title: Evolutionary emergence of angiogenesis in avascular tumors using a spatial public goods game.
abstract: Natural selection in cancer often results in the emergence of increasingly malignant tumor cells that display many if not all of the hallmarks of cancer. One of the most important traits acquired during cancer progression is angiogenesis. Tumor cells capable of secreting pro-angiogenic factors can be seen as cooperators where the improved oxygenation, nutrient delivery and waste disposal resulting from angiogenesis could be seen as a public good. Under this view, the relatively costly secretion of molecular signals required to orchestrate angiogenesis would be undertaken exclusively by cooperating tumor cells but the benefits of angiogenesis would be felt by neighboring tumor cells regardless of their contribution to the process. In this work we detail a mathematical model to better understand how clones capable of secreting pro-angiogenic factors can emerge in a tumor made of non-cooperative tumor cells. Given the importance of the spatial configuration of the tumor in determining the efficacy of the secretion of pro-angiogenic factors as well as the benefits of angiogenesis we have developed a spatial game theoretic approach where interactions and public good diffusion are described by graphs. The results show that structure of the population affects the evolutionary dynamics of the pro-angiogenic clone. Specifically, when the benefit of angiogenesis is represented by sigmoid function with regards to the number of pro-angiogenic clones then the probability of the coexistence of pro-angiogenic and angiogenesis-neutral clones increases. Our results demonstrate that pro-angiogenic clone equilibrates into clusters that appear from surrounding vascular tissues towards the center of tumor. These clusters appear notably less dense after anti-angiogenic therapy.
authors.affiliation: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
authors.forename: Javad
authors.initials: J
authors.lastname: Salimi Sartakhti
authors.affiliation: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
authors.forename: Mohammad Hossein
authors.initials: MH
authors.lastname: Manshaei
authors.affiliation: Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States of America.
authors.forename: David
authors.identifier: http://orcid.org/0000-0002-8527-0776
authors.initials: D
authors.lastname: Basanta
authors.affiliation: National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.|School of Biological Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran.
authors.forename: Mehdi
authors.initials: M
authors.lastname: Sadeghi
mesh_terms: D020533:Angiogenesis Inhibitors / Q000627:therapeutic use; D005075:Biological Evolution; D003198:Computer Simulation; D005716:Game Theory; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000098:blood supply* / Q000188:drug therapy / Q000473:pathology / Q000503:physiopathology; D009389:Neovascularization, Pathologic / Q000188:drug therapy / Q000473:pathology / Q000503:physiopathology; D017711:Nonlinear Dynamics; D010641:Phenotype; D059016:Tumor Microenvironment / Q000187:drug effects / Q000502:physiology
chemical_list: D020533:Angiogenesis Inhibitors