A novel model for predicting immunotherapy response and prognosis in NSCLC patients
In this study, we developed a novel model (RF model) to predict the response to immunotherapy and prognosis in NSCLC patients. The RF model demonstrated better predictive performance for immunotherapy responses than the Nomogram model. Moreover, when predicting the prognosis of immunotherapy, it outperformed the Nomogram model, LIPI, and SIS.
Authors
- Xiaorong Luo (ORCID: https://orcid.org/0000-0001-5973-3258)
- Jietao Lin (ORCID: https://orcid.org/0000-0002-5507-3499)
- Mo Yang (ORCID: https://orcid.org/0000-0002-3863-8187)
- Ting Zang
- Shulin Chen (ORCID: https://orcid.org/0000-0002-0280-1536)
- Zhiling Li (ORCID: https://orcid.org/0000-0002-1467-0641)
- Yingchun Zhou (ORCID: https://orcid.org/0000-0003-1340-113X)
- Weiguo Lü (ORCID: https://orcid.org/0000-0003-2062-7145)
Institutions
- First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1186/s12935-025-03800-3
- Citations
- 4
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 4.18
Funders
- Sun Yat-sen University
- Sun Yat-sen University Cancer Center