This work aims to definitely show the ability of Percentage of Positive Biopsy Cores (%PC) to independently predict biochemical outcome beyond traditional pre-treatment risk-factors in prostate cancer patients treated with radiotherapy.
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A cohort of 2493 men belonging to the EUREKA-2 retrospective multi-centric database on prostate cancer and treated with External-Beam Radiation Therapy (EBRT) as primary treatment comprised the study population (median follow-up 50 months) A Cox regression time to PSA failure analysis was performed to evaluate the predictive power of %PC, both in univariate and multivariate settings, with age, pre-treatment PSA, clinical-radiological Staging, bioptic Gleason Score (bGS), RT dose and RT +/- ADT as covariates
P statistics for %PC is lower than 0 001 both in univariate and multivariate models %PC as a continuous variable yields an AUC of 69% in ROC curve analysis for biochemical relapse Four classes of %PC (1-20%, 21-50%, 51-80% and 81-100%) distinctly split patients for risk of biochemical relapse (overall log-rank test P
We strongly affirm the usefulness of %PC information beyond main risk factors (PSA, Staging and bGS) in predicting biochemical recurrence after EBRT for prostate cancer The stratification of patients according to %PC may be valuable to further discriminate cases with favourable or adverse prognosis
Panminerva medica 2015 Jul 24 [Epub ahead of print]
D Gabriele, M Garibaldi, G F Girelli, S Taraglio, E Duregon, P Gabriele, C Guiot, E Bollito
Neuroscience Department, Human Physiology Section, University of Torino, Italy - gabrielepda@alice it