Open Access

REVIEW

Surface activity of cancer cells: The fusion of two cell aggregates

by IVANA PAJIC-LIJAKOVIC^*, MILAN MILIVOJEVIC

Faculty of Technology and Metallurgy, Belgrade University, Belgrade, Serbia

* Corresponding Author: IVANA PAJIC-LIJAKOVIC. Email:

(This article belongs to the Special Issue: Tissue Engineering, Cellular Therapy and Biotechnologies in Plastic Surgery)

BIOCELL 2023, 47(1), 15-25. https://doi.org/10.32604/biocell.2023.023469

Received 27 April 2022; Accepted 28 July 2022; Issue published 26 September 2022

Abstract

A key feature that distinguishes cancer cells from all other cells is their capability to spread throughout the body. Although how cancer cells collectively migrate by following molecular rules which influence the state of cell-cell adhesion contacts has been comprehensively formulated, the impact of physical interactions on cell spreading remains less understood. Cumulative effects of physical interactions exist as the interplay between various physical parameters such as (1) tissue surface tension, (2) viscoelasticity caused by collective cell migration, and (3) solid stress accumulated in the cell aggregate core region. This review aims to point out the role of these physical parameters in cancer cell spreading by considering and comparing the rearrangement of various mono-cultured cancer and epithelial model systems such as the fusion of two cell aggregates. While epithelial cells undergo volumetric cell rearrangement driven by the tissue surface tension, which directs cell movement from the surface to the core region of two-aggregate systems, cancer cells rather perform surface cell rearrangement. Cancer cells migrate toward the surface of the two-aggregate system driven by the solid stress while the surface tension is significantly reduced. The solid stress, accumulated in the core region of the two-aggregate system, is capable of suppressing the movement of epithelial cells that can undergo the jamming state transition; however, this stress enhances the movement of cancer cells. We have focused here on the multi-scale rheological modeling approaches that aimed at reproducing and understanding these biological systems.

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Keywords

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