Diagnostic Potential of Circulating miRNAs in Glioma: A Systematic Review and Meta-Analysis

Gliomas are intracranial tumors characterized by limited diagnostics and treatment approaches. Blood-circulating miRNAs represent a regulatory class of molecules that change their expression under pathological conditions and can relatively easily be detected. The present study evaluates the diagnostic potential of blood-circulating miRNAs in glioma. All grades of gliomas are included in the analysis. The articles were retrieved from the PubMed, Web of Science and Scopus databases up to October 2025. The studies were considered to be eligible if they used glioma patients and healthy controls and compared their miRNA levels, indicating sensitivity and specificity values. Risk of bias was assessed using the QUADAS-2 tool. The collected data was pooled by the STATA 19.0 MP bivariate random effects model and indicated heterogeneity using the I<sup>2</sup> statistic value. To identify possible reasons for heterogeneity, we utilized subgroup analysis and meta-regression. Publication bias was assessed with Deeks' funnel plot, and the test diagnostic potential was evaluated with Fagan's nomogram. We analyzed 31 original reports covering 2299 glioma patients and 1719 healthy controls. A meta-analysis on 59 data points extracted from the analyzed papers was conducted. The combined pooled sensitivity was found to be equal to 0.83 (95%CI: 0.80-0.86), the specificity 0.88 (95%CI: 0.85-0.90), the positive likelihood ratio 6.7 (95%CI: 5.4-8.5), the negative likelihood ratio 0.19 (95%CI: 0.16-0.23), and the diagnostic odds ratio 35 (95%CI: 25-50). An SROC analysis revealed an AUC equal to 0.92 (95%CI: 0.90-0.94). The reported diagnostic parameters imply that blood-circulating miRNAs hold the potential to be developed into diagnostic biomarkers for glioma identification. However, the high heterogeneity in the analyzed studies suggests that the results should be considered as exploratory only.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-09
DOI
https://doi.org/10.3390/ijms27041680
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic Potential of Circulating miRNAs in Glioma: A Systematic Review and Meta-Analysis

Rostislav Bukasov, Olena Filchakova, Alissa Loskutova, Aizere Khassenova et al.
International Journal of Molecular Sciences
MicroRNA in disease regulation
article

Diagnostic Potential of Circulating miRNAs in Glioma: A Systematic Review and Meta-Analysis

Rostislav Bukasov, Olena Filchakova, Alissa Loskutova, Aizere Khassenova, Zhamilya Seitkanova
article en

Abstract

Gliomas are intracranial tumors characterized by limited diagnostics and treatment approaches. Blood-circulating miRNAs represent a regulatory class of molecules that change their expression under pathological conditions and can relatively easily be detected. The present study evaluates the diagnostic potential of blood-circulating miRNAs in glioma. All grades of gliomas are included in the analysis. The articles were retrieved from the PubMed, Web of Science and Scopus databases up to October 2025. The studies were considered to be eligible if they used glioma patients and healthy controls and compared their miRNA levels, indicating sensitivity and specificity values. Risk of bias was assessed using the QUADAS-2 tool. The collected data was pooled by the STATA 19.0 MP bivariate random effects model and indicated heterogeneity using the I<sup>2</sup> statistic value. To identify possible reasons for heterogeneity, we utilized subgroup analysis and meta-regression. Publication bias was assessed with Deeks' funnel plot, and the test diagnostic potential was evaluated with Fagan's nomogram. We analyzed 31 original reports covering 2299 glioma patients and 1719 healthy controls. A meta-analysis on 59 data points extracted from the analyzed papers was conducted. The combined pooled sensitivity was found to be equal to 0.83 (95%CI: 0.80-0.86), the specificity 0.88 (95%CI: 0.85-0.90), the positive likelihood ratio 6.7 (95%CI: 5.4-8.5), the negative likelihood ratio 0.19 (95%CI: 0.16-0.23), and the diagnostic odds ratio 35 (95%CI: 25-50). An SROC analysis revealed an AUC equal to 0.92 (95%CI: 0.90-0.94). The reported diagnostic parameters imply that blood-circulating miRNAs hold the potential to be developed into diagnostic biomarkers for glioma identification. However, the high heterogeneity in the analyzed studies suggests that the results should be considered as exploratory only.

International Journal of Molecular SciencesVol. 27(4)
Nazarbayev University (KZ)
Good health and well-being
Openalex Percentile: Top 64%
MicroRNA in disease regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.