Archetti Marco
School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
J Theor Biol. 2016 May 7;396:191-203. doi: 10.1016/j.jtbi.2016.02.027. Epub 2016 Feb 27.
Cancer cells produce growth factors that diffuse and sustain tumour proliferation, a form of cooperation that can be studied using mathematical models of public goods in the framework of evolutionary game theory. Cell populations, however, form heterogeneous networks that cannot be described by regular lattices or scale-free networks, the types of graphs generally used in the study of cooperation. To describe the dynamics of growth factor production in populations of cancer cells, I study public goods games on Voronoi networks, using a range of non-linear benefits that account for the known properties of growth factors, and different types of diffusion gradients. The results are surprisingly similar to those obtained on regular graphs and different from results on scale-free networks, revealing that network heterogeneity per se does not promote cooperation when public goods diffuse beyond one-step neighbours. The exact shape of the diffusion gradient is not crucial, however, whereas the type of non-linear benefit is an essential determinant of the dynamics. Public goods games on Voronoi networks can shed light on intra-tumour heterogeneity, the evolution of resistance to therapies that target growth factors, and new types of cell therapy.
癌细胞会产生生长因子,这些因子扩散并维持肿瘤增殖,这是一种合作形式,可在进化博弈论框架内使用公共物品的数学模型进行研究。然而,细胞群体形成的是异质网络,无法用规则晶格或无标度网络来描述,而这两种类型的图通常用于合作研究。为了描述癌细胞群体中生长因子产生的动态过程,我研究了Voronoi网络上的公共物品博弈,使用了一系列非线性收益来考虑生长因子的已知特性以及不同类型的扩散梯度。结果惊人地类似于在规则图上获得的结果,且与无标度网络上的结果不同,这表明当公共物品扩散到一步邻居之外时,网络异质性本身并不会促进合作。然而,扩散梯度的确切形状并不关键,而非线性收益的类型是动态过程的一个重要决定因素。Voronoi网络上的公共物品博弈可以揭示肿瘤内异质性、对靶向生长因子疗法的抗性进化以及新型细胞疗法。