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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, P =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; P =0.019), advanced tumor
classification (OR 5.25, 95% CI 3.39–8.12; P <0.001),
and higher TNM stage (OR 6.18, 95% CI 3.79–10.09; P <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