Cancer dormancy and criticality from a game theory perspective

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 underst...

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Autores principales: Wu, Amy, Liao, David, Kirilin, Vlamimir, Lin, Ke-Chih, Torga, Gonzalo, Qu, Junle, Liu, Liyu, Sturm, James C., Pienta, Kenneth, Austin, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876693/
https://www.ncbi.nlm.nih.gov/pubmed/29623956
http://dx.doi.org/10.1186/s41236-018-0008-0
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author Wu, Amy
Liao, David
Kirilin, Vlamimir
Lin, Ke-Chih
Torga, Gonzalo
Qu, Junle
Liu, Liyu
Sturm, James C.
Pienta, Kenneth
Austin, Robert
author_facet Wu, Amy
Liao, David
Kirilin, Vlamimir
Lin, Ke-Chih
Torga, Gonzalo
Qu, Junle
Liu, Liyu
Sturm, James C.
Pienta, Kenneth
Austin, Robert
author_sort Wu, Amy
collection PubMed
description 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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spelling pubmed-58766932018-04-03 Cancer dormancy and criticality from a game theory perspective Wu, Amy Liao, David Kirilin, Vlamimir Lin, Ke-Chih Torga, Gonzalo Qu, Junle Liu, Liyu Sturm, James C. Pienta, Kenneth Austin, Robert Cancer Converg Commentary 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. Springer International Publishing 2018-01-22 2018 /pmc/articles/PMC5876693/ /pubmed/29623956 http://dx.doi.org/10.1186/s41236-018-0008-0 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Commentary
Wu, Amy
Liao, David
Kirilin, Vlamimir
Lin, Ke-Chih
Torga, Gonzalo
Qu, Junle
Liu, Liyu
Sturm, James C.
Pienta, Kenneth
Austin, Robert
Cancer dormancy and criticality from a game theory perspective
title Cancer dormancy and criticality from a game theory perspective
title_full Cancer dormancy and criticality from a game theory perspective
title_fullStr Cancer dormancy and criticality from a game theory perspective
title_full_unstemmed Cancer dormancy and criticality from a game theory perspective
title_short Cancer dormancy and criticality from a game theory perspective
title_sort cancer dormancy and criticality from a game theory perspective
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876693/
https://www.ncbi.nlm.nih.gov/pubmed/29623956
http://dx.doi.org/10.1186/s41236-018-0008-0
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