The role of exosomal microRNAs in detecting hepatocellular carcinoma: A systematic review and meta-analysis.
Zhihua Zuo, Miyuan Yang, Xiushan Yin et al.
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In 30 seconds
This systematic review and meta-analysis evaluated the diagnostic performance of exosomal microRNAs (miRNAs) in detecting hepatocellular carcinoma (HCC) among 1442 HCC patients, 761 healthy controls, and 1091 chronic liver disease patients. The analysis revealed a pooled area under the curve (AUC) of 0.89, indicating strong diagnostic efficacy for exosomal miRNAs in HCC screening.
Key findings
- The pooled AUC for exosomal miRNAs in HCC diagnosis was 0.89 (95% CI: 0.86, 0.91).
- Sensitivity was 0.84 (95% CI: 0.80, 0.88) and specificity was 0.79 (95% CI: 0.71, 0.86).
- The positive likelihood ratio (PLR) was 4.1 (95% CI: 2.8, 5.9) and the negative likelihood ratio (NLR) was 0.20 (95% CI: 0.15, 0.27).
- The diagnostic odds ratio (DOR) was 21 (95% CI: 11, 37).
Why it matters
Exosomal microRNAs offer a non-invasive biomarker option for hepatocellular carcinoma, potentially improving early detection and screening strategies in at-risk populations, particularly those with viral hepatitis.