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评估突变型p53肿瘤细胞对反复缺氧的选择性优势。

Estimating the selective advantage of mutant p53 tumour cells to repeated rounds of hypoxia.

作者信息

Gammack D, Byrne H M, Lewis C E

机构信息

Division of Theoretical Mechanics, School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, U.K.

出版信息

Bull Math Biol. 2001 Jan;63(1):135-66. doi: 10.1006/bulm.2000.0210.

DOI:10.1006/bulm.2000.0210
PMID:11146880
Abstract

The tumour suppressor gene, p53, plays an important role in tumour development. Under low levels of oxygen (hypoxia), cells expressing wild-type p53 undergo programmed cell death (apoptosis), whereas cells expressing mutations in the p53 gene may survive and express angiogenic growth factors that stimulate tumour vascularization. Given that cells expressing mutations in the p53 gene have been observed in many forms of human tumour, it is important to understand how both wild-type and mutant cells react to hypoxic conditions. In this paper a mathematical model is presented to investigate the effects of alternating periods of hypoxia and normoxia (normal oxygen levels) on a population of wild-type and mutant p53 tumour cells. The model consists of three coupled ordinary differential equations that describe the densities of the two cell types and the oxygen concentration and, as such, may describe the growth of avascular tumours in vitro and/or in vivo. Numerical and analytical techniques are used to determine how changes in the system parameters influence the time at which mutant cells become dominant within the population. A feedback mechanism, which switches off the oxygen supply when the total cell density exceeds a threshold value, is introduced into the model to investigate the impact that vessel collapse (and the associated hypoxia) has on the time at which the mutant cells become dominant within vascular tumours growing in vivo. Using the model we can predict the time it takes for a subpopulation of mutant p53 tumour cells to become the dominant population within either an avascular tumour or a localized region of a vascular tumour. Based on independent experimental results, our model suggests that the mutant population becomes dominant more quickly in vivo than in vitro (12 days vs 17 days).

摘要

肿瘤抑制基因p53在肿瘤发展过程中发挥着重要作用。在低氧水平(缺氧)情况下,表达野生型p53的细胞会经历程序性细胞死亡(凋亡),而表达p53基因突变的细胞可能存活并表达刺激肿瘤血管生成的血管生成生长因子。鉴于在多种人类肿瘤中都观察到了表达p53基因突变的细胞,了解野生型和突变型细胞对缺氧条件的反应就显得尤为重要。本文提出了一个数学模型,用于研究缺氧和常氧(正常氧水平)交替周期对野生型和突变型p53肿瘤细胞群体的影响。该模型由三个耦合的常微分方程组成,描述了两种细胞类型的密度以及氧浓度,因此可以描述体外和/或体内无血管肿瘤的生长情况。运用数值和分析技术来确定系统参数的变化如何影响突变细胞在群体中占据主导地位的时间。将一种反馈机制引入模型,当总细胞密度超过阈值时关闭氧气供应,以研究血管塌陷(以及相关的缺氧)对体内生长的血管肿瘤中突变细胞占据主导地位的时间的影响。利用该模型,我们可以预测突变型p53肿瘤细胞亚群在无血管肿瘤或血管肿瘤局部区域内成为优势群体所需的时间。基于独立的实验结果,我们的模型表明,突变群体在体内比在体外更快占据主导地位(分别为12天和17天)。

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Estimating the selective advantage of mutant p53 tumour cells to repeated rounds of hypoxia.评估突变型p53肿瘤细胞对反复缺氧的选择性优势。
Bull Math Biol. 2001 Jan;63(1):135-66. doi: 10.1006/bulm.2000.0210.
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引用本文的文献

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Stochastic and Deterministic Models of Cellular p53 Regulation.细胞 p53 调控的随机与确定性模型。
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2
A mathematical model for the onset of avascular tumor growth in response to the loss of p53 function.一种响应p53功能丧失的无血管肿瘤生长起始的数学模型。
Cancer Inform. 2007 Feb 17;2:163-88.
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