Survival of African-American and Caucasian men after sipuleucel-T immunotherapy: outcomes from the PROCEED registry.

PURPOSE: African Americans experience greater prostate cancer risk and mortality than do Caucasians. An analysis of pooled phase III data suggested differences in overall survival (OS) between African American and Caucasian men receiving sipuleucel-T. We explored this in PROCEED (NCT01306890), an FDA-requested registry in over 1900 patients with metastatic castration-resistant prostate cancer (mCRPC) treated with sipuleucel-T. PATIENTS AND METHODS: OS for patients who received ≥1 sipuleucel-T infusion was compared between African American and Caucasian men using an all patient set and a baseline prostate-specific antigen (PSA)-matched set (two Caucasians to every one African American with baseline PSAs within 10% of each other). Univariable and multivariable analyses were conducted. Survival data were examined using Kaplan-Meier and Cox proportional hazard methodologies. RESULTS: Median follow-up was 46.6 months. Overall survival differed between African American and Caucasian men with hazard ratios (HR) of 0.81 (95% confidence interval [CI]: 0.68-0.97, P = 0.03) in the all patient set and 0.70 (95% CI: 0.57-0.86, P < 0.001) in the PSA-matched set. Median OS was longer in African Americans than in Caucasian men for both analysis sets, e.g., 35.3 and 25.8 months, respectively, in the PSA-matched set. Similar results were observed in the all patient set. Differences were larger when treatment began at lower baseline PSA; curves were more similar among patients with higher baseline PSA. In patients with baseline PSA below the median, the HR was 0.52 (95% CI: 0.37-0.72, P < 0.001), with median OS of 54.3 versus 33.4 months. Known prognostic factors and African American race (multivariable analyses; HR: 0.60, 95% CI: 0.48-0.74, P < 0.001) were independently associated with OS. Use of post-sipuleucel-T anticancer interventions was balanced between races. CONCLUSION: In this exploratory analysis of a registry including nearly 12% African American men with mCRPC, OS was significantly different between African Americans and Caucasians, indicating further research is warranted.

Prospective longitudinal comparative study of health-related quality of life in patients undergoing invasive treatments for localized prostate cancer.

BACKGROUND AND PURPOSE: Health-related quality of life (QoL) concerns are important for patients selecting treatment options for clinically localized prostate cancer and are critical in evaluating outcomes. We report pretreatment and post-treatment general and disease-specific QoL for the following invasive interventions: open radical prostatectomy (ORP), laparoscopic radical prostatectomy (LRP), and palladium-103 ((103)Pd) brachytherapy. PATIENTS AND METHODS: We performed a prospective longitudinal survey of 452 patients with newly diagnosed prostate cancer treated at a single medical center between 2001 and 2003. An Institutional Review Board-approved questionnaire comprised of validated QoL instruments was sent to patients scheduled to undergo ORP (N = 186), LRP (N = 116), or brachytherapy (N = 150). The same questionnaire was sent out 1, 3, 6, 9, and 12 months after therapy. Comparisons were made between the groups to determine if the choice of therapy resulted in differences in QoL. RESULTS: General QoL scores were minimally affected by the choices; however, the disease-specific domains of bowel, urinary, and sexual function were adversely affected by all modalities. The ORP and LRP groups were similar among disease-specific domains and received lower post-treatment urinary and sexual scores than the (103)Pd patients. At 12 months, 38% of ORP and 46% of LRP patients had returned to baseline urinary function compared with 75% of (103)Pd patients. At 12 months, 63% of (103)Pd patients had returned to baseline sexual function compared with 19% of both the LRP and ORP patients. CONCLUSIONS: Invasive treatments for localized prostate cancer have little impact on general QoL but significantly affect disease-specific domains. Both ORP and LRP have a greater initial negative impact on urinary and sexual function than (103)Pd. The differences among the treatments with regard to QoL provide information to patients faced with choosing a treatment.

Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients.

BACKGROUND: The low specificity of the prostate-specific antigen (PSA) test makes it a poor biomarker for early detection of prostate cancer (PCA). Because single biomarkers most likely will not be found that are expressed by all genetic forms of PCA, we evaluated and developed a proteomic approach for the simultaneous detection and analysis of multiple proteins for the differentiation of PCA from noncancer patients. METHODS: Serum samples from 386 men [197 with PCA, 92 with benign prostatic hyperplasia (BPH), and 96 healthy individuals], randomly divided into training (n = 326) and test (n = 60) sets, were analyzed by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry. The 124 peaks detected by computer analyses were analyzed in the training set by a boosting tree algorithm to develop a classifier for separating PCA from the noncancer groups. The classifier was then challenged with the test set (30 PCA samples, 15 BPH samples, 15 samples from healthy men) to determine the validity and accuracy of the classification system. RESULTS: Two classifiers were developed. The AdaBoost classifier completely separated the PCA from the noncancer samples, achieving 100% sensitivity and specificity. The second classifier, the Boosted Decision Stump Feature Selection classifier, was easier to interpret and used only 21 (compared with 74) peaks and a combination of 21 (vs 500) base classifiers to achieve a sensitivity and specificity of 97% for the test set. CONCLUSIONS: The high sensitivity and specificity achieved in this study provides support of the potential for SELDI, coupled with a bioinformatics learning algorithm, to improve the early detection/diagnosis of PCA.