Development and validation of a circulating tumor DNA-based machine learning model for predicting immunotherapy response in non-small cell lung cancer
Our ctDNA-based SVM model accurately predicts DCB and survival outcomes in NSCLC patients receiving ICIs. By using a single baseline liquid biopsy, this model could streamline immunotherapy decision-making without requiring longitudinal monitoring.
Authors
- Jie Peng (ORCID: https://orcid.org/0000-0002-5278-3989)
- benlan li
- Yong Hu (ORCID: https://orcid.org/0000-0002-4440-1450)
- Daobin Zhou
- Ji Xia
- Ya Min Li
- Minfang Wang
- Tianchu He
- Zhongjun HUANG
- Xian Liu
- Dan Zou
- Min Zhang
- Shengfa Su
Institutions
- Guiyang Medical University (CN)
- Wuhan Pulmonary Hospital (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-12-01
- DOI
- https://doi.org/10.21037/tcr-2025-1182
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00