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微轨迹侵袭过程中出现的浸润性乳腺癌细胞集体迁移模式的多样性。

Diversity of collective migration patterns of invasive breast cancer cells emerging during microtrack invasion.

机构信息

Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 401331, China.

Department of Physics, Xiamen University, Xiamen 361005, China.

出版信息

Phys Rev E. 2019 Jun;99(6-1):062403. doi: 10.1103/PhysRevE.99.062403.

Abstract

Understanding the mechanisms underlying the diversity of tumor invasion dynamics, including single-cell migration, multicellular streaming, and the emergence of various collective migration patterns, is a long-standing problem in cancer research. Here we have designed and fabricated a series of microchips containing high-throughput microscale tracks using protein repelling coating technology, which were then covered with a thin Matrigel layer. By varying the geometrical confinement (track width) and microenvironment factors (Matrigel concentration), we have reproduced a diversity of collective migration patterns in the chips, which were also observed in vivo. We have further classified the collective patterns and quantified the emergence probability of each class of patterns as a function of microtrack width and Matrigel concentration to devise a quantitive "collective pattern diagram." To elucidate the mechanisms behind the emergence of various collective patterns, we employed cellular automaton simulations, incorporating the effects of both direct cell-cell interactions and microenvironment factors (e.g., chemical gradient and extracellular matrix degradation). Our simulations suggest that tumor cell phenotype heterogeneity, and the associated dynamic selection of a favorable phenotype via cell-microenivronment interactions, are key to the emergence of the observed collective patterns in vitro.

摘要

理解肿瘤侵袭动力学多样性的机制,包括单细胞迁移、多细胞流和各种集体迁移模式的出现,是癌症研究中的一个长期问题。在这里,我们设计并制造了一系列使用蛋白质排斥涂层技术的含有高通量微尺度轨道的微芯片,然后在上面覆盖一层薄薄的 Matrigel 层。通过改变几何约束(轨道宽度)和微环境因素(Matrigel 浓度),我们在芯片中重现了多种集体迁移模式,这些模式也在体内观察到。我们进一步对集体模式进行了分类,并将每种模式类别的出现概率量化为微轨道宽度和 Matrigel 浓度的函数,设计了一个定量的“集体模式图”。为了阐明各种集体模式出现的机制,我们采用了包含细胞间直接相互作用和微环境因素(如化学梯度和细胞外基质降解)影响的元胞自动机模拟。我们的模拟表明,肿瘤细胞表型异质性,以及通过细胞-微环境相互作用对有利表型的动态选择,是体外观察到的集体模式出现的关键。

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