Influence of diffusion on interactions between malignant gliomas and immune system

Urszula Foryś. "Influence of diffusion on interactions between malignant gliomas and immune system." Applicationes Mathematicae 37.1 (2010): 53-67. <http://eudml.org/doc/279982>.

@article{UrszulaForyś2010,
abstract = {We analyse the influence of diffusion and space distribution of cells in a simple model of interactions between an activated immune system and malignant gliomas, among which the most aggressive one is GBM Glioblastoma Multiforme. It turns out that diffusion cannot affect stability of spatially homogeneous steady states. This suggests that there are two possible outcomes-the solution is either attracted by the positive steady state or by the semitrivial one. The semitrivial steady state describes the healthy state, while the positive one reflects the chronic disease and typically the level of tumour cells in this state is very high, exceeding the threshold of lethal outcome. Results of numerical simulation show that the initial tumour cells distribution has an essential impact on the dynamics of the system. If the positive steady state exists, then we observe bistability and the initial distribution decides to which steady state the solution tends.},
author = {Urszula Foryś},
journal = {Applicationes Mathematicae},
keywords = {bistability; Neumann boundary conditions},
language = {eng},
number = {1},
pages = {53-67},
title = {Influence of diffusion on interactions between malignant gliomas and immune system},
url = {http://eudml.org/doc/279982},
volume = {37},
year = {2010},
}

TY - JOUR
AU - Urszula Foryś
TI - Influence of diffusion on interactions between malignant gliomas and immune system
JO - Applicationes Mathematicae
PY - 2010
VL - 37
IS - 1
SP - 53
EP - 67
AB - We analyse the influence of diffusion and space distribution of cells in a simple model of interactions between an activated immune system and malignant gliomas, among which the most aggressive one is GBM Glioblastoma Multiforme. It turns out that diffusion cannot affect stability of spatially homogeneous steady states. This suggests that there are two possible outcomes-the solution is either attracted by the positive steady state or by the semitrivial one. The semitrivial steady state describes the healthy state, while the positive one reflects the chronic disease and typically the level of tumour cells in this state is very high, exceeding the threshold of lethal outcome. Results of numerical simulation show that the initial tumour cells distribution has an essential impact on the dynamics of the system. If the positive steady state exists, then we observe bistability and the initial distribution decides to which steady state the solution tends.
LA - eng
KW - bistability; Neumann boundary conditions
UR - http://eudml.org/doc/279982
ER -