Transcriptomic Signature of 3D Hierarchical Porous Chip Enriched Exosomes for Early Detection and Progression Monitoring of Hepatocellular Carcinoma

Transcriptomic Signature of 3D Hierarchical Porous Chip Enriched Exosomes for Early Detection and Progression Monitoring of Hepatocellular Carcinoma

2024 | Kezhen Yi, Yike Wang, Yuan Rong, Yiru Bao, Yingxue Liang, Yiyi Chen, Fusheng Liu, Shikun Zhang, Yuan He, Weihuang Liu, Chengliang Zhu, Long Wu, Jin Peng, Hao Chen, Weihua Huang, Yufeng Yuan, Min Xie, and Fubing Wang
This study presents a novel approach for the early detection and monitoring of hepatocellular carcinoma (HCC) using exosomes enriched by a silicon dioxide (SiO₂) microsphere-coated 3D hierarchical porous chip. The SiO₂-chip, designed to enhance exosome capture efficiency, was validated for its ability to enrich exosomes from plasma samples. RNA sequencing of exosomes enriched by the SiO₂-chip identified two long non-coding RNAs (lncRNAs), LUCAT-1 and EGFR-AS-1, which are associated with HCC progression. These lncRNAs were further validated using quantitative real-time polymerase chain reaction (qRT-PCR). The combination of these lncRNAs with existing biomarkers such as alpha-fetoprotein (AFP) and des-γ-carboxy-prothrombin (DCP) significantly improved diagnostic accuracy and prognosis prediction in HCC patients. The study demonstrates the potential of this liquid biopsy-based approach for non-invasive HCC detection and monitoring, offering a promising tool for early diagnosis and management of HCC.This study presents a novel approach for the early detection and monitoring of hepatocellular carcinoma (HCC) using exosomes enriched by a silicon dioxide (SiO₂) microsphere-coated 3D hierarchical porous chip. The SiO₂-chip, designed to enhance exosome capture efficiency, was validated for its ability to enrich exosomes from plasma samples. RNA sequencing of exosomes enriched by the SiO₂-chip identified two long non-coding RNAs (lncRNAs), LUCAT-1 and EGFR-AS-1, which are associated with HCC progression. These lncRNAs were further validated using quantitative real-time polymerase chain reaction (qRT-PCR). The combination of these lncRNAs with existing biomarkers such as alpha-fetoprotein (AFP) and des-γ-carboxy-prothrombin (DCP) significantly improved diagnostic accuracy and prognosis prediction in HCC patients. The study demonstrates the potential of this liquid biopsy-based approach for non-invasive HCC detection and monitoring, offering a promising tool for early diagnosis and management of HCC.
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