You have accessJournal of UrologyLate-breaking Abstract II - Malignant1 Sep 2021LBA02-09 A HIGH THROUGH-PUT TEST INTERROGATING 442 SMALL NON-CODING RNAS (SNCRNA) EXTRACTED FROM URINE EXOSOMES ACCURATELY IDENTIFIES AND STRATIFIES PROSTATE CANCER INTO LOW-, INTERMEDIATE- OR HIGH-RISK DISEASE Laurence Klotz, Carl Olsson, Deepak Kapoor, Ann Anderson, Frederico Corica, Alberto Corica, San Juan, Puerto Rico, James Libby, Martin Tenniswood, Rebecca Devaux, Greg DiRienzo, and Winnie Wang Laurence KlotzLaurence Klotz More articles by this author , Carl OlssonCarl Olsson More articles by this author , Deepak KapoorDeepak Kapoor More articles by this author , Ann AndersonAnn Anderson More articles by this author , Frederico CoricaFrederico Corica More articles by this author , Alberto CoricaAlberto Corica More articles by this author , San JuanSan Juan More articles by this author , Puerto RicoPuerto Rico More articles by this author , James LibbyJames Libby More articles by this author , Martin TenniswoodMartin Tenniswood More articles by this author , Rebecca DevauxRebecca Devaux More articles by this author , Greg DiRienzoGreg DiRienzo More articles by this author , and Winnie WangWinnie Wang More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002149.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The miR Sentinel® PCC4 Test measures the expressions of 442 small non-coding RNAs (sncRNAs) extracted from urinary exosomes to differentiate patients with no molecular evidence of prostate cancer (NMEPC) from those with molecular evidence of prostate cancer (MEPC). The test further classifies men with MEPC into low-, intermediate- or high-risk disease. We compared the results of the miR Sentinel® PCC4 Test to systematic core needle biopsy in men presenting with initial suspicion of prostate cancer. METHODS: A total of 444 men over 45 years of age, scheduled for their first core needle biopsy, were recruited to the study. sncRNAs were isolated from urinary exosomes and interrogated by RT-PCR on a custom designed OpenArray platform to provide the molecular classifications of “NMEPC” or low-, intermediate- or high-risk prostate cancer. RESULTS: The molecular classification was compared to the Gleason Grade Group (GG). Sensitivity and Specificity for the classification of {NPEPC or GG1} versus {GG2-5} was 130/132=98% and 300/312=96% respectively. The concordance between the two methods is shown on the diagonal below as 413/444=93%. The false-negatives of the Test are the lower-left discordances (5/444=1%), whereas the apparent false-positives correspond to the upper-right discordances (26/444=6%). The term ‘apparent’ alludes to the known false negative rate of systematic biopsy for significant cancer, which may account for some of the false positive test results. Negative and positive predictive values of the Test for NMEPC versus MEPC were 97% (164/169) and 92% (253/275), respectively. CONCLUSIONS: The miR Sentinel® PCC4 Test appears to offer an accurate non-invasive means to accurately identify the presence or absence of prostate cancer and predict pathological grade on biopsy. Source of Funding: The study was funded by miRScientific © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e1178-e1179 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Laurence Klotz More articles by this author Carl Olsson More articles by this author Deepak Kapoor More articles by this author Ann Anderson More articles by this author Frederico Corica More articles by this author Alberto Corica More articles by this author San Juan More articles by this author Puerto Rico More articles by this author James Libby More articles by this author Martin Tenniswood More articles by this author Rebecca Devaux More articles by this author Greg DiRienzo More articles by this author Winnie Wang More articles by this author Expand All Advertisement Loading ...