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On Study of Immune Response to Tumor Cells in Prey-Predator System
This paper aims to develop the mathematical model that explores the immune response to a tumor system as a prey-predator system. A deterministic model defining the dynamics of tumor growth progression and regression has been analyzed. Our analysis indicates the tumor recurring and dormancy on the ce...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897590/ https://www.ncbi.nlm.nih.gov/pubmed/27355046 http://dx.doi.org/10.1155/2014/346597 |
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author | Kaur, Gurpreet Ahmad, Naseem |
author_facet | Kaur, Gurpreet Ahmad, Naseem |
author_sort | Kaur, Gurpreet |
collection | PubMed |
description | This paper aims to develop the mathematical model that explores the immune response to a tumor system as a prey-predator system. A deterministic model defining the dynamics of tumor growth progression and regression has been analyzed. Our analysis indicates the tumor recurring and dormancy on the cellular level in combination with resting and hunting cells. The model considered in the present study is a generalization of El-Gohary (2008) by introducing the Michaelis-Menten function. This function describes the stimulation process of the resting cells by the tumor cells in the presence of tumor specific antigens. Local and global stability analysis have been performed along with the numerical simulation to support our findings. |
format | Online Article Text |
id | pubmed-4897590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-48975902016-06-28 On Study of Immune Response to Tumor Cells in Prey-Predator System Kaur, Gurpreet Ahmad, Naseem Int Sch Res Notices Research Article This paper aims to develop the mathematical model that explores the immune response to a tumor system as a prey-predator system. A deterministic model defining the dynamics of tumor growth progression and regression has been analyzed. Our analysis indicates the tumor recurring and dormancy on the cellular level in combination with resting and hunting cells. The model considered in the present study is a generalization of El-Gohary (2008) by introducing the Michaelis-Menten function. This function describes the stimulation process of the resting cells by the tumor cells in the presence of tumor specific antigens. Local and global stability analysis have been performed along with the numerical simulation to support our findings. Hindawi Publishing Corporation 2014-09-22 /pmc/articles/PMC4897590/ /pubmed/27355046 http://dx.doi.org/10.1155/2014/346597 Text en Copyright © 2014 G. Kaur and N. Ahmad. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kaur, Gurpreet Ahmad, Naseem On Study of Immune Response to Tumor Cells in Prey-Predator System |
title | On Study of Immune Response to Tumor Cells in Prey-Predator System |
title_full | On Study of Immune Response to Tumor Cells in Prey-Predator System |
title_fullStr | On Study of Immune Response to Tumor Cells in Prey-Predator System |
title_full_unstemmed | On Study of Immune Response to Tumor Cells in Prey-Predator System |
title_short | On Study of Immune Response to Tumor Cells in Prey-Predator System |
title_sort | on study of immune response to tumor cells in prey-predator system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897590/ https://www.ncbi.nlm.nih.gov/pubmed/27355046 http://dx.doi.org/10.1155/2014/346597 |
work_keys_str_mv | AT kaurgurpreet onstudyofimmuneresponsetotumorcellsinpreypredatorsystem AT ahmadnaseem onstudyofimmuneresponsetotumorcellsinpreypredatorsystem |