Mathematical modelling of cancer cell evolution and plasticity

IF 6 2区 生物学 Q1 CELL BIOLOGY
Chloé Colson, Frederick JH. Whiting, Ann-Marie Baker, Trevor A. Graham
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引用次数: 0

Abstract

In this review, we argue that mathematical modelling is an essential tool for understanding cancer cell evolution and phenotypic plasticity. We show that mathematical models enable us to reconstruct time-dependent tumour evolutionary dynamics from temporally-restricted biological data. In their ability to capture complex biological processes, they also serve as a means for in silico experimentation. In particular, they allow us to investigate different biological hypotheses and generate experimentally-testable predictions about underlying mechanisms of phenotype evolution and treatment resistance. Finally, mathematical models can reveal which biological data is informative, and, in combination with our understanding of which biological hypotheses need to be tested, they can guide experimental and clinical trial design.
癌细胞进化和可塑性的数学建模
在这篇综述中,我们认为数学建模是理解癌细胞进化和表型可塑性的重要工具。我们表明,数学模型使我们能够重建时间依赖的肿瘤进化动力学从时间限制的生物数据。在捕捉复杂生物过程的能力上,它们也可以作为计算机实验的一种手段。特别是,它们使我们能够研究不同的生物学假设,并产生关于表型进化和治疗抗性的潜在机制的实验可测试的预测。最后,数学模型可以揭示哪些生物学数据是有用的,并且,结合我们对哪些生物学假设需要测试的理解,它们可以指导实验和临床试验设计。
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来源期刊
Current Opinion in Cell Biology
Current Opinion in Cell Biology 生物-细胞生物学
CiteScore
14.60
自引率
1.30%
发文量
79
审稿时长
93 days
期刊介绍: Current Opinion in Cell Biology (COCEBI) is a highly respected journal that specializes in publishing authoritative, comprehensive, and systematic reviews in the field of cell biology. The journal's primary aim is to provide a clear and readable synthesis of the latest advances in cell biology, helping specialists stay current with the rapidly evolving field. Expert authors contribute to the journal by annotating and highlighting the most significant papers from the extensive body of research published annually, offering valuable insights and saving time for readers by distilling key findings. COCEBI is part of the Current Opinion and Research (CO+RE) suite of journals, which leverages the legacy of editorial excellence, high impact, and global reach to ensure that the journal is a widely read resource integral to scientists' workflow. It is published by Elsevier, a publisher known for its commitment to excellence in scientific publishing and the communication of reproducible biomedical research aimed at improving human health. The journal's content is designed to be an invaluable resource for a diverse audience, including researchers, lecturers, teachers, professionals, policymakers, and students.
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