MP40-19 WEST-AFRICAN ANCESTRY CAN AID PREDICTION OF HIGH-GRADE PROSTATE CANCER IN BLACK-TAILORED RISK CALCULATOR

Abstract

You have accessJournal of UrologyCME1 Apr 2023MP40-19 WEST-AFRICAN ANCESTRY CAN AID PREDICTION OF HIGH-GRADE PROSTATE CANCER IN BLACK-TAILORED RISK CALCULATOR Neil Mistry, Zequn Sun, Norma Marshall, Rick Kittles, Edward Schaeffer, Peter Gann, and Adam Murphy Neil MistryNeil Mistry More articles by this author , Zequn SunZequn Sun More articles by this author , Norma MarshallNorma Marshall More articles by this author , Rick KittlesRick Kittles More articles by this author , Edward SchaefferEdward Schaeffer More articles by this author , Peter GannPeter Gann More articles by this author , and Adam MurphyAdam Murphy More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003278.19AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The Kaiser Permanent Prostate Cancer (KPPC), Prostate Cancer Prevention Trial (PCPT) and Prostate Biopsy Collaborative Group (PBCG) risk calculators (RCs) improve the detection of high-grade, Gleason Grade Group ≥2 prostate cancer (HGPCa) but result in excessive biopsies in Black men. Genetic West African Ancestry (WA) is associated with increased risk of HGPCa, but its impact on RC accuracy is unknown. We aimed to validate a tailored RC to improve accuracy and assess if WA can augment accuracy. METHODS: We recruited men undergoing prostate biopsy from 5 Chicago clinics from 2009-2014. We split the sample into development (75%) and validation (25%) cohorts. A second cohort from the same sites from 2016-2019 provided external validation. Exclusion criteria were non-Black race and PSA >50 ng/ml. We created 2 binary logistic regressions to predict HGPCa using clinical variables alone and including WA. Model accuracy was assessed using area under curve (AUC). RESULTS: 393 Black men were included for development/internal validation, and 354 for external validation. Table 1 shows model performance and comparisons to prior RCs. CONCLUSIONS: A tailored RC improves HGPCa prediction in Blacks compared to popular RCs. Including genetic ancestry as a risk factor alongside clinical variables may help alleviate PCa disparities faced by Black men. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e553 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Neil Mistry More articles by this author Zequn Sun More articles by this author Norma Marshall More articles by this author Rick Kittles More articles by this author Edward Schaeffer More articles by this author Peter Gann More articles by this author Adam Murphy More articles by this author Expand All Advertisement PDF downloadLoading ...