ArticleScientific reports2022
Efficient deformation mechanisms enable invasive cancer cells to migrate faster in 3D collagen networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Geometrical Designs in Volumetric Bioprinting to Study Cellular Behaviors in Engineered Constructs.Advanced healthcare materials · 2026Article
- Physical and Chemical Modifications of Polymeric Surfaces to Enhance Epithelial Cell Adhesion.ACS omega · 2025Article
- Mechanobiological engineering strategies for organoid culture.APL bioengineering · 2025Review
- Capillary constrictions prime cancer cell tumorigenicity through PIEZO1.Nature communications · 2025Article
- Distinct roles of protrusions and collagen deformation in collective invasion of cancer cell types.Biophysical journal · 2025Article
- Molecular Force Sensors for Biological Application.International journal of molecular sciences · 2024Review
- Microinterfaces in biopolymer-based bicontinuous hydrogels guide rapid 3D cell migration.Nature communications · 2024Article
- Colorectal Cancer Bioengineered Microtissues as a Model to Replicate Tumor-ECM Crosstalk and Assess Drug Delivery Systems In Vitro.International journal of molecular sciences · 2023Article
- Prediction of anticancer drug resistance using a 3D microfluidic bladder cancer model combined with convolutional neural network-based image analysis.Frontiers in bioengineering and biotechnology · 2023Article
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5 authors.
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Abstract
Cancer cell migration is a widely studied topic but has been very often limited to two dimensional motion on various substrates. Indeed, less is known about cancer cell migration in 3D fibrous-extracellular matrix (ECM) including variations of the microenvironment. Here we used 3D time lapse imaging on a confocal microscope and a phase correlation method to follow fiber deformations, as well as cell morphology and live actin distribution during the migration of cancer cells. Different collagen concentrations together with three bladder cancer cell lines were used to investigate the role of the metastatic potential on 3D cell migration characteristics. We found that grade-3 cells (T24 and J82) are characterized by a great diversity of shapes in comparison with grade-2 cells (RT112). Moreover, grade-3 cells with the highest metastatic potential (J82) showed the highest values of migration speeds and diffusivities at low collagen concentration and the greatest sensitivity to collagen concentration. Our results also suggested that the small shape fluctuations of J82 cells are the signature of larger migration velocities. Moreover, the displacement fields generated by J82 cells showed significantly higher fiber displacements as compared to T24 and RT112 cells, regardless of collagen concentration. The analysis of cell movements enhanced the fact that bladder cancer cells were able to exhibit different phenotypes (mesenchymal, amoeboid). Furthermore, the analysis of spatio-temporal migration mechanisms showed that cancer cells are able to push or pull on collagen fibers, therefore producing efficient local collagen deformations in the vicinity of cells. Our results also revealed that dense actin regions are correlated with the largest displacement fields, and this correlation is enhanced for the most invasive J82 cancer cells. Therefore this work opens up new routes to understand cancer cell migration in soft biological networks.
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