Risk score predicts high-grade prostate cancer in DNA-methylation positive, histopathologically negative biopsies

被引:67
|
作者
Van Neste, Leander [1 ]
Partin, Alan W. [2 ,3 ]
Stewart, Grant D. [4 ]
Epstein, Jonathan I. [2 ,3 ]
Harrison, David J. [5 ]
Van Criekinge, Wim [6 ]
机构
[1] Maastricht Univ, GROW Sch Oncol & Dev Biol, Dept Pathol, Med Ctr, Maastricht, Netherlands
[2] Johns Hopkins Sch Med, Brady Urol Inst, Baltimore, MD USA
[3] Johns Hopkins Sch Med, Dept Pathol, Baltimore, MD USA
[4] Univ Cambridge, Acad Urol Grp, Cambridge, England
[5] Univ St Andrews, Sch Med, St Andrews, Fife, Scotland
[6] Univ Ghent, Dept Math Modeling Stat & Bioinformat, Ghent, Belgium
来源
PROSTATE | 2016年 / 76卷 / 12期
关键词
DNA methylation; epigenetics; prostate neoplasms; significant cancer; high-grade; repeat biopsy; logistic regression; LEVEL LESS-THAN-OR-EQUAL-TO-4.0 NG; CLINICAL UTILITY; ANTIGEN; MEN; COMPLICATIONS; SURVEILLANCE; PREVALENCE; ASSAY;
D O I
10.1002/pros.23191
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUNDProstate cancer (PCa) diagnosis is challenging because efforts for effective, timely treatment of men with significant cancer typically result in over-diagnosis and repeat biopsies. The presence or absence of epigenetic aberrations, more specifically DNA-methylation of GSTP1, RASSF1, and APC in histopathologically negative prostate core biopsies has resulted in an increased negative predictive value (NPV) of approximate to 90% and thus could lead to a reduction of unnecessary repeat biopsies. Here, it is investigated whether, in methylation-positive men, DNA-methylation intensities could help to identify those men harboring high-grade (Gleason score7) PCa, resulting in an improved positive predictive value. METHODSTwo cohorts, consisting of men with histopathologically negative index biopsies, followed by a positive or negative repeat biopsy, were combined. EpiScore, a methylation intensity algorithm was developed in methylation-positive men, using area under the curve of the receiver operating characteristic as metric for performance. Next, a risk score was developed combining EpiScore with traditional clinical risk factors to further improve the identification of high-grade (Gleason Score 7) cancer. RESULTSCompared to other risk factors, detection of DNA-methylation in histopathologically negative biopsies was the most significant and important predictor of high-grade cancer, resulting in a NPV of 96%. In methylation-positive men, EpiScore was significantly higher for those with high-grade cancer detected upon repeat biopsy, compared to those with either no or low-grade cancer. The risk score resulted in further improvement of patient risk stratification and was a significantly better predictor compared to currently used metrics as PSA and the prostate cancer prevention trial (PCPT) risk calculator (RC). A decision curve analysis indicated strong clinical utility for the risk score as decision-making tool for repeat biopsy. CONCLUSIONSLow DNA-methylation levels in PCa-negative biopsies led to a NPV of 96% for high-grade cancer. The risk score, comprising DNA-methylation intensity and traditional clinical risk factors, improved the identification of men with high-grade cancer, with a maximum avoidance of unnecessary repeat biopsies. This risk score resulted in better patient risk stratification and significantly outperformed current risk prediction models such as PCPTRC and PSA. The risk score could help to identify patients with histopathologically negative biopsies harboring high-grade PCa. Prostate 76:1078-1087, 2016. (c) 2016 The Authors. The Prostate Published by Wiley Periodicals, Inc.
引用
收藏
页码:1078 / 1087
页数:10
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