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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Chengbo Tan, Changchuan Bai, Meiqing Lou, Xiangqian Qi et al.
Journal of Translational Medicine
Radiomics and Machine Learning in Medical Imaging
article

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

Chengbo Tan, Changchuan Bai, Meiqing Lou, Xiangqian Qi, Linli Zhang, Xiaonan Cui, Yue Wang, Fangjing Yu, Shuang Li, Yujing Zhou, Xiaojie Wang, Bin Dong
article en

Abstract

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.

Journal of Translational MedicineVol. 24(1)
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)
Good health and well-being
Openalex Percentile: Top 74%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

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 — Chengbo Tan, Changchuan Bai, et al. · Journal of Translational Medicine (2026) | TGRS Research Map | TGRS