Mathematical modeling of tumor immune interactions: the role of anti-FGFR and anti-PD-1 in the combination therapy
by Chenghang Li, Zonghang Ren, Guiyu Yang, Jinzhi Lei
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Bladder cancer is a malignant tumors of the urinary system known for its high incidence and recurrence rates. Recent studies suggest that combination therapy could improve survival outcomes for bladder cancer patients with high FGFR and PD-L1 expression. This study introduces a mathematical model that integrates the inter-regulatory network of the tumor microenvironment and the competition mechanism between the drug and the ligand-binding receptor. This model describes tumor proliferation dynamics under various treatment strategies and visualizes these process through an agent-based model. The study analyzes the tumor microenvironment dynamics, combination therapy efficacy, treatment sequencing, disease progression, and patient survival.
The protocol of data-driven mathematical model development and application.
