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
{"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":"2 1","pages":"1"},"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}
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.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detecting heterogeneity in and between breast cancer cell lines. Cancer dormancy and criticality from a game theory perspective. Non-randomness of the anatomical distribution of tumors. A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer. Distinguishing mechanisms underlying EMT tristability.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1