A novel anoikis resistance-associated gene model for prognostic prediction and immune microenvironment characterization in lung squamous cell carcinoma
This validated ARG-based prognostic model effectively predicts survival outcomes and revealed strong associations between anoikis resistance, immune landscape alterations, and immunotherapy response, offering a framework for risk stratification and precision immunotherapy in LUSC clinical management.
Authors
- Dong Ou (ORCID: https://orcid.org/0000-0002-2234-4854)
- Hui Wang (ORCID: https://orcid.org/0000-0003-1494-6668)
- Daishun Liu (ORCID: https://orcid.org/0000-0003-3117-6685)
- Yi Liu
- Jin Nie
Institutions
- Guizhou University (CN)
- Zunyi Medical University (CN)
- First People’s Hospital of Zunyi (CN)
- People's Hospital of Bishan District (CN)
- Guizhou Provincial People's Hospital (CN)
- Affiliated Hospital of Zunyi Medical College (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1007/s12672-026-04395-5
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00