肿瘤生长和进展中的宿主反应。

Invasion & metastasis Pub Date : 1996-01-01
S Michelson, J T Leith
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引用次数: 0

摘要

肿瘤的生长和进展源于复杂的控制,这些控制似乎是由肿瘤中出现的生长因子(GFs)促进的,这些生长因子在肿瘤内和周围宿主中都能找到反应性靶标。例如,碱性成纤维细胞生长因子(bFGF)和血管内皮生长因子(VEGF)都是血管生成信号,它们似乎来自实体瘤增殖边缘的基因信息上调,以应对肿瘤范围内的缺氧。如果这些信号是在不利的环境条件下产生的,即肿瘤范围内氧张力降低,那么肿瘤可能在操纵其自身环境中发挥作用。本文提出了两个问题:(1)宿主如何响应这些信号?(2)宿主的反应与肿瘤的最终生长是否存在联系?为了回答这些问题,我们在肿瘤生长的数学模型中理想化了这些自适应信号。宿主反应的特征是一种功能,它代表了宿主对肿瘤的承载能力。如果功能不变,则环境控制严格限于肿瘤形状和有丝分裂信号处理。然而,如果我们假设局部基质对这些信号的反应是宿主支持更大肿瘤的能力的增加,那么该模型描述了一个正反馈控制器。在本文中,我们总结了我们之前的研究结果,并提出了一个问题:什么样的宿主反应是合理的,它将如何影响肿瘤的最终生长?我们研究了一些特定的候选响应函数,并对它们进行了系统稳定性分析。在这个模型中,不稳定状态对应于“无限”的肿瘤生长。我们还将讨论抵消负反馈信号及其在维持肿瘤稳定性中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Host response in tumor growth and progression.

Tumor growth and progression result from complex controls that appear to be facilitated by the growth factors (GFs) which emerge from the tumor and find responsive targets both within the tumor and in the surrounding host. For example, basic fibroblast growth factor (bFGF) and vascular endothelial growth factor (VEGF) are both angiogenic signals which appear to emerge from upregulated genetic messages in the proliferating rim of a solid tumor in response to tumor-wide hypoxia. If these signals are generated in response to unfavorable environmental conditions, i.e. a tumor-wide decrease in oxygen tension, then the tumor may be playing a role in manipulating its own environment. Two questions are raised in this paper: (1) How does the host respond to such signals? (2) Is there a linkage between the host's response and the ultimate growth of the tumor? To answer these questions, we have idealized these adaptive signals within a mathematical model of tumor growth. The host response is characterized by a function which represents the host's carrying capacity for the tumor. If the function is constant, then environmental control is strictly limited to tumor shape and mitogenic signal processing. However, if we assume that the response of the local stroma to these signals is an increase in the host's ability to support an ever larger tumor, then the model describes a positive feedback controller. In this paper, we summarize our previous results and ask the question: What form of host response is reasonable, and how will it affect ultimate tumor growth? We examine some specific candidate response functions, and analyze them for system stability. In this model, unstable states correspond to 'infinite' tumor growth. We will also discuss countervailing negative feedback signals and their roles in maintaining tumor stability.

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