Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma
AERS provides a novel tool for clinical prognosis and paves the way for immune-targeted therapeutic approaches, underscoring the potential of integrated molecular profiling in enhancing treatment strategies for HCC.
Authors
- Xingte Chen
- Huipeng Fang
- Qizhen Huang (ORCID: https://orcid.org/0000-0001-6689-9264)
- Qiao Ke (ORCID: https://orcid.org/0000-0001-9406-8572)
- Shiji Wu
- Lei Wang (ORCID: https://orcid.org/0009-0003-2830-2430)
- Yaqi Zhong
- Kun Zhang (ORCID: https://orcid.org/0000-0002-1088-5813)
Institutions
- Fujian Medical University (CN)
- Jiangxi Provincial Cancer Hospital (CN)
- Zhejiang Cancer Hospital (CN)
- Mengchao Hepatobiliary Hospital (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Fujian Provincial Cancer Hospital (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fimmu.2024.1446961
- Citations
- 5
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- Natural Science Foundation of Fujian Province