Journal article 389 views 77 downloads
Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
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Deya Gonzalez ,
Gibin Powathil
npj Systems Biology and Applications, Volume: 11, Issue: 1
Swansea University Authors:
Sam Oliver, Deya Gonzalez , Gibin Powathil
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© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License.
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DOI (Published version): 10.1038/s41540-025-00508-y
Abstract
Epithelial-to-mesenchymal transition (EMT) plays a key role in the progression of cancer tumours, significantly reducing the success of treatment. EMT occurs when a cell undergoes phenotypical changes, resulting in enhanced drug resistance, higher cell plasticity, and increased metastatic abilities....
| Published in: | npj Systems Biology and Applications |
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| ISSN: | 2056-7189 |
| Published: |
Springer Science and Business Media LLC
2025
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69146 |
| Abstract: |
Epithelial-to-mesenchymal transition (EMT) plays a key role in the progression of cancer tumours, significantly reducing the success of treatment. EMT occurs when a cell undergoes phenotypical changes, resulting in enhanced drug resistance, higher cell plasticity, and increased metastatic abilities. Here, we employ a 3D agent-based multiscale modelling framework using PhysiCell to explore the role of EMT over time in two cell lines, OVCAR-3 and SKOV-3. This approach allows us to investigate the spatiotemporal progression of ovarian cancer and the impacts of the conditions in the microenvironment. OVCAR-3 and SKOV-3 cell lines possess highly contrasting tumour layouts, allowing a wide range of different tumour dynamics and morphologies to be tested and studied. Along with performing sensitivity analysis on the model, simulation results capture the biological observations and trends seen in tumour growth and development, thus helping to obtain further insights into OVCAR-3 and SKOV-3 cell line dynamics. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
S.O. was supported by EPSRC Maths DTP 2021/22 Swansea University [Grant EP/W523963/1]. This research was supported in part by the International Center for Theoretical Sciences (ICTS) for participating in the programme—Theoretical approaches in cancer progression and treatment (code: ICTS/MATHONCO2024/03). G.P., M.K.J. and S.O. acknowledge the support provided by Global Wales-IISc Joint Research Partnership Fund. M.K.J. was supported by Param Hansa Philanthropies. MW was supported by Swansea University Texas academic partnership PhD programme. |
| Issue: |
1 |