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Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model

This study reports on a phase-space analysis of a mathematical model of tumor growth with the interaction between virus and immune response. In this study, a mathematical determination was attempted to demonstrate the relationship between uninfected cells, infected cells, effector immune cells, and...

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Autores principales: Shakhmurov, Veli B., Kurulay, Muhammet, Sahmurova, Aida, Gursesli, Mustafa Can, Lanata, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952378/
https://www.ncbi.nlm.nih.gov/pubmed/36829718
http://dx.doi.org/10.3390/bioengineering10020224
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author Shakhmurov, Veli B.
Kurulay, Muhammet
Sahmurova, Aida
Gursesli, Mustafa Can
Lanata, Antonio
author_facet Shakhmurov, Veli B.
Kurulay, Muhammet
Sahmurova, Aida
Gursesli, Mustafa Can
Lanata, Antonio
author_sort Shakhmurov, Veli B.
collection PubMed
description This study reports on a phase-space analysis of a mathematical model of tumor growth with the interaction between virus and immune response. In this study, a mathematical determination was attempted to demonstrate the relationship between uninfected cells, infected cells, effector immune cells, and free viruses using a dynamic model. We revealed the stability analysis of the system and the Lyapunov stability of the equilibrium points. Moreover, all endemic equilibrium point models are derived. We investigated the stability behavior and the range of attraction sets of the nonlinear systems concerning our model. Furthermore, a global stability analysis is proved either in the construction of a Lyapunov function showing the validity of the concerned disease-free equilibria or in endemic equilibria discussed by the model. Finally, a simulated solution is achieved and the relationship between cancer cells and other cells is drawn.
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spelling pubmed-99523782023-02-25 Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model Shakhmurov, Veli B. Kurulay, Muhammet Sahmurova, Aida Gursesli, Mustafa Can Lanata, Antonio Bioengineering (Basel) Article This study reports on a phase-space analysis of a mathematical model of tumor growth with the interaction between virus and immune response. In this study, a mathematical determination was attempted to demonstrate the relationship between uninfected cells, infected cells, effector immune cells, and free viruses using a dynamic model. We revealed the stability analysis of the system and the Lyapunov stability of the equilibrium points. Moreover, all endemic equilibrium point models are derived. We investigated the stability behavior and the range of attraction sets of the nonlinear systems concerning our model. Furthermore, a global stability analysis is proved either in the construction of a Lyapunov function showing the validity of the concerned disease-free equilibria or in endemic equilibria discussed by the model. Finally, a simulated solution is achieved and the relationship between cancer cells and other cells is drawn. MDPI 2023-02-07 /pmc/articles/PMC9952378/ /pubmed/36829718 http://dx.doi.org/10.3390/bioengineering10020224 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shakhmurov, Veli B.
Kurulay, Muhammet
Sahmurova, Aida
Gursesli, Mustafa Can
Lanata, Antonio
Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model
title Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model
title_full Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model
title_fullStr Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model
title_full_unstemmed Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model
title_short Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model
title_sort interaction of virus in cancer patients: a theoretical dynamic model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952378/
https://www.ncbi.nlm.nih.gov/pubmed/36829718
http://dx.doi.org/10.3390/bioengineering10020224
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