Purpose: Up-regulation of caveolin-1 (cav-1) is associated with virulent prostate cancer, and serum cav-1levels are elevated in prostate cancer patients but not in benign prostatic hyperplasia. In this study, we evaluated the potential of high preoperative serum cav-1 levels to predict biochemical progression of prostate cancer. The value of the combined preoperative markers, prostate-specific antigen (PSA), biopsy Gleason score, and serum cav-1for predicting biochemical recurrence was also investigated. Experimental Design: Serum samples taken from 419 prostate cancer patients before radical prostatectomy were selected from our Specialized Programs of Research Excellence prostate cancer serum and tissue bank. Serum samples were obtained 0 to 180 days before surgery and all patients had complete data on age, sex, race, stage at enrollment, and follow-up for biochemical recurrence. Serum cav-1 levels were measured according to our previously reported ELISA protocol.Results: Cav-1levels were measured in the sera of 419 prostate cancer patients; the mean serum level was 4.52 ng/mL (median 1.01ng/mL). Patients with high serum cav-1levels had a 2.7-fold (P = 0.0493) greater risk of developing biochemical recurrence compared with those with low serum cav-1levels. Importantly, patients with serum PSA z10 ng/mL and elevated levels of serum cav-1had 2.44 times higher risk (P = 0.0256) of developing biochemical recurrence compared with patients with low levels of cav-1. In addition, high serum cav-1levels combined with increasing biopsy Gleason score predicted much shorter recurrence-free survival in the group of patients with PSA z 10 ng/mL (P = 0.0353). Cav-1was also able to distinguish between high-and low-risk patients with biopsy Gleason score of seven, after adjusting, for patients PSA levels (P = 0.0429). Conclusions: Overall, elevated preoperative levels of serum cav-1 predict decreased time to cancer recurrence. In the subset of patients with serum PSA of z10 ng/mL, the combination of serum cav-1and biopsy Gleason score has the capacity to predict time to biochemical recurrence.