Scholay

学术搜索 · AI 审稿 · LaTeX 协作

The diagnostic accuracy of exosomes for glioma: A meta-analysis

作者:Xiangmin Zhang, YanDi Tan, Xiaohui He, Jie Huang, Xiao Ni, Qian Hu, JinHua Cai · 发表于:Biomolecules and Biomedicine · 年份:2024 · DOI:10.17305/bb.2024.11268 · 被引用次数:7 · 研究领域:Extracellular vesicles in disease、Circular RNAs in diseases、MicroRNA in disease regulation

Glioma is one of the most prevalent primary intracranial tumors, and biomarker testing offers a non-invasive modality with high diagnostic efficiency. The aim of this meta-analysis is to evaluate the diagnostic effectiveness of exosomes as biomarkers for glioma. We included 16 studies on exosomes as biomarkers for gliomas. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) for 25 biomarkers across these 16 studies were as follows: 82% (95% CI: 0.77-0.86), 91% (95% CI: 0.86-0.94), 9.10 (95% CI: 5.64-14.68), 0.20 (95% CI: 0.16-0.25), 45.94 (95% CI: 25.40-83.09), and 0.92 (95% CI: 0.89-0.94), respectively. Meta-regression indicated that biomarker analysis, biomarker type, and sample size may be sources of heterogeneity. Subgroup analysis suggested that ultracentrifugation (UC) was a better method for extracting exosomes. miRNA and other RNA groups (sncRNA, lncRNA, circRNA) provided higher SEN (0.88 vs. 0.84 vs. 0.78) compared to proteins. This study demonstrates the superior diagnostic efficacy of exosomes as biomarkers for gliomas, with high accuracy in diagnosing gliomas.