Systems Biology (Methods in Molecular Biology)

(Tina Sui) #1
∂c
∂t

¼FcðÞþD

∂^2 c
∂x^2

þ

∂^2 c
∂y^2

þ

∂^2 c
∂z^2



whereDis the (effective) homogeneous and isotropic diffusion
coefficient resulting from a suitable smoothing of the heteroge-
neous character of the tissue. On the other handF(c) represents the
reaction term which accounts for the generation and disappearance
of cancer cells. The diffusive part of the equation by including
partial derivatives couples each point of tissue to the closer ones
(a communication term which is welcome in TOFT). The reaction
term instead does not contain derivatives so that it deals with what
happens to the point itself only (and internal cancer cell dynamics
which is fine for SMT). Both terms in the equation interact to have
a space-time dynamics for cancer growth. The proposed form for
the functionF(c) is the simplest one, i.e. a cubic one:

FcðÞ¼kcðÞc 1 ðÞcc 2 ðÞc 3 c

wherec 1 ,c 2 ,c 3 andkare constants with 0<c 1 <c 2 <c 3 .In
dynamical systems theory, this is a basic way to obtain bistability.
In fact the value of speciescwill settle down asymptotically in time
whether toc 1 (in our case this is zero corresponding to no cell

Fig. 1Finite elements simulation at a given time of a brain cancer cells concentration concentric isosurfaces
(indifferent colors) in a realistic NMR imported geometry


208 Christian Cherubini et al.

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