Modeling immune cell behavior across scales in cancer.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine
Sahak Z MakaryanStacey D Finley

Abstract

Detailed, mechanistic models of immune cell behavior across multiple scales in the context of cancer provide clinically relevant insights needed to understand existing immunotherapies and develop more optimal treatment strategies. We highlight mechanistic models of immune cells and their ability to become activated and promote tumor cell killing. These models capture various aspects of immune cells: (a) single-cell behavior by predicting the dynamics of intracellular signaling networks in individual immune cells, (b) multicellular interactions between tumor and immune cells, and (c) multiscale dynamics across space and different levels of biological organization. Computational modeling is shown to provide detailed quantitative insight into immune cell behavior and immunotherapeutic strategies. However, there are gaps in the literature, and we suggest areas where additional modeling efforts should be focused to more prominently impact our understanding of the complexities of the immune system in the context of cancer. This article is categorized under: Biological Mechanisms > Cell Signaling Models of Systems Properties and Processes > Mechanistic Models Models of Systems Properties and Processes > Cellular Models.

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Citations

Dec 29, 2020·PLoS Computational Biology·Colin G Cess, Stacey D Finley
Dec 31, 2020·APL Bioengineering·Sahak Z Makaryan, Stacey D Finley
Apr 3, 2021·Frontiers in Oncology·Thomas FriedrichMarco Durante
Oct 20, 2020·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Xinyuan ZhangKeyue Shen
Apr 20, 2021·Annual Review of Biomedical Engineering·Jennifer H HammelRebecca R Pompano

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Methods Mentioned

BETA
immunoprecipitation

Software Mentioned

CompuCell3D

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