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Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model
npj Systems Biology and Applications, Volume: 11, Issue: 1
Swansea University Authors:
Sam Oliver, Deya Gonzalez , Gibin Powathil
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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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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69146 |
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2025-03-24T16:42:35Z |
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2025-06-04T04:39:45Z |
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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.</abstract><type>Journal Article</type><journal>npj Systems Biology and Applications</journal><volume>11</volume><journalNumber>1</journalNumber><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2056-7189</issnElectronic><keywords/><publishedDay>17</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-04-17</publishedDate><doi>10.1038/s41540-025-00508-y</doi><url>https://doi.org/10.1038/s41540-025-00508-y</url><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><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. 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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 |
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644b8a85c3b8211ec0da0870d2bbc266 bafdf635eb81280304eedf4b18e65d4e f23646a94239f673e2a43ebe7397aabd |
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644b8a85c3b8211ec0da0870d2bbc266_***_Sam Oliver bafdf635eb81280304eedf4b18e65d4e_***_Deya Gonzalez f23646a94239f673e2a43ebe7397aabd_***_Gibin Powathil |
| author |
Sam Oliver Deya Gonzalez Gibin Powathil |
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Sam Oliver Michael Williams Mohit Kumar Jolly Deya Gonzalez Gibin Powathil |
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10.1038/s41540-025-00508-y |
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Springer Science and Business Media LLC |
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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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11.089386 |

