Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model

Book Chapter (2023)
Author(s)

Q. Peng (University of Hasselt, TU Delft - Human Factors, Universiteit Leiden)

Fred Vermolen (University of Hasselt, TU Delft - Numerical Analysis)

D. Weihs (Technion Israel Institute of Technology)

Research Group
Numerical Analysis
Copyright
© 2023 Q. Peng, F.J. Vermolen, D. Weihs
DOI related publication
https://doi.org/10.1007/978-3-031-10015-4_10
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Q. Peng, F.J. Vermolen, D. Weihs
Research Group
Numerical Analysis
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
112-122
ISBN (print)
978-3-031-10015-4
Reuse Rights

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Abstract

Cancer cell migration between different body parts is the driving force behind cancer metastasis, which causes mortality of patients. Migration of cancer cells often proceeds by penetration through narrow cavities in possibly stiff tissues. In our previous work [12], a model for the evolution of cell geometry is developed, and in the current study we use this model to investigate whether followers among (cancer) cells benefit from leading (cancer) cells during transmigration through micro-channels and cavities. Using Wilcoxon’s signed-rank text on the data collected from Monte Carlo simulations, we conclude that the transmigration time for the stalk cell is significantly smaller than for the leading cell with a p-value less than 0.0001, for the modelling set-up that we have used in this study.

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