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Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis
Yanming Zhang1, Jigang Chen2, Qiang Xue2
1Second Sub-Team, Fourth Team, Undergraduate Management Team, Second Military Medical University, Shanghai, China.
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.
Insights
This meta-analysis identifies specific microRNAs (miRs) as valuable biomarkers for predicting glioma patient outcomes. Several miRs, including miR-15b and miR-21, are linked to poor prognosis, suggesting potential clinical applications.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- MicroRNAs (miRs) play crucial roles in cellular processes and have emerged as potential regulators of cancer development and progression.
- The prognostic significance of various miRs in glioma, the most common primary brain tumor, remains incompletely understood due to conflicting study results.
Purpose of the Study:
- To conduct a comprehensive meta-analysis to clarify the association between specific microRNA expression levels and the prognosis of glioma patients.
- To identify reliable microRNA biomarkers for predicting overall survival in glioma.
Main Methods:
- Systematic literature search of PubMed, Embase, and Cochrane Library databases for relevant studies.
- Meta-analysis of pooled hazard ratios (HRs) and 95% confidence intervals (CIs) using a random-effects model to assess the impact of microRNA expression on glioma survival.
Main Results:
- Fifteen microRNAs (miRs) and data from 4708 glioma patients were included in the final analysis.
- Increased expression of miR-15b, miR-21, miR-148a, miR-196, miR-210, and miR-221 was significantly correlated with poor glioma prognosis.
- Decreased expression of miR-106a and miR-124 was also associated with unfavorable outcomes in glioma patients.
Conclusions:
- Specific microRNAs, including miR-15b, miR-21, miR-148a, miR-196, miR-210, miR-221, miR-106a, and miR-124, are identified as significant prognostic biomarkers for glioma.
- These microRNAs hold potential for clinical application in predicting glioma patient outcomes and guiding treatment strategies.
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