While now recognized as an aid to predict repeat prostate biopsy outcome, the urinary PCA3 (prostate cancer gene 3) test has also been recently advocated to predict initial biopsy results. The objective is to evaluate the performance of the PCA3 test in predicting results of initial prostate biopsies and to determine whether its incorporation into specific nomograms reinforces its diagnostic value. A prospective study included 601 consecutive patients addressed for initial prostate biopsy. The PCA3 test was performed before ≥12-core initial prostate biopsy, along with standard risk factor assessment. Diagnostic performance of the PCA3 test was evaluated. The three available nomograms (Hansen’s and Chun’s nomograms, as well as the updated Prostate Cancer Prevention Trial risk calculator; PCPT) were applied to the cohort, and their predictive accuracies were assessed in terms of biopsy outcome: the presence of any prostate cancer (PCa) and high-grade prostate cancer (HGPCa). The PCA3 score provided significant predictive accuracy. While the PCPT risk calculator appeared less accurate; both Chun’s and Hansen’s nomograms provided good calibration and high net benefit on decision curve analyses. When applying nomogram-derived PCa probability thresholds ≤30%, ≤6% of HGPCa would have been missed, while avoiding up to 48% of unnecessary biopsies. The urinary PCA3 test and PCA3-incorporating nomograms can be considered as reliable tools to aid in the initial biopsy decision.

The poor specificity of diagnostic strategy for prostate cancer (digital rectal examination and seric PSA) induces both a great number of useless prostate biopsies and diagnosis of non evolutive cancers. A urinary test (Progensa PCA3(®), Gen-Probe) measuring the expression of PCA3, a prostate cancer-specific gene, has recently be proposed to indicate re-biopsy. The aim of this prospective study was to evaluate diagnostic value of urinary PCA3 test for prostate cancer. In the urines of 245 patients submitted to prostate biopsy, expression of the PCA3 gene was measured and reported to that of PSA to calculate PCA3 score using a method amplifying and detecting RNA. Patients with informative samples (98%) were classified depending of the presence (n = 126) or absence (n = 114) of cancer tissue on biopsies. The median PCA3 score was significantly higher in the group with positive biopsies (p < 0.0001). Area under ROC curve was 0.70 for PCA3 as compared to that of PSA (0.53) and free/total PSA ratio (0.65). At the best threshold of 38, PCA3 test had a 59%-sensitivity and a 72%-specificity, as compared to 66% and 32% for total PSA (threshold 4 ng/mL) and 81% and 28% for free/total PSA ratio (threshold 25%). These performances were maintained in patients with seric PSA within the grey zone (4-10 ng/mL) and those with previous prostate biopsies. This study confirms the clinical value of PCA3 urinary test in helping decision for biopsies in patients with suspected prostate cancer.