Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

被引:50
作者
Al Olama, Ali Amin [1 ]
Benlloch, Sara [1 ]
Antoniou, Antonis C. [1 ]
Giles, Graham G. [2 ,3 ]
Severi, Gianluca [2 ]
Neal, David E. [4 ,5 ]
Hamdy, Freddie C. [6 ,7 ]
Donovan, Jenny L. [8 ]
Muir, Kenneth [9 ,10 ]
Schleutker, Johanna [11 ,12 ,13 ]
Henderson, Brian E. [14 ]
Haiman, Christopher A. [14 ]
Schumacher, Fredrick R. [14 ]
Pashayan, Nora [1 ,15 ]
Pharoah, Paul D. P. [1 ]
Ostrander, Elaine A. [16 ]
Stanford, Janet L. [17 ,18 ]
Batra, Jyotsna [19 ,20 ]
Clements, Judith A. [19 ,20 ]
Chambers, Suzanne K. [21 ,22 ,23 ]
Weischer, Maren [24 ]
Nordestgaard, Borge G. [24 ]
Ingles, Sue A.
Sorensen, Karina D. [25 ]
Orntoft, Torben F. [25 ]
Park, Jong Y. [26 ]
Cybulski, Cezary [27 ]
Maier, Christiane [28 ]
Doerk, Thilo [29 ]
Dickinson, Joanne L. [30 ]
Cannon-Albright, Lisa [31 ,32 ]
Brenner, Hermann [33 ,34 ]
Rebbeck, Timothy R. [35 ]
Zeigler-Johnson, Charnita [36 ]
Habuchi, Tomonori [37 ]
Thibodeau, Stephen N. [38 ]
Cooney, Kathleen A. [39 ]
Chappuis, Pierre O. [40 ,41 ]
Hutter, Pierre [42 ]
Kaneva, Radka P. [43 ]
Foulkes, William D. [44 ]
Zeegers, Maurice P. [45 ]
Lu, Yong-Jie [46 ]
Zhang, Hong-Wei [47 ]
Stephenson, Robert [48 ]
Cox, Angela [49 ]
Southey, Melissa C. [50 ]
Spurdle, Amanda B. [51 ]
FitzGerald, Liesel [52 ]
Leongamornlert, Daniel [53 ]
机构
[1] Univ Cambridge, Dept Publ Hlth & Primary Care, Strangeways Res Lab, Ctr Canc Genet Epidemiol, Cambridge, England
[2] Canc Council Victoria, Canc Epidemiol Ctr, Carlton, Vic, Australia
[3] Univ Melbourne, Ctr Mol Environm Genet & Analyt Epidemiol, Melbourne, Vic, Australia
[4] Univ Cambridge, Addenbrookes Hosp, Dept Oncol, Cambridge CB2 2QQ, England
[5] Canc Res UK Cambridge Res Inst, Li Ka Shing Ctr, Cambridge, England
[6] Univ Oxford, Nuffield Dept Surg Sci, Oxford, England
[7] Univ Oxford, John Radcliffe Hosp, Fac Med Sci, Oxford OX3 9DU, England
[8] Univ Bristol, Sch Social & Community Med, Bristol, Avon, England
[9] Univ Manchester, Ctr Epidemiol, Inst Populat Hlth, Manchester, Lancs, England
[10] Univ Warwick, Coventry CV4 7AL, W Midlands, England
[11] Univ Tampere, Inst Biomed Technol, BioMediTech, FIN-33101 Tampere, Finland
[12] FimLab Labs, Tampere, Finland
[13] Univ Turku, Dept Med Biochem & Genet, Turku, Finland
[14] Univ So Calif, Keck Sch Med, Norris Comprehens Canc Ctr, Dept Prevent Med, Los Angeles, CA 90033 USA
[15] UCL, Dept Appl Hlth Res, London, England
[16] NHGRI, NIH, Bethesda, MD 20892 USA
[17] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98104 USA
[18] Univ Washington, Sch Publ Hlth, Dept Epidemiol, Seattle, WA 98195 USA
[19] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Australian Prostate Canc Res Ctr Qld, Brisbane, Qld 4001, Australia
[20] Queensland Univ Technol, Sch Biomed Sci, Brisbane, Qld 4001, Australia
[21] Griffith Univ, Griffith Hlth Inst, Gold Coast, Qld, Australia
[22] Canc Council Queensland, Brisbane, Qld, Australia
[23] Prostate Canc Fdn Australia, Sydney, NSW, Australia
[24] Copenhagen Univ Hosp, Herlev Hosp, Dept Clin Biochem, Herlev, Denmark
[25] Aarhus Univ Hosp, Dept Mol Med MOMA, Aarhus N, Denmark
[26] Univ S Florida, H Lee Moffitt Canc Ctr, Div Canc Prevent & Control, Tampa, FL 33682 USA
[27] Pomeranian Med Univ, Dept Genet & Pathol, Int Hereditary Canc Ctr, Szczecin, Poland
[28] Univ Hosp Ulm, Dept Urol, Ulm, Germany
[29] Hannover Biomed Res Sch, Hannover, Germany
[30] Univ Tasmania, Menzies Res Inst Tasmania, Hobart, Tas, Australia
[31] Univ Utah, Sch Med, Dept Med, Div Genet Epidemiol, Salt Lake City, UT USA
[32] George E Wahlen Dept Vet Affairs Med Ctr, Salt Lake City, UT USA
[33] German Canc Res Ctr, Div Clin Epidemiol & Ageing Res, Heidelberg, Germany
[34] German Canc Consortium DKTK, Heidelberg, Germany
[35] Univ Penn, Philadelphia, PA 19104 USA
[36] Thomas Jefferson Univ, Dept Med Oncol, Div Populat Sci, Philadelphia, PA 19107 USA
[37] Akita Univ, Sch Med, Dept Urol, Akita 010, Japan
[38] Mayo Clin, Rochester, MN USA
[39] Univ Michigan, Sch Med, Div Hematol Oncol, Ann Arbor, MI USA
[40] Univ Hosp Geneva, Div Oncol Med, Geneva, Switzerland
[41] Univ Hosp Geneva, Dept Med Genet, Geneva, Switzerland
[42] Univ Geneva, Hop Cantonal, CH-1211 Geneva, Switzerland
[43] Med Univ Sofia, Mol Med Ctr, Dept Med Chem & Biochem, Sofia, Bulgaria
[44] McGill Univ, Montreal, PQ, Canada
[45] Maastricht Univ, Med Ctr, NUTRIM Sch Nutr Toxicol & Metab, Dept Complex Genet,Cluster Genet & Cell Biol, NL-6200 MD Maastricht, Netherlands
[46] Queen Mary Univ London, John Vane Sci Ctr, Barts Canc Inst, London, England
[47] Second Mil Med Univ, Shanghai, Peoples R China
[48] Univ Utah, Sch Med, Dept Surg, Div Urol, Salt Lake City, UT USA
[49] Univ Sheffield, CR UK YCR Sheffield Canc Res Ctr, Sheffield, S Yorkshire, England
[50] Univ Melbourne, Dept Pathol, Genet Epidemiol Lab, Parkville, Vic 3052, Australia
关键词
GENOME-WIDE ASSOCIATION; BREAST-CANCER; MULTIPLE LOCI; PREDICTION; VARIANTS; IDENTIFICATION; BRCA2;
D O I
10.1158/1055-9965.EPI-14-0317
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of prostate cancer. Methods: We genotyped 25 prostate cancer susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical odds ratios (OR) for prostate cancer associated with different risk strata defined by PRS and derived age-specific absolute risks of developing prostate cancer by PRS stratum and family history. Results: The prostate cancer risk for men in the top 1% of the PRS distribution was 30.6 (95% CI, 16.4-57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI, 3.2-5.5) fold compared with the median risk. The absolute risk of prostate cancer by age of 85 years was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation = 0.09). Conclusions: Risk profiling can identify men at substantially increased or reduced risk of prostate cancer. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of prostate cancer. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles. Impact: We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs. (C) 2015 AACR.
引用
收藏
页码:1121 / 1129
页数:9
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