Sustained Coevolution in a Stochastic Model of Cancer-Immune Interaction.

ABSTRACT: The dynamic interactions between an evolving malignancy and the adaptive immune system generate diverse evolutionary trajectories that ultimately result in tumor clearance or immune escape. Here, we create a simple mathematical model coupling T-cell recognition with an evolving cancer population that may randomly produce evasive subclones, imparting transient protection against the effector T cells. T-cell turnover declines and evasion rates together explained differences in early incidence data across almost all cancer types. Fitting the model to TRACERx evolutionary data argued in favor of substantial and sustained immune pressure exerted upon a developing tumor, suggesting that clinically observed incidence is a small proportion of all cancer initiation events. This dynamical model prom

SUBMITTER: George JT 

PROVIDER: S-EPMC7179478 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature