Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning
This study delineates key malignant programs in EGFR-mutant epithelial cells at the single-cell level and proposes a robust prognostic scoring system, EGFRmERS, with strong predictive power for survival and immunotherapy benefit. PERP was identified as a potential therapeutic target, offering novel insights for precision stratification and treatment in EGFR-mutant LUAD.
Authors
- Weiran Zhang (ORCID: https://orcid.org/0000-0003-3292-6388)
- Han Zhang (ORCID: https://orcid.org/0000-0002-3165-0490)
- Lin Tan (ORCID: https://orcid.org/0000-0001-5096-0497)
- Daqiang Sun (ORCID: https://orcid.org/0000-0003-1228-9916)
- Qiuqiao Mu
Institutions
- Qingdao University (CN)
- Tianjin University (CN)
- Qingdao Municipal Hospital (CN)
- Tianjin Chest Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-10-14
- DOI
- https://doi.org/10.3389/fimmu.2025.1661679
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 0.00