1. Five miRNAs identified in fucosylated extracellular vesicles as non-invasive diagnostic signatures for hepatocellular carcinoma
- Author
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Boan Li, Kun Hao, Mengyang Li, Ailan Wang, Huixue Tang, Lida Xu, Cuidie Ma, Wenqian Du, Lijuan Sun, Xufeng Hou, Tianye Jia, Aixia Liu, Qi Gao, Zhiming Zhao, Ronghua Jin, and Ruifu Yang
- Subjects
GlyExo-Capture method ,extracellular vesicles ,fucosylated protein ,diagnosis ,miRNA ,hepatocellular carcinoma ,Medicine (General) ,R5-920 - Abstract
Summary: Hepatocellular carcinoma (HCC) is a prevalent and aggressive cancer that presents significant challenges for early detection. This study introduces the GlyExo-Capture method for isolating fucosylated extracellular vesicles (Fu-EVs) from serum. We analyze microRNA (miRNA) profiles from Fu-EVs in 88 HCC patients and 179 non-HCC controls using next-generation sequencing (NGS) and identify five miRNAs (hsa-let-7a, hsa-miR-21, hsa-miR-125a, hsa-miR-200a, and hsa-miR-150) as biomarkers for HCC diagnosis. The five-miRNA panel demonstrates exceptional HCC diagnostic performance, with a sensitivity of 0.90 and specificity of 0.92 in a combined cohort of 194 HCC and 412 non-HCC controls, significantly surpassing the performance of alpha-fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP). Notably, the miRNA model achieves recall rates of 85.7% and 90.8% for stage 0 and stage A early-stage HCC, respectively, identifies 88.1% of AFP-negative HCC cases, and effectively differentiates HCC from other cancers. This study provides a high-throughput, rapid, and non-invasive approach for early HCC detection.
- Published
- 2024
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