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复杂远场几何形状决定了具有趋化性的实体瘤生长的稳定性。

Complex Far-Field Geometries Determine the Stability of Solid Tumor Growth with Chemotaxis.

机构信息

Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL, 60616, USA.

Departments of Mathematics and Biomedical Engineering, Center for Complex Biological Systems, Chao Family Comprehensive Cancer Center, University of California at Irvine, Irvine, CA, 92617, USA.

出版信息

Bull Math Biol. 2020 Mar 12;82(3):39. doi: 10.1007/s11538-020-00716-z.

DOI:10.1007/s11538-020-00716-z
PMID:32166456
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8445073/
Abstract

In this paper, we develop a sharp interface tumor growth model to study the effect of the tumor microenvironment using a complex far-field geometry that mimics a heterogeneous distribution of vasculature. Together with different nutrient uptake rates inside and outside the tumor, this introduces variability in spatial diffusion gradients. Linear stability analysis suggests that the uptake rate in the tumor microenvironment, together with chemotaxis, may induce unstable growth, especially when the nutrient gradients are large. We investigate the fully nonlinear dynamics using a spectrally accurate boundary integral method. Our nonlinear simulations reveal that vascular heterogeneity plays an important role in the development of morphological instabilities that range from fingering and chain-like morphologies to compact, plate-like shapes in two dimensions.

摘要

本文开发了一个锐利界面肿瘤生长模型,使用模拟血管异质性分布的复杂远场几何结构来研究肿瘤微环境的影响。同时,肿瘤内外不同的营养摄取率导致空间扩散梯度的变化。线性稳定性分析表明,肿瘤微环境中的摄取率和趋化性可能会导致不稳定的生长,尤其是在营养梯度较大的情况下。我们使用谱精确边界积分方法研究完全非线性动力学。我们的非线性模拟表明,血管异质性在形态不稳定性的发展中起着重要作用,这些不稳定性从指状和链状形态到二维中的紧凑、板状形态不等。

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Mathematical models of tumor cell proliferation: A review of the literature.肿瘤细胞增殖的数学模型:文献综述。
Expert Rev Anticancer Ther. 2018 Dec;18(12):1271-1286. doi: 10.1080/14737140.2018.1527689. Epub 2018 Oct 22.
2
Nonlinear studies of tumor morphological stability using a two-fluid flow model.使用双流体流动模型对肿瘤形态稳定性进行的非线性研究。
J Math Biol. 2018 Sep;77(3):671-709. doi: 10.1007/s00285-018-1212-3. Epub 2018 Mar 15.
3
The biology and mathematical modelling of glioma invasion: a review.脑胶质瘤侵袭的生物学和数学建模:综述。
J R Soc Interface. 2017 Nov;14(136). doi: 10.1098/rsif.2017.0490.
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Hybrid models of cell and tissue dynamics in tumor growth.肿瘤生长中细胞与组织动力学的混合模型。
Math Biosci Eng. 2015 Dec;12(6):1141-56. doi: 10.3934/mbe.2015.12.1141.
5
SOLVING PDES IN COMPLEX GEOMETRIES: A DIFFUSE DOMAIN APPROACH.求解复杂几何形状中的偏微分方程:一种扩散域方法。
Commun Math Sci. 2009 Mar 1;7(1):81-107. doi: 10.4310/cms.2009.v7.n1.a4.
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Nonlinear modelling of cancer: bridging the gap between cells and tumours.癌症的非线性建模:弥合细胞与肿瘤之间的差距。
Nonlinearity. 2010;23(1):R1-R9. doi: 10.1088/0951-7715/23/1/r01.
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Dissecting cancer through mathematics: from the cell to the animal model.通过数学方法解析癌症:从细胞到动物模型。
Nat Rev Cancer. 2010 Mar;10(3):221-30. doi: 10.1038/nrc2808.
8
Nonlinear simulations of solid tumor growth using a mixture model: invasion and branching.使用混合模型对实体肿瘤生长进行的非线性模拟:侵袭与分支
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9
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10
Morphologic instability and cancer invasion.形态学不稳定性与癌症侵袭
Clin Cancer Res. 2005 Oct 1;11(19 Pt 1):6772-9. doi: 10.1158/1078-0432.CCR-05-0852.