The role of exosomal microRNAs in detecting hepatocellular carcinoma: A systematic review and meta-analysis.

Clin Chim ActaJun 4, 2026 (epub)

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.

Source

Published in Clin Chim Acta. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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