Percentage of cancer on biopsy cores accurately predicts extracapsular extension and biochemical relapse after radical prostatectomy for T1-T2 prostate cancer
V. Ravery et al., Percentage of cancer on biopsy cores accurately predicts extracapsular extension and biochemical relapse after radical prostatectomy for T1-T2 prostate cancer, EUR UROL, 37(4), 2000, pp. 449-455
Purpose: To perform a multivariate analysis to investigate the usefulness o
f eight preoperative variables as predictors of final pathological stage (p
T), positive surgical margins (PSM) and biological progression after radica
l prostatectomy (RP).
Materials and Methods: In 143 patients undergoing RP for T1-T2 prostate can
cer, the respective values of age, clinical stage, preoperative prostate-sp
ecific antigen (PSA), prostate-specific antigen density (PSAD), number of p
ositive biopsies (NPB), Gleason score, length of tissue core invaded by can
cer (LTI) and topography (uni/bilaterality) of positive biopsies for predic
ting extracapsular extension, PSM and biochemical failure (PSA greater than
or equal to 0.05 ng/ml) were evaluated retrospectively. Univariate and mul
tivariate analyses were applied to define the statistical significance of e
ach variable. Actuarial survival without biological progression was calcula
ted using the Kaplan-Meier method (log-rank test).
Results: In this series, 44.8% of patients had extracapsular extension with
41.3% PSM. The mean PSA was 12.4 ng/ml. In univariate analysis, LTI (p<0.0
001), NPB (p = 0.0023), PSA (p = 0.0039) and Gleason score (p = 0.0136) wer
e the most powerful variables to predict pT stage; however, in logistic reg
ression analysis, LTI was the most predictive feature. For prediction of PS
M, some variables (LTI, NPB and PSA) were found to be of statistical value
in univariate analysis, and LTI in combination with NPB and PSA in multivar
iate analysis. For biological progression, statistical analysis (log rank t
est) showed PSAD and LTI to be significant predictors.
Conclusion: The pathological report regarding the biopsy contains crucial i
nformation influencing the prediction of pT stage, PSM and biological progr
ession after RP. LTI, NPB and PSA are the most useful parameters for this p
urpose. Copyright (C) 2000 S. Karger AG, Basel.