Amy Wu, David Liao, Vlamimir Kirilin, Ke-Chih Lin, Gonzalo Torga, Junle Qu, Liyu Liu, James C Sturm, Kenneth Pienta, Robert Austin
{"title":"博弈论视角下的癌症休眠与临界。","authors":"Amy Wu, David Liao, Vlamimir Kirilin, Ke-Chih Lin, Gonzalo Torga, Junle Qu, Liyu Liu, James C Sturm, Kenneth Pienta, Robert Austin","doi":"10.1186/s41236-018-0008-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>We explore here the dynamics of host-cancer cell populations in the presence of (1) payoffs gradients and (2) perturbations due to cell migration.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":92184,"journal":{"name":"Cancer convergence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876693/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cancer dormancy and criticality from a game theory perspective.\",\"authors\":\"Amy Wu, David Liao, Vlamimir Kirilin, Ke-Chih Lin, Gonzalo Torga, Junle Qu, Liyu Liu, James C Sturm, Kenneth Pienta, Robert Austin\",\"doi\":\"10.1186/s41236-018-0008-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>We explore here the dynamics of host-cancer cell populations in the presence of (1) payoffs gradients and (2) perturbations due to cell migration.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":92184,\"journal\":{\"name\":\"Cancer convergence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876693/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer convergence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41236-018-0008-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/1/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer convergence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41236-018-0008-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/1/22 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
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 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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
