Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis
Open accessAbstract
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.
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A meta-analysis of nine studies revealed that high miR-21 expression is associated with a poor prognosis in glioma patients.
“A meta-analysis of nine studies revealed that high miR-21 expression is associated with a poor prognosis in glioma patients [34], [35].”
From miR-21 as a diagnostic and prognostic biomarker in glioma: tissue and serum expression analysis in a Pakistani cohort (2026) · cites this paper as [34]
Results §3.4 reports that higher miR-21 expression significantly predicted poor prognosis in glioma patients. It says six studies examined miR-21, not nine. (LLM, conf=0.92)
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MicroRNAs in the p53 network: micromanagement of tumour suppression
Hermeking, H. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3318 · Cited by 518 · see citing works
MicroRNA-21 expression is associated with overall survival in patients with glioma
Wu, L., Li, G., Feng, D., Qin, H., Gong, L., Zhang, J., & Zhang, Z. (2013) · Diagnostic Pathology · doi:10.1186/1746-1596-8-200 · Cited by 53 · see citing works
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Cited by
Sorted by citations
Laghari, A. A., Sufiyan, S., Amin, W., Ilyas, S., Naeem, S., Adnan, U., Abidi, S. H., Uddin, S., Enam, S. A., & Mughal, N. (2026) · Journal of Neuro-Oncology · doi:10.1007/s11060-025-05287-4 · Cited by 1 · see citing works
- Authors
- Zhang, Y., Chen, J., Xue, Q., Wang, J., Zhao, L., Han, K., Zhang, D., & Hou, L.
- Affiliations
- Second Military Medical University (CN)
- Corresponding author
- Zhao, Liang
- Han, Kaiwei
- Zhang, Danfeng
- Hou, Lijun
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2019-03-26
- Volume
- 2019
- Pages
- 1-14
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- PMC
- PMC6457304
- OpenAlex
- W2925231458
- Cited by
- 32
- References
- 2
- Citations by year
- 2025: 1 · 2024: 11 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 11 · 2019: 2
- FWCI
- 0.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BioMed Research International (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- microRNA, glioma, prognosis, prognostic factors, miR-15b, miR-21, miR-148a, miR-196, miR-210, miR-221, miR-106a, miR-124, survival, microRNA expression
- MeSH terms
- Glioma, Humans, Prognosis, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Survival Analysis, Disease-Free Survival, MicroRNAs
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