Related Experiment Video
Updated: Jun 19, 2026
Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization
Published on: November 17, 2023
Tumor volume, tumor percentage involvement, or prostate volume: which is predictive of prostate-specific antigen
Matthew A Uhlman1, Leon Sun, Danielle A Stackhouse
1Division of Urologic Surgery, Department of Surgery, Duke University Medical Center, Durham, North Carolina 27710, USA.
Objectives:
To compare the effects of tumor volume (TV), tumor percentage involvement (TPI), and prostate volume (PV) on prostate-specific antigen (PSA) recurrence (PSAR) after radical prostatectomy (RP).
Methods:
A cohort of 3528 patients receiving RP between 1988 and 2008 was retrieved from the Duke Prostate Center. Patients were stratified by TV (< 3, 3-6, > 6 cm(3)), TPI (< 10%, 10%-20%, > 20%), and PV (< 35, 35-45, > 45 cm(3)) and their effects on PSAR evaluated using Kaplan-Meier analysis. Clinicopathologic variables included in univariate analysis were age at surgery, race, year of surgery, PSA, pathologic Gleason score, pathologic tumor stage, margin status, extracapsular extension, and seminal vesicle invasion. The effects of TV, TPI, and PV (as continuous and categorical variables) on PSAR were compared using Cox analysis.
Results:
TPI, TV, and PV were predictive of PSAR (P <.05) in Kaplan-Meier analysis. In multivariate analysis as continuous variables, TPI and PV were predictive of PSAR (hazard ratio [HR] = 1.16 and HR = 0.65, P <.05). As categorical variables, TPI > 20% and PV 10-35 cm(3) were predictive of PSAR (HR = 1.45 and OR = 1.25, P <.05). TV was not predictive of PSAR in either analysis. Pathologic Gleason score > or = 7, PSA, positive margins, seminal vesicle invasion, and tumor stage T3/T4 were found to be predictors of PSAR (P <.05).
Conclusions:
TV, TPI, and PV were predictive of PSAR in univariate analysis, but in multivariate analysis, only TPI and PV were predictive of PSAR. TPI and PV should be considered when evaluating, assessing, and counseling patients regarding PSAR risk.
