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Preoperative PSA Velocity Is an Independent Prognostic Factor for Relapse After Radical Prostatectomy

From the Departments of Radiation Oncology and Urology, Division of Urologic Oncology, Stanford University School of Medicine, Stanford, CA

Address reprint requests to Christopher R. King, PhD, MD, Department of Radiation Oncology, Stanford University School of Medicine, 875 Blake Wilbur Dr, Stanford, CA 94305-5847; e-mail: christopher.king{at}stanford.edu

PURPOSE: Preoperative prostate-specific antigen (PSA) velocity (PSAV), or the rate of PSA rise before diagnosis, predicts for risk of cancer death after radical prostatectomy (RP). We evaluated the relative merit of established preoperative factors, including biopsy indices and preoperative PSAV, for their impact on relapse after RP.

PATIENTS AND METHODS: The outcomes of 202 men who underwent RP were reviewed. Biopsies were characterized for grade, percentage positive cores, and total linear tumor length. Surgical specimens were characterized for cancer volume, relative percentage by grade, extracapsular extension, and margin status. Univariate and multivariate analyses were performed with respect to relapse-free survival after RP.

RESULTS: Thirty-one patients relapsed after RP (defined as PSA 0.2 ng/mL), with a median time to failure of 16 months. Median follow-up was 48 months. Kaplan-Meier relapse-free survival at 5 years was 89%, compared with 73% for PSAV 2 v > 2 ng/mL/year (P = .003). On multivariate analysis, only the biopsy Gleason sum (P < .008; relative risk, > 4.8) and the preoperative PSAV (P < .04; relative risk, 3.0 to 4.7) remained significant. Patients with a PSAV of > 2 ng/mL/year were more likely to be pT3 (P = .007), have positive margins (P = .01), have tumors > 1 mL (P = .05), and possess > 10% grade 4/5 tumors (P = .04).

CONCLUSION: The preoperative PSAV is a significant independent clinical factor predicting for relapse after RP and also predicts for larger, more aggressive, and more locally advanced tumors. Its inclusion will be useful in risk stratification, evaluation for alternatives to surgery, and patient selection for neoadjuvant or adjuvant therapies as part of randomized clinical trials.

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