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Modeling immune cell behavior across scales in cancer.
WIREs Mechanisms of Disease ( IF 3.1 ) Pub Date : 2020-03-04 , DOI: 10.1002/wsbm.1484
Sahak Z Makaryan 1 , Colin G Cess 1 , Stacey D Finley 2
Affiliation  

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.

中文翻译:

建模癌症中跨尺度的免疫细胞行为。

在癌症背景下,跨多个尺度的免疫细胞行为的详细机械模型提供了理解现有免疫疗法和开发更优化治疗策略所需的临床相关见解。我们重点介绍了免疫细胞的机制模型及其激活和促进​​肿瘤细胞杀伤的能力。这些模型捕捉了免疫细胞的各个方面:(a) 通过预测单个免疫细胞中细胞内信号网络的动态来进行单细胞行为,(b) 肿瘤和免疫细胞之间的多细胞相互作用,以及 (c) 跨空间和不同的多尺度动态生物组织的层次。计算模型可以提供对免疫细胞行为和免疫治疗策略的详细定量洞察。然而,文献中存在空白,
更新日期:2020-03-04
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