Advancing Radiogenomics: MRI-Guided Identification of Novel Breast Cancer Molecular Subtypes
Motivation: Current radiogenomics studies are limited in linking image phenotypes with genomic phenotypes, and their clinical translation value remains inadequately explored. Goal(s): Define novel breast cancer subtype using only image-associated genes and evaluate its prognostic and therapeutic importance. Approach: Extract a comprehensive image profile, identify image-associated genes, and define an image-inspired genomic subtype (I2G-C). Results: The new subtype, I2G-C, is distinct from traditional subtypes, characterized by unique immune and repair functions. I2G-C shows significant predictive value for patients receiving anti-HER2 therapies and identifies high-risk patients in terms of disease-free survival. Impact: This study advances radiogenomics by demonstrating functional MRI-guided identification of new breast cancer subtypes, highlighting its potential in clinical applications.
Authors
- Tian Li (ORCID: https://orcid.org/0000-0002-8281-4459)
- Xiaodong Teng (ORCID: https://orcid.org/0000-0003-3717-3370)
- Qingpei Lai
- Jing Cai (ORCID: https://orcid.org/0000-0002-2032-8711)
- Xinyu Zhang (ORCID: https://orcid.org/0000-0001-8135-2144)
- Jiang Zhang (ORCID: https://orcid.org/0000-0001-5807-1686)
- Guosheng Ren (ORCID: https://orcid.org/0000-0002-6416-8967)
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/10.58530/2025/2128
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00