MP28-19 EVALUATING THE PROGNOSTIC UTILITY OF THE CCP SCORE FOR PREDICTING PROSTATE CANCER AGGRESSIVENESS IN AFRICAN AMERICAN MEN

Abstract

You have accessJournal of UrologyProstate Cancer: Markers I1 Apr 2017MP28-19 EVALUATING THE PROGNOSTIC UTILITY OF THE CCP SCORE FOR PREDICTING PROSTATE CANCER AGGRESSIVENESS IN AFRICAN AMERICAN MEN Stephen Bardot, Julia Reid, Maria Latsis, Margaret Variano, Shams Halat, Daniel Canter, Zaina Sangale, Michael Brawer, and Steven Stone Stephen BardotStephen Bardot More articles by this author , Julia ReidJulia Reid More articles by this author , Maria LatsisMaria Latsis More articles by this author , Margaret VarianoMargaret Variano More articles by this author , Shams HalatShams Halat More articles by this author , Daniel CanterDaniel Canter More articles by this author , Zaina SangaleZaina Sangale More articles by this author , Michael BrawerMichael Brawer More articles by this author , and Steven StoneSteven Stone More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.832AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The cell cycle progression score (CCP score, based on measuring the expression levels of CCP genes) has proven to be a robust predictor of prostate cancer outcomes in various clinical settings and patient populations. However data regarding the ability to predict outcomes in African American (AA) men are sparse. Here, we evaluate the utility of the CCP score generated from diagnostic biopsy to predict BCR and metastatic disease in a large cohort of treated patients at an academic teaching institution that is highly enriched with AA patient population. METHODS Patients were diagnosed with clinically localized adenocarcinoma of the prostate and treated at the Ochsner Clinic (New Orleans, LA) between January 2006 and December 2011 who had available FFPE biopsy tissue. The final cohort consisted of 694 men with both a passing CCP score and complete clinical information for calculation of CAPRA. Thirty-eight (38) percent of the cohort was AA. Study outcomes included time from disease diagnosis to either metastatic disease (N = 33, 5%), or time to BCR (N = 94, 17%) after primary treatment (EBRT or RP). Median follow-up time for patients who did not experience an event or death before the study end was 6 years. Association with outcomes was evaluated by CoxPH survival analysis and likelihood ratio tests. RESULTS The CCP score distribution was not different by race (p = 0.66) and had an overall mean of 0.42 (IQR = -0.20, 1.00). The primary pre-planned analysis called for evaluating the association of CCP score with outcome after adjusting for CAPRA and race. In this multivariable analysis the CCP score strongly predicted both BCR [HR per unit score = 1.50, 95%CI (1.22, 1.86), p = 0.00029] and metastatic disease [HR per unit score = 2.02, 95%CI (1.48, 2.77), p = 4.2 x 10-5]. Race was not significantly associated with either outcome (p=0.51 for BCR; p=0.28 for metastatic disease). Further, there was no interaction between CCP score and race (p = 0.21), indicating that a unit increase in the score confers the same relative increase in risk to either Caucasian or African American patients. There was also no interaction between CCP score and treatment type (p = 0.34). CONCLUSIONS The CCP score provides significant prognostic information to AA patients that cannot be obtained from clinicopathologic variables. Therefore, the score is a useful tool to help differentiate risk among AA men and enables more informed clinical management of their disease. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e346 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Stephen Bardot More articles by this author Julia Reid More articles by this author Maria Latsis More articles by this author Margaret Variano More articles by this author Shams Halat More articles by this author Daniel Canter More articles by this author Zaina Sangale More articles by this author Michael Brawer More articles by this author Steven Stone More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...