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ORIGINAL RESEARCH article

Front. Mol. Biosci.
Sec. Molecular Diagnostics and Therapeutics
Volume 11 - 2024 | doi: 10.3389/fmolb.2024.1419093

Diagnostic Model for Hepatocellular Carcinoma Using Small Extracellular Vesicle-Propagated MiRNA Signatures Provisionally Accepted

Xinyi Luo1 Lin Jiao1 Qin Guo2 Yi Chen1 Nian Wang1 Yang Wen1 Jiajia Song1 Hao Chen1  Juan Zhou1  Xingbo Song1*
  • 1Department of Laboratory Medicine, West China Hospital, Sichuan University, China
  • 2The First People’s Hospital Ziyang, China

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Background: Hepatocellular carcinoma (HCC) is the most common type of liver cancer.Small extracellular vesicles (sEVs) are bilayer lipid membrane vesicles containing RNA that exhibit promising diagnostic and prognostic potential as cancer biomarkers.Aims: To establish a miRNA panel from peripheral blood for use as a noninvasive biomarker for the diagnosis of HCC.Methods: sEVs obtained from plasma were profiled using high-throughput sequencing.The identified differential miRNA expression patterns were subsequently validated using quantitative real-time polymerase chain reaction analysis.The random forest method identified ten distinct miRNAs distinguishing HCC plasma from non-HCC plasma. During validation, miR-140-3p (p=0.0001) and miR-3200-3p (p=0.0017) exhibited significant downregulation. Enrichment analysis uncovered a notable correlation between the target genes of these miRNAs and cancer development. Utilizing logistic regression, we developed a diagnostic model incorporating these validated miRNAs. Receiver operating characteristic (ROC) curve analysis revealed an area under the curve (AUC) of 0.951, with a sensitivity of 90.1% and specificity of 87.8%.Conclusions: These aberrantly expressed miRNAs delivered by sEVs potentially contribute to HCC pathology and may serve as diagnostic biomarkers for HCC.1.

Keywords: Small extracellular vesicle, microRNA, biomarker, Hepatocellular Carcinoma, Cancer

Received: 22 Apr 2024; Accepted: 23 May 2024.

Copyright: © 2024 Luo, Jiao, Guo, Chen, Wang, Wen, Song, Chen, Zhou and Song. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Xingbo Song, Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China