Validation of a Genomic Classifier for Predicting Post-Prostatectomy Recurrence in a Community Based Health Care Setting.
Recommended Citation
Glass AG, Leo MC, Haddad Z, Yousefi K, du Plessis M, Chen C, Choeurng V, Abdollah F, Robbins B, Ra S, Richert-Boe KE, Buerki C, Pearson K, Davicioni E, and Weinmann S. Validation of a genomic classifier for predicting post-prostatectomy recurrence in a community-based healthcare setting. J Urol 2016; 195(6):1748-1753.
Document Type
Article
Publication Date
6-1-2016
Publication Title
The Journal of urology
Abstract
PURPOSE: We determined the value of Decipher®, a genomic classifier, to predict prostate cancer outcomes among patients after prostatectomy in a community health care setting.
MATERIALS AND METHODS: We examined the experience of 224 men treated with radical prostatectomy from 1997 to 2009 at Kaiser Permanente Northwest, a large prepaid health plan in Portland, Oregon. Study subjects had aggressive prostate cancer with at least 1 of several criteria such as preoperative prostate specific antigen 20 ng/ml or greater, pathological Gleason score 8 or greater, stage pT3 disease or positive surgical margins at prostatectomy. The primary end point was clinical recurrence or metastasis after surgery evaluated using a time dependent c-index. Secondary end points were biochemical recurrence and salvage treatment failure. We compared the performance of Decipher alone to the widely used CAPRA-S (Cancer of the Prostate Risk Assessment Post-Surgical) score, and assessed the independent contributions of Decipher, CAPRA-S and their combination for the prediction of recurrence and treatment failure.
RESULTS: Of the 224 patients treated 12 experienced clinical recurrence, 68 had biochemical recurrence and 34 experienced salvage treatment failure. At 10 years after prostatectomy the recurrence rate was 2.6% among patients with low Decipher scores but 13.6% among those with high Decipher scores (p=0.02). When CAPRA-S and Decipher scores were considered together, the discrimination accuracy of the ROC curve was increased by 0.11 compared to the CAPRA-S score alone (combined c-index 0.84 at 10 years after radical prostatectomy) for clinical recurrence.
CONCLUSIONS: Decipher improves our ability to predict clinical recurrence in prostate cancer and adds precision to conventional pathological prognostic measures.
Medical Subject Headings
Aged; Biomarkers, Tumor; Community Health Centers; Genomics; Humans; Kaplan-Meier Estimate; Male; Middle Aged; Neoplasm Recurrence, Local; Oregon; Prostate; Prostatectomy; Prostatic Neoplasms; ROC Curve; Registries; Retrospective Studies; Risk Assessment; Salvage Therapy; Treatment Failure
PubMed ID
26626216
Volume
195
Issue
6
First Page
1748
Last Page
1753
