Computational models of cancer cell transport through the microcirculation.

Journal Article (Review;Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Puleri, DF; Balogh, P; Randles, A

Published Date

  • August 2021

Published In

Volume / Issue

  • 20 / 4

Start / End Page

  • 1209 - 1230

PubMed ID

  • 33765196

Electronic International Standard Serial Number (EISSN)

  • 1617-7940

International Standard Serial Number (ISSN)

  • 1617-7959

Digital Object Identifier (DOI)

  • 10.1007/s10237-021-01452-6


  • eng