MP26-16 PERFORMANCE OF PROMPT-PROSTATE GENETIC SCORE IN A JAPANESE COHORT

Abstract

You have accessJournal of UrologyProstate Cancer: Detection & Screening II (MP26)1 Sep 2021MP26-16 PERFORMANCE OF PROMPT-PROSTATE GENETIC SCORE IN A JAPANESE COHORT Vi Nguyen, Shusuke Akamatsu, Fady Ghali, Arman Walia, Naoki Terada, Hidewaki Nakagawa, Osamu Ogawa, and A. Karim Kader Vi NguyenVi Nguyen More articles by this author , Shusuke AkamatsuShusuke Akamatsu More articles by this author , Fady GhaliFady Ghali More articles by this author , Arman WaliaArman Walia More articles by this author , Naoki TeradaNaoki Terada More articles by this author , Hidewaki NakagawaHidewaki Nakagawa More articles by this author , Osamu OgawaOsamu Ogawa More articles by this author , and A. Karim KaderA. Karim Kader More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002023.16AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The benefit of prostate specific antigen (PSA)-based prostate cancer (PCa) screening is greatly debated due to the high number needed to screen/treat to garner a mortality benefit. Risk adapted screening has emerged as an important strategy. Although germline single nucleotide polymorphism (SNP) testing for PCa risk stratification has been validated in Caucasian men, studies are warranted in other ethnicities. We sought to investigate the performance of Prompt-prostate genetic score (PGS) among Japanese men. METHODS: Case-control genetic and phenotypic data was obtained from 1281 Japanese men between 2015-2017 presenting for prostate biopsy. Prompt-PGS was calculated using weighted odds ratios for 40 PCa-associated SNPs. Chi-square and t-test analyses were performed for categorical and continuous variables using SPSS. Receiver operating characteristic (ROC)-plots were utilized to calculate area under the curve (AUC). RESULTS: Seven hundred seventy-three men were diagnosed with PCa (60.3%). Median age was 69 (37-91), 6.2% (n=80) had family history (FH) of PCa, 24.1% (n=309) had an abnormal DRE, and 55.7% (n=714) of men underwent an MRI prior to biopsy; of those, 75.6% (n=540) were abnormal, defined as PIRADS 4 or greater. Median PSA and PSA density (PSAD) were 7.15 (0.03-14426) and 0.25 (0.002-265.67). Median Prompt-PGS for men with and without PCa was 1.03 (0.17-5.62) and 0.82 (0.12-4.39; p<0.001). Significant independent predictors of PCa included age, abnormal DRE, abnormal MRI, PSA, PSAD, and Prompt-PGS. ROC plot analyses revealed that the addition of Prompt-PGS strengthens the predictive power of age and FH (AUC 0.67 vs 0.72), and that this baseline risk assessment is improved in an additive fashion when taking into account abnormal DRE, PSA, PSAD, and abnormal MRI (Figures 1a&b). CONCLUSIONS: Baseline assessment of PCa risk is substantially improved by including Prompt-PGS in this Japanese cohort in which FH was not predictive. When baseline risk is supplemented by adding DRE, PSA and PSAD, the model performs so well that MRI does not result in improved performance. Source of Funding: None © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e469-e469 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Vi Nguyen More articles by this author Shusuke Akamatsu More articles by this author Fady Ghali More articles by this author Arman Walia More articles by this author Naoki Terada More articles by this author Hidewaki Nakagawa More articles by this author Osamu Ogawa More articles by this author A. Karim Kader More articles by this author Expand All Advertisement Loading ...