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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-9952378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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