Prognostic accuracy of Prostate Health Index and urinary Prostate Cancer Antigen 3 in predicting pathologic features after radical prostatectomy

Francesco Cantiello, Giorgio Ivan Russo, Matteo Ferro, Antonio Cicione, Sebastiano Cimino, Vincenzo Favilla, Sisto Perdonà, Danilo Bottero, Daniela Terracciano, Ottavio De Cobelli, Giuseppe Morgia, Rocco Damiano

Research output: Contribution to journalArticlepeer-review


Objective: To compare the prognostic accuracy of Prostate Health Index (PHI) and Prostate Cancer Antigen 3 in predicting pathologic features in a cohort of patients who underwent radical prostatectomy (RP) for prostate cancer (PCa). Methods and materials: We evaluated 156 patients with biopsy-proven, clinically localized PCa who underwent RP between January 2013 and December 2013 at 2 tertiary care institutions. Blood and urinary specimens were collected before initial prostate biopsy for [-2] pro-prostate-specific antigen (PSA), its derivates, and PCA3 measurements. Univariate and multivariate logistic regression analyses were carried out to determine the variables that were potentially predictive of tumor volume >0.5. ml, pathologic Gleason sum≥7, pathologically confirmed significant PCa, extracapsular extension, and seminal vesicles invasions. Results: On multivariate analyses and after bootstrapping with 1,000 resampled data, the inclusion of PHI significantly increased the accuracy of a baseline multivariate model, which included patient age, total PSA, free PSA, rate of positive cores, clinical stage, prostate volume, body mass index, and biopsy Gleason score (GS), in predicting the study outcomes. Particularly, to predict tumor volume>0.5, the addition of PHI to the baseline model significantly increased predictive accuracy by 7.9% (area under the receiver operating characteristics curve [AUC] = 89.3 vs. 97.2, P>0.05), whereas PCA3 did not lead to a significant increase.Although both PHI and PCA3 significantly improved predictive accuracy to predict extracapsular extension compared with the baseline model, achieving independent predictor status (all P's

Original languageEnglish
Pages (from-to)163.e15-163.e23
JournalUrologic Oncology: Seminars and Original Investigations
Issue number4
Publication statusPublished - 2015


  • Active surveillance
  • PCA3
  • PHI
  • Prognostic accuracy
  • Prostate cancer
  • Radical prostatectomy

ASJC Scopus subject areas

  • Oncology
  • Urology


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