Programmable models of growth and mutation of cancer-cell populations

Luca Bortolussi
(Dept. of Mathematics and Informatics, University of Trieste, Italy.)
Alberto Policriti
(Dept. of Mathematics and Informatics, University of Udine, Italy. Institute of Applied Genomics, Udine, Italy.)

In this paper we propose a systematic approach to construct mathematical models describing populations of cancer-cells at different stages of disease development. The methodology we propose is based on stochastic Concurrent Constraint Programming, a flexible stochastic modelling language. The methodology is tested on (and partially motivated by) the study of prostate cancer. In particular, we prove how our method is suitable to systematically reconstruct different mathematical models of prostate cancer growth –together with interactions with different kinds of hormone therapy– at different levels of refinement.

In Ion Petre and Erik de Vink: Proceedings Third International Workshop on Computational Models for Cell Processes (CompMod 2011), Aachen, Germany, September 10, 2011, Electronic Proceedings in Theoretical Computer Science 67, pp. 19–33.
Published: 8th September 2011.

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