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New paper: Stochastic dynamics of tumor-immune interactions

Jesse leads analysis into the tumor-immune dynamics of myeloid-derived suppressor cells (MDSCs) in the metastatic niche in collaboration with Evanthia Roussos Torres. We discovered a striking dependance of the probability of metastatic establishment on properties of MDSC dynamics. Reductions in the MDSC rate of recruitment to the metastatic site decreased the likelihood of cancer progression by up to 50%. The full model is composed of stochastic delay differential equations, from which we also derive reduced DDE and ODE models for analyses. Code is available here. Read the preprint here.