GBM modeling with proliferation and migration phenotypes: A proposal of initialization for real cases

Abstract

Glioblastoma is the most aggressive tumor originated in the central nervous system. Modeling its evolution is of great interest for therapy planning and early response to treatment assessment. Using a continuous multi-scale growth model, which considers the angiogenic process, oxygen supply and different phenotype expressions, a new method is proposed for setting the initial values of the celular variables, based on a spatiotemporal characterization of their distribution in controlled synthetic simulations. The method is applied to a real case showing an improvement on the dynamic stability, compared to the usual method.