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 (Universiteit Hasselt, Universiteit Leiden, TU Delft - Industrial Design Engineering)

F. J. Vermolen (TU Delft - Electrical Engineering, Mathematics and Computer Science, Universiteit Hasselt)

D. Weihs (Technion)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.1007/978-3-031-10015-4_10 Final published version
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Publication Year
2023
Language
English
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.
Pages (from-to)
112-122
Publisher
Springer
ISBN (print)
978-3-031-10015-4
Event
17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization (2021-09-07 - 2021-09-09), online symposium
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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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