4.5 Article

Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis

Journal

ONCOTARGETS AND THERAPY
Volume 10, Issue -, Pages 493-502

Publisher

DOVE MEDICAL PRESS LTD
DOI: 10.2147/OTT.S122774

Keywords

microRNA-100; prognosis; meta-analysis

Funding

  1. Youth Science Found of Qilu Hospital of Shandong University
  2. Science and Technology plan project of Shandong province [2012GSF11852]
  3. National Natural Science Foundation of China [81572958]

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Objective: The aim of this study was to identify prognostic significance of microRNA-100 (miR-100) in solid tumor. Methods: Literature search was conducted in databases such as PubMed, Embase, and Web of Science, using the following words (microRNA-100 OR miR-100 OR mir100) AND (tumor OR neoplasm OR cancer OR carcinoma OR malignancy). The search was updated up until July 10, 2016. Newcastle-Ottawa scale was used to evaluate the quality of studies. Pooled hazard ratio (HR) with 95% confidence interval (CI) for patients' survival was calculated by using a fixed-effects or a random-effects model on the basis of heterogeneity. Subgroup analysis, sensitive analysis, and meta-regression were used to investigate the sources of heterogeneity. Publication bias was evaluated by using Begg's and Egger's tests. Results: A total of 16 articles with 1,501 patients were included in the present meta-analysis. It was demonstrated that a lower expression of miR-100 plays a negative role in the overall survival (OS) of patients with solid tumor (HR = 1.92; 95% CI = 1.25-2.94). In addition, the association between miR-100 and prognosis was also revealed in the following subgroups: non-small-cell lung cancer (NSCLC; HR = 2.46; 95% CI = 1.98-3.06), epithelial ovarian cancer (EOC; HR = 2.29, 95% CI = 1.72-3.04), and bladder cancer (BC; HR = 4.14, 95% CI = 1.85-9.27). Conclusion: This meta-analysis indicates that lower expression of miR-100 is related to poorer OS in patients with solid tumor, especially in those with NSCLC, EOC, and BC. MiR-100 is a promising prognosis predictor and may be a potential target for therapy in the future.

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