A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer

Background: there is increasing evidence to suggest that mirnas play an important role in predicting cancer survival. to identify a panel of mirna signature that can divided tumor from normal bladder using mirna expression levels,and to assess the prognostic value of this specific mirna markers in bladder cancer (bca). methods: a comprehensive meta-review of published mirna expression profiles that compared bca and adjacent normal tissues was performed to determine candidate mirnas as prognostic biomarkers for bca. vote-counting strategy and robust rank aggregation method were used to identify significant meta-signature mirnas. results: we identified an eight-mirna signature including three upregulated (mir-141,mir-200c,mir-21) and five downregulated (mir-145,mir-125,mir-199a,let-7c and mir-99a) mirnas for the prediction of overall survival (os) using tcga dataset,and validated in our 48 bca patients. x-tile plot was used to generate the optimum cut-off point and kaplan-meier method was used to calculate os. a linear prognostic model of eight mirnas was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. patients assigned to the high-risk group were associated with poor os compared with patients in the low-risk group (hr∈=∈5.21,p∈<∈0.001). our validation cohort of 48 patients confirmed the panel of 8-mirnas as a reliable prognostic tool for os in patients with bca (hr∈=∈5.04,p∈<∈0.001). conclusion: the present meta-analysis identified eight highly significant and consistently dysregulated mirnas from 19 datasets. we also constructed an eight-mirna signature which provided predictive and prognostic value that complements traditional clinicopathological risk factors. © 2015 zhou et al.