한빛사논문
Jiwon Hong 1,2*, Jung Woo Eun 3*, Geum Ok Baek 3, Jae Youn Cheong 3, Seryoung Park 1, Soon Sun Kim 3, Hyo Jung Cho 3, Su Bin Lim 1,2
1Department of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.
2Department of Biomedical Sciences, Graduate School of Ajou University, Suwon 16499, Korea.
3Department of Gastroenterology, Ajou University School of Medicine, Suwon 16499, South Korea.
*These authors contributed equally to the manuscript as first authors.
Corresponding author : Hyo Jung Cho, Su Bin Lim
Abstract
Background/Aims
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide. Despite identification of several biomarkers for HCC diagnosis, challenges such as low sensitivity and intratumoral heterogeneity have impeded early detection, highlighting the need for etiology-specific blood biomarkers.
Methods
We generated whole-transcriptome sequencing (WTS) and targeted proteome data from buffy coat and plasma samples from HCC patients. By integrating etiological information on viral infection, we investigated the etiology-specific gene expression landscape at the blood level. Validation of differentially expressed genes (DEGs) was performed using publicly available RNA-seq datasets and qRT‒PCR with AUC analyses.
Results
Differential expression analyses with multiomics data revealed distinct gene expression profiles between HBV-associated HCC and nonviral HCC, indicating the presence of etiology-specific blood biomarkers. The identified DEGs were validated across multiple independent datasets, underscoring their utility as biomarkers. Additionally, single-cell RNA-seq analysis of HCC confirmed differences in DEG expression across distinct immune cell types.
Conclusions
Our buffy coat WTS data and plasma proteome data may serve as reliable sources for identifying etiology-specific blood biomarkers of HCC and might contribute to discovery of therapeutic targets for HCC across different etiologies.
논문정보
관련 링크
관련분야 연구자보기
소속기관 논문보기
관련분야 논문보기