Suppr超能文献

一种响应p53功能丧失的无血管肿瘤生长起始的数学模型。

A mathematical model for the onset of avascular tumor growth in response to the loss of p53 function.

作者信息

Levine Howard A, Smiley Michael W, Tucker Anna L, Nilsen-Hamilton Marit

机构信息

Department of Mathematics, Iowa State University, Ames, Iowa, 50011, USA.

出版信息

Cancer Inform. 2007 Feb 17;2:163-88.

Abstract

We present a mathematical model for the formation of an avascular tumor based on the loss by gene mutation of the tumor suppressor function of p53. The wild type p53 protein regulates apoptosis, cell expression of growth factor and matrix metalloproteinase, which are regulatory functions that many mutant p53 proteins do not possess. The focus is on a description of cell movement as the transport of cell population density rather than as the movement of individual cells. In contrast to earlier works on solid tumor growth, a model is proposed for the initiation of tumor growth. The central idea, taken from the mathematical theory of dynamical systems, is to view the loss of p53 function in a few cells as a small instability in a rest state for an appropriate system of differential equations describing cell movement. This instability is shown (numerically) to lead to a second, spatially inhomogeneous, solution that can be thought of as a solid tumor whose growth is nutrient diffusion limited. In this formulation, one is led to a system of nine partial differential equations. We show computationally that there can be tumor states that coexist with benign states and that are highly unstable in the sense that a slight increase in tumor size results in the tumor occupying the sample region while a slight decrease in tumor size results in its ultimate disappearance.

摘要

我们基于p53肿瘤抑制功能因基因突变而丧失,提出了一种无血管肿瘤形成的数学模型。野生型p53蛋白调节细胞凋亡、生长因子的细胞表达和基质金属蛋白酶,而许多突变型p53蛋白不具备这些调节功能。重点在于将细胞运动描述为细胞群体密度的传输,而非单个细胞的运动。与早期关于实体瘤生长的研究不同,本文提出了一个肿瘤生长起始的模型。其核心思想源自动力系统的数学理论,即将少数细胞中p53功能的丧失视为描述细胞运动的适当微分方程组静止状态下的一个小扰动。数值结果表明,这种扰动会导致另一个空间非均匀解,可将其视为生长受营养物质扩散限制的实体瘤。在此模型中,会导出一个包含九个偏微分方程的方程组。我们通过计算表明,可能存在与良性状态共存的肿瘤状态,且这些状态高度不稳定,即肿瘤大小稍有增加就会占据样本区域,而肿瘤大小稍有减小则会最终消失。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验