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BACKGROUND: The Mediterranean diet (MD) has been proposed as a means for cancer prevention, but little evidence has been accrued regarding its potential to prevent pancreatic cancer. We investigated the association between the adherence to the MD and pancreatic cancer risk within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. METHODS: Over half a million participants from 10 European countries were followed up for over 11 years, after which 865 newly diagnosed exocrine pancreatic cancer cases were identified. Adherence to the MD was estimated through an adapted score without the alcohol component (arMED) to discount alcohol-related harmful effects. Cox proportional hazards regression models, stratified by age, sex and centre, and adjusted for energy intake, body mass index, smoking status, alcohol intake and diabetes status at recruitment, were used to estimate hazard ratios (HRs) associated with pancreatic cancer and their corresponding 95% confidence intervals (CIs). RESULTS: Adherence to the arMED score was not associated with risk of pancreatic cancer (HR high vs low adherence=0.99; 95% CI: 0.77-1.26, and HR per increments of two units in adherence to arMED=1.00; 95% CI: 0.94-1.06). There was no convincing evidence for heterogeneity by smoking status, body mass index, diabetes or European region. There was also no evidence of significant associations in analyses involving microscopically confirmed cases, plausible reporters of energy intake or other definitions of the MD pattern. CONCLUSIONS: A high adherence to the MD is not associated with pancreatic cancer risk in the EPIC study. ; The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l'Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); The Hellenic Health Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (the Netherlands); ERC-2009-AdG 232997 and Nordforsk, Nordic Centre of Excellence programme on Food, Nutrition and Health (Norway); Health Research Fund (FIS), PI12/00002 co-funded by ERDF, PI13/00061 to Granada, PI13/01162 to Murcia, Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC (RD06/0020; Spain); WCR (15–0391); Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford; UK).

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.

Department of Energy (United States of America) ; National Science Foundation (United States of America) ; Australian Research Council (Australia) ; National Council for the Development of Science and Technology ; Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) ; Natural Sciences and Engineering Research Council (Canada) ; Chinese Academy of Sciences ; National Natural Science Foundation of China (China) ; Administrative Department of Science, Technology and Innovation (Colombia) ; Ministry of Education, Youth and Sports (Czech Republic) ; Academy of Finland (Finland) ; Alternative Energies and Atomic Energy Commission ; National Center for Scientific Research/National Institute of Nuclear and Particle Physics (France) ; Bundesministerium fur Bildung und Forschung (Federal Ministry of Education and Research) ; Deutsche Forschungsgemeinschaft (German Research Foundation) (Germany) ; Department of Atomic Energy (India) ; Department of Science and Technology (India) ; Science Foundation Ireland (Ireland) ; Istituto Nazionale di Fisica Nucleare (National Institute for Nuclear Physics) (Italy) ; Ministry of Education, Culture, Sports, Science and Technology (Japan) ; Korean World Class University Program ; National Research Foundation (Korea) ; National Council of Science and Technology (Mexico) ; Foundation for Fundamental Research on Matter (The Netherlands) ; National Science Council (Republic of China) ; Ministry of Education and Science of the Russian Federation ; National Research Center Kurchatov Institute of the Russian Federation ; Russian Foundation for Basic Research (Russia) ; Slovak R&D Agency (Slovakia) ; Ministry of Science and Innovation ; Consolider-Ingenio Program (Spain) ; Swedish Research Council (Sweden) ; Swiss National Science Foundation (Switzerland) ; Ministry of Education and Science of Ukraine (Ukraine) ; Science and Technology Facilities Council ; Royal Society (United Kingdom) ; A. P. Sloan Foundation (United States of America) ; European Union community Marie Curie Fellowship ; European Union community Marie Curie Fellowship: 302103 ; Drell-Yan lepton pairs produced in the process p (p) over bar -> l(+)l(-) + X through an intermediate gamma*/Z boson have an asymmetry in their angular distribution related to the spontaneous symmetry breaking of the electroweak force and the associated mixing of its neutral gauge bosons. The CDF and D0 experiments have measured the effective-leptonic electroweak mixing parameter sin(2) theta(lept)(eff) using electron and muon pairs selected from the full Tevatron proton-antiproton data sets collected in 2001-2011, corresponding to 9-10 fb(-1) of integrated luminosity. The combination of these measurements yields the most precise result from hadron colliders, sin(2)theta(lept)(eff) = 0.23148 +/- 0.00033. This result is consistent with, and approaches in precision, the best measurements from electron-positron colliders. The standard model inference of the on-shell electroweak mixing parameter sin(2) theta(W), or equivalently the W-boson mass M-W, using the ZFITTER software package yields sin(2) theta(W) = 0.22324 +/- 0.00033 or equivalently, M-W = 80.367 +/- 0.017 GeV/c(2).

Department of Energy ; National Science Foundation (U.S.A.) ; Australian Research Council (Australia) ; National Council for the Development of Science and Technology ; Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) ; European Union community Marie Curie Fellowship Contract ; European Union community Marie Curie Fellowship Contract: 302103 ; : DE-AC02-07CH11359 ; The CDF and D0 experiments at the Fermilab Tevatron have measured the asymmetry between yields of forward- and backward-produced top and antitop quarks based on their rapidity difference and the asymmetry between their decay leptons. These measurements use the full data sets collected in proton-antiproton collisions at a center-of-mass energy of root s = 1.96 TeV. We report the results of combinations of the inclusive asymmetries and their differential dependencies on relevant kinematic quantities. The combined inclusive asymmetry is A(FB)(t (t) over bar) = 0.128 +/- 0.025. The combined inclusive and differential asymmetries are consistent with recent standard model predictions.