You have accessJournal of UrologyProstate Cancer: Markers I1 Apr 2018MP35-10 DETECTION OF PROSTATE CANCER-ASSOCIATED TRANSCRIPTS IN URINARY EXTRACELLULAR VESICLES Kathryn Pellegrini, Dattatraya Patil, Kristen Douglas, Ella Anastasiades, Kristin Larsen, Frances Kim, Almira Catic, Mersiha Torlak, Eugene Huang, Carlos Moreno, and Martin Sanda Kathryn PellegriniKathryn Pellegrini More articles by this author , Dattatraya PatilDattatraya Patil More articles by this author , Kristen DouglasKristen Douglas More articles by this author , Ella AnastasiadesElla Anastasiades More articles by this author , Kristin LarsenKristin Larsen More articles by this author , Frances KimFrances Kim More articles by this author , Almira CaticAlmira Catic More articles by this author , Mersiha TorlakMersiha Torlak More articles by this author , Eugene HuangEugene Huang More articles by this author , Carlos MorenoCarlos Moreno More articles by this author , and Martin SandaMartin Sanda More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.1123AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The relatively high rate of negative prostate biopsy demonstrates the need for additional non-invasive biomarkers to improve the diagnosis and classification of prostate cancers prior to biopsy. We have previously established that post-DRE extracellular vesicles (EVs) are enriched for prostate-specific RNAs, making them an ideal target for prostate cancer biomarker discovery. In our current study, we aimed to identify genes with increased expression in the post-DRE urine EVs of patients with aggressive prostate cancer. METHODS We developed and refined a method for the targeted analysis of over 260 different RNA transcripts in post-DRE urine EVs. Genes were selected for inclusion in our assay based on their prior inclusion on tissue biomarker panels of aggressive prostate cancer, or from analysis of TCGA datasets to identify genes with both significant over-expression in aggressive prostate cancer and minimal expression in normal genitourinary tissues. RESULTS We prepared RNA from the post-DRE urine EVs of 29 men and used our targeted RNA sequencing assay to measure expression of over 260 different transcripts. We detected 92 transcripts (34%) in all 29 specimens, with only 19 transcripts (7%) being undetectable in any specimen. Comparison of patients with no evidence of disease (n = 15) and patients with Gleason Score ≥7 prostate cancer (n = 14) identified 25 genes with significantly higher expression in patients with aggressive prostate cancer, including known prostate cancer-associated genes such as PCA3, AMACR, and SPINK1, while KLK3 showed no significant difference in expression (Figure 1). CONCLUSIONS Post-DRE urine EVs contain transcripts that are indicative of prostate cancer status and represent a novel source for biomarker discovery and development. Further investigation of patient specimens with this method offers the potential to determine combinations of transcripts that could be used to non-invasively detect and monitor prostate cancer status. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e450-e451 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Kathryn Pellegrini More articles by this author Dattatraya Patil More articles by this author Kristen Douglas More articles by this author Ella Anastasiades More articles by this author Kristin Larsen More articles by this author Frances Kim More articles by this author Almira Catic More articles by this author Mersiha Torlak More articles by this author Eugene Huang More articles by this author Carlos Moreno More articles by this author Martin Sanda More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...