Radiomics-based gradient boosting model on contrast-enhanced MRI for non-invasive prediction of epidermal growth factor receptor expression and therapeutic response to EGFR-targeted antibody-drug conjugates in high-grade glioma organoid models
EGF/EGFR expression is associated with immunosuppressive microenvironments and adverse outcomes in HGG. Radiomics may provide a non-invasive approach for estimating EGFR expression, although model performance requires external validation and EGFR-ADCs showed partial inhibitory activity within the tested range, though potency remains to be defined.These findings suggest a framework into radiogenomic stratification and targeted therapy in GBM.
Authors
- Chengbo Tan
- Changchuan Bai
- Meiqing Lou
- Xiangqian Qi
- Linli Zhang
- Xiaonan Cui
- Yue Wang
- Fangjing Yu
- Shuang Li
- Yujing Zhou
- Xiaojie Wang
- Bin Dong
Institutions
- Shanghai Jiao Tong University (CN)
- Dalian Medical University (CN)
- Shanghai Medical Information Center (CN)
- Shanghai First People's Hospital (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
- Shanghai Jian Qiao University (CN)
- YangPu Geriatric Hospital (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1186/s12967-025-07634-5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00