Dynamics of cancer progression and suppression: A novel evolutionary game theory based approach

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5367-71. doi: 10.1109/EMBC.2015.7319604.

Abstract

In this paper, a novel mathematical approach is proposed for the dynamics of progression and suppression of cancer. We define mutant cell density, ρ(μ) (μ × ρ), as a primary factor in cancer dynamics, and use logistic growth model and replicator equation for defining the dynamics of total cell density (ρ) and mutant fraction (μ), respectively. Furthermore, in the proposed model, we introduce an analytical expression for a control parameter D (drug), to suppress the proliferation of mutants with extra fitness level σ. Lastly, we present a comparison of the proposed model with some existing models of tumour growth.

MeSH terms

  • Cell Count
  • Game Theory*
  • Models, Biological*
  • Neoplasms
  • Neoplastic Processes*