A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis

We propose a model for glioma patterns in a microlocal tumor environment under the influence of acidity, angiogenesis, and tissue anisotropy. The bottom-up model deduction eventually leads to a system of reaction–diffusion–taxis equations for glioma and endothelial cell population densities, of whic...

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Main Authors: Pawan Kumar, Christina Surulescu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/11/1870
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author Pawan Kumar
Christina Surulescu
author_facet Pawan Kumar
Christina Surulescu
author_sort Pawan Kumar
collection DOAJ
description We propose a model for glioma patterns in a microlocal tumor environment under the influence of acidity, angiogenesis, and tissue anisotropy. The bottom-up model deduction eventually leads to a system of reaction–diffusion–taxis equations for glioma and endothelial cell population densities, of which the former infers flux limitation both in the self-diffusion and taxis terms. The model extends a recently introduced (Kumar, Li and Surulescu, 2020) description of glioma pseudopalisade formation with the aim of studying the effect of hypoxia-induced tumor vascularization on the establishment and maintenance of these histological patterns which are typical for high-grade brain cancer. Numerical simulations of the population level dynamics are performed to investigate several model scenarios containing this and further effects.
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spelling doaj.art-7ab6e0d5faee4e08a2b091691a8f342c2023-11-20T20:55:37ZengMDPI AGSymmetry2073-89942020-11-011211187010.3390/sym12111870A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced AngiogenesisPawan Kumar0Christina Surulescu1Felix-Klein-Zentrum für Mathematik, TU Kaiserslautern, 67663 Kaiserslautern, GermanyFelix-Klein-Zentrum für Mathematik, TU Kaiserslautern, 67663 Kaiserslautern, GermanyWe propose a model for glioma patterns in a microlocal tumor environment under the influence of acidity, angiogenesis, and tissue anisotropy. The bottom-up model deduction eventually leads to a system of reaction–diffusion–taxis equations for glioma and endothelial cell population densities, of which the former infers flux limitation both in the self-diffusion and taxis terms. The model extends a recently introduced (Kumar, Li and Surulescu, 2020) description of glioma pseudopalisade formation with the aim of studying the effect of hypoxia-induced tumor vascularization on the establishment and maintenance of these histological patterns which are typical for high-grade brain cancer. Numerical simulations of the population level dynamics are performed to investigate several model scenarios containing this and further effects.https://www.mdpi.com/2073-8994/12/11/1870glioblastomapseudopalisadeshypoxia-induced angiogenesisflux-limited diffusion and taxiskinetic transport equationsequilibrium-based moment closure
spellingShingle Pawan Kumar
Christina Surulescu
A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis
Symmetry
glioblastoma
pseudopalisades
hypoxia-induced angiogenesis
flux-limited diffusion and taxis
kinetic transport equations
equilibrium-based moment closure
title A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis
title_full A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis
title_fullStr A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis
title_full_unstemmed A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis
title_short A Flux-Limited Model for Glioma Patterning with Hypoxia-Induced Angiogenesis
title_sort flux limited model for glioma patterning with hypoxia induced angiogenesis
topic glioblastoma
pseudopalisades
hypoxia-induced angiogenesis
flux-limited diffusion and taxis
kinetic transport equations
equilibrium-based moment closure
url https://www.mdpi.com/2073-8994/12/11/1870
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