Classification of HER2-zero and HER2-low and Prediction of Progression in Triple Negative Breast Cancer Using MRI Features

Motivation: Triple-negative breast cancer (TNBC) is more aggressive than other molecular subtypes, and finding new biomarkers for targeted therapy and stratification of progression risk would be helpful. Goal(s): To evaluate MRI features between HER2-zero and HER2-low, and between progressed vs. non-progressed TNBC patients. Approach: MRI features were reviewed by radiologists based on BI-RADS lexicon. Results: 85/126 (67%) were identified as HER2-zero and 41 (33%) as HER2-low. No MRI features showed a significant difference between HER2-zero vs HER2-low. Fourteen of 126 (11%) patients showed progression (local, regional progression or distant metastasis), and they have more aggressive finding features and higher stages. Impact: TNBC had negative ER, PR, and HER2, which was defined as immunohistochemical staining 0, 1+, or 2+ with negative FISH, but currently, HER2-low may receive anti-HER2 drug conjugates. Finding imaging biomarkers may help in precision treatment and understanding progression risk.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2133
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Classification of HER2-zero and HER2-low and Prediction of Progression in Triple Negative Breast Cancer Using MRI Features

Min‐Ying Su, Jeon‐Hor Chen, Meihao Wang, Yang Zhang et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Classification of HER2-zero and HER2-low and Prediction of Progression in Triple Negative Breast Cancer Using MRI Features

Min‐Ying Su, Jeon‐Hor Chen, Meihao Wang, Yang Zhang, Jiejie Zhou, Yanlin Liu
article en

Abstract

Motivation: Triple-negative breast cancer (TNBC) is more aggressive than other molecular subtypes, and finding new biomarkers for targeted therapy and stratification of progression risk would be helpful. Goal(s): To evaluate MRI features between HER2-zero and HER2-low, and between progressed vs. non-progressed TNBC patients. Approach: MRI features were reviewed by radiologists based on BI-RADS lexicon. Results: 85/126 (67%) were identified as HER2-zero and 41 (33%) as HER2-low. No MRI features showed a significant difference between HER2-zero vs HER2-low. Fourteen of 126 (11%) patients showed progression (local, regional progression or distant metastasis), and they have more aggressive finding features and higher stages. Impact: TNBC had negative ER, PR, and HER2, which was defined as immunohistochemical staining 0, 1+, or 2+ with negative FISH, but currently, HER2-low may receive anti-HER2 drug conjugates. Finding imaging biomarkers may help in precision treatment and understanding progression risk.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
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Classification of HER2-zero and HER2-low and Prediction of Progression in Triple Negative Breast Cancer Using MRI Features — Min‐Ying Su, Jeon‐Hor Chen, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS