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模拟微管驱动的脑胶质瘤侵袭。

Modelling microtube driven invasion of glioma.

机构信息

Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.

Department of Mathematical Sciences (DISMA), Politecnico di Torino, Turin, Italy.

出版信息

J Math Biol. 2023 Nov 28;88(1):4. doi: 10.1007/s00285-023-02025-0.

Abstract

Malignant gliomas are notoriously invasive, a major impediment against their successful treatment. This invasive growth has motivated the use of predictive partial differential equation models, formulated at varying levels of detail, and including (i) "proliferation-infiltration" models, (ii) "go-or-grow" models, and (iii) anisotropic diffusion models. Often, these models use macroscopic observations of a diffuse tumour interface to motivate a phenomenological description of invasion, rather than performing a detailed and mechanistic modelling of glioma cell invasion processes. Here we close this gap. Based on experiments that support an important role played by long cellular protrusions, termed tumour microtubes, we formulate a new model for microtube-driven glioma invasion. In particular, we model a population of tumour cells that extend tissue-infiltrating microtubes. Mitosis leads to new nuclei that migrate along the microtubes and settle elsewhere. A combination of steady state analysis and numerical simulation is employed to show that the model can predict an expanding tumour, with travelling wave solutions led by microtube dynamics. A sequence of scaling arguments allows us reduce the detailed model into simpler formulations, including models falling into each of the general classes (i), (ii), and (iii) above. This analysis allows us to clearly identify the assumptions under which these various models can be a posteriori justified in the context of microtube-driven glioma invasion. Numerical simulations are used to compare the various model classes and we discuss their advantages and disadvantages.

摘要

恶性神经胶质瘤具有侵袭性,这是成功治疗的主要障碍。这种侵袭性生长促使人们使用预测性偏微分方程模型,这些模型在不同的详细程度上进行了构建,包括(i)“增殖-浸润”模型,(ii)“生长或消亡”模型,以及(iii)各向异性扩散模型。这些模型通常使用弥漫性肿瘤界面的宏观观察来激发对入侵的现象学描述,而不是对神经胶质瘤细胞入侵过程进行详细的机制建模。在这里,我们弥补了这一差距。基于支持长细胞突起(称为肿瘤微管)发挥重要作用的实验,我们提出了一种新的肿瘤微管驱动神经胶质瘤入侵模型。具体来说,我们构建了一个肿瘤细胞群体,这些细胞延伸出组织浸润性微管。有丝分裂导致新的核沿着微管迁移并在其他地方定居。稳态分析和数值模拟的组合被用来表明,该模型可以预测肿瘤的扩张,并且微管动力学会导致波状解。一系列的比例分析使我们能够将详细模型简化为更简单的公式,包括落入上述一般类别(i)、(ii)和(iii)的模型。这种分析使我们能够清楚地确定在微管驱动的神经胶质瘤入侵的背景下,这些各种模型可以在后验上得到证明的假设。数值模拟用于比较各种模型类别,我们讨论了它们的优缺点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/764c/10684558/c2f99131e091/285_2023_2025_Fig1_HTML.jpg

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