Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma
IRGI can be used as a valuable biomarker to predict LUAD patient prognosis and response to ICIs. IRGs play a crucial role in shaping the diversity and complexity of TME cell infiltration, which may provide valuable guidance for ICI treatment decisions for LUAD patients.
Authors
- Yu Wang (ORCID: https://orcid.org/0000-0001-5107-8770)
- Chun‐Dong Zhang (ORCID: https://orcid.org/0000-0003-1804-1356)
- Nan Bi (ORCID: https://orcid.org/0000-0001-7201-2930)
- Yitong Li (ORCID: https://orcid.org/0000-0003-3402-4484)
- Minghao Wang (ORCID: https://orcid.org/0000-0003-1705-0891)
- Cong Li (ORCID: https://orcid.org/0009-0000-9658-5717)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- First Hospital of China Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3389/fbinf.2025.1613761
- Citations
- 2
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 3.04