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Review
. 2019 Nov 22:2019:1654780.
doi: 10.1155/2019/1654780. eCollection 2019.

Role of MicroRNA-124 as a Prognostic Factor in Multiple Neoplasms: A Meta-Analysis

Affiliations
Review

Role of MicroRNA-124 as a Prognostic Factor in Multiple Neoplasms: A Meta-Analysis

Zijian Zhou et al. Dis Markers. .

Abstract

Objective: MicroRNA-124 (miR-124) was revealed to be an attractive prognostic tumour biomarker in recent studies. However, the results remain inconclusive. Hence, this meta-analysis was carried out to clarify the precise predictive value of miR-124.

Materials and methods: Relevant studies were searched in PubMed, EMBASE, Web of Science, and the Cochrane Library up to October 2018. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were extracted from the selected studies.

Results: A total of 29 articles investigating the correlation between miR-124 expression and prognosis were initially identified. The pooled HR for overall survival (OS) of high miR-124 expression in multiple cancers was 0.55 (95%CI = 0.50-0.61). Disease-free survival (DFS)/progression-free survival (HR = 0.48, 95%CI = 0.38-0.61) revealed a protective role of increased miR-124 expression. Epigenetic hypermethylation of miR-124 mediated the silencing of its expression, which is correlated significantly with unfavourable survival (OS: HR = 2.06, 95%CI = 1.68-2.53; DFS/recurrence-free survival: HR = 2.77, 95%CI = 1.85-4.16).

Conclusions: Taken together, our results suggest that miR-124 plays an antioncogenic role in various tumors, such as lung cancer and colorectal cancer. If methylation of miR-124 could be prevented, progression and metastasis would be improved; thus, miR-124 may be a promising biomarker and novel therapeutic target. Further large-scale studies are needed to confirm this possible effect.

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Conflict of interest statement

We declare that we have no financial and personal relationships with other persons or organisations that can inappropriately influence our work. We have no professional or personal interest of any nature or kind in any product, service, and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.

Figures

Figure 1
Figure 1
Flow diagram of the study selection process.
Figure 2
Figure 2
(a) Forest plots of HRs estimated for the correlation between the expression of miR-124 and overall survival (OS). (b) Galbraith plot used to find the cause of heterogeneity in OS.
Figure 3
Figure 3
Forest plots of HRs estimated for the correlation between methylation of miR-124 and patient survival.
Figure 4
Figure 4
(a) Sensitivity analysis of overall survival. (b) Sensitivity analysis of methylation.
Figure 5
Figure 5
(a) Funnel plot for publication bias. (b) Egger's plot for publication bias.

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