Application of evolutionary games to modeling carcinogenesis.

Math Biosci Eng

Department of Automatic Control, Silesian University of Technology, 44-101 Gliwice, Poland.

Published: June 2013

AI Article Synopsis

  • The literature review focuses on mathematical modeling related to cancer development and cell population growth using evolutionary game theory.
  • The major topics covered include cytotoxin production, evasion of programmed cell death (apoptosis), growth factor production, cell movement and invasion, as well as signaling processes within and between cells.
  • The authors summarize existing research and present their own simulation results related to the dynamics and spatial patterns of these cancer processes.

Article Abstract

We review a quite large volume of literature concerning mathematical modelling of processes related to carcinogenesis and the growth of cancer cell populations based on the theory of evolutionary games. This review, although partly idiosyncratic, covers such major areas of cancer-related phenomena as production of cytotoxins, avoidance of apoptosis, production of growth factors, motility and invasion, and intra- and extracellular signaling. We discuss the results of other authors and append to them some additional results of our own simulations dealing with the possible dynamics and/or spatial distribution of the processes discussed.

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Source
http://dx.doi.org/10.3934/mbe.2013.10.873DOI Listing

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