A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression
Our study has developed a novel MRLI as a predictive marker for prognosis and therapeutic outcomes in patients with HCC. These findings indicate that lactylation promotes malignant cell phenotypes and immune microenvironment remodeling partially through metabolic regulation, suggesting it as a potential clinical therapeutic target.
Authors
- Xiwen Zhao (ORCID: https://orcid.org/0000-0001-5678-8843)
- Liwen Liu (ORCID: https://orcid.org/0000-0002-6632-8290)
- Yun Wang
- Ranran Sun
- Dongdong Song
- Yihang Song
- Zishuo Wang
- Danyang Li
- Zujiang Yu
- Xianbin Li
Institutions
- Zhengzhou University (CN)
- Henan Cancer Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2026-02-10
- DOI
- https://doi.org/10.1186/s12935-026-04203-8
- Primary Topic
- Cancer, Hypoxia, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00