Two inflammation-related genes model could predict risk in prognosis of patients with lung adenocarcinoma
We constructed a robust model for predicting the risk of LUAD patients and evaluated the clinical outcomes independently with strong predictive power. This model stands as a reliable guide for implementing personalized treatment strategy.
Authors
- Junqi Long (ORCID: https://orcid.org/0000-0002-3059-2807)
- Shuangtao Zhao (ORCID: https://orcid.org/0000-0002-8624-7834)
- Gege Li
- Wei Yang (ORCID: https://orcid.org/0000-0001-5704-2277)
- Zhidong Liu (ORCID: https://orcid.org/0009-0006-3364-9860)
- Shijie Zhou (ORCID: https://orcid.org/0000-0001-6411-7222)
- Yuanfeng Chen (ORCID: https://orcid.org/0000-0002-8211-5762)
- Jingzehua Xu
Institutions
- Capital Medical University (CN)
- Beijing University of Technology (CN)
- Beijing Chest Hospital (CN)
Publication Details
- Journal
- Clinical & Translational Oncology
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1007/s12094-025-03861-w
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Postdoctoral Science Foundation
- Nankai University