| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1913422 | Journal of the Neurological Sciences | 2015 | 7 Pages |
•Our meta-analysis aimed to assess the diagnostic role of miRNAs for glioma.•MiRNAs may serve as non-invasive biomarkers for glioma detection.•Panel of miRNAs assays yielded more accurate results.•This is the first meta-analysis to investigate this issue.
BackgroundGlioma is the most common and lethal primary brain tumors, and is regarded as one of the deadliest of human cancers. To date, a growing number of studies have tested the diagnostic accuracy of microRNAs (miRNAs) in glioma detection and altered levels of characteristic miRNAs have also been identified in glioma. However, there are some conflicting conclusions. Thus, we conducted this meta-analysis to evaluate the overall accuracy of miRNAs in the diagnosis of glioma.MethodsA comprehensive literature search was conducted using a combination of keywords. The random effect model was used to calculate the pooled diagnostic parameters. The summary receiver operator characteristic (SROC) curves were plotted to assess the overall diagnostic performance of miRNAs. Subgroup and sensitivity analyses were conducted to analyze the potential sources of heterogeneity.ResultsIn total, 28 studies from 11 articles covering 1729 patients and 1491 controls were available in this meta–analysis. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.87 (95% CI: 0.83–0.91), 0.87 (95% CI: 0.81–0.91), 6.6 (95% CI: 4.5–9.6), 0.15 (95% CI: 0.10–0.21), 45 (95% CI: 23–90), and 0.93 (95% CI: 0.91–0.95), respectively. Subgroup analysis demonstrated that panels of multiple miRNAs could largely improve the diagnostic accuracy. An independent meta-analysis of five included studies was conducted to evaluate the diagnostic efficacy of miR-21 in patients with glioma, with a pooled sensitivity of 0.82, specificity of 0.94, PLR of 13.2, NLR of 0.19, DOR of 69 and AUC of 0.95.ConclusionThis meta-analysis indicated the great potential of miRNAs, especially panels of multiple miRNAs, as promising biomarkers in glioma detection and monitoring. As one of the most representative miRNAs, we also found that a single miR-21 could be a powerful clinical biomarker in glioma diagnosis.
