A literature-parameterized ODE model of five TNBC cell populations ranks tumor proliferation, CAF-driven growth support, and M2-macrophage support as the biggest drivers of Day-168 tumor burden.
Characterization of cancer-associated fibroblasts (CAFs) and development of a CAF-based risk model for triple-negative breast cancer
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Identifying Therapeutic Targets for Triple-Negative Breast Cancer using a Novel Mathematical Model of the Tumor Microenvironment
A literature-parameterized ODE model of five TNBC cell populations ranks tumor proliferation, CAF-driven growth support, and M2-macrophage support as the biggest drivers of Day-168 tumor burden.