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

Q. Peng*, F. J. Vermolen, D. Weihs

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

1 Citation (Scopus)
7 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computational Vision and Biomechanics
Subtitle of host publicationSelected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization
PublisherSpringer
Pages112-122
Number of pages11
ISBN (Print)978-3-031-10015-4
DOIs
Publication statusPublished - 2023
Event17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization - online symposium
Duration: 7 Sept 20219 Sept 2021
Conference number: 17

Publication series

NameLecture Notes in Computational Vision and Biomechanics
Volume38
ISSN (Print)2212-9391
ISSN (Electronic)2212-9413

Conference

Conference17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization
Abbreviated titleCMBBE 2021
Period7/09/219/09/21

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.

Keywords

  • Agent-based model
  • Cell metastasis
  • Evolution of cell geometry
  • Morphoelasticity

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