Diagnostic accuracy of cerebrospinal fluid and serum-isolated extracellular vesicles for glioblastoma: a systematic review and meta-analysis
Autor: | Elmnaz Rezaei, Farzaneh Jokar Shoorijeh, Yousef Moradi, Davod Jafari, Mahmood Barati, Rasool Jafari, Amir Tiyuri |
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Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Pathology medicine.medical_specialty Early detection Diagnostic accuracy Sensitivity and Specificity Extracellular vesicles Pathology and Forensic Medicine Brain cancer Extracellular Vesicles 03 medical and health sciences 0302 clinical medicine Cerebrospinal fluid Biomarkers Tumor Genetics Humans Medicine Molecular Biology Early Detection of Cancer business.industry Liquid Biopsy Reproducibility of Results medicine.disease Microvesicles nervous system diseases 030104 developmental biology 030220 oncology & carcinogenesis Meta-analysis Molecular Medicine Glioblastoma business |
Zdroj: | Expert Review of Molecular Diagnostics. 20:1075-1085 |
ISSN: | 1744-8352 1473-7159 |
Popis: | Glioblastoma (GBM) is the most malignant brain cancer because there are no available biopsy-free methods for the diagnosis or the preoperative early detection. In this regard, the development of a non- or minimally invasive methods for early detection could increase the survival rate of GBM patients. The present study aimed to assess the diagnostic accuracy of extracellular vesicles (EVs) derived RNAs, isolated from patients’ CSF or serum for GBM diagnosis. For this purpose, we searched all literature databases and performed a backward and forward reference checking procedure to retrieve appropriate studies. We conducted a meta-analysis on EVs derived biomarkers as well as sensitivity analysis and meta-regression. We identified EVs-derived 24 RNAs, which can diagnose GBM. The analyzed pooled data showed 76% sensitivity, 80% specificity, and 0.85 AUC, for 16 biomarkers. Besides, the pooled PLR, NLR, and DOR were 3.7, 0.30, and 12, respectively. Subgroup analysis did not show a significant difference between serum and CSF. According to the pooled sensitivity, specificity, and AUC for EVs derived biomarkers, we suggest that EVs-derived biomarkers might serve as a high potential and noninvasive diagnostic tool for GBM detection using serum and CSF samples. |
Databáze: | OpenAIRE |
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