PURPOSE: To identify and examine polymorphisms of genes associated with aggressive and clinical significant forms of prostate cancer among a screening cohort. EXPERIMENTAL DESIGN: We conducted a genome-wide association study among patients with aggressive forms of prostate cancer and biopsy-proven normal controls ascertained from a prostate cancer screening program. We then examined significant associations of specific polymorphisms among a prostate cancer screened cohort to examine their predictive ability in detecting prostate cancer. RESULTS: We found significant associations between aggressive prostate cancer and five single nucleotide polymorphisms (SNPs) in the 10q26 (rs10788165, rs10749408, and rs10788165, p value for association 1.3 × 10(-10 ) to 3.2 × 10(-11) ) and 15q21 (rs4775302 and rs1994198, p values for association 3.1 × 10(-8 ) to 8.2 × 10(-9)) regions. Results of a replication study done in 3439 patients undergoing a prostate biopsy, revealed certain combinations of these SNPs to be significantly associated not only with prostate cancer but with aggressive forms of prostate cancer using an established classification criterion for prostate cancer progression (odds ratios for intermediate to high-risk disease 1.8-3.0, p value 0.003-0.001). These SNP combinations were also important clinical predictors for prostate cancer detection based on nomogram analysis that assesses prostate cancer risk. CONCLUSIONS: Five SNPs were found to be associated with aggressive forms of prostate cancer. We demonstrated potential clinical applications of these associations.
PURPOSE: To identify and examine polymorphisms of genes associated with aggressive and clinical significant forms of prostate cancer among a screening cohort. EXPERIMENTAL DESIGN: We conducted a genome-wide association study among patients with aggressive forms of prostate cancer and biopsy-proven normal controls ascertained from a prostate cancer screening program. We then examined significant associations of specific polymorphisms among a prostate cancer screened cohort to examine their predictive ability in detecting prostate cancer. RESULTS: We found significant associations between aggressive prostate cancer and five single nucleotide polymorphisms (SNPs) in the 10q26 (rs10788165, rs10749408, and rs10788165, p value for association 1.3 × 10(-10 ) to 3.2 × 10(-11) ) and 15q21 (rs4775302 and rs1994198, p values for association 3.1 × 10(-8 ) to 8.2 × 10(-9)) regions. Results of a replication study done in 3439 patients undergoing a prostate biopsy, revealed certain combinations of these SNPs to be significantly associated not only with prostate cancer but with aggressive forms of prostate cancer using an established classification criterion for prostate cancer progression (odds ratios for intermediate to high-risk disease 1.8-3.0, p value 0.003-0.001). These SNP combinations were also important clinical predictors for prostate cancer detection based on nomogram analysis that assesses prostate cancer risk. CONCLUSIONS: Five SNPs were found to be associated with aggressive forms of prostate cancer. We demonstrated potential clinical applications of these associations.
Authors: Peter Kraft; Sholom Wacholder; Marilyn C Cornelis; Frank B Hu; Richard B Hayes; Gilles Thomas; Robert Hoover; David J Hunter; Stephen Chanock Journal: Nat Rev Genet Date: 2009-04 Impact factor: 53.242
Authors: Meredith Yeager; Nick Orr; Richard B Hayes; Kevin B Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian J Staats; Eugenia E Calle; Heather Spencer Feigelson; Michael J Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie Weinstein; Fredrick R Schumacher; Edward Giovannucci; Walter C Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L Andriole; Edward P Gelmann; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert Hoover; David J Hunter; Stephen J Chanock; Gilles Thomas Journal: Nat Genet Date: 2007-04-01 Impact factor: 38.330
Authors: Fredrik E Wiklund; Hans-Olov Adami; Sigun L Zheng; Pär Stattin; William B Isaacs; Henrik Grönberg; Jianfeng Xu Journal: Cancer Epidemiol Biomarkers Prev Date: 2009-05 Impact factor: 4.254
Authors: Robert K Nam; William W Zhang; John Trachtenberg; Arun Seth; Laurence H Klotz; Aleksandra Stanimirovic; Sanoj Punnen; Vasundara Venkateswaran; Ants Toi; D Andrew Loblaw; Linda Sugar; Katherine A Siminovitch; Steven A Narod Journal: Clin Cancer Res Date: 2009-02-17 Impact factor: 12.531
Authors: A Karim Kader; Jielin Sun; Sarah D Isaacs; Kathleen E Wiley; Guifang Yan; Seong-Tae Kim; Helen Fedor; Angelo M DeMarzo; Jonathan I Epstein; Patrick C Walsh; Alan W Partin; Bruce Trock; S Lilly Zheng; Jianfeng Xu; William Isaacs Journal: Prostate Date: 2009-08-01 Impact factor: 4.104
Authors: Kathryn L Penney; Claudia A Salinas; Mark Pomerantz; Fredrick R Schumacher; Christine A Beckwith; Gwo-Shu Lee; William K Oh; Oliver Sartor; Elaine A Ostrander; Tobias Kurth; Jing Ma; Lorelei Mucci; Janet L Stanford; Philip W Kantoff; David J Hunter; Meir J Stampfer; Matthew L Freedman Journal: Clin Cancer Res Date: 2009-04-14 Impact factor: 12.531
Authors: Brian T Helfand; Kimberly A Roehl; Phillip R Cooper; Barry B McGuire; Liesel M Fitzgerald; Geraldine Cancel-Tassin; Jean-Nicolas Cornu; Scott Bauer; Erin L Van Blarigan; Xin Chen; David Duggan; Elaine A Ostrander; Mary Gwo-Shu; Zuo-Feng Zhang; Shen-Chih Chang; Somee Jeong; Elizabeth T H Fontham; Gary Smith; James L Mohler; Sonja I Berndt; Shannon K McDonnell; Rick Kittles; Benjamin A Rybicki; Matthew Freedman; Philip W Kantoff; Mark Pomerantz; Joan P Breyer; Jeffrey R Smith; Timothy R Rebbeck; Dan Mercola; William B Isaacs; Fredrick Wiklund; Olivier Cussenot; Stephen N Thibodeau; Daniel J Schaid; Lisa Cannon-Albright; Kathleen A Cooney; Stephen J Chanock; Janet L Stanford; June M Chan; John Witte; Jianfeng Xu; Jeannette T Bensen; Jack A Taylor; William J Catalona Journal: Hum Genet Date: 2015-02-26 Impact factor: 4.132
Authors: George Davey Smith; Mark Lathrop; Richard M Martin; Duleeka W Knipe; David M Evans; John P Kemp; Rosalind Eeles; Douglas F Easton; Zsofia Kote-Jarai; Ali Amin Al Olama; Sara Benlloch; Jenny L Donovan; Freddie C Hamdy; David E Neal Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-04-21 Impact factor: 4.254