Skip to main navigation Skip to main content

Clin Mol Hepatol : Clinical and Molecular Hepatology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
FOR CONTRIBUTORS

Page Path

2
results for

"Kai Wang"

Article category

Keywords

Publication year

"Kai Wang"

Original Articles
Pre-operative risk assessment of hepatocellular carcinoma recurrence in liver transplant recipients by non-invasive detection of pre-existing genetic lesions
Suqin Yang, Sunbin Ling, Jianhua Li, Yan Wang, Jiapei Wang, Qiwei Huang, Fanming Liu, Yiqi Zhuang, Yingyu Zheng, Rui Wang, Zhe Yang, Xiaoping Zheng, Kai Wang, Zhikun Liu, Jun Chen, Jianguo Wang, Haiyang Xie, Lin Zhou, Leiming Chen, Guoqiang Cao, Dandan Chen, Junfang Ji, Bin Zhao, Chao Jiang, Di Lu, Xuyong Wei, Hangjin Jiang, Qiaonan Shan, Hengbo Shi, Yong-Zhen Xu, Shusen Zheng, Zhengxin Wang, Shengda Lin, Xiao Xu
Clin Mol Hepatol 2026;32(2):884-903.
Published online February 11, 2026
DOI: https://doi.org/10.3350/cmh.2025.1069
Background/Aims
Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy.
Methods
We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues.
Results
We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts.
Conclusion
Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.
  • 3,862 View
  • 243 Download
Acetyl-coenzyme A synthetase 2-mediated acetyl-coenzyme A accumulation promotes mitophagy and tumor growth via increased H3K27ac in hepatitis B virus-related hepatocellular carcinoma
Shan Li, Jie Hu, Yihan Yan, Xinrui Liu, Xiao Dong, Huijun Liang, Xin Tang, Junji Tao, Rong Zhang, Yuan Hu, Ailong Huang, Kai Wang, Ni Tang
Clin Mol Hepatol 2026;32(2):661-682.
Published online December 19, 2025
DOI: https://doi.org/10.3350/cmh.2025.0754
Background/Aims
Acetyl coenzyme A (acetyl-CoA) is one of the most essential metabolites in cell metabolism but its function and concentration in hepatocellular carcinoma (HCC) remain elusive and controversial.
Methods
A comprehensive analysis of acetyl-CoA levels and acetyl-CoA synthetase 2 (ACSS2) expression across a range of samples, including patient specimens from both hepatitis B virus (HBV) positive and HBV negative HCC individuals, HBV-transgenic mouse HCC models, and multiple cell lines. Furthermore, to evaluate the functional significance of ACSS2 in HBV-related HCC, we implemented both genetic and pharmacological inhibition strategies targeting ACSS2. Molecular mechanism and mitophagy assessment were revealed by cleavage under target and tagmentation sequencing, RNA sequencing, bioinformatic analyses, transmission electron microscopy and JC-1 staining.
Results
Our study revealed a distinct metabolic signature of HBV-related HCC, marked by elevated acetyl-CoA, which was driven by ACSS2. ACSS2 was upregulated by the carbohydrate response element-binding protein in HBV-related HCC. Furthermore, ACSS2 improved tumor cell proliferation, an effect that was dependent on its enzymatic activity. Mechanistically, ACSS2-induced acetyl-CoA accumulation activated voltage-dependent anion channels 1 transcription through increased H3K27ac occupancy, which subsequently promoted mitophagy and HBV-related HCC tumorigenesis. Notably, targeting ACSS2 by depletion or inhibition with a catalytic inhibitor significantly suppressed tumor growth.
Conclusions
These findings not only illustrate the interplay between metabolic reprogramming, epigenetic modification, and tumorigenesis in the context of HBV infection, but also highlight ACSS2 as a novel metabolic vulnerability in HBV-related HCC. Therefore, targeting ACSS2 could be a novel strategy against HBV-related HCC.

Citations

Citations to this article as recorded by  Crossref logo
  • From metabolites to chromatin: ACSS2-driven acetyl-CoA fuels H3K27ac chromatin remodeling in HBV-associated HCC: Editorial on “Acetyl-coenzyme A synthetase 2-mediated acetyl-coenzyme A accumulation promotes mitophagy and tumor growth via increased H3K27ac
    Hyeong-Jin Cho, Sung-Gyoo Park
    Clinical and Molecular Hepatology.2026; 32(3): 1444.     CrossRef
  • Metabolic Reprogramming at the Tumor–Immune Interface in Hepatocellular Carcinoma
    Weiming Zhao, Ping Li
    Cells.2026; 15(15): 1357.     CrossRef
  • Crosstalk between mitophagy and metabolism in cancer: Mechanisms and therapeutic opportunities
    Jingyi Cheng, Ting Xiao, Zhangui Tang, Yuhan Chen
    Free Radical Biology and Medicine.2026; 255: 573.     CrossRef
  • Metabolic-epigenetic regulation of the HBV cccDNA reservoir: pathways underpinning viral persistence
    Qing Peng, Liyuan Hao, Shenghao Li, Fei Yu, Na Li, Fanghang Ye, Xiaoyu Hu
    Frontiers in Microbiology.2026;[Epub]     CrossRef
  • 6,595 View
  • 574 Download
  • 3 Web of Science
  • Crossref