Transcriptomic Signature of 3D Hierarchical Porous Chip Enriched Exosomes for Early Detection and Progression Monitoring of Hepatocellular Carcinoma.
Kezhen YiYike WangYuan RongYiru BaoYingxue LiangYiyi ChenFusheng LiuShikun ZhangYuan HeWeihuang LiuChengliang ZhuLong WuJin PengHao ChenWeihua HuangYufeng YuanMin XieFu-Bing WangPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Hepatocellular carcinoma (HCC) is a highly lethal malignant tumor, and the current non-invasive diagnosis method based on serum markers, such as α-fetoprotein (AFP), and des-γ-carboxy-prothrombin (DCP), has limited efficacy in detecting it. Therefore, there is a critical need to develop novel biomarkers for HCC. Recent studies have highlighted the potential of exosomes as biomarkers. To enhance exosome enrichment, a silicon dioxide (SiO 2 ) microsphere-coated three-dimensional (3D) hierarchical porous chip, named a SiO 2 -chip is designed. The features of the chip, including its continuous porous 3D scaffold, large surface area, and nanopores between the SiO 2 microspheres, synergistically improved the exosome capture efficiency. Exosomes from both non-HCC and HCC subjects are enriched using an SiO 2 -chip and performed RNA sequencing to identify HCC-related long non-coding RNAs (lncRNAs) in the exosomes. This study analysis reveales that LUCAT-1 and EGFR-AS-1 are two HCC-related lncRNAs. To further detect dual lncRNAs in exosomes, quantitative real time polymerase chain reaction (qRT-PCR) is employed. The integration of dual lncRNAs with AFP and DCP significantly improves the diagnostic accuracy. Furthermore, the integration of dual lncRNAs with DCP effectively monitors the prognosis of patients with HCC and detects disease progression. In this study, a liquid biopsy-based approach for noninvasive and reliable HCC detection is developed.
Keyphrases
- mesenchymal stem cells
- high throughput
- stem cells
- circulating tumor cells
- long non coding rna
- small cell lung cancer
- network analysis
- single cell
- genome wide analysis
- genome wide identification
- tyrosine kinase
- metal organic framework
- magnetic nanoparticles
- tissue engineering
- high resolution
- rna seq
- quantum dots
- ionic liquid
- real time pcr
- sensitive detection