Monitoring noise-resonant effects in cancer growth influenced by external fluctuations and.pdf
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Monitoring noise-resonant effects in cancer growth influenced by external fluctuations and
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EPJ manuscript No.
(will be inserted by the editor)
Monitoring noise-resonant effects in cancer growth influenced
by external fluctuations and periodic treatment
Alessandro Fiasconaro
123 a
, Anna Ochab–Marcinek
24
, Bernardo Spagnolo
3
, and Ewa Gudowska–Nowak
12
1
Mark Kac Complex Systems Research Center, Jagellonian University, Reymonta 4, 30-059 Krako?w, Poland.
2
Marian Smoluchowski Institute of Physics, Jagellonian University, Reymonta 4, 30-059 Krako?w, Poland.
3
Dipartimento di Fisica e Tecnologie Relative and CNISM, Group of Interdisciplinary Physics, Universita? di Palermo, Viale delle Scienze,
I-90128 Palermo, Italy.
4
Institut fu?r Physik, Universita?t Augsburg, Universita?tsstra?e 1, 86135 Augsburg, Germany.
May 15, 2008
Abstract. In the paper we investigate a mathematical model describing the growth of tumor in the presence of im-
mune response of a host organism. The dynamics of tumor and immune cells is based on the generic Michaelis-Menten
kinetics depicting interaction and competition between the tumor and the immune system. The appropriate phenomeno-
logical equation modeling cell-mediated immune surveillance against cancer is of the predator-prey form and exhibits
bistability within a given choice of the immune response-related parameters. Under the influence of weak external
fluctuations, the model may be analyzed in terms of a stochastic differential equation bearing the form of an over-
damped Langevin-like dynamics in the external quasi-potential represented by a double well. We analyze properties of
the system within the range of parameters for which the potential wells are of the same depth and when the additional
perturbation, modeling a periodic treatment, is insufficient to overcome the barrier height and to cause cancer extinc-
tion. In this case the presence of a small amount of noise can positively enhance the treatment, driving the system to a
s
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