MP82-16 INTESTINAL MICROBIOME ANALYSIS IDENTIFIES BACTERIA AND BIOSYNTHESIS PATHWAYS ASSOCIATED WITH PROSTATE CANCER

Abstract

You have accessJournal of UrologyProstate Cancer: Detection & Screening VII1 Apr 2018MP82-16 INTESTINAL MICROBIOME ANALYSIS IDENTIFIES BACTERIA AND BIOSYNTHESIS PATHWAYS ASSOCIATED WITH PROSTATE CANCER Michael Liss, Dimpy Shah, Robin Leach, Elizabeth Rourke, Joseph Basler, and James White Michael LissMichael Liss More articles by this author , Dimpy ShahDimpy Shah More articles by this author , Robin LeachRobin Leach More articles by this author , Elizabeth RourkeElizabeth Rourke More articles by this author , Joseph BaslerJoseph Basler More articles by this author , and James WhiteJames White More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.2744AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The intestinal microbiome plays an important role in human disease and may have new implications in prostate cancer. Specifically we investigate bacterial diversity in those with and without cancer (dysbiosis) as well as specific pathways to target with prebiotic (dietary) or probiotic therapies. METHODS We prospectively collected 134 rectal swab samples at least 2 weeks prior to transrectal prostate biopsy. After exclusions, we analyzed 104 samples (Cancer =64, No Cancer 41). We performed 16S rRNA amplicon sequencing (MiSeq paired-end) using a V1V2 primer set. Taxonomic assignment was performed using Resphera Insight, and alpha and beta-diversity analysis utilized QIIME. PICRUSt was applied to infer functional categories associated with taxonomic composition. The Mann-Whitney U test was employed to evaluate statistical significance of beta-diversity distances within and between groups of interest. Differential abundance analysis utilized the nonparametric difference test for alpha diversity measures and the negative binomial test for taxonomic count data with P-value correction using the False Discovery Rate (FDR). RESULTS We identified significant associations between total community composition and cancer/non-cancer status (Bray-Curtis and UniFrac measures; p<0.0001). Overall, differential abundance analysis indicated that the large majority taxa were statistically similar between cancer and non-cancer groups. Bifidobacterium was infrequent and was not differentially abundant between groups (Adj.P p = 0.68). At the species level, we found significant differences between groups including Bacteroides and Streptococcus species in cancer (all p<0.04). When we examine differentially abundant microbial gene content between groups, we found associations with bacteria involved in carbohydrate metabolism in cancer subjects, especially galactose (p=0.036). Bacteria associated folate and arginine metabolism was significantly enriched in non-cancer cases (p=0.004 and p=0.001, respectively). CONCLUSIONS Microbiome analysis on men undergoing prostate biopsy noted an altered gut community composition in those eventually diagnosed with prostate cancer, specifically bacterial associated with carbohydrate metabolism pathways. Microbiome and diet interaction studies of arginine and folate are warranted. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e1112 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Michael Liss More articles by this author Dimpy Shah More articles by this author Robin Leach More articles by this author Elizabeth Rourke More articles by this author Joseph Basler More articles by this author James White More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...