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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, METHODS, RESULTS. Meshes: Adult, Aged, Biopsy, Needle, Follow-Up Studies, Humans, Male, Middle Aged, Multivariate Analysis, Neoplasm Metastasis, Neoplasm Recurrence, Local, Predictive Value of Tests, Preoperative Care, Prognosis, Prostate-Specific Antigen, Prostatectomy, Prostatic Neoplasms.
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Is percent of cores positive for cancer a better preoperative predictor of cancer recurrence after radical prostatectomy than prostate specific antigen? Context: We examined the prognostic significance of clinical and pathological variables on outcome following radical retropubic prostatectomy (RRP) in a cohort of patients in the post-prostate specific antigen (PSA) era. We reviewed the clinical and pathological data on a cohort of 476 patients who underwent RRP for localized prostate cancer between January 1990 and July 2001 by 1 urologist (WCD). Median age, preoperative PSA and followup were 61 years, 5.8 ng/ml and 49 months, respectively. We used Cox proportional hazard modeling to evaluate the prognostic significance of clinical and pathological variables for cancer recurrence, defined as 2 successive PSA determinations 0.3 ng/ml or greater. Of the 476 patients 53 (11%) had recurrence. Estimated cancer nonprogression probability was 86% (95% CI 83 to 90) and 76% (95% CI 68 to 86) at 5 and 10 years, respectively. Two multivariate analyses were performed. The first analysis, using only preoperative indicators, found that the percent of biopsy cores positive for cancer and biopsy Gleason score were the best predictive indicators of recurrence. The second multivariate analysis, using preoperative and postoperative indicators, found that the percent of biopsy cores positive for cancer, RRP Gleason score and the combined pathological stage/margin status variable were the best predictive indicators of recurrence. PSA was not found to be an important predictor of recurrence on either multivariate analysis. Patients with a percent of biopsy cores in the upper half of the distribution (greater than 28% positive) were at significantly increased risk for recurrence compared with those in the lower half of the distribution (28% or less positive) (HR 3.86, p <0.001).
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The percent of cores positive for cancer was a better predictor of cancer recurrence than PSA in this post-PSA era RRP series. In addition, surgical Gleason score and pathological stage/surgical margins were also independent predictors of cancer recurrence after RRP. These 3 predictors are displayed in a nomogram-type format to summarize estimated 5 and 10-year recurrence-free probabilities. Final Decision: yes