ABSTRACT

Background

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.

Methods

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.

Results

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.

Conclusions

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.

中文翻译：

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脑脊液和血清分离的细胞外囊泡对胶质母细胞瘤的诊断准确性：系统评价和荟萃分析

摘要

背景

胶质母细胞瘤 (GBM) 是恶性程度最高的脑癌，因为没有可用的无活检方法进行诊断或术前早期检测。在这方面，开发用于早期检测的无创或微创方法可以提高 GBM 患者的存活率。

方法

本研究旨在评估从患者脑脊液或血清中分离出的细胞外囊泡 (EV) 衍生 RNA 的诊断准确性，用于 GBM 诊断。为此，我们搜索了所有文献数据库，并进行了前后参考检查程序以检索适当的研究。我们对电动汽车衍生的生物标志物进行了荟萃分析以及敏感性分析和荟萃回归。

结果

我们鉴定了 EV 衍生的 24 个 RNA，它们可以诊断 GBM。分析的汇总数据显示，16 种生物标志物的敏感性为 76%，特异性为 80%，AUC 为 0.85。此外，合并的 PLR、NLR 和 DOR 分别为 3.7、0.30 和 12。亚组分析未显示血清和脑脊液之间存在显着差异。

结论

根据 EV 衍生生物标志物的汇总敏感性、特异性和 AUC，我们建议 EV 衍生生物标志物可以作为使用血清和脑脊液样本检测 GBM 的高潜力和无创诊断工具。