Percentage of cancer involvement in positive cores can predict unfavorable disease in men with low-risk prostate cancer but eligible for the prostate cancer international: active surveillance criteria

Urol Oncol. 2014 Apr;32(3):291-6. doi: 10.1016/j.urolonc.2013.07.004. Epub 2013 Nov 1.

Abstract

Objectives: To identify predictive factors of unfavorable disease and of biochemical failure in patients treated with radical prostatectomy but eligible for active surveillance (AS) according to Prostate Cancer Research International: Active Surveillance (PRIAS) criteria. We aimed to introduce and validate the percentage of cancer involvement in positive cores (CIPC) as potential worse predictive factor.

Methods: From January 2002 to December 2007, 750 consecutive subjects underwent radical prostatectomy at a single institution. We identified 147 (19.05%) patients who were eligible for AS based on PRIAS criteria: clinical stage T1c or T2 disease, prostate-specific antigen level of ≤ 10 ng/ml, Gleason score ≤ 6, prostate-specific antigen-D of<0.2 ng/ml(2), and fewer than 3 positive biopsy cores. CIPC was included in the analysis.

Results: Of the 147 patients, 95 (66.43%) patients had favorable disease, whereas 48 (33.57%) had unfavorable disease. In multivariate logistic regression, maximum cancer length (odds ratio 12.52, P<0.01) and CIPC (odds ratio 1.70, P<0.01) represented independent predictors of unfavorable prostate cancer. The area under the receiver operating characteristics curve analysis revealed significantly higher performance after including CIPC to the PRIAS criteria (0.61 vs. 0.94, P<0.01). A cutoff of 0.4mm of CIPC was set to predict unfavorable disease with 93% specificity, 76% sensibility, and 87% accuracy based on the receiver operating characteristics curve analysis. Finally, the 3- and 5-years biochemical recurrence (BCR)-free survival were significantly lower in subjects with CIPC ≥ 0.4mm, 88.4 % and 81.0% vs. 97.8% and 95.7%, respectively (P< 0.01).

Conclusions: Our findings suggest that the inclusion of CIPC to the prostate biopsy features could be helpful to avoid misclassification in patients eligible for AS according to the PRIAS criteria.

Keywords: Active surveillance; Cancer involvement; PRIAS; Radical prostatectomy.

MeSH terms

  • Adenocarcinoma / mortality
  • Adenocarcinoma / pathology*
  • Aged
  • Area Under Curve
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Proportional Hazards Models
  • Prostatectomy
  • Prostatic Neoplasms / mortality
  • Prostatic Neoplasms / pathology*
  • ROC Curve
  • Risk Factors
  • Watchful Waiting*