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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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dc.contributor.authorWu, Amy-
dc.contributor.authorLiao, David-
dc.contributor.authorKirilin, Vlamimir-
dc.contributor.authorLin, Ke-Chih-
dc.contributor.authorTorga, Gonzalo-
dc.contributor.authorQu, Junle-
dc.contributor.authorLiu, Liyu-
dc.contributor.authorSturm, James C-
dc.contributor.authorPienta, Kenneth-
dc.contributor.authorAustin, Robert H.-
dc.date.accessioned2024-01-19T20:34:28Z-
dc.date.available2024-01-19T20:34:28Z-
dc.date.issued2018-01-22en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr13x83k80-
dc.description.abstractBackground: 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.en_US
dc.languageenen_US
dc.language.isoen_USen_US
dc.relation.ispartofCancer Convergenceen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.subjectcancer, dormancy, game theory, perturbations, simulationen_US
dc.titleCancer dormancy and criticality from a game theory perspectiveen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1186/s41236-018-0008-0-
dc.identifier.eissn2366-6196-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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