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Simulation of avascular tumor growth by agent-based game model involving phenotype-phenotype interactions

机译:通过涉及表型-表型相互作用的基于代理的博弈模型模拟血管肿瘤的生长

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摘要

All tumors, both benign and metastatic, undergo an avascular growth stage with nutrients supplied by the surrounding tissue. This avascular growth process is much easier to carry out in more qualitative and quantitative experiments starting from tumor spheroids in vitro with reliable reproducibility. Essentially, this tumor progression would be described as a sequence of phenotypes. Using agent-based simulation in a two-dimensional spatial lattice, we constructed a composite growth model in which the phenotypic behavior of tumor cells depends on not only the local nutrient concentration and cell count but also the game among cells. Our simulation results demonstrated that in silico tumors are qualitatively similar to those observed in tumor spheroid experiments. We also found that the payoffs in the game between two living cell phenotypes can influence the growth velocity and surface roughness of tumors at the same time. Finally, this current model is flexible and can be easily extended to discuss other situations, such as environmental heterogeneity and mutation.
机译:所有的肿瘤,包括良性和转移性肿瘤,都通过周围组织提供的营养物质进入无血管生长阶段。从更可靠的可再生性出发,从体外的肿瘤球体开始,在更定性和定量的实验中,这种无血管生长过程更容易进行。本质上,该肿瘤进展将被描述为表型序列。在二维空间格子中使用基于代理的模拟,我们构建了一个复合生长模型,其中肿瘤细胞的表型行为不仅取决于局部营养物浓度和细胞数,而且还取决于细胞之间的博弈。我们的模拟结果表明,计算机硅肿瘤在质量上与在肿瘤球体实验中观察到的相似。我们还发现,两种活细胞表型之间的博弈收益可以同时影响肿瘤的生长速度和表面粗糙度。最后,该当前模型非常灵活,可以轻松扩展以讨论其他情况,例如环境异质性和突变。

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