journal article Open Access Jan 01, 2012

Qualitative and Computational Analysis of a Mathematical Model for Tumor‐Immune Interactions

View at Publisher Save 10.1155/2012/475720
Abstract
We provide a family of ordinary and delay differential equations to model the dynamics of tumor‐growth and immunotherapy interactions. We explore the effects of adoptive cellular immunotherapy on the model and describe under what circumstances the tumor can be eliminated. The possibility of clearing the tumor, with a strategy, is based on two parameters in the model: the rate of influx of the effector cells and the rate of influx of IL‐2. The critical tumor‐growth rate, below which endemic tumor does not exist, has been found. One can use the model to make predictions about tumor dormancy.
Topics

No keywords indexed for this article. Browse by subject →

References
34
[3]
RihanF. Delay differential models in dynamic diseases 2 Proceedings of the International Conference on Bioinformatics and Computational Biology 2010 Honolulu Hawaii USA 73–79.
[4]
DeBoer R. J. "Macrophage T lymphocyte interactions in the antitumor immune response: a mathematical model" Journal of Immunology (1985) 10.4049/jimmunol.134.4.2748
[5]
DeLisi C. "Immune surveillance and neoplasia. I. A minimal mathematical model" Bulletin of Mathematical Biology (1977)
[6]
Gałach M. "Dynamics of the tumor-immune system competition the effect of time delay" International Journal of Applied Mathematics and Computer Science (2003)
[7]
Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysis

Vladimir A. Kuznetsov, Iliya A. Makalkin, Mark A. Taylor et al.

Bulletin of Mathematical Biology 10.1007/bf02460644
[15]
Bifurcation analysis in models of tumor and immune system interactions

Dan Liu, Shigui Ruan, Deming Zhu

Discrete and Continuous Dynamical Systems - B 10.3934/dcdsb.2009.12.151
[16]
Arciero J. C. "A mathematical model of tumor-immune evasion and siRNA treatment" Discrete and Continuous Dynamical Systems (2004)
[18]
Isaeva O. "Modelling of anti-tumor immune response: immunocorrective effect of weak centimeter electromagnetic waves" Journal of Mathematical Methods in Medicine (2009)
[25]
Piotrowska M. "The nature of hopf bifurcation for the gompertz model with delays" Mathematical and Computer Modelling (2011) 10.1016/j.mcm.2011.05.027
[30]
Bodnar M. "Behaviour of solutions to Marchuk′s model depending on a time delay" International Journal of Applied Mathematics and Computer Science (2000)
[31]
Bodnar M. "Periodic dynamics in a model of immune system" Applicationes Mathematicae (2000) 10.4064/am-27-1-113-126
[32]
The effect of time delays on the dynamics of avascular tumor growth

H.M. Byrne

Mathematical Biosciences 10.1016/s0025-5564(97)00023-0
[33]
Beaumont R. (1963)
Cited By
27
Computational and Mathematical Meth...
Metrics
27
Citations
34
References
Details
Published
Jan 01, 2012
Vol/Issue
2012(1)
License
View
Funding
Emirates Foundation
Cite This Article
F. A. Rihan, M. Safan, M. A. Abdeen, et al. (2012). Qualitative and Computational Analysis of a Mathematical Model for Tumor‐Immune Interactions. Journal of Applied Mathematics, 2012(1). https://doi.org/10.1155/2012/475720