R. A. Gatenby

The paper analyzes multiplexed histological images from NSCLC patients to identify spatial immune ecologies that predict disease progression and serve as potential biomarkers for therapy response.

Mistic provides an open-source tool to visualize multiplexed images using t-SNE or UMAP layouts for exploratory analysis of tumor tissue ecology.

This study shows that macrophage-derived cholesterol supports androgen biosynthesis in prostate cancer, contributing to resistance to therapy, and that targeting macrophages can enhance treatment outcomes.

The paper uses a phenotype-structured model to show how fluctuating oxygen levels affect cell population dynamics and competitive advantage through phenotypic variation rates.

This study shows that competition between two breast cancer cell lines depends on frequency-dependent interactions, not just growth rates or carrying capacities.

This paper introduces three novel concepts to aid in designing multi-drug adaptive therapies for cancer by analyzing tumor evolution dynamics and treatment strategies.

This study models how spatial heterogeneity and evolutionary dynamics affect cancer recurrence under different treatment schedules.