The transport of cancerous cells through the microcirculation during metastatic spread encompasses several interdependent steps that are not fully understood. Computational models which resolve the cellular-scale dynamics of complex microcirculatory flows offer considerable potential to yield needed insights into the spread of cancer as a result of the level of detail that can be captured. In recent years, in silico methods have been developed that can accurately and efficiently model the circulatory flows of cancer and other biological cells. These computational methods are capable of resolving detailed fluid flow fields which transport cells through tortuous physiological geometries, as well as the deformation and interactions between cells, cell-to-endothelium interactions, and tumor cell aggregates, all of which play important roles in metastatic spread. Such models can provide a powerful complement to experimental works, and a promising approach to recapitulating the endogenous setting while maintaining control over parameters such as shear rate, cell deformability, and the strength of adhesive binding to better understand tumor cell transport. In this review, we present an overview of computational models that have been developed for modeling cancer cells in the microcirculation, including insights they have provided into cell transport phenomena.

在转移性扩散过程中，癌细胞通过微循环的运输包括几个相互依赖的步骤，这些步骤尚未完全了解。由于可以捕获的详细程度，解决复杂微循环流动的细胞尺度动力学的计算模型提供了相当大的潜力，可以对癌症的传播产生所需的洞察力。近年来，在硅已经开发出可以准确有效地模拟癌症和其他生物细胞的循环流动的方法。这些计算方法能够解析通过曲折的生理几何形状运输细胞的详细流体流场，以及细胞之间的变形和相互作用、细胞与内皮的相互作用和肿瘤细胞聚集体，所有这些都在转移扩散中发挥着重要作用. 这样的模型可以为实验工作提供有力的补充，并且是一种有希望的方法来概括内源性设置，同时保持对剪切速率、细胞变形性和粘合剂结合强度等参数的控制，以更好地了解肿瘤细胞的转运。在本次审查中，