Machine Learning Diagnostic Model for Hepatocellular Carcinoma Based on Liquid–Liquid Phase Separation and Ferroptosis-Related Genes
The diagnostic model with 5 hub genes (EZH2, HSPB1, NRAS, RPL8, and SUV39H1) emerges as a potential innovative tool for the diagnosis of HCC. NRAS promotes the carcinogenesis of HCC cells and inhibits ferroptosis.
Authors
- Xiaofan Pu
- Suihan Wang
- Linlin Zhao (ORCID: https://orcid.org/0000-0002-6624-0248)
- Ting Zhu (ORCID: https://orcid.org/0000-0003-1401-2128)
- Xin Zhong (ORCID: https://orcid.org/0000-0002-6840-1922)
- Wenchao Chen (ORCID: https://orcid.org/0000-0001-7613-1734)
- Tianyu Lin (ORCID: https://orcid.org/0009-0003-8656-5095)
- Senhao Zhou
Institutions
- Sir Run Run Shaw Hospital (CN)
- Shaoxing People's Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- The Turkish Journal of Gastroenterology
- Published
- 2024-10-14
- DOI
- https://doi.org/10.5152/tjg.2024.24101
- Citations
- 3
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.26