C. Gatenbee

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 develops a mathematical model of neoantigen evolution in tumors and validates it with colorectal cancer data, showing how negative selection shapes tumor immunogenotype and clonality.

This study shows that tissue structure influences tumor evolution by accelerating neutral expansion through spatial constraints and dispersal events.

This study uses immunohistochemistry data to model how macrophages influence tumor evolution through spatial dynamics and immune escape strategies in ductal carcinomas.

This study shows that tumor acidity promotes prostate cancer by altering macrophage phenotype, both in vitro and in vivo, and is supported by in silico modeling.