A data-driven approach to modeling cancer cell mechanics during microcirculatory transport.

ABSTRACT: In order to understand the effect of cellular level features on the transport of circulating cancer cells in the microcirculation, there has been an increasing reliance on high-resolution in silico models. Accurate simulation of cancer cells flowing with blood cells requires resolving cellular-scale interactions in 3D, which is a significant computational undertaking warranting a cancer cell model that is both computationally efficient yet sufficiently complex to capture relevant behavior. Given that the characteristics of metastatic spread are known to depend on cancer type, it is crucial to account for mechanistic behavior representative of a specific cancer's cells. To address this gap, in the present work we develop and validate a means by which an efficient and popular membrane model-

SUBMITTER: Balogh P 

PROVIDER: S-EPMC8316468 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature