Multiscale modeling of glioblastoma
Year: 2018
Type: article
Abstract: As reviewed in the Editorial "Targeting glioblastoma stem-cells: a recurrent challenge in neuro-oncology" (1), we recently developed a 3D mathematical model of glioblastoma multiforme (GBM) progression and response to therapy (2).The development of the model necessarily required assumptions to be made about which key biological processes to incorporate and which to exclude.We aimed to develop a model that extensively defined the main features of GBM, which, as described in the Editorial, include invasiveness, intense proliferation, necrosis and neovascularization, as well as the crosstalk among GBM cells and cells in the microenvironment, and to use this model to test the effectiveness of different anti-GBM treatment strategies available in the clinical practice.In our mathematical model, we assumed that GBM had a hierarchical structure containing glioblastoma stem cells (GSCs), more rapidly dividing glioblastoma committed progenitor cells (GCPs) and post-mitotic glioblastoma terminally differentiated cells (GTDs).This mimics the underlying structure of the normal brain and a recent clonal analysis of human GBM supports this assumption (3).We also accounted for nonlinear interactions between
Source: Translational Cancer Research
Institutions: University of California, Irvine, University of Louisville
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2947235741