Analysis of clinical stage T2 prostate cancer: do current subclassifications represent an improvement?

J Clin Oncol. 2002 Apr 15;20(8):2025-30. doi: 10.1200/JCO.2002.08.123.

Abstract

Purpose: The purpose of this study was to determine whether the extent of palpable cancer within the prostate predicts outcome after radical prostatectomy.

Patients and methods: We combined prospectively collected data on 1,755 consecutive clinical stage T2 patients treated with radical prostatectomy alone at four institutions. According to the 1992 American Joint Committee on Cancer tumor-node-metastasis system, 645 (37%) were T2a, 758 (43%) were T2b, and 352 (20%) were T2c. Kaplan-Meier and proportional hazards regression analyses were performed on the 1992 and 1997 T2 subclassifications. After controlling for the effects of prostate-specific antigen (PSA) and biopsy Gleason sum, the two staging systems were compared for their ability to predict recurrence-free survival (RFS). Adjusted RFS curves were constructed using the corrected group prognosis method.

Results: Follow-up ranged from 1 to 166 months (median, 26 months). Cancer recurred in 417 (24%) of the T2 patients. The 1992 (P =.005) but not the 1997 (P =.100) T2 subclassification predicted outcome after controlling for PSA and Gleason sum. After covariate adjustment, RFS was 7% higher at 5 years in the 1992 T2a subcategory relative to the T2b subcategory.

Conclusion: The 1992 American Joint Committee on Cancer system is superior to the 1997 system, and the former adds prognostic information to a model containing pretreatment PSA and Gleason sum. These results suggest that 1992 T2 subclassification derived from palpable findings improves prognostication over the 1997 subclassification.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Male
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Prostatectomy
  • Prostatic Neoplasms / classification*
  • Prostatic Neoplasms / mortality
  • Prostatic Neoplasms / pathology*
  • Prostatic Neoplasms / surgery
  • Survival Analysis