Adhesion-driven invasion: Disentangling the interplay between cell-cell and cell-matrix interactions in cancer cell migration.
2/5 보강
TL;DR
This work reveals that strong cell-matrix interactions promote invasion, while strong cell-cell adhesion promotes the formation and dissemination of multicellular clusters, and predicts that morphological tumor features may serve as a proxy for metastasis.
OpenAlex 토픽 ·
Cell Adhesion Molecules Research
Cellular Mechanics and Interactions
Cancer Cells and Metastasis
This work reveals that strong cell-matrix interactions promote invasion, while strong cell-cell adhesion promotes the formation and dissemination of multicellular clusters, and predicts that morpholog
APA
Quirine J.S. Braat, Klara Beslmüller, et al. (2026). Adhesion-driven invasion: Disentangling the interplay between cell-cell and cell-matrix interactions in cancer cell migration.. Biophysical journal, 125(7), 1597-1613. https://doi.org/10.1016/j.bpj.2026.02.025
MLA
Quirine J.S. Braat, et al.. "Adhesion-driven invasion: Disentangling the interplay between cell-cell and cell-matrix interactions in cancer cell migration.." Biophysical journal, vol. 125, no. 7, 2026, pp. 1597-1613.
PMID
41764074 ↗
Abstract 한글 요약
Metastasis proceeds through the dissemination of cells from the primary tumor into the surrounding extracellular matrix, initiating further spread throughout the body. The invasion of cancer cells into the extracellular matrix is significantly influenced by cell-cell adhesion, cell-matrix adhesion, and the generation of traction forces. However, the complex interplay between these different aspects makes it difficult to disentangle their roles in the invasive process, hampering our mechanistic understanding of collective cell invasion. Here, we combine integrin knockout experiments in Hs578T and 4T1 breast cancer cell lines with a computational cellular Potts model to explore how variations in adhesion and traction may contribute to invasive cell behavior. By tuning the cell-cell and cell-matrix adhesion parameters in our computational model, we identify model parameter regimes consistent with our experimental observations. Our model indicates that strong cell-matrix interactions promote invasion, whereas strong cell-cell adhesion promotes the formation and dissemination of multicellular clusters. Moreover, our model delineates a threshold for invasion and predicts that tumor morphology-particularly the number of branches from the primary tumor-correlates with its invasive potential, suggesting that morphological tumor features may serve as a proxy for metastasis. Our approach highlights the importance of combining biological experiments with computational and predictive modeling, offering new insights into the mechanisms driving cancer cell migration.
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