PD03-10 VALIDATION OF THE 2015 PROSTATE CANCER PROGNOSTIC GRADE GROUPS FOR PREDICTING LONG-TERM ONCOLOGIC OUTCOMES IN A SHARED EQUAL ACCESS HEALTH SYSTEM.

Abstract

You have accessJournal of UrologyProstate Cancer: Epidemiology & Natural History I1 Apr 2017PD03-10 VALIDATION OF THE 2015 PROSTATE CANCER PROGNOSTIC GRADE GROUPS FOR PREDICTING LONG-TERM ONCOLOGIC OUTCOMES IN A SHARED EQUAL ACCESS HEALTH SYSTEM. Ariel Schulman, Lauren Howard, Kae Jack Tay, Rajan Gupta, Efrat Tsivian, Christopher Amling, William Aronson, Matthew Cooperberg, Christopher Kane, Martha Terris, Stephen Freedland, and Thomas Polascik Ariel SchulmanAriel Schulman More articles by this author , Lauren HowardLauren Howard More articles by this author , Kae Jack TayKae Jack Tay More articles by this author , Rajan GuptaRajan Gupta More articles by this author , Efrat TsivianEfrat Tsivian More articles by this author , Christopher AmlingChristopher Amling More articles by this author , William AronsonWilliam Aronson More articles by this author , Matthew CooperbergMatthew Cooperberg More articles by this author , Christopher KaneChristopher Kane More articles by this author , Martha TerrisMartha Terris More articles by this author , Stephen FreedlandStephen Freedland More articles by this author , and Thomas PolascikThomas Polascik More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.216AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The 2015 prostate cancer grading system was introduced to simplify pathologic stratification. We examine the performance of the Prognostic Grade Groups (PGG) in the Shared Equal Access Regional Cancer Hospital (SEARCH) database with respect to long term prostate cancer outcomes and whether associations vary by race within an equal access healthcare system. METHODS We performed a retrospective review of men undergoing radical prostatectomy at one of six Veterans Affairs hospitals between 1988 and 2015. We identified 4,325 men with available data. The prognostic ability of PGG for multiple long term clinical endpoints was examined using Cox models. Interactions between PGG and race were tested. RESULTS The cohort consisted of PGG 1 through 5, respectively: 2,077(48%), 1,171(27%), 521(12%), 409(10%), 147(3%). 1,596(38%) were African American. Median follow up was 86(IQR: 45 to 135) months. Higher PGG was associated with higher stage, older age, more recent year of surgery and surgical center (p<0.02). African American men had a lower PGG distribution (p=0.028). Higher PGG was associated with increased risk of all clinical endpoints on univariable and multivariable regression including biochemical recurrence (BCR), adjuvant therapy, castrate resistant prostate cancer (CRPC) [Figure 1, left], metastases, prostate cancer specific mortality (PCSM) and overall survival (OS) [Figure 1, right] (all p<0.001).We found no significant interactions with race in predicting any of the measured outcomes. (BCR: p=0.78, adjuvant therapy: p=0.60, CRPC: p=0.91, metastases: p=0.61, PCSM: p=0.83, OS: p=0.21). CONCLUSIONS The 2015 Prognostic Grade Groups predicted multiple long term clinical endpoints after prostatectomy in a large, multiracial cohort of men. The predictive value for survival endpoints was similar in Caucasian and African American men. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e60-e61 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Ariel Schulman More articles by this author Lauren Howard More articles by this author Kae Jack Tay More articles by this author Rajan Gupta More articles by this author Efrat Tsivian More articles by this author Christopher Amling More articles by this author William Aronson More articles by this author Matthew Cooperberg More articles by this author Christopher Kane More articles by this author Martha Terris More articles by this author Stephen Freedland More articles by this author Thomas Polascik More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...