Adding genetic risk score to family history identifies twice as many high-risk men for prostate cancer: Results from the prostate cancer prevention trial

被引:49
|
作者
Chen, Haitao [1 ,2 ]
Liu, Xu [1 ]
Brendler, Charles B. [3 ]
Ankerst, Donna P. [4 ,5 ,6 ]
Leach, Robin J. [4 ]
Goodman, Phyllis J. [7 ]
Lucia, M. Scott [8 ]
Tangen, Catherine M. [7 ]
Wang, Li [2 ]
Hsu, Fang-Chi [2 ]
Sun, Jielin [2 ]
Kader, A. Karim [9 ]
Isaacs, William B. [10 ,11 ,12 ]
Helfand, Brian T. [3 ]
Zheng, S. Lilly [2 ]
Thompson, Ian M. [4 ]
Platz, Elizabeth A. [10 ,11 ,12 ,13 ]
Xu, Jianfeng [1 ,2 ,3 ,14 ]
机构
[1] Fudan Univ, Sch Life Sci, State Key Lab Genet Engn, Shanghai, Peoples R China
[2] Wake Forest Sch Med, Ctr Canc Genom, Winston Salem, NC USA
[3] NorthShore Univ HealthSyst, Dept Surg, 1001 Univ Pl, Evanston, IL 60201 USA
[4] Univ Texas Hlth Sci Ctr San Antonio, Dept Urol, San Antonio, TX 78229 USA
[5] Tech Univ Munich, Dept Math, Garching, Germany
[6] Tech Univ Munich, Dept Life Sci, Garching, Germany
[7] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, 1124 Columbia St, Seattle, WA 98104 USA
[8] Univ Colorado, Denver Sch Med, Aurora, CO USA
[9] UC San Diego Hlth Syst, Dept Urol, San Diego, CA USA
[10] Johns Hopkins Univ, Sch Med, Dept Urol, Baltimore, MD 21205 USA
[11] Johns Hopkins Univ, Sch Med, James Buchanan Brady Urol Inst, Baltimore, MD USA
[12] Sidney Kimmel Comprehens Canc Ctr Johns Hopkins, Baltimore, MD USA
[13] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, 615 N Wolfe St, Baltimore, MD 21205 USA
[14] NorthShore Univ HealthSyst, Res Inst, 1001 Univ Pl, Evanston, IL 60201 USA
来源
PROSTATE | 2016年 / 76卷 / 12期
基金
中国国家自然科学基金;
关键词
prostate cancer; single nucleotide polymorphisms; the prostate cancer prevention trial; risk; family history; GENOME-WIDE ASSOCIATION; SERVICES TASK-FORCE; CLINICAL UTILITY; FOLLOW-UP; VARIANTS; PREDICTION; MORTALITY; MARKERS; METAANALYSIS; CONSORTIUM;
D O I
10.1002/pros.23200
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUNDWhile family history (FH) has been widely used to provide risk information, it captures only a small proportion of subjects with higher genetic susceptibility. Our objective is to assess whether a genetic risk score (GRS) calculated from prostate cancer (PCa) risk-associated single nucleotide polymorphisms (SNPs) can supplement FH for more effective risk stratification for PCa screening decision-making. METHODSA GRS was calculated based on 29 PCa risk-associated SNPs for 4,528 men of European descent in the placebo arm of the Prostate Cancer Prevention Trial (PCPT). At study entry, participants were free of PCa diagnosis. Performance of FH and GRS were measured by observed detection rate of PCa and high-grade PCa (Gleason score 7) during the 7-year study. RESULTSGRS was a significant predictor of PCa in men with or without a positive FH (P=1.18x10(-4) and P=4.50x10(-16), respectively). Using FH alone, as expected, the 17% of men who were FH+ had a PCa detection rate that was significantly higher (29.02%) than FH- men (23.43%, P=0.001). When both FH+ or GRS >1.4 are considered, more than twice as many men (36%) can be classified as higher risk, as evidenced by a significantly higher PCa detection rate (30.98%) than in the remaining men (20.61%, P=5.30x10(-15)). If targeting only FH+ men, four out of five PCa cases would go undetected, as would a similarly large fraction (approximate to 80%) of high-grade PCa cases. In comparison, if targeting FH+ or GRS >1.4 men, almost half of all PCa cases would be detected, including 45% of high-grade PCa cases. CONCLUSIONSA prostate cancer GRS can supplement family history to better identify higher risk men for targeted intervention. Prostate 76:1120-1129, 2016. (c) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:1120 / 1129
页数:10
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