Dynamics of the tumor-immune system competition - the effect of time delay

Magda Galach

International Journal of Applied Mathematics and Computer Science (2003)

  • Volume: 13, Issue: 3, page 395-406
  • ISSN: 1641-876X

Abstract

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The model analyzed in this paper is based on the model set forth by V.A. Kuznetsov and M.A. Taylor, which describes a competition between the tumor and immune cells. Kuznetsov and Taylor assumed that tumor-immune interactions can be described by a Michaelis-Menten function. In the present paper a simplified version of the Kuznetsov-Taylor model (where immune reactions are described by a bilinear term) is studied. On the other hand, the effect of time delay is taken into account in order to achieve a better compatibility with reality.

How to cite

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Galach, Magda. "Dynamics of the tumor-immune system competition - the effect of time delay." International Journal of Applied Mathematics and Computer Science 13.3 (2003): 395-406. <http://eudml.org/doc/207653>.

@article{Galach2003,
abstract = {The model analyzed in this paper is based on the model set forth by V.A. Kuznetsov and M.A. Taylor, which describes a competition between the tumor and immune cells. Kuznetsov and Taylor assumed that tumor-immune interactions can be described by a Michaelis-Menten function. In the present paper a simplified version of the Kuznetsov-Taylor model (where immune reactions are described by a bilinear term) is studied. On the other hand, the effect of time delay is taken into account in order to achieve a better compatibility with reality.},
author = {Galach, Magda},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {mathematical model; differential equation; time delay; tumor growth},
language = {eng},
number = {3},
pages = {395-406},
title = {Dynamics of the tumor-immune system competition - the effect of time delay},
url = {http://eudml.org/doc/207653},
volume = {13},
year = {2003},
}

TY - JOUR
AU - Galach, Magda
TI - Dynamics of the tumor-immune system competition - the effect of time delay
JO - International Journal of Applied Mathematics and Computer Science
PY - 2003
VL - 13
IS - 3
SP - 395
EP - 406
AB - The model analyzed in this paper is based on the model set forth by V.A. Kuznetsov and M.A. Taylor, which describes a competition between the tumor and immune cells. Kuznetsov and Taylor assumed that tumor-immune interactions can be described by a Michaelis-Menten function. In the present paper a simplified version of the Kuznetsov-Taylor model (where immune reactions are described by a bilinear term) is studied. On the other hand, the effect of time delay is taken into account in order to achieve a better compatibility with reality.
LA - eng
KW - mathematical model; differential equation; time delay; tumor growth
UR - http://eudml.org/doc/207653
ER -

References

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  1. Bodnar M. (2000): The nonnegativity of solutions of delay differential equations. - Appl. Math. Lett., Vol. 13, No. 6, pp. 91-95. Zbl0958.34049
  2. Bodnar M. and Foryś U. (2000a): Behaviour of solutions to Marchuk's model depending on a time delay. - Int. J. Appl. Math. Comput.Sci., Vol. 10, No. 1, pp. 97-112. Zbl0947.92015
  3. Bodnar M. and Foryś U. (2000b): Periodic dynamics in the model of immune system. - Appl. Math., Vol. 27, No. 1, pp. 113-126. Zbl1007.34067
  4. Byrne H.M. (1997): The effect of time delay on the dynamics of avascular tumour growth. - Math. Biosci., Vol. 144, No. 2, pp. 83-117. Zbl0904.92023
  5. Foryś U. (2002): Marchuk's model of immune system dynamics with application to tumour growth. - J. Theor. Med., Vol. 4, No. 1, pp. 85-93. Zbl1059.92031
  6. Foryś U. and Kolev M. (2002): Time delays in proliferation and apoptosis for solid avascular tumour. - Prep. Institute of Applied Mathematics and Mechanics, No. RW 02-10 (110), Warsaw University. Zbl1058.35107
  7. Foryś U. and Marciniak-Czochra A. (2002): Delay logistic equation with diffusion. - Proc. 8-th Nat. Conf.s Application of Mathematics in Biology and Medicine, Lajs, pp. 37-42. 
  8. Hale J.K. (1997): Theory of functional differential equations - New York: Springer. 
  9. Kirschner D. and Panetta J.C. (1998): Modeling immunotherapy of the tumor-immune interaction - J. Math. Biol., Vol. 37, No. 3, pp. 235-252. Zbl0902.92012
  10. Kuang Y. (1993): Delay Differerntial Equations with Applications in Population Dynamics - London: Academic Press. 
  11. Kuznetsov V.A. and Taylor M.A. (1994): Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysis. - Bull. Math. Biol., Vol. 56, No. 2, pp. 295-321. Zbl0789.92019
  12. Mayer H., Zänker K.S. and der Heiden U. (1995) A basic mathematical model of the immune response. - Chaos, Vol. 5, No. 1, pp. 155-161. 
  13. Perko L. (1991): Differential Equations and Dynamical Systems - New York: Springer. Zbl0717.34001
  14. Waniewski J. and Zhivkov P. (2002): A simple mathematical model for tumour-immune system interactions. - Proc. 8-th Nat. Conf. Application of Mathematics in Biology and Medicine, LAjs, pp. 149-154. 

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