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Authors Zhao F, Ge YZ, Zhou LH, Xu LW, Xu Z, Ping WW, Wang M, Zhou CC, Wu R, Jia RP
Received 15 July 2017
Accepted for publication 8 October 2017
Published 22 November 2017 Volume 2017:10 Pages 5551—5559
DOI https://doi.org/10.2147/OTT.S146479
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 2
Editor who approved publication: Dr Carlos Vigil Gonzales
Abstract: Bladder cancer (BC) is
a common urinary system tumor with high aggressiveness, and it results in
relatively high mortality due to a lack of precise and suitable biomarkers. In
this study, we applied the weighted gene coexpression network analysis method
to miRNA expression data from BC patients, and screened for network modules
associated with BC progression. Hub miRNAs were selected, followed by
functional enrichment analyses of their target genes for the most closely
related module. These hub miRNAs were found to be involved in several
functional pathways including pathway in cancer, regulation of actin
cytoskeleton, PI3K-Akt signaling pathway, mitogen-activated protein kinase
(MAPK) signaling pathway, Wnt signaling pathway, proteoglycans in cancer, focal
adhesion and p53 signaling pathway via regulating target genes. Finally, their
prognostic significance was tested using analyses of overall survival. A few
novel prognostic miRNAs were identified based on expression profiles and related
survival data. In conclusion, several miRNAs that were critical in BC
initiation and progression have been identified in this study. These miRNAs,
which may contribute to a comprehensive understanding of the pathogenesis of
BC, could serve as potential biomarkers for BC prognosis or as new therapeutic
targets.
Keywords: bladder cancer,
miRNA expression, functional enrichment analysis, bioinformatics analysis