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A Systematic Review of Extracellular Vesicles As Non-Invasive Biomarkers in Glioma Diagnosis, Prognosis, and Treatment Response Monitoring Publisher Pubmed



Sourani A1 ; Saghaei S1 ; Sabouri M1 ; Soleimani M2 ; Dehghani L3
Authors
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Authors Affiliations
  1. 1. Department of Neurosurgery, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  3. 3. Neurosciences Research Center, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Molecular Biology Reports Published:2021


Abstract

Abstract: The present systematic review was done to investigate the possible application of Extracellular vesicles (EVs) in the diagnosis, prognosis, and treatment response monitoring of gliomas using available literature to wrap up the final applicable conclusion in this regard. we searched PubMed/MEDLINE, Scopus, and ISI Web of Science databases. Authors evaluated the quality of the included studies by the QUADAS-2 tool. In total, 2037 published datasets were retrieved through systematic search. Upon screening for eligibility, 35 datasets were determined as eligible. Exosome was the EV-subtype described in the majority of studies, and most datasets used serum as the primary EVs isolation source. EVs isolation was primarily conducted by ultracentrifugation. 31 datasets reported that EVs hold considerable potential for being used in diagnostics, with the majority reporting different types of miRNAs as biomarkers. Besides, 8 datasets reported that EVs could be a potential source of prognostic biomarkers. And finally, 3 datasets reported that EVs might be a reliable strategy for monitoring therapy response in glioma patients. According to the findings of the current systematic review, it seems that miR-301, miR-21, and HOTAIR had the highest diagnostic accuracy. However, heterogeneous and limited evidence regarding prognosis and treatment response monitoring precludes us from drawing a practical conclusion regarding EVs. Graphic abstract: [Figure not available: see fulltext.]. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
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