Literature DB >> 27686708

Integrating evolutionary game theory into an agent-based model of ductal carcinoma in situ: Role of gap junctions in cancer progression.

Negin Malekian1, Jafar Habibi2, Mohammad Hossein Zangooei2, Hojjat Aghakhani2.   

Abstract

BACKGROUND AND
OBJECTIVE: There are many cells with various phenotypic behaviors in cancer interacting with each other. For example, an apoptotic cell may induce apoptosis in adjacent cells. A living cell can also protect cells from undergoing apoptosis and necrosis. These survival and death signals are propagated through interaction pathways between adjacent cells called gap junctions. The function of these signals depends on the cellular context of the cell receiving them. For instance, a receiver cell experiencing a low level of oxygen may interpret a received survival signal as an apoptosis signal. In this study, we examine the effect of these signals on tumor growth.
METHODS: We make an evolutionary game theory component in order to model the signal propagation through gap junctions. The game payoffs are defined as a function of cellular context. Then, the game theory component is integrated into an agent-based model of tumor growth. After that, the integrated model is applied to ductal carcinoma in situ, a type of early stage breast cancer. Different scenarios are explored to observe the impact of the gap junction communication and parameters of the game theory component on cancer progression. We compare these scenarios by using the Wilcoxon signed-rank test.
RESULTS: The Wilcoxon signed-rank test succeeds in proving a significant difference between the tumor growth of the model before and after considering the gap junction communication. The Wilcoxon signed-rank test also proves that the tumor growth significantly depends on the oxygen threshold of turning survival signals into apoptosis.
CONCLUSIONS: In this study, the gap junction communication is modeled by using evolutionary game theory to illustrate its role at early stage cancers such as ductal carcinoma in situ. This work indicates that the gap junction communication and the oxygen threshold of turning survival signals into apoptosis can notably affect cancer progression.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Agent-based modeling; Cancer modeling; Ductal carcinoma; Evolutionary game theory

Mesh:

Year:  2016        PMID: 27686708     DOI: 10.1016/j.cmpb.2016.08.011

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Hybrid multiscale modeling and prediction of cancer cell behavior.

Authors:  Mohammad Hossein Zangooei; Jafar Habibi
Journal:  PLoS One       Date:  2017-08-28       Impact factor: 3.240

2.  Modeling and Analyzing Stem-Cell Therapy toward Cancer: Evolutionary Game Theory Perspective.

Authors:  Zahra Veisi; Heydar Khadem; Samin Ravanshadi
Journal:  Iran J Public Health       Date:  2020-01       Impact factor: 1.429

3.  Factors Influencing Private Hospitals' Participation in the Innovation of Biomedical Engineering Industry: A Perspective of Evolutionary Game Theory.

Authors:  Weiwei Liu; Jianing Yang; Kexin Bi
Journal:  Int J Environ Res Public Health       Date:  2020-10-13       Impact factor: 3.390

  3 in total

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