4.7 Article

Game-theoretical description of the go-or-grow dichotomy in tumor development for various settings and parameter constellations

期刊

SCIENTIFIC REPORTS
卷 13, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41598-023-43199-3

关键词

-

向作者/读者索取更多资源

This study uses game theory to understand the decision-making process of tumors to stay at the primary site or form metastases. The authors analyze different models and find that the choice between staying or migrating depends on factors such as nutrient supply. The findings may aid in the development of treatments to prevent metastasis.
A medically important feature of several types of tumors is their ability to decide between staying at a primary site in the body or leaving it and forming metastases. The present theoretical study aims to provide a better understanding of the ultimate reasons for this so-called go-or-grow dichotomy. To that end, we use game theory, which has proven to be useful in analyzing the competition between tumors and healthy tissues or among different tumor cells. We begin by determining the game types in the Basanta-Hatzikirou-Deutsch model, depending on the parameter values. Thereafter, we suggest and analyze five modified variants of the model. For example, in the basic model, the deadlock game, Prisoner's Dilemma, and hawk-dove game can occur. The modified versions lead to several additional game types, such as battle of the sexes, route-choice, and stag-hunt games. For some game types, all cells are predicted to stay on their original site (grow phenotype), while for other types, only a certain fraction stay and the other cells migrate away (go phenotype). If the nutrient supply at a distant site is high, all the cells are predicted to go. We discuss our predictions in terms of the pros and cons of caloric restriction and limitations of the supply of vitamins or methionine. Our results may help devise treatments to prevent metastasis.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据