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Spatial Agent-Based Modeling and Interpretable Machine Learning Predict Combination Therapy Response in HER2-Heterogeneous Breast Cancer

2026-03-17

Abstract excerpt

HER2 heterogeneity and reversible phenotypic plasticity play a central role in breast cancer progression and therapeutic resistance, yet how their interaction shapes treatment response remains poorly understood. Experimental and clinical evidence indicates that HER2-positive and HER2-negative tumor cell states can dynamically interconvert, enabling compensatory population shifts that undermine monotherapies target...

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Literature Corpus work
b86ada30-9aa5-58a0-b96d-2dbd9c91a387
DOI
10.64898/2026.03.14.711774
Open publication

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Spatial Agent-Based Modeling and Interpretable Machine Learning Predict Combination Therapy Response in HER2-Heterogeneous Breast CancerDOI 10.64898/2026.03.14.711774
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