Delay differential system for interaction between tumour growth and immune responses

This paper presents a model of tumour growth that describes the interactions between immune responses and tumour cells. The model is based on the model discussed in [1] with considering another immune response (NK cell) instead of merely an immune response (CD8+ T cell). The new proposed model becom...

Full description

Saved in:
Bibliographic Details
Main Authors: Awang, Nor Aziran, Mann, Normah
Format: Conference or Workshop Item
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/61782/
http://www.ntmsci.com/Conferences/ICAAMM2015
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.61782
record_format eprints
spelling my.utm.617822017-04-26T06:31:53Z http://eprints.utm.my/id/eprint/61782/ Delay differential system for interaction between tumour growth and immune responses Awang, Nor Aziran Mann, Normah QA Mathematics This paper presents a model of tumour growth that describes the interactions between immune responses and tumour cells. The model is based on the model discussed in [1] with considering another immune response (NK cell) instead of merely an immune response (CD8+ T cell). The new proposed model becomes a four-population model, represented as delay differential system that includes population of tumour during interphase, population of tumour during mitosis and immune responses (NK and CD8+ T cells) . The cycling of population of tumour is subdivided into phases: interphase (G1, S and G2 phases) and mitosis phase (M-phase). The stability of the system is then analysed by Routh-Hurwitz criteria in order to determine the stability of the fixed points. Routh-Hurwitz criteria is used for non-delay case. The comparison between the proposed model and the existing one is also considered. For the case when there is no delay, a st ability map shows that the curve limits tumour growth region and the curve for the proposed model shown to lie consistently below the curve of the existing one. In delay case, we used Geometric Argument [2] to establish the stability of the system. By modifying the argument principle, we show that the stability switching continuously as delay increase. 2015 Conference or Workshop Item PeerReviewed Awang, Nor Aziran and Mann, Normah (2015) Delay differential system for interaction between tumour growth and immune responses. In: International Conference on Applied Analysis and Mathematical Modeling ICAAMM15, 8-12 June, 2015, Istanbul, Turkey. http://www.ntmsci.com/Conferences/ICAAMM2015
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Awang, Nor Aziran
Mann, Normah
Delay differential system for interaction between tumour growth and immune responses
description This paper presents a model of tumour growth that describes the interactions between immune responses and tumour cells. The model is based on the model discussed in [1] with considering another immune response (NK cell) instead of merely an immune response (CD8+ T cell). The new proposed model becomes a four-population model, represented as delay differential system that includes population of tumour during interphase, population of tumour during mitosis and immune responses (NK and CD8+ T cells) . The cycling of population of tumour is subdivided into phases: interphase (G1, S and G2 phases) and mitosis phase (M-phase). The stability of the system is then analysed by Routh-Hurwitz criteria in order to determine the stability of the fixed points. Routh-Hurwitz criteria is used for non-delay case. The comparison between the proposed model and the existing one is also considered. For the case when there is no delay, a st ability map shows that the curve limits tumour growth region and the curve for the proposed model shown to lie consistently below the curve of the existing one. In delay case, we used Geometric Argument [2] to establish the stability of the system. By modifying the argument principle, we show that the stability switching continuously as delay increase.
format Conference or Workshop Item
author Awang, Nor Aziran
Mann, Normah
author_facet Awang, Nor Aziran
Mann, Normah
author_sort Awang, Nor Aziran
title Delay differential system for interaction between tumour growth and immune responses
title_short Delay differential system for interaction between tumour growth and immune responses
title_full Delay differential system for interaction between tumour growth and immune responses
title_fullStr Delay differential system for interaction between tumour growth and immune responses
title_full_unstemmed Delay differential system for interaction between tumour growth and immune responses
title_sort delay differential system for interaction between tumour growth and immune responses
publishDate 2015
url http://eprints.utm.my/id/eprint/61782/
http://www.ntmsci.com/Conferences/ICAAMM2015
_version_ 1643655259611987968
score 13.160551