Kristin R. Swanson

TL;DR: Of the 6 distinct MRI-defined habitats, the fractional tumor volume of habitat 6 at diagnosis was significantly predictive of long- or short-term survival, and a possible mechanistic basis for this association is discussed and implications for habitat-driven adaptive therapy of GBM.

TL;DR: A hybrid agent-based mathematical model is created that captures both the overall tumor kinetics and the individual cellular behavior of glioblastomas and determined that environmental heterogeneity alone is insufficient to match the single cell data, and intrinsic heterogeneity is required to fully capture the migration behavior.

TL;DR: Simulations of the differential diffusion of PDGF-expressing and recruited cell populations via a system of partial differential equations with spatially variable diffusion coefficients and solving the equations in two spatial dimensions on a mouse brain atlas demonstrate qualitative agreement with the observed tumor distribution in the experimental animal system.

TL;DR: The present mathematical model characterizes glioma growth and invasiveness in terms of only two dominant parameters: net rates of diffusion/motility and the extent of invasion.