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Meta-Analysis
. 2017 Jul 25;12(7):e0180173.
doi: 10.1371/journal.pone.0180173. eCollection 2017.

Prognostic significance of microRNA-101 in solid tumor: A meta-analysis

Xianxiong Ma  1 , Jie Bai  1 , Gengchen Xie  1 , Yulin Liu  1 , Xiaoming Shuai  1 , Kaixiong Tao  1
Affiliations
Meta-Analysis

Prognostic significance of microRNA-101 in solid tumor: A meta-analysis

Xianxiong Ma et al. PLoS One. .

Abstract

MicroRNA-101 has been reported as an important factor in carcinogenesis of several malignant tumors. However, its actual role in prognosis among solid malignancies remains unclear. Accordingly, we performed this meta-analysis aiming to identify prognostic significance of miR-101 in solid tumor. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) or disease-free survival (DFS)/metastasis-free survival (MFS)/progression-free survival (PFS)/relapse-free survival (RFS)/time-to progression (TTP) were estimated with random effects or fixed effects models on the basis of heterogeneity. Subgroup analysis, sensitive analysis and meta-regression analysis were also conducted to clarify the possible confounding factors and investigate the source of heterogeneity. Publication bias was evaluated by using Begg's and Egger's tests. A total of 21 studies containing 3753 cases were selected into our quantitative analysis via electronic database search. A lower expression of miR-101 was significantly associated with worse OS (HR = 0.66, 95%CI [0.52-0.85], P = 0.001) and PFS (HR = 0.70, 95%CI [0.51-0.95], P = 0.023) in patients with solid tumor. The under-expression of miRNA-101 is a credible indicator of poorer prognosis in several of solid malignancies.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Flow diagram shows search strategy.
Fig 2
Fig 2. Forest plot of the relationship between miR-101 and OS in solid tumor.
Fig 3
Fig 3. Forest plot of the relationship between miR-101 and DFS/PFS/RFS/MFS/TTP in solid tumor.
Fig 4
Fig 4. Sensitivity analysis of the evaluation on the relationship between miR-101 and OS.
Fig 5
Fig 5. Sensitivity analysis of the evaluation on the relationship between miR-101 and DFS/PFS/RFS/MFS/TTP.
Fig 6
Fig 6. Funnel plots to evaluate publication bias of included studies for OS.
Fig 7
Fig 7. Funnel plots to evaluate publication bias of included studies for DFS/PFS/RFS/MFS/TTP.
See this image and copyright information in PMC

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