Evaluation of biochemical recurrence-free survival after radical prostatectomy by cancer of the prostate risk assessment post-surgical (CAPRA-S) Score - Abstract

BACKGROUND: The cancer of the prostate risk assessment (CAPRA) score has been defined to predict prostate cancer recurrence based on the pre-clinical data, then pathological data have also been incorporated.

Thus, CAPRA post-surgical (CAPRA-S) score has been developed based on six criteria (prostate specific antigen (PSA) at diagnosis, pathological Gleason score, and information on surgical margin, seminal vesicle invasion, extracapsular extension and lymph node involvement) for the prediction of post-surgical recurrences. In the present study, biochemical recurrence (BCR)-free probabilities after open retropubic radical prostatectomy (RP) were evaluated by the CAPRA-S scoring system and its three-risk level model.

MATERIALS AND METHODS: CAPRA-S scores (0-12) of our 240 radical prostatectomies performed between January 2000-May 2011 were calculated. Patients were distributed into CAPRA-S score groups and also into three-risk groups as low, intermediate and high. BCR-free probabilities were assessed and compared using Kaplan-Meier analysis and Cox proportional hazards regression. Ability of CAPRA-S in BCR detection was evaluated by concordance index (c-index).

RESULTS: BCR was present in 41 of total 240 patients (17.1%) and the mean follow-up time was 51.7 ± 33.0 months. Mean BCR-free survival time was 98.3 months (95% CI: 92.3-104.2). Of the patients in low, intermediate and high risk groups, 5.4%, 22.0% and 58.8% had BCR, respectively and the difference among the three groups was significant (P = 0.0001). C-indices of CAPRA-S score and three-risk groups for detecting BCR-free probabilities in 5-yr were 0.87 and 0.81, respectively.

CONCLUSIONS: Both CAPRA-S score and its three-risk level model well predicted BCR after RP with high c-index levels in our center. Therefore, it is a clinically reliable post-operative risk stratifier and disease recurrence predictor for prostate cancer.

Written by:
Aktas BK, Ozden C, Bulut S, Tagci S, Erbay G, Gokkaya CS, Baykam MM, Memis A.   Are you the author?
Urology Clinic, Ankara Numune Education and Research Hospital, Ankara, Turkey.  

Reference: Asian Pac J Cancer Prev. 2015;16(6):2527-30.


PubMed Abstract
PMID: 25824791

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