The role of spatial structures of tissues in cancer initiation dynamics.

IF 2 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Physical biology Pub Date : 2022-08-18 DOI:10.1088/1478-3975/ac8515

Cade Spaulding, Hamid Teimouri, Anatoly B Kolomeisky

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引用次数: 1

Abstract

It is widely believed that biological tissues evolved to lower the risks of cancer development. One of the specific ways to minimize the chances of tumor formation comes from proper spatial organization of tissues. However, the microscopic mechanisms of underlying processes remain not fully understood. We present a theoretical investigation on the role of spatial structures in cancer initiation dynamics. In our approach, the dynamics of single mutation fixations are analyzed using analytical calculations and computer simulations by mapping them to Moran processes on graphs with different connectivity that mimic various spatial structures. It is found that while the fixation probability is not affected by modifying the spatial structures of the tissues, the fixation times can change dramatically. The slowest dynamics is observed in 'quasi-one-dimensional' structures, while the fastest dynamics is observed in 'quasi-three-dimensional' structures. Theoretical calculations also suggest that there is a critical value of the degree of graph connectivity, which mimics the spatial dimension of the tissue structure, above which the spatial structure of the tissue has no effect on the mutation fixation dynamics. An effective discrete-state stochastic model of cancer initiation is utilized to explain our theoretical results and predictions. Our theoretical analysis clarifies some important aspects on the role of the tissue spatial structures in the cancer initiation processes.

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组织空间结构在癌变起始动力学中的作用。

人们普遍认为，生物组织的进化是为了降低癌症发展的风险。减少肿瘤形成机会的具体方法之一是组织的适当空间组织。然而，潜在过程的微观机制仍未完全了解。我们对空间结构在癌症发生动力学中的作用进行了理论研究。在我们的方法中，通过分析计算和计算机模拟，通过将它们映射到具有不同连通性的图上的Moran过程来分析单突变固定的动力学，这些图模拟了各种空间结构。研究发现，虽然改变组织的空间结构不会影响固定概率，但固定时间会发生显著变化。在“准一维”结构中观察到最慢的动力学，而在“准三维”结构中观察到最快的动力学。理论计算还表明，图连通性程度存在一个临界值，该临界值模拟了组织结构的空间维度，超过该临界值，组织的空间结构对突变固定动力学没有影响。利用一个有效的离散状态随机模型来解释我们的理论结果和预测。我们的理论分析澄清了组织空间结构在癌症发生过程中作用的一些重要方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical biology 生物-生物物理

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.