Use of the Prostate Health Index for the Detection of Aggressive Prostate Cancer at Radical Prostatectomy

摘要

INTRODUCTION: In current study, we compared the accuracy of the PSA isoform p2PSA and its derivatives, the percentage of p2PSA to free PSA (%p2PSA) and the Prostate Health Index (PHI) in the detection of prostate cancer (PC) characteristics at the xFB01;nal pathology with respect to reference standards. MATERIALS AND METHODS: This was an observational prospective study evaluating 43 consecutive PC patients treated with laparoscopic/robotic radical prostatectomy (RP). Logistic regression models were fitted to test the predictors of pT3 stage, pathologic Gleason score ≥ 8 or Gleason score upgrading, margin status, lymph node invasion, and the presence of high-risk disease (pT3 disease and/or Gleason score ≥ 8 and/or positive lymph node). The comparative base model included tPSA, clinical stage, biopsy Gleason score, and percentage of positive core. RESULTS: Seventeen patients (39.5%) were affected by pT3 disease or had a pathologic Gleason score ≥ 8; positive margins were detected in 12 patients (27.9%), lymph node invasion was found in 2 patients (4.7%), and 15 patients (34.8%) harbored high-risk disease. In the univariate analysis, p2PSA, %p2PSA, and PHI were significant predictors of pT3 disease, pathologic Gleason score, and the presence of high-risk disease (all p < 0.05), whereas only PHI was an independent predictor of pT3 disease, margin status, and presence of high-risk disease, increasing the accuracy of a base multivariable model by 6.3% (p < 0.05) and 4.2% (p < 0.05) for the prediction of pT3 and high-risk disease, respectively. CONCLUSIONS: p2PSA and its derivatives, primarily PHI, were significant predictors of unfavorable PC characteristics as detected at the xFB01;nal pathology, thus improving the clinical performance of standard prognostic factors for aggressive disease.