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Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model

Sam Oliver, Michael Williams, Mohit Kumar Jolly Orcid Logo, Deya Gonzalez Orcid Logo, Gibin Powathil Orcid Logo

npj Systems Biology and Applications, Volume: 11, Issue: 1

Swansea University Authors: Sam Oliver, Deya Gonzalez Orcid Logo, Gibin Powathil Orcid Logo

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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....

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Published in: npj Systems Biology and Applications
ISSN: 2056-7189
Published: Springer Science and Business Media LLC 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69146
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spelling 2025-06-03T15:35:42.3659566 v2 69146 2025-03-24 Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model 644b8a85c3b8211ec0da0870d2bbc266 Sam Oliver Sam Oliver true false bafdf635eb81280304eedf4b18e65d4e 0000-0002-1838-6752 Deya Gonzalez Deya Gonzalez true false f23646a94239f673e2a43ebe7397aabd 0000-0002-8372-7349 Gibin Powathil Gibin Powathil true false 2025-03-24 MACS 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. Journal Article npj Systems Biology and Applications 11 1 Springer Science and Business Media LLC 2056-7189 17 4 2025 2025-04-17 10.1038/s41540-025-00508-y https://doi.org/10.1038/s41540-025-00508-y COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) 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. 2025-06-03T15:35:42.3659566 2025-03-24T16:40:12.5907996 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Sam Oliver 1 Michael Williams 2 Mohit Kumar Jolly 0000-0002-6631-2109 3 Deya Gonzalez 0000-0002-1838-6752 4 Gibin Powathil 0000-0002-8372-7349 5 69146__34126__bf8afc3fd7d24b398222a5c593b8b5d4.pdf 69146.VoR.pdf 2025-04-28T12:26:52.5159041 Output 5652509 application/pdf Version of Record true © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
spellingShingle Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
Sam Oliver
Deya Gonzalez
Gibin Powathil
title_short Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
title_full Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
title_fullStr Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
title_full_unstemmed Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
title_sort Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
author_id_str_mv 644b8a85c3b8211ec0da0870d2bbc266
bafdf635eb81280304eedf4b18e65d4e
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author_id_fullname_str_mv 644b8a85c3b8211ec0da0870d2bbc266_***_Sam Oliver
bafdf635eb81280304eedf4b18e65d4e_***_Deya Gonzalez
f23646a94239f673e2a43ebe7397aabd_***_Gibin Powathil
author Sam Oliver
Deya Gonzalez
Gibin Powathil
author2 Sam Oliver
Michael Williams
Mohit Kumar Jolly
Deya Gonzalez
Gibin Powathil
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container_volume 11
container_issue 1
publishDate 2025
institution Swansea University
issn 2056-7189
doi_str_mv 10.1038/s41540-025-00508-y
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
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department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
url https://doi.org/10.1038/s41540-025-00508-y
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description 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.
published_date 2025-04-17T05:27:24Z
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