Exercise-related immune gene signature for hepatocellular carcinoma: machine learning and multi-omics analysis
We identified key EIGs and constructed an EIGPS that can effectively predict the prognosis of HCC, which offers avenues for better personalized treatments.
Authors
- LI Jian-yue
- Pu Cheng (ORCID: https://orcid.org/0000-0001-6358-5219)
- Xiaoyan Zhang (ORCID: https://orcid.org/0000-0002-9664-1560)
- Qian He (ORCID: https://orcid.org/0000-0002-8230-0941)
- Jiacheng Zhou (ORCID: https://orcid.org/0009-0004-6192-9988)
- Pu Lei (ORCID: https://orcid.org/0009-0001-8240-4011)
Institutions
- Shanghai University of Sport (CN)
- Integrated Chinese Medicine (China) (HK)
- Anyang Hospital of Traditional Chinese Medicine (CN)
- East China Normal University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-06-20
- DOI
- https://doi.org/10.3389/fimmu.2025.1606711
- Citations
- 1
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.52