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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.

Sec. Organoids and Organ-On-A-Chip

Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1515962

This article is part of the Research Topic Integrating Computational Modeling and Organoid Technology for Enhanced Biological Research View all articles

A hybrid computational model of cancer spheroid growth with ribose-induced collagen stiffening

Provisionally accepted
  • 1 School of Mathematics, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, England, United Kingdom
  • 2 Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing and Engineering, Indiana University Bloomington, Bloomington, Indiana, United States
  • 3 Randall Centre for Cell & Molecular Biophysics, School of Basic & Medical Biosciences, Faculty of Life Sciences & Medicine, King's College London, London, England, United Kingdom
  • 4 University College London, London, England, United Kingdom

The final, formatted version of the article will be published soon.

    Metastasis, the leading cause of death in cancer patients, arises when cancer cells disseminate from a primary solid tumour to distant organs. Growth and invasion of the solid tumour often involve collective cell migration, which is profoundly influenced by cell-cell interactions and the extracellular matrix (ECM). The ECM's biochemical composition and mechanical properties, such as stiffness, regulate cancer cell behaviour and migration dynamics. Mathematical modelling serves as a pivotal tool for studying and predicting these complex dynamics, with hybrid discrete-continuous models offering a powerful approach by combining agent-based representations of cells with continuum descriptions of the surrounding microenvironment. In this study, we investigate the impact of ECM stiffness, modulated via ribose-induced collagen cross-linking, on cancer spheroid growth and invasion. We employed a hybrid discrete-continuous model implemented in PhysiCell to simulate spheroid dynamics, successfully replicating three-dimensional in vitro experiments. The model incorporates detailed representations of cell-cell and cell-ECM interactions, ECM remodelling, and cell proliferation. Our simulations align with experimental observations of two breast cancer cell lines, non-invasive MCF7 and invasive HCC1954, under varying ECM stiffness conditions. The results demonstrate that increased ECM stiffness due to ribose-induced cross-linking inhibits spheroid invasion in invasive cells, whereas non-invasive cells remain largely unaffected. Furthermore, our simulations show that higher ECM degradation by the cells not only enables spheroid growth and invasion but also facilitates the formation of multicellular protrusions. Conversely, increasing the maximum speed that cells can reach due to cell-ECM interactions enhances spheroid growth while promoting single-cell invasion. This hybrid modelling approach enhances our understanding of the interplay between cancer cell migration, proliferation, and ECM mechanical properties, paving the way for future studies incorporating additional ECM characteristics and microenvironmental conditions.

    Keywords: mathematical oncology, agent-based model, collective migration, Extracellular Matrix, ECM stiffness, cancer cell biology

    Received: 23 Oct 2024; Accepted: 26 Mar 2025.

    Copyright: © 2025 Botticelli, Metzcar, Phillips, Cox, Keshavanarayana and Spill. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Pradeep Keshavanarayana, School of Mathematics, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, B15 2TT, England, United Kingdom
    Fabian Spill, School of Mathematics, College of Engineering and Physical Sciences, University of Birmingham, Birmingham, B15 2TT, England, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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