Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Mar 26:2019:4015969.
doi: 10.1155/2019/4015969. eCollection 2019.

Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis

Affiliations
Meta-Analysis

Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis

Yanming Zhang et al. Biomed Res Int. .

Abstract

Purpose: Different microRNAs (miRs) have been demonstrated to relate with the outcome of glioma patients, while the conclusions are inconsistent. We perform a meta-analysis to clarify the relationship between different miRs and prognosis of glioma.

Methods: Related studies were retrieved from PubMed, Embase, and Cochrane Library. Pooled hazard ratios (HRs) of different miRs expression for survival and 95% confidence intervals (CIs) were calculated using random-effects model.

Results: A total of 15 miRs with 4708 glioma patients were ultimately included. Increased expression of miR-15b (HR, 1.584; 95% CI, 1.199-2.092), 21 (HR, 1.591; 95% CI, 1.278-1.981), 148a (HR, 1.122; 95% CI, 1.023-1.231), 196 (HR, 1.877; 95% CI, 1.033-3.411), 210 (HR, 1.251; 95% CI, 1.010-1.550), and 221 (HR, 1.269; 95% CI, 1.054-1.527) or decreased expression of miR-106a (HR, 0.809; 95% CI, 0.655-0.998) and 124 (HR, 0.833; 95% CI, 0.729-0.952) was correlated with poor outcome of glioma patients.

Conclusions: miR-15b, 21, 148a, 196, 210, 221, 106a, and 124 are valuable biomarkers for the prognosis of glioma which might be used in clinical settings.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Forest plots of miR-15b (a), 21 (b), 148a (c), 196 (d), 210 (e), and 221 (f) and glioma prognosis.
Figure 2
Figure 2
Forest plots of miR-106a (a) and 124 (b) and glioma prognosis.
Figure 3
Figure 3
Forest plots of miR-10b (a), 17 (b), 20a (c), 155 (d), 182 (e), 200b (f), and 222 (g) and glioma prognosis.

References

    1. Ferlay J., Shin H. R., Bray F., Forman D., Mathers C., Parkin D. M. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. International Journal of Cancer. 2010;127(12):2893–2917. doi: 10.1002/ijc.25516. - DOI - PubMed
    1. Verhaak R. G., Kapurdom H. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell. 2010;17(1):98–110. doi: 10.1016/j.ccr.2009.12.020. - DOI - PMC - PubMed
    1. Schwartzbaum J. A., Fisher J. L., Aldape K. D., Wrensch M. Epidemiology and molecular pathology of glioma. Nature Clinical Practice Neurology. 2006;2(9):494–503. doi: 10.1038/ncpneuro0289. - DOI - PubMed
    1. Fan Z., Wu Y., Shen J., Zhan R. Glutathione S-transferase M1, T1, and P1 polymorphisms and risk of glioma: A meta-analysis. Molecular Biology Reports. 2013;40(2):1641–1650. doi: 10.1007/s11033-012-2213-8. - DOI - PubMed
    1. Nie S., Chen T., Yang X., Huai P., Lu M. Association of Helicobacter pylori infection with esophageal adenocarcinoma and squamous cell carcinoma: A meta-analysis. Diseases of the Esophagus. 2014;27(7):645–653. doi: 10.1111/dote.12194. - DOI - PubMed

LinkOut - more resources