Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control

A simple mathematical model for the growth of tumour with discrete time delay in the immune system is considered. The dynamical behaviour of our system by analysing the existence and stability of our system at various equilibria is discussed elaborately. We set up an optimal control problem relative...

Full description

Bibliographic Details
Main Authors: N. S. Ravindran, M. Mohamed Sheriff, P. Krishnapriya
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Journal of Biological Dynamics
Subjects:
Online Access:http://dx.doi.org/10.1080/17513758.2017.1381280
id doaj-796ea984fc0f4a1f933f1c7a28993f07
record_format Article
spelling doaj-796ea984fc0f4a1f933f1c7a28993f072020-11-25T00:30:59ZengTaylor & Francis GroupJournal of Biological Dynamics1751-37581751-37662017-01-0111148050310.1080/17513758.2017.13812801381280Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal controlN. S. Ravindran0M. Mohamed Sheriff1P. Krishnapriya2Bharathiar UniversityBharathiar UniversityUniversity of MadrasA simple mathematical model for the growth of tumour with discrete time delay in the immune system is considered. The dynamical behaviour of our system by analysing the existence and stability of our system at various equilibria is discussed elaborately. We set up an optimal control problem relative to the model so as to minimize the number of tumour cells and the chemo-immunotherapeutic drug administration. Sensitivity analysis of tumour model reveals that parameter value has a major impact on the model dynamics. We numerically illustrate how does these delay can change the stability region of the immune-control equilibrium and display the different impacts to the control of tumour. Finally, epidemiological implications of our analytical findings are addressed critically.http://dx.doi.org/10.1080/17513758.2017.1381280Tumour modelstability analysischemo-immunotherapyquadratic optimal controlsensitivity analysis
collection DOAJ
language English
format Article
sources DOAJ
author N. S. Ravindran
M. Mohamed Sheriff
P. Krishnapriya
spellingShingle N. S. Ravindran
M. Mohamed Sheriff
P. Krishnapriya
Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
Journal of Biological Dynamics
Tumour model
stability analysis
chemo-immunotherapy
quadratic optimal control
sensitivity analysis
author_facet N. S. Ravindran
M. Mohamed Sheriff
P. Krishnapriya
author_sort N. S. Ravindran
title Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
title_short Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
title_full Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
title_fullStr Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
title_full_unstemmed Analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
title_sort analysis of tumour-immune evasion with chemo-immuno therapeutic treatment with quadratic optimal control
publisher Taylor & Francis Group
series Journal of Biological Dynamics
issn 1751-3758
1751-3766
publishDate 2017-01-01
description A simple mathematical model for the growth of tumour with discrete time delay in the immune system is considered. The dynamical behaviour of our system by analysing the existence and stability of our system at various equilibria is discussed elaborately. We set up an optimal control problem relative to the model so as to minimize the number of tumour cells and the chemo-immunotherapeutic drug administration. Sensitivity analysis of tumour model reveals that parameter value has a major impact on the model dynamics. We numerically illustrate how does these delay can change the stability region of the immune-control equilibrium and display the different impacts to the control of tumour. Finally, epidemiological implications of our analytical findings are addressed critically.
topic Tumour model
stability analysis
chemo-immunotherapy
quadratic optimal control
sensitivity analysis
url http://dx.doi.org/10.1080/17513758.2017.1381280
work_keys_str_mv AT nsravindran analysisoftumourimmuneevasionwithchemoimmunotherapeutictreatmentwithquadraticoptimalcontrol
AT mmohamedsheriff analysisoftumourimmuneevasionwithchemoimmunotherapeutictreatmentwithquadraticoptimalcontrol
AT pkrishnapriya analysisoftumourimmuneevasionwithchemoimmunotherapeutictreatmentwithquadraticoptimalcontrol
_version_ 1725324449214889984