A biophysical model of cell evolution after cytotoxic treatments: Damage, repair and cell response
Authored by M Tomezak, C Abbadie, E Lartigau, F Cleri
Date Published: 2016
DOI: 10.1016/j.jtbi.2015.10.017
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Abstract
We present a theoretical agent-based model of cell evolution under the
action of cytotoxic treatments, such as radiotherapy or chemotherapy.
The major features of cell cycle and proliferation, cell damage and
repair, and chemical diffusion are included. Cell evolution is based on
a discrete Markov chain, with cells stepping along a sequence of
discrete internal states from `normal' to `inactive'. Probabilistic laws
are introduced for each type of event a cell can undergo during its
life: duplication, arrest, senescence, damage, reparation, or death. We
adjust the model parameters on a series of cell irradiation experiments, carried out in a clinical LINAC, in which the damage and repair kinetics
of single- and double-strand breaks are followed. Two showcase
applications of the model are then presented. In the first one, we
reconstruct the cell survival curves from a number of published low- and
high-dose irradiation experiments. We reobtain a very good description
of the data without assuming the well-known linear-quadratic model, but
instead including a variable DSB repair probability. The repair
capability of the model spontaneously saturates to an exponential decay
at increasingly high doses. As a second test, we attempt to simulate the
two extreme possibilities of the so-called `bystander' effect in
radiotherapy: the `local' effect versus a `global' effect, respectively
activated by the short-range or long-range diffusion of some factor, presumably secreted by the irradiated cells. Even with an oversimplified
simulation, we could demonstrate a sizeable difference in the
proliferation rate of non-irradiated cells, the proliferation
acceleration being much larger for the global than the local effect, for
relatively small fractions of irradiated cells in the colony. (C) 2015
Elsevier Ltd. All rights reserved.
Tags
cancer
Tumor-growth
Induction
Survival
Dna
Double-strand breaks
Alpha-particles
Bystander cells
Dose-rate
Radiation