insights that SNA can bring to those working within business-to-business...... marketing....

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

    Science.gov (United States)

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

  19. Types of Cancer Research

    Science.gov (United States)

    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.

  20. A research about breast cancer detection using different neural networks and K-MICA algorithm.

    Science.gov (United States)

    Kalteh, A A; Zarbakhsh, Payam; Jirabadi, Meysam; Addeh, Jalil

    2013-01-01

    Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA) and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC) database and the simulation results show that the recommended system has high accuracy.

  1. A research about breast cancer detection using different neural networks and K-MICA algorithm

    Directory of Open Access Journals (Sweden)

    A A Kalteh

    2013-01-01

    Full Text Available Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC database and the simulation results show that the recommended system has high accuracy.

  2. Breast Cancer Research Update

    Science.gov (United States)

    ... JavaScript on. Feature: Breast Cancer Breast Cancer Research Update Winter 2017 Table of Contents National Cancer Institute ... Addressing Breast Cancer's Unequal Burden / Breast Cancer Research Update Winter 2017 Issue: Volume 11 Number 4 Page ...

  3. Research in Danish cancer rehabilitation

    DEFF Research Database (Denmark)

    Høybye, Mette Terp; Dalton, Susanne Oksbjerg; Christensen, Jane

    2008-01-01

    of the cancer survivors with respect to cancer site, sociodemographic variables, social network, lifestyle, self-rated health and the prevalence of cancer-related late effects. The study is part of the FOCARE research project, in which the long-term effects of the rehabilitation programme are evaluated...

  4. [Network Research on Human Papillomavirus].

    Science.gov (United States)

    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.

  5. Prostate Cancer Pathology Resource Network

    Science.gov (United States)

    2015-12-01

    disease. The Network combines considerable expertise in multi-disciplinary tissue- based PCa research, excellence in PCa histopathology and molecular ... Memorial Sloan Kettering and University of Washington that successfully collaborated on a PCBN competitive renewal application. 15. SUBJECT TERMS... Memorial Sloan-Kettering Cancer Center (MSKCC: PI Anuradha Gopalan, MD, Co-PI Howard Scher, MD). These 2 Network Sites were chosen deliberately to add

  6. Network systems biology for targeted cancer therapies

    Institute of Scientific and Technical Information of China (English)

    Ting-Ting Zhou

    2012-01-01

    The era of targeted cancer therapies has arrived.However,due to the complexity of biological systems,the current progress is far from enough.From biological network modeling to structural/dynamic network analysis,network systems biology provides unique insight into the potential mechanisms underlying the growth and progression of cancer cells.It has also introduced great changes into the research paradigm of cancer-associated drug discovery and drug resistance.

  7. Breast Cancer and the Environment Research Program

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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.

  9. TCGA researchers identify 4 subtypes of stomach cancer

    Science.gov (United States)

    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

  10. Chinese Ecosystem Research Network

    Institute of Scientific and Technical Information of China (English)

    Huang Tieqing; Liu Jian; Chen Panqin; Fu Bojie

    2002-01-01

    The article analyzes the development of the Chinese Ecosystem Research Network, and its mission, mandate, and management mechanisms, with examples of research, demonstration and consultation for policy-setting.

  11. Operational Research and Networks

    CERN Document Server

    Finke, Gerd

    2008-01-01

    This book presents the principal concepts of operations research (OR) as tools for the planning, support, and management of various types of networks, including both physical and logical networks. It analyzes real problems, and offers a collection of models for many application areas, together with the corresponding solution techniques. Following this, important application areas are addressed, such as project scheduling, distribution networks, telecommunication networks, and planning of satellite imaging. Anyone involved in the theory or practice in this field will find this a vital resource.

  12. Introduction: Cancer Gene Networks.

    Science.gov (United States)

    Clarke, Robert

    2017-01-01

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

  13. EHRA research network surveys

    DEFF Research Database (Denmark)

    Bongiorni, Maria Grazia; Chen, Jian; Dagres, Nikolaos;

    2015-01-01

    of surveys covering the controversial issues in clinical electrophysiology (EP). With this in mind, an EHRA EP research network has been created, which included EP centres in Europe among which the surveys on 'hot topic' were circulated. This review summarizes the overall experience conducting EP wires over...

  14. Global cancer research initiative

    Directory of Open Access Journals (Sweden)

    Richard R Love

    2010-05-01

    Full Text Available Richard R LoveThe Ohio State University Comprehensive Cancer Center, Columbus, OH, USAAbstract: Cancer is an increasing problem for low- and middle-income countries undergoing an epidemiologic transition from dominantly acute communicable disease to more frequent chronic disease with increased public health successes in the former domain. Progress against cancer in high-income countries has been modest and has come at enormous expense. There are several well-conceived global policy and planning initiatives which, with adequate political will, can favorably impact the growing global cancer challenges. Most financial resources for cancer, however, are spent on diagnosis and management of patients with disease in circumstances where specific knowledge about effective approaches is significantly limited, and the majority of interventions, other than surgery, are not cost-effective in resource-limited countries by global standards. In summary, how to intervene effectively on a global scale for the majority of citizens who develop cancer is poorly defined. In contrast to technology-transfer approaches, markedly increased clinical research activities are more likely to benefit cancer sufferers. In these contexts, a global cancer research initiative is proposed, and mechanisms for realizing such an effort are suggested.Keywords: breast cancer, research, global, international, low-income, middle-income

  15. Drawbacks and benefits associated with inter-organizational collaboration along the discovery-development-delivery continuum: a cancer research network case study

    Directory of Open Access Journals (Sweden)

    Harris Jenine K

    2012-07-01

    Full Text Available Abstract Background The scientific process around cancer research begins with scientific discovery, followed by development of interventions, and finally delivery of needed interventions to people with cancer. Numerous studies have identified substantial gaps between discovery and delivery in health research. Team science has been identified as a possible solution for closing the discovery to delivery gap; however, little is known about effective ways of collaborating within teams and across organizations. The purpose of this study was to determine benefits and drawbacks associated with organizational collaboration across the discovery-development-delivery research continuum. Methods Representatives of organizations working on cancer research across a state answered a survey about how they collaborated with other cancer research organizations in the state and what benefits and drawbacks they experienced while collaborating. We used exponential random graph modeling to determine the association between these benefits and drawbacks and the presence of a collaboration tie between any two network members. Results Different drawbacks and benefits were associated with discovery, development, and delivery collaborations. The only consistent association across all three was with the drawback of difficulty due to geographic differences, which was negatively associated with collaboration, indicating that those organizations that had collaborated were less likely to perceive a barrier related to geography. The benefit, enhanced access to other knowledge, was positive and significant in the development and delivery networks, indicating that collaborating organizations viewed improved knowledge exchange as a benefit of collaboration. ‘Acquisition of additional funding or other resources’ and ‘development of new tools and methods’ were negatively significantly related to collaboration in these networks. So, although improved knowledge access was an

  16. Profiles in Cancer Research

    Science.gov (United States)

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

  17. Bioprinting for cancer research.

    Science.gov (United States)

    Knowlton, Stephanie; Onal, Sevgi; Yu, Chu Hsiang; Zhao, Jean J; Tasoglu, Savas

    2015-09-01

    Bioprinting offers the ability to create highly complex 3D architectures with living cells. This cutting-edge technique has significantly gained popularity and applicability in several fields. Bioprinting methods have been developed to effectively and rapidly pattern living cells, biological macromolecules, and biomaterials. These technologies hold great potential for applications in cancer research. Bioprinted cancer models represent a significant improvement over previous 2D models by mimicking 3D complexity and facilitating physiologically relevant cell-cell and cell-matrix interactions. Here we review bioprinting methods based on inkjet, microextrusion, and laser technologies and compare 3D cancer models with 2D cancer models. We discuss bioprinted models that mimic the tumor microenvironment, providing a platform for deeper understanding of cancer pathology, anticancer drug screening, and cancer treatment development.

  18. Network Topologies Decoding Cervical Cancer.

    Directory of Open Access Journals (Sweden)

    Sarika Jalan

    Full Text Available 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.

  19. Uses of cancer registries for public health and clinical research in Europe: Results of the European Network of Cancer Registries survey among 161 population-based cancer registries during 2010–2012

    NARCIS (Netherlands)

    Siesling, S.; Louwman, W.J.; Kwast, A.; Hurk, van den C.J.G.; O'Callaghan, M.; Rosso, S.; Zanetti, R.; Storm, H.; Comber, H.; Steliarova-Foucher, E.; Coebergh, J.W.W.

    2015-01-01

    Aim To provide insight into cancer registration coverage, data access and use in Europe. This contributes to data and infrastructure harmonisation and will foster a more prominent role of cancer registries (CRs) within public health, clinical policy and cancer research, whether within or outside the

  20. Interventionist Research as a Network

    DEFF Research Database (Denmark)

    Boulus, Nina

    2010-01-01

    ., are interconnected elements that form a network which functions as the apparently coherent whole which designates the research project. Applying a network model allows us to focus on the collective production—the conditions—through which actors, roles and interventions come to exist. Thus, interventions and roles...... Actor-Network Theory. I propose conceptualizing interventionist research as a network of heterogeneous actors with different attachments that are established and continuously reconfigured during the course of the research. Accordingly, people, interventions, roles, authorities, commitments, access, etc...... can be seen as network effects—they are produced, supported and enacted by the network. Hence, the capacity of the interventionist researcher to act in a particular role is neither located within the researcher nor the research project, but in particular socio-material arrangements. Accordingly, roles...

  1. Prostate Cancer Pathology Resource Network

    Science.gov (United States)

    2013-07-01

    May after a long illness. Her responsibilities have been subsumed by Helen Fedor and Medha Darshan, and will be taken over by a Clinical...of the Prostate Cancer Biorepository Network Medha Darshan1*, Qizhi Zheng1*, Helen L. Fedor1*, Nicolas Wyhs2, Srinivasan Yegnasubramanian2...samples using the DNeasy Blood &Tissue kit (Qiagen). DNA quantification and 260:280 ratios were obtained by Nanodrop (Thermo Fisher Scientific Inc

  2. International research networks in pharmaceuticals

    DEFF Research Database (Denmark)

    Cantner, Uwe; Rake, Bastian

    2014-01-01

    Knowledge production and scientific research have become increasingly more collaborative and international, particularly in pharmaceuticals. We analyze this tendency in general and tie formation in international research networks on the country level in particular. Based on a unique dataset...... of scientific publications related to pharmaceutical research and applying social network analysis, we find that both the number of countries and their connectivity increase in almost all disease group specific networks. The cores of the networks consist of high income OECD countries and remain rather stable...

  3. Fostering Cooperation in Cancer Research

    Science.gov (United States)

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

  4. Structuring successful collaboration: a longitudinal social network analysis of a translational research network

    OpenAIRE

    Long, Janet C; Hibbert, Peter; Braithwaite, Jeffrey

    2016-01-01

    Background In 2012 and 2013, we conducted a social network survey of a new translational research network (TRN) designed to deliver better care to cancer patients. Results of these two surveys showed that silos of researchers and clinicians existed before the TRN was established but that the network had mediated collaborative relationships. This paper reports on a third social network survey of the TRN and focusses on the structure of the collaborative arrangements among members. Methods Memb...

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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. Social networks and research output

    NARCIS (Netherlands)

    Ductor, L.; Fafchamps, M.; Goyal, S.; van der Leij, M.J.

    2014-01-01

    We study how knowledge about the social network of an individual researcher - as embodied in his coauthor relations - helps us in developing a more accurate prediction of his future productivity. We find that incorporating information about coauthor networks leads to a modest improvement in the accu

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

    Science.gov (United States)

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

    2011-11-01

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

  9. Basic research in kidney cancer

    NARCIS (Netherlands)

    Oosterwijk, E.; Rathmell, W.K.; Junker, K.; Brannon, A.R.; Pouliot, F.; Finley, D.S.; Mulders, P.F.A.; Kirkali, Z.; Uemura, H.; Belldegrun, A.

    2011-01-01

    CONTEXT: Advances in basic research will enhance prognosis, diagnosis, and treatment of renal cancer patients. OBJECTIVE: To discuss advances in our understanding of the molecular basis of renal cancer, targeted therapies, renal cancer and immunity, and genetic factors and renal cell carcinoma (RCC)

  10. Action Research as a Network

    DEFF Research Database (Denmark)

    Boulus-Rødje, Nina

    2012-01-01

    and the different roles I occupied. To better understand the complex nature of collaboration found within action research projects, I propose conceptualizing action research as a network. The network framework directs our attention to the collective production and the conditions through which roles...... and interventions come to exist. Thus, interventions and roles can be seen as network effects—they are enacted and supported by the network. Accordingly, roles and interventions are neither simply static and fixed nor fluid and flexible; rather, these are products of past and present attachments. I demonstrate how...... the different attachments existing in the network at different points in time enable the configuration of particular actors with capacities to enact different roles and interventions in a diversity of contexts and settings. Finally, I illustrate what happens when these attachments are missing and how...

  11. Discovering cancer genes by integrating network and functional properties

    Directory of Open Access Journals (Sweden)

    Davis David P

    2009-09-01

    Full Text Available Abstract Background Identification of novel cancer-causing genes is one of the main goals in cancer research. The rapid accumulation of genome-wide protein-protein interaction (PPI data in humans has provided a new basis for studying the topological features of cancer genes in cellular networks. It is important to integrate multiple genomic data sources, including PPI networks, protein domains and Gene Ontology (GO annotations, to facilitate the identification of cancer genes. Methods Topological features of the PPI network, as well as protein domain compositions, enrichment of gene ontology categories, sequence and evolutionary conservation features were extracted and compared between cancer genes and other genes. The predictive power of various classifiers for identification of cancer genes was evaluated by cross validation. Experimental validation of a subset of the prediction results was conducted using siRNA knockdown and viability assays in human colon cancer cell line DLD-1. Results Cross validation demonstrated advantageous performance of classifiers based on support vector machines (SVMs with the inclusion of the topological features from the PPI network, protein domain compositions and GO annotations. We then applied the trained SVM classifier to human genes to prioritize putative cancer genes. siRNA knock-down of several SVM predicted cancer genes displayed greatly reduced cell viability in human colon cancer cell line DLD-1. Conclusion Topological features of PPI networks, protein domain compositions and GO annotations are good predictors of cancer genes. The SVM classifier integrates multiple features and as such is useful for prioritizing candidate cancer genes for experimental validations.

  12. Identifying module biomarkers from gastric cancer by differential correlation network

    Directory of Open Access Journals (Sweden)

    Liu X

    2016-09-01

    Full Text Available Xiaoping Liu,1–3,* Xiao Chang1,3,* 1College of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, Anhui Province, People’s Republic of China; 2Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China; 3Collaborative Research Center for Innovative Mathematical Modeling, Institute of Industrial Science, University of Tokyo, Tokyo, Japan *These authors contributed equally to this work Abstract: Gastric cancer (stomach cancer is a severe disease caused by dysregulation of many functionally correlated genes or pathways instead of the mutation of individual genes. Systematic identification of gastric cancer biomarkers can provide insights into the mechanisms underlying this deadly disease and help in the development of new drugs. In this paper, we present a novel network-based approach to predict module biomarkers of gastric cancer that can effectively distinguish the disease from normal samples. Specifically, by assuming that gastric cancer has mainly resulted from dysfunction of biomolecular networks rather than individual genes in an organism, the genes in the module biomarkers are potentially related to gastric cancer. Finally, we identified a module biomarker with 27 genes, and by comparing the module biomarker with known gastric cancer biomarkers, we found that our module biomarker exhibited a greater ability to diagnose the samples with gastric cancer. Keywords: biomarkers, gastric cancer, stomach cancer, differential network

  13. Research, Boundaries, and Policy in Networked Learning

    DEFF Research Database (Denmark)

    This book presents cutting-edge, peer reviewed research on networked learning organized by three themes: policy in networked learning, researching networked learning, and boundaries in networked learning. The "policy in networked learning" section explores networked learning in relation to policy...

  14. Water hammer research in networks

    Directory of Open Access Journals (Sweden)

    Anželika Jurkienė

    2015-10-01

    Full Text Available Formation of water hammer, its consequences and possible protection measures are rarely topics, however the problem is significant. Water hammer can form in water supply and pressurized sewage networks, for various reasons. The article presents short theory of water hammer and methodology for calculation of specific parameters. Research of water hammer was performed in real water supply and sewer networks of country. Simulation of water hammer was carried out by turning on and off water pumps in pumping station. Successful measurement of water hammer depends on accuracy of the measurement equipment, therefore during the research surge wave fluctuations were measured with especially high resolution pressure meters. Detailed analysis of water hammer and selection of protecting equipment hydraulic model of water supply network was created. Protection against water hammer helps to avoid breaking of the water network and extend operation time.

  15. Current concepts in cancer research

    Directory of Open Access Journals (Sweden)

    Ivan Kok Seng Yap

    2013-04-01

    Full Text Available Cancer research is an extremely broadtopic covering many scientific disciplines includingbiology (e.g. biochemistry and signal transduction,chemistry (e.g. drug discover and development,physics (e.g. diagnostic devices and even computerscience (e.g. bioinformatics. Some would argue thatcancer research will continue in much the same wayas it is by adding further layers of complexity to thescientific knowledge that is already complex and almostbeyond measure. But we anticipate that cancer researchwill undergo a dramatic paradigm shift due to therecent explosion of new discoveries in cancer biology.This review article focuses on the latest horizons incancer research concerning cancer epigenetics, cancerstem cells, cancer immunology and cancer metabolism.

  16. Water hammer research in networks

    OpenAIRE

    Anželika Jurkienė; Mindaugas Rimeika

    2015-01-01

    Formation of water hammer, its consequences and possible protection measures are rarely topics, however the problem is significant. Water hammer can form in water supply and pressurized sewage networks, for various reasons. The article presents short theory of water hammer and methodology for calculation of specific parameters. Research of water hammer was performed in real water supply and sewer networks of country. Simulation of water hammer was carried out by turning on and off water pumps...

  17. Research nodes and networks

    DEFF Research Database (Denmark)

    Matthiessen, Christian Wichmann; Schwarz, Annette Winkel; Find, Søren

    2011-01-01

    Analysis of the spatial distribution and connectivity of scientific research, using linkages between academic units (institutions and business)to assess the relative weight of the worlds metropolitan regions. The findings support Richard Floridas assertion that the world is "spiky" rather than fl...

  18. Nebraska Prostate Cancer Research Program

    Science.gov (United States)

    2014-07-01

    2011.  LaTayia Aaron and Joann Powell. (2012). Dioxin exposure enhances nuclear localization of androgen receptor...to be trained in different areas of prostate cancer research. For example, the focus areas or research include Biomarkers , Therapy, Genetics, and...example, the focus areas or research include Biomarkers , Therapy, Genetics, and Tumor Biology as outlined by the laboratory research descriptions in the

  19. Radiology Network (ACRIN) - Cancer Imaging Program

    Science.gov (United States)

    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.

  20. American Institute for Cancer Research

    Science.gov (United States)

    ... About Cancer By Cancer Site What Is Cancer Foods That Fight Cancer Tools You Can Use Cancer Infographics & Multimedia Studying ... About Cancer By Cancer Site What Is Cancer Foods That Fight Cancer Tools You Can Use Cancer Infographics & Multimedia Studying ...

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

    Science.gov (United States)

    ... Thyroid Cancer About Thyroid Cancer What’s New in Thyroid Cancer Research and Treatment? Important research into thyroid cancer ... in Thyroid Cancer Research and Treatment? More In Thyroid Cancer About Thyroid Cancer Causes, Risk Factors, and Prevention ...

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

    Science.gov (United States)

    ... Testicular Cancer About Testicular Cancer What’s New in Testicular Cancer Research and Treatment? Important research into testicular cancer ... in Testicular Cancer Research and Treatment? More In Testicular Cancer About Testicular Cancer Causes, Risk Factors, and Prevention ...

  3. Prostate Cancer Research Training Program

    Science.gov (United States)

    2013-05-01

    evaluate medication safety. Examples of HERCe research include recent publications on breast cancer treatments, complications of chemotherapy for...with specific interest in minimally invasive procedures, new techniques, and outcomes. Dr. Brown initiated many of the laparoscopic and robotic ... surgery as it is one of the main areas of his clinical expertise. Currently, he performs more prostate cancer surgery than any other physician in

  4. Network Penetration Testing and Research

    Science.gov (United States)

    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

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

    Science.gov (United States)

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

    2016-04-27

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

  6. Cell cycle-dependent gene networks relevant to cancer

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The analysis of sophisticated interplays between cell cycle-dependent genes in a disease condition is one of the largely unexplored areas in modern tumor biology research. Many cell cycle-dependent genes are either oncogenes or suppressor genes, or are closely asso- ciated with the transition of a cell cycle. However, it is unclear how the complicated relationships between these cell cycle-dependent genes are, especially in cancers. Here, we sought to identify significant expression relationships between cell cycle-dependent genes by analyzing a HeLa microarray dataset using a local alignment algorithm and constructed a gene transcriptional network specific to the cancer by assembling these newly identified gene-gene relationships. We further characterized this global network by partitioning the whole network into several cell cycle phase-specific sub-networks. All generated networks exhibited the power-law node-degree dis- tribution, and the average clustering coefficients of these networks were remarkably higher than those of pure scale-free networks, indi- cating a property of hierarchical modularity. Based on the known protein-protein interactions and Gene Ontology annotation data, the proteins encoded by cell cycle-dependent interacting genes tended to share the same biological functions or to be involved in the same biological processes, rather than interacting by physical means. Finally, we identified the hub genes related to cancer based on the topo- logical importance that maintain the basic structure of cell cycle-dependent gene networks.

  7. The smart grid research network

    DEFF Research Database (Denmark)

    Troi, Anders; Jørgensen, Bo Nørregaard; Larsen, Emil Mahler

    2013-01-01

    -recommendation: Universities, along with relevant electric-industry actors, should establish a working group for the completion of a consolidated road map by the end of 2012.” In its work on this report, the Smart Grid Research Network has focused particularly on part-recommendations 26, 27 and 28 in ‘MAIN REPORT – The Smart...... Grid Network’s recommendations’, which relate to strengthening and marketing the research infrastructure that will position Denmark as the global hub for Smart Grid development; strengthening basic research into the complex relationships in electric systems with large quantities of independent parties......This road map is a result of part-recommendation no. 25 in ‘MAIN REPORT – The Smart Grid Network’s recommendations’, written by the Smart Grid Network for the Danish Ministry of Climate, Energy and Building in October 2011. This part-recommendation states: “Part-recommendation 25 – A road map...

  8. Mouse models for cancer research

    Institute of Scientific and Technical Information of China (English)

    Wei Zhang; Lynette Moore; Ping Ji

    2011-01-01

    Mouse models of cancer enable researchers to leamn about tumor biology in complicated and dynamic physiological systems. Since the development of gene targeting in mice, cancer biologists have been among the most frequent users of transgenic mouse models, which have dramatically increased knowledge about how cancers form and grow. The Chinese Joumnal of Cancer will publish a series of papers reporting the use of mouse models in studying genetic events in cancer cases. This editorial is an overview of the development and applications of mouse models of cancer and directs the reader to upcoming papers describing the use of these models to be published in coming issues, beginning with three articles in the current issue.

  9. Nebraska Prostate Cancer Research Program

    Science.gov (United States)

    2015-10-01

    Annual National Symposium on Prostate Cancer by CCRTD, CAU, March 16-19, 2014. 15. Appendix #15: Peer- reviewed scientific publication with inputs...and  Immunology Y. Tu CU Regulation of G‐Protein‐Coupled  Receptors in Prostate  Cancer     Acknowledgements: DOD CDMRP PCa Research Program PC121645...AWARD NUMBER: W81XWH-13-1-0264 TITLE: Nebraska Prostate Cancer Research Program PRINCIPAL INVESTIGATOR: Ming-Fong Lin, Ph.D

  10. Breast Cancer Research Program

    Science.gov (United States)

    2010-09-01

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

  11. Social networks user: current research

    Directory of Open Access Journals (Sweden)

    Agadullina E.R.

    2015-12-01

    Full Text Available The purpose of this article is to review current research studies focusing on the users of Facebook and their behaviors in social networks. This review is organized into two sections: 1 social-demographic characteristics (Age, Gender, Nationality; 2 personality characteristics (Neuroticism, Extraversion, Openness-to-Experience, Agreeableness, Conscientiousness, Narcissism, Self-esteem. The results showed that the information in the personal profile and online behavior are strongly connected with socio-demographic and personality characteristics

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

    Science.gov (United States)

    Espey, Michael Graham

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

  13. The Future of Prostate Cancer Research and Treatment

    Science.gov (United States)

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

  14. Pathway and network analysis of cancer genomes

    DEFF Research Database (Denmark)

    Creixell, Pau; Reimand, Jueri; Haider, Syed

    2015-01-01

    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....

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

    Science.gov (United States)

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

    2008-02-01

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

  16. Decoding network dynamics in cancer

    DEFF Research Database (Denmark)

    Linding, Rune

    2014-01-01

    models through computational integration of systematic, large-scale, high-dimensional quantitative data sets. I will review our latest advances in methods for exploring phosphorylation networks. In particular I will discuss how the combination of quantitative mass-spectrometry, systems...... in comparative phospho-proteomics and network evolution [Tan et al. Science Signaling 2009, Tan et al. Science 2009, Tan et al. Science 2011]. Finally, I will discuss our most recent work in analyzing genomic sequencing data from NGS studies and how we have developed new powerful algorithms to predict the impact......Biological systems are composed of highly dynamic and interconnected molecular networks that drive biological decision processes. The goal of network biology is to describe, quantify and predict the information flow and functional behaviour of living systems in a formal language...

  17. Modeling management of research and education networks

    NARCIS (Netherlands)

    Galagan, D.V.

    2004-01-01

    Computer networks and their services have become an essential part of research and education. Nowadays every modern R&E institution must have a computer network and provide network services to its students and staff. In addition to its internal computer network, every R&E institution must have a con

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

    Science.gov (United States)

    ... Liver Cancer About Liver Cancer What's New in Liver Cancer Research and Treatment? Because there are only a ... in Liver Cancer Research and Treatment? More In Liver Cancer About Liver Cancer Causes, Risk Factors, and Prevention ...

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

    Science.gov (United States)

    ... Ovarian Cancer About Ovarian Cancer What's New in Ovarian Cancer Research and Treatment? Risk factors and causes Scientists ... in Ovarian Cancer Research and Treatment? More In Ovarian Cancer About Ovarian Cancer Causes, Risk Factors, and Prevention ...

  20. Using Network Science to Support Design Research

    DEFF Research Database (Denmark)

    Parraguez Ruiz, Pedro; Maier, Anja

    2016-01-01

    A network-based perspective on designing permits research on the complexity of product, process, and people interactions. Strengthened by the latest advances in information technologies and accessibility of data, a network-based perspective and use of appropriate network analysis metrics, theories...... and societal impact. This chapter contributes to the use of network science in empirical studies of design organisations. It focuses on introducing a network-based perspective on the design process and in particular on making use of network science to support design research and practice. The main contribution...... of this chapter is an overview of the methodological challenges and core decision points when embarking on network-based design research, namely defining the overall research purpose and selecting network features. We furthermore highlight the potential for using archival data, the opportunities for navigating...

  1. Gene-Environment Research and Cancer Epidemiology

    Science.gov (United States)

    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.

  2. Center for Herbal Research on Colorectal Cancer

    Data.gov (United States)

    Federal Laboratory Consortium — Research Area: Herbs Program:Centers of Excellence for Research on CAM Description:Colorectal cancer is the third most common cancer and the third leading cause of...

  3. Frederick National Laboratory for Cancer Research

    Data.gov (United States)

    Federal Laboratory Consortium — Among the many cancer research laboratories operated by NCI, the Frederick National Laboratory for Cancer Research(FNLCR) is unique in that it is a Federally Funded...

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

    Science.gov (United States)

    ... Cancer What’s New in Research and Treatment for Thymus Cancer? There is always research going on in ... Research and Treatment for Thymus Cancer? More In Thymus Cancer About Thymus Cancer Causes, Risk Factors, and ...

  5. Towards meeting the research needs of Australian cancer consumers

    Directory of Open Access Journals (Sweden)

    Saunders Carla

    2012-12-01

    Full Text Available Abstract Background There is a growing amount of literature to support the view that active involvement in research by consumers, especially informed and networked consumers, benefits the quality and direction of research itself, the research process and, most importantly, people affected by cancer. Our exploratory project focuses on identifying their priorities and developing a process to assess the research needs of Australian cancer consumers which may be useful beyond the cancer scenario. Methods This project was consumer initiated, developed and implemented, with the assistance of a leading Australian cancer consumer advocacy group, Cancer Voices NSW (CVN. Such direct involvement is unusual and ensures that the priorities identified, and the process itself, are not influenced by other interests, regardless how well-intentioned they may be. The processes established, and data collection via a workshop, followed by a questionnaire to confirm and prioritise findings, and comparison with a similar UK exercise, are detailed in this paper. Results Needs across five topic areas reflecting cancer control domains (prevention and risk; screening and diagnosis; treatment; survivorship; and end of life were identified. Cancer consumers high priority research needs were found to be: earlier diagnosis of metastatic cancers; the extent of use of best practice palliative care guidelines; identifying barriers to cancer risk behaviour change; and environmental, nutrition and lifestyle risk factors for people with cancer. A process for identifying consumers’ research priorities was developed and applied; this may be useful for further investigation in this under-studied area. Conclusion The findings provide a model for developing a consumer derived research agenda in Australia which can be used to inform the strategic direction of cancer research. Consumers have been seeking a workable method to achieve this and have worked in collaboration with a major

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

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

    2013-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Marcio Luis Acencio

    in cancer research interested in detecting signaling networks most prone to contribute with the emergence of malignant phenotype.

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

    Science.gov (United States)

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

    2016-11-01

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

  10. Navigating cancer network attractors for tumor-specific therapy

    DEFF Research Database (Denmark)

    Creixell, Pau; Schoof, Erwin; Erler, Janine Terra

    2012-01-01

    Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach...... these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper...... understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies....

  11. Using Social Network Research in HRM

    DEFF Research Database (Denmark)

    Kaše, Robert; King, Zella; Minbaeva, Dana

    2013-01-01

    ; the impact of social networking sites on perceptions of relationships; and ethical issues in organizational network analysis, we propose specific suggestions to bring social network perspectives closer to HRM researchers and practitioners and rebalance our attention to people and to their relationships....

  12. Drosophila models for cancer research.

    Science.gov (United States)

    Vidal, Marcos; Cagan, Ross L

    2006-02-01

    Drosophila is a model system for cancer research. Investigation with fruit flies has facilitated a number of important recent discoveries in the field: the hippo signaling pathway, which coordinates cell proliferation and death to achieve normal tissue size; 'social' behaviors of cells, including cell competition and apoptosis-induced compensatory proliferation, that help ensure normal tissue size; and a growing understanding of how oncogenes and tumor suppressors cooperate to achieve tumor growth and metastasis in situ. In the future, Drosophila models can be extended beyond basic research in the search for human therapeutics.

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

    Science.gov (United States)

    Rice, L J; Halbert, C H

    2017-01-01

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

  14. The cancer translational research informatics platform

    Directory of Open Access Journals (Sweden)

    Johnson Kimberly

    2008-12-01

    Full Text Available Abstract 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.

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

    OpenAIRE

    Long, Janet C; Cunningham, Frances C.; Carswell, Peter; Braithwaite, Jeffrey

    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, esp...

  16. Interdisciplinary Research Training in Breast Cancer

    Science.gov (United States)

    2005-07-01

    University. An Internet-Based Low- Literacy Cancer Communication Intervention. $1,500, funded. * 2004- Pfizer Clear Health Communication Program. An...Internet-Based Low- Literacy Cancer Communication Intervention. $195,000, not funded. 0 2004- DOD Breast Cancer Research Program, Multidisciplinary...of Connecticut and Yale University. While providing didactic experience in advanced research, methodology, it allows the candidate to have sustained

  17. Prostate cancer research in China

    Institute of Scientific and Technical Information of China (English)

    Shan-Cheng Ren; Rui Chen; Ying-Hao Sun

    2013-01-01

    Prostate cancer (PCa) research in China has been on a rocketing trend in recent years.The first genome-wide association study (GWAS)in China identified two new PCa risk associated single nucleotide polymorphisms (SNPs).Next generation sequencing is beginning to be used,yielding novel findings:gene fusions,long non-coding RNAs and other variations.Mechanisms of PCa progression have been illustrated while various diagnosis biomarkers have been investigated extensively.Personalized therapy based on genetic factors,nano-medicine and traditional Chinese medicine has been the focus of experimental therapeutic research for PCa.This review intends to shed light upon the recent progress in PCa research in China and points out the possible breakthroughs in the future.

  18. Random matrix analysis for gene interaction networks in cancer cells

    CERN Document Server

    Kikkawa, Ayumi

    2016-01-01

    Motivation: The investigation of topological modifications of the gene interaction networks in cancer cells is essential for understanding the desease. We study gene interaction networks in various human cancer cells with the random matrix theory. This study is based on the Cancer Network Galaxy (TCNG) database which is the repository of huge gene interactions inferred by Bayesian network algorithms from 256 microarray experimental data downloaded from NCBI GEO. The original GEO data are provided by the high-throughput microarray expression experiments on various human cancer cells. We apply the random matrix theory to the computationally inferred gene interaction networks in TCNG in order to detect the universality in the topology of the gene interaction networks in cancer cells. Results: We found the universal behavior in almost one half of the 256 gene interaction networks in TCNG. The distribution of nearest neighbor level spacing of the gene interaction matrix becomes the Wigner distribution when the net...

  19. Transcriptional Network Architecture of Breast Cancer Molecular Subtypes

    Science.gov (United States)

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

    2016-01-01

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

  20. Transcriptional Network Architecture of Breast Cancer Molecular Subtypes

    Directory of Open Access Journals (Sweden)

    Guillermo de Anda-Jáuregui

    2016-11-01

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

  1. Transcriptional Network Architecture of Breast Cancer Molecular Subtypes.

    Science.gov (United States)

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

    2016-01-01

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

  2. Overlay networking:applications and research challenges

    Institute of Scientific and Technical Information of China (English)

    LU Jun-xiu; SHAN Xiu-ming; REN Yong

    2004-01-01

    Overlay networking is one of the perspective solutions to today's Intemet challenges. At basic service level, overlay networks can serve as a supplement and enhancement of existing services, such as routing and addressing. At high application level, overlay networks can be used for applications, which are difficult to deploy in existing IP architecture with some specific reasons, e.g., they need high-level information, which is hard to obtain by underlying layers. To address the heterogeneity of today's Internet, overlay networks provide ways to service availability and desirable performance while retaining scalability. In contrast to changing the existing network layer, overlay networks allow bootstrapping, which is most important in the development of Internet infrastructure. Various applications of overlay networking are clarified in this paper. Research challenges including routing and searching in overlay networking are also identified.

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

    Science.gov (United States)

    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…

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

    Science.gov (United States)

    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.

  5. Targeting molecular networks for drug research

    Directory of Open Access Journals (Sweden)

    José Pedro Pinto

    2014-06-01

    Full Text Available The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects, as well as listing pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.

  6. Heroin assisted treatment and research networks

    DEFF Research Database (Denmark)

    Houborg, Esben; Munksgaard, Rasmus

    2015-01-01

    Purpose – The purpose of this paper is to map research communities related to heroin-assisted treatment (HAT) and the scientific network they are part of to determine their structure and content. Design/methodology/approach – Co-authorship as the basis for conducting social network analysis...

  7. Lysyl oxidase in cancer research.

    Science.gov (United States)

    Perryman, Lara; Erler, Janine T

    2014-01-01

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

  8. China, US, Russia Inaugurate Global Research Network

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    @@ China, the United States and Russia began on Jaunary 12 a global network for scientific research, the first of its kind in the North Hemisphere connecting major scientific centers such as Chicago, Moscow and Beijing.

  9. Basic research on cancer related to radiation associated medical researches

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jong In; Hwang, Dae Yong; Bang, Ho Yoon [and others

    2000-12-01

    Basic Research on Cancer related to Radiation Associated Medical Researches including 1. Establishment of animal model of colorectal cancer liver metastasis and measurement of angiogenesis, 2. Tissue expression of Tie-1 and Tie-2 in human colorectal cancer, 3. Enhancement of G2/Mphase Cell Fraction by Adenovirus-mediated p53 Gene Transfer in Ovarian Cancer Cell Lines, 4. Clinical Characteristics of the patients with Non-B Non-C Hepatocellular Carcinoma and Frequency of HBV, HCV and TTV Viremia in these Patients, 5. Significance of serum iron and ferritin in patients with stomach cancer, 6. Telomerase assay for early detection of lung cancer, 7. Study on the Usefulness of Aldehyde dehydrogenase-2 Genotyping for Risk Group of Alcohol-related Cancer Screening, 8. Gene therapy using hepatoma specific promoter, 9. Study on the Influence of DNA repair gene, XRCC1 Genotypes on the Risk of Head and Neck Cancer were performed.

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

    Science.gov (United States)

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

    2013-01-01

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

  11. Novel translational strategies in colorectal cancer research

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Defining translational research is still a complex task. In oncology, translational research implies using our basic knowledge learnt from in vitro and in vivo experiments to directly improve diagnostic tools and therapeutic approaches in cancer patients. Moreover, the better understanding of human cancer and its use to design more reliable tumor models and more accurate experimental systems also has to be considered a good example of translational research. The identification and characterization of new molecular markers and the discovery of novel targeted therapies are two main goals in colorectal cancer translational research. However, the straightforward translation of basic research findings, specifically into colorectal cancer treatment and vice versa is still underway. In the present paper, a summarized view of some of the new available approaches on colorectal cancer translational research is provided. Pros and cons are discussed for every approach exposed.

  12. Breast Cancer Diagnosis using Artificial Neural Networks with Extreme Learning Techniques

    Directory of Open Access Journals (Sweden)

    Chandra Prasetyo Utomo

    2014-07-01

    Full Text Available Breast cancer is the second cause of dead among women. Early detection followed by appropriate cancer treatment can reduce the deadly risk. Medical professionals can make mistakes while identifying a disease. The help of technology such as data mining and machine learning can substantially improve the diagnosis accuracy. Artificial Neural Networks (ANN has been widely used in intelligent breast cancer diagnosis. However, the standard Gradient-Based Back Propagation Artificial Neural Networks (BP ANN has some limitations. There are parameters to be set in the beginning, long time for training process, and possibility to be trapped in local minima. In this research, we implemented ANN with extreme learning techniques for diagnosing breast cancer based on Breast Cancer Wisconsin Dataset. Results showed that Extreme Learning Machine Neural Networks (ELM ANN has better generalization classifier model than BP ANN. The development of this technique is promising as intelligent component in medical decision support systems.

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

    Science.gov (United States)

    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. |

  14. Research and comprehensive cancer control coalitions.

    Science.gov (United States)

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

    2010-12-01

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

  15. Genomic Datasets for Cancer Research

    Science.gov (United States)

    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.

  16. Creatiing a Collaborative Research Network for Scientists

    Science.gov (United States)

    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.

  17. Nebraska Prostate Cancer Research Program

    Science.gov (United States)

    2014-10-01

    MacDonald, Richard G; Mehta, Parmender P; Mott, Justin L; Naslavsky, Naava; Palanimuthu Ponnusamy, Moorthy; Ramaley, Robert F; Sorgen, Paul L; Steinke...feedback regulation of PI3K and androgen receptor signaling in PTEN-deficient prostate cancer, Cancer Cell 19 (2011) 575–586. [29] B.J. Feldman , D... Feldman , The development of androgen-independent prostate cancer, Nat. Rev. Cancer 1 (2001) 34–45. [30] J.D. Debes, D.J. Tindall, Mechanisms of androgen

  18. A Medical Center Network for Optimized Lung Cancer Biospecimen Banking

    Science.gov (United States)

    2014-10-01

    1 Award Number: W81XWH-10-1-0818 TITLE: A Medical Center Network for Optimized Lung Cancer Biospecimen Banking PRINCIPAL...Biospecimen Resource Network: A medical center network for optimized lung cancer biospecimen banking 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-10-1-0818... audit sampling the source forms of 15 randomly selected patients from each Resource Site. The purpose of the audit was make certain required clinical

  19. Biological and Environmental Research Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Balaji, V. [Princeton Univ., NJ (United States). Earth Science Grid Federation (ESGF); Boden, Tom [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Cowley, Dave [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Dart, Eli [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Dattoria, Vince [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Desai, Narayan [Argonne National Lab. (ANL), Argonne, IL (United States); Egan, Rob [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Foster, Ian [Argonne National Lab. (ANL), Argonne, IL (United States); Goldstone, Robin [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Gregurick, Susan [U.S. Dept. of Energy, Washington, DC (United States). Biological Systems Science Division; Houghton, John [U.S. Dept. of Energy, Washington, DC (United States). Biological and Environmental Research (BER) Program; Izaurralde, Cesar [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Johnston, Bill [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Joseph, Renu [U.S. Dept. of Energy, Washington, DC (United States). Climate and Environmental Sciences Division; Kleese-van Dam, Kerstin [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lipton, Mary [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Monga, Inder [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Pritchard, Matt [British Atmospheric Data Centre (BADC), Oxon (United Kingdom); Rotman, Lauren [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Strand, Gary [National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Stuart, Cory [Argonne National Lab. (ANL), Argonne, IL (United States); Tatusova, Tatiana [National Inst. of Health (NIH), Bethesda, MD (United States); Tierney, Brian [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). ESNet; Thomas, Brian [Univ. of California, Berkeley, CA (United States); Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Zurawski, Jason [Internet2, Washington, DC (United States)

    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.

  20. Research@ARL: Network Sciences

    Science.gov (United States)

    2013-03-01

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

  1. African Organization for Research and Training in Cancer: position and vision for cancer research on the African Continent

    OpenAIRE

    Ogunbiyi, J. Olufemi; Stefan, D. Cristina; Timothy R. Rebbeck

    2016-01-01

    The African Organization for Research and training in Cancer (AORTIC) bases the following position statements on a critical appraisal of the state on cancer research and cancer care in Africa including information on the availability of data on cancer burden, screening and prevention for cancer in Africa, cancer care personnel, treatment modalities, and access to cancer care.

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

    Science.gov (United States)

    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.

  3. The FIMP Medicines for Children Research Network

    Directory of Open Access Journals (Sweden)

    Napoleone Ettore

    2010-06-01

    Full Text Available Abstract 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.

  4. Advanced Scientific Computing Research Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    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.

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

    Science.gov (United States)

    Galvão, Viviane; Miranda, José G. V.

    2008-09-01

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

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

    Science.gov (United States)

    Xu, Ren; Mao, Jian-Hua

    2011-04-01

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

  7. The Rare Cancer Network: achievements from 1993 to 2012

    Directory of Open Access Journals (Sweden)

    Kenneth Chang

    2012-06-01

    Full Text Available The Rare Cancer Network (RCN, founded in 1993, performs research involving rare tumors that are not common enough to be the focus of prospective study. Over 55 studies have either been completed or are in progress. The aim of the paper is to present an overview of the 30 studies done through the RCN to date, organized by disease site. Five studies focus on breast pathology, including sarcoma, lymphoma, phyllodes tumor, adenoid cystic carcinoma, and ductal carcinoma in situ in young women. Three studies on prostate cancer address prostatic small cell carcinoma and adenocarcinoma of young and elderly patients. Six studies on head and neck cancers include orbital and intraocular lymphoma, mucosal melanoma, pediatric nasopharyngeal carcinoma, olfactory neuroblastoma, and mucosa-associated lymphoid tissue lymphoma of the salivary glands. There were 4 central nervous system studies on patients with cerebellar glioblastoma multiforme, atypical and malignant meningioma, spinal epidural lymphoma and myxopapillary ependymoma. Outside of these disease sites, there is a wide variety of other studies on tumors ranging from uterine leiomyosarcoma to giant cell tumors of the bone. The studies done by the RCN represent a wide range of rare pathologies that were previously only studied in small series or case reports. With further growth of the RCN and collaboration between members our ability to analyze rare tumors will increase and result in better understanding of their behavior and ultimately help direct research that may improve patient outcomes.

  8. A New Phase in Cancer Research at CERN

    CERN Multimedia

    2002-01-01

    The first meeting of the ENLIGHT network, set up to co-ordinate the development of light ion cancer therapy projects in Europe, took place at CERN last week. This is a form of therapy ideally suited to the treatment of deep-seated tumours and those near critical organs. Hans Hoffmann, Director for Technology transfer and scientific computing, and Director General Luciano Maiani during the opening of the first meeting of the ENLIGHT network that was held at CERN last week. The fruit of several years of work, this meeting offers new hope for the treatment of certain types of cancer. Around 70 specialists, including radiotherapists, oncologists, physicists and engineers, got together at CERN for the first meeting of a European cancer therapy research network named ENLIGHT (European Network for research in LIGHt ion Therapy(1)). This initiative, headed by oncologists and funded by the European Commission, aims to promote the development of light ion (hadron) therapy projects. The choice of CERN as a venue for ...

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

    Science.gov (United States)

    Wang, Xiaosheng; Sun, Qingrong

    2017-01-03

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

  10. Reconstructing the Prostate Cancer Transcriptional Regulatory Network

    Science.gov (United States)

    2010-09-01

    Jul 3;4(7):e6146. Lapointe J, Li C, Higgins JP, van de Rijn M, Bair E, Montgomery K, Ferrari M, Egevad L, Rayford W, Bergerheim U, Ekman P...Adrienne Pollack for the DR-Integrator logo art. Funding: National Institutes of Health (CA97139 and CA112016 to J.R.P.); Paul & Daisy Soros...RO1 AG14358, NIH RO1 CA098415, NIH RO1 CA95717, NIH U24 CA80295, DOD PC060595, Fred Hutchinson Cancer Research Center Institutional Funds, Paul and

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

    Science.gov (United States)

    Chng, Kern Rei; Cheung, Edwin

    2013-11-01

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

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

    Science.gov (United States)

    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.

  13. Creating a national home visiting research network.

    Science.gov (United States)

    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.

  14. [New technologies: support opportunities for network research].

    Science.gov (United States)

    Rodríguez-Martín, A; Novalbos Ruiz, J P; Jiménez-Rodríguez, R; Jiménez-Rodríguez, A

    2012-11-01

    The consolidation of a support area for network research, which promotes collaborative research, training and the dissemination of knowledge through the use of ICTs, requires the organization of a work methodology to share and exchange resources in a specific network that is already running. The establishment of communication mechanisms between researchers from different groups will be necessary along with the introduction of the ICTs in the teaching and advanced environments of research training, different inventories of the research resources that are available for exchanges and shared use between groups and laboratories, and finally, a shared scientific documentation system with the appropriate maintenance of the previously listed tools. Large administrative structures and detailed plans are not needed to comply with all of the above functions. The availability of effective tools, however, to combine efforts and search for resources in all of these areas is needed, with the agility and flexibility that allow us to currently use new communication and information technologies. The results of this research support area should lead to an increase in the efficacy and quality of the network by increasing the flow of information and the inter-group collaboration in teaching, research and professional development, along with the transfer and dissemination of research results.

  15. Human cancer protein-protein interaction network: a structural perspective.

    Directory of Open Access Journals (Sweden)

    Gozde Kar

    2009-12-01

    Full Text Available Protein-protein interaction networks provide a global picture of cellular function and biological processes. Some proteins act as hub proteins, highly connected to others, whereas some others have few interactions. The dysfunction of some interactions causes many diseases, including cancer. Proteins interact through their interfaces. Therefore, studying the interface properties of cancer-related proteins will help explain their role in the interaction networks. Similar or overlapping binding sites should be used repeatedly in single interface hub proteins, making them promiscuous. Alternatively, multi-interface hub proteins make use of several distinct binding sites to bind to different partners. We propose a methodology to integrate protein interfaces into cancer interaction networks (ciSPIN, cancer structural protein interface network. The interactions in the human protein interaction network are replaced by interfaces, coming from either known or predicted complexes. We provide a detailed analysis of cancer related human protein-protein interfaces and the topological properties of the cancer network. The results reveal that cancer-related proteins have smaller, more planar, more charged and less hydrophobic binding sites than non-cancer proteins, which may indicate low affinity and high specificity of the cancer-related interactions. We also classified the genes in ciSPIN according to phenotypes. Within phenotypes, for breast cancer, colorectal cancer and leukemia, interface properties were found to be discriminating from non-cancer interfaces with an accuracy of 71%, 67%, 61%, respectively. In addition, cancer-related proteins tend to interact with their partners through distinct interfaces, corresponding mostly to multi-interface hubs, which comprise 56% of cancer-related proteins, and constituting the nodes with higher essentiality in the network (76%. We illustrate the interface related affinity properties of two cancer-related hub

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

    Science.gov (United States)

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

    2016-09-01

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

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

    Science.gov (United States)

    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

  18. Artificial Neural Network Analysis in Preclinical Breast Cancer

    Directory of Open Access Journals (Sweden)

    Gholamreza Motalleb

    2013-01-01

    Full Text Available 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.

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

    Science.gov (United States)

    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.

  20. Research Areas: Causes of Cancer

    Science.gov (United States)

    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.

  1. SARNET: Severe accident research network of excellence

    Energy Technology Data Exchange (ETDEWEB)

    Albiol, T.; Van Dorsselaere, J. P. [IRSN, DPAM, F-13115 St Paul Les Durance (France); Chaumont, B. [IRSN, DSR, SAGR, F-92262 Fontenay Aux Roses (France); Haste, T. [Paul Scherrer Inst, NES, LTH, OVGA 312, CH-5232 Villigen (Switzerland); Journeau, Ch. [CEA Cadarache, DEN, STRI, LMA, F-13115 St Paul Les Durance (France); Meyer, L. [Forschungszentrum Karlsruhe, D-76021 Karlsruhe (Germany); Sehgal, Bal Raj [KTH, AlbaNova Univ Ctr, S-10691 Stockholm (Sweden); Schwinges, Bernd [Gesell Anlagen and Reaktorsicherheit GRS mbH, D-50667 Cologne (Germany); Beraha, D. [GRS mbH, Forschungsgelande, D-85748 Garching (Germany); Annunziato, A. [Commiss European Communities, JRC, IPSC, I-21020 Ispra, VA (Italy); Zeyen, R. [Commiss European Communities, JRC IE, IRSN DPAM DIR, F-13115 St Paul Les Durance (France)

    2010-07-01

    Fifty-one organisations network in SARNET (Severe Accident Research Network of Excellence) their research capacities in order to resolve the most important pending issues for enhancing, with regard to Severe Accidents (SA), the safety of existing and future Nuclear Power Plants (NPPs). This project. co-funded by the European Commission (EC) under the 6. Framework Programme, has been defined in order to optimise the use of the available means and to constitute sustainable research groups in the European Union. SARNET tackles the fragmentation that may exist between the different national R and D programmes, in defining common research programmes and developing common computer tools and methodologies for safety assessment. SARNET comprises most of the organisations involved in SA research in Europe, plus Canada. To reach these objectives, all the organisations networked in SARNET contributed to a joint Programme of Activities, which consisted of: Implementation of an advanced communication tool for accessing all project information, fostering exchange of information, and managing documents; Harmonization and re-orientation of the research programmes, and definition of new ones; Analysis of the experimental results provided by research programmes in order to elaborate a common understanding of relevant phenomena; Development of the ASTEC code (integral computer code used to predict the NPP behaviour during a postulated SA), which capitalizes in terms of physical models the knowledge produced within SARNET; Development of Scientific Databases in which all the results of research programmes are stored in a common format (DATANET); Development of a common methodology for Probabilistic Safety Assessment of NPPs; Development of short courses and writing a textbook on Severe Accidents for students and researchers; Promotion of personnel mobility amongst various European organisations. This paper presents the major achievements after four and a half years of operation of the

  2. Reprogramming of miRNA networks in cancer and leukemia

    Science.gov (United States)

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

    2010-01-01

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

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

    Science.gov (United States)

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

    2008-01-01

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

  4. Cancer systems biology: signal processing for cancer research

    Institute of Scientific and Technical Information of China (English)

    Olli Yli-Harja; Antti Ylip(a)(a); Matti Nykter; Wei Zhang

    2011-01-01

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

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

    Science.gov (United States)

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

    2011-04-01

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

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

    Science.gov (United States)

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

    2014-07-01

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

  7. International network of cancer genome projects

    NARCIS (Netherlands)

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

    2010-01-01

    The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic

  8. [Pathologists and the French network of expertise on rare cancers ENT: The REFCORpath].

    Science.gov (United States)

    Badoual, Cécile; Baglin, Anne-Catherine; Wassef, Michel; Thariat, Juliette; Reyt, Emile; Janot, François; Baujat, Bertrand

    2014-02-01

    Aerodigestive tract tumors are very diverse, either in terms of location, or histologically. Also, this heterogeneity poses particular problems for the histological diagnosis but also for the establishment of the most appropriate treatment. Thus, the network REFCOR (réseau d'expertise français sur les cancers ORL rares/French expert network on rare ENT cancers) was created to better understand these issues, by proposing an epidemiological and diagnostic approach with research collaborations. This network is dedicated to all primary malignant tumors of the salivary glands, ear, nasal cavity and sinuses and all head and neck malignancies other than conventional squamous cell carcinoma. The REFCORpath network consists of expert pathologists and offers, through a network of scanned images, a second opinion or even a third.

  9. Next generation distributed computing for cancer research.

    Science.gov (United States)

    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.

  10. Infectious Agents and Cancer Epidemiology Research Webinar Series

    Science.gov (United States)

    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.

  11. MicroRNA regulation network in colorectal cancer metastasis

    Institute of Scientific and Technical Information of China (English)

    Jiao-Jiao; Zhou; Shu; Zheng; Li-Feng; Sun; Lei; Zheng

    2014-01-01

    Colorectal cancer is the third most common cancer worldwide. Metastasis is a major cause of colorectal cancer-related death. Mechanisms of metastasis remain largely obscure. MicroRNA is one of the most important epigenetic regulators by targeting mRNAs posttranscriptionally. Accumulated evidence has supported its significant role in the metastasis of colorectal cancer, including epithelial-mesenchymal transition and angiogenesis. Dissecting microRNAome potentially identifies specific microRNAs as biomarkers of colorectal cancer metastasis. Better understanding of the complex network of microRNAs in colorectal cancer metastasis provide new insights in the biological process of metastasis and in the potential targets for colorectal cancer therapies and for diagnosis of recurrent and metastatic colorectal cancer.

  12. Conceptualizing and Advancing Research Networking Systems

    Science.gov (United States)

    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

  13. Conceptualizing and Advancing Research Networking Systems.

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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. |

  15. Cancer classification based on gene expression using neural networks.

    Science.gov (United States)

    Hu, H P; Niu, Z J; Bai, Y P; Tan, X H

    2015-12-21

    Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considered proper through analyses by S-Kohonen, BP, and SVM neural networks. Classification accuracy obtained by S-Kohonen neural network reaches 91%, which was more accurate than classification by BP and SVM neural networks. The results show that S-Kohonen neural network is more plausible for classification and has a certain feasibility and validity as compared with BP and SVM neural networks.

  16. Advances in cancer research. Volume 41

    Energy Technology Data Exchange (ETDEWEB)

    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.

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

    Science.gov (United States)

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

    2010-01-01

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

  18. Phenomenology in pediatric cancer nursing research.

    Science.gov (United States)

    Fochtman, Dianne

    2008-01-01

    What does it mean to have cancer as a child or adolescent? To understand this, researchers must study the illness from the child's point of view and listen to these children's descriptions of their "lived world." Phenomenology is a qualitative research methodology that can be used to discover and interpret meaning. To use phenomenology congruently, the philosophical background must be understood as well as the adaptation of the philosophical basis to research in the caring sciences. Only when clinicians truly understand the meaning of this illness to the child can they design nursing interventions to ease suffering and increase quality of life in children and adolescents with cancer.

  19. NIH Research Leads to Cervical Cancer Vaccine

    Science.gov (United States)

    ... Current Issue Past Issues Sexually Transmitted Diseases NIH Research Leads to Cervical Cancer Vaccine Past Issues / Fall 2008 Table of Contents For ... mystery. Most important, however, is to have a vaccine which potentially can ... focusing their research on helping to produce second-generation HPV vaccines ...

  20. Antiproton radiation found effective in cancer research

    CERN Multimedia

    2003-01-01

    "An international collaboration of scientists has completed the first ever antiproton beam experiments designed to reveal the biological effectiveness of antiproton radiation in terminating cells used for cancer research...PBar Labs assembled the collaboration at CERN (European Organization for Nuclear Research in Geneva) to perform the measurements" (1 page).

  1. A Comprehensive Nuclear Receptor Network for Breast Cancer Cells

    Directory of Open Access Journals (Sweden)

    Ralf Kittler

    2013-02-01

    Full Text Available 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.

  2. Updates in colorectal cancer stem cell research

    Directory of Open Access Journals (Sweden)

    Chun-Jie Li

    2014-01-01

    Full Text Available Colorectal cancer (CRC is one of the world most common malignant tumors, also is the main disease, which cause tumor-associated death. Surgery and chemotherapy are the most used treatment of CRC. Recent research reported that, cancer stem cells (CSCs are considered as the origin of tumor genesis, development, metastasis and recurrence in theory. At present, it has been proved that, CSCs existed in many tumors including CRC. In this review, we summary the identification of CSCs according to the cell surface markers, and the development of drugs that target colorectal cancer stem cells.

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

    Science.gov (United States)

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

    2017-01-01

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

  4. Radiation related basic cancer research

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Seung Hoon; Yoo, Young Do; Hong, Seok Il [and others

    2000-04-01

    We studied the mechanism of radiation-induced apoptosis, the factors involved signaling, and the establishment of radiation-resistant cell lines in this study. During the TGF beta-stimulated epithelial mesenchymal transition(EMT), actin rearrangement occurred first and fibronectin matrix assembly followed. These two events were considered independent since cytochalasin-D did not inhibit TGF stimulated matrix assembly and fibronectin supplementation did not induce EMT. During EMT, alpha 5 beta 1 integrin and alpha v integrin have increased but MMP activation was not accompanied, which suggest that induction of extracellular matrix and activation of integrins may be main contributor for the EMT. Serum depriving induced apoptosis of HUVECs was prevented by vascular endothelial growth factor(VEGF) and PMA. The apoptosis prevention by VEGF and PMA were conformed by DNA fragmentation assay. The p53 expression level was down regulated by VEGF and PMA compared with serum deprived HUVECs. However, VEGF and PMA induces c-Myc expression level on these cells. We made the 5 radiation-resistant clones from breast, lung and cervical cancer cells. More than 70%, 100% and 50% increased resistance was detected in breast cancer cells, lung cancer cells, and cervical cells, respectively. We carried out differential display-PCR to clone the radiation-resistant genes. 9 out of 10 genes were analyzed their sequence.

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

    Science.gov (United States)

    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.

  6. ESnet and Internet2 to launch next gen research network

    CERN Multimedia

    2006-01-01

    "The Department of Energy's (DOE) Energy Sciences Network (ESnet) and Internet2 will deploy a high capacity nationwide network that will greatly enhance the capabilities of researchers across the country who participate in the DOE's scientific research efforts." (1 page)

  7. Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory

    Directory of Open Access Journals (Sweden)

    Nai-Ru Xu

    2016-01-01

    Full Text Available The paper establishes the evolutionary mechanism model of agile supply chain network by means of complex network theory which can be used to describe the growth process of the agile supply chain network and analyze the complexity of the agile supply chain network. After introducing the process and the suitability of taking complex network theory into supply chain network research, the paper applies complex network theory into the agile supply chain network research, analyzes the complexity of agile supply chain network, presents the evolutionary mechanism of agile supply chain network based on complex network theory, and uses Matlab to simulate degree distribution, average path length, clustering coefficient, and node betweenness. Simulation results show that the evolution result displays the scale-free property. It lays the foundations of further research on agile supply chain network based on complex network theory.

  8. Automation of Technology for Cancer Research.

    Science.gov (United States)

    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.

  9. Research on Modeling of Genetic Networks Based on Information Measurement

    Institute of Scientific and Technical Information of China (English)

    ZHANG Guo-wei; SHAO Shi-huang; ZHANG Ying; LI Hai-ying

    2006-01-01

    As the basis of network of biology organism, the genetic network is concerned by many researchers.Current modeling methods to genetic network, especially the Boolean networks modeling method are analyzed. For modeling the genetic network, the information theory is proposed to mining the relations between elements in network. Through calculating the values of information entropy and mutual entropy in a case, the effectiveness of the method is verified.

  10. Institutional shared resources and translational cancer research

    Directory of Open Access Journals (Sweden)

    De Paoli Paolo

    2009-06-01

    Full Text Available Abstract 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

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

    Science.gov (United States)

    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.

  12. Identifying dysregulated pathways in cancers from pathway interaction networks

    Directory of Open Access Journals (Sweden)

    Liu Ke-Qin

    2012-06-01

    Full Text Available Abstract Background Cancers, a group of multifactorial complex diseases, are generally caused by mutation of multiple genes or dysregulation of pathways. Identifying biomarkers that can characterize cancers would help to understand and diagnose cancers. Traditional computational methods that detect genes differentially expressed between cancer and normal samples fail to work due to small sample size and independent assumption among genes. On the other hand, genes work in concert to perform their functions. Therefore, it is expected that dysregulated pathways will serve as better biomarkers compared with single genes. Results In this paper, we propose a novel approach to identify dysregulated pathways in cancer based on a pathway interaction network. Our contribution is three-fold. Firstly, we present a new method to construct pathway interaction network based on gene expression, protein-protein interactions and cellular pathways. Secondly, the identification of dysregulated pathways in cancer is treated as a feature selection problem, which is biologically reasonable and easy to interpret. Thirdly, the dysregulated pathways are identified as subnetworks from the pathway interaction networks, where the subnetworks characterize very well the functional dependency or crosstalk between pathways. The benchmarking results on several distinct cancer datasets demonstrate that our method can obtain more reliable and accurate results compared with existing state of the art methods. Further functional analysis and independent literature evidence also confirm that our identified potential pathogenic pathways are biologically reasonable, indicating the effectiveness of our method. Conclusions Dysregulated pathways can serve as better biomarkers compared with single genes. In this work, by utilizing pathway interaction networks and gene expression data, we propose a novel approach that effectively identifies dysregulated pathways, which can not only be used

  13. Impact of proteomics on bladder cancer research

    DEFF Research Database (Denmark)

    Celis, Julio E; Gromova, Irina; Moreira, José Manuel Alfonso

    2004-01-01

    Detecting bladder cancer at an early stage and predicting how a tumor will behave and act in response to therapy, as well as the identification of new targets for therapeutic intervention, are among the main areas of research that will benefit from the current explosion in the number of powerful ...

  14. Prostate Cancer Research Training Program

    Science.gov (United States)

    2011-05-01

    Associate, Department of Internal Medicine (319-356-4159) http://www.int- med.uiowa.edu/Divisions/ Cardiology /Directory/Micha elSchultz.html Dr. Schultz’s...Core, DNA Core, Flow Cytometry Core, to name but a few. For research that includes laboratory animals, professional, humane veterinary care is

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

    Science.gov (United States)

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

    2015-12-01

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

  16. Profiling metabolic networks to study cancer metabolism.

    Science.gov (United States)

    Hiller, Karsten; Metallo, Christian M

    2013-02-01

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

  17. Research on 6R Military Logistics Network

    Science.gov (United States)

    Jie, Wan; Wen, Wang

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

  18. Network medicine strikes a blow against breast cancer.

    Science.gov (United States)

    Erler, Janine T; Linding, Rune

    2012-05-11

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

  19. Prostate Cancer Research Training Program

    Science.gov (United States)

    2014-05-01

    Iowa. It is conveniently located on the northern edge of the campus and is served by the free Cambus transportation system. The Mayflower has...and museums (art, natural history, and sports). In addition, there are a large number of restaurants ranging from fast food to fine dining...of Iowa. It is conveniently located on the west campus near the research labs and is served by the free Cambus transportation system. The

  20. Ubiquitin proteasome system research in gastrointestinal cancer.

    Science.gov (United States)

    Zhong, Jia-Ling; Huang, Chang-Zhi

    2016-02-15

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

  1. Integrative gene network construction to analyze cancer recurrence using semi-supervised learning.

    Directory of Open Access Journals (Sweden)

    Chihyun Park

    Full Text Available BACKGROUND: The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses only a few labeled samples. Semi-supervised learning can be a great alternative to solve this problem. There have been few attempts based on manifold assumptions to reveal the detailed roles of identified cancer genes in recurrence. RESULTS: In order to predict cancer recurrence, we proposed a novel semi-supervised learning algorithm based on a graph regularization approach. We transformed the gene expression data into a graph structure for semi-supervised learning and integrated protein interaction data with the gene expression data to select functionally-related gene pairs. Then, we predicted the recurrence of cancer by applying a regularization approach to the constructed graph containing both labeled and unlabeled nodes. CONCLUSIONS: The average improvement rate of accuracy for three different cancer datasets was 24.9% compared to existing supervised and semi-supervised methods. We performed functional enrichment on the gene networks used for learning. We identified that those gene networks are significantly associated with cancer-recurrence-related biological functions. Our algorithm was developed with standard C++ and is available in Linux and MS Windows formats in the STL library. The executable program is freely available at: http://embio.yonsei.ac.kr/~Park/ssl.php.

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

    Science.gov (United States)

    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…

  3. Translating basic research in cancer patient care

    Directory of Open Access Journals (Sweden)

    Marcello Maugeri-Saccà

    2011-01-01

    Full Text Available With the advent of molecular targeted therapies and the development of high-throughput biotechnologies, it has become evident that progress in cancer research is largely due to the creation of multidisciplinary teams able to plan clinical trials supported by appropriate molecular hypotheses. These efforts have culminated in the identification and validation of biomarkers predictive of response, as well as in the generation of more accurate prognostic tools. The identification of cancer stem cells has provided further insights into mechanisms of cancer, and many studies have tried to translate this biological notion into prognostic and predictive information. In this regard, new agents targeting key stemness-related pathways have entered the clinical development, and preliminary data suggested an encouraging antitumor activity.

  4. Microarray Applications in Cancer Research

    Science.gov (United States)

    Kim, Il-Jin; Kang, Hio Chung

    2004-01-01

    DNA microarray technology permits simultaneous analysis of thousands of DNA sequences for genomic research and diagnostics applications. Microarray technology represents the most recent and exciting advance in the application of hybridization-based technology for biological sciences analysis. This review focuses on the classification (oligonucleotide vs. cDNA) and application (mutation-genotyping vs. gene expression) of microarrays. Oligonucleotide microarrays can be used both in mutation-genotyping and gene expression analysis, while cDNA microarrays can only be used in gene expression analysis. We review microarray mutation analysis, including examining the use of three oligonucleotide microarrays developed in our laboratory to determine mutations in RET, β-catenin and K-ras genes. We also discuss the use of the Affymetrix GeneChip in mutation analysis. We review microarray gene expression analysis, including the classifying of such studies into four categories: class comparison, class prediction, class discovery and identification of biomarkers. PMID:20368836

  5. Prediction and testing of biological networks underlying intestinal cancer.

    Directory of Open Access Journals (Sweden)

    Vishal N Patel

    Full Text Available Colorectal cancer progresses through an accumulation of somatic mutations, some of which reside in so-called "driver" genes that provide a growth advantage to the tumor. To identify points of intersection between driver gene pathways, we implemented a network analysis framework using protein interactions to predict likely connections--both precedented and novel--between key driver genes in cancer. We applied the framework to find significant connections between two genes, Apc and Cdkn1a (p21, known to be synergistic in tumorigenesis in mouse models. We then assessed the functional coherence of the resulting Apc-Cdkn1a network by engineering in vivo single node perturbations of the network: mouse models mutated individually at Apc (Apc(1638N+/- or Cdkn1a (Cdkn1a(-/-, followed by measurements of protein and gene expression changes in intestinal epithelial tissue. We hypothesized that if the predicted network is biologically coherent (functional, then the predicted nodes should associate more specifically with dysregulated genes and proteins than stochastically selected genes and proteins. The predicted Apc-Cdkn1a network was significantly perturbed at the mRNA-level by both single gene knockouts, and the predictions were also strongly supported based on physical proximity and mRNA coexpression of proteomic targets. These results support the functional coherence of the proposed Apc-Cdkn1a network and also demonstrate how network-based predictions can be statistically tested using high-throughput biological data.

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

    Science.gov (United States)

    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.

  7. 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.

    Science.gov (United States)

    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.

  8. Capillary Network, Cancer and Kleiber Law

    CERN Document Server

    Dattoli, G; Licciardi, S; Guiot, C; Deisboeck, T S

    2014-01-01

    We develop a heuristic model embedding Kleiber and Murray laws to describe mass growth, metastasis and vascularization in cancer. We analyze the relevant dynamics using different evolution equations (Verhulst, Gompertz and others). Their extension to reaction diffusion equation of the Fisher type is then used to describe the relevant metastatic spreading in space. Regarding this last point, we suggest that cancer diffusion may be regulated by Levy flights mechanisms and discuss the possibility that the associated reaction diffusion equations are of the fractional type, with the fractional coefficient being determined by the fractal nature of the capillary evolution.

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

    Science.gov (United States)

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

    2011-01-01

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

  10. Modern International Research Groups: Networks and Infrastructure

    Science.gov (United States)

    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

  11. The future of network governance research

    DEFF Research Database (Denmark)

    Lewis, Jenny

    2011-01-01

    adherence to a single approach. It is argued that more sophisticated approaches for examining network governance are fashioned through a synthesis of ideas and methods to create an analysis of networks as networks. This is especially the case where some formal analysis of network structure is used...

  12. Introduction: Epidemiologic research and prevention of occupational cancer in Europe.

    OpenAIRE

    Boffetta, P.; Kogevinas, M.

    1999-01-01

    Research on occupational cancer epidemiology has been an important area of occupational health in Europe since the early studies were conducted in the United Kingdom in the 1950s and 1960s. During the last decade, occupational cancer research in Europe has gained an international dimension and become increasingly interdisciplinary in nature. At present, occupational exposures might be responsible for 13 to 18% of lung cancers, 2 to 10% of bladder cancers, and 2 to 8% of laryngeal cancers in E...

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

    Science.gov (United States)

    Takayama, Ken-ichi; Inoue, Satoshi

    2013-08-01

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

  14. Recent Themes in Social Networking Service Research

    Science.gov (United States)

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

    2017-01-01

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

  15. Community-centred Networks and Networking among Companies, Educational and Cultural Institutions and Research

    DEFF Research Database (Denmark)

    Konnerup, Ulla; Dirckinck-Holmfeld, Lone

    2010-01-01

    and research as formulated in the Triple Helix Model (Etzkowitz 2008). The article draws on a case study of NoEL, a network on e-learning among business, educational and cultural institutions and research, all in all 21 partners from all around Denmark. Focus is how networks and networking change character...

  16. Stakeholder engagement for comparative effectiveness research in cancer care: experience of the DEcIDE Cancer Consortium.

    Science.gov (United States)

    Greenberg, Caprice C; Wind, Jennifer K; Chang, George J; Chen, Ronald C; Schrag, Deborah

    2013-03-01

    Stakeholder input is a critical component of comparative effectiveness research. To ensure that the research activities of the Developing Evidence to Inform Decisions about Effectiveness (DEcIDE) Network, supported by the Agency for Healthcare Research and Quality, translate into the greatest impact for everyday practice and policy-making in cancer, we were tasked with soliciting stakeholder input regarding priority areas in cancer-related comparative effectiveness research for the DEcIDE Cancer Consortium. Given the increasing emphasis on stakeholder engagement in research, many investigators are facing a similar task, yet there is limited literature to guide such efforts, particularly in cancer care. To help fill this gap, we present our approach to operationalizing stakeholder engagement and discuss it in the context of other recent developments in the area. We describe challenges encountered in convening stakeholders from multiple vantage points to prioritize topics and strategies used to mitigate these barriers. We offer several recommendations regarding how to best solicit stakeholder input to inform comparative effectiveness research in cancer care. These recommendations can inform other initiatives currently facing the challenges of engaging stakeholders in priority setting for cancer.

  17. Improving Cancer Care Through Nursing Research.

    Science.gov (United States)

    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)
.

  18. Federal Plan for Advanced Networking Research and Development

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — In the four decades since Federal research first enabled computers to send and receive data over networks, U.S. government research and development R and D in...

  19. Vulnerability of permafrost carbon research coordination network

    Science.gov (United States)

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

    2012-04-01

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

  20. Gaps in nutritional research among older adults with cancer

    OpenAIRE

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

    2016-01-01

    Nutritional issues among older adults with cancer are an understudied area of research despite significant prognostic implications for treatment side effects, cancer-specific mortality, and overall survival. In May of 2015, the National Cancer Institute and the National Institute on Aging co-sponsored a conference focused on future directions in geriatric oncology research. Nutritional research among older adults with cancer was highlighted as a major area of concern as most nutritional cance...

  1. A Milestone in Cancer Research and Treatment in India

    Science.gov (United States)

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

  2. The structural network of Interleukin-10 and its implications in inflammation and cancer

    OpenAIRE

    Acuner-Özbabacan, Ece Saliha; Engin, Billur Hatice; Güven-Maiorov, Emine; Kuzu, Güray; Muratçıoğlu, Serena; Başpınar, Alper; Gürsoy, Attila; Chen, Zhong; Van Waes, Carter; Nussinov, Ruth

    2014-01-01

    RESEARCH Open Access The structural network of Interleukin-10 and its implications in inflammation and cancer Ece Saliha Acuner-Ozbabacan1, Billur Hatice Engin1, Emine Guven-Maiorov1, Guray Kuzu1, Serena Muratcioglu1, Alper Baspinar1, Zhong Chen3, Carter Van Waes3, Attila Gursoy1, Ozlem Keskin1, Ruth Nussinov2,4* From SNP-SIG 2013: Identification and annotation of genetic variants in the context of structure, function, and disease Berlin, Germany. 19 July 2013 Abstract...

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

    Science.gov (United States)

    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

  4. Research of Innovation Diffusion on Industrial Networks

    Directory of Open Access Journals (Sweden)

    Yongtai Chen

    2014-01-01

    Full Text Available The real value of innovation consists in its diffusion on industrial network. The factors which affect the diffusion of innovation on industrial network are the topology of industrial network and rules of diffusion. Industrial network is a complex network which has scale-free and small-world characters; its structure has some affection on threshold, length of path, enterprise’s status, and information share of innovation diffusion. Based on the cost and attitude to risk of technical innovation, we present the “avalanche” diffusing model of technical innovation on industrial network.

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

    Science.gov (United States)

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

    2017-03-01

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

  6. An Optimal Control of Bone Marrow in Cancer Chemotherapy by Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    H. Hosseinipour

    2015-09-01

    Full Text Available Although neural network models for cancer chemotherapy have been analyzed since the early seventies, less research has been done in actually formulating them as optimal control problems. In this paper an artificial neural networks-based method for optimal control of bone marrow in cell-cycle-specific chemotherapy is proposed. In this method, we use artificial neural networks for approximating the optimal control problem which maximizes both bone marrow mass and drug`s dose at the same time. The corresponding model be transfer to Hamiltonian function and using Pontryagin principle we create the boundary conditions. After defining boundary conditions, we use the approximating property of artificial networks and put the boundary conditions in error functions to satisfy the limitations..

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

    Science.gov (United States)

    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. |

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

    Science.gov (United States)

    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. |

  9. Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer

    Directory of Open Access Journals (Sweden)

    Yun-Xia Zhang

    2016-01-01

    Full Text Available Purpose. The objective of our study was to predicate candidate genes in cervical cancer (CC using a network-based strategy and to understand the pathogenic process of CC. Methods. A pathogenic network of CC was extracted based on known pathogenic genes (seed genes and differentially expressed genes (DEGs between CC and normal controls. Subsequently, cluster analysis was performed to identify the subnetworks in the pathogenic network using ClusterONE. Each gene in the pathogenic network was assigned a weight value, and then candidate genes were obtained based on the weight distribution. Eventually, pathway enrichment analysis for candidate genes was performed. Results. In this work, a total of 330 DEGs were identified between CC and normal controls. From the pathogenic network, 2 intensely connected clusters were extracted, and a total of 52 candidate genes were detected under the weight values greater than 0.10. Among these candidate genes, VIM had the highest weight value. Moreover, candidate genes MMP1, CDC45, and CAT were, respectively, enriched in pathway in cancer, cell cycle, and methane metabolism. Conclusion. Candidate pathogenic genes including MMP1, CDC45, CAT, and VIM might be involved in the pathogenesis of CC. We believe that our results can provide theoretical guidelines for future clinical application.

  10. The Network of European Research and Development Projects

    CERN Document Server

    Barber, M J; Krüger, T; Roediger-Schluga, T

    2005-01-01

    We describe collaboration networks consisting of research projects funded by the European Union and the organizations involved in those projects. The networks are of substantial size and complexity, but are important to understand due to the significant impact they could have on research policies and national economies in the EU. In empirical determinations of the network properties, we observe characteristics similar to other collaboration networks, including scale-free degree distributions, small diameter, and high clustering. We present some plausible models for the formation and structure of networks with the observed properties.

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

    Science.gov (United States)

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

    2017-01-01

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

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

    Science.gov (United States)

    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.

  13. Cancer survivorship research: a review of the literature and summary of current NCI-designated cancer center projects.

    Science.gov (United States)

    Harrop, J Phil; Dean, Julie A; Paskett, Electra D

    2011-10-01

    The number of cancer survivors and the amount of cancer survivorship research have grown substantially during the past three decades. This article provides a review of interventional and observational cancer survivorship research efforts as well as a summary of current cancer survivorship research projects being conducted by National Cancer Institute-designated cancer centers in an effort to identify areas that need further attention.

  14. Theoretical research progress in complexity of complex dynamical networks

    Institute of Scientific and Technical Information of China (English)

    Fang Jinqing

    2007-01-01

    This article reviews the main progress in dynamical complexity of theoretical models for nonlinear complex networks proposed by our Joint Complex Network Research Group (JCNRG). The topological and dynamical properties of these theoretical models are numerically and analytically studied. Several findings are useful for understanding and deeply studying complex networks from macroscopic to microscopic levels and have a potential of applications in real-world networks.

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

    Science.gov (United States)

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

    2014-01-01

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

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

    Science.gov (United States)

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

  17. Europe agrees to boost Internet networks used by researchers

    CERN Multimedia

    Butler, D

    2000-01-01

    The member states of the EU have approved an 80 million Euro upgrade of Europe's research Internet networks. The move will ensure the necessary infrastructure for work to begin on the concept of an advanced research computing 'grid' (1 page).

  18. A Network Partition Algorithm for Mining Gene Functional Modules of Colon Cancer from DNA Microarray Data

    Institute of Scientific and Technical Information of China (English)

    Xiao-Gang Ruan; Jin-Lian Wang; Jian-Geng Li

    2006-01-01

    Computational analysis is essential for transforming the masses of microarray data into a mechanistic understanding of cancer. Here we present a method for finding gene functional modules of cancer from microarray data and have applied it to colon cancer. First, a colon cancer gene network and a normal colon tissue gene network were constructed using correlations between the genes. Then the modules that tended to have a homogeneous functional composition were identified by splitting up the network. Analysis of both networks revealed that they are scale-free.Comparison of the gene functional modules for colon cancer and normal tissues showed that the modules' functions changed with their structures.

  19. Social network analysis of interdisciplinarity in obesity research.

    Science.gov (United States)

    Bales, Michael; Johnson, Stephen B; Weng, Chunhua

    2008-11-06

    Transdisciplinary research accelerates scientific progress. Despite the value of social network analysis to characterize interdepartmental collaboration, institutions have been slow to adopt the approach. We use the approach to characterize collaboration among obesity researchers at our institution, identifying cores of researchers engaged in frequent collaborations. Providing an objective view of research across an institution, social network analysis is a baseline for efforts to facilitate transdisciplinary collaboration.

  20. EARLINET: potential operationality of a research network

    Science.gov (United States)

    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.

  1. The Rare Cancer Network: ongoing studies and future strategy

    Directory of Open Access Journals (Sweden)

    Mahmut Ozsahin

    2014-08-01

    Full Text Available The Rare Cancer Network (RCN was formed in the early 1990’s to create a global network that could pool knowledge and resources in the studies of rare malignancies whose infrequency prevented both their study with prospective clinical trials. To date, the RCN has initiated 74 studies resulting in 46 peer reviewed publications. The First International Symposium of the Rare Cancer Network took place in Nice in March of 2014. Status updates and proposals for new studies were heard for fifteen topics. Ongoing studies continue for cardiac sarcomas, thyroid cancers, glomus tumors, and adult medulloblastomas. New proposals were presented at the symposium for primary hepatic lymphoma, solitary fibrous tumors, Rosai-Dorfman disease, tumors of the ampulla of Vater, salivary gland tumors, anorectal melanoma, midline nuclear protein in testes carcinoma, pulmonary lymphoepithelioma-like carcinoma, adenoid cystic carcinoma of the trachea, osteosarcomas of the mandible, and extra-cranial hemangiopericytoma. This manuscript presents the abstracts of those proposals and updates on ongoing studies, as well a brief summary of the vision and future of the RCN.

  2. How Might Better Network Theories Support School Leadership Research?

    Science.gov (United States)

    Hadfield, Mark; Jopling, Michael

    2012-01-01

    This article explores how recent research in education has applied different aspects of "network" theory to the study of school leadership. Constructs from different network theories are often used because of their perceived potential to clarify two perennial issues in leadership research. The first is the relative importance of formal and…

  3. New Visions for Large Scale Networks: Research and Applications

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — This paper documents the findings of the March 12-14, 2001 Workshop on New Visions for Large-Scale Networks: Research and Applications. The workshops objectives were...

  4. Conditional robustness analysis for fragility discovery and target identification in biochemical networks and in cancer systems biology

    OpenAIRE

    Bianconi, Fortunato; Baldelli, Elisa; Luovini, Vienna; Petricoin, Emanuel F.; Crinò, Lucio; Valigi, Paolo

    2015-01-01

    Background The study of cancer therapy is a key issue in the field of oncology research and the development of target therapies is one of the main problems currently under investigation. This is particularly relevant in different types of tumor where traditional chemotherapy approaches often fail, such as lung cancer. Results We started from the general definition of robustness introduced by Kitano and applied it to the analysis of dynamical biochemical networks, proposing a new algorithm bas...

  5. Aquatic invasive species: Lessons from cancer research

    Science.gov (United States)

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

    2014-01-01

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

  6. The Security Research of Digital Library Network

    Science.gov (United States)

    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.

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

    Directory of Open Access Journals (Sweden)

    Neha Sharma

    2015-01-01

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

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

    Science.gov (United States)

    Sharma, Neha; Om, Hari

    2015-01-01

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

  9. Research in Wireless Networks and Communications

    Science.gov (United States)

    2008-05-01

    mesh networks with British Telecom and other organizations. They use APs equipped with smart antennas and integrated routers . [2] Consider a set of...193. [15] Thomson , J., Baas, B., Cooper, E. M., Gilbert, J. M., Hsieh, G., Husted, P., Lokanathan, A., Kuskin, J. S., McCracken, D., McFarland, B., Meng...Radio Mesh Networking Testbed,” 1st workshop on Wireless Network Measurements (WiNMee 2005), Trento, Italy, April 2005 [20] Thomson , J., Baas, B., Cooper

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

    Science.gov (United States)

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

    2016-07-01

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

  11. A Distributed Network for Intensive Longitudinal Monitoring in Metastatic Triple-Negative Breast Cancer

    Science.gov (United States)

    Blau, C. Anthony; Ramirez, Arturo B.; Blau, Sibel; Pritchard, Colin C.; Dorschner, Michael O.; Schmechel, Stephen C.; Martins, Timothy J.; Mahen, Elisabeth M.; Burton, Kimberly A.; Komashko, Vitalina M.; Radenbaugh, Amie J.; Dougherty, Katy; Thomas, Anju; Miller, Christopher P.; Annis, James; Fromm, Jonathan R.; Song, Chaozhong; Chang, Elizabeth; Howard, Kellie; Austin, Sharon; Schmidt, Rodney A.; Linenberger, Michael L.; Becker, Pamela S.; Senecal, Francis M.; Mecham, Brigham H.; Lee, Su-In; Madan, Anup; Ronen, Roy; Dutkowski, Janusz; Heimfeld, Shelly; Wood, Brent L.; Stilwell, Jackie L.; Kaldjian, Eric P.; Haussler, David; Zhu, Jingchun

    2016-01-01

    Accelerating cancer research is expected to require new types of clinical trials. This report describes the Intensive Trial of OMics in Cancer (ITOMIC) and a participant with triple-negative breast cancer metastatic to bone, who had markedly elevated circulating tumor cells (CTCs) that were monitored 48 times over 9 months. A total of 32 researchers from 14 institutions were engaged in the patient’s evaluation; 20 researchers had no prior involvement in patient care and 18 were recruited specifically for this patient. Whole-exome sequencing of 3 bone marrow samples demonstrated a novel ROS1 variant that was estimated to be present in most or all tumor cells. After an initial response to cisplatin, a hypothesis of crizotinib sensitivity was disproven. Leukapheresis followed by partial CTC enrichment allowed for the development of a differential high-throughput drug screen and demonstrated sensitivity to investigational BH3-mimetic inhibitors of BCL-2 that could not be tested in the patient because requests to the pharmaceutical sponsors were denied. The number and size of CTC clusters correlated with clinical status and eventually death. Focusing the expertise of a distributed network of investigators on an intensively monitored patient with cancer can generate high-resolution views of the natural history of cancer and suggest new opportunities for therapy. Optimization requires access to investigational drugs. PMID:26733551

  12. A Distributed Network for Intensive Longitudinal Monitoring in Metastatic Triple-Negative Breast Cancer.

    Science.gov (United States)

    Blau, C Anthony; Ramirez, Arturo B; Blau, Sibel; Pritchard, Colin C; Dorschner, Michael O; Schmechel, Stephen C; Martins, Timothy J; Mahen, Elisabeth M; Burton, Kimberly A; Komashko, Vitalina M; Radenbaugh, Amie J; Dougherty, Katy; Thomas, Anju; Miller, Christopher P; Annis, James; Fromm, Jonathan R; Song, Chaozhong; Chang, Elizabeth; Howard, Kellie; Austin, Sharon; Schmidt, Rodney A; Linenberger, Michael L; Becker, Pamela S; Senecal, Francis M; Mecham, Brigham H; Lee, Su-In; Madan, Anup; Ronen, Roy; Dutkowski, Janusz; Heimfeld, Shelly; Wood, Brent L; Stilwell, Jackie L; Kaldjian, Eric P; Haussler, David; Zhu, Jingchun

    2016-01-01

    Accelerating cancer research is expected to require new types of clinical trials. This report describes the Intensive Trial of OMics in Cancer (ITOMIC) and a participant with triple-negative breast cancer metastatic to bone, who had markedly elevated circulating tumor cells (CTCs) that were monitored 48 times over 9 months. A total of 32 researchers from 14 institutions were engaged in the patient's evaluation; 20 researchers had no prior involvement in patient care and 18 were recruited specifically for this patient. Whole-exome sequencing of 3 bone marrow samples demonstrated a novel ROS1 variant that was estimated to be present in most or all tumor cells. After an initial response to cisplatin, a hypothesis of crizotinib sensitivity was disproven. Leukapheresis followed by partial CTC enrichment allowed for the development of a differential high-throughput drug screen and demonstrated sensitivity to investigational BH3-mimetic inhibitors of BCL-2 that could not be tested in the patient because requests to the pharmaceutical sponsors were denied. The number and size of CTC clusters correlated with clinical status and eventually death. Focusing the expertise of a distributed network of investigators on an intensively monitored patient with cancer can generate high-resolution views of the natural history of cancer and suggest new opportunities for therapy. Optimization requires access to investigational drugs.

  13. Supporting Scientific Research with the Energy Sciences Network

    CERN Document Server

    CERN. Geneva; Monga, Inder

    2016-01-01

    The Energy Sciences Network (ESnet) is a high-performance, unclassified national network built to support scientific research. Funded by the U.S. Department of Energy’s Office of Science (SC) and managed by Lawrence Berkeley National Laboratory, ESnet provides services to more than 40 DOE research sites, including the entire National Laboratory system, its supercomputing facilities, and its major scientific instruments. ESnet also connects to 140 research and commercial networks, permitting DOE-funded scientists to productively collaborate with partners around the world. ESnet Division Director (Interim) Inder Monga and ESnet Networking Engineer David Mitchell will present current ESnet projects and research activities which help support the HEP community. ESnet  helps support the CERN community by providing 100Gbps trans-Atlantic network transport for the LHCONE and LHCOPN services. ESnet is also actively engaged in researching connectivity to cloud computing resources for HEP workflows a...

  14. The Homogeneity Research of Urban Rail Transit Network Performance

    Directory of Open Access Journals (Sweden)

    Wang Fu-jian

    2016-01-01

    Full Text Available Urban Rail Transit is an important part of the public transit, it is necessary to carry out the corresponding network function analysis. Previous studies mainly about network performance analysis of a single city rail transit, lacking of horizontal comparison between the multi-city, it is difficult to find inner unity of different Urban Rail Transit network functions. Taking into account the Urban Rail Transit network is a typical complex networks, so this paper proposes the application of complex network theory to research the homogeneity of Urban Rail Transit network performance. This paper selects rail networks of Beijing, Shanghai, Guangzhou as calculation case, gave them a complex network mapping through the L, P Space method and had a static topological analysis using complex network theory, Network characteristics in three cities were calculated and analyzed form node degree distribution and node connection preference. Finally, this paper studied the network efficiency changes of Urban Rail Transit system under different attack mode. The results showed that, although rail transport network size, model construction and construction planning of the three cities are different, but their network performance in many aspects showed high homogeneity.

  15. Current Research and Management of Ovarian Cancer in China

    Institute of Scientific and Technical Information of China (English)

    GUMeijiao; SHIWei

    2002-01-01

    Ovarian cancer is ne of the most lethal malignant tumors in China,represents the third most common cancer after cervical cancer and endometrial cancer,and the first leading cause of death from hynaecological cancers.Due to the lack of effective screening strategies and the absence of symptoms in early-stage of disease,over 70% of patients present at an advanced stage.Despite the advances in surgical techniques and conventional chemotheraphy,the prognosis of ovarian cancer has not been improved significantly,and indeed the long-term survival for patients with advanced disease does not exceed 20%.The aetiology of ovarian cancer temains poorly understood.In China,the major focus of research is to clarify the mechanism underlying ovarian cancer,develop more effective life-saving diagnostic and therapeutic measures,and undertake more population-based studies.This article summarizes current research,diagnosis and management of ovarian cancer in China.

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

    Directory of Open Access Journals (Sweden)

    Gyanendra Prasad Joshi

    2013-08-01

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

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

    Science.gov (United States)

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

    2013-08-22

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

  18. Research on variance of subnets in network sampling

    Institute of Scientific and Technical Information of China (English)

    Qi Gao; Xiaoting Li; Feng Pan

    2014-01-01

    In the recent research of network sampling, some sam-pling concepts are misunderstood, and the variance of subnets is not taken into account. We propose the correct definition of the sample and sampling rate in network sampling, as wel as the formula for calculating the variance of subnets. Then, three commonly used sampling strategies are applied to databases of the connecting nearest-neighbor (CNN) model, random network and smal-world network to explore the variance in network sam-pling. As proved by the results, snowbal sampling obtains the most variance of subnets, but does wel in capturing the network struc-ture. The variance of networks sampled by the hub and random strategy are much smal er. The hub strategy performs wel in re-flecting the property of the whole network, while random sampling obtains more accurate results in evaluating clustering coefficient.

  19. The redox biology network in cancer pathophysiology and therapeutics

    Directory of Open Access Journals (Sweden)

    Gina Manda

    2015-08-01

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

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

    Directory of Open Access Journals (Sweden)

    Sjolander Catarina

    2012-09-01

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

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

    Science.gov (United States)

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

    2017-01-01

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

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

    Science.gov (United States)

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

    2011-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Voutsadakis IA

    2015-09-01

    Full Text Available Ioannis A Voutsadakis1,2 1Division of Medical Oncology, Department of Internal Medicine, Sault Area Hospital, Sault Ste Marie, ON, Canada; 2Division of Clinical Sciences, Northern Ontario School of Medicine, Sudbury, ON, Canada Abstract: 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. Keywords: stem cells, epithelial-to-mesenchymal transition, mesenchymal-to-epithelial transition

  4. The network researchers' network: A social network analysis of the IMP Group 1985-2006

    DEFF Research Database (Denmark)

    Henneberg, Stephan C. M.; Ziang, Zhizhong; Naudé, Peter;

    The Industrial Marketing and Purchasing (IMP) Group is a network of academic researchers working in the area of business-to-business marketing. The group meets every year to discuss and exchange ideas, with a conference having been held every year since 1984 (there was no meeting in 1987...... components in some detail. The egonets of three of the original 'founding fathers' are examined in detail, and we draw comparisons as to how their publishing strategies vary. Finally, the paper draws some more general conclusions as to the insights that SNA can bring to those working within business-to-business...... marketing....

  5. Network Science Research Laboratory (NSRL) Telemetry Warehouse

    Science.gov (United States)

    2016-06-01

    providing efficient and responsive services to millions of simultaneous users. Seeing as their business model is largely dependent on maintaining its users...Laboratory (NSRL) is composed of a suite of hardware and software that models the operation of mobile networked device radio frequency (RF) links...unique requirements like hybrid networks and extensive modeling of ground and urban effects on communications. NSRL supports investigation of

  6. Diagnosis of Breast Cancer using a Combination of Genetic Algorithm and Artificial Neural Network in Medical Infrared Thermal Imaging

    Directory of Open Access Journals (Sweden)

    Hossein Ghayoumi zadeh

    2013-03-01

    Full Text Available Introduction This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters among the available parameters are selected and its sensitivity and precision in cancer diagnosis is improved by utilizing genetic algorithm and artificial neural network. Materials and Methods In this research, the necessary information is obtained from thermal imaging of 200 people, and 8 diagnostic parameters are extracted from these images by the research team. Then these 8 parameters are used as input of our proposed combinatorial model which is formed using artificial neural network and genetic algorithm. Results Our results have revealed that comparison of the breast areas; thermal pattern and kurtosis are the most important parameters in breast cancer diagnosis from proposed medical infrared imaging. The proposed combinatorial model with a 50% sensitivity, 75% specificity and, 70% accuracy shows good precision in cancer diagnosis. Conclusion The main goal of this article is to describe the capability of infrared imaging in preliminary diagnosis of breast cancer. This method is beneficial to patients with and without symptoms. The results indicate that the proposed combinatorial model produces optimum and efficacious parameters in comparison to other parameters and can improve the capability and power of globalizing the artificial neural network. This will help physicians in more accurate diagnosis of this type of cancer.

  7. Towards a European Clinical Research Infrastructures Network: the ECRIN programme.

    Science.gov (United States)

    Demotes-Mainard, Jacques

    2004-01-01

    On the basis of the interconnection of national networks of clinical research centres (CRCs) and clinical trials units (CTUs), the European Clinical Research Infrastructures Network (ECRIN) programme aims to develop an infrastructure allowing for bottom-up harmonisation of the support and training for, and practice of, clinical research, and to provide public sponsors for biotechnology small and medium-sized companies (SMEs) with support for translational research and multicentre clinical studies in Europe. This will be achieved through an application to the next FP6 'Integrated Infrastructure Initiatives' call. However, prior work is required to improve the reciprocal knowledge of partners in the ECRIN consortium and, as a first step, country-specific workshops will be organised by national networks in order to address the organisation of CRC/CTUs and national networks, and their interaction with the national environment of clinical research; this will enable in-depth discussion addressing the bottlenecks hampering transnational studies.

  8. Advancement in research of anti-cancer effects of toad venom (ChanSu) and perspectives

    Institute of Scientific and Technical Information of China (English)

    Miao Liu; Li-Xing Feng; Li-Hong Hu; Xuan Liu; De-An Guo

    2015-01-01

    Toad venom, called as ChanSu in China, is a widely used traditional Chinese medicine (TCM) whose active components are mainly bufadienolides. ChanSu could exhibit cardiotonic, anti-microbial, anti-inflammatory and, most importantly, anti-cancer effects. In the present review, reports about the in vitro, in vivo and clinical anti-cancer effects of ChanSu or its representative component, bufalin, were summarized. And, reported anti-cancer mechanisms of cardenolides, structure analogues of bufadienolides, were also introduced. Based on the results got from research of ChanSu/bufalin and the results from cardenolides, possible signal network related to the anti-cancer effects of ChanSu/bufalin was predicted. Furthermore, future potential use of ChanSu in anti-cancer therapy was discussed.

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

    Science.gov (United States)

    Pearlman, Jay; Williams, Albert, III

    2013-04-01

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

  10. Green Cellular Networks: A Survey, Some Research Issues and Challenges

    CERN Document Server

    Hasan, Ziaul; Bhargava, Vijay K

    2011-01-01

    Energy efficiency in cellular networks is a growing concern for cellular operators to not only maintain profitability, but also to reduce the overall environment effects. This emerging trend of achieving energy efficiency in cellular networks is motivating the standardization authorities and network operators to continuously explore future technologies in order to bring improvements in the entire network infrastructure. In this article, we present a brief survey of methods to improve the power efficiency of cellular networks, explore some research issues and challenges and suggest some techniques to enable an energy efficient or "green" cellular network. Since base stations consume a maximum portion of the total energy used in a cellular system, we will first provide a comprehensive survey on techniques to obtain energy savings in base stations. Next, we discuss how heterogenous network deployment based on micro, pico and femto-cells can be used to achieve this goal. Since cognitive radio and cooperative rela...

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

    Science.gov (United States)

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

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

    Directory of Open Access Journals (Sweden)

    Marjan Radi

    2012-01-01

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

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

    Science.gov (United States)

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

    2012-01-01

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

  14. MicroRNA and transcription factor mediated regulatory network for ovarian cancer: regulatory network of ovarian cancer.

    Science.gov (United States)

    Ying, Huanchun; Lv, Jing; Ying, Tianshu; Li, Jun; Yang, Qing; Ma, Yuan

    2013-10-01

    A better understanding on the regulatory interactions of microRNA (miRNA) target genes and transcription factor (TF) target genes in ovarian cancer may be conducive for developing early diagnosis strategy. Thus, gene expression data and miRNA expression data were downloaded from The Cancer Genome Atlas in this study. Differentially expressed genes and miRNAs were selected out with t test, and Gene Ontology enrichment analysis was performed with DAVID tools. Regulatory interactions were retrieved from miRTarBase, TRED, and TRANSFAC, and then networks for miRNA target genes and TF target genes were constructed to globally present the mechanisms. As a result, a total of 1,939 differentially expressed genes were identified, and they were enriched in 28 functions, among which cell cycle was affected to the most degree. Besides, 213 differentially expressed miRNAs were identified. Two regulatory networks for miRNA target genes and TF target genes were established and then both were combined, in which E2F transcription factor 1, cyclin-dependent kinase inhibitor 1A, cyclin E1, and miR-16 were the hub genes. These genes may be potential biomarkers for ovarian cancer.

  15. Lung Cancer:Symptoms, Diagnosis, Treatments & Research | NIH MedlinePlus the Magazine

    Science.gov (United States)

    ... of this page please turn Javascript on. Feature: Lung Cancer Lung Cancer: Symptoms, Diagnosis, Treatments & Research Past Issues / Winter 2013 ... lung cancer are given intravenously or by mouth. Lung Cancer Research The large-scale National Lung Screening Trial, ...

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

    Science.gov (United States)

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

    2015-08-01

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

  17. Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method.

    Directory of Open Access Journals (Sweden)

    Luis Tobalina

    Full Text Available Gene Essentiality Analysis based on Flux Balance Analysis (FBA-based GEA is a promising tool for the identification of novel metabolic therapeutic targets in cancer. The reconstruction of cancer-specific metabolic networks, typically based on gene expression data, constitutes a sensible step in this approach. However, to our knowledge, no extensive assessment on the influence of the reconstruction process on the obtained results has been carried out to date.In this article, we aim to study context-specific networks and their FBA-based GEA results for the identification of cancer-specific metabolic essential genes. To that end, we used gene expression datasets from the Cancer Cell Line Encyclopedia (CCLE, evaluating the results obtained in 174 cancer cell lines. In order to more clearly observe the effect of cancer-specific expression data, we did the same analysis using randomly generated expression patterns. Our computational analysis showed some essential genes that are fairly common in the reconstructions derived from both gene expression and randomly generated data. However, though of limited size, we also found a subset of essential genes that are very rare in the randomly generated networks, while recurrent in the sample derived networks, and, thus, would presumably constitute relevant drug targets for further analysis. In addition, we compare the in-silico results to high-throughput gene silencing experiments from Project Achilles with conflicting results, which leads us to raise several questions, particularly the strong influence of the selected biomass reaction on the obtained results. Notwithstanding, using previous literature in cancer research, we evaluated the most relevant of our targets in three different cancer cell lines, two derived from Gliobastoma Multiforme and one from Non-Small Cell Lung Cancer, finding that some of the predictions are in the right track.

  18. Cancer immunoinformatics: a new assistant tool for malignant disease research

    Institute of Scientific and Technical Information of China (English)

    Wang Weijia; Zhang Rupeng; Liang Han; Zhang Hui; Li Fangxuan; Yu Jinpu; Li Hui

    2014-01-01

    Objective To introduce the recent developments in cancer immunoinformatics with an emphasis on the latest trends and future direction.Data sources All related articles in this review were searched from PubMed published in English from 1992 to 2013.The search terms were cancer,immunoinformatics,immunological databases,and computational vaccinology.Study selection Original articles and reviews those were related to application of cancer immunoinformatics about tumor basic and clinical research were selected.Results Cancer immunoinformatics has been widely researched and applied in a series of fields of cancer research,including computational tools for cancer,cancer immunological databases,computational vaccinology,and cancer diagnostic workflows.Furthermore,the improvement of its theory and technology brings an enlightening insight into understanding and researching cancer and helps expound more deep and complete mechanisms of tumorigenesis and progression.Conclusion Cancer immunoinformatics provides promising methods and novel strategies for the discovery and development of tumor basic and clinical research.

  19. ENER European network for Energy Economics Research. Final report. Thematic Network (ENERGIE Programme), European Commission, DG Research

    Energy Technology Data Exchange (ETDEWEB)

    Eichhammer, W.

    2004-11-15

    Objectives of the Forum of the European Network for Energy Economics Research ENER: to bring to debate latest research results based on both qualitative and quantitative analysis (modelling analysis results) in fields concerning the relationship of energy, climate change and economy to relevant stakeholders in policy, industry, academia and NGOs in foru forums; to strengthen the links between national centres in energy/environment, policy and economics research, in particular with Eastern European countries, in view of their accession to the European Union, and with Switzerland. The Network thus expands links which have been previously growing among EU centres of competence in energy economics research to the EU accession countries and close neighbours; to use the network as a sprinboard for collaborative research on a European scale which will as the final objective of the Network overpass the limited activities proposed in the current frame. (orig.)

  20. On the path to translation: Highlights from the 2010 Canadian Conference on Ovarian Cancer Research

    Directory of Open Access Journals (Sweden)

    Thériault Brigitte L

    2011-06-01

    Full Text Available Abstract Ovarian cancer continues to be the most lethal of the gynaecologic malignancies due to the lack of early detection, screening strategies and ineffective therapeutics for late-stage metastatic disease, particularly in the recurrent setting. The gathering of researchers investigating fundamental pathobiology of ovarian cancer and the clinicians who treat patients with this insidious disease is paramount to meeting the challenges we face. Since 2002, the Canadian Conference on Ovarian Cancer Research, held every two years, has served this essential purpose. The objectives of this conference have been to disseminate new information arising from the most recent ovarian cancer research and identify the most pressing challenges we still face as scientists and clinicians. This is best accomplished through direct encounters and exchanges of innovative ideas among colleagues and trainees from the realms of basic science and clinical disciplines. This meeting has and continues to successfully facilitate rapid networking and establish new collaborations from across Canada. This year, more guest speakers and participants from other countries have extended the breadth of the research on ovarian cancer that was discussed at the meeting. This report summarizes the key findings presented at the fifth biennial Canadian Conference on Ovarian Cancer Research held in Toronto, Ontario, and includes the important issues and challenges we still face in the years ahead to make a significant impact on this devastating disease.

  1. 75 FR 80853 - Designing a Digital Future: Federally Funded Research and Development in Networking and...

    Science.gov (United States)

    2010-12-23

    ... Designing a Digital Future: Federally Funded Research and Development in Networking and Information... ``Designing a Digital Future: Federally Funded Research and Development in Networking and Information... report entitled ``Designing a Digital Future: Federally Funded Research and Development in Networking...

  2. EU project CIPRNet : Critical Infrastructure Preparedness and Resilience Research Network

    NARCIS (Netherlands)

    Luiijf, H.A.M.; Klaver, M.H.A.; Zijderveld, A.; Huyskes, E.

    2013-01-01

    Het Europese onderzoeksproject Critical Infra-structure Preparedness and Resilience Research Network (CIPRNet) gaat een Europees simulatie- en analysecentrum oprichten dat beslissings-ondersteuning gaat leveren voorafgaand aan en tijdens complexe noodsituaties waarin vitale infrastructuur een rol sp

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

    Science.gov (United States)

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

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Ying Huang

    2015-07-01

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

  6. Research, audit and networking: who's in the lead?

    Science.gov (United States)

    Redfern, S; Murrells, T

    This article compares the progress made by nursing development units compared with matched units without NDU status on research, audit and networking activities. Research and dissemination is significantly greater in NDUs than in comparators. Research in NDUs focuses on local attempts to improve practice and has some way to go before it can be generalised to health care settings beyond the unit where it was carried out. There is no difference in number of audits undertaken by NDUs and comparators but NDUs carried out more audits to evaluate nursing work and comparators did proportionately more on practice topics and user issues. There is no association between research and audit activity; more audit does not result in less research Networking activity by staff is significantly greater for NDUs, suggesting they are seen as a resource for other centres. NDUs are active in research and networking--significantly more so than comparators.

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

    Science.gov (United States)

    Chirikov, Igor

    2013-01-01

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

  8. PCs and networking for oceanographic research vessels

    Digital Repository Service at National Institute of Oceanography (India)

    Desai, R.G.P.; Desa, E.; Vithayathil, G.

    on IBM PC compatibles. The computers are located in different laboratories and are dedicated to data collection from one or more instruments. They are integratEd. by a local area network for real time sharing and integration of data. The special...

  9. Unravelling the Social Network: Theory and Research

    Science.gov (United States)

    Merchant, Guy

    2012-01-01

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

  10. Eurocan plus report: feasibility study for coordination of national cancer research activities.

    Science.gov (United States)

    2008-01-01

    , becoming the common voice of the cancer research community and serving as an interface between the cancer research community and European citizens, patients' organizations, European institutions, Member States, industry and small and medium enterprises (SMEs), putting into practice solutions aimed at alleviating barriers to collaboration and coordination of cancer research activities in the European Union, and dealing with legal and regulatory issues. The development of an effective ECI will require time, but this entity should be established immediately. As an initial step, coordination efforts should be directed towards the creation of a platform on translational research that could encompass (1) coordination between basic, clinical and epidemiological research; (2) formal agreements of co-operation between comprehensive cancer centres and basic research laboratories throughout Europe and (3) networking between funding bodies at the European level.The European Parliament and its instruments have had a major influence in cancer control in Europe, notably in tobacco control and in the implementation of effective population-based screening. To make further progress there is a need for novelty and innovation in cancer research and prevention in Europe, and having a platform such as the ECI, where those involved in all aspects of cancer research can meet, discuss and interact, is a decisive development for Europe.

  11. About DCP | Division of Cancer Prevention

    Science.gov (United States)

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

  12. Research on key technology of space laser communication network

    Science.gov (United States)

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

    2016-10-01

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

  13. Content-centric networks an overview, applications and research challenges

    CERN Document Server

    Ahmed, Syed Hassan; Kim, Dongkyun

    2016-01-01

    This book introduces Content-Centric Networking (CCN), a networking paradigm that provides a simple and effective solution to the challenging demands of future wired and wireless communications. It provides an overview of the recent developments in the area of future internet technologies, bringing together the advancements that have been made in Information-Centric Networking (ICN) in general, with a focus on CCN. It begins with an introduction to the basics of CCN is followed by an overview of the current internet paradigm and its challenges. Next, an application perspective has been included, where the authors encompass the selected applications for CCN with recent refereed research and developments. These applications include Internet of Things (IoT), Smart Grid, Vehicular Ad hoc Networks (VANETs), and Wireless Sensor Networks (WSNs). The book is a useful reference source for practising researchers, and can be used as supporting material for undergraduate and graduate level courses in computer science and...

  14. Biography: Dr Iain Frame, director of research, prostate cancer UK.

    Science.gov (United States)

    Frame, Iain; Maprayil, Sophia

    2014-11-01

    Sophia Maprayil, Commissioning Editor for Expert Review of Anticancer Therapy, talks to Dr Iain Frame, Director of Research for Prostate Cancer UK. Iain is Prostate Cancer UK's first Director of Research, responsible for overseeing the development and implementation of the charity's ambitious new research strategy. He joined Prostate Cancer UK in 2012 from Diabetes UK where he held the post of Research Director for 5 years. Since joining Prostate Cancer UK in 2012 Iain has overseen a dramatic increase in the charity's research spend, from 2 million a year, to 7.5 million a year. Previously Iain worked in research management at the Wellcome Trust and before that as a parasitologist and researcher exploring various aspects of molecular biology of a number of different parasites.

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

    Science.gov (United States)

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

    2017-01-01

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

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

    Science.gov (United States)

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

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

    Science.gov (United States)

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

    2017-01-01

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

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

    Science.gov (United States)

    Jia, Libin

    2012-05-01

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

  19. Networks as integrated in research methodologies in PER

    DEFF Research Database (Denmark)

    Bruun, Jesper

    2016-01-01

    In recent years a number of researchers within the PER community have started using network analysis as a new methodology to extend our understanding of teaching and learning physics by viewing these as complex systems. In this paper, I give examples of social, cognitive, and action mapping...... networks and how they can be analyzed. In so doing I show how a network can be methodologically described as a set of relations between a set of entities, and how a network can be characterized and analyzed as a mathematical object. Then, as an illustrative example, I discuss a relatively new example...... of using networks to create insightful maps of learning discussions. To conclude, I argue that conceptual blending is a powerful framework for constructing "mixed methods" methodologies that may integrate diverse theories and other methodologies with network methodologies....

  20. Prostate Cancer Stem Cells: Research Advances.

    Science.gov (United States)

    Jaworska, Dagmara; Król, Wojciech; Szliszka, Ewelina

    2015-01-01

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

  1. Prostate Cancer Stem Cells: Research Advances

    Directory of Open Access Journals (Sweden)

    Dagmara Jaworska

    2015-11-01

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

  2. Collaborations in population-based health research: the 17th annual HMO Research Network Conference, March 23-25, 2011, Boston, Massachusetts, USA.

    Science.gov (United States)

    Lieu, Tracy A; Hinrichsen, Virginia L; Moreira, Andrea; Platt, Richard

    2011-11-01

    The HMO Research Network (HMORN) is a consortium of 16 health care systems with integrated research centers. Approximately 475 people participated in its 17(th) annual conference, hosted by the Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School. The theme, "Collaborations in Population-Based Health Research," reflected the network's emphasis on collaborative studies both among its members and with external investigators. Plenary talks highlighted the initial phase of the HMORN's work to establish the NIH-HMO Collaboratory, opportunities for public health collaborations, the work of early career investigators, and the state of the network. Platform and poster presentations showcased a broad spectrum of innovative public domain research in areas including disease epidemiology and treatment, health economics, and information technology. Special interest group sessions and ancillary meetings provided venues for informal conversation and structured work among ongoing groups, including networks in cancer, cardiovascular diseases, lung diseases, medical product safety, and mental health.

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

    Science.gov (United States)

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

    2016-09-01

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

  4. Network analysis of microRNAs and their regulation in human ovarian cancer

    KAUST Repository

    Schmeier, Sebastian

    2011-11-03

    Background: MicroRNAs (miRNAs) are small non-coding RNA molecules that repress the translation of messenger RNAs (mRNAs) or degrade mRNAs. These functions of miRNAs allow them to control key cellular processes such as development, differentiation and apoptosis, and they have also been implicated in several cancers such as leukaemia, lung, pancreatic and ovarian cancer (OC). Unfortunately, the specific machinery of miRNA regulation, involving transcription factors (TFs) and transcription co-factors (TcoFs), is not well understood. In the present study we focus on computationally deciphering the underlying network of miRNAs, their targets, and their control mechanisms that have an influence on OC development.Results: We analysed experimentally verified data from multiple sources that describe miRNA influence on diseases, miRNA targeting of mRNAs, and on protein-protein interactions, and combined this data with ab initio transcription factor binding site predictions within miRNA promoter regions. From these analyses, we derived a network that describes the influence of miRNAs and their regulation in human OC. We developed a methodology to analyse the network in order to find the nodes that have the largest potential of influencing the network\\'s behaviour (network hubs). We further show the potentially most influential miRNAs, TFs and TcoFs, showing subnetworks illustrating the involved mechanisms as well as regulatory miRNA network motifs in OC. We find an enrichment of miRNA targeted OC genes in the highly relevant pathways cell cycle regulation and apoptosis.Conclusions: We combined several sources of interaction and association data to analyse and place miRNAs within regulatory pathways that influence human OC. These results represent the first comprehensive miRNA regulatory network analysis for human OC. This suggests that miRNAs and their regulation may play a major role in OC and that further directed research in this area is of utmost importance to enhance

  5. The ENCCA-WP7/EuroSarc/EEC/PROVABES/EURAMOS 3rd European Bone Sarcoma Networking Meeting/Joint Workshop of EU Bone Sarcoma Translational Research Networks; Vienna, Austria, September 24-25, 2015. Workshop Report

    NARCIS (Netherlands)

    Kager, L.; Whelan, J.; Dirksen, U.; Hassan, B.; Anninga, J.; Bennister, L.; Bovee, J.V.; Brennan, B.; Broto, J.M.; Brugieres, L.; Cleton-Jansen, A.M.; Copland, C.; Dutour, A.; Fagioli, F.; Ferrari, S.; Fiocco, M.; Fleuren, E.D.; Gaspar, N.; Gelderblom, H.; Gerrand, C.; Gerss, J.; Gonzato, O.; Graaf, W. van der; Hecker-Nolting, S.; Herrero-Martin, D.; Klco-Brosius, S.; Kovar, H.; Ladenstein, R.; Lancia, C.; Ledeley, M.C.; McCabe, M.G.; Metzler, M.; Myklebost, O.; Nathrath, M.; Picci, P.; Potratz, J.; Redini, F.; Richter, G.H.; Reinke, D.; Rutkowski, P.; Scotlandi, K.; Strauss, S.; Thomas, D; Tirado, O.M.; Tirode, F.; Vassal, G.; Bielack, S.S.

    2016-01-01

    This report summarizes the results of the 3rd Joint ENCCA-WP7, EuroSarc, EEC, PROVABES, and EURAMOS European Bone Sarcoma Network Meeting, which was held at the Children's Cancer Research Institute in Vienna, Austria on September 24-25, 2015. The joint bone sarcoma network meetings bring together Eu

  6. Research on cancer diagnosis in Malaysia: current status.

    Science.gov (United States)

    Looi, L M; Zubaidah, Z; Cheah, P L; Cheong, S K; Gudum, H R; Iekhsan, O; Ikram, S I; Jamal, R; Mak, J W; Othman, N H; Puteri, J N; Rosline, H; Sabariah, A R; Seow, H F; Sharifah, N A

    2004-06-01

    Cancer is a major morbidity and mortality concern in Malaysia. Based on National Cancer Registry data, the Malaysian population is estimated to bear a cancer burden of about 40,000 new cases per year, and a cumulative lifetime risk of about 1:4. Cancer research in Malaysia has to consider needs relevant to our population, and resources constraints. Hence, funding bodies prioritise cancers of high prevalence, unique to our community and posing specific clinical problems. Cancer diagnosis is crucial to cancer management. While cancer diagnosis research largely aims at improvements in diagnostic information towards more appropriate therapy, it also impacts upon policy development and other areas of cancer management. The scope of cancer diagnosis upon which this paper is based, and their possible impact on other R&D areas, has been broadly categorized into: (1) identification of aetiological agents and their linkages to the development of precancer and cancer (impact on policy development, cancer prevention and treatment), (2) cancer biology and pathogenesis (impact on cancer prevention, treatment strategies and product development), (3) improvements in accuracy, sensitivity and specificity in cancer detection, monitoring and classification (impact on technology development) and (4) prognostic and predictive parameters (impact on treatment strategies). This paper is based on data collected by the Working Group on Cancer Diagnosis Research for the First National Conference on Cancer Research Coordination in April 2004. Data was collated from the databases of Institutions/Universities where the authors are employed, the Ministry of Science, Technology and Innovation (MOSTI) and targeted survey feedback from key cancer researchers. Under the 7th Malaysia Plan, 76 cancer projects were funded through the Intensified Research in Priority Areas (IRPA) scheme of MOSTI, amounting to almost RM15 million of grant money. 47(61.8%) of these projects were substantially in cancer

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

    Science.gov (United States)

    2016-11-14

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

  8. Altered small-world properties of gray matter networks in breast cancer

    Directory of Open Access Journals (Sweden)

    Hosseini S M

    2012-05-01

    Full Text Available Abstract Background Breast cancer survivors, particularly those treated with chemotherapy, are at significantly increased risk for long-term cognitive and neurobiologic impairments. These deficits tend to involve skills that are subserved by distributed brain networks. Additionally, neuroimaging studies have shown a diffuse pattern of brain structure changes in chemotherapy-treated breast cancer survivors that might impact large-scale brain networks. Methods We therefore applied graph theoretical analysis to compare the gray matter structural networks of female breast cancer survivors with a history of chemotherapy treatment and healthy age and education matched female controls. Results Results revealed reduced clustering coefficient and small-world index in the brain network of the breast cancer patients across a range of network densities. In addition, the network of the breast cancer group had less highly interactive nodes and reduced degree/centrality in the frontotemporal regions compared to controls, which may help explain the common impairments of memory and executive functioning among these patients. Conclusions These results suggest that breast cancer and chemotherapy may decrease regional connectivity as well as global network organization and integration, reducing efficiency of the network. To our knowledge, this is the first report of altered large-scale brain networks associated with breast cancer and chemotherapy.

  9. Towards discovery-driven translational research in breast cancer

    DEFF Research Database (Denmark)

    2005-01-01

    Discovery-driven translational research in breast cancer is moving steadily from the study of cell lines to the analysis of clinically relevant samples that, together with the ever increasing number of novel and powerful technologies available within genomics, proteomics and functional genomics......, promise to have a major impact on the way breast cancer will be diagnosed, treated and monitored in the future. Here we present a brief report on long-term ongoing strategies at the Danish Centre for Translational Breast Cancer Research to search for markers for early detection and targets for therapeutic...... biology approach to fight breast cancer....

  10. Linking International Cancer Screening Efforts

    Science.gov (United States)

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

  11. [The applications and advantages of Drosophila melanogaster in cancer research].

    Science.gov (United States)

    Huo, Guitao; Lu, Jianjun; Qu, Zhe; Lin, Zhi; Zhang, Di; Yang, Yanwei; Li, Bo

    2014-01-01

    The common fruit fly, Drosophila melanogaster, has been used to study human disease as a model organism for many years. Many basic biological, physiological, and neurological properties are conserved between mammals and fly. Moreover, Drosophila melanogaster has its unique advantage as a model organism. Recent studies showed that the high level of signaling pathway conservation in tumorigenesis between fly and human and its feasible genetic operation make fly an effective model for oncology research. Numerous research findings showed Drosophila melanogaster was an ideal model for studying the molecular mechanisms of tumorigenesis, invasion and metastasis. This review mainly focuses on the advantages of Drosophila melanogaster in cancer research, established models used for the research of specific cancers and prospective research direction of oncology. It is hoped that this paper can provide insight for cancer research and development of anti-cancer drugs.

  12. Action research in inter-organisational networks

    DEFF Research Database (Denmark)

    Goduscheit, René Chester; Rasmussen, Erik Stavnsager; Jørgensen, Jacob Høj;

    2007-01-01

    . In addition to the problem-solver and observer roles, the researcher in an inter-organisational setting can serve as a legitimiser of the project and manage to involve partners that in an ordinary business-to-business setting would not have participated. Based on an action research project in a Danish inter...

  13. Using Network Science to Support Design Research

    DEFF Research Database (Denmark)

    Parraguez Ruiz, Pedro; Maier, Anja

    2016-01-01

    , and tools allow us to explore new data-driven research approaches in design. These approaches allow us to move from counting to connecting, meaning to explicitly link disconnected pieces of data, information, and knowledge, and thus to answer far-reaching research questions with strong industrial...

  14. Major clinical research advances in gynecologic cancer in 2015

    Science.gov (United States)

    2016-01-01

    In 2015, fourteen topics were selected as major research advances in gynecologic oncology. For ovarian cancer, high-level evidence for annual screening with multimodal strategy which could reduce ovarian cancer deaths was reported. The best preventive strategies with current status of evidence level were also summarized. Final report of chemotherapy or upfront surgery (CHORUS) trial of neoadjuvant chemotherapy in advanced stage ovarian cancer and individualized therapy based on gene characteristics followed. There was no sign of abating in great interest in immunotherapy as well as targeted therapies in various gynecologic cancers. The fifth Ovarian Cancer Consensus Conference which was held in November 7–9 in Tokyo was briefly introduced. For cervical cancer, update of human papillomavirus vaccines regarding two-dose regimen, 9-valent vaccine, and therapeutic vaccine was reviewed. For corpus cancer, the safety concern of power morcellation in presumed fibroids was explored again with regard to age and prevalence of corpus malignancy. Hormone therapy and endometrial cancer risk, trabectedin as an option for leiomyosarcoma, endometrial cancer and Lynch syndrome, and the radiation therapy guidelines were also discussed. In addition, adjuvant therapy in vulvar cancer and the updated of targeted therapy in gynecologic cancer were addressed. For breast cancer, palbociclib in hormone-receptor-positive advanced disease, oncotype DX Recurrence Score in low-risk patients, regional nodal irradiation to internal mammary, supraclavicular, and axillary lymph nodes, and cavity shave margins were summarized as the last topics covered in this review. PMID:27775259

  15. Effects of Actor-Network Theory in Accounting Research

    DEFF Research Database (Denmark)

    Justesen, Lise Nederland; Mouritsen, Jan

    2011-01-01

    Purpose – This paper aims to discuss how Bruno Latour's version of actor-network theory has influenced accounting research. It also seeks to show that Latour's writings contain unexplored potential that may inspire future accounting research. Design/methodology/approach – The paper takes the form...

  16. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, J.; Calhoun, V.

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  17. Data Transfer Throughput Research Over Mobile Networks

    Directory of Open Access Journals (Sweden)

    Karolis Žvinys

    2013-05-01

    Full Text Available This work analyses communication channel settings of UMTS technology, which are related with a data transfer throughput. The paper describes the measurement equipment that is suitable for measuring parameters of a mobile network channel. Besides, it analyses the suitability of this equipment and issue of parameter values that are associated with data throughput. Further, the study includes the selection of the most specific parameters, which are crucial for data speed. Using these parameters, models were developed for prediction of data transfer throughput. To build the model, the linear and nonlinear forecasting methods were used. The linear prediction was made by using linear regression, nonlinear — neural networks. Using the linear prediction model, 77.83% forecast accuracy was achieved, while the accuracy of forecasted nonlinear transmission rate amounted to 76.19%. The accuracy of prediction models was obtained using eight parameters of the communication channel. Finally, the paper presents the data throughput prediction models that allow predicting data speed with the help of channel parameters presented by a standard terminal. The list of these channel parameters is derived from five UE‘s of different manufacturers. The expected most accurate data transfer rate can be predicted using a set of parameters issued by Nokia device.Article in Lithuanian

  18. [Research progression of translational medicine in gastric cancer].

    Science.gov (United States)

    Li, Maoran; Zhao, Gang; Zhu, Chunchao

    2014-02-01

    Gastric cancer is one of the most common malignant tumors which is a great threat to human health. In recent years, the reform of surgical mordalities and the optimization of radiation and chemotherapy is still far from reducing morbidity and mortality of gastric cancer. As a new research pattern, translational medicine has emerged in various clinical subjects, which leads to remarkable effects. In this paper, the definition and development of translational medicine, molecular markers and drug treatment of gastric cancer will be discussed and the feasibility of translational medicine in the treatment of gastric cancer will be explained. In our opinion, the intervention of translational medicine could change the current situation that scientific researches is severely disconnected with clinical practice and increase the detection rate of gastric cancer and the effective rate of adjuvant therapy after surgery to improve the prognosis of patients with gastric cancer.

  19. Identifying causal networks linking cancer processes and anti-tumor immunity using Bayesian network inference and metagene constructs.

    Science.gov (United States)

    Kaiser, Jacob L; Bland, Cassidy L; Klinke, David J

    2016-03-01

    Cancer arises from a deregulation of both intracellular and intercellular networks that maintain system homeostasis. Identifying the architecture of these networks and how they are changed in cancer is a pre-requisite for designing drugs to restore homeostasis. Since intercellular networks only appear in intact systems, it is difficult to identify how these networks become altered in human cancer using many of the common experimental models. To overcome this, we used the diversity in normal and malignant human tissue samples from the Cancer Genome Atlas (TCGA) database of human breast cancer to identify the topology associated with intercellular networks in vivo. To improve the underlying biological signals, we constructed Bayesian networks using metagene constructs, which represented groups of genes that are concomitantly associated with different immune and cancer states. We also used bootstrap resampling to establish the significance associated with the inferred networks. In short, we found opposing relationships between cell proliferation and epithelial-to-mesenchymal transformation (EMT) with regards to macrophage polarization. These results were consistent across multiple carcinomas in that proliferation was associated with a type 1 cell-mediated anti-tumor immune response and EMT was associated with a pro-tumor anti-inflammatory response. To address the identifiability of these networks from other datasets, we could identify the relationship between EMT and macrophage polarization with fewer samples when the Bayesian network was generated from malignant samples alone. However, the relationship between proliferation and macrophage polarization was identified with fewer samples when the samples were taken from a combination of the normal and malignant samples. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:470-479, 2016.

  20. The Changing Landscape of Lung Cancer Research and Treatment

    Science.gov (United States)

    Along with the Lung Cancer Social Media (#LCSM) community, the National Cancer Institute will be co-hosting a lively and interactive Google Hangout on Air about the changing landscape of lung cancer research and treatment. During the chat, viewers will have the opportunity to pose questions to a panel of lung cancer experts including NCI's Dr. Shakun Malik, the head of thoracic oncology therapeutics, Roy S. Herbst, MD, PhD, Chief of Medical Oncology, Yale Cancer Center and Smilow Cancer Hospital at Yale-New Haven and David Tom Cooke MD FACS, Head, Section of General Thoracic Surgery University of California, Davis. You can also learn more and follow along on the #LCSM Chat page. The chat will be moderated by lung cancer advocate and #LCSM co-founder, Janet Freeman-Daily. To ask questions of our experts, simply use the #LCSM hashtag during the chat.

  1. Biomedical text mining and its applications in cancer research.

    Science.gov (United States)

    Zhu, Fei; Patumcharoenpol, Preecha; Zhang, Cheng; Yang, Yang; Chan, Jonathan; Meechai, Asawin; Vongsangnak, Wanwipa; Shen, Bairong

    2013-04-01

    Cancer is a malignant disease that has caused millions of human deaths. Its study has a long history of well over 100years. There have been an enormous number of publications on cancer research. This integrated but unstructured biomedical text is of great value for cancer diagnostics, treatment, and prevention. The immense body and rapid growth of biomedical text on cancer has led to the appearance of a large number of text mining techniques aimed at extracting novel knowledge from scientific text. Biomedical text mining on cancer research is computationally automatic and high-throughput in nature. However, it is error-prone due to the complexity of natural language processing. In this review, we introduce the basic concepts underlying text mining and examine some frequently used algorithms, tools, and data sets, as well as assessing how much these algorithms have been utilized. We then discuss the current state-of-the-art text mining applications in cancer research and we also provide some resources for cancer text mining. With the development of systems biology, researchers tend to understand complex biomedical systems from a systems biology viewpoint. Thus, the full utilization of text mining to facilitate cancer systems biology research is fast becoming a major concern. To address this issue, we describe the general workflow of text mining in cancer systems biology and each phase of the workflow. We hope that this review can (i) provide a useful overview of the current work of this field; (ii) help researchers to choose text mining tools and datasets; and (iii) highlight how to apply text mining to assist cancer systems biology research.

  2. Meharry-Johns Hopkins Center for Prostate Cancer Research

    Science.gov (United States)

    2014-08-01

    Prostate cancer, Dietary risk factors , Lycopene, Genetic predisposition, African-Americans, Cancer research training, Quality of life, Community...that of CA men (73.9 per 100,000 AA / 25.6 per 100,000 C). Genetic and dietary factors have been identified in explaining a portion of the excess...cancer may occur earlier and be more aggressive among African-American men.  Other possible risk factors include obesity , lifestyle and environmental

  3. Supportive and Palliative Care Research | Division of Cancer Prevention

    Science.gov (United States)

    Supportive and palliative care research includes studies to prevent or treat the acute and chronic symptoms and morbidities related to cancer and its treatment, and to examine the effects of cancer and its treatment on quality of life and psychosocial issues and treatment strategies at the end of life. Active Projects can range from caregiver issues to geriatrics, physical functioning to cognitive dysfunction. | Examining symptoms and morbidities related to cancer, its treatment, quality of life and end of life.

  4. Researching Design, Experience and Practice of Networked Learning

    DEFF Research Database (Denmark)

    Hodgson, Vivien; de Laat, Maarten; McConnell, David;

    2014-01-01

    In the introductory chapter, we explore how networked learning has developed in recent years by summarising and discussing the research presented in the chapters of the book. The chapters are structured in three sections, each highlighting a particular aspect of practice. The first section focuse...... and spaces); the agency and active role of technology within networked learning; and the messy, often chaotic and always political nature of the design, experience and practice of networked learning....... on the relationship between design and its influence on how networked learning practices are implemented. The second section extends this discussion by raising the notion of experiencing networked learning practices. Here the expected and unexpected effects of design and its implementation are scrutinised. The third...

  5. International Partnerships for Clinical Cancer Research

    Science.gov (United States)

    CGH co-sponsors the 2015 International Symposium on Cancer Clinical Trials and related meetings held in partnership with the Japanese National Cancer Center (JNCC) and Embassies of France, Korea, United Kingdom (UK), and United States (US) in Tokyo on May 14 - 15, 2015.

  6. Graphic Evolution Witness the Development of Lung Cancer Translational Research

    Directory of Open Access Journals (Sweden)

    Chao ZHANG

    2016-06-01

    Full Text Available Lung cancer treatment has altered from conventional chemotherapy to targeted treatment, which now has been turned to the immunotherapy. Translational research has played an irreplaceable role during this progression which graphic evolution has witnessed. The evolution has gone through forest plot, KM-curve, waterfall plot, spider plot and timeline-area, showing us the refining concept and gradual process of lung cancer treatment undergoing from community towards individual. Even though the latest immunotherapy is getting increasingly hot, the result isn’t quite expected. Meanwhile, the limitations of conventional treatment still exist which require further research. This article will primarily illustrate the development of translational research of lung cancer via the aspect of curve evolution and analysis some abortive clinical trials in lung cancer surgery for inspiring the next graphic style and lung cancer treatment.

  7. Comparative indicators for cancer network management in England: Availability, characteristics and presentation

    Directory of Open Access Journals (Sweden)

    Coleman Michel P

    2008-02-01

    Full Text Available Abstract Background In 2000, the national cancer plan for England created 34 cancer networks, new organisational structures to coordinate services across populations varying between a half and three million people. We investigated the availability of data sets reflecting measures of structure, process and outcome that could be used to support network management. Methods We investigated the properties of national data sets relating to four common cancers – breast, colorectal, lung and prostate. We reviewed the availability and completeness of these data sets, identified leading items within each set and put them into tables of the 34 cancer networks. We also investigated methods of presentation. Results The Acute Hospitals Portfolio and the Cancer Standards Peer Review recorded structural characteristics at hospital and cancer service level. Process measures included Hospital Episode Statistics, recording admissions, and Hospital Waiting-List data. Patient outcome measures included the National Survey of Patient Satisfaction for cancer, and cancer survival, drawn from cancer registration. Data were drawn together to provide an exemplar indicator set a single network, and methods of graphical presentation were considered. Conclusion While not as yet used together in practice, comparative indicators are available within the National Health Service in England for use in performance assessment by cancer networks.

  8. 75 FR 57521 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-21

    ... FOUNDATION Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010 Strategic Plan--URL Correction AGENCY: The National Coordination Office (NCO) for Networking and Information... Coordination Office for Networking and Information Technology Research and Development (NITRD)...

  9. Genome network medicine: innovation to overcome huge challenges in cancer therapy.

    Science.gov (United States)

    Roukos, Dimitrios H

    2014-01-01

    The post-ENCODE era shapes now a new biomedical research direction for understanding transcriptional and signaling networks driving gene expression and core cellular processes such as cell fate, survival, and apoptosis. Over the past half century, the Francis Crick 'central dogma' of single n gene/protein-phenotype (trait/disease) has defined biology, human physiology, disease, diagnostics, and drugs discovery. However, the ENCODE project and several other genomic studies using high-throughput sequencing technologies, computational strategies, and imaging techniques to visualize regulatory networks, provide evidence that transcriptional process and gene expression are regulated by highly complex dynamic molecular and signaling networks. This Focus article describes the linear experimentation-based limitations of diagnostics and therapeutics to cure advanced cancer and the need to move on from reductionist to network-based approaches. With evident a wide genomic heterogeneity, the power and challenges of next-generation sequencing (NGS) technologies to identify a patient's personal mutational landscape for tailoring the best target drugs in the individual patient are discussed. However, the available drugs are not capable of targeting aberrant signaling networks and research on functional transcriptional heterogeneity and functional genome organization is poorly understood. Therefore, the future clinical genome network medicine aiming at overcoming multiple problems in the new fields of regulatory DNA mapping, noncoding RNA, enhancer RNAs, and dynamic complexity of transcriptional circuitry are also discussed expecting in new innovation technology and strong appreciation of clinical data and evidence-based medicine. The problematic and potential solutions in the discovery of next-generation, molecular, and signaling circuitry-based biomarkers and drugs are explored.

  10. [Recommendations for cancer prevention of World Cancer Research Fund (WCRF): situational analysis for Chile].

    Science.gov (United States)

    Crovetto, Mirta; Uauy, Ricardo

    2013-05-01

    The main diet-related cancers include colorectal, lung, breast in (postmenopausal) women, stomach, esophagus, prostate and pancreas. After tobacco, obesity is the leading cause of cancer; it accounts for one third of all cancers. Cancer is associated with high total body fat, abdominal fat and weight gain in adult life. These are all potentially modifiable risk factors. Consumption of a "healthy diet" and living an "active life" can significantly reduce the risk of cancer. The aim of this study was to analyze the recommendations published by the World Cancer Research Fund (WCRF) and American Institute for Cancer Research (AICR) for the prevention of cancer in 2007. We compared the recommendations of Food, Nutrition and Physical Activity and the Prevention of Cancer: a global perspective", with the national situation in Chile, analyzing the national report on the prevalence of risk factors. Our main finding was that the pattern of consumption and lifestyles differ markedly from the WCRF recommendations: we observed an over consumption of sugary drinks and high intake of processed foods high in sodium and total fat and low consumption of legumes, vegetables, fruits high in antioxidants and fiber that protect from cancer. Chile has an increased cancer prevalence which is associated with poor quality diets, rising mean body mass index and a sedentary behavior. We recommend the strengthening programs to promote healthy diets and active living, in order to reduce cancer risk.

  11. EEG-based research on brain functional networks in cognition.

    Science.gov (United States)

    Wang, Niannian; Zhang, Li; Liu, Guozhong

    2015-01-01

    Recently, exploring the cognitive functions of the brain by establishing a network model to understand the working mechanism of the brain has become a popular research topic in the field of neuroscience. In this study, electroencephalography (EEG) was used to collect data from subjects given four different mathematical cognitive tasks: recite numbers clockwise and counter-clockwise, and letters clockwise and counter-clockwise to build a complex brain function network (BFN). By studying the connectivity features and parameters of those brain functional networks, it was found that the average clustering coefficient is much larger than its corresponding random network and the average shortest path length is similar to the corresponding random networks, which clearly shows the characteristics of the small-world network. The brain regions stimulated during the experiment are consistent with traditional cognitive science regarding learning, memory, comprehension, and other rational judgment results. The new method of complex networking involves studying the mathematical cognitive process of reciting, providing an effective research foundation for exploring the relationship between brain cognition and human learning skills and memory. This could help detect memory deficits early in young and mentally handicapped children, and help scientists understand the causes of cognitive brain disorders.

  12. Biospecimen Core Resource - Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    The purpose of this notice is to notify the community that the National Cancer Institute's (NCI’s) Office of Cancer Clinical Proteomics Research (OCCPR) is seeking sources to establish a Biospecimen Core Resource (BCR), capable of receiving, qualifying, processing, and distributing annotated biospecimens.

  13. Network of participants in European research: accepted versus rejected proposals

    Science.gov (United States)

    Tsouchnika, Maria; Argyrakis, Panos

    2014-12-01

    We investigate the network formed by the collaboration of researchers seeking funding by the European Commission by submitting research proposals. Institutions are network nodes and collaborations are links between the nodes. We constructed one network for the accepted proposals and one for the rejected ones, in order to look for any structural differences between them. To this end, first, we compare the size of the largest connected components and the resulting degree distributions. The latter show notable difference only in the region of relatively small degrees. We calculate the assortative mixing by participant type, i.e. a property which indicates whether the participant is a university/research institute, a company (non-profit included), or undefined. By aggregating the data of both networks into three geographical scales (city, region, country), we compare the degree assortativity and average node weight, in all scales. With respect to these two features the networks display similar behaviour. Finally, we compare a series of centrality measures and the Minimum Spanning Trees, at the country scale, to assess the relative performance of the countries. We find that five countries, France, Germany, the United Kingdom, Spain and Italy, play a central role in both networks, however, their relative significance is not the same.

  14. Does cancer research focus on areas of importance to patients?

    Science.gov (United States)

    Moorcraft, Sing Yu; Sangha, Amrit; Peckitt, Clare; Sanchez, Rodrigo; Lee, Martin; Pattison, Natalie; Wiseman, Theresa

    2016-01-01

    The majority of research ideas are proposed by clinicians or scientists and little is currently known about which areas of research patients feel are important. We performed a 4 week pilot patient survey at the Royal Marsden (a specialist cancer centre) to investigate patients' views on priorities for cancer research. A total of 780 patients completed the survey and the top research priorities were identified as: detection and prevention of cancer, scientific understanding, curative treatment and personalised treatment. The top research priorities were remarkably consistent across age, gender and a variety of tumour types. We believe that patients' views should be considered alongside those of clinicians and researchers when devising research proposals and strategies.

  15. Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors.

    Science.gov (United States)

    Sasaki, Masao S; Tachibana, Akira; Takeda, Shunichi

    2014-05-01

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the 'integrate-and-fire' algorithm of artificial neural networks was developed and tested in cancer databases established by the Radiation Effects Research Foundation. The analysis revealed unique features at low doses that could not be accounted for by nominal exposure dose, including (i) the presence of a threshold that varied with organ, gender and age at exposure, and (ii) a small but significant bumping increase in cancer risk at low doses in Nagasaki that probably reflects internal exposure to (239)Pu. The threshold was distinct from the canonical definition of zero effect in that it was manifested as negative excess relative risk, or suppression of background cancer rates. Such a unique tissue response at low doses of radiation exposure has been implicated in the context of the molecular basis of radiation-environment interplay in favor of recently emerging experimental evidence on DNA double-strand break repair pathway choice and its epigenetic memory by histone marking.

  16. Building capacity for sustainable research programmes for cancer in Africa.

    Science.gov (United States)

    Adewole, Isaac; Martin, Damali N; Williams, Makeda J; Adebamowo, Clement; Bhatia, Kishor; Berling, Christine; Casper, Corey; Elshamy, Karima; Elzawawy, Ahmed; Lawlor, Rita T; Legood, Rosa; Mbulaiteye, Sam M; Odedina, Folakemi T; Olopade, Olufunmilayo I; Olopade, Christopher O; Parkin, Donald M; Rebbeck, Timothy R; Ross, Hana; Santini, Luiz A; Torode, Julie; Trimble, Edward L; Wild, Christopher P; Young, Annie M; Kerr, David J

    2014-05-01

    Cancer research in Africa will have a pivotal role in cancer control planning in this continent. However, environments (such as those in academic or clinical settings) with limited research infrastructure (laboratories, biorespositories, databases) coupled with inadequate funding and other resources have hampered African scientists from carrying out rigorous research. In September 2012, over 100 scientists with expertise in cancer research in Africa met in London to discuss the challenges in performing high-quality research, and to formulate the next steps for building sustainable, comprehensive and multi-disciplinary programmes relevant to Africa. This was the first meeting among five major organizations: the African Organisation for Research and Training in Africa (AORTIC), the Africa Oxford Cancer Foundation (AfrOx), and the National Cancer Institutes (NCI) of Brazil, France and the USA. This article summarizes the discussions and recommendations of this meeting, including the next steps required to create sustainable and impactful research programmes that will enable evidenced-based cancer control approaches and planning at the local, regional and national levels.

  17. Stem cell concepts renew cancer research.

    Science.gov (United States)

    Dick, John E

    2008-12-15

    Although uncontrolled proliferation is a distinguishing property of a tumor as a whole, the individual cells that make up the tumor exhibit considerable variation in many properties, including morphology, proliferation kinetics, and the ability to initiate tumor growth in transplant assays. Understanding the molecular and cellular basis of this heterogeneity has important implications in the design of therapeutic strategies. The mechanistic basis of tumor heterogeneity has been uncertain; however, there is now strong evidence that cancer is a cellular hierarchy with cancer stem cells at the apex. This review provides a historical overview of the influence of hematology on the development of stem cell concepts and their linkage to cancer.

  18. Stories in Networks and Networks in Stories: A Tri-Modal Model for Mixed-Methods Social Network Research on Teachers

    Science.gov (United States)

    Baker-Doyle, Kira J.

    2015-01-01

    Social network research on teachers and schools has risen exponentially in recent years as an innovative method to reveal the role of social networks in education. However, scholars are still exploring ways to incorporate traditional quantitative methods of Social Network Analysis (SNA) with qualitative approaches to social network research. This…

  19. Research Progress of Exosomes in Lung Cancer Diagnosis and Treatment

    Directory of Open Access Journals (Sweden)

    Hongbo ZOU

    2016-11-01

    Full Text Available As the leading cause of morbidity and cancer related-death worldwide, lung cancer has a serious threat to human health. Exosomes are nanoscale lipid membrane vesicles derived from multivesicles, which containing active biomolecules including proteins, lipids, nucleic acids and etc. Exosomes play important roles in lung cancer initiation and progression by promoting the formation of tumor microenvironment, enhancing tumor invasive and metastasis capability, leading to immunosuppression and resistance to chemoradiotherapy, and also have the application value in early diagnosis and treatment. This review summarizes the research progress of exosomes in tumor initiation and progression, and its roles in diagnosis and treatment of lung cancer.

  20. A European perspective--the European clinical research infrastructures network.

    Science.gov (United States)

    Demotes-Mainard, J; Kubiak, C

    2011-11-01

    Evaluating research outcomes requires multinational cooperation in clinical research for optimization of treatment strategies and comparative effectiveness research, leading to evidence-based practice and healthcare cost containment. The European Clinical Research Infrastructures Network (ECRIN) is a distributed ESFRI (European Strategy Forum on Research Infrastructures) roadmap pan-European infrastructure designed to support multinational clinical research, making Europe a single area for clinical studies, taking advantage of its population size to access patients, and unlocking latent scientific potential. Servicing multinational trials started during its preparatory phase, and ECRIN will now apply for an ERIC (European Research Infrastructures Consortium) status by 2011. By creating a single area for clinical research in Europe, this achievement will contribute to the implementation of the Europe flagship initiative 2020 'Innovation Union', whose objectives include defragmentation of the research and education capacity, tackling the major societal challenges starting with the area of healthy ageing, and removing barriers to bring ideas to the market.

  1. Breast Cancer Translational Research Center of Excellence

    Science.gov (United States)

    2015-09-01

    the standard of care for treating breast diseases and breast cancer. This approach integrates prevention , screening, diagnosis, treatment and...follow a healthy lifestyle ?” (submitted for publication clearance April 2015). Ellsworth RE, Mamula KA, Costantino NS, Deyarmin B, Kostyniak PJ, Chi...disorders. The project will continue utilizing a multidisciplinary approach as the standard of care for treating breast diseases and breast cancer. This

  2. A Proposed Precision Network Measurements Architecture for the Philippine Research, Education, and Government Information Network (PREGINET)

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The paper proposes a network measurements architecture for the Philippine research, education, and government information network (PREGINET). The proposed architecture is an NTP-based hybrid network measurements system, which offers precise measurements, easily managed, and less bandwidth-consuming system. An NTP via GPS setup is included in the architecture to provide precise time synchronization all over the network. This setup provides a precise time reference for both the source of the measurements data and the collecting or processing machines.The current network measurements implementations in PREGINET, as presented in the latter part of the paper, will provide a hint on what tools have to be developed in order to implement the proposed architecture.

  3. A social network analysis of communication about hereditary nonpolyposis colorectal cancer genetic testing and family functioning.

    Science.gov (United States)

    Koehly, Laura M; Peterson, Susan K; Watts, Beatty G; Kempf, Kari K G; Vernon, Sally W; Gritz, Ellen R

    2003-04-01

    Hereditary cancers are relational diseases. A primary focus of research in the past has been the biological relations that exist within the families and how genes are passed along family lines. However, hereditary cancers are relational in a psychosocial sense, as well. They can impact communication relationships within a family, as well as support relationships among family members. Furthermore, the familial culture can affect an individual's participation in genetic counseling and testing endeavors. Our aims are (a) to describe the composition of familial networks, (b) to characterize the patterns of family functioning within families, (c) to analyze how these patterns relate to communications about genetic counseling and testing among family members, and (d) to identify influential family members. Specifically, we asked how the relationship between mutation status, kinship ties, and family functioning constructs, e.g., communication, cohesion, affective involvement, leadership, and conflict, was associated with discussions about genetic counseling and testing. We used social network analysis and random graph techniques to examine 783 dyadic relationships in 36 members of 5 hereditary nonpolyposis colorectal cancer (HNPCC) families interviewed from 1999-2000. Results suggest that in these five HNPCC families, two family members are more likely to discuss genetic counseling and testing if either one carries the mutation, if either one is a spouse or a first-degree relative of the other, or if the relationship is defined by positive cohesion, leadership, or lack of conflict. Furthermore, the family functioning patterns suggest that mothers tend to be the most influential persons in the family network. Results of this study suggest encouraging family members who act in the mother role to take a "team approach" with the family proband when discussing HNPCC risks and management with family members.

  4. Advanced Scientific Computing Research Network Requirements: ASCR Network Requirements Review Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Bacon, Charles [Argonne National Lab. (ANL), Argonne, IL (United States); Bell, Greg [ESnet, Berkeley, CA (United States); Canon, Shane [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dart, Eli [ESnet, Berkeley, CA (United States); Dattoria, Vince [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Goodwin, Dave [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Lee, Jason [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hicks, Susan [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Holohan, Ed [Argonne National Lab. (ANL), Argonne, IL (United States); Klasky, Scott [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lauzon, Carolyn [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Rogers, Jim [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Shipman, Galen [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Skinner, David [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tierney, Brian [ESnet, Berkeley, CA (United States)

    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.

  5. AmeriFlux Measurement Network: Science Team Research

    Energy Technology Data Exchange (ETDEWEB)

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  6. Gastric cancer research in Mexico: a public health priority.

    Science.gov (United States)

    Sampieri, Clara Luz; Mora, Mauricio

    2014-04-28

    This study aimed review studies conducted on Mexican patients diagnosed with gastric cancer and/or diseases associated with its development, in which at least one Mexican institute has participated, and to assess their contributions to the primary and secondary prevention of this disease. A search of the Medline database was conducted using the following keywords: gastric/stomach cancer, Mexico. Studies of the Mexican population were selected in which at least one Mexican Institute had participated and where the findings could support public policy proposals directed towards the primary or secondary prevention of gastric cancer. Of the 148 studies found in the Medline database, 100 were discarded and 48 were reviewed. According to the analysis presented, these studies were classified as: epidemiology of gastric cancer (5/48); risk factors and protectors relating to gastric cancer (9/48); relationship between Helicobacter pylori and pathologies associated with gastric cancer and the development of the disease (16/48); relationship between the Epstein-Barr virus and pathologies associated with gastric cancer and the development of the disease (3/48); molecular markers for the development of diseases associated with gastric cancer and gastric cancer (15/48). Mexico requires a program for the prevention and control of gastric cancer based on national health indicators. This should be produced by a multidisciplinary committee of experts who can propose actions that are relevant in the current national context. The few studies of gastric cancer conducted on the Mexican population in national institutes highlight the poor connection that currently exists between the scientific community and the health sector in terms of resolving this health issue. Public policies for health research should support projects with findings that can be translated into benefits for the population. This review serves to identify national research groups studying gastric cancer in the Mexican

  7. Gastric cancer research in Mexico: A public health priority

    Science.gov (United States)

    Sampieri, Clara Luz; Mora, Mauricio

    2014-01-01

    This study aimed review studies conducted on Mexican patients diagnosed with gastric cancer and/or diseases associated with its development, in which at least one Mexican institute has participated, and to assess their contributions to the primary and secondary prevention of this disease. A search of the Medline database was conducted using the following keywords: gastric/stomach cancer, Mexico. Studies of the Mexican population were selected in which at least one Mexican Institute had participated and where the findings could support public policy proposals directed towards the primary or secondary prevention of gastric cancer. Of the 148 studies found in the Medline database, 100 were discarded and 48 were reviewed. According to the analysis presented, these studies were classified as: epidemiology of gastric cancer (5/48); risk factors and protectors relating to gastric cancer (9/48); relationship between Helicobacter pylori and pathologies associated with gastric cancer and the development of the disease (16/48); relationship between the Epstein-Barr virus and pathologies associated with gastric cancer and the development of the disease (3/48); molecular markers for the development of diseases associated with gastric cancer and gastric cancer (15/48). Mexico requires a program for the prevention and control of gastric cancer based on national health indicators. This should be produced by a multidisciplinary committee of experts who can propose actions that are relevant in the current national context. The few studies of gastric cancer conducted on the Mexican population in national institutes highlight the poor connection that currently exists between the scientific community and the health sector in terms of resolving this health issue. Public policies for health research should support projects with findings that can be translated into benefits for the population. This review serves to identify national research groups studying gastric cancer in the Mexican

  8. A survey of etiologic hypotheses among testicular cancer researchers

    DEFF Research Database (Denmark)

    Stang, A; Trabert, B; Rusner, C

    2015-01-01

    the plausibility of the suggested etiologic hypotheses on a scale of 1 (very implausible) to 10 (very plausible). This report describes the methodology of the survey, the score distributions by individual hypotheses, hypothesis group, and the participants' major research fields, and discuss the hypotheses......Basic research results can provide new ideas and hypotheses to be examined in epidemiological studies. We conducted a survey among testicular cancer researchers on hypotheses concerning the etiology of this malignancy. All researchers on the mailing list of Copenhagen Testis Cancer Workshops...

  9. A comparison of cancer burden and research spending reveals discrepancies in the distribution of research funding

    Directory of Open Access Journals (Sweden)

    Carter Ashley JR

    2012-07-01

    Full Text Available Abstract Background Ideally, the distribution of research funding for different types of cancer should be equitable with respect to the societal burden each type of cancer imposes. These burdens can be estimated in a variety of ways; “Years of Life Lost” (YLL measures the severity of death in regard to the age it occurs, "Disability-Adjusted Life-Years" (DALY estimates the effects of non-lethal disabilities incurred by disease and economic metrics focus on the losses to tax revenue, productivity or direct medical expenses. We compared research funding from the National Cancer Institute (NCI to a variety of burden metrics for the most common types of cancer to identify mismatches between spending and societal burden. Methods Research funding levels were obtained from the NCI website and information for societal health and economic burdens were collected from government databases and published reports. We calculated the funding levels per unit burden for a wide range of different cancers and burden metrics and compared these values to identify discrepancies. Results Our analysis reveals a considerable mismatch between funding levels and burden. Some cancers are funded at levels far higher than their relative burden suggests (breast cancer, prostate cancer, and leukemia while other cancers appear underfunded (bladder, esophageal, liver, oral, pancreatic, stomach, and uterine cancers. Conclusions These discrepancies indicate that an improved method of health care research funding allocation should be investigated to better match funding levels to societal burden.

  10. Promoting Cognitive Health: A Formative Research Collaboration of the Healthy Aging Research Network

    Science.gov (United States)

    Laditka, James N.; Beard, Renee L.; Bryant, Lucinda L.; Fetterman, David; Hunter, Rebecca; Ivey, Susan; Logsdon, Rebecca G.; Sharkey, Joseph R.; Wu, Bei

    2009-01-01

    Purpose: Evidence suggests that healthy lifestyles may help maintain cognitive health. The Prevention Research Centers Healthy Aging Research Network, 9 universities collaborating with their communities and the Centers for Disease Control and Prevention, is conducting a multiyear research project, begun in 2005, to understand how to translate this…

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

    OpenAIRE

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

    2017-01-01

    One of the important tasks in cancer research is to identify biomarkers and build classification models for clinical outcome prediction. In this paper, we develop a CyNetSVM software package, implemented in Java and integrated with Cytoscape as an app, to identify network biomarkers using network-constrained support vector machines (NetSVM). The Cytoscape app of NetSVM is specifically designed to improve the usability of NetSVM with the following enhancements: (1) user-friendly graphical user...

  12. A community of practice: librarians in a biomedical research network.

    Science.gov (United States)

    De Jager-Loftus, Danielle P; Midyette, J David; Harvey, Barbara

    2014-01-01

    Providing library and reference services within a biomedical research community presents special challenges for librarians, especially those in historically lower-funded states. These challenges can include understanding needs, defining and communicating the library's role, building relationships, and developing and maintaining general and subject specific knowledge. This article describes a biomedical research network and the work of health sciences librarians at the lead intensive research institution with librarians from primarily undergraduate institutions and tribal colleges. Applying the concept of a community of practice to a collaborative effort suggests how librarians can work together to provide effective reference services to researchers in biomedicine.

  13. Digital networks to aid research and education in Africa

    CERN Multimedia

    2005-01-01

    Around 120 participants were assembled over two days at CERN to discuss ways to bridge the digital divide with Africa. As part of efforts to implement the outcome of the first World Summit on the Information Society (WSIS), held in Geneva in 2003, CERN held the international workshop on Research and Education Networks in Africa, from 25 to 27 September. Organized by the United Nations University (UNU) in collaboration with the International Telecommunications Union (ITU) and CERN, this meeting was designed to promote scientific cooperation with and within Africa, through the development of networking infrastructure. Faster, reliable and more affordable Internet access is widely recognized as one of the key factors for enhancing research and education efforts in African academic and research institutions. For the first time, this workshop brought together representatives of all the key stakeholders: African academic and research institutions, international coordinators, funding agencies, grass-roots imple...

  14. Nutrigenetics in cancer research--folate metabolism and colorectal cancer.

    Science.gov (United States)

    Ulrich, Cornelia M

    2005-11-01

    The B vitamin folate is essential for one-carbon transfer reactions, including those related to the methylation of DNA or other substrates and nucleotide synthesis. Epidemiologic and experimental studies implicate low-folate intakes in elevated risk of colorectal neoplasia and suggest that biologic mechanisms underlying this relation include disturbances in DNA methylation patterns or adverse effects on DNA synthesis and repair. With the completion of the Human Genome Project, a vast amount of data on inherited genetic variability has become available. This genetic information can be used in studies of molecular epidemiology to provide information on multiple aspects of folate metabolism. First, studies linking polymorphisms in folate metabolism to an altered risk of cancer provide evidence for a causal link between this pathway and colorectal carcinogenesis. Second, studies on genetic characteristics can help clarify whether certain individuals may benefit from higher or lower intakes of folate or nutrients relevant to folate metabolism. Third, studies on genetic polymorphisms can generate hypotheses regarding possible biologic mechanisms that connect this pathway to carcinogenesis. Last, genetic variability in folate metabolism may predict survival after a cancer diagnosis, possibly via pharmacogenetic effects. To solve the puzzle of the folate-cancer relation, a transdisciplinary approach is needed that integrates knowledge from epidemiology, clinical studies, experimental nutrition, and mathematical modeling. This review illustrates knowledge that can be gained from molecular epidemiology in the context of nutrigenetics, and the questions that this approach can answer or raise.

  15. Caries treatment in a dental practice-based research network

    DEFF Research Database (Denmark)

    Gilbert, Gregg H; Gordan, Valeria V; Funkhouser, Ellen M

    2012-01-01

    OBJECTIVES: Practice-based research networks (PBRNs) provide a venue to foster evidence-based care. We tested the hypothesis that a higher level of participation in a dental PBRN is associated with greater stated change toward evidence-based practice. METHODS: A total of 565 dental PBRN...

  16. Networks as integrated in research methodologies in PER

    DEFF Research Database (Denmark)

    Bruun, Jesper

    2016-01-01

    In recent years a number of researchers within the PER community have started using network analysis as a new methodology to extend our understanding of teaching and learning physics by viewing these as complex systems. In this paper, I give examples of social, cognitive, and action mapping netwo...

  17. Understanding the meaning of awareness in Research Networks

    NARCIS (Netherlands)

    Reinhardt, Wolfgang; Mletzko, Christian; Sloep, Peter; Drachsler, Hendrik

    2013-01-01

    Reinhardt, W., Mletzko, C., Sloep, P. B., & Drachsler, H. (2012). Understanding the meaning of awareness in Research Networks. In A. Moore, V. Pammer, L. Pannese, M. Prilla, K. Rajagopal, W. Reinhardt, Th. D. Ullman, & Ch. Voigt (Eds.), Proceedings of the 2nd Workshop on Awareness and Reflection in

  18. The Integrated Distributed Virtual Research Network: An Introduction

    Science.gov (United States)

    2014-06-01

    Integrated Distributed Virtual Research Network (IDVRN) would not have become the valued resource it is for ARL. Thanks to Mr. Charlie Nietubicz, former...Jeanne Angelini, Dr. Loretta Moore, Dr. Adrienne Raglin, Dr. Alan Wetmore, and Leelinda Parker , deserves special recognition for its groundbreaking

  19. Higher Education Change and Social Networks: A Review of Research

    Science.gov (United States)

    Kezar, Adrianna

    2014-01-01

    This article reviews literature on the potential for understanding higher education change processes through social network analysis (SNA). In this article, the main tenets of SNA are reviewed and, in conjunction with organizational theory, are applied to higher education change to develop a set of hypotheses that can be tested in future research.

  20. Chinese Forest Ecosystem Research Network and Its Development

    Institute of Scientific and Technical Information of China (English)

    WANGBing; CUIXianghui; YANGFengwei

    2004-01-01

    Chinese Forest Ecosystem Research Network, estabfished in late 1950's and directly constructed and administered by the Science and Technology Department of State Forestry Administration of China,is a large ecology research network focuses on long-term ecosystem fixed-observation. It embodies 15 sites that represent diverse ecosystems and research priorities, including 6 state-level sites. CFERN Office coordinates communications, network publications, and research-planning activities. CFERN uses the advanced ground and spatial observation technologies such as RS, GPS, GIS to study the structure, functional laws and feedback mechanism of Chinese forest ecosystem, as well as its effects on China's social and economic development. The main tasks carried out by CFERN are: (1) construction of the database on the structure and functions of Chinese forest ecosystem and its ecological environmental factors; (2) the database construction of forest resources, ecological environment, water resources and related social economy in both regional and national scales; (3) the establishment of an evaluation system of forest ecological effects in China's main drainage areas; (4) the estabfishment of a forest environment monitoring network and a dynamic prediction and alarm system.

  1. Artificial Neural Networks in Policy Research: A Current Assessment.

    Science.gov (United States)

    Woelfel, Joseph

    1993-01-01

    Suggests that artificial neural networks (ANNs) exhibit properties that promise usefulness for policy researchers. Notes that ANNs have found extensive use in areas once reserved for multivariate statistical programs such as regression and multiple classification analysis and are developing an extensive community of advocates for processing text…

  2. Immunoregulatory network and cancer-associated genes: molecular links and relevance to aging

    Directory of Open Access Journals (Sweden)

    Robi Tacutu

    2011-09-01

    Full Text Available Although different aspects of cancer immunity are a subject of intensive investigation, an integrative view on the possible molecular links between immunoregulators and cancer-associated genes has not yet been fully considered. In an attempt to get more insights on the problem, we analyzed these links from a network perspective. We showed that the immunoregulators could be organized into a miRNA-regulated PPI network-the immunoregulatory network. This network has numerous links with cancer, including (i cancerassociated immunoregulators, (ii direct and indirect protein-protein interactions (through the common protein partners, and (iii common miRNAs. These links may largely determine the interactions between the host's immunity and cancer, supporting the possibility for co-expression and post-transcriptional co-regulation of immunoregulatory and cancer genes. In addition, the connection between immunoregulation and cancer may lie within the realm of cancer-predisposing conditions, such as chronic inflammation and fibroproliferative repair. A gradual, age-related deterioration of the integrity and functionality of the immunoregulaory network could contribute to impaired immunity and generation of cancer-predisposing conditions.

  3. Brain Cancer in Workers Employed at a Laboratory Research Facility.

    Directory of Open Access Journals (Sweden)

    James J Collins

    Full Text Available An earlier study of research facility workers found more brain cancer deaths than expected, but no workplace exposures were implicated.Adding four additional years of vital-status follow-up, we reassessed the risk of death from brain cancer in the same workforce, including 5,284 workers employed between 1963, when the facility opened, and 2007. We compared the work histories of the brain cancer decedents in relationship to when they died and their ages at death.As in most other studies of laboratory and research workers, we found low rates of total mortality, total cancers, accidents, suicides, and chronic conditions such as heart disease and diabetes. We found no new brain cancer deaths in the four years of additional follow-up. Our best estimate of the brain cancer standardized mortality ratio (SMR was 1.32 (95% confidence interval [95% CI] 0.66-2.37, but the SMR might have been as high as 1.69. Deaths from benign brain tumors and other non-malignant diseases of the nervous system were at or below expected levels.With the addition of four more years of follow-up and in the absence of any new brain cancers, the updated estimate of the risk of brain cancer death is smaller than in the original study. There was no consistent pattern among the work histories of decedents that indicated a common causative exposure.

  4. Pancreatic Cancer: Updates on Translational Research and Future Applications

    Directory of Open Access Journals (Sweden)

    Evangelos G Sarris

    2013-03-01

    Full Text Available Pancreatic cancer is one of the most lethal malignancies with a mortality rate almost equal to its incidence. It is ranked as the fourth leading cause of cancer-related deaths in the United States, and despite intensive basic and clinical research over the last few years, the survival benefit for the majority of patients with pancreatic cancer is still disappointing. Due to the absence of specific symptoms and the lack of early detection tests, pancreatic cancer is usually diagnosed at an advanced inoperrable stage and palliative chemotherapy with the purine analogue gemcitabine in combination with the targeted agent erlotinib, remains the mainstay method in the management of these patients. Therefore, there is an imperative need for new findings in the translational research field with prognostic, predictive and therapeutic value. In this paper we summarize five most interesting research abstracts as presented at the 2013 American Society of Clinical Oncology (ASCO Gastrointestinal Cancers Symposium. In particular, we focus on Abstract #141 which investigates the interaction between liver and pancreatic organ damage in patients with pancreatic cancer and the potential contribution of the patatin-like phospholipase domain containing 3 (PNPLA3 gene variation in pancreatic cancer development and on Abstract #149, in which, the prognostic and predictive role of SWI/SNF complex, a chromatin-remodeling complex, is examined. The key role of pharmacogenomics, in terms of predicting response and resistance to chemotherapy in pancreatic cancer patients, is analyzed in Abstract #142 and the contribution of circulating tumor cell detection in the early diagnosis of pancreatic cancer, allowing the avoidance of more invasive procedures like EUS-FNA, is discussed in Abstract #157. Lastly, in Abstract #164, the diagnostic utility of YKL-40 and IL-6 in pancreatic cancer patients is investigated.

  5. EARLINET: potential operationality of a research network

    Directory of Open Access Journals (Sweden)

    M. Sicard

    2015-07-01

    Full Text Available In the framework of ACTRIS summer 2012 measurement campaign (8 June–17 July 2012, EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated to the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time the Single-Calculus Chain (SCC, the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products, was used. All stations sent in real time measurements of 1 h of duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC while the optical processing was performed in near-real time after the exercise ended. 98 and 84 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on lidar data. The paper shows time series of continuous and homogeneously obtained products retrieved at different levels of the SCC: range-square corrected signals (pre-processing and daytime backscatter and nighttime extinction coefficient profiles (optical processing, as well as combined plots of all direct and derived optical products. The derived products include backscatter- and extinction-related Ångström exponents, lidar ratios and color ratios. The combined plots reveal extremely valuable for aerosol classification. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modelling, climate research and calibration/validation activities of spaceborne observations.

  6. EARLINET: potential operationality of a research network

    Science.gov (United States)

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

    2015-07-01

    In the framework of ACTRIS summer 2012 measurement campaign (8 June-17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated to the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time the Single-Calculus Chain (SCC), the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products, was used. All stations sent in real time measurements of 1 h of duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC while the optical processing was performed in near-real time after the exercise ended. 98 and 84 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on lidar data. The paper shows time series of continuous and homogeneously obtained products retrieved at different levels of the SCC: range-square corrected signals (pre-processing) and daytime backscatter and nighttime extinction coefficient profiles (optical processing), as well as combined plots of all direct and derived optical products. The derived products include backscatter- and extinction-related Ångström exponents, lidar ratios and color ratios. The combined plots reveal extremely valuable for aerosol classification. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modelling, climate research and calibration/validation activities of spaceborne observations.

  7. Epigenetic research in cancer epidemiology: trends, opportunities, and challenges.

    Science.gov (United States)

    Verma, Mukesh; Rogers, Scott; Divi, Rao L; Schully, Sheri D; Nelson, Stefanie; Joseph Su, L; Ross, Sharon A; Pilch, Susan; Winn, Deborah M; Khoury, Muin J

    2014-02-01

    Epigenetics is emerging as an important field in cancer epidemiology that promises to provide insights into gene regulation and facilitate cancer control throughout the cancer care continuum. Increasingly, investigators are incorporating epigenetic analysis into the studies of etiology and outcomes. To understand current progress and trends in the inclusion of epigenetics in cancer epidemiology, we evaluated the published literature and the National Cancer Institute (NCI)-supported research grant awards in this field to identify trends in epigenetics research. We present a summary of the epidemiologic studies in NCI's grant portfolio (from January 2005 through December 2012) and in the scientific literature published during the same period, irrespective of support from the NCI. Blood cells and tumor tissue were the most commonly used biospecimens in these studies, although buccal cells, cervical cells, sputum, and stool samples were also used. DNA methylation profiling was the focus of the majority of studies, but several studies also measured microRNA profiles. We illustrate here the current status of epidemiologic studies that are evaluating epigenetic changes in large populations. The incorporation of epigenomic assessments in cancer epidemiology studies has and is likely to continue to provide important insights into the field of cancer research.

  8. New Zealand needs a Practice Based Research Network.

    Science.gov (United States)

    Leitch, Sharon

    2016-03-01

    Practice Based Research Networks (PBRNs) are groups of general practices collaborating to produce research. Contemporary New Zealand health information technology systems are ideal for electronic data extraction for PBRN research. Stakeholders have a valuable, but typically underutilised, part to play in research. Development of an e-participation platform will facilitate stakeholder engagement. New Zealand is in a unique position to create an innovative, low cost, stakeholder-engaged PBRN. This type of PBRN would offer unparalleled research opportunities, and would strengthen New Zealand's general practice research capacity. The more research information we have based on our New Zealand population, the more appropriate care we can provide. Establishing a stakeholder-engaged PBRN in New Zealand will promote and support transformational change within our health system.

  9. Rethinking Interventionist Research: Navigating Oppositional Networks in a Danish Hospital

    Directory of Open Access Journals (Sweden)

    Niels Christian Nickelsen

    2009-01-01

    Full Text Available This article reports on a researcher's experience of being invited to improve upon an organisational situation in a hospital in Denmark. Being engaged with different networks of participants in the organisational situation, the researcher found himself wrapped up in various agendas, with different sections of the staff trying to persuade him to support their own respective interests. The article theorises these persuasions as "seductions." Consequently, the task of the researcher involves selecting, prioritising, and working upon his connections with various networks, while each continues to represent a different set of values, expectations, interests, and experiences. Based on this conceptualisation, the article interrogates the notion of interventionist research. Intervention is not limited only to a simple one-way causation where the interventionist does something useful in a studied field; it also involves engagement with multiple networks present in the field, each of which tries to seduce the researcher in order to befriend this potentially powerful collaborator. Using the term "interference," rather than intervention, to represent the researcher's action, the article suggests that the researcher is often not able to control the effect of his or her interference unilaterally. Neither is the researcher able to establish an overarching perspective which can be used to evaluate the final outcome. The article calls for fresh thinking on how a researcher may be engaged usefully in an organisational situation, working within the boundaries defined by the institutional logic, confronting the seductions from multiple sources, and still seeking to maintain a ground that justifies one's identity as a researcher.

  10. Promising Tools in Prostate Cancer Research

    DEFF Research Database (Denmark)

    Bonomo, Silvia; Hansen, Cecilie H; Petrunak, Elyse M

    2016-01-01

    Cytochrome P450 17A1 (CYP17A1) is an important target in the treatment of prostate cancer because it produces androgens required for tumour growth. The FDA has approved only one CYP17A1 inhibitor, abiraterone, which contains a steroidal scaffold similar to the endogenous CYP17A1 substrates...

  11. Evidence and research in rectal cancer.

    NARCIS (Netherlands)

    Valentini, V.; Beets-Tan, R.; Borras, J.M.; Krivokapic, Z.; Leer, J.W.H.; Pahlman, L.; Rodel, C.; Schmoll, H.J.; Scott, N.; Velde, C.V.; Verfaillie, C.

    2008-01-01

    The main evidences of epidemiology, diagnostic imaging, pathology, surgery, radiotherapy, chemotherapy and follow-up are reviewed to optimize the routine treatment of rectal cancer according to a multidisciplinary approach. This paper reports on the knowledge shared between different specialists inv

  12. Testicular Cancer Survivorship : Research Strategies and Recommendations

    NARCIS (Netherlands)

    Travis, Lois B.; 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

  13. What specifications for a centre or network of excellence in clinical research?

    Science.gov (United States)

    Diebolt, Vincent; Lang, Marie; Thoby, Frédérique

    2016-02-01

    The Giens 2015 Workshop Round Table entitled "What specifications for a centre or network of excellence in clinical research?" took a viewpoint distinct from earlier work and studies on changes in clinical research activities in France. The purpose of the present work was to identify, starting from concrete examples, the main strengths and advantages of clinical research activity in France related, in part, to the background environment and also to the specific characteristics of the investigation centres considered to be among the most high-performance units in activity. The criteria retained were grouped into a set of specifications that could be used to establish a "label of excellence" upon which the different teams and clinical research centres could model themselves. It was thus considered that belonging to a centre or structured network with at least a national configuration, when this is possible for the medial topic in question, constitutes a real advantage. Four benchmarks were identified: the scientific and clinical expertise of the head investigator, as well as the qualification and operational capacity of the centre's team; definition and measurement of performance using clearly displayed indicators and evaluation procedures; the quality of the overall trial "process" and of each of its component steps; communication, because know-how and promotion go hand in hand, with the main objective of informing the professional and general public about the value of the research centre meeting the above-mentioned criteria, about its networks of competencies, and more generally, about the important assets of the background of clinical research in France. This sector of research is funded by the public authorities via calls for public grants, financial aids for structures supporting clinical research in the University Hospital Centres and other healthcare institutions allowing for a professionalization of the research occupations, and the national public health

  14. Interdependent networks - Topological percolation research and application in finance

    Science.gov (United States)

    Zhou, Di

    This dissertation covers the two major parts of my Ph.D. research: i) developing a theoretical framework of complex networks and applying simulation and numerical methods to study the robustness of the network system, and ii) applying statistical physics concepts and methods to quantitatively analyze complex systems and applying the theoretical framework to study real-world systems. In part I, we focus on developing theories of interdependent networks as well as building computer simulation models, which includes three parts: 1) We report on the effects of topology on failure propagation for a model system consisting of two interdependent networks. We find that the internal node correlations in each of the networks significantly changes the critical density of failures, which can trigger the total disruption of the two-network system. Specifically, we find that the assortativity within a single network decreases the robustness of the entire system. 2) We study the percolation behavior of two interdependent scale-free (SF) networks under random failure of 1-p fraction of nodes. We find that as the coupling strength q between the two networks reduces from 1 (fully coupled) to 0 (no coupling), there exist two critical coupling strengths q1 and q2 , which separate the behaviors of the giant component as a function of p into three different regions, and for q2 economic systems. We analyze stock market indices and foreign exchange daily returns for 60 countries over the period of 1999-2012. We build a multi-layer network model based on different correlation measures, and introduce a dynamic network model to simulate and analyze the initializing and spreading of financial crisis. Using different computational approaches and econometric tests, we find atypical behavior of the cross correlations and community formations in the financial networks that we study during the financial crisis of 2008. For example, the overall correlation of stock market increases during crisis

  15. Research Trends in Wireless Visual Sensor Networks When Exploiting Prioritization

    Directory of Open Access Journals (Sweden)

    Daniel G. Costa

    2015-01-01

    Full Text Available The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power cameras for visual monitoring, a new scope of challenges is raised, demanding new research efforts. In this context, the resource-constrained nature of sensor nodes has demanded the use of prioritization approaches as a practical mechanism to lower the transmission burden of visual data over wireless sensor networks. Many works in recent years have considered local-level prioritization parameters to enhance the overall performance of those networks, but global-level policies can potentially achieve better results in terms of visual monitoring efficiency. In this paper, we make a broad review of some recent works on priority-based optimizations in wireless visual sensor networks. Moreover, we envisage some research trends when exploiting prioritization, potentially fostering the development of promising optimizations for wireless sensor networks composed of visual sensors.

  16. Research trends in wireless visual sensor networks when exploiting prioritization.

    Science.gov (United States)

    Costa, Daniel G; Guedes, Luiz Affonso; Vasques, Francisco; Portugal, Paulo

    2015-01-15

    The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power cameras for visual monitoring, a new scope of challenges is raised, demanding new research efforts. In this context, the resource-constrained nature of sensor nodes has demanded the use of prioritization approaches as a practical mechanism to lower the transmission burden of visual data over wireless sensor networks. Many works in recent years have considered local-level prioritization parameters to enhance the overall performance of those networks, but global-level policies can potentially achieve better results in terms of visual monitoring efficiency. In this paper, we make a broad review of some recent works on priority-based optimizations in wireless visual sensor networks. Moreover, we envisage some research trends when exploiting prioritization, potentially fostering the development of promising optimizations for wireless sensor networks composed of visual sensors.

  17. Bayesian network approach for modeling local failure in lung cancer

    Science.gov (United States)

    Oh, Jung Hun; Craft, Jeffrey; Al-Lozi, Rawan; Vaidya, Manushka; Meng, Yifan; Deasy, Joseph O; Bradley, Jeffrey D; Naqa, Issam El

    2011-01-01

    Locally advanced non-small cell lung cancer (NSCLC) patients suffer from a high local failure rate following radiotherapy. Despite many efforts to develop new dose-volume models for early detection of tumor local failure, there was no reported significant improvement in their application prospectively. Based on recent studies of biomarker proteins’ role in hypoxia and inflammation in predicting tumor response to radiotherapy, we hypothesize that combining physical and biological factors with a suitable framework could improve the overall prediction. To test this hypothesis, we propose a graphical Bayesian network framework for predicting local failure in lung cancer. The proposed approach was tested using two different datasets of locally advanced NSCLC patients treated with radiotherapy. The first dataset was collected retrospectively, which is comprised of clinical and dosimetric variables only. The second dataset was collected prospectively in which in addition to clinical and dosimetric information, blood was drawn from the patients at various time points to extract candidate biomarkers as well. Our preliminary results show that the proposed method can be used as an efficient method to develop predictive models of local failure in these patients and to interpret relationships among the different variables in the models. We also demonstrate the potential use of heterogenous physical and biological variables to improve the model prediction. With the first dataset, we achieved better performance compared with competing Bayesian-based classifiers. With the second dataset, the combined model had a slightly higher performance compared to individual physical and biological models, with the biological variables making the largest contribution. Our preliminary results highlight the potential of the proposed integrated approach for predicting post-radiotherapy local failure in NSCLC patients. PMID:21335651

  18. MicroRNAs – important molecules in lung cancer research

    Directory of Open Access Journals (Sweden)

    Petra eLeidinger

    2012-01-01

    Full Text Available MicroRNAs (miRNA are important regulators of gene expression. They are involved in many physiological processes ensuring the cellular homeostasis of human cells. Alterations of the miRNA expression have increasingly been associated with pathophysiological changes of cancer cells making miRNAs currently to one of the most analyzed molecules in cancer research. Here we provide an overview of miRNAs in lung cancer. Specifically, we address biological functions of miRNAs in lung cancer cells, miRNA signatures generated from tumor tissue and from patients’ body fluids, the potential of miRNAs as diagnostic and prognostic biomarker for lung cancer, and its role as therapeutical target.

  19. European network for research in global change (ENRICH)

    Energy Technology Data Exchange (ETDEWEB)

    Ghazi, A. [European Commission, Bruxelles (Belgium). DG XII/JRC

    1995-12-31

    While approaching the beginning of the twenty first century, the scientific community is faced with the formidable tasks of monitoring and detecting, understanding and predicting changes in the Earth System and its interactions with human beings. A crucial challenge is to make scientific research results accessible and usable for those involved in the decision making process related to the concept of Sustainable Development. Major international scientific programmes under the umbrella of ICSU, such as the IGBP and WCRP, are dealing with these issues. Although there exist many well developed global change research programmes in several European countries and effective collaboration networks between research institutes, there is an urgent need for overall communication with a view to promoting wider international links ensuring complementarity, synergy and coherence. Recognizing the importance of promoting coherence in research and utilising research results for various European Union (EU) policies, the European Commissioner responsible for Science, Research and Development wrote in March 1992 to all the EU Research Ministers to propose an initiative in this domain. In a rapid response, a group of Senior Experts from the EU Member States was set up in April 1992. This Group established a Task Force to develop the concept of the European Network for Research In Global CHange (ENRICH) which was approved in July 1993

  20. Energy Efficiency in Underwater Sensor Networks: a Research Review

    Directory of Open Access Journals (Sweden)

    V. Kanakaris

    2010-01-01

    Full Text Available In an energy-constrained underwater system environment it is very important to find ways to improve the life expectancy ofthe sensors. Compared to the sensors of a terrestrial Ad Hoc Wireless Sensor Network (WSN, underwater sensors cannotuse solar energy to recharge the batteries, and it is difficult to replace the batteries in the sensors. This paper reviews theresearch progress made to date in the area of energy consumption in underwater sensor networks (UWSN and suggestsfurther research that needs to be carried out in order to increase the energy efficiency of the UWSN system.

  1. Wireless networks and security issues, challenges and research trends

    CERN Document Server

    Pathan, Al-Sakib

    2013-01-01

     “Wireless Networks and Security” provides a broad coverage of wireless security issues including cryptographic coprocessors, encryption, authentication, key management, attacks and countermeasures, secure routing, secure medium access control, intrusion detection, epidemics, security performance analysis, security issues in applications. The contributions identify various vulnerabilities in the physical layer, MAC layer, network layer, transport layer, and application layer, and focus on ways of strengthening security mechanisms and services throughout the layers. This carefully edited monograph is targeting  for researchers, post-graduate students in universities, academics, and industry practitioners or professionals.  

  2. Research on Application of Neural Networks in Organizational Management

    Science.gov (United States)

    Marinescu, Simona-Ioana

    2014-12-01

    Since there is no clear definition of the terms "neural network" and "neuronal network", this paper is aimed primarily to establish the difference between them by a range of comparative research. Using a chart, the three parts that make up the structure of a neuron will be compared with the structure of an organization to determine who does in terms of role, in order to reproduce the neuron in the structuring level of an organization and give a meaning to the term of "organizational neuron."

  3. Network of Research Infrastructures for European Seismology (NERIES)

    Science.gov (United States)

    van Eck, T.; Giardini, D.; Bossu, R.; Wiemer, S.

    2008-12-01

    NERIES (Network of Research Infrastructures for European Seismology) is an Integrated Infrastructure Initiative (I3) project within the Sixth Framework Programme of the European Commission (EC). The project consortium consists of 25 participants from 13 different European countries. It is currently the largest earth science project ever funded by the EC. The goal of NERIES is to integrate European seismological observatories and research institutes into one integrated cyber-infrastructure for seismological data serving the research community, civil protection authorities and the general public. The EC provides funds for the networking and research. The participants provide the necessary hardware investments, mostly through national resources. NERIES consists of 13 subprojects (networking and research activities) and 5 facilities providing access through grants (Transnational Access). The project is coordinated by ORFEUS in close cooperation with the EMSC. The individual subprojects address different issues such as: extension of the Virtual European Broadband Seismic Network (VEBSN) from 140 to about 500 stations, implementing the core European Integrated Waveform Data Archive (EIDA) consisting of ODC-KNMI, GFZ, INGV and IPGP and a distributed archive of historical Data. Providing access to data gathered by acceleration networks within Europe and its surroundings and deploys Ocean Bottom Seismometers in coordination with relevant Ocean bottom projects like ESONET. Tot facilitate access to this diverse and distributed data NERIES invests a significant portion of its resources to implementing a portal for which a beta release is planned to be release in the autumn of 2008. The research project main goal is to produce products and tools facilitating data interpretation and analysis. These tools include a European reference (velocity) model, real-time hazard tools, shakemaps and lossmaps, site response determination software and tools, and automatic tools to manage and

  4. Pancreatic cancer: Translational research aspects and clinical implications

    Institute of Scientific and Technical Information of China (English)

    Daniel Ansari; Bi-Cheng Chen; Lei Dong; Meng-Tao Zhou; Roland Andersson

    2012-01-01

    Despite improvements in surgical techniques and adjuvant chemotherapy,the overall mortality rates in pancreatic cancer have generally remained relatively unchanged and the 5-year survival rate is actually below 2%.This paper will address the importance of achieving an early diagnosis and identifying markers for prognosis and response to therapy such as genes,proteins,microRNAs or epigenetic modifications.However,there are still major hurdles when translating investigational biomarkers into routine clinical practice.Furthermore,novel ways of secondary screening in high-risk individuals,such as artificial neural networks and modern imaging,will be discussed.Drug resistance is ubiquitous in pancreatic cancer.Several mechanisms of drug resistance have already been revealed,including human equilibrative nucleoside transporter-1 status,multidrug resistance proteins,aberrant signaling pathways,microRNAs,stromal influence,epithelial-mesenchymal transition-type cells and recently the presence of cancer stem cells/cancer-initiating cells.These factors must be considered when developing more customized types of intervention ("personalized medicine").In the future,multifunctional nanoparticles that combine a specific targeting agent,an imaging probe,a cell-penetrating agent,a biocompatible polymer and an anti-cancer drug may become valuable for the management of patients with pancreatic cancer.

  5. Acupuncture Research at Memorial Sloan Kettering Cancer Center.

    Science.gov (United States)

    Javdan, Bahar; Cassileth, Barrie

    2015-06-01

    Acupuncture may help treat specific cancer-related symptoms. Here, we summarize our clinical trials that sought to determine acupuncture's role in managing cancer-related symptoms. Trials have been conducted to determine acupuncture's ability to mitigate cancer-related symptoms including dyspnea, fatigue, xerostomia, lymphedema, hot flashes, postoperative ileus, pain and dysfunction after neck dissection, and postthoracotomy pain. Published studies indicate that acupuncture versus placebo acupuncture failed to reduce cancer-related dyspnea. Both true and sham acupuncture alleviated fatigue slightly, but no significant differences between groups emerged. Compared with sham acupuncture, our research showed that acupuncture significantly improved saliva production in patients with xerostomia and significantly reduced lymphedema patients' arm circumference in a pilot study. However, acupuncture failed to significantly reduce hot flashes and was no more successful than sham acupuncture in reducing postoperative ileus. Significant reductions in pain and dysfunction occurred in cancer patients after neck dissection. In a feasibility study, acupuncture was found to be acceptable to lung cancer patients and did not interfere with standard postoperative care. In summary, acupuncture is a potential candidate for the treatment of some important cancer-related symptoms. Large clinical trials and research to investigate mechanistic pathways are warranted.

  6. Summer Prostate Cancer Research Training Program

    Science.gov (United States)

    2015-07-01

    addition, contributed patients for study of circulating tumor cells before and after prostatectomy, and, more recently, helped to develop a prospective...gynecologic cancers and gestational disorders such as pre-eclampsia and pre-term birth. PLAC1 is expressed in numerous tissues during fetal development...exclusively in placental trophoblasts in reproductive age women and in gynecologic tumors. It is, thus, the only known example of an onco- fetal

  7. ESnet and Internet2 partner to deploy next generation network for scientific research and discovery

    CERN Multimedia

    2006-01-01

    "The Department of Energy's (DOE) Energy Sciences Network (ESnet) and Internet 2 - two of the nation's leading networking organizations for research - today announced a partnership to deploy a highly reliable, high capacity nationwide network.." (1,5 page)

  8. Cancer Prevention and Control Research Manpower Development

    Science.gov (United States)

    1999-10-01

    34 : problem areas such as self-care (Dodd & Dibble, lishing a multisite team to conduct research with a ’r 1993), communication ( Northouse & Wortman, 1990...Guidelines for collaborative research. Applied Nurs- Northouse , L.L., & Wortman, C.B. (1990). Models of helping and cop- ing Research, 2, 150-183. ing in

  9. Analyzing Enterprise Networks Needs: Action Research from the Mechatronics Sector

    Science.gov (United States)

    Cagnazzo, Luca; Taticchi, Paolo; Bidini, Gianni; Baglieri, Enzo

    New business models and theories are developing nowadays towards collaborative environments direction, and many new tools in sustaining companies involved in these organizations are emerging. Among them, a plethora of methodologies to analyze their needs are already developed for single companies. Few academic works are available about Enterprise Networks (ENs) need analysis. This paper presents the learning from an action research (AR) in the mechatronics sector: AR has been used in order to experience the issue of evaluating network needs and therefore define, develop, and test a complete framework for network evaluation. Reflection on the story in the light of the experience and the theory is presented, as well as extrapolation to a broader context and articulation of usable knowledge.

  10. [Research on Zhejiang blood information network and management system].

    Science.gov (United States)

    Yan, Li-Xing; Xu, Yan; Meng, Zhong-Hua; Kong, Chang-Hong; Wang, Jian-Min; Jin, Zhen-Liang; Wu, Shi-Ding; Chen, Chang-Shui; Luo, Ling-Fei

    2007-02-01

    This research was aimed to develop the first level blood information centralized database and real time communication network at a province area in China. Multiple technology like local area network database separate operation, real time data concentration and distribution mechanism, allopatric backup, and optical fiber virtual private network (VPN) were used. As a result, the blood information centralized database and management system were successfully constructed, which covers all the Zhejiang province, and the real time exchange of blood data was realised. In conclusion, its implementation promote volunteer blood donation and ensure the blood safety in Zhejiang, especially strengthen the quick response to public health emergency. This project lays the first stone of centralized test and allotment among blood banks in Zhejiang, and can serve as a reference of contemporary blood bank information systems in China.

  11. Understanding cancer complexome using networks, spectral graph theory and multilayer framework

    Science.gov (United States)

    Rai, Aparna; Pradhan, Priodyuti; Nagraj, Jyothi; Lohitesh, K.; Chowdhury, Rajdeep; Jalan, Sarika

    2017-02-01

    Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of network theory and spectral graph theory along with the multilayer analysis provides a comprehensive approach to analyze the proteomic data of seven different cancers, namely, breast, oral, ovarian, cervical, lung, colon and prostate. Our analysis demonstrates that the protein-protein interaction networks of the normal and the cancerous tissues associated with the seven cancers have overall similar structural and spectral properties. However, few of these properties implicate unsystematic changes from the normal to the disease networks depicting difference in the interactions and highlighting changes in the complexity of different cancers. Importantly, analysis of common proteins of all the cancer networks reveals few proteins namely the sensors, which not only occupy significant position in all the layers but also have direct involvement in causing cancer. The prediction and analysis of miRNAs targeting these sensor proteins hint towards the possible role of these proteins in tumorigenesis. This novel approach helps in understanding cancer at the fundamental level and provides a clue to develop promising and nascent concept of single drug therapy for multiple diseases as well as personalized medicine.

  12. Primary Hepatic Lymphoma: A Retrospective, Multicenter Rare Cancer Network Study

    Science.gov (United States)

    Ugurluer, Gamze; Miller, Robert C.; Li, Yexiong; Thariat, Juliette; Ghadjar, Pirus; Schick, Ulrike; Ozsahin, Mahmut

    2016-01-01

    Primary hepatic lymphoma (PHL) is a rare malignancy. We aimed to assess the clinical profile, outcome and prognostic factors in PHL through the Rare Cancer Network (RCN). A retrospective analysis of 41 patients was performed. Median age was 62 years (range, 23-86 years) with a male-to-female ratio of 1.9:1.0. Abdominal pain or discomfort was the most common presenting symptom. Regarding B-symptoms, 19.5% of patients had fever, 17.1% weight loss, and 9.8% night sweats. The most common radiological presentation was multiple lesions. Liver function tests were elevated in 56.1% of patients. The most common histopathological diagnosis was diffuse large B-cell lymphoma (65.9%). Most of the patients received Chop-like (cyclophosphamide, doxorubicin, vincristine, and prednisone) regimens; 4 patients received radiotherapy (dose range, 30.6-40.0 Gy). Median survival was 163 months, and 5- and 10-year overall survival rates were 77 and 59%, respectively. The 5- and 10-year disease-free and lymphoma-specific survival rates were 69, 56, 87 and 70%, respectively. Multivariate analysis revealed that fever, weight loss, and normal hemoglobin level were the independent factors influencing the outcome. In this retrospective multicenter RCN study, patients with PHL had a relatively better prognosis than that reported elsewhere. Multicenter prospective studies are still warranted to establish treatment guidelines, outcome, and prognostic factors. PMID:27746888

  13. Primary hepatic lymphoma: a retrospective, multicenter Rare Cancer Network study

    Directory of Open Access Journals (Sweden)

    Gamze Ugurluer

    2016-10-01

    Full Text Available Primary hepatic lymphoma (PHL is a rare malignancy. We aimed to assess the clinical profile, outcome and prognostic factors in PHL through the Rare Cancer Network (RCN. A retrospective analysis of 41 patients was performed. Median age was 62 years (range, 23- 86 years with a male-to-female ratio of 1.9:1.0. Abdominal pain or discomfort was the most common presenting symptom. Regarding B-symptoms, 19.5% of patients had fever, 17.1% weight loss, and 9.8% night sweats. The most common radiological presentation was multiple lesions. Liver function tests were elevated in 56.1% of patients. The most common histopathological diagnosis was diffuse large B-cell lymphoma (65.9%. Most of the patients received Chop-like (cyclophosphamide, doxorubicin, vincristine, and prednisone regimens; 4 patients received radiotherapy (dose range, 30.6-40.0 Gy. Median survival was 163 months, and 5- and 10-year overall survival rates were 77 and 59%, respectively. The 5- and 10-year disease-free and lymphoma-specific survival rates were 69, 56, 87 and 70%, respectively. Multivariate analysis revealed that fever, weight loss, and normal hemoglobin level were the independent factors influencing the outcome. In this retrospective multicenter RCN study, patients with PHL had a relatively better prognosis than that reported elsewhere. Multicenter prospective studies are still warranted to establish treatment guidelines, outcome, and prognostic factors.

  14. Classification of breast cancer cytological specimen using convolutional neural network

    Science.gov (United States)

    Żejmo, Michał; Kowal, Marek; Korbicz, Józef; Monczak, Roman

    2017-01-01

    The paper presents a deep learning approach for automatic classification of breast tumors based on fine needle cytology. The main aim of the system is to distinguish benign from malignant cases based on microscopic images. Experiment was carried out on cytological samples derived from 50 patients (25 benign cases + 25 malignant cases) diagnosed in Regional Hospital in Zielona Góra. To classify microscopic images, we used convolutional neural networks (CNN) of two types: GoogLeNet and AlexNet. Due to the very large size of images of cytological specimen (on average 200000 × 100000 pixels), they were divided into smaller patches of size 256 × 256 pixels. Breast cancer classification usually is based on morphometric features of nuclei. Therefore, training and validation patches were selected using Support Vector Machine (SVM) so that suitable amount of cell material was depicted. Neural classifiers were tuned using GPU accelerated implementation of gradient descent algorithm. Training error was defined as a cross-entropy classification loss. Classification accuracy was defined as the percentage ratio of successfully classified validation patches to the total number of validation patches. The best accuracy rate of 83% was obtained by GoogLeNet model. We observed that more misclassified patches belong to malignant cases.

  15. Revisiting practice-based research networks as a platform for mental health services research.

    Science.gov (United States)

    Curtis McMillen, J; Lenze, Shannon L; Hawley, Kristin M; Osborne, Victoria A

    2009-09-01

    Practice-based research networks (PBRNs)-collaborations of practice settings that work together to generate research knowledge-are underused in mental health services research. This article proposes an agenda for mental health services research that uses a variety of PBRN structures and that focuses on what really happens in practice, the effectiveness of practice innovations in real world care, the challenges of implementing evidence supported interventions, modification of clinician behavior, and assessment of the effect of mental health policy changes on practice. The challenges of conducting research within PBRNs are substantial, including difficulties in maintaining positive member relations, securing ongoing funding, sustaining productivity, overcoming IRB entanglements and achieving both scientific excellence in recruitment and measurement validity and utility for practitioner members. However, the awareness of these challenges allows researchers and practitioners to build networks that creatively overcome them and that infuse mental health services research with heavy doses of the realities of everyday clinical practice.

  16. Practice based research networks impacting periodontal care: PEARL Initiative.

    Science.gov (United States)

    Curro, Frederick A; Thompson, Van P; Grill, Ashley; Vena, Don; Terracio, Louis; Naftolin, Frederick

    2013-05-01

    In 2005, the National Institute of Dental and Craniofacial Research /National Institutes of Health funded the largest initiative to date to affect change in the delivery of oral care. This commentary provides the background for the first study related to periodontics in a Practice Based Research Network (PBRN). It was conducted in the Practitioners Engaged in Applied Research & Learning (PEARL) Network. The PEARL Network is headquartered at New York University College of Dentistry. The basic tenet of the PBRN initiative is to engage clinicians to participate in clinical studies, where they will be more likely to accept the results and to incorporate the findings into their practices. This process may reduce the translational gap that exists between new findings and the time it takes for them to be incorporated into clinical practice. The cornerstone of the PBRN studies is to conduct comparative effectiveness research studies to disseminate findings to the profession and improve care. This is particularly important because the majority of dentists practice independently. Having practitioners generate clinical data allows them to contribute in the process of knowledge development and incorporate the results in their practice to assist in closing the translational gap. With the advent of electronic health systems on the horizon, dentistry may be brought into the mainstream health care paradigm and the PBRN concept can serve as the skeletal framework for advancing the profession provided there is consensus on the terminology used.

  17. Identification of key genes associated with colorectal cancer based on the transcriptional network.

    Science.gov (United States)

    Chen, Guoting; Li, Hengping; Niu, Xianping; Li, Guofeng; Han, Ning; Li, Xin; Li, Guang; Liu, Yangzhou; Sun, Guixin; Wang, Yong; Li, Zengchun; Li, Qinchuan

    2015-07-01

    Colorectal cancer (CRC) is among the most lethal human cancers, but the mechanism of the cancer is still unclear enough. We aimed to explore the key genes in CRC progression. The gene expression profile (GSE4183) of CRC was obtained from Gene Expression Omnibus database which included 8 normal samples, 15 adenoma samples, 15 CRC samples and 15 inflammatory bowel disease (IBD) samples. Thereinto, 8 normal, 15 adenoma, and 15 CRC samples were chosen for our research. The differentially expressed genes (DEGs) in normal vs. adenoma, normal vs. CRC, and adenoma vs. CRC, were identified using the Wilcoxon test method in R respectively. The interactive network of DEGs was constructed to select the significant modules using the Pearson's correlation. Meanwhile, transcriptional network of DEGs was also constructed using the g: Profiler. Totally, 2,741 DEGs in normal vs. adenoma, 1,484 DEGs in normal vs. CRC, and 396 DEGs in adenoma vs. CRC were identified. Moreover, function analysis of DEGs in each group showed FcR-mediated phagocytosis pathway in module 1, cardiac muscle contraction pathway in module 6, and Jak-STAT signaling pathway in module 19 were also enriched. Furthermore, MZF1 and AP2 were the transcription factor in module 6, with the target SP1, while SP1 was also a transcription in module 20. DEGs like NCF1, AKT, SP1, AP2, MZF1, and TPM might be used as specific biomarkers in CRC development. Therapy targeting on the functions of these key genes might provide novel perspective for CRC treatment.

  18. Interactive Naive Bayesian network: A new approach of constructing gene-gene interaction network for cancer classification.

    Science.gov (United States)

    Tian, Xue W; Lim, Joon S

    2015-01-01

    Naive Bayesian (NB) network classifier is a simple and well-known type of classifier, which can be easily induced from a DNA microarray data set. However, a strong conditional independence assumption of NB network sometimes can lead to weak classification performance. In this paper, we propose a new approach of interactive naive Bayesian (INB) network to weaken the conditional independence of NB network and classify cancers using DNA microarray data set. We selected the differently expressed genes (DEGs) to reduce the dimension of the microarray data set. Then, an interactive parent which has the biggest influence among all DEGs is searched for each DEG. And then we calculate a weight to represent the interactive relationship between a DEG and its parent. Finally, the gene-gene interaction network is constructed. We experimentally test the INB network in terms of classification accuracy using leukemia and colon DNA microarray data sets, then we compare it with the NB network. The INB network can get higher classification accuracies than NB network. And INB network can show the gene-gene interactions visually.

  19. Multimorbidity and cancer outcomes: a need for more research

    Directory of Open Access Journals (Sweden)

    Sørensen HT

    2013-11-01

    Full Text Available Henrik Toft Sørensen Editor in Chief Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, DenmarkCancer incidence increases with age, and about 43% of men and 30% of women aged 65 will develop cancer in their remaining lifetimes.1 The global population is rapidly aging, and by 2030 about 70% of cancer in, for example, the US, will be diagnosed in older patients.2 Fortunately, cancer survival has improved and 5-year survival exceeds 80% for many common cancers.3 As a result of these two complementary trends, the population of cancer survivors is growing at a rate of almost 2% per year.4As comorbidities accumulate with age, the number of patients with multimorbidity, ie, the coexistence of several chronic diseases, is increasing dramatically.5 In the US, about 80% of Medicare funds are spent on patients with four or more chronic conditions. Multimorbidity is associated with mortality, disability, low functional status, and risks of adverse drug events.6,7Clinical and epidemiological research on cancer prognosis has mainly focused on cancers in isolation, ignoring the impact of comorbidity and co-medication on the risk of complications and mortality. Comorbidity is a medical condition that exists at the time of diagnosis of the cancer or later, but which is not a consequence of the cancer itself.8Comorbidity is common in cancer patients, who often have adverse lifestyle factors such as alcohol use, obesity, and smoking, which cause other chronic diseases. Thus, many cancer patients have chronic disorders such as chronic obstructive pulmonary disease, acute myocardial infarction, stroke, metabolic syndrome, and osteoporosis.9–13 With the growing population of elderly patients with cancer and other chronic diseases, modern medicine will need to address multiple medical problems at once, focusing on mortality, treatment complications, quality of life, and implications for screening.7,14 In this issue of Clinical Epidemiology

  20. Cancer immunotherapy out of the gate: the 22nd annual Cancer Research Institute International Immunotherapy Symposium.

    Science.gov (United States)

    Tontonoz, Matthew; Gee, Connie E

    2015-05-01

    The 22nd annual Cancer Research Institute (CRI) International Immunotherapy Symposium was held from October 5-8, 2014, in New York City. Titled "Cancer Immunotherapy: Out of the Gate," the symposium began with a Cancer Immunotherapy Consortium satellite meeting focused on issues in immunotherapy drug development, followed by five speaker sessions and a poster session devoted to basic and clinical cancer immunology research. The second annual William B. Coley lecture was delivered by Lieping Chen, one of the four recipients of the 2014 William B. Coley Award for Distinguished Research in Tumor Immunology; the other three recipients were Gordon Freeman, Tasuku Honjo, and Arlene Sharpe. Prominent themes of the conference were the use of genomic technologies to identify neoantigens and the emergence of new immune modulatory molecules, beyond CTLA-4 and PD-1/PD-L1, as new therapeutic targets for immunotherapy.

  1. Integrating Heterogeneous Biomedical Data for Cancer Research: the CARPEM infrastructure

    OpenAIRE

    2016-01-01

    Summary Cancer research involves numerous disciplines. The multiplicity of data sources and their heterogeneous nature render the integration and the exploration of the data more and more complex. Translational research platforms are a promising way to assist scientists in these tasks. In this article, we identify a set of scientific and technical principles needed to build a translational research platform compatible with ethical requirements, data protection and data-integration problems. W...

  2. 'Connecting tracks': exploring the roles of an Aboriginal women's cancer support network.

    Science.gov (United States)

    Cuesta-Briand, Beatriz; Bessarab, Dawn; Shahid, Shaouli; Thompson, Sandra C

    2016-11-01

    Aboriginal Australians are at higher risk of developing certain types of cancer and, once diagnosed, they have poorer outcomes than their non-Aboriginal counterparts. Lower access to cancer screening programmes, deficiencies in treatment and cultural barriers contribute to poor outcomes. Additional logistical factors affecting those living in rural areas compound these barriers. Cancer support groups have positive effects on people affected by cancer; however, there is limited evidence on peer-support programmes for Aboriginal cancer patients in Australia. This paper explores the roles played by an Aboriginal women's cancer support network operating in a regional town in Western Australia. Data were collected through semi-structured interviews with 24 participants including Aboriginal and mainstream healthcare service providers, and network members and clients. Interviews were audiotaped and transcribed verbatim. Transcripts were subjected to inductive thematic analysis. Connecting and linking people and services was perceived as the main role of the network. This role had four distinct domains: (i) facilitating access to cancer services; (ii) fostering social interaction; (iii) providing a culturally safe space; and (iv) building relationships with other agencies. Other network roles included providing emotional and practical support, delivering health education and facilitating engagement in cancer screening initiatives. Despite the network's achievements, unresolved tensions around role definition negatively impacted on the working relationship between the network and mainstream service providers, and posed a threat to the network's sustainability. Different perspectives need to be acknowledged and addressed in order to build strong, effective partnerships between service providers and Aboriginal communities. Valuing and honouring the Aboriginal approaches and expertise, and adopting an intercultural approach are suggested as necessary to the way forward.

  3. Undergraduate Research Experiences with the Global Telescope Network

    Science.gov (United States)

    McLin, Kevin M.; Wyman, K.; Broughton, N.; Coble, K.; Cominsky, L. R.

    2009-01-01

    Students at Chicago State University and Sonoma State University have undertaken observational programs using telescopes of the Global Telescope Network (GTN) and SkyNet. The GTN is a network of small telescopes funded by GLAST to support the science of high energy astrophysics missions, specifically GLAST, Swift and XMM-Newton. It is managed by the NASA E/PO Group at Sonoma State University. SkyNet encompasses a network  of small telescopes managed from the University of North Carolina to catch gamma ray burst afterglows. A primary motivator behind both networks is education. In the program outlined here, undergraduate students will schedule, reduce and analyze observations of active galaxies and other targets. Students will then present their work as part of observational course work, or in some cases as a "capstone” research experience required for graduation. This work will give the students direct experience with several aspects of scientific research, including literature searches, data acquisition and analysis, and reporting of results.

  4. Transduction motif analysis of gastric cancer based on a human signaling network

    Energy Technology Data Exchange (ETDEWEB)

    Liu, G.; Li, D.Z.; Jiang, C.S.; Wang, W. [Fuzhou General Hospital of Nanjing Command, Department of Gastroenterology, Fuzhou, China, Department of Gastroenterology, Fuzhou General Hospital of Nanjing Command, Fuzhou (China)

    2014-04-04

    To investigate signal regulation models of gastric cancer, databases and literature were used to construct the signaling network in humans. Topological characteristics of the network were analyzed by CytoScape. After marking gastric cancer-related genes extracted from the CancerResource, GeneRIF, and COSMIC databases, the FANMOD software was used for the mining of gastric cancer-related motifs in a network with three vertices. The significant motif difference method was adopted to identify significantly different motifs in the normal and cancer states. Finally, we conducted a series of analyses of the significantly different motifs, including gene ontology, function annotation of genes, and model classification. A human signaling network was constructed, with 1643 nodes and 5089 regulating interactions. The network was configured to have the characteristics of other biological networks. There were 57,942 motifs marked with gastric cancer-related genes out of a total of 69,492 motifs, and 264 motifs were selected as significantly different motifs by calculating the significant motif difference (SMD) scores. Genes in significantly different motifs were mainly enriched in functions associated with cancer genesis, such as regulation of cell death, amino acid phosphorylation of proteins, and intracellular signaling cascades. The top five significantly different motifs were mainly cascade and positive feedback types. Almost all genes in the five motifs were cancer related, including EPOR, MAPK14, BCL2L1, KRT18, PTPN6, CASP3, TGFBR2, AR, and CASP7. The development of cancer might be curbed by inhibiting signal transductions upstream and downstream of the selected motifs.

  5. Public figure announcements about cancer and opportunities for cancer communication: a review and research agenda.

    Science.gov (United States)

    Noar, Seth M; Willoughby, Jessica Fitts; Myrick, Jessica Gall; Brown, Jennifer

    2014-01-01

    Announcements by public figures and celebrities about cancer diagnosis or death represent significant events in public life. But what are the substantive effects of such events, if any? The purpose of this article is to systematically review studies that examined the impact of public figure cancer announcements on cancer-oriented outcomes. Using comprehensive search procedures, we identified k = 19 studies that examined 11 distinct public figures. The most commonly studied public figures were Jade Goody, Kylie Minogue, Nancy Reagan, and Steve Jobs, with the most common cancers studied being breast (53%), cervical (21%), and pancreatic (21%) cancer. Most studies assessed multiple outcome variables, including behavioral outcomes (k = 15), media coverage (k = 10), information seeking (k = 8), cancer incidence (k = 3), and interpersonal communication (k = 2). Results fairly consistently indicated that cancer announcements from public figures had meaningful effects on many, if not most, of these outcome variables. While such events essentially act as naturally occurring interventions, the effects tend to be relatively short term. Gaps in this literature include few contemporary studies of high-profile public figures in the United States and a general lack of theory-based research. Directions for future research as well as implications for cancer communication and prevention are discussed.

  6. Multispecies networks: visualizing the psychological research of the Committee for Research in Problems of Sex.

    Science.gov (United States)

    Pettit, Michael; Serykh, Darya; Green, Christopher D

    2015-03-01

    In our current moment, there is considerable interest in networks, in how people and things are connected. This essay outlines one approach that brings together insights from actor-network theory, social network analysis, and digital history to interpret past scientific activity. Multispecies network analysis (MNA) is a means of understanding the historical interactions among scientists, institutions, and preferred experimental animals. A reexamination of studies of sexual behavior funded by the Committee for Research in Problems of Sex between the 1920s and the 1940s demonstrates the applicability of MNA to clarifying the relations that sustained this area of psychology. The measures of weighted degree and betweenness can highlight which nodes (whether organisms or institutions) were particularly "central" to this network. Rats featured as the animals most widely studied during this period, but the analysis also reveals distinct institutional and disciplinary cultures where different species were favored as either surrogates for humans or representatives of more general biological groups.

  7. Network of nanomedicine researches: impact of Iranian scientists

    Directory of Open Access Journals (Sweden)

    Mohammad-Hossein Biglu

    2015-12-01

    Methods: The Web of Science database was used to extract all papers indexed as a topic of nanomedicine through 2002-2014. The Science of Science Tool was used to map the co-authorship network of papers. Results: Total number of papers extracted from the Web of Science in the field of nanomedicine was 3092 through 2002-2014. Analysis of data showed that the research activities in the field of nanomedicine increased steadily through the period of study. USA, China, and India were the most prolific countries in the field. The dominant language of publications was English. The co-authorship connection revealed a network with a density of 0.0006. Conclusion: Nanomedicine researches have markedly been increased in Iran. Ninety-five percent of Iranian papers were cooperated with multi-authors. The collaboration coefficient degree was 0.731.

  8. A survey of etiologic hypotheses among testicular cancer researchers.

    Science.gov (United States)

    Stang, A; Trabert, B; Rusner, C; Poole, C; Almstrup, K; Rajpert-De Meyts, E; McGlynn, K A

    2015-01-01

    Basic research results can provide new ideas and hypotheses to be examined in epidemiological studies. We conducted a survey among testicular cancer researchers on hypotheses concerning the etiology of this malignancy. All researchers on the mailing list of Copenhagen Testis Cancer Workshops and corresponding authors of PubMed-indexed articles identified by the search term 'testicular cancer' and published within 10 years (in total 2750 recipients) were invited to respond to an e-mail-based survey. Participants of the 8th Copenhagen Testis Cancer Workshop in May 2014 were subsequently asked to rate the plausibility of the suggested etiologic hypotheses on a scale of 1 (very implausible) to 10 (very plausible). This report describes the methodology of the survey, the score distributions by individual hypotheses, hypothesis group, and the participants' major research fields, and discuss the hypotheses that scored as most plausible. We also present plans for improving the survey that may be repeated at a next international meeting of experts in testicular cancer. Overall 52 of 99 (53%) registered participants of the 8th Copenhagen Testis Cancer Workshop submitted the plausibility rating form. Fourteen of 27 hypotheses were related to exposures during pregnancy. Hypotheses with the highest mean plausibility ratings were either related to pre-natal exposures or exposures that might have an effect during pregnancy and in post-natal life. The results of the survey may be helpful for triggering more specific etiologic hypotheses that include factors related to endocrine disruption, DNA damage, inflammation, and nutrition during pregnancy. The survey results may stimulate a multidisciplinary discussion about new etiologic hypotheses of testicular cancer.

  9. Research Donor Program Needs Your Help to Advance Cancer and AIDS Research | Poster

    Science.gov (United States)

    NCI at Frederick employees have a unique opportunity to contribute directly to cancer and AIDS research by donating blood, saliva, and other samples through the Research Donor Program (RDP). Donors are compensated for their time, which is typically between 10 and 30 minutes. The RDP, which is administered by Occupational Health Services (OHS), Leidos Biomedical Research, provides samples from healthy donors for use in in vitro research conducted at NCI at Frederick and Fort Detrick. Samples are provided anonymously to researchers.

  10. Artificial intelligence techniques for colorectal cancer drug metabolism: ontology and complex network.

    Science.gov (United States)

    Martínez-Romero, Marcos; Vázquez-Naya, José M; Rabuñal, Juan R; Pita-Fernández, Salvador; Macenlle, Ramiro; Castro-Alvariño, Javier; López-Roses, Leopoldo; Ulla, José L; Martínez-Calvo, Antonio V; Vázquez, Santiago; Pereira, Javier; Porto-Pazos, Ana B; Dorado, Julián; Pazos, Alejandro; Munteanu, Cristian R

    2010-05-01

    Colorectal cancer is one of the most frequent types of cancer in the world and generates important social impact. The understanding of the specific metabolism of this disease and the transformations of the specific drugs will allow finding effective prevention, diagnosis and treatment of the colorectal cancer. All the terms that describe the drug metabolism contribute to the construction of ontology in order to help scientists to link the correlated information and to find the most useful data about this topic. The molecular components involved in this metabolism are included in complex network such as metabolic pathways in order to describe all the molecular interactions in the colorectal cancer. The graphical method of processing biological information such as graphs and complex networks leads to the numerical characterization of the colorectal cancer drug metabolic network by using invariant values named topological indices. Thus, this method can help scientists to study the most important elements in the metabolic pathways and the dynamics of the networks during mutations, denaturation or evolution for any type of disease. This review presents the last studies regarding ontology and complex networks of the colorectal cancer drug metabolism and a basic topology characterization of the drug metabolic process sub-ontology from the Gene Ontology.

  11. Boolean Network Model for Cancer Pathways: Predicting Carcinogenesis and Targeted Therapy Outcomes

    Science.gov (United States)

    Fumiã, Herman F.; Martins, Marcelo L.

    2013-01-01

    A Boolean dynamical system integrating the main signaling pathways involved in cancer is constructed based on the currently known protein-protein interaction network. This system exhibits stationary protein activation patterns – attractors – dependent on the cell's microenvironment. These dynamical attractors were determined through simulations and their stabilities against mutations were tested. In a higher hierarchical level, it was possible to group the network attractors into distinct cell phenotypes and determine driver mutations that promote phenotypic transitions. We find that driver nodes are not necessarily central in the network topology, but at least they are direct regulators of central components towards which converge or through which crosstalk distinct cancer signaling pathways. The predicted drivers are in agreement with those pointed out by diverse census of cancer genes recently performed for several human cancers. Furthermore, our results demonstrate that cell phenotypes can evolve towards full malignancy through distinct sequences of accumulated mutations. In particular, the network model supports routes of carcinogenesis known for some tumor types. Finally, the Boolean network model is employed to evaluate the outcome of molecularly targeted cancer therapies. The major find is that monotherapies were additive in their effects and that the association of targeted drugs is necessary for cancer eradication. PMID:23922675

  12. Frontiers in cancer epidemiology: a challenge to the research community from the Epidemiology and Genomics Research Program at the National Cancer Institute.

    Science.gov (United States)

    Khoury, Muin J; Freedman, Andrew N; Gillanders, Elizabeth M; Harvey, Chinonye E; Kaefer, Christie; Reid, Britt C; Rogers, Scott; Schully, Sheri D; Seminara, Daniela; Verma, Mukesh

    2012-07-01

    The Epidemiology and Genomics Research Program (EGRP) at the National Cancer Institute (NCI) is developing scientific priorities for cancer epidemiology research in the next decade. We would like to engage the research community and other stakeholders in a planning effort that will include a workshop in December 2012 to help shape new foci for cancer epidemiology research. To facilitate the process of defining the future of cancer epidemiology, we invite the research community to join in an ongoing web-based conversation at http://blog-epi.grants.cancer.gov/ to develop priorities and the next generation of high-impact studies.

  13. [Scientific production and cancer-related collaboration networks in Peru 2000-2011: a bibliometric study in Scopus and Science Citation Index].

    Science.gov (United States)

    Mayta-Tristán, Percy; Huamaní, Charles; Montenegro-Idrogo, Juan José; Samanez-Figari, César; González-Alcaide, Gregorio

    2013-03-01

    A bibliometric study was carried out to describe the scientific production on cancer written by Peruvians and published in international health journals, as well as to assess the scientific collaboration networks. It included articles on cancer written in Peru between the years 2000 and 2011 and published in health journals indexed in SCOPUS or Science Citation Index Expanded. In the 358 articles identified, an increase in the production was seen, from 4 articles in 2000 to 57 in 2011.The most studied types were cervical cancer (77 publications); breast cancer (53), and gastric cancer (37). The National Institute of Neoplastic Diseases (INEN) was the most productive institution (121 articles) and had the highest number of collaborations (180 different institutions). 52 clinical trials were identified, 29 of which had at least one author from INEN. We can conclude that, cancer research is increasing in Peru, the INEN being the most productive institution, with an important participation in clinical trials.

  14. Characterization of the Usage of the Serine Metabolic Network in Human Cancer

    Directory of Open Access Journals (Sweden)

    Mahya Mehrmohamadi

    2014-11-01

    Full Text Available The serine, glycine, one-carbon (SGOC metabolic network is implicated in cancer pathogenesis, but its general functions are unknown. We carried out a computational reconstruction of the SGOC network and then characterized its expression across thousands of cancer tissues. Pathways including methylation and redox metabolism exhibited heterogeneous expression indicating a strong context dependency of their usage in tumors. From an analysis of coexpression, simultaneous up- or downregulation of nucleotide synthesis, NADPH, and glutathione synthesis was found to be a common occurrence in all cancers. Finally, we developed a method to trace the metabolic fate of serine using stable isotopes, high-resolution mass spectrometry, and a mathematical model. Although the expression of single genes didn’t appear indicative of flux, the collective expression of several genes in a given pathway allowed for successful flux prediction. Altogether, these findings identify expansive and heterogeneous functions for the SGOC metabolic network in human cancer.

  15. CRISPR-Cas9: from Genome Editing to Cancer Research.

    Science.gov (United States)

    Chen, Si; Sun, Heng; Miao, Kai; Deng, Chu-Xia

    2016-01-01

    Cancer development is a multistep process triggered by innate and acquired mutations, which cause the functional abnormality and determine the initiation and progression of tumorigenesis. Gene editing is a widely used engineering tool for generating mutations that enhance tumorigenesis. The recent developed clustered regularly interspaced short palindromic repeats-CRISPR-associated 9 (CRISPR-Cas9) system renews the genome editing approach into a more convenient and efficient way. By rapidly introducing genetic modifications in cell lines, organs and animals, CRISPR-Cas9 system extends the gene editing into whole genome screening, both in loss-of-function and gain-of-function manners. Meanwhile, the system accelerates the establishment of animal cancer models, promoting in vivo studies for cancer research. Furthermore, CRISPR-Cas9 system is modified into diverse innovative tools for observing the dynamic bioprocesses in cancer studies, such as image tracing for targeted DNA, regulation of transcription activation or repression. Here, we view recent technical advances in the application of CRISPR-Cas9 system in cancer genetics, large-scale cancer driver gene hunting, animal cancer modeling and functional studies.

  16. Involvement of the CREB5 regulatory network in colorectal cancer metastasis.

    Science.gov (United States)

    Qi, Lu; Ding, Yanqing

    2014-07-01

    The signal regulatory network involved in colorectal cancer metastasis is complicated and thus the search for key control steps in the network is of great significance for unraveling colorectal cancer metastasis mechanism and finding drug-target site. Previous studies suggested that CREB5 (cAMP responsive element binding protein 5) might play key role in the metastatic signal network of colorectal cancer. Through colorectal cancer expression profile and enriching analysis of the effect of CREB5 gene expression levels on colorectal cancer molecular events, we found that these molecular events are correlated with tumor metastasis. Based on the feature that CREB5 could combine with c-Jun to form heterodimer, together with enriched binding sites for transcription factor AP-1, we identified 16 genes which were up-regulated in the CREB5 high-expression group, contained AP-1 binding sites, and participated in cancer pathway. The molecular network involving these 16 genes, in particular, CSF1R, MMP9, PDGFRB, FIGF and IL6, regulates cell migration. Therefore, CREB5 might accelerate the metastasis of colorectal cancer by regulating these five key genes.

  17. 75 FR 55360 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-10

    ... Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010 Strategic Plan AGENCY: The National Coordination Office (NCO) for Networking and Information Technology Research.... EDT on October 11, 2010. SUMMARY: With this notice, the National Coordination Office for...

  18. Advanced Research on Circulating Tumor Cells in Lung Cancer

    Directory of Open Access Journals (Sweden)

    Hui LI

    2012-11-01

    Full Text Available Lung cancer is the malignant disease with the highest rate in terms of incidence and mortality in China. Early diagnosis and timely monitoring tumor recurrence and metastasis are extremely important for improving 5-year survival rate of lung cancer patients. Circulating tumor cells (CTCs, as a "liquid biopsy specimens” for the primary tumor, provide the possibility to perform real-time, non-invasive histological identification for lung cancer patients. The detection of CTCs contributes to early diagnosis, surveillance of tumor recurrence and metastasis, and prediction of therapeutic efficacy and prognosis. Furthermore, CTCs-dependent detection emerges as a new approach for molecularly pathologic examination, study of molecular mechanisms involved in drug resistance, and resolution for tumor heterogeneity. This study reviewed the recent progress of CTCs in lung cancer research field.

  19. Research advances in traditional Chinese medicine syndromes in cancer patients.

    Science.gov (United States)

    Ji, Qing; Luo, Yun-quan; Wang, Wen-hai; Liu, Xuan; Li, Qi; Su, Shi-bing

    2016-01-01

    Traditional Chinese medicine (TCM) syndrome, also known as TCM ZHENG or TCM pattern, is an integral and essential part of TCM theory that helps to guide the design of individualized treatments. A TCM syndrome, in essence, is a characteristic profile of all clinical manifestations in one patient that can be readily identified by a TCM practitioner. In this article, the authors reviewed the presentations of TCM syndromes in seven common malignancies (liver, lung, gastric, breast, colorectal, pancreatic and esophageal cancers), the objectivity and the standardization of TCM syndrome differentiation, the evaluation of TCM syndrome modeling in cancer research, and syndrome differentiation-guided TCM treatment of cancers. A better understanding of TCM syndrome theory, as well as its potential biological basis, may contribute greatly to the clinical TCM diagnosis and the treatment of cancer.

  20. Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling

    DEFF Research Database (Denmark)

    Creixell, Pau; Schoof, Erwin M; Simpson, Craig D.

    2015-01-01

    Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling networks. However, global analysis of these events is currently limited. Here, we identify six types of network-attacking mutations (NAMs), including changes in kinase and SH2 modulation, network...... and experimentally validated several NAMs, including PKCγ M501I and PKD1 D665N, which encode specificity switches analogous to the appearance of kinases de novo within the kinome. We discover mutant molecular logic gates, a drift toward phospho-threonine signaling, weakening of phosphorylation motifs, and kinase......-inactivating hotspots in cancer. Our method pinpoints functional NAMs, scales with the complexity of cancer genomes and cell signaling, and may enhance our capability to therapeutically target tumor-specific networks....

  1. Researchers Identify Early Sign of Pancreatic Cancer

    Science.gov (United States)

    ... be detected before the disease is diagnosed.” The researchers utilized blood samples collected years earlier from 1,500 people participating in large health-tracking studies. They analyzed the samples for more than ...

  2. Cancer therapies in HIV cure research

    DEFF Research Database (Denmark)

    Rasmussen, Thomas A; Anderson, Jenny L; Wightman, Fiona;

    2016-01-01

    PURPOSE OF REVIEW: This article provides an overview of anticancer therapies in various stages of clinical development as potential interventions to target HIV persistence. RECENT FINDINGS: Epigenetic drugs developed for cancer have been investigated in vitro, ex vivo and in clinical trials...... as interventions aimed at reversing HIV latency and depleting the amount of virus that persists on antiretroviral therapy. Treatment with histone deacetylase inhibitors induced HIV expression in patients on antiretroviral therapy but did not reduce the frequency of infected cells. Other interventions that may...... accelerate the decay of latently infected cells, in the presence or absence of latency-reversing therapy, are now being explored. These include apoptosis-promoting agents, nonhistone deacetylase inhibitor compounds to reverse HIV latency and immunotherapy interventions to enhance antiviral immunity...

  3. Mucosal Kaposi sarcoma, a Rare Cancer Network study

    Directory of Open Access Journals (Sweden)

    Robert C. Miller

    2012-10-01

    Full Text Available Kaposi’s sarcoma (KS most often affect the skin but occasionally affect the mucosa of different anatomic sites. The management of mucosal KS is seldom described in the literature. Data from 15 eligible patients with mucosal KS treated between 1994 and 2008 in five institutions within three countries of the Rare Cancer Network group were collected. The inclusion criteria were as follows: age >16 years, confirmed pathological diagnosis, mucosal stages I and II, and a minimum of 6 months’ follow-up after treatment. Head and neck sites were the most common (66%. Eleven cases were HIV-positive. CD4 counts correlated with disease stage. Twelve patients had biopsy only while three patients underwent local resection. Radiotherapy (RT was delivered whatever their CD4 status was. Median total radiation dose was 16.2 Gy (0-45 delivered in median 17 days (0-40 with four patients receiving no RT. Six patients underwent chemotherapy and received from 1 to 11 cycles of various regimens namely vinblastin, caelyx, bleomycine, or interferon, whatever their CD4 counts was. Five-year disease free survival were 81.6% and 75.0% in patients undergoing RT or not, respectively. Median survival was 66.9 months. Radiation-induced toxicity was at worse grade 1-2 and was manageable whatever patients’ HIV status. This small series of mucosal KSs revealed that relatively low-dose RT is overall safe and efficient in HIV-positive and negative patients. Since there are distant relapses either in multicentric cutaneous or visceral forms in head and neck cases, the role of systemic treatments may be worth investigations in addition to RT of localized disease. Surgery may be used for symptomatic lesions, with caution given the risk of bleeding.

  4. THE NEED OF DASHBOARD IN SOCIAL RESEARCH NETWORK SITES FOR RESEARCHERS

    Directory of Open Access Journals (Sweden)

    Siti Hawa Apandi

    2016-02-01

    Full Text Available Nowadays, dashboard has been widely used by organizations to display information based on their objectives such as monitoring business performance or checking the current trend in the niche market. There is a need to investigate whether the researchers also need the dashboard in assisting their research works. There are some issues facing by researchers while using Social Research Network Sites (SRNS since they could not noticed with information related to research field that they might be interested in because they are huge amounts of information in the SRNS. The inclusion of dashboard in the SRNS has to be explored to understand its relevancy in supporting the researchers work. We review previous works regarding dashboard usage to find the purposes of having dashboard and find researcher needs by reviewing researchers use scenario in the social networking sites. Then, we analyze whether the dashboard purposes can satisfy the researcher needs. From the analysis, we found out that the dashboard is a significant tool in assisting the researchers on: measuring their own research performance, monitoring research trends and alerting them with upcoming events.

  5. Multi-targeted approach to cancer treatment: an international translational cancer research symposium.

    Science.gov (United States)

    Mehta, Kapil; Gandhi, Varsha; Pathak, Sen; Aggarwal, Bharat B; Grover, Rajesh K

    2014-11-01

    Whether it is chronic myeloid leukemia, ALK-expressing malignancies, or HER2-positive breast cancer, targeted-therapies for treatment of human cancers have shown great promise. However, as they hit a single molecule expressed in neoplastic cells, their use is frequently associated with development of resistance. In cancer cells many signaling pathways operate in parallel, hence the idea of multi-targeted therapy is prevailing. The Society of Translational Cancer Research held its biennial meeting in the capital city of India, Delhi from February 6th through 9th, 2014 to discuss 'Multi-targeted Approach to Treatment of Cancer'. Over 200 scientists, clinicians, trainees, and industry representatives from different countries gathered in Vigyan Bhavan, the hotspot of Delhi for four days to talk and discuss on a variety of topics related to multi-targeted therapeutic approaches. Talks were presented by leaders in the cancer research field from various countries. It became clear from this conference that coupling multiple targeted-agents or using an agent that hits an individual target in several independent locations in the disease-causing pathway(s) may be the best approach to treat different cancers.

  6. WORKING TOGETHER: EDUCATION, RESEARCH AND DEVELOPMENT FOR 5G NETWORKS

    Directory of Open Access Journals (Sweden)

    E. P. Ivanova

    2015-12-01

    Full Text Available In the new world of globalization of ideas and mobility difficulties in knowledge diffusion still remains. The effectiveexchange of experiences and skills in new generation networks is not guaranteed by the enormous potentialsofinternetworking systems and devices. Conceptual model for performance modeling and evaluation of multiservicenetworks has been major interest for mobile networks providers. It is essential to assess the performance ofmobile system architectures in order to identify where potential bottlenecks and data packet blocking probabilityare possible to occur. Educational platforms, new simulations opportunities represent a good opportunity to reducethe digital divide and to ensure faster and higher communication trends. Several universities and companies arecurrently involved in using educational platforms to provide better results. Conceptual model for teletrafficengineering in educational platform and applications focuses on some important aspects: tutorials, exercise,simulations, and expectation values of parameters, testing and estimation of students work. In the same time thesame model is very appropriate for simulation of network management for the new generation networks. Thiseducational platform for academics, students and researchers, puts together some of the critical aspects ofdistributed systems and their characteristics, parameters and probability of blocking.

  7. Translational genomics in cancer research:converting proifles into personalized cancer medicine

    Institute of Scientific and Technical Information of China (English)

    Lalit Patel; Brittany Parker; Da Yang; Wei Zhang

    2013-01-01

    Cancer genomics is a rapidly growing discipline in which the genetic molecular basis of malignancy is studied at the scale of whole genomes. While the discipline has been successful with respect to identifying specific oncogenes and tumor suppressors involved in oncogenesis, it is also challenging our approach to managing patients suffering from this deadly disease. Speciifcally cancer genomics is driving clinical oncology to take a more molecular approach to diagnosis, prognostication, and treatment selection. We review here recent work undertaken in cancer genomics with an emphasis on translation of genomic ifndings. Finally, we discuss scientiifc challenges and research opportunities emerging from ifndings derived through analysis of tumors with high-depth sequencing.

  8. Mapping cancer, cardiovascular and malaria research in Brazil

    Directory of Open Access Journals (Sweden)

    P.S. Rodrigues

    2000-08-01

    Full Text Available This paper presents performance indicators for the Brazilian cancer, cardiovascular and malaria research areas from 1981 to 1995. The data show an increasing number of papers since 1981 and author numbers indicate a continuous growth of the scientific community and suggest an expected impact of scientific activity on biomedical education. The data also characterize cardiovascular research as a well-established area and cancer research as a faster growing consolidating field. The 1989-1994 share of Brazilian articles among world publications shows a growing trend for the cancer (1.61 and cardiovascular (1.59 areas, and a decrease for the malaria area (0.89. The burden of the three diseases on society is contrasted by the small number of consolidated Brazilian research groups, and a questionable balance of thematic activity, especially with regard to malaria. Brazilian periodicals play an important role in increasing the international visibility of science produced in the country. Cancer and cardiovascular research is strongly concentrated in the Southeastern and in Southern regions of Brazil, especially in São Paulo (at least one address from São Paulo in 64.5% of the 962 cancer articles and in 66.9% of the 2250 cardiovascular articles, the second state being Rio de Janeiro with at least one address in 14.1 and 11% of those articles, respectively. Malaria research (468 articles is more evenly distributed across the country, following the pattern of the endemic distribution of the disease. Surveying these national indicator trends can be useful to establish policies in the decision process about health sciences, medical education and public health.

  9. Transcription factor-microRNA-target gene networks associated with ovarian cancer survival and recurrence.

    Science.gov (United States)

    Delfino, Kristin R; Rodriguez-Zas, Sandra L

    2013-01-01

    The identification of reliable transcriptome biomarkers requires the simultaneous consideration of regulatory and target elements including microRNAs (miRNAs), transcription factors (TFs), and target genes. A novel approach that integrates multivariate survival analysis, feature selection, and regulatory network visualization was used to identify reliable biomarkers of ovarian cancer survival and recurrence. Expression profiles of 799 miRNAs, 17,814 TFs and target genes and cohort clinical records on 272 patients diagnosed with ovarian cancer were simultaneously considered and results were validated on an independent group of 146 patients. Three miRNAs (hsa-miR-16, hsa-miR-22*, and ebv-miR-BHRF1-2*) were associated with both ovarian cancer survival and recurrence and 27 miRNAs were associated with either one hazard. Two miRNAs (hsa-miR-521 and hsa-miR-497) were cohort-dependent, while 28 were cohort-independent. This study confirmed 19 miRNAs previously associated with ovarian cancer and identified two miRNAs that have previously been associated with other cancer types. In total, the expression of 838 and 734 target genes and 12 and eight TFs were associated (FDR-adjusted P-value cancer survival and recurrence, respectively. Functional analysis highlighted the association between cellular and nucleotide metabolic processes and ovarian cancer. The more direct connections and higher centrality of the miRNAs, TFs and target genes in the survival network studied suggest that network-based approaches to prognosticate or predict ovarian cancer survival may be more effective than those for ovarian cancer recurrence. This study demonstrated the feasibility to infer reliable miRNA-TF-target gene networks associated with survival and recurrence of ovarian cancer based on the simultaneous analysis of co-expression profiles and consideration of the clinical characteristics of the patients.

  10. Transcription factor-microRNA-target gene networks associated with ovarian cancer survival and recurrence.

    Directory of Open Access Journals (Sweden)

    Kristin R Delfino

    Full Text Available The identification of reliable transcriptome biomarkers requires the simultaneous consideration of regulatory and target elements including microRNAs (miRNAs, transcription factors (TFs, and target genes. A novel approach that integrates multivariate survival analysis, feature selection, and regulatory network visualization was used to identify reliable biomarkers of ovarian cancer survival and recurrence. Expression profiles of 799 miRNAs, 17,814 TFs and target genes and cohort clinical records on 272 patients diagnosed with ovarian cancer were simultaneously considered and results were validated on an independent group of 146 patients. Three miRNAs (hsa-miR-16, hsa-miR-22*, and ebv-miR-BHRF1-2* were associated with both ovarian cancer survival and recurrence and 27 miRNAs were associated with either one hazard. Two miRNAs (hsa-miR-521 and hsa-miR-497 were cohort-dependent, while 28 were cohort-independent. This study confirmed 19 miRNAs previously associated with ovarian cancer and identified two miRNAs that have previously been associated with other cancer types. In total, the expression of 838 and 734 target genes and 12 and eight TFs were associated (FDR-adjusted P-value <0.05 with ovarian cancer survival and recurrence, respectively. Functional analysis highlighted the association between cellular and nucleotide metabolic processes and ovarian cancer. The more direct connections and higher centrality of the miRNAs, TFs and target genes in the survival network studied suggest that network-based approaches to prognosticate or predict ovarian cancer survival may be more effective than those for ovarian cancer recurrence. This study demonstrated the feasibility to infer reliable miRNA-TF-target gene networks associated with survival and recurrence of ovarian cancer based on the simultaneous analysis of co-expression profiles and consideration of the clinical characteristics of the patients.

  11. Prevention and Treatment of Cancer: Hypes and Hopes 6th International Translational Cancer Research Conference.

    Science.gov (United States)

    Patel, Prabhudas; Vora, Hemangini; Aggarwal, Bharat B; Gandhi, Varsha; Mehta, Kapil; Pathak, Sen

    2016-09-01

    Cancer is primarily an "old-age" disease that has an "age-old" history. The overall incidence of cancer is much higher in Western countries, but is rapidly growing in Eastern countries perhaps due to change in life-style. Almost three million studies published to date indicate that cancer is a hyperproliferative disorder that arises from dysregulation of multiple cell signaling pathways. The cancer genome landscape indicates that approximately 140 genes and 12 cell signaling pathways drive almost all cancers. "Targeted therapy," a buzz word in cancer treatment for the past two decades, has provided antibodies, as well as small-molecule inhibitors. These therapies have been successful only in few instances. However, in most cases, minor increase in overall survival has been reported at the cost of huge expense. An alternative strategy is to prevent cancer or to diagnose and treat the disease at an early stage to gain survival benefits. Such interventions are also cost-effective. To address some of these issues, the 6th International Translational Cancer Research Conference was held during February 4-7th, 2016, in Ahmedabad, Gujarat, India; the homeland of Mahatma Gandhi. This conference was focused on utilizing multidisciplinary approaches for prevention and early treatment that would likely simultaneously or sequentially target many key pathways. Several distinguished speakers were invited from around the world. This article highlights primary features of this conference.

  12. About the Nutritional Science Research Group | Division of Cancer Prevention

    Science.gov (United States)

    The Nutritional Science Research Group (NSRG) promotes and supports studies establishing a comprehensive understanding of the precise role of diet and food components in modulating cancer risk and tumor cell behavior. This focus includes approaches to characterize molecular targets and variability in individual responses to nutrients and dietary patterns. |

  13. Mexican breast cancer research output, 2003-2012.

    Science.gov (United States)

    Perez-Santos, Jose Luis Martin; Anaya-Ruiz, Maricruz

    2013-01-01

    The objetive of this study was to explore a bibliometric approach to quantitatively assess current research trends with regard to breast cancer in Mexico. Articles were analyzed by scientific output and research performances of individuals, institutes, and collaborative countries with Mexico. Data were retrieved from the Web of Science database from 2003 to 2012; this was searched using different terms related to breast cancer, including "breast cancer", "mammary ductal carcinoma" and "breast tumour". Data were then extracted from each file, transferred to Excel charts and visualised as diagrams. A total of 256 articles were retrieved. The institutions with the majority of publications were the National Autonomous University of Mexico (22.3%), the National Institute of Cancerology (21.9%), and Social Security Mexican Institute (20.3%); clinical observation studies were the dominant investigation type (64%), and the main types of research were metabolics (24.2%) and pathology (21.5%). This article demonstrates the usefulness of bibliometrics to address key evaluation questions and to establish priorities, define future areas of research, and develop breast cancer control strategies in Mexico.

  14. Tumor Cold Ischemia - Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    In a recently published manuscript in the journal of Molecular and Cellular Proteomics, researchers from the National Cancer Institutes (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigated the effect of cold ischemia on the proteome of fresh frozen tumors.

  15. Improving clinical research and cancer care delivery in community settings: evaluating the NCI community cancer centers program

    Directory of Open Access Journals (Sweden)

    Fennell Mary L

    2009-09-01

    Full Text Available Abstract Background In this article, we describe the National Cancer Institute (NCI Community Cancer Centers Program (NCCCP pilot and the evaluation designed to assess its role, function, and relevance to the NCI's research mission. In doing so, we describe the evolution of and rationale for the NCCCP concept, participating sites' characteristics, its multi-faceted aims to enhance clinical research and quality of care in community settings, and the role of strategic partnerships, both within and outside of the NCCCP network, in achieving program objectives. Discussion The evaluation of the NCCCP is conceptualized as a mixed method multi-layered assessment of organizational innovation and performance which includes mapping the evolution of site development as a means of understanding the inter- and intra-organizational change in the pilot, and the application of specific evaluation metrics for assessing the implementation, operations, and performance of the NCCCP pilot. The assessment of the cost of the pilot as an additional means of informing the longer-term feasibility and sustainability of the program is also discussed. Summary The NCCCP is a major systems-level set of organizational innovations to enhance clinical research and care delivery in diverse communities across the United States. Assessment of the extent to which the program achieves its aims will depend on a full understanding of how individual, organizational, and environmental factors align (or fail to align to achieve these improvements, and at what cost.

  16. Network Pharmacology of Ayurveda Formulation Triphala with Special Reference to Anti-Cancer Property.

    Science.gov (United States)

    Chandran, Uma; Mehendale, Neelay; Tillu, Girish; Patwardhan, Bhushan

    2015-01-01

    Network pharmacology is an emerging technique, which integrates systems biology and computational biology to study multi-component and multi-targeted formulations. Ayurveda, the traditional system of Indian medicine, uses intelligent formulations; however, their scientific rationale and mechanisms remain largely unexplored. This paper presents the potential of network pharmacology to understand the rationale of a commonly used Ayurveda formulation known as Triphala. We have developed pharmacology networks of Triphala based on the information gathered from different databases and using the software Cytoscape. The networks depict the interaction of bioactives with molecular targets and their relation with diseases, especially cancer. The network pharmacology analysis of Triphala has offered new relationships among bioactives, targets and putative applications of cancer etiology. This pioneering effort might open new possibilities to know pharmacodynamics of Ayurvedic drugs like Triphala and also help in the discovery of new leads and targets for various diseases.

  17. The Haematological Malignancy Research Network (HMRN): a new information strategy for population based epidemiology and health service research.

    Science.gov (United States)

    Smith, Alexandra; Roman, Eve; Howell, Debra; Jones, Richard; Patmore, Russell; Jack, Andrew

    2010-03-01

    The Haematological Malignancy Research Network (HMRN) was established in 2004 to provide robust generalizable data to inform clinical practice and research. It comprises an ongoing population-based cohort of patients newly diagnosed by a single integrated haematopathology laboratory in two adjacent UK Cancer Networks (population 3.6 million). With an emphasis on primary-source data, prognostic factors, sequential treatment/response history, and socio-demographic details are recorded to clinical trial standards. Data on 8131 patients diagnosed over the 4 years 2004-08 are examined here using the latest World Health Organization classification. HMRN captures all diagnoses (adult and paediatric) and the diagnostic age ranged from 4 weeks to 99 years (median 70.4 years). In line with published estimates, first-line clinical trial entry varied widely by disease subtype and age, falling from 59.5% in those aged <15 years to 1.9% in those aged over 75 years - underscoring the need for contextual population-based treatment and response data of the type collected by HMRN. The critical importance of incorporating molecular and prognostic markers into comparative survival analyses is illustrated with reference to diffuse-large B-cell lymphoma, acute myeloid leukaemia and myeloma. With respect to aetiology, several descriptive factors are highlighted and discussed, including the unexplained male predominance evident for most subtypes across all ages.

  18. Detection of early-stage research fronts——An example of complex networks research

    Institute of Scientific and Technical Information of China (English)

    Lihua; ZHANG; Zhiqiang; ZHANG

    2014-01-01

    Purpose:This study aims to detect research fronts of a scientific field in its early development stage using bibliometric indicators developed based on the features of research fronts.Design/methodology/approach:We first focused on conceptualization of"research fronts"and outlined 4 indicators to measure different aspects of the concept:Innovation,timeliness,stability and interdisciplinarity.Then research specialties obtained based on direct citation networks were evaluated with the 4 indicators and research fronts were identified.Finally,methodology was illustrated and verified in the research domain of complex networks.Findings:The results indicate that the proposed method is useful in detecting research fronts in a specific field which is at an early development stage.Research limitations:The quality of clustering results was not assessed.It needs to be further studied whether the method can be applicable to the fields that evolve slowly such as mathematics or are highly specialized like entomology and zoology.Practical implications:This study helps researchers keep abreast of emerging trends and policy-makers formulate science and technology policies and strategic plans.Originality/value:This research provides insights into a quantitative assessment method to detect research fronts of a scientific field in its early development stage.

  19. Systems biology in the frontier of cancer research:a report of the Second International Workshop of Cancer Systems Biology

    Institute of Scientific and Technical Information of China (English)

    Juan Cui; Yan-Chun Liang; Ying Xu

    2012-01-01

    The report summarizes the Second International Workshop of Cancer Systems Biology held on July 5-6,2012 in Changchun,China.The goal of the workshop was to bring together cancer researchers with different backgrounds to share their views about cancer and their experiences in fighting against cancer,and to gain new and systems-level understanding about cancer formation,progression,diagnosis,and treatment through exchanging ideas.

  20. European network infrastructures of observatories for terrestrial Global Change research

    Science.gov (United States)

    Vereecken, H.; Bogena, H.; Lehning, M.

    2009-04-01

    The earth's climate is significantly changing (e.g. IPCC, 2007) and thus directly affecting the terrestrial systems. The number and intensity hydrological extremes, such as floods and droughts, are continually increasing, resulting in major economical and social impacts. Furthermore, the land cover in Europe has been modified fundamentally by conversions for agriculture, forest and for other purposes such as industrialisation and urbanisation. Additionally, water resources are more than ever used for human development, especially as a key resource for agricultural and industrial activities. As a special case, the mountains of the world are of significant importance in terms of water resources supply, biodiversity, economy, agriculture, traffic and recreation but particularly vulnerable to environmental change. The Alps are unique because of the pronounced small scale variability they contain, the high population density they support and their central position in Europe. The Alps build a single coherent physical and natural environment, artificially cut by national borders. The scientific community and governmental bodies have responded to these environmental changes by performing dedicated experiments and by establishing environmental research networks to monitor, analyse and predict the impact of Global Change on different terrestrial systems of the Earths' environment. Several European network infrastructures for terrestrial Global Change research are presently immerging or upgrading, such as ICOS, ANAEE, LifeWatch or LTER-Europe. However, the strongest existing networks are still operating on a regional or national level and the historical growth of such networks resulted in a very heterogeneous landscape of observation networks. We propose therefore the establishment of two complementary networks: The NetwOrk of Hydrological observAtories, NOHA. NOHA aims to promote the sustainable management of water resources in Europe, to support the prediction of

  1. Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.

    Directory of Open Access Journals (Sweden)

    Taosheng Xu

    Full Text Available Identifying cancer subtypes is an important component of the personalised medicine framework. An increasing number of computational methods have been developed to identify cancer subtypes. However, existing methods rarely use information from gene regulatory networks to facilitate the subtype identification. It is widely accepted that gene regulatory networks play crucial roles in understanding the mechanisms of diseases. Different cancer subtypes are likely caused by different regulatory mechanisms. Therefore, there are great opportunities for developing methods that can utilise network information in identifying cancer subtypes.In this paper, we propose a method, weighted similarity network fusion (WSNF, to utilise the information in the complex miRNA-TF-mRNA regulatory network in identifying cancer subtypes. We firstly build the regulatory network where the nodes represent the features, i.e. the microRNAs (miRNAs, transcription factors (TFs and messenger RNAs (mRNAs and the edges indicate the interactions between the features. The interactions are retrieved from various interatomic databases. We then use the network information and the expression data of the miRNAs, TFs and mRNAs to calculate the weight of the features, representing the level of importance of the features. The feature weight is then integrated into a network fusion approach to cluster the samples (patients and thus to identify cancer subtypes. We applied our method to the TCGA breast invasive carcinoma (BRCA and glioblastoma multiforme (GBM datasets. The experimental results show that WSNF performs better than the other commonly used computational methods, and the information from miRNA-TF-mRNA regulatory network contributes to the performance improvement. The WSNF method successfully identified five breast cancer subtypes and three GBM subtypes which show significantly different survival patterns. We observed that the expression patterns of the features in some mi

  2. The Utrecht Pharmacy Practice network for Education and Research: a network of community and hospital pharmacies in the Netherlands.

    Science.gov (United States)

    Koster, Ellen S; Blom, Lyda; Philbert, Daphne; Rump, Willem; Bouvy, Marcel L

    2014-08-01

    Practice-based networks can serve as effective mechanisms for the development of the profession of pharmacists, on the one hand by supporting student internships and on the other hand by collection of research data and implementation of research outcomes among public health practice settings. This paper presents the characteristics and benefits of the Utrecht Pharmacy Practice network for Education and Research, a practice based research network affiliated with the Department of Pharmaceutical Sciences of Utrecht University. Yearly, this network is used to realize approximately 600 student internships (in hospital and community pharmacies) and 20 research projects. To date, most research has been performed in community pharmacy and research questions frequently concerned prescribing behavior or adherence and subjects related to uptake of regulations in the pharmacy setting. Researchers gain access to different types of data from daily practice, pharmacists receive feedback on the functioning of their own pharmacy and students get in depth insight into pharmacy practice.

  3. Social Network formed by Researchers in Environmental Sustainability

    Directory of Open Access Journals (Sweden)

    Celso Machado Junior

    2016-10-01

    Full Text Available This study establishes the goal of identifying the existence of a social collaboration network, and the centrality of the main actors in environmental sustainability Stricto Sensu, the original composition of advisors and guests from Examining Board of theses and dissertations members. To develop this research analyzed 13959 theses and dissertations, which identified 543 titles that deal with environmental sustainability. Developed in the wake of the lifting members involved in Bunkers Examining who identified a volume of 947 actors to which they applied the Analysis of Social Networks supported by the use of specific software for this activity. A collaborative framework, generated from the bonds of participation in Examining Board proved fragmented into three main social arrangements and the occurrence of some isolated stands, not allowing the characterization of this invisible college as a small world.

  4. The AERONET network: atmospheric aerosol research in Ukraine

    Science.gov (United States)

    Milinevsky, G. P.

    2013-12-01

    The AERONET network is one of the most developed ground-based networks for aerosol monitoring. Solar radiance extinction, aureole brightness and sky light polarization measurements are used by the AERONET inversion retrieval algorithm to derive a variety of aerosol particle properties and parameters that are important for estimations of aerosol influences on air quality and climate change. In 2008 the AERONET has been extended in Ukraine: in addition to Sevastopol site (operated since 2006) the sunphotometer CIMEL CE318-2 has been installed at Kyiv site. New generation of sunphotometer (CE318N) has been used widely since 2011 in various sites of Ukraine as mobile station together with portable sunphotometer Microtops II. This article presents a short description of the AERONET, its development in Ukraine and prospects for future atmospheric research.

  5. Targeting hedgehog signaling in cancer: research and clinical developments

    Directory of Open Access Journals (Sweden)

    Xie J

    2013-10-01

    Full Text Available Jingwu Xie, Christopher M Bartels, Scott W Barton, Dongsheng GuWells Center for Pediatric Research, Division of Hematology and Oncology, Department of Pediatrics, Indiana University Simon Cancer Center, Indiana University, Indianapolis, IN, USAAbstract: Since its first description in Drosophila by Drs Nusslein-Volhard and Wieschaus in 1980, hedgehog (Hh signaling has been implicated in regulation of cell differentiation, proliferation, tissue polarity, stem cell maintenance, and carcinogenesis. The first link of Hh signaling to cancer was established through studies of Gorlin syndrome in 1996 by two independent teams. Later, it was shown that Hh signaling may be involved in many types of cancer, including skin, leukemia, lung, brain, and gastrointestinal cancers. In early 2012, the US Food and Drug Administration approved the clinical use of Hh inhibitor Erivedge/vismodegib for treatment of locally advanced and metastatic basal cell carcinomas. With further investigation, it is possible to see more clinical applications of Hh signaling inhibitors. In this review, we will summarize major advances in the last 3 years in our understanding of Hh signaling activation in human cancer, and recent developments in preclinical and clinical studies using Hh signaling inhibitors.Keywords: hedgehog, smoothened, PTCH1, cancer, signal transduction, clinical trials, animal model

  6. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancer diseases is challenging job in biomedical data engineering. The improving of classification of gene selection of cancer diseases various classifier are used, but the classification of classifier are not validate. So ensemble classifier is used for cancer gene classification using neural network classifier with random forest tree. The random forest tree is ensembling technique of classifier in this technique the number of classifier ensemble of their leaf node of class of classifier. In this paper we combined neural network with random forest ensemble classifier for classification of cancer gene selection for diagnose analysis of cancer diseases. The proposed method is different from most of the methods of ensemble classifier, which follow an input output paradigm of neural network, where the members of the ensemble are selected from a set of neural network classifier. the number of classifiers is determined during the rising procedure of the forest. Furthermore, the proposed method produces an ensemble not only correct, but also assorted, ensuring the two important properties that should characterize an ensemble classifier. For empirical evaluation of our proposed method we used UCI cancer diseases data set for classification. Our experimental result shows that better result in compression of random forest tree classification.

  7. 76 FR 66728 - Government-Owned Inventions; Licensing and Collaborative Research Opportunity for PANVAC-Cancer...

    Science.gov (United States)

    2011-10-27

    ... the Laboratory of Tumor Immunology and Biology, Center for Cancer Research, NCI. The CRADA partner... Research Opportunity for PANVAC--Cancer Vaccine for the Prevention and Treatment of Colorectal Cancer... Technology Transfer Center, National Cancer Institute, 6120 Executive Boulevard, Suite 450, Rockville,...

  8. Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.

    Science.gov (United States)

    Duan, Xiaoran; Yang, Yongli; Tan, Shanjuan; Wang, Sihua; Feng, Xiaolei; Cui, Liuxin; Feng, Feifei; Yu, Songcheng; Wang, Wei; Wu, Yongjun

    2016-10-20

    The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the effects of back-propagation (BP) neural network with Fisher discrimination model for lung cancer screening by the combined detections of four biomarkers of p16, RASSF1A and FHIT gene promoter methylation levels and the relative telomere length. Real-time quantitative methylation-specific PCR was used to detect the levels of three-gene promoter methylation, and real-time PCR method was applied to determine the relative telomere length. BP neural network and Fisher discrimination analysis were used to establish the discrimination diagnosis model. The levels of three-gene promoter methylation in patients with lung cancer were significantly higher than those of the normal controls. The values of Z(P) in two groups were 2.641 (0.008), 2.075 (0.038) and 3.044 (0.002), respectively. The relative telomere lengths of patients with lung cancer (0.93 ± 0.32) were significantly lower than those of the normal controls (1.16 ± 0.57), t = 4.072, P neural network were 0.670 (0.569-0.761) and 0.760 (0.664-0.840). The AUC of BP neural network was higher than that of Fisher discrimination analysis, and Z(P) was 0.76. Four biomarkers are associated with lung cancer. BP neural network model for the prediction of lung cancer is better than Fisher discrimination analysis, and it can provide an excellent and intelligent diagnosis tool for lung cancer.

  9. Leveraging the power of pooled data for cancer outcomes research

    Institute of Scientific and Technical Information of China (English)

    Kiara Hugh-Yeun; Winson Y. Cheung

    2016-01-01

    Background: Clinical trials continue to be the gold standard for determining the effcacy of novel cancer treatments, but they may also expose participants to the potential risks of unpredictable or severe toxicities. The development of validated tools that better inform patients of the beneifts and risks associated with clinical trial participation can facilitate the informed consent process. The design and validation of such instruments are strengthened when we leverage the power of pooled data analysis for cancer outcomes research. Main body: In a recent study published in the Journal of Clinical Oncology entitled“Determinants of early mortal‑ity among 37,568 patients with colon cancer who participated in 25 clinical trials from the adjuvant colon cancer endpoints database,”using a large pooled analysis of over 30,000 study participants who were enrolled in clinical trials of adjuvant therapy for early‑stage colon cancer, we developed and validated a nomogram depicting the predictors of early cancer mortality. This database of pooled individual‑level data allowed for a comprehensive analysis of poor prognostic factors associated with early death;furthermore, it enabled the creation of a nomogram that was able to reliably capture and quantify the beneift‑to‑risk proifle for patients who are considering clinical trial participation. This tool can facilitate treatment decision‑making discussions. Conclusion: As China and other Asian countries continue to conduct oncology clinical trials, efforts to collate patient‑level information from these studies into a large data repository should be strongly considered since pooled data can increase future capacity for cancer outcomes research, which, in turn, can enhance patient‑physician discus‑sions and optimize clinical care.

  10. Cancer research and therapy: Where are we today?

    Directory of Open Access Journals (Sweden)

    Sampada Sawant

    2014-12-01

    Full Text Available Till date scientists are struggling to understand the complete mechanism of carcinogenesis. In future, the real time detection of cancer may help scientists to identify some of the complicated biological mechanisms. Certain special features of cancer cells enable researchers to deliver the drug or to develop the right drug therapy. These cell properties include over expression or over activity in uptake of certain nutrients e.g. folic acid and increased permeability. Listed properties might vary depending upon the type of cancer and can be fully exploited by using nanoparticles either to detect the site of cancer or to direct the drug at the affected site. Product approach like drug conjugates, complexes serves as a good platform to solve issues like solubility, toxicity, poor penetration and stability related to cancer drugs. Beside this, several drug delivery platforms are under development by researchers in academia as well as in industry to deliver therapeutic molecules and new chemical entities to the targeted site in body. Amongst them, nanotechnology both at molecular and supramolecular level is a leading platform and can help to image, detect and treat cancer. Surface modification of nanoparticles by coating or anchoring their surface with special markers, materials, peptide, proteins, antibodies or antigens add extra feature and thereby can enhance the effectiveness. These treatments can be used individually or in combined form. In this review, advances on nanotechnological platform are discussed together with some assisting techniques like magnetic field, photo or light field, sonic rays are touched upon. New biological therapies that are advancing in this direction include the antisense therapy, cell therapy, gene therapy, radiation therapy and SiRNA interfaces which are discussed in brief in this article. This article gives short overview on use of complementary and alternative medicine for treatment of cancer such as traditional

  11. A networked research program for aluminum production and transformation

    Science.gov (United States)

    Bui, R. T.; Charette, A.; Fafard, M.; Paray, F.; Soucy, G.; Ajersch, F.; Masounave, J.; Chiesa, F.

    2003-05-01

    In response to increasing needs and new opportunities, a provincewide network of Quebec institutions of higher learning, R&D agencies, and technology users has been set up to carry out research in aluminum production, fabrication, and transformation technologies, and to help channel the expertise and resources into large projects with more efficiency in terms of generating synergy and funding, cutting-edge research, qualified personnel training, and technology transfers. It is a unique experience in collaborative, multipartite, university-based R&D which, in addition to a comprehensive, far-reaching research program, emphasizes the various aspects of dispersed inter-institutional coordination, resource sharing, synergy creation, joint graduate training, diversification of funding, and intellectual property.

  12. Comparison of gene regulatory networks of benign and malignant breast cancer samples with normal samples.

    Science.gov (United States)

    Chen, D B; Yang, H J

    2014-11-11

    The aim of this study was to explain the pathogenesis and deterioration process of breast cancer. Breast cancer expression profile data GSE27567 was downloaded from the Gene Expression Omnibus (GEO) database, and breast cancer-related genes were extracted from databases, including Cancer-Resource and Online Mendelian Inheritance In Man (OMIM). Next, h17 transcription factor data were obtained from the University of California, Santa Cruz. Database for Annotation, Visualization, and Integrated Discovery (DAVID)-enrichment analysis was applied and gene-regulatory networks were constructed by double-two-way t-tests in 3 states, including normal, benign, and malignant. Furthermore, network topological properties were compared between 2 states, and breast cancer-related bub genes were ranked according to their different degrees between each of the two states. A total of 2380 breast cancer-related genes and 215 transcription factors were screened by exploring databases; the genes were mainly enriched in their functions, such as cell apoptosis and proliferation, and pathways, such as p53 signaling and apoptosis, which were related with carcinogenesis. In addition, gene-regulatory networks in the 3 conditions were constructed. By comparing their network topological properties, we found that there is a larger transition of differences between malignant and benign breast cancer. Moreover, 8 hub genes (YBX1, ZFP36, YY1, XRCC5, XRCC4, ZFHX3, ZMAT3, and XPC) were identified in the top 10 genes ranked by different degrees. Through comparative analysis of gene-regulation networks, we identified the link between related genes and the pathogenesis of breast cancer. However, further experiments are needed to confirm our results.

  13. Community-based participatory research: its role in future cancer research and public health practice.

    Science.gov (United States)

    Simonds, Vanessa W; Wallerstein, Nina; Duran, Bonnie; Villegas, Malia

    2013-05-16

    The call for community-based participatory research approaches to address cancer health disparities is increasing as concern grows for the limited effectiveness of existing public health practice and research in communities that experience a disparate burden of disease. A national study of participatory research projects, Research for Improved Health, funded by the National Institutes of Health (2009-2013), identified 64 of 333 projects focused on cancer and demonstrated the potential impact participatory approaches can have in reducing cancer disparities. Several projects highlight the success of participatory approaches to cancer prevention and intervention in addressing many of the challenges of traditional practice and research. Best practices include adapting interventions within local contexts, alleviating mistrust, supporting integration of local cultural knowledge, and training investigators from communities that experience cancer disparities. The national study has implications for expanding our understanding of the impact of participatory approaches on alleviating health disparities and aims to enhance our understanding of the barriers and facilitators to effective community-based participatory research.

  14. Collaboration - Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    Despite great strides in proteomics and the growing number of articles citing the discovery of potential biomarkers, the actual rate of introduction of Food and Drug Administration (FDA) approved protein analytes has been relatively unchanged over the past 10 years. One of reasons for the lack of new protein-based biomarkers approved has been a lack of information and understanding by the proteomics research community to the regulatory process used by the FDA.

  15. Health systems, quality of health care, and translational cancer research: the role of the Istituto Superiore Sanità - Rome.

    Science.gov (United States)

    Ricciardi, Walter

    2015-01-01

    Faced with the challenge of ensuring high-quality and cost-effective health systems in the context of persistent financial crisis, a global strategy for cancer prevention and treatment represents a priority for public health bodies and governments. The key goals for the initiative are to define standards of cancer prevention and care while leveraging the continuous progress of biomedical research in the interest of public health. In Italy, the establishment of a network of Comprehensive Cancer Centres (CCC) named the Alliance Against Cancer (ACC) is an important initiative taken by the Ministry of Health to foster common strategies for enhancing the quality of oncology research and care at the national level. The Istituto Superiore di Sanità (ISS) has played an important role in supporting ACC activities through a special national program called ISS for ACC, launched by the Italian Ministry of Health in 2006. A similar role has been pursued in subsequent initiatives, including ISS support for a project aimed at providing international accreditation of the CCC of the ACC, funded by the Italian Ministry of Health. The results of this initiative, reported in the current issue of Tumori, are especially significant since specific indicators of quality for research and cancer care have been successfully defined for all the participating institutes. As the leading technical and scientific body of the Italian National Health Service, the ISS will continue to play a proactive role in supporting national networks and strategic national and international initiatives aimed at promoting public health.

  16. Incorporating gene co-expression network in identification of cancer prognosis markers

    Directory of Open Access Journals (Sweden)

    Li Yang

    2010-05-01

    Full Text Available Abstract Background Extensive biomedical studies have shown that clinical and environmental risk factors may not have sufficient predictive power for cancer prognosis. The development of high-throughput profiling technologies makes it possible to survey the whole genome and search for genomic markers with predictive power. Many existing studies assume the interchangeability of gene effects and ignore the coordination among them. Results We adopt the weighted co-expression network to describe the interplay among genes. Although there are several different ways of defining gene networks, the weighted co-expression network may be preferred because of its computational simplicity, satisfactory empirical performance, and because it does not demand additional biological experiments. For cancer prognosis studies with gene expression measurements, we propose a new marker selection method that can properly incorporate the network connectivity of genes. We analyze six prognosis studies on breast cancer and lymphoma. We find that the proposed approach can identify genes that are significantly different from those using alternatives. We search published literature and find that genes identified using the proposed approach are biologically meaningful. In addition, they have better prediction performance and reproducibility than genes identified using alternatives. Conclusions The network contains important information on the functionality of genes. Incorporating the network structure can improve cancer marker identification.

  17. An Evaluation Methodology for Longitudinal Studies of Short-Term Cancer Research Training Programs.

    Science.gov (United States)

    Padilla, Luz A; Venkatesh, Raam; Daniel, Casey L; Desmond, Renee A; Brooks, C Michael; Waterbor, John W

    2016-03-01

    The need to familiarize medical students and graduate health professional students with research training opportunities that cultivate the appeal of research careers is vital to the future of research. Comprehensive evaluation of a cancer research training program can be achieved through longitudinal tracking of program alumni to assess the program's impact on each participant's career path and professional achievements. With advances in technology and smarter means of communication, effective ways to track alumni have changed. In order to collect data on the career outcomes and achievements of nearly 500 short-term cancer research training program alumni from 1999-2013, we sought to contact each alumnus to request completion of a survey instrument online, or by means of a telephone interview. The effectiveness of each contact method that we used was quantified according to ease of use and time required. The most reliable source of contact information for tracking alumni from the early years of the program was previous tracking results, and for alumni from the later years, the most important source of contact information was university alumni records that provided email addresses and telephone numbers. Personal contacts with former preceptors were sometimes helpful, as were generic search engines and people search engines. Social networking was of little value for most searches. Using information from two or more sources in combination was most effective in tracking alumni. These results provide insights and tools for other research training programs that wish to track their alumni for long-term program evaluation.

  18. CPTAC Scientific Symposium - Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    On behalf of the National Cancer Institute and the Office of Cancer Clinical Proteomics Research, you are invited to the First Annual CPTAC Scientific Symposium on Wednesday, November 13, 2013. The purpose of this symposium, which consists of plenary and poster sessions, is for investigators from CPTAC community and beyond to share and discuss novel biological discoveries, analytical methods, and translational approaches using CPTAC data. All scientists who use, or wish to use CPTAC data are welcome to participate at this free event. The symposium will be held at the Natcher Conference Facility on the main campus of the National Institutes of Health in Bethesda, Maryland.

  19. Clinical cancer research: the past, present and the future.

    Science.gov (United States)

    DeVita, Vincent T; Eggermont, Alexander M M; Hellman, Samuel; Kerr, David J

    2014-11-01

    In the past decade, we have witnessed unprecedented changes and some remarkable advances that have enabled true personalized medicine. Nevertheless, many challenges in clinical cancer research remain and need to be overcome if we are to witness similar progress in the next decade. Such hurdles include, but are not limited to, clinical development and testing of multiple agents in combination, design of clinical trials to best accommodate the ever increasing knowledge of heterogeneity of the disease, regulatory challenges relating to drug development and trial design, and funding for basic research. With this in mind, we asked four leading cancer researchers from around the world, and who have been associated with the journal since its launch in November 2004 what, in their opinion, we have learnt over the past 10 years and how we should progress in the next 10 years.

  20. Why is it crucial to reintegrate pathology into cancer research?

    Science.gov (United States)

    Rodriguez-Canales, Jaime; Eberle, Franziska C; Jaffe, Elaine S; Emmert-Buck, Michael R

    2011-07-01

    The integration of pathology with molecular biology is vital if we are to enhance the translational value of cancer research. Pathology represents a bridge between medicine and basic biology, it remains the gold standard for cancer diagnosis, and it plays an important role in discovery studies. In the past, pathology and cancer research were closely associated; however, the molecular biology revolution has shifted the focus of investigators toward the molecular alterations of tumors. The reductionist approach taken in molecular studies is producing great insight into the inner workings of neoplasia, but it can also minimize the importance of histopathology and of understanding the disease as a whole. In turn, pathologists can underestimate the role of molecular studies in developing new ancillary techniques for clinical diagnosis. A multidisciplinary approach that integrates pathology and molecular biology within a translational research system is needed. This process will require overcoming cultural barriers and can be achieved through education, a more effective incorporation of pathology into biological research, and conversely an integration of biological research into the pathology laboratory.

  1. The role of social networking sites in medical genetics research.

    Science.gov (United States)

    Reaves, Allison Cook; Bianchi, Diana W

    2013-05-01

    Social networking sites (SNS) have potential value in the field of medical genetics as a means of research subject recruitment and source of data. This article examines the current role of SNS in medical genetics research and potential applications for these sites in future studies. Facebook is the primary SNS considered, given the prevalence of its use in the United States and role in a small but growing number of studies. To date, utilization of SNS in medical genetics research has been primarily limited to three studies that recruited subjects from populations of Facebook users [McGuire et al. (2009); Am J Bioeth 9: 3-10; Janvier et al. (2012); Pediatrics 130: 293-298; Leighton et al. (2012); Public Health Genomics 15: 11-21]. These studies and a number of other medical and public health studies that have used Facebook as a context for recruiting research subjects are discussed. Approaches for Facebook-based subject recruitment are identified, including paid Facebook advertising, snowball sampling, targeted searching and posting. The use of these methods in medical genetics research has the potential to facilitate cost-effective research on both large, heterogeneous populations and small, hard-to-access sub-populations.

  2. Transforming networking within the ESIP Federation using ResearchBit

    Science.gov (United States)

    Robinson, E.

    2015-12-01

    Geoscientists increasingly need interdisciplinary teams to solve their research problems. Currently, geoscientists use Research Networking (RN) systems to connect with each other and find people of similar and dissimilar interests. As we shift to digitally mediated scholarship, we need innovative methods for scholarly communication. Formal methods for scholarly communication are undergoing vast transformation owing to the open-access movement and reproducible research. However, informal scholarly communication that takes place at professional society meetings and conferences, like AGU, has received limited research attention relying primarily on serendipitous interaction. The ResearchBit project aims to fundamentally improve informal methods of scholarly communication by leveraging the serendipitous interactions of researchers and making them more aware of co-located potential collaborators with mutual interests. This presentation will describe our preliminary hardware testing done at the Federation for Earth Science Information Partners (ESIP) Summer meeting this past July and the initial recommendation system design. The presentation will also cover the cultural shifts and hurdles to introducing new technology, the privacy concerns of tracking technology and how we are addressing those new issues.

  3. ENRICH Forum: Ethical aNd Regulatory Issues in Cancer ResearcH

    Science.gov (United States)

    ENRICH Forum: Ethical aNd Regulatory Issues in Cancer ResearcH, designed to stimulate dialogue on ethical and regulatory issues in cancer research and promote awareness of developing policies and best practices.

  4. Heterogeneous research networks as interfaces: Commit and survival of organizations around university research. The case of biotechnology in The Netherlands

    NARCIS (Netherlands)

    Rossum, van Wouter

    2002-01-01

    In this paper social network terms are applied to conceptualize the intermediary sector of heterogeneous research networks between the institutional contexts of university research and industrial research. White’s notion of ‘commit interface’, and Burt’s elaboration of this notion to account for cha

  5. Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer

    Science.gov (United States)

    Delaney, Joe Ryan; Patel, Chandni B.; Willis, Katelyn McCabe; Haghighiabyaneh, Mina; Axelrod, Joshua; Tancioni, Isabelle; Lu, Dan; Bapat, Jaidev; Young, Shanique; Cadassou, Octavia; Bartakova, Alena; Sheth, Parthiv; Haft, Carley; Hui, Sandra; Saenz, Cheryl; Schlaepfer, David D.; Harismendy, Olivier; Stupack, Dwayne G.

    2017-01-01

    Identification of specific oncogenic gene changes has enabled the modern generation of targeted cancer therapeutics. In high-grade serous ovarian cancer (OV), the bulk of genetic changes is not somatic point mutations, but rather somatic copy-number alterations (SCNAs). The impact of SCNAs on tumour biology remains poorly understood. Here we build haploinsufficiency network analyses to identify which SCNA patterns are most disruptive in OV. Of all KEGG pathways (N=187), autophagy is the most significantly disrupted by coincident gene deletions. Compared with 20 other cancer types, OV is most severely disrupted in autophagy and in compensatory proteostasis pathways. Network analysis prioritizes MAP1LC3B (LC3) and BECN1 as most impactful. Knockdown of LC3 and BECN1 expression confers sensitivity to cells undergoing autophagic stress independent of platinum resistance status. The results support the use of pathway network tools to evaluate how the copy-number landscape of a tumour may guide therapy. PMID:28198375

  6. Artificial neural networks as classification and diagnostic tools for lymph node-negative breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Eswari J, Satya; Chandrakar, Neha [National Institute of Technology Raipur, Raipur (India)

    2016-04-15

    Artificial neural networks (ANNs) can be used to develop a technique to classify lymph node negative breast cancer that is prone to distant metastases based on gene expression signatures. The neural network used is a multilayered feed forward network that employs back propagation algorithm. Once trained with DNA microarraybased gene expression profiles of genes that were predictive of distant metastasis recurrence of lymph node negative breast cancer, the ANNs became capable of correctly classifying all samples and recognizing the genes most appropriate to the classification. To test the ability of the trained ANN models in recognizing lymph node negative breast cancer, we analyzed additional idle samples that were not used beforehand for the training procedure and obtained the correctly classified result in the validation set. For more substantial result, bootstrapping of training and testing dataset was performed as external validation. This study illustrates the potential application of ANN for breast tumor diagnosis and the identification of candidate targets in patients for therapy.

  7. Proteomics in epigenetics: new perspectives for cancer research.

    Science.gov (United States)

    Bartke, Till; Borgel, Julie; DiMaggio, Peter A

    2013-05-01

    The involvement of epigenetic processes in the origin and progression of cancer is now widely appreciated. Consequently, targeting the enzymatic machinery that controls the epigenetic regulation of the genome has emerged as an attractive new strategy for therapeutic intervention. The development of epigenetic drugs requires a detailed knowledge of the processes that govern chromatin regulation. Over the recent years, mass spectrometry (MS) has become an indispensable tool in epigenetics research. In this review, we will give an overview of the applications of MS-based proteomics in studying various aspects of chromatin biology. We will focus on the use of MS in the discovery and mapping of histone modifications and how novel proteomic approaches are being utilized to identify and study chromatin-associated proteins and multi-subunit complexes. Finally, we will discuss the application of proteomic methods in the diagnosis and prognosis of cancer based on epigenetic biomarkers and comment on their future impact on cancer epigenetics.

  8. A network medicine approach to build a comprehensive atlas for the prognosis of human cancer.

    Science.gov (United States)

    Zhang, Fan; Ren, Chunyan; Lau, Kwun Kit; Zheng, Zihan; Lu, Geming; Yi, Zhengzi; Zhao, Yongzhong; Su, Fei; Zhang, Shaojun; Zhang, Bin; Sobie, Eric A; Zhang, Weijia; Walsh, Martin J

    2016-11-01

    The Cancer Genome Atlas project has generated multi-dimensional and highly integrated genomic data from a large number of patient samples with detailed clinical records across many cancer types, but it remains unclear how to best integrate the massive amount of genomic data into clinical practice. We report here our methodology to build a multi-dimensional subnetwork atlas for cancer prognosis to better investigate the potential impact of multiple genetic and epigenetic (gene expression, copy number variation, microRNA expression and DNA methylation) changes on the molecular states of networks that in turn affects complex cancer survivorship. We uncover an average of 38 novel subnetworks in the protein-protein interaction network that correlate with prognosis across four prominent cancer types. The clinical utility of these subnetwork biomarkers was further evaluated by prognostic impact evaluation, functional enrichment analysis, drug target annotation, tumor stratification and independent validation. Some pathways including the dynactin, cohesion and pyruvate dehydrogenase-related subnetworks are identified as promising new targets for therapy in specific cancer types. In conclusion, this integrative analysis of existing protein interactome and cancer genomics data allows us to systematically dissect the molecular mechanisms that underlie unexpected outcomes for cancer, which could be used to better understand and predict clinical outcomes, optimize treatment and to provide new opportunities for developing therapeutics related to the subnetworks identified.

  9. Artificial neural network in studying factors of hepatic cancer recurrence after hepatectomy

    Institute of Scientific and Technical Information of China (English)

    HE Jia; HE Xian-min; ZHANG Zhi-jian

    2002-01-01

    Objective: To explore the affecting factors of liver cancer recurrence after hepatectomy. Methods:The BP artificial neural network - Cox regression was introduced to analyze the factors of recurrence in1 457 patients. Results: The affecting factors statistically significant to liver cancer prognosis was selected.There were 18 factors to be selected by uni-factor analysis, and 9 factors to be selected by multi-factor analysis. Conclusion: The 9 factors selected can be used as important indexes to evaluate the recurrence of liver cancer after hepatectomy. The artificial neural network is a better method to analyze the clinical data, which provides scientific and objective data for evaluating prognosis of liver cancer.

  10. Study Points to Genetic Subtypes of Esophageal Cancer

    Science.gov (United States)

    A Cancer Currents blog post about a study by The Cancer Genome Atlas Research Network that identified distinct genetic and molecular changes in esophageal cancers that could improve their classification and identify potential new treatments.

  11. Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets.

    Science.gov (United States)

    Lu, Junyan; Zeng, Hanlin; Liang, Zhongjie; Chen, Limin; Zhang, Liyi; Zhang, Hao; Liu, Hong; Jiang, Hualiang; Shen, Bairong; Huang, Ming; Geng, Meiyu; Spiegel, Sarah; Luo, Cheng

    2015-10-08

    The connection between inflammation and tumourigenesis has been well established. However, the detailed molecular mechanism underlying inflammation-associated tumourigenesis remains unknown because this process involves a complex interplay between immune microenvironments and epithelial cells. To obtain a more systematic understanding of inflammation-associated tumourigenesis as well as to identify novel therapeutic approaches, we constructed a knowledge-based network describing the development of colitis-associated colon cancer (CAC) by integrating the extracellular microenvironment and intracellular signalling pathways. Dynamic simulations of the CAC network revealed a core network module, including P53, MDM2, and AKT, that may govern the malignant transformation of colon epithelial cells in a pro-tumor inflammatory microenvironment. Furthermore, in silico mutation studies and experimental validations led to a novel finding that concurrently targeting ceramide and PI3K/AKT pathway by chemical probes or marketed drugs achieves synergistic anti-cancer effects. Overall, our network model can guide further mechanistic studies on CAC and provide new insights into the design of combinatorial cancer therapies in a rational manner.

  12. Research and Collaboration Overview of Institut Pasteur International Network: A Bibliometric Approach toward Research Funding Decisions

    Directory of Open Access Journals (Sweden)

    Ehsan Mostafavi

    2014-01-01

    Full Text Available Background Institut Pasteur International Network (IPIN, which includes 32 research institutes around the world, is a network of research and expertise to fight against infectious diseases. A scientometric approach was applied to describe research and collaboration activities of IPIN. Methods Publications were identified using a manual search of IPIN member addresses in Science Citation Index Expanded (SCIE between 2006 and 2011. Total publications were then subcategorized by geographic regions. Several scientometric indicators and the H-index were employed to estimate the scientific production of each IPIN member. Subject and geographical overlay maps were also applied to visualize the network activities of the IPIN members. Results A total number of 12667 publications originated from IPIN members. Each author produced an average number of 2.18 papers and each publication received an average of 13.40 citations. European Pasteur Institutes had the largest amount of publications, authored papers, and H-index values. Biochemistry and molecular biology, microbiology, immunology and infectious diseases were the most important research topics, respectively. Geographic mapping of IPIN publications showed wide international collaboration among IPIN members around the world. Conclusion IPIN has strong ties with national and international authorities and organizations to investigate the current and future health issues. It is recommended to use scientometric and collaboration indicators as measures of research performance in IPIN future policies and investment decisions.

  13. Transcription factor FOXA2-centered transcriptional regulation network in non-small cell lung cancer

    Energy Technology Data Exchange (ETDEWEB)

    Jang, Sang-Min; An, Joo-Hee; Kim, Chul-Hong; Kim, Jung-Woong, E-mail: jungkim@cau.ac.kr; Choi, Kyung-Hee, E-mail: khchoi@cau.ac.kr

    2015-08-07

    Lung cancer is the leading cause of cancer-mediated death. Although various therapeutic approaches are used for lung cancer treatment, these mainly target the tumor suppressor p53 transcription factor, which is involved in apoptosis and cell cycle arrest. However, p53-targeted therapies have limited application in lung cancer, since p53 is found to be mutated in more than half of lung cancers. In this study, we propose tumor suppressor FOXA2 as an alternative target protein for therapies against lung cancer and reveal a possible FOXA2-centered transcriptional regulation network by identifying new target genes and binding partners of FOXA2 by using various screening techniques. The genes encoding Glu/Asp-rich carboxy-terminal domain 2 (CITED2), nuclear receptor subfamily 0, group B, member 2 (NR0B2), cell adhesion molecule 1 (CADM1) and BCL2-associated X protein (BAX) were identified as putative target genes of FOXA2. Additionally, the proteins including highly similar to heat shock protein HSP 90-beta (HSP90A), heat shock 70 kDa protein 1A variant (HSPA1A), histone deacetylase 1 (HDAC1) and HDAC3 were identified as novel interacting partners of FOXA2. Moreover, we showed that FOXA2-dependent promoter activation of BAX and p21 genes is significantly reduced via physical interactions between the identified binding partners and FOXA2. These results provide opportunities to understand the FOXA2-centered transcriptional regulation network and novel therapeutic targets to modulate this network in p53-deficient lung cancer. - Highlights: • Identification of new target genes of FOXA2. • Identifications of novel interaction proteins of FOXA2. • Construction of FOXA2-centered transcriptional regulatory network in non-small cell lung cancer.

  14. Application of Artificial Neural Network in Predicting the Survival Rate of Gastric Cancer Patients

    OpenAIRE

    Biglarian, A; E. Hajizadeh; Kazemnejad, A; Zali, MR

    2011-01-01

    "nBackground: The aim of this study was to predict the survival rate of Iranian gastric cancer patients using the Cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients."nMethods: In this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery between 2002 and 2007 at the Taleghani Hospital (a referral center for gastrointestinal...

  15. Evaluating the impact of interdisciplinary research: a multilayer network approach

    CERN Document Server

    Omodei, Elisa; Arenas, Alex

    2016-01-01

    Nowadays, scientific challenges usually require approaches that cross traditional boundaries between academic disciplines, driving many researchers towards interdisciplinarity. Despite its obvious importance, there is a lack of studies on how to quantify the influence of interdisciplinarity on the research impact, posing uncertainty in a proper evaluation for hiring and funding purposes. Here we propose a method based on the analysis of bipartite interconnected multilayer networks of citations and disciplines, to assess scholars, institutions and countries interdisciplinary importance. Using data about physics publications and US patents, we show that our method allows to reveal, using a quantitative approach, that being more interdisciplinary causes -- in the Granger sense -- benefits in scientific productivity and impact. The proposed method could be used by funding agencies, universities and scientific policy decision makers for hiring and funding purposes, and to complement existing methods to rank univer...

  16. System-scale network modeling of cancer using EPoC.

    Science.gov (United States)

    Abenius, Tobias; Jörnsten, Rebecka; Kling, Teresia; Schmidt, Linnéa; Sánchez, José; Nelander, Sven

    2012-01-01

    One of the central problems of cancer systems biology is to understand the complex molecular changes of cancerous cells and tissues, and use this understanding to support the development of new targeted therapies. EPoC (Endogenous Perturbation analysis of Cancer) is a network modeling technique for tumor molecular profiles. EPoC models are constructed from combined copy number aberration (CNA) and mRNA data and aim to (1) identify genes whose copy number aberrations significantly affect target mRNA expression and (2) generate markers for long- and short-term survival of cancer patients. Models are constructed by a combination of regression and bootstrapping methods. Prognostic scores are obtained from a singular value decomposition of the networks. We have previously analyzed the performance of EPoC using glioblastoma data from The Cancer Genome Atlas (TCGA) consortium, and have shown that resulting network models contain both known and candidate disease-relevant genes as network hubs, as well as uncover predictors of patient survival. Here, we give a practical guide how to perform EPoC modeling in practice using R, and present a set of alternative modeling frameworks.

  17. Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling

    Science.gov (United States)

    Creixell, Pau; Schoof, Erwin M.; Simpson, Craig D.; Longden, James; Miller, Chad J.; Lou, Hua Jane; Perryman, Lara; Cox, Thomas R.; Zivanovic, Nevena; Palmeri, Antonio; Wesolowska-Andersen, Agata; Helmer-Citterich, Manuela; Ferkinghoff-Borg, Jesper; Itamochi, Hiroaki; Bodenmiller, Bernd; Erler, Janine T.; Turk, Benjamin E.; Linding, Rune

    2015-01-01

    Summary Cancer cells acquire pathological phenotypes through accumulation of mutations that perturb signaling networks. However, global analysis of these events is currently limited. Here, we identify six types of network-attacking mutations (NAMs), including changes in kinase and SH2 modulation, network rewiring, and the genesis and extinction of phosphorylation sites. We developed a computational platform (ReKINect) to identify NAMs and systematically interpreted the exomes and quantitative (phospho-)proteomes of five ovarian cancer cell lines and the global cancer genome repository. We identified and experimentally validated several NAMs, including PKCγ M501I and PKD1 D665N, which encode specificity switches analogous to the appearance of kinases de novo within the kinome. We discover mutant molecular logic gates, a drift toward phospho-threonine signaling, weakening of phosphorylation motifs, and kinase-inactivating hotspots in cancer. Our method pinpoints functional NAMs, scales with the complexity of cancer genomes and cell signaling, and may enhance our capability to therapeutically target tumor-specific networks. PMID:26388441

  18. Quantitative network measures as biomarkers for classifying prostate cancer disease states: a systems approach to diagnostic biomarkers.

    Directory of Open Access Journals (Sweden)

    Matthias Dehmer

    Full Text Available Identifying diagnostic biomarkers based on genomic features for an accurate disease classification is a problem of great importance for both, basic medical research and clinical practice. In this paper, we introduce quantitative network measures as structural biomarkers and investigate their ability for classifying disease states inferred from gene expression data from prostate cancer. We demonstrate the utility of our approach by using eigenvalue and entropy-based graph invariants and compare the results with a conventional biomarker analysis of the underlying gene expression data.

  19. Neural networks improve brain cancer detection with Raman spectroscopy in the presence of light artifacts

    Science.gov (United States)

    Jermyn, Michael; Desroches, Joannie; Mercier, Jeanne; St-Arnaud, Karl; Guiot, Marie-Christine; Petrecca, Kevin; Leblond, Frederic

    2016-03-01

    It is often difficult to identify cancer tissue during brain cancer (glioma) surgery. Gliomas invade into areas of normal brain, and this cancer invasion is frequently not detected using standard preoperative magnetic resonance imaging (MRI). This results in enduring invasive cancer following surgery and leads to recurrence. A hand-held Raman spectroscopy is able to rapidly detect cancer invasion in patients with grade 2-4 gliomas. However, ambient light sources can produce spectral artifacts which inhibit the ability to distinguish between cancer and normal tissue using the spectral information available. To address this issue, we have demonstrated that artificial neural networks (ANN) can accurately classify invasive cancer versus normal brain tissue, even when including measurements with significant spectral artifacts from external light sources. The non-parametric and adaptive model used by ANN makes it suitable for detecting complex non-linear spectral characteristics associated with different tissues and the confounding presence of light artifacts. The use of ANN for brain cancer detection with Raman spectroscopy, in the presence of light artifacts, improves the robustness and clinical translation potential for intraoperative use. Integration with the neurosurgical workflow is facilitated by accounting for the effect of light artifacts which may occur, due to operating room lights, neuronavigation systems, windows, or other light sources. The ability to rapidly detect invasive brain cancer under these conditions may reduce residual cancer remaining after surgery, and thereby improve patient survival.

  20. Funding Opportunities Available for Innovative SBIR Development - Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    Does your small business need early-stage financing to take its cancer research to the next level? The National Cancer Institute Small Business Innovation Research (NCI SBIR) Development Center has released $5 million for new contract funding opportunities to support cancer research and technology development in key emerging areas of need.

  1. A bibliometric analysis of diets and breast cancer research.

    Science.gov (United States)

    Kotepui, Manas; Wannaiampikul, Sivaporn; Chupeerach, Chaowanee; Duangmano, Suwit

    2014-01-01

    Breast cancer is the most common cancer among women worldwide. The primary aim of this work was to provide an in-depth evaluation of research publications in the field of diets and breast cancer. The impact of economic outcome on national academic productivity was also investigated. Data were retrieved using Pubmed for English-language publications. The search included all research for which articles included words relating to "diets and breast cancer". Population and national income data were obtained from publicly available databases. Impact factors for journals were obtained from Journal Citation Reports® (Thomson Scientific). There were 2,396 publications from 60 countries in 384 journals with an impact factor. Among them, 1,652 (68.94%) publications were Original articles. The United States had the highest quantity (51% of total) and highest of mean impact factor (8.852) for publication. Sweden had the highest productivity of publication when adjusted for number of population (6 publications per million population). Publications from the Asian nation increased from 5.3% in 2006 to 14.6% in 2012. The Original article type was also associated with geography (p<0.001; OR=2.183; 95%CI=1.526-3.123), Asian countries produced more proportion of Original articles (82%) than those of rest of the world (67.6%). Diets and breast cancer-associated research output continues to increase annually worldwide including publications from Asian countries. Although the United States produced the most publications, European nations per capita were higher in publication output.

  2. Research Network of Tehran Defined Population: Methodology and Establishment

    Directory of Open Access Journals (Sweden)

    Ali-Asghar Kolahi

    2015-12-01

    Full Text Available Background: We need a defined population for determining prevalence and incidence of diseases, as well as conducting interventional, cohort and longitudinal studies, calculating correct and timely public health indicators, assessing actual health needs of community, performing educational programs and interventions to promote healthy lifestyle, and enhancing quality of primary health services.The objective of this project was to determine a defined population which is representative of Tehran, the Capital of Iran. This article reports the methodology and establishment of the research network of Tehran defined population.Methods: This project started by selecting two urban health centers from each of the five district health centers affiliated to Shahid Beheshti University of Medical Sciences in 2012. Inside each selected urban health center, one defined population research station was established. Two new centers have been added during 2013 and 2014. For the time being, the number of the covered population of the network has reached 40000 individuals. The most important criterion for the defined population has been to be representative of the population of Tehran. For this, we selected two urban health centers from 12 of 22 municipality districts and from each of the five different socioeconomic of Greater Tehran. Merely 80000 individuals in neighborhoods of each defined population research station were considered as control group of the project.Findings: Totally we selected 12 defined population research stations and their under-covered population developed a defined population which is representative of Tehran population.Conclusion: a population lab is ready now in metropolitan of Tehran.

  3. Tissue-engineered models of human tumors for cancer research

    Science.gov (United States)

    Villasante, Aranzazu; Vunjak-Novakovic, Gordana

    2015-01-01

    Introduction Drug toxicity often goes undetected until clinical trials, which are the most costly and dangerous phase of drug development. Both the cultures of human cells and animal studies have limitations that cannot be overcome by incremental improvements in drug-testing protocols. A new generation of bioengineered tumors is now emerging in response to these limitations, with potential to transform drug screening by providing predictive models of tumors within their tissue context, for studies of drug safety and efficacy. An area that could greatly benefit from these models is cancer research. Areas covered In this review, the authors first describe the engineered tumor systems, using Ewing's sarcoma as an example of human tumor that cannot be predictably studied in cell culture and animal models. Then, they discuss the importance of the tissue context for cancer progression and outline the biomimetic principles for engineering human tumors. Finally, they discuss the utility of bioengineered tumor models for cancer research and address the challenges in modeling human tumors for use in drug discovery and testing. Expert opinion While tissue models are just emerging as a new tool for cancer drug discovery, they are already demonstrating potential for recapitulating, in vitro, the native behavior of human tumors. Still, numerous challenges need to be addressed before we can have platforms with a predictive power appropriate for the pharmaceutical industry. Some of the key needs include the incorporation of the vascular compartment, immune system components, and mechanical signals that regulate tumor development and function. PMID:25662589

  4. The Current State of Research on Networks in China’s Business System

    NARCIS (Netherlands)

    J. Meuer (Johannes); B. Krug (Barbara)

    2009-01-01

    textabstractThe purpose of the paper is to assess the current state of network research in China’s business system. Research on networks has developed significantly during the last decades in regards to analytic techniques, number of research projects, and accumulated findings. While research on net

  5. Network Medicine Strikes a Blow against Breast Cancer

    DEFF Research Database (Denmark)

    Erler, Janine Terra; Linding, Rune

    2012-01-01

    Drug development for complex diseases is shifting from targeting individual proteins or genes to systems-based attacks targeting dynamic network states. Lee et al. now reveal how the progressive rewiring of a signaling network over time following EGF receptor inhibition leaves triple-negative...

  6. Cancer Treatment-Related Cardiotoxicity: Understanding the Current State of Knowledge and Developing Future Research Priorities

    Science.gov (United States)

    Cancer Treatment-Related Cardiotoxicity: Understanding the Current State of Knowledge and Developing Future Research Priorities, a 2013 workshop sponsored by the Epidemiology and Genomics Research Program.

  7. Functional analysis of prognostic gene expression network genes in metastatic breast cancer models.

    Directory of Open Access Journals (Sweden)

    Thomas R Geiger

    Full Text Available Identification of conserved co-expression networks is a useful tool for clustering groups of genes enriched for common molecular or cellular functions [1]. The relative importance of genes within networks can frequently be inferred by the degree of connectivity, with those displaying high connectivity being significantly more likely to be associated with specific molecular functions [2]. Previously we utilized cross-species network analysis to identify two network modules that were significantly associated with distant metastasis free survival in breast cancer. Here, we validate one of the highly connected genes as a metastasis associated gene. Tpx2, the most highly connected gene within a proliferation network specifically prognostic for estrogen receptor positive (ER+ breast cancers, enhances metastatic disease, but in a tumor autonomous, proliferation-independent manner. Histologic analysis suggests instead that variation of TPX2 levels within disseminated tumor cells may influence the transition between dormant to actively proliferating cells in the secondary site. These results support the co-expression network approach for identification of new metastasis-associated genes to provide new information regarding the etiology of breast cancer progression and metastatic disease.

  8. Detection of gene communities in multi-networks reveals cancer drivers

    Science.gov (United States)

    Cantini, Laura; Medico, Enzo; Fortunato, Santo; Caselle, Michele

    2015-12-01

    We propose a new multi-network-based strategy to integrate different layers of genomic information and use them in a coordinate way to identify driving cancer genes. The multi-networks that we consider combine transcription factor co-targeting, microRNA co-targeting, protein-protein interaction and gene co-expression networks. The rationale behind this choice is that gene co-expression and protein-protein interactions require a tight coregulation of the partners and that such a fine tuned regulation can be obtained only combining both the transcriptional and post-transcriptional layers of regulation. To extract the relevant biological information from the multi-network we studied its partition into communities. To this end we applied a consensus clustering algorithm based on state of art community detection methods. Even if our procedure is valid in principle for any pathology in this work we concentrate on gastric, lung, pancreas and colorectal cancer and identified from the enrichment analysis of the multi-network communities a set of candidate driver cancer genes. Some of them were already known oncogenes while a few are new. The combination of the different layers of information allowed us to extract from the multi-network indications on the regulatory pattern and functional role of both the already known and the new candidate driver genes.

  9. P53 tumor suppression network in cancer epigenetics.

    Science.gov (United States)

    Mishra, Alok; Brat, Daniel J; Verma, Mukesh

    2015-01-01

    The tumor suppressor p53 is one of the most complex and widely studied genes in cancer biology. In spite of the vast on literature the transcriptional regulation of p53, aspects of its especially epigenetic regulation are not completely understood. This chapter presents a concise overview of p53-related epigenetic events involved in oncogenesis and tumor suppression. We limit the scope to epigenetic modifications of the p53 promoter per se as well as its well-established downstream targets. The indirect role of p53 affecting the epigenetic machinery of cancer cells via specific proteins and transcription factors is discussed. Current concepts of p53-related cancer epigenetics offer myriad avenues for cancer therapies. Challenges in the field are also discussed.

  10. Cancer genomics object model: an object model for multiple functional genomics data for cancer research.

    Science.gov (United States)

    Park, Yu Rang; Lee, Hye Won; Cho, Sung Bum; Kim, Ju Han

    2007-01-01

    The development of functional genomics including transcriptomics, proteomics and metabolomics allow us to monitor a large number of key cellular pathways simultaneously. Several technology-specific data models have been introduced for the representation of functional genomics experimental data, including the MicroArray Gene Expression-Object Model (MAGE-OM), the Proteomics Experiment Data Repository (PEDRo), and the Tissue MicroArray-Object Model (TMA-OM). Despite the increasing number of cancer studies using multiple functional genomics technologies, there is still no integrated data model for multiple functional genomics experimental and clinical data. We propose an object-oriented data model for cancer genomics research, Cancer Genomics Object Model (CaGe-OM). We reference four data models: Functional Genomic-Object Model, MAGE-OM, TMAOM and PEDRo. The clinical and histopathological information models are created by analyzing cancer management workflow and referencing the College of American Pathology Cancer Protocols and National Cancer Institute Common Data Elements. The CaGe-OM provides a comprehensive data model for integrated storage and analysis of clinical and multiple functional genomics data.

  11. AHNS Series - Do you know your guidelines? Principles of treatment for nasopharyngeal cancer: A review of the National Comprehensive Cancer Network guidelines.

    Science.gov (United States)

    Gooi, Zhen; Richmon, Jeremy; Agrawal, Nishant; Blair, Elizabeth; Portugal, Louis; Vokes, Everett; Seiwert, Tanguy; de Souza, Jonas; Saloura, Vassiliki; Haraf, Daniel; Goldenberg, David; Chan, Jason

    2017-02-01

    This article is a continuation of the "Do You Know Your Guidelines" series, an initiative of the American Head and Neck Society's Education Committee to increase awareness of current best practices pertaining to head and neck cancer. The National Comprehensive Cancer Network guidelines for the management of nasopharyngeal cancer are reviewed here in a systematic fashion. These guidelines outline the workup, treatment and surveillance of patients with nasopharyngeal cancer. © 2016 Wiley Periodicals, Inc. Head Neck 39: 201-205, 2017.

  12. Overcoming the challenges to consumer involvement in cancer research

    OpenAIRE

    Stevens, Tony; Wilde, David; Hunt, John; Ahmedzai, Sam H

    2003-01-01

    Introduction  Within the last decade, there have been many government initiatives to promote consumer involvement in research, especially in cancer. At the same time, the number and influence of consumer groups themselves have expanded. However, the organizational infrastructure necessary to facilitate consumer involvement has not been developed. Consequently, consumer involvement has tended to remain essentially localized and project driven, with no strategic or regional lead.

  13. An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies.

    Science.gov (United States)

    Lancashire, Lee J; Lemetre, Christophe; Ball, Graham R

    2009-05-01

    Applications of genomic and proteomic technologies have seen a major increase, resulting in an explosion in the amount of highly dimensional and complex data being generated. Subsequently this has increased the effort by the bioinformatics community to develop novel computational approaches that allow for meaningful information to be extracted. This information must be of biological relevance and thus correlate to disease phenotypes of interest. Artificial neural networks are a form of machine learning from the field of artificial intelligence with proven pattern recognition capabilities and have been utilized in many areas of bioinformatics. This is due to their ability to cope with highly dimensional complex datasets such as those developed by protein mass spectrometry and DNA microarray experiments. As such, neural networks have been applied to problems such as disease classification and identification of biomarkers. This review introduces and describes the concepts related to neural networks, the advantages and caveats to their use, examples of their applications in mass spectrometry and microarray research (with a particular focus on cancer studies), and illustrations from recent literature showing where neural networks have performed well in comparison to other machine learning methods. This should form the necessary background knowledge and information enabling researchers with an interest in these methodologies, but not necessarily from a machine learning background, to apply the concepts to their own datasets, thus maximizing the information gain from these complex biological systems.

  14. The Networking and Information Technology Research and Development NITRD Program 2012 Strategic Plan

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — Information technology IT computers, wired and wireless digital networks, electronic data and information, IT devices and systems, and software applications?today...

  15. Social learning in Learning Networks through peer support: research findings and pitfalls

    NARCIS (Netherlands)

    Brouns, Francis

    2012-01-01

    Brouns, F. (2012, 2-4 April). Social learning in Learning Networks through peer support: research findings and pitfalls. Presentation at the Eighth International Conference on Networked Learning 2012, Maastricht, The Netherlands.

  16. Inferring regulatory element landscapes and transcription factor networks from cancer methylomes.

    Science.gov (United States)

    Yao, Lijing; Shen, Hui; Laird, Peter W; Farnham, Peggy J; Berman, Benjamin P

    2015-05-21

    Recent studies indicate that DNA methylation can be used to identify transcriptional enhancers, but no systematic approach has been developed for genome-wide identification and analysis of enhancers based on DNA methylation. We describe ELMER (Enhancer Linking by Methylation/Expression Relationships), an R-based tool that uses DNA methylation to identify enhancers and correlates enhancer state with expression of nearby genes to identify transcriptional targets. Transcription factor motif analysis of enhancers is coupled with expression analysis of transcription factors to infer upstream regulators. Using ELMER, we investigated more than 2,000 tumor samples from The Cancer Genome Atlas. We identified networks regulated by known cancer drivers such as GATA3 and FOXA1 (breast cancer), SOX17 and FOXA2 (endometrial cancer), and NFE2L2, SOX2, and TP63 (squamous cell lung cancer). We also identified novel networks with prognostic associations, including RUNX1 in kidney cancer. We propose ELMER as a powerful new paradigm for understanding the cis-regulatory interface between cancer-associated transcription factors and their functional target genes.

  17. Cancer

    Science.gov (United States)

    ... cancer Non-Hodgkin lymphoma Ovarian cancer Pancreatic cancer Testicular cancer Thyroid cancer Uterine cancer Symptoms Symptoms of cancer ... tumor Obesity Pancreatic cancer Prostate cancer Stomach cancer Testicular cancer Throat or larynx cancer Thyroid cancer Patient Instructions ...

  18. Consumer input into research: the Australian Cancer Trials website

    Directory of Open Access Journals (Sweden)

    Butow Phyllis N

    2011-06-01

    Full Text Available Abstract Background The Australian Cancer Trials website (ACTO was publicly launched in 2010 to help people search for cancer clinical trials recruiting in Australia, provide information about clinical trials and assist with doctor-patient communication about trials. We describe consumer involvement in the design and development of ACTO and report our preliminary patient evaluation of the website. Methods Consumers, led by Cancer Voices NSW, provided the impetus to develop the website. Consumer representative groups were consulted by the research team during the design and development of ACTO which combines a search engine, trial details, general information about trial participation and question prompt lists. Website use was analysed. A patient evaluation questionnaire was completed at one hospital, one week after exposure to the website. Results ACTO's main features and content reflect consumer input. In February 2011, it covered 1, 042 cancer trials. Since ACTO's public launch in November 2010, until the end of February 2011, the website has had 2, 549 new visits and generated 17, 833 page views. In a sub-study of 47 patient users, 89% found the website helpful for learning about clinical trials and all respondents thought patients should have access to ACTO. Conclusions The development of ACTO is an example of consumers working with doctors, researchers and policy makers to improve the information available to people whose lives are affected by cancer and to help them participate in their treatment decisions, including consideration of clinical trial enrolment. Consumer input has ensured that the website is informative, targets consumer priorities and is user-friendly. ACTO serves as a model for other health conditions.

  19. Personal identifiers in medical research networks: evaluation of the personal identifier generator in the Competence Network Paediatric Oncology and Haematology

    Directory of Open Access Journals (Sweden)

    Pommerening, Klaus

    2006-06-01

    Full Text Available The Society for Paediatric Oncology and Haematology (GPOH and the corresponding Competence Network Paediatric Oncology and Haematology conduct various clinical trials. The comprehensive analysis requires reliable identification of the recruited patients. Therefore, a personal identifier (PID generator is used to assign unambiguous, pseudonymous, non-reversible PIDs to participants in those trials. We tested the matching algorithm of the PID generator using a configuration specific to the GPOH. False data was used to verify the correct processing of PID requests (functionality tests, while test data was used to evaluate the matching outcome. We also assigned PIDs to more than 44,000 data records from the German Childhood Cancer Registry (GCCR and assessed the status of the associated patient list which contains the PIDs, partly encrypted data items and information on the PID generation process for each data record. All the functionality tests showed the expected results. Neither 14,915 test data records nor the GCCR data records yielded any homonyms. Six synonyms were found in the test data, due to erroneous birth dates, and 22 synonyms were found when the GCCR data was run against the actual patient list of 2579 records. In the resulting patient list of 45,693 entries, duplicate record submissions were found for about 7% of all listed patients, while more frequent submissions occurred in less than 1% of cases. The synonym error rate depends mainly on the quality of the input data and on the frequency of multiple submissions. Depending on the requirements on maximally tolerable synonym and homonym error rates, additional measures for securing input data quality might be necessary. The results demonstrate that the PID generator is an appropriate tool for reliably identifying trial participants in medical research networks.

  20. Modeling Cancer Metastasis using Global, Quantitative and Integrative Network Biology

    DEFF Research Database (Denmark)

    Schoof, Erwin; Erler, Janine

    , with genomic modifications giving rise to differential protein dynamics, ultimately resulting in disease. The exact molecular signaling networks underlying specific disease phenotypes remain elusive, as the definition thereof requires extensive analysis of not only the genomic and proteomic landscapes within...

  1. Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure

    Science.gov (United States)

    Obeid, Jihad S; Johnson, Layne M; Stallings, Sarah; Eichmann, David

    2015-01-01

    Fostering collaborations across multiple disciplines within and across institutional boundaries is becoming increasingly important with the growing emphasis on translational research. As a result, Research Networking Systems that facilitate discovery of potential collaborators have received significant attention by institutions aiming to augment their research infrastructure. We have conducted a survey to assess the state of adoption of these new tools at the Clinical and Translational Science Award (CTSA) funded institutions. Survey results demonstrate that most CTSA funded institutions have either already adopted or were planning to adopt one of several available research networking systems. Moreover a good number of these institutions have exposed or plan to expose the data on research expertise using linked open data, an established approach to semantic web services. Preliminary exploration of these publically-available data shows promising utility in assessing cross-institutional collaborations. Further adoption of these technologies and analysis of the data are needed, however, before their impact on cross-institutional collaboration in research can be appreciated and measured. PMID:26491707

  2. WEGENER: World Earthquake GEodesy Network for Environmental Hazard Research

    Science.gov (United States)

    Ozener, Haluk; Zerbini, Susanna; Bastos, Luisa; Becker, Matthias; Meghraoui, Mustapha; Reilinger, Robert

    2013-04-01

    WEGENER is originally the acronym for Working Group of European Geoscientists for the Establishment of Networks for Earth-science Research. It was founded in March 1981 in response to an appeal delivered at the Journées Luxembourgeoises de Geodynamique in December 1980 to respond with a coordinated European proposal to a NASA Announcement of Opportunity inviting participation in the Crustal Dynamics and Earthquake Research Program. WEGENER, during the past 32 years, has always kept a close contact with the Agencies and Institutions responsible for the development and maintenance of the global space geodetic networks with the aim to make them aware of the scientific needs and outcomes of the project which might have an influence on the general science policy trends. WEGENER was serving as Inter-commission Project 3.2, between Commission 1 and Commission 3, of the International Association of Geodesy (IAG) until 2012. Since then, WEGENER project has became the Sub-commission 3.5 of IAG commission 3, namely Tectonics and Earthquake Geodesy. In this study, we briefly review the accomplishments of WEGENER as originally conceived and outline and justify the new focus of the WEGENER consortium. The remarkable and rapid evolution of the present state of global geodetic monitoring in regard to the precision of positioning capabilities (and hence deformation) and global coverage, the development of InSAR for monitoring strain with unprecedented spatial resolution, and continuing and planned data from highly precise satellite gravity and altimetry missions, encourage us to shift principal attention from mainly monitoring capabilities by a combination of space and terrestrial geodetic techniques to applying existing observational methodologies to the critical geophysical phenomena that threaten our planet and society. Our new focus includes developing an improved physical basis to mitigate earthquake, tsunami, and volcanic risks, and the effects of natural and anthropogenic

  3. A Space Operations Network Alternative: Using the Globally Connected Research and Education Networks for Space-based Science Operations

    Science.gov (United States)

    Bradford, Robert N.

    2006-01-01

    Earth based networking in support of various space agency projects has been based on leased service/circuits which has a high associated cost. This cost is almost always taken from the science side resulting in less science. This is a proposal to use Research and Education Networks (RENs) worldwide to support space flight operations in general and space-based science operations in particular. The RENs were developed to support scientific and educational endeavors. They do not provide support for general Internet traffic. The connectivity and performance of the research and education networks is superb. The connectivity at Layer 3 (IP) virtually encompasses the globe. Most third world countries and all developed countries have their own research and education networks, which are connected globally. Performance of the RENs especially in the developed countries is exceptional. Bandwidth capacity currently exists and future expansion promises that this capacity will continue. REN performance statistics has always exceeded minimum requirements for spaceflight support. Research and Education networks are more loosely managed than a corporate network but are highly managed when compared to the commodity Internet. Management of RENs on an international level is accomplished by the International Network Operations Center at Indiana University at Indianapolis. With few exceptions, each regional and national REN has its own network ops center. The acceptable use policies (AUP), although differing by country, allows any scientific program or project the use of their networks. Once in compliance with the first RENs AUP, all others will accept that specific traffic including regional and transoceanic networks. RENs can support spaceflight related scientific programs and projects. Getting the science to the researcher is obviously key to any scientific project. RENs provide a pathway to virtually any college or university in the world, as well as many governmental institutes and

  4. Research on Multi-Layer Distributed HF Radio Network Structure

    Institute of Scientific and Technical Information of China (English)

    Hui Dai; Chun-Jiang Wang; Quan Yu

    2008-01-01

    High frequency (HF) transmission is an important communication techniques. However, conventional point-to-point transmission can be easily destroyed, which limits its utilization in practice. HF networking communication has the capability against demolishment. The network structure is one of the key factors for HF networking communication. In this paper, a novel analysis method of the network connectedness based on the eigenvalue is derived, and a multi-layer distributed HF radio network structure is proposed. Both the theore tical analysis and the computer simulation results verify that the application of the proposed network structure in the HF radio communication can improve the anti demolishment ability of the HF network efficiently.

  5. Supportive and Palliative Care Research Clinical Trials | Division of Cancer Prevention

    Science.gov (United States)

    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.

  6. Supportive and Palliative Care Research Funding Opportunities | Division of Cancer Prevention

    Science.gov (United States)

    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. The Ontario Drug Policy Research Network: bridging the gap between Research and Drug Policy.

    Science.gov (United States)

    Khan, Sobia; Moore, Julia E; Gomes, Tara; Camacho, Ximena; Tran, Judy; McAuley, Glenn; Juurlink, David N; Paterson, Michael; Laupacis, Andreas; Mamdani, Muhammad M

    2014-09-01

    Policymakers have cited several barriers to using evidence in policy decisions, including lack of research relevance and timeliness. In recent years, several reports have focused on the successes and challenges of researcher-policymaker collaborations, a form of policy engagement intended to help overcome barriers to the use of research evidence in policymaking. Although these reports often demonstrate an increase in research relevance, rarely do they provide concrete methods of enhancing research timeliness, which is surprising given policymakers' expressed need to receive "rapid-response" research. Additionally, the impact of researcher-policymaker collaborations is not well-discussed. In this paper, we aim to describe the collaboration between the Ontario Drug Policy Research Network (ODPRN) and its policymaker partner, the Ontario Public Drug Program (OPDP), with a particular focus on the ODPRN's research methodology and unique rapid-response approach for policy engagement. This approach is illustrated through a specific case example regarding drug funding policies for pulmonary arterial hypertension. Moreover, we discuss the impact of the ODPRN's research on pharmaceutical policy and lessons learned throughout the ODPRN and OPDP's five-year partnership. The described experiences will be valuable to those seeking to enhance evidence uptake in policymaking for immediate policy needs.

  8. Cancer Research Participation Beliefs and Behaviors of a Southern Black Population: A Quantitative Analysis of the Role of Structural Factors in Cancer Research Participation.

    Science.gov (United States)

    Farr, Deeonna E; Brandt, Heather M; Comer, Kimberly D; Jackson, Dawnyéa D; Pandya, Kinjal; Friedman, Daniela B; Ureda, John R; Williams, Deloris G; Scott, Dolores B; Green, Wanda; Hébert, James R

    2015-09-01

    Increasing the participation of Blacks in cancer research is a vital component of a strategy to reduce racial inequities in cancer burden. Community-based participatory research (CBPR) is especially well-suited to advancing our knowledge of factors that influence research participation to ultimately address cancer-related health inequities. A paucity of literature focuses on the role of structural factors limiting participation in cancer research. As part of a larger CBPR project, we used survey data from a statewide cancer needs assessment of a Black faith community to examine the influence of structural factors on attitudes toward research and the contributions of both structural and attitudinal factors on whether individuals participate in research. Regression analyses and non-parametric statistics were conducted on data from 727 adult survey respondents. Structural factors, such as having health insurance coverage, experiencing discrimination during health care encounters, and locale, predicted belief in the benefits, but not the risks, of research participation. Positive attitudes toward research predicted intention to participate in cancer research. Significant differences in structural and attitudinal factors were found between cancer research participants and non-participants; however, directionality is confounded by the cross-sectional survey design and causality cannot be determined. This study points to complex interplay of structural and attitudinal factors on research participation as well as need for additional quantitative examinations of the various types of factors that influence research participation in Black communities.

  9. RESEARCH ON FRACTAL CHARACTERISTICS OF URBAN TRAFFIC NETWORK STRUCTURE BASED ON GIS

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Traffic network is an importance aspect of researching controllable parameters of an urban spatial morpholo-gy. Based on GIS, traffic network structure complexity can be understood by using fractal geometry in which thelength-radius dimension describes change of network density, and ramification-radius dimension describes complexity andaccessibility of urban network. It is propitious to analyze urban traffic network and to understand dynamic change processof traffic network using expanding fractal-dimension quantification. Meanwhile the length-radius dimension and ramifica-tion-radius dimension could be regard as reference factor of quantitative describing urban traffic network.

  10. An Overview of Computer Network security and Research Technology

    OpenAIRE

    Rathore, Vandana

    2016-01-01

    The rapid development in the field of computer networks and systems brings both convenience and security threats for users. Security threats include network security and data security. Network security refers to the reliability, confidentiality, integrity and availability of the information in the system. The main objective of network security is to maintain the authenticity, integrity, confidentiality, availability of the network. This paper introduces the details of the technologies used in...

  11. Determinants of Research and Development Intensity from a Network Perspective

    Directory of Open Access Journals (Sweden)

    Teng Joe K.L.

    2016-12-01

    Full Text Available We model and examine the research and development (R&D intensity of a focal industry from an inter-industry network perspective. More specifically, we estimate how a focal industry’s R&D investment is affected by partner (suppliers and customers industries’ R&D expenditure. We also investigate the impact of the overall economy on the focal industry’s R&D expenditure and finally how a focal industry’s position in the supply chain network moderates the overall economy’s impact on the focal industry’s R&D expenditure. We found that, in general, a focal industry’s R&D intensity is positively associated with its partner industries’ R&D intensity. In addition, an industry’s R&D intensity is positively associated with the growth rate of the overall economy. Finally, we found that a more central industry is subjected to a stronger impact of macroeconomic shocks on its R&D intensity though there is no significant association between an industry’s centrality and its R&D intensity.

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

    Science.gov (United States)

    ... the body’s immune system fight the cancer. A Korean study showed that combining chemotherapy with an immunotherapy ... Cancer Atlas Press Room Cancer Statistics Center Volunteer Learning Center Follow Us Twitter Facebook Instagram Cancer Information, ...

  13. Lower Breast Cancer Risk among Women following the World Cancer Research Fund and American Institute for Cancer Research Lifestyle Recommendations: EpiGEICAM Case-Control Study.

    Directory of Open Access Journals (Sweden)

    Adela Castelló

    Full Text Available According to the "World Cancer Research Fund" and the "American Institute of Cancer Research" (WCRF/AICR one in four cancer cases could be prevented through a healthy diet, weight control and physical activity.To explore the association between the WCRF/AICR recommendations and risk of breast cancer.During the period 2006 to 2011 we recruited 973 incident cases of breast cancer and 973 controls from 17 Spanish Regions. We constructed a score based on 9 of the WCRF/AICR recommendations for cancer prevention:: 1Maintain adequate body weight; 2Be physically active; 3Limit the intake of high density foods; 4Eat mostly plant foods; 5Limit the intake of animal foods; 6Limit alcohol intake; 7Limit salt and salt preserved food intake; 8Meet nutritional needs through diet; S1Breastfeed infants exclusively up to 6 months. We explored its association with BC by menopausal status and by intrinsic tumor subtypes (ER+/PR+ & HER2-; HER2+; ER&PR-&HER2- using conditional and multinomial logistic models respectively.Our results point to a linear association between the degree of noncompliance and breast cancer risk. Taking women who met 6 or more recommendations as reference, those meeting less than 3 showed a three-fold excess risk (OR=2.98(CI95%:1.59-5.59, especially for postmenopausal women (OR=3.60(CI95%:1.24;10.47 and ER+/PR+&HER2- (OR=3.60(CI95%:1.84;7.05 and HER2+ (OR=4.23(CI95%:1.66;10.78 tumors. Noncompliance of recommendations regarding the consumption of foods and drinks that promote weight gain in premenopausal women (OR=2.24(CI95%:1.18;4.28; p for interaction=0.014 and triple negative tumors (OR=2.93(CI95%:1.12-7.63; the intake of plant foods in postmenopausal women (OR=2.35(CI95%:1.24;4.44 and triple negative tumors (OR=3.48(CI95%:1.46-8.31; and the alcohol consumption in ER+/PR+&HER2- tumors (OR=1.52 (CI95%:1.06-2.19 showed the strongest associations.Breast cancer prevention might be possible by following the "World Cancer Research Fund" and the

  14. The Geropathology Research Network: An Interdisciplinary Approach for Integrating Pathology Into Research on Aging.

    Science.gov (United States)

    Ladiges, Warren; Ikeno, Yuji; Niedernhofer, Laura; McIndoe, Richard A; Ciol, Marcia A; Ritchey, Jerry; Liggitt, Denny

    2016-04-01

    Geropathology is the study of aging and age-related lesions and diseases in the form of whole necropsies/autopsies, surgical biopsies, histology, and molecular biomarkers. It encompasses multiple subspecialties of geriatrics, anatomic pathology, molecular pathology, clinical pathology, and gerontology. In order to increase the consistency and scope of communication in the histologic and molecular pathology assessment of tissues from preclinical and clinical aging studies, a Geropathology Research Network has been established consisting of pathologists and scientists with expertise in the comparative pathology of aging, the design of aging research studies, biostatistical methods for analysis of aging data, and bioinformatics for compiling and annotating large sets of data generated from aging studies. The network provides an environment to promote learning and exchange of scientific information and ideas for the aging research community through a series of symposia, the development of uniform ways of integrating pathology into aging studies, and the statistical analysis of pathology data. The efforts of the network are ultimately expected to lead to a refined set of sentinel biomarkers of molecular and anatomic pathology that could be incorporated into preclinical and clinical aging intervention studies to increase the relevance and productivity of these types of investigations.

  15. Major Programs | Division of Cancer Prevention

    Science.gov (United States)

    The Division of Cancer Prevention supports major scientific collaborations, research networks, investigator-initiated grants, postdoctoral training, and specialized resources across the United States. |

  16. DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer.

    Science.gov (United States)

    Bashashati, Ali; Haffari, Gholamreza; Ding, Jiarui; Ha, Gavin; Lui, Kenneth; Rosner, Jamie; Huntsman, David G; Caldas, Carlos; Aparicio, Samuel A; Shah, Sohrab P

    2012-12-22

    Simultaneous interrogation of tumor genomes and transcriptomes is underway in unprecedented global efforts. Yet, despite the essential need to separate driver mutations modulating gene expression networks from transcriptionally inert passenger mutations, robust computational methods to ascertain the impact of individual mutations on transcriptional networks are underdeveloped. We introduce a novel computational framework, DriverNet, to identify likely driver mutations by virtue of their effect on mRNA expression networks. Application to four cancer datasets reveals the prevalence of rare candidate driver mutations associated with disrupted transcriptional networks and a simultaneous modulation of oncogenic and metabolic networks, induced by copy number co-modification of adjacent oncogenic and metabolic drivers. DriverNet is available on Bioconductor or at http://compbio.bccrc.ca/software/drivernet/.

  17. Regulators of genetic risk of breast cancer identified by integrative network analysis.

    Science.gov (United States)

    Castro, Mauro A A; de Santiago, Ines; Campbell, Thomas M; Vaughn, Courtney; Hickey, Theresa E; Ross, Edith; Tilley, Wayne D; Markowetz, Florian; Ponder, Bruce A J; Meyer, Kerstin B

    2016-01-01

    Genetic risk for breast cancer is conferred by a combination of multiple variants of small effect. To better understand how risk loci might combine, we examined whether risk-associated genes share regulatory mechanisms. We created a breast cancer gene regulatory network comprising transcription factors and groups of putative target genes (regulons) and asked whether specific regulons are enriched for genes associated with risk loci via expression quantitative trait loci (eQTLs). We identified 36 overlapping regulons that were enriched for risk loci and formed a distinct cluster within the network, suggesting shared biology. The risk transcription factors driving these regulons are frequently mutated in cancer and lie in two opposing subgroups, which relate to estrogen receptor (ER)(+) luminal A or luminal B and ER(-) basal-like cancers and to different luminal epithelial cell populations in the adult mammary gland. Our network approach provides a foundation for determining the regulatory circuits governing breast cancer, to identify targets for intervention, and is transferable to other disease settings.

  18. Understanding and Targeting Cell Growth Networks in Breast Cancer

    Science.gov (United States)

    2013-04-01

    pathology  187(1):112-­‐126.   2.   Sherr  CJ  &  Weber  JD  (2000)  The  ARF/p53  pathway.  Current...J,  Solimini  NL,  &  Elledge  SJ  (2009)  Principles  of  cancer  therapy:  oncogene  and  non-­‐oncogene   addiction ...Cancer Res 2010; 70: 4749–4758. 32 Diederichs S, Haber DA. Dual role for argonautes in microRNA processing and posttranscriptional regulation of

  19. [Meta analysis of the use of Bayesian networks in breast cancer diagnosis].

    Science.gov (United States)

    Simões, Priscyla Waleska; Silva, Geraldo Doneda da; Moretti, Gustavo Pasquali; Simon, Carla Sasso; Winnikow, Erik Paul; Nassar, Silvia Modesto; Medeiros, Lidia Rosi; Rosa, Maria Inês

    2015-01-01

    The aim of this study was to determine the accuracy of Bayesian networks in supporting breast cancer diagnoses. Systematic review and meta-analysis were carried out, including articles and papers published between January 1990 and March 2013. We included prospective and retrospective cross-sectional studies of the accuracy of diagnoses of breast lesions (target conditions) made using Bayesian networks (index test). Four primary studies that included 1,223 breast lesions were analyzed, 89.52% (444/496) of the breast cancer cases and 6.33% (46/727) of the benign lesions were positive based on the Bayesian network analysis. The area under the curve (AUC) for the summary receiver operating characteristic curve (SROC) was 0.97, with a Q* value of 0.92. Using Bayesian networks to diagnose malignant lesions increased the pretest probability of a true positive from 40.03% to 90.05% and decreased the probability of a false negative to 6.44%. Therefore, our results demonstrated that Bayesian networks provide an accurate and non-invasive method to support breast cancer diagnosis.

  20. Modeling microRNA-transcription factor networks in cancer.

    Science.gov (United States)

    Aguda, Baltazar D

    2013-01-01

    An increasing number of transcription factors (TFs) and microRNAs (miRNAs) is known to form feedback loops (FBLs) of interactions where a TF positively or negatively regulates the expression of a miRNA, and the miRNA suppresses the translation of the TF messenger RNA. FBLs are potential sources of instability in a gene regulatory network. Positive FBLs can give rise to switching behaviors while negative FBLs can generate periodic oscillations. This chapter presents documented examples of FBLs and their relevance to stem cell renewal and differentiation in gliomas. Feed-forward loops (FFLs) are only discussed briefly because they do not affect network stability unless they are members of cycles. A primer on qualitative network stability analysis is given and then used to demonstrate the network destabilizing role of FBLs. Steps in model formulation and computer simulations are illustrated using the miR-17-92/Myc/E2F network as an example. This example possesses both negative and positive FBLs.