Predictive modeling of immunotherapy efficacy in driver gene-negative non-small cell lung cancer
We have successfully developed a prediction model for the effectiveness of immunotherapy for NSCLC in this study. This model allows us to more precisely identify those individuals who have NDB from immunotherapy, and for these patients, additional radiotherapy combined with first-line treatment can produce better therapeutic effects.
Authors
- Guangqin Zou
- Xipeng Tao (ORCID: https://orcid.org/0009-0006-4284-0616)
- Xia Liu
- Hu Luo
- Yumo Zhong
- Xiangdong Zhou
Institutions
- Army Medical University (CN)
- Ruijin Hospital (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Southwest Hospital (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2026-02-01
- DOI
- https://doi.org/10.21037/tlcr-2025-923
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00