Prediction by quantitative histology of pathological stage in prostate cancer

Eur J Surg Oncol. 2005 Apr;31(3):309-13. doi: 10.1016/j.ejso.2004.12.002.

Abstract

Aims: To find a predictor of extraprostatic extension in clinically localized prostate cancer (PCa), pre-operative ultrasound-guided prostate needle biopsies and clinico-pathological data were reviewed.

Methods: One hundred and eighty-three consecutive patients who underwent radical retropubic prostatectomy for clinical T1-T2 PCa and serum PSA <10 ng/ml were reviewed. Pre-operative biopsy was performed according to an extended protocol and whole-mount prostatectomy specimens were processed. The following biopsy variables were categorized to this analysis: Gleason score (< or =6, >6), TPC (< or =20%; >20%), GPC (< or =50%; >50%), cancer-positive cores (< or =2; >2), cancer-positive cores in both lateral portions (yes; no), PCa (monolateral; bilateral).

Results: Only 60/183 specimens showed an organ-confined PCa; the remaining ones showed pT3a in 57 cases, pT3b in 11 and pT3 with positive surgical margins in 55. A locally advanced PCa was found in 60.2 and 76.8% of T1c and T2 clinical stage, respectively. The positive predictive value and negative predictive value of biopsy findings to predict a locally advanced PCa was 89.9 and 75%, respectively. All biopsy variables associations were statistically significant; however, among these variables (non-categorized), in multivariate logistic regression analysis, only GPC was significantly associated with pathologic stage (odds ratio estimate was 1.075, 95% CI: 1.053-1.098).

Conclusions: Quantitative histology, especially GPC, seems to be helpful for pre-operative staging of PCa in patients with T1c-T2 clinical stage and PSA < 10 ng/ml.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biopsy
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Staging
  • Odds Ratio
  • Predictive Value of Tests
  • Prostate-Specific Antigen / blood*
  • Prostatic Neoplasms / immunology
  • Prostatic Neoplasms / pathology*
  • ROC Curve
  • Sensitivity and Specificity

Substances

  • Prostate-Specific Antigen