Cancer dormancy and criticality from a game theory perspective
Author(s): Wu, Amy; Liao, David; Kirilin, Vlamimir; Lin, Ke-Chih; Torga, Gonzalo; et al
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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. |
Publication Date: | 22-Jan-2018 |
DOI: | doi:10.1186/s41236-018-0008-0 |
EISSN: | 2366-6196 |
Keywords: | cancer, dormancy, game theory, perturbations, simulation |
Language: | en |
Type of Material: | Journal Article |
Journal/Proceeding Title: | Cancer Convergence |
Version: | Final published version. This is an open access article. |
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