Cited by 32MicroRNA in disease regulationGlioma Diagnosis and TreatmentCancer-related molecular mechanisms research

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

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Zhang, Yanming, Chen, Jigang, Xue, Qiang, Wang, Junyu, Zhao, Liang, Han, Kaiwei, Zhang, Danfeng, Hou, Lijun·2019·BioMed Research International

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.

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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)

    Experimental — accuracy not yet measured

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Cited by

Sorted by citations

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
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
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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