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New Strategy on Diagnosis and Treatment of Meningioma and Glioma

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".

Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 899

Special Issue Editor

Special Issue Information

Dear Colleagues,

Meningiomas and gliomas represent the most prevalent primary tumors of the central nervous system, encompassing a wide clinical and biological spectrum. Recent advances in molecular biology, neuroimaging, and personalized medicine have led to novel diagnostic and therapeutic strategies that are currently reshaping clinical management. This Special Issue aims to highlight cutting-edge research in the molecular characterization, biomarker discovery, and targeted treatment approaches for both meningioma and glioma. We welcome original research articles, reviews, and clinical studies that explore innovative imaging modalities, molecular profiling techniques, experimental therapies, and translational insights that may improve diagnosis, prognostication, and treatment outcomes. Contributions addressing challenges in recurrent or high-grade cases, resistance mechanisms, and the integration of artificial intelligence are particularly encouraged. This Special Issue aspires to provide a comprehensive overview of current progress and future directions in the evolving landscape of meningioma and glioma care.

Dr. Giuseppe Lombardi
Guest Editor

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Keywords

  • meningiomas
  • gliomas
  • molecular characterization
  • biomarker discovery
  • targeted therapy
  • neuroimaging
  • artificial intelligence

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Published Papers (1 paper)

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Review

22 pages, 4067 KB  
Review
Diagnostic Potential of Circulating miRNAs in Glioma: A Systematic Review and Meta-Analysis
by Aizere Khassenova, Zhamilya Seitkanova, Alissa Loskutova, Rostislav Bukasov and Olena Filchakova
Int. J. Mol. Sci. 2026, 27(4), 1680; https://doi.org/10.3390/ijms27041680 - 9 Feb 2026
Viewed by 672
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 [...] Read more.
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 I2 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. Full article
(This article belongs to the Special Issue New Strategy on Diagnosis and Treatment of Meningioma and Glioma)
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