Prostate Cancer (PCa) Risk Variants and Risk of Fatal PCa in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium

European Urology - Tập 65 - Trang 1069-1075 - 2014
Irene M. Shui1, Sara Lindström1, Adam S. Kibel2, Sonja I. Berndt3, Daniele Campa4, Travis Gerke1, Kathryn L. Penney1,5, Demetrius Albanes3, Christine Berg6, H. Bas Bueno-de-Mesquita7,8,9, Stephen Chanock3,10, E. David Crawford11, W. Ryan Diver12, Susan M. Gapstur12, J. Michael Gaziano1,13,14, Graham G. Giles15,16, Brian Henderson17, Robert Hoover3, Mattias Johansson18,19, Loic Le Marchand20
1Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
2Department of Surgery, Division of Urology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
3Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
4Genomic Epidemiology Group, German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany
5Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
6Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, MD, USA
7National Institute for Public Health and the Environment, Bilthoven, The Netherlands
8Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
9School of Public Health, Imperial College London, London, United Kingdom
10Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
11Urologic Oncology, University of Colorado, Denver, CO, USA
12Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
13Department of Medicine, Harvard Medical School, Boston, MA, USA
14Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
15Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
16Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
17Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
18International Agency for Research on Cancer, Lyon, France
19Department of Biobank Research, Umeå University, Umeå, Sweden
20Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA

Tài liệu tham khảo

Eeles, 2013, Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array, Nat Genet, 45, 385, 10.1038/ng.2560 Epstein, 2012, Temporal trends in cause of death among Swedish and US men with prostate cancer, J Natl Cancer Inst, 104, 1335, 10.1093/jnci/djs299 Penney, 2009, Evaluation of 8q24 and 17q risk loci and prostate cancer mortality, Clin Cancer Res, 15, 3223, 10.1158/1078-0432.CCR-08-2733 Wiklund, 2009, Established prostate cancer susceptibility variants are not associated with disease outcome, Cancer Epidemiol Biomarkers Prev, 18, 1659, 10.1158/1055-9965.EPI-08-1148 Gallagher, 2010, Susceptibility loci associated with prostate cancer progression and mortality, Clin Cancer Res, 16, 2819, 10.1158/1078-0432.CCR-10-0028 Pomerantz, 2011, Association of prostate cancer risk loci with disease aggressiveness and prostate cancer-specific mortality, Cancer Prev Res (Phila), 4, 719, 10.1158/1940-6207.CAPR-10-0292 Hunter, 2005, A candidate gene approach to searching for low-penetrance breast and prostate cancer genes, Nat Rev Cancer, 5, 977, 10.1038/nrc1754 Yeager, 2007, Genome-wide association study of prostate cancer identifies a second risk locus at 8q24, Nat Genet, 39, 645, 10.1038/ng2022 Lindström, 2012, Common genetic variants in prostate cancer risk prediction—results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3), Cancer Epidemiol Biomarkers Prev, 21, 437, 10.1158/1055-9965.EPI-11-1038 Lin, 1993, Checking the Cox model with cumulative sums of martingale-based residuals, Biometrika, 80, 557, 10.1093/biomet/80.3.557 Lin, 2011, Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies, Genet Epidemiol, 35, 620, 10.1002/gepi.20610 Wu, 2010, Powerful SNP-set analysis for case-control genome-wide association studies, Am J Hum Genet, 86, 929, 10.1016/j.ajhg.2010.05.002 Amin Al Olama, 2013, A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease, Hum Mol Genet, 22, 408, 10.1093/hmg/dds425 Lango Allen, 2010, Hundreds of variants clustered in genomic loci and biological pathways affect human height, Nature, 467, 832, 10.1038/nature09410 Blumenthal, 2007, Expression patterns of CEACAM5 and CEACAM6 in primary and metastatic cancers, BMC Cancer, 7, 2, 10.1186/1471-2407-7-2 Penney, 2011, Association of KLK3 (PSA) genetic variants with prostate cancer risk and PSA levels, Carcinogenesis, 32, 853, 10.1093/carcin/bgr050 Lindstrom, 2011, Characterizing associations and SNP-environment interactions for GWAS-identified prostate cancer risk markers—results from BPC3, PLoS One, 6, e17142, 10.1371/journal.pone.0017142 Kader, 2009, Individual and cumulative effect of prostate cancer risk-associated variants on clinicopathologic variables in 5,895 prostate cancer patients, Prostate, 69, 1195, 10.1002/pros.20970 Ahn, 2008, Variation in KLK genes, prostate-specific antigen and risk of prostate cancer, Nat Genet, 40, 1032, 10.1038/ng0908-1032 Eeles, 2008, Multiple newly identified loci associated with prostate cancer susceptibility, Nat Genet, 40, 316, 10.1038/ng.90 Gudmundsson, 2010, Genetic correction of PSA values using sequence variants associated with PSA levels, Sci Transl Med, 2, 62ra92, 10.1126/scitranslmed.3001513 Pomerantz, 2010, Analysis of the 10q11 cancer risk locus implicates MSMB and NCOA4 in human prostate tumorigenesis, PLoS Genet, 6, e1001204, 10.1371/journal.pgen.1001204 Ahn, 2011, Prostate cancer predisposition loci and risk of metastatic disease and prostate cancer recurrence, Clin Cancer Res, 17, 1075, 10.1158/1078-0432.CCR-10-0881 van Leeuwen, 2011, Critical assessment of prebiopsy parameters for predicting prostate cancer metastasis and mortality, Can J Urol, 18, 6018 Nguyen, 2009, Predicting prostate cancer mortality among men with intermediate to high-risk disease and multiple unfavorable risk factors, Int J Radiat Oncol Biol Phys, 73, 659, 10.1016/j.ijrobp.2008.05.009 Penney, 2010, Genome-wide association study of prostate cancer mortality, Cancer Epidemiol Biomarkers Prev, 19, 2869, 10.1158/1055-9965.EPI-10-0601 Andren, 2006, How well does the Gleason score predict prostate cancer death? A 20-year followup of a population based cohort in Sweden, J Urol, 175, 1337, 10.1016/S0022-5347(05)00734-2 Shui, 2012, Vitamin D–related genetic variation, plasma vitamin D, and risk of lethal prostate cancer: a prospective nested case-control study, J Natl Cancer Inst, 104, 690, 10.1093/jnci/djs189
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European Urology

Tập 65

1069-1075

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