已发表论文

miR-101 的减少在各种癌症中的预后价值:一个对 12 项研究的综合分析

 

Authors Hu J, Wu C, Zhao X, Liu C

Received 12 May 2017

Accepted for publication 25 June 2017

Published 24 July 2017 Volume 2017:10 Pages 3709—3718

DOI https://doi.org/10.2147/OTT.S141652

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Akshita Wason

Peer reviewer comments 2

Editor who approved publication: Dr XuYu Yang

Background: A consensus regarding the prognostic value of decreased miR-101 in human cancers has not been reached. This study aimed to comprehensively investigate the internal associations between loss of miR-101 expression and prognostic implications in patients with cancer.
Materials and methods: All relevant literature in electronic databases, including PubMed, ISI Web of Science, and Embase, up to March 1, 2017 were searched. Correlations between decreased miR-101 and clinicopathological parameters were defined by odds ratios (ORs). The degree of association between reduced miR-101 and survival outcome was evaluated by pooled hazard ratios (HRs) and relevant 95% CIs.
Results: Twelve eligible studies with 2,088 patients were included in this meta-analysis. Decreased miR-101 expression was closely connected with poor overall survival, with a pooled HR of 2.15 (95% CI 1.71–2.7, P <0.001). This correlation was also revealed when stratified analysis was conducted with respect to ethnicity, cancer type, sample size, specimen source, and analysis model. However, decreased miR-101 was not associated with disease-free survival, recurrence-free survival, or progression-free survival, with a pooled HR of 1.59 (95% CI 0.83–3.03, =0.128), despite a positive trend. In addition, reduced miR-101 was intimately related to poorer tumor differentiation (OR 2.17, 95% CI 1.14–4.13; =0.019), advanced tumor classification (OR 5.25, 95% CI 3.39–8.12; <0.001), and higher TNM stage (OR 6.18, 95% CI 3.79–10.09; <0.001).
Conclusion: Our findings suggest that loss of miR-101 expression is correlated with worse overall survival in a variety of cancers, and could serve as a predictive indicator for clinicopathological features. Furthermore, miR-101 may become a feasible therapeutic target in most human cancers.
Keywords: cancer, miR-101, prognosis, meta-analysis