MP58-12 A FOUR MIRNAS SIGNATURE AS A POTENTIAL BIOMARKER FOR PREDICTING SURVIVAL USING BIOINFORMATICS ANALYSIS IN BLADDER CANCER

Abstract

You have accessJournal of UrologyBladder Cancer: Basic Research & Pathophysiology II1 Apr 2018MP58-12 A FOUR MIRNAS SIGNATURE AS A POTENTIAL BIOMARKER FOR PREDICTING SURVIVAL USING BIOINFORMATICS ANALYSIS IN BLADDER CANCER He Xiao, Ping Chen, Deqiang Xu, Michael E DiSanto, Xinhua Zhang, and Xinhua Zhang He XiaoHe Xiao More articles by this author , Ping ChenPing Chen More articles by this author , Deqiang XuDeqiang Xu More articles by this author , Michael E DiSantoMichael E DiSanto More articles by this author , Xinhua ZhangXinhua Zhang More articles by this author , and Xinhua ZhangXinhua Zhang More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.1844AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Human bladder cancer (BCa) is a common disease, with the etiology and mechanism unknown. Accumulated evidence shows that micro RNAs (miRNAs) play vital roles and can be used as biomarkers for many types of cancers. The aim of this study is to use bioinformatics analysis to identify the key miRNAs and potential target genes, as well as studying the underlying mechanisms for BCa. METHODS The raw sequencing data and clinical information were downloaded from TCGA database. The miRNA profiles were normalized by log2 transformed. Subsequently, a prognostic miRNA signature was constructed, and the miRNA signature could calculate a risk score for each bladder cancer patient. The target genes of prognostic miRNAs were predicted using TargetScan, miRDB, PicTar, and miRanda online analysis tools. To further enhance the bioinformatics analysis reliability, the overlapping target genes were identified using Venn diagram and the Database for Annotation, Visualization and Integrated Discovery bioinformatics tool. RESULTS In the present study, a total of 407 samples were enrolled and 348 differentially expressed miRNAs were identified between bladder cancer tissues and normal tissues, including 264 up-regulated miRNAs and 84 down-regulated miRNAs. Meanwhile, the Kaplan-Meier survival method revealed that the prognostic function of four miRNAs (miRNA-217, miRNA-378c, miR-33b and miRNA-615). miR-217, miR-33b and miR-615 were positively associated to overall survival (OS), while miR-378c was reversely correlated with OS. Interestingly, univariate and multivariate Cox regression analyses showed that the four-miRNA (miRNA-217, miRNA-378c, miR-33b and miRNA-615) signature was an independent prognostic factor in bladder cancer. The functional enrichment analysis showed that the target genes of four miRNAs might be involved in various pathways related to cancer signaling pathways, including Notch signaling pathway, PI3K-Akt signaling pathway, p53 signaling pathway, cGMP-PKG signaling pathway, FoxO and signaling pathway. CONCLUSIONS This study identified, for the first time, a four-miRNA signature as a potential prognostic predictor for bladder cancer patients. Further studies are needed to validate our findings in large sample size, and function investigations are also required to explore the molecular mechanisms of these miRNAs in bladder cancer progression. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e777 Advertisement Copyright & Permissions© 2018MetricsAuthor Information He Xiao More articles by this author Ping Chen More articles by this author Deqiang Xu More articles by this author Michael E DiSanto More articles by this author Xinhua Zhang More articles by this author Xinhua Zhang More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...