title: Development of a population of cancer cells: Observation and modeling by a Mixed Spatial Evolutionary Games approach.
abstract: Living cells, like whole living organisms during evolution, communicate with their neighbors, interact with the environment, divide, change their phenotypes, and eventually die. The development of specific ways of communication (through signaling molecules and receptors) allows some cellular subpopulations to survive better, to coordinate their physiological status, and during embryonal development to create tissues and organs or in some conditions to become tumors. Populations of cells cultured in vitro interact similarly, also competing for space and nutrients and stimulating each other to better survive or to die. The results of these intercellular interactions of different types seem to be good examples of biological evolutionary games, and have been the subjects of simulations by the methods of evolutionary game theory where individual cells are treated as players. Here we present examples of intercellular contacts in a population of living human cancer HeLa cells cultured in vitro and propose an evolutionary game theory approach to model the development of such populations. We propose a new technique termed Mixed Spatial Evolutionary Games (MSEG) which are played on multiple lattices corresponding to the possible cellular phenotypes which gives the possibility of simulating and investigating the effects of heterogeneity at the cellular level in addition to the population level. Analyses performed with MSEG suggested different ways in which cellular populations develop in the case of cells communicating directly and through factors released to the environment.
authors.affiliation: Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland. Electronic address: andrzej.swierniak@polsl.pl.
authors.forename: Andrzej
authors.initials: A
authors.lastname: Świerniak
authors.affiliation: Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland.
authors.forename: Michał
authors.initials: M
authors.lastname: Krześlak
authors.affiliation: Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Student
authors.affiliation: Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland.
authors.forename: Joanna
authors.initials: J
authors.lastname: Rzeszowska-Wolny
mesh_terms: D005075:Biological Evolution; D002450:Cell Communication; D049109:Cell Proliferation; D005716:Game Theory; D006367:HeLa Cells; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000473:pathology*; D010641:Phenotype; D011336:Probability; D013997:Time Factors
keywords: Biomathematical modeling; Evolutionary games; Intercellular communication; Living cell heterogeneity; Spatial effects; Tumor development