A Four miRNAs Signature as a Potential Biomarker for Predicting Survival Using Bioinformatics Analysis in Bladder Cancer

He Xiao, Ye Jiang, DaxinZhan, Ping Chen, Deqiang Xu, Xinghuan Wang, Michael E Di Santo and Xinhua Zhang

Department of Urology, Zhongnan Hospital of Wuhan University, China
Department of Urology, People’s Hospital of Qichun County, China
Department of Anesthesiology, Zhongnan Hospital of University, China
Department of Surgery and Biomedical Sciences, Cooper Medical School of Rowan University, USA
These authors contribute equally to this work

^*Correspondance to: Xinhua Zhang 

 PDF  Full Text DOI: 10.25107/2474-1647.2553

Abstract

Increasing evidences showed that a huge number of miRNAs were abnormally expressed in bladder cancer tissues and played vital roles in tumorigenesis, progression and metastasis. The aim of our study was to identify the differential miRNAs expression between bladder cancer and normal bladder tissues by analyzing the high-throughput miRNA data downloaded from TCGA database. Additionally, we evaluated the prognostic values of the differentially expressed miRNAs and constructed a four-miRNA signature that could effectively predict patient survival. According to the cut-off criteria (P<0.05 and |log2FC>1.2), a total of 348 differentially expressed miRNAs were identified between bladder cancer tissues and matched normal tissues, including 264 up-regulated miRNAs and 84 down-regulated miRNAs. The Kaplan-Meier survival method revealed the prognostic function of the four miRNAs (miRNA-217, miRNA-378c, miR-33b and miRNA-615). Univariate and multivariate Cox regression analysis showed that the four-miRNA signature was an independent prognostic factor in bladder cancer. The functional enrichment analysis showed that the target genes of four miRNAs may be involved in various pathways related to cancer, including Notch signaling pathway, PI3K-Akt signaling pathway, p53 signaling pathway, cGMPPKG signaling pathway, FOXO and signaling pathway. Taken together, our study suggested that four-miRNA signature could be used as a prognostic marker in bladder cancer.

Keywords

Bladder cancer; miRNA profiles; miRNA signature; Prognosis; TCGA; Bioinformatics analysis

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