Space-velocity thermostatted kinetic theory model of tumor growth

The competition between cancer cells and immune system cells in inhomogeneous conditions is described at cell scale within the framework of the thermostatted kinetic theory. Cell learning is reproduced by increased cell activity during favorable interactions. The cell activity fluctuations are contr...

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Autores principales: Léon Masurel, Carlo Bianca, Annie Lemarchand
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Lenguaje:EN
Publicado: AIMS Press 2021
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Acceso en línea:https://doaj.org/article/34fbba8fd66d4ebda0a24c7c17b157b8
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spelling oai:doaj.org-article:34fbba8fd66d4ebda0a24c7c17b157b82021-11-09T02:20:58ZSpace-velocity thermostatted kinetic theory model of tumor growth10.3934/mbe.20212791551-0018https://doaj.org/article/34fbba8fd66d4ebda0a24c7c17b157b82021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021279?viewType=HTMLhttps://doaj.org/toc/1551-0018The competition between cancer cells and immune system cells in inhomogeneous conditions is described at cell scale within the framework of the thermostatted kinetic theory. Cell learning is reproduced by increased cell activity during favorable interactions. The cell activity fluctuations are controlled by a thermostat. The direction of cell velocity is changed according to stochastic rules mimicking a dense fluid. We develop a kinetic Monte Carlo algorithm inspired from the direct simulation Monte Carlo (DSMC) method initially used for dilute gases. The simulations generate stochastic trajectories sampling the kinetic equations for the distributions of the different cell types. The evolution of an initially localized tumor is analyzed. Qualitatively different behaviors are observed as the field regulating activity fluctuations decreases. For high field values, i.e. efficient thermalization, cancer is controlled. For small field values, cancer rapidly and monotonously escapes from immunosurveillance. For the critical field value separating these two domains, the 3E's of immunotherapy are reproduced, with an apparent initial elimination of cancer, a long quasi-equilibrium period followed by large fluctuations, and the final escape of cancer, even for a favored production of immune system cells. For field values slightly smaller than the critical value, more regular oscillations of the number of immune system cells are spontaneously observed in agreement with clinical observations. The antagonistic effects that the stimulation of the immune system may have on oncogenesis are reproduced in the model by activity-weighted rate constants for the autocatalytic productions of immune system cells and cancer cells. Local favorable conditions for the launching of the oscillations are met in the fluctuating inhomogeneous system, able to generate a small cluster of immune system cells with larger activities than those of the surrounding cancer cells.Léon MasurelCarlo BiancaAnnie LemarchandAIMS Pressarticlethermostatted kinetic theorycancerimmune systemkinetic monte carlo simulationsoscillationsBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5525-5551 (2021)
institution DOAJ
collection DOAJ
language EN
topic thermostatted kinetic theory
cancer
immune system
kinetic monte carlo simulations
oscillations
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle thermostatted kinetic theory
cancer
immune system
kinetic monte carlo simulations
oscillations
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Léon Masurel
Carlo Bianca
Annie Lemarchand
Space-velocity thermostatted kinetic theory model of tumor growth
description The competition between cancer cells and immune system cells in inhomogeneous conditions is described at cell scale within the framework of the thermostatted kinetic theory. Cell learning is reproduced by increased cell activity during favorable interactions. The cell activity fluctuations are controlled by a thermostat. The direction of cell velocity is changed according to stochastic rules mimicking a dense fluid. We develop a kinetic Monte Carlo algorithm inspired from the direct simulation Monte Carlo (DSMC) method initially used for dilute gases. The simulations generate stochastic trajectories sampling the kinetic equations for the distributions of the different cell types. The evolution of an initially localized tumor is analyzed. Qualitatively different behaviors are observed as the field regulating activity fluctuations decreases. For high field values, i.e. efficient thermalization, cancer is controlled. For small field values, cancer rapidly and monotonously escapes from immunosurveillance. For the critical field value separating these two domains, the 3E's of immunotherapy are reproduced, with an apparent initial elimination of cancer, a long quasi-equilibrium period followed by large fluctuations, and the final escape of cancer, even for a favored production of immune system cells. For field values slightly smaller than the critical value, more regular oscillations of the number of immune system cells are spontaneously observed in agreement with clinical observations. The antagonistic effects that the stimulation of the immune system may have on oncogenesis are reproduced in the model by activity-weighted rate constants for the autocatalytic productions of immune system cells and cancer cells. Local favorable conditions for the launching of the oscillations are met in the fluctuating inhomogeneous system, able to generate a small cluster of immune system cells with larger activities than those of the surrounding cancer cells.
format article
author Léon Masurel
Carlo Bianca
Annie Lemarchand
author_facet Léon Masurel
Carlo Bianca
Annie Lemarchand
author_sort Léon Masurel
title Space-velocity thermostatted kinetic theory model of tumor growth
title_short Space-velocity thermostatted kinetic theory model of tumor growth
title_full Space-velocity thermostatted kinetic theory model of tumor growth
title_fullStr Space-velocity thermostatted kinetic theory model of tumor growth
title_full_unstemmed Space-velocity thermostatted kinetic theory model of tumor growth
title_sort space-velocity thermostatted kinetic theory model of tumor growth
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/34fbba8fd66d4ebda0a24c7c17b157b8
work_keys_str_mv AT leonmasurel spacevelocitythermostattedkinetictheorymodeloftumorgrowth
AT carlobianca spacevelocitythermostattedkinetictheorymodeloftumorgrowth
AT annielemarchand spacevelocitythermostattedkinetictheorymodeloftumorgrowth
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