A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors

Hua Tan, Fuhai Li, Jaykrishna Singh, Xiaofeng Xia, D. Cridebring, Jian Yang, Ming Zhan, Stephen T. C. Wong, Jiguang Bao, Jinwen Ma
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引用次数: 10

Abstract

The recent discovery of cancer stem cells (CSCs), or tumor initiating cells (TICs), in a variety of cancers, including breast cancer, provides a key to understand the processes of tumor initiation, progression and recurrence. Here, we present a three-dimensional (3D) multiscale model of the CSC-initiated tumor growth, which takes into account essential microenvironmental (mE) factors (e.g. nutrients, extracellular matrix) and some important biological traits (e.g. angiogenesis, cell apoptosis, and necrosis) and addresses tumor growth from three different levels, i.e. molecular, cellular and tissue levels. At the molecular level, mathematical diffusion-reaction equations are used to understand the dynamics of mE factors. At the cellular level, a cellular automaton is designed to simulate the life cycle and behaviors of individual cells. At the tissue level, a computer graphics method is used to illustrate the geometry of the whole tumor. The simulation study based on the proposed model indicates that the content of CSCs in a tumor mass plays an essential role in driving tumor growth. The simulation also highlights the significance of developing therapeutic agents that can deliver drug molecules into the interior of the tumor, where most of CSCs tend to reside. The simulation study on the breast cancer xenografts reveals that the mouse tumor initiated from a mixed population of human CSCs and other tumor cells show a faster growth rate, while a weaker proliferation and aggressiveness than that initiated from a pure human CSCs population. These simulation results are mostly consistent with our experimental observations. The mathematical model thus provides a new framework for the modeling and simulation studies of CSC-initiated cancer development.
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一个三维多尺度模型来模拟癌症干细胞和肿瘤微环境因素之间相互作用的肿瘤进展
最近在包括乳腺癌在内的多种癌症中发现了癌症干细胞(CSCs)或肿瘤起始细胞(tic),为了解肿瘤的起始、进展和复发过程提供了关键。在这里,我们提出了一个三维(3D)多尺度的csc启动肿瘤生长模型,该模型考虑了必要的微环境(mE)因素(如营养物质、细胞外基质)和一些重要的生物学特性(如血管生成、细胞凋亡和坏死),并从三个不同的水平(即分子、细胞和组织水平)处理肿瘤生长。在分子水平上,数学扩散反应方程被用来理解mE因子的动力学。在细胞水平上,细胞自动机被设计用来模拟单个细胞的生命周期和行为。在组织水平上,使用计算机图形学方法来说明整个肿瘤的几何形状。基于该模型的模拟研究表明,肿瘤组织中CSCs的含量对肿瘤的生长起着至关重要的作用。模拟还强调了开发能够将药物分子输送到肿瘤内部的治疗剂的重要性,大多数CSCs都倾向于驻留在肿瘤内部。对乳腺癌异种移植物的模拟研究表明,由人CSCs和其他肿瘤细胞混合群体引发的小鼠肿瘤生长速度更快,但增殖和侵袭性较纯人CSCs群体弱。这些模拟结果与我们的实验观察结果基本一致。因此,该数学模型为csc引发的癌症发展的建模和模拟研究提供了一个新的框架。
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