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Abstract #2128

Advancing Radiogenomics: MRI-Guided Identification of Novel Breast Cancer Molecular Subtypes

Qingpei LAI1, Xinzhi TENG1, Xinyu ZHANG1, Jiang ZHANG1, Tian LI1, Jing CAI1, and Ge REN1
1Department of Health Technology and Informatics, The Hong Kong Polytechnic University, HongKong, China

Synopsis

Keywords: Breast, Drugs

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.

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