title: What can be learned from a chaotic cancer model?
abstract: A simple model of three competing cell populations (host, immune and tumor cells) is revisited by using a topological analysis and computing observability coefficients. Our aim is to show that a non-conventional analysis might suggest new trends in understanding the interactions of some tumor cells and their environment. The action of some parameter values on the resulting dynamics is investigated. Our results are related to some clinical features, suggesting that this model thus captures relevant phenomena to cell interactions.
authors: CORIA-Université de Rouen, Av. de l'Université, BP 12, F-76801 Saint-Etienne du Rouvray cedex, France. Christophe.Letellier@coria.fr
authors: C
authors: C
authors: Letellier
authors: F
authors: F
authors: Denis
authors: L A
authors: LA
authors: Aguirre
mesh_terms: D002455:Cell Division; D006801:Humans; D016246:Lymphocytes, Tumor-Infiltrating / Q000276:immunology; D008954:Models, Biological; D009369:Neoplasms / Q000276:immunology / Q000473:pathology*; D017711:Nonlinear Dynamics; D059016:Tumor Microenvironment