Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.

ABSTRACT: Glioblastoma (GBM) is an aggressive type of brain cancer with remarkable cell migration and adaptation capabilities. Exploratory adaptation-utilization of random changes in gene regulation for adaptive benefits-was recently proposed as the process enabling organisms to survive unforeseen conditions. We investigate whether exploratory adaption explains how GBM cells from different anatomic regions of the tumor cope with micro-environmental pressures. We introduce new notions of phenotype and phenotype distance, and determine probable spatial-phenotypic trajectories based on patient data. While some cell phenotypes are inherently plastic, others are intrinsically rigid with respect to phenotypic transitions. We demonstrate that stochastic exploration of the regulatory network structure confe

SUBMITTER: Celiku O 

PROVIDER: S-EPMC6911112 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature