TY - JOUR
T1 - Individual patient-level meta-Analysis of the performance of the decipher genomic classifier in high-risk men after prostatectomy to predict development of metastatic disease
AU - Spratt, Daniel E.
AU - Yousefi, Kasra
AU - Deheshi, Samineh
AU - Ross, Ashley E.
AU - Den, Robert B.
AU - Schaeffer, Edward M.
AU - Trock, Bruce J.
AU - Zhang, Jingbin
AU - Glass, Andrew G.
AU - Dicker, Adam P.
AU - Abdollah, Firas
AU - Zhao, Shuang G.
AU - Lam, Lucia L.C.
AU - Du Plessis, Marguerite
AU - Choeurng, Voleak
AU - Haddad, Zaid
AU - Buerki, Christine
AU - Davicioni, Elai
AU - Weinmann, Sheila
AU - Freedland, Stephen J.
AU - Klein, Eric A.
AU - Karnes, R. Jeffrey
AU - Feng, Felix Y.
N1 - Publisher Copyright:
©2017 by American Society of Clinical Oncology.
PY - 2017/6/20
Y1 - 2017/6/20
N2 - Purpose To perform the first meta-Analysis of the performance of the genomic classifier test, Decipher, in men with prostate cancer postprostatectomy. Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports between 2011 and 2016 of men treated by prostatectomy that assessed the benefit of the Decipher test. Multivariable Cox proportional hazards models fit to individual patient data were performed; meta-Analyses were conducted by pooling the study-specific hazard ratios (HRs) using random-effects modeling. Extent of heterogeneity between studies was determined with the I2 test. Results Five studies (975 total patients, and 855 patients with individual patient-level data) were eligible for analysis, with a median follow-up of 8 years. Of the total cohort, 60.9%, 22.6%, and 16.5% of patients were classified by Decipher as low, intermediate, and high risk, respectively. The 10-year cumulative incidence metastases rates were 5.5%, 15.0%, and 26.7% (P , .001), respectively, for the three risk classifications. Pooling the study-specific Decipher HRs across the five studies resulted in an HR of 1.52 (95% CI, 1.39 to 1.67; I2 = 0%) per 0.1 unit. In multivariable analysis of individual patient data, adjusting for clinicopathologic variables, Decipher remained a statistically significant predictor of metastasis (HR, 1.30; 95% CI, 1.14 to 1.47; P,.001) per 0.1 unit. The C-index for 10-year distant metastasis of the clinical model alone was 0.76; this increased to 0.81 with inclusion of Decipher. Conclusion The genomic classifier test, Decipher, can independently improve prognostication of patients postprostatectomy, as well as within nearly all clinicopathologic, demographic, and treatment subgroups. Future study of how to best incorporate genomic testing in clinical decision-making and subsequent treatment recommendations is warranted.
AB - Purpose To perform the first meta-Analysis of the performance of the genomic classifier test, Decipher, in men with prostate cancer postprostatectomy. Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports between 2011 and 2016 of men treated by prostatectomy that assessed the benefit of the Decipher test. Multivariable Cox proportional hazards models fit to individual patient data were performed; meta-Analyses were conducted by pooling the study-specific hazard ratios (HRs) using random-effects modeling. Extent of heterogeneity between studies was determined with the I2 test. Results Five studies (975 total patients, and 855 patients with individual patient-level data) were eligible for analysis, with a median follow-up of 8 years. Of the total cohort, 60.9%, 22.6%, and 16.5% of patients were classified by Decipher as low, intermediate, and high risk, respectively. The 10-year cumulative incidence metastases rates were 5.5%, 15.0%, and 26.7% (P , .001), respectively, for the three risk classifications. Pooling the study-specific Decipher HRs across the five studies resulted in an HR of 1.52 (95% CI, 1.39 to 1.67; I2 = 0%) per 0.1 unit. In multivariable analysis of individual patient data, adjusting for clinicopathologic variables, Decipher remained a statistically significant predictor of metastasis (HR, 1.30; 95% CI, 1.14 to 1.47; P,.001) per 0.1 unit. The C-index for 10-year distant metastasis of the clinical model alone was 0.76; this increased to 0.81 with inclusion of Decipher. Conclusion The genomic classifier test, Decipher, can independently improve prognostication of patients postprostatectomy, as well as within nearly all clinicopathologic, demographic, and treatment subgroups. Future study of how to best incorporate genomic testing in clinical decision-making and subsequent treatment recommendations is warranted.
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U2 - 10.1200/JCO.2016.70.2811
DO - 10.1200/JCO.2016.70.2811
M3 - Article
C2 - 28358655
AN - SCOPUS:85021698974
SN - 0732-183X
VL - 35
SP - 1991
EP - 1998
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 18
ER -