An evolutionary hybrid cellular automaton model of solid tumour growth
An evolutionary hybrid cellular automaton model of solid tumour growth
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DOI：
10.1016/j.jtbi.2007.01.027
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发表时间：
2007-06-21
影响因子：
2
通讯作者：
Anderson, A. R. A.
中科院分区：
文献类型：
--
作者：
Gerlee, P.;Anderson, A. R. A.
我们提出了一个实体肿瘤生长的元胞自动机模型，其中每个细胞都配备了一个微环境响应网络。该网络使用前馈人工神经网络进行建模，该网络将环境变量作为输入，并从这些变量确定细胞行为作为输出。网络的响应由网络中的连接权重和阈值确定，这些权重和阈值在细胞分裂时会发生突变。由于可用的空间和营养物质都是肿瘤的有限资源，这导致了克隆进化，只有最适合的细胞才能生存。使用这种方法，我们研究了组织氧浓度对肿瘤生长和进化动力学的影响。结果表明，氧浓度影响选择压力、细胞群体多样性和肿瘤形态。组织中的低氧浓度产生具有指状形态的肿瘤，所述指状形态包含具有小凋亡潜力的侵袭性表型，而组织中的高氧浓度产生具有圆形形态的肿瘤，所述圆形形态包含较少进化的表型。因此，组织氧浓度在形态学水平和表型水平上影响肿瘤。(C)2007爱思唯尔有限公司保留所有权利。
We propose a cellular automaton model of solid tumour growth, in which each cell is equipped with a micro-environment response network. This network is modelled using a feed-forward artificial neural network, that takes environmental variables as an input and from these determines the cellular behaviour as the output. The response of the network is determined by connection weights and thresholds in the network, which are subject to mutations when the cells divide. As both available space and nutrients are limited resources for the tumour, this gives rise to clonal evolution where only the fittest cells survive. Using this approach we have investigated the impact of the tissue oxygen concentration on the growth and evolutionary dynamics of the tumour. The results show that the oxygen concentration affects the selection pressure, cell population diversity and morphology of the tumour. A low oxygen concentration in the tissue gives rise to a tumour with a fingered morphology that contains aggressive phenotypes with a small apoptotic potential, while a high oxygen concentration in the tissue gives rise to a tumour with a round morphology containing less evolved phenotypes. The tissue oxygen concentration thus affects the tumour at both the morphological level and on the phenotype level. (C) 2007 Elsevier Ltd. All rights reserved.