A Mendelian randomization-based risk model using aging-related genes for prognosis in lung adenocarcinoma
A robust ARG-based risk model, leveraging Cox regression and LASSO, effectively predicts survival and immunotherapy responses in LUAD, offering new tools for personalized prognosis and treatment strategies.
Authors
- Jiahao Cai (ORCID: https://orcid.org/0000-0002-9050-9673)
- Zhonghe Liu (ORCID: https://orcid.org/0009-0002-0976-4827)
- Shaowen Feng
- Jiazheng Huang
- Huiqin Yang
- Hui Li (ORCID: https://orcid.org/0000-0002-7879-1792)
- Zhongjin Wang
- Xiaowang Liu (ORCID: https://orcid.org/0009-0002-8133-6480)
Institutions
- Fudan University (CN)
- Shanghai Chest Hospital (CN)
- Taixing People's Hospital (CN)
- Zoucheng People's Hospital (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Zhongshan Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1007/s12672-025-04101-x
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00