Print Email Facebook Twitter Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model Title Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model Author Peng, Q. (TU Delft Applied Ergonomics and Design; Universiteit Leiden; University of Hasselt) Vermolen, F.J. (TU Delft Numerical Analysis; University of Hasselt) Weihs, D. (Technion) Date 2023 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. Subject Agent-based modelCell metastasisEvolution of cell geometryMorphoelasticity To reference this document use: http://resolver.tudelft.nl/uuid:817982d9-16b7-492e-b490-66e488b1327f DOI https://doi.org/10.1007/978-3-031-10015-4_10 Publisher Springer Embargo date 2023-07-01 ISBN 978-3-031-10015-4 Source Lecture Notes in Computational Vision and Biomechanics: Selected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization 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 Series Lecture Notes in Computational Vision and Biomechanics, 2212-9391, 38 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. Part of collection Institutional Repository Document type book chapter Rights © 2023 Q. Peng, F.J. Vermolen, D. Weihs Files PDF 978_3_031_10015_4_10.pdf 1.23 MB Close viewer /islandora/object/uuid:817982d9-16b7-492e-b490-66e488b1327f/datastream/OBJ/view