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一种用于探索 EGFR 过表达在肿瘤发生中的作用的 3D 多尺度模型。

A 3D Multiscale Model to Explore the Role of EGFR Overexpression in Tumourigenesis.

机构信息

Division of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden.

出版信息

Bull Math Biol. 2019 Jul;81(7):2323-2344. doi: 10.1007/s11538-019-00607-y. Epub 2019 Apr 23.

Abstract

The epidermal growth factor receptor (EGFR) signalling cascade is one of the main pathways that regulate the survival and division of mammalian cells. It is also one of the most altered transduction pathways in cancer. Acquired mutations in the EGFR/ERK pathway can cause the overexpression of EGFR on the surface of the cell, while others downregulate the inactivation of switched on intracellular proteins such as Ras and Raf. This upregulates the activity of ERK and promotes cell division. We develop a 3D multiscale model to explore the role of EGFR overexpression on tumour initiation. In this model, cells are described as individual objects that move, interact, divide, proliferate, and die by apoptosis. We use Brownian Dynamics to describe the extracellular and intracellular regulations of cells as well as the spatial and stochastic effects influencing them. The fate of each cell depends on the number of active transcription factors in the nucleus. We use numerical simulations to investigate the individual and combined effects of mutations on the intracellular regulation of individual cells. Next, we show that the distance between active receptors increase the level of EGFR/ERK signalling. We demonstrate the usefulness of the model by quantifying the impact of mutational alterations in the EGFR/ERK pathway on the growth rate of in silico tumours.

摘要

表皮生长因子受体(EGFR)信号级联是调节哺乳动物细胞存活和分裂的主要途径之一。它也是癌症中改变最明显的转导途径之一。EGFR/ERK 途径中的获得性突变可导致细胞表面 EGFR 的过度表达,而其他突变则下调细胞内蛋白如 Ras 和 Raf 的失活。这会上调 ERK 的活性并促进细胞分裂。我们开发了一个 3D 多尺度模型来探索 EGFR 过表达对肿瘤起始的作用。在这个模型中,细胞被描述为可以移动、相互作用、分裂、增殖和通过细胞凋亡死亡的单个对象。我们使用布朗动力学来描述细胞的细胞外和细胞内调节以及影响它们的空间和随机效应。每个细胞的命运取决于细胞核中活跃转录因子的数量。我们使用数值模拟来研究突变对单个细胞细胞内调节的个体和综合影响。接下来,我们表明,活性受体之间的距离增加了 EGFR/ERK 信号的水平。我们通过量化 EGFR/ERK 途径中的突变改变对虚拟肿瘤生长速度的影响来证明该模型的有用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0041/6612322/a59ef74b7741/11538_2019_607_Fig1_HTML.jpg

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