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

XiangMin Zhang; YanDi Tan; XiaoYa He; Jie Huang; XiaoYing Ni; Qian Hu; JinHua Cai

doi:10.17305/bb.2024.11268

Authors

XiangMin Zhang Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China
YanDi Tan Department of Ultrasound, the Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
XiaoYa He Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China
Jie Huang Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China
XiaoYing Ni Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China
Qian Hu Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China
JinHua Cai Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China https://orcid.org/0000-0002-6000-9993

DOI:

https://doi.org/10.17305/bb.2024.11268

Keywords:

Biomarkers, diagnosis, exosomes, meta, glioma

Abstract

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.