Cancer dormancy and criticality from a game theory perspective.

Cancer convergence Pub Date : 2018-01-01 Epub Date: 2018-01-22 DOI:10.1186/s41236-018-0008-0
Amy Wu, David Liao, Vlamimir Kirilin, Ke-Chih Lin, Gonzalo Torga, Junle Qu, Liyu Liu, James C Sturm, Kenneth Pienta, Robert Austin
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引用次数: 0

Abstract

Background: The physics of cancer dormancy, the time between initial cancer treatment and re-emergence after a protracted period, is a puzzle. Cancer cells interact with host cells via complex, non-linear population dynamics, which can lead to very non-intuitive but perhaps deterministic and understandable progression dynamics of cancer and dormancy.

Results: We explore here the dynamics of host-cancer cell populations in the presence of (1) payoffs gradients and (2) perturbations due to cell migration.

Conclusions: We determine to what extent the time-dependence of the populations can be quantitively understood in spite of the underlying complexity of the individual agents and model the phenomena of dormancy.

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博弈论视角下的癌症休眠与临界。
背景:癌症休眠的物理原理,即从最初的癌症治疗到经过一段较长时间后再次出现的时间,是一个谜。癌细胞通过复杂的、非线性的种群动态与宿主细胞相互作用,这可能导致非常非直觉的,但可能是确定性的和可理解的癌症和休眠的进展动态。结果:我们在这里探讨了(1)收益梯度和(2)由于细胞迁移引起的扰动存在下宿主-癌细胞群的动力学。结论:尽管个体因素具有潜在的复杂性,但我们确定了种群的时间依赖性在多大程度上可以定量理解,并对休眠现象进行了建模。
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