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乳腺肿瘤中转化上皮细胞与成纤维细胞/肌成纤维细胞的相互作用:数学模型与实验

Transformed epithelial cells and fibroblasts/myofibroblasts interaction in breast tumor: a mathematical model and experiments.

作者信息

Kim Yangjin, Wallace Julie, Li Fu, Ostrowski Michael, Friedman Avner

机构信息

Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USA.

出版信息

J Math Biol. 2010 Sep;61(3):401-21. doi: 10.1007/s00285-009-0307-2. Epub 2009 Nov 10.

DOI:10.1007/s00285-009-0307-2
PMID:19902212
Abstract

It is well known that tumor and its microenvironment, or stroma, interact with each other and that this interaction plays a critical role in tumor initiation, growth, and metastasis. This interaction consists of complex relations between tumor cells, stromal cells such as fibroblasts, epithelial cells and immunocytes, the vascular system, the extracellular matrix, and cytokines secreted by the cells. Understanding these relationships may lead to new therapeutic approaches to cancer. In the present paper, we consider tumor-stroma crosstalk in a simple in vitro situation which involves interaction between tumor epithelial cells from breast cancer and a microenvironment consisting of just fibroblasts. The two populations of cells are separated by a semi-permeable membrane that allows only cytokines to cross over. We develop a mathematical model that includes two critical growth factors: TGF-beta, produced by the tumor cells, and EGF, secreted by the fibroblasts. The TGF-beta modifies the microenvironment by transforming fibroblasts into myofibroblasts. Myofibroblasts secrete higher concentrations of EGF than fibroblasts, thereby, increasing the proliferation of tumor cells. Thus already in this simple setup one sees a mutual interaction between tumor cells and their microenvironment. We conducted experiments which show good agreement with the model's simulations, hence confirming the model's ability to predict aspects of tumor cell behavior in response to signaling from fibroblasts.

摘要

众所周知,肿瘤与其微环境(即基质)相互作用,且这种相互作用在肿瘤的起始、生长和转移中起着关键作用。这种相互作用包括肿瘤细胞、诸如成纤维细胞、上皮细胞和免疫细胞等基质细胞、血管系统、细胞外基质以及细胞分泌的细胞因子之间的复杂关系。了解这些关系可能会带来新的癌症治疗方法。在本文中,我们考虑在一种简单的体外情况下的肿瘤 - 基质相互作用,这种情况涉及乳腺癌肿瘤上皮细胞与仅由成纤维细胞组成的微环境之间的相互作用。这两种细胞群体由半透膜分隔,该半透膜仅允许细胞因子通过。我们开发了一个数学模型,该模型包括两种关键生长因子:肿瘤细胞产生的转化生长因子 -β(TGF -β)和成纤维细胞分泌的表皮生长因子(EGF)。TGF -β通过将成纤维细胞转化为肌成纤维细胞来改变微环境。肌成纤维细胞比成纤维细胞分泌更高浓度的EGF,从而增加肿瘤细胞的增殖。因此,在这个简单的设置中就已经可以看到肿瘤细胞与其微环境之间的相互作用。我们进行的实验与模型模拟结果吻合良好,从而证实了该模型预测肿瘤细胞对成纤维细胞信号作出反应行为方面的能力。

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A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer.一种与基质相关的基因特征可预测乳腺癌对新辅助化疗的耐药性。
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A methodology for performing global uncertainty and sensitivity analysis in systems biology.一种在系统生物学中进行全局不确定性和敏感性分析的方法。
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Multiscale modeling of collective cell migration elucidates the mechanism underlying tumor-stromal interactions in different spatiotemporal scales.多尺度建模的细胞群体迁移阐明肿瘤基质相互作用的机制在不同时空尺度。
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Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model.通过数学模型研究 PyMT 小鼠乳腺癌模型中的关键细胞类型和分子动态。
PLoS Comput Biol. 2022 Mar 16;18(3):e1009953. doi: 10.1371/journal.pcbi.1009953. eCollection 2022 Mar.
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The impact of the spatial heterogeneity of resistant cells and fibroblasts on treatment response.耐药细胞和成纤维细胞空间异质性对治疗反应的影响。
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