E-Thesis 36 views 6 downloads
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression / SAMUEL OLIVER
Swansea University Author: SAMUEL OLIVER
-
PDF | E-Thesis – open access
Copyright: the author, Samuel Mark Oliver, 2025. Distributed under the terms of a Creative Commons Attribution Non Commercial 4.0 License (CC BY-NC 4.0)
Download (25MB)
DOI (Published version): 10.23889/SUThesis.71341
Abstract
As the leading cause of death amongst all gynaecological cancers, ovarian cancer research is an increasingly important area of study. Patients of the disease continue to suffer from significant challenges despite receiving the best treatment currently available. Throughout the past, treatments deemed...
| Published: |
Swansea University
2025
|
|---|---|
| Institution: | Swansea University |
| Degree level: | Doctoral |
| Degree name: | Ph.D |
| Supervisor: | Powathil, G., Picco, N., and Gonzalez, D. |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa71341 |
| first_indexed |
2026-01-29T14:49:17Z |
|---|---|
| last_indexed |
2026-01-30T06:53:11Z |
| id |
cronfa71341 |
| recordtype |
RisThesis |
| fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2026-01-29T14:53:14.0466719</datestamp><bib-version>v2</bib-version><id>71341</id><entry>2026-01-29</entry><title>The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression</title><swanseaauthors><author><sid>97745f3fdcc9ee520bb2fe6980c747dc</sid><firstname>SAMUEL</firstname><surname>OLIVER</surname><name>SAMUEL OLIVER</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2026-01-29</date><abstract>As the leading cause of death amongst all gynaecological cancers, ovarian cancer research is an increasingly important area of study. Patients of the disease continue to suffer from significant challenges despite receiving the best treatment currently available. Throughout the past, treatments deemed optimal have been done so based on results from in vivo or in vitro experiments using physical cells.Advancements in the availability and capability of technology now allows in silico experiments to provide alternative methods and insights into tumour growth.A key aspect of ovarian cancer progression is its tenancy to metastasise. Sur-rounded by the peritoneal cavity and omentum, the ovaries provide an ideal lo-cation for the spread of malignant neoplasms. This, along with the lack of early symptoms exhibited in the majority of cases, causes ovarian cancer to maintain a 5 year survival rate of under 50%. With the help of mathematical models, the scientific community is aiming to increase this statistic by optimising new treatments and preventative approaches.In this study, we take key aspects of ovarian cancer progression and inhibition and develop multiscale mathematical models to investigate the role of these processes.We begin by exploring the role of adipose tissue found in the omentum. Adipose tissue is home to adipocytes, a cell found to secrete substrates such as leptin and interleukin-6, proven to promote proliferation in cancer tumours. Metastasis occurs as a result of a phenotypic change encouraged by this adipose derived media.The transition between these states, known as epithelial-to-mesenchymal transition is also studied in detail, along with the ability of cisplatin to impede the overall growth of the tumour, with relevant parameters optimised using experimental data.</abstract><type>E-Thesis</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication>Swansea University</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Mathematical Oncology, Agent-Based Modelling, Ovarian Cancer, Adipocytes, Modelling chemotherapies</keywords><publishedDay>14</publishedDay><publishedMonth>10</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-10-14</publishedDate><doi>10.23889/SUThesis.71341</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><supervisor>Powathil, G., Picco, N., and Gonzalez, D.</supervisor><degreelevel>Doctoral</degreelevel><degreename>Ph.D</degreename><degreesponsorsfunders>EPSRC doctoral training grant</degreesponsorsfunders><apcterm/><funders>EPSRC doctoral training grant</funders><projectreference/><lastEdited>2026-01-29T14:53:14.0466719</lastEdited><Created>2026-01-29T14:41:48.2049539</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Mathematics</level></path><authors><author><firstname>SAMUEL</firstname><surname>OLIVER</surname><order>1</order></author></authors><documents><document><filename>71341__36143__b3f8d8cf6d6a4f9fa833a746d947f5e3.pdf</filename><originalFilename>2025_Oliver_S.final.71341.pdf</originalFilename><uploaded>2026-01-29T14:47:21.7965401</uploaded><type>Output</type><contentLength>26217865</contentLength><contentType>application/pdf</contentType><version>E-Thesis – open access</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright: the author, Samuel Mark Oliver, 2025.
Distributed under the terms of a Creative Commons Attribution Non Commercial 4.0 License (CC BY-NC 4.0)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
| spelling |
2026-01-29T14:53:14.0466719 v2 71341 2026-01-29 The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression 97745f3fdcc9ee520bb2fe6980c747dc SAMUEL OLIVER SAMUEL OLIVER true false 2026-01-29 As the leading cause of death amongst all gynaecological cancers, ovarian cancer research is an increasingly important area of study. Patients of the disease continue to suffer from significant challenges despite receiving the best treatment currently available. Throughout the past, treatments deemed optimal have been done so based on results from in vivo or in vitro experiments using physical cells.Advancements in the availability and capability of technology now allows in silico experiments to provide alternative methods and insights into tumour growth.A key aspect of ovarian cancer progression is its tenancy to metastasise. Sur-rounded by the peritoneal cavity and omentum, the ovaries provide an ideal lo-cation for the spread of malignant neoplasms. This, along with the lack of early symptoms exhibited in the majority of cases, causes ovarian cancer to maintain a 5 year survival rate of under 50%. With the help of mathematical models, the scientific community is aiming to increase this statistic by optimising new treatments and preventative approaches.In this study, we take key aspects of ovarian cancer progression and inhibition and develop multiscale mathematical models to investigate the role of these processes.We begin by exploring the role of adipose tissue found in the omentum. Adipose tissue is home to adipocytes, a cell found to secrete substrates such as leptin and interleukin-6, proven to promote proliferation in cancer tumours. Metastasis occurs as a result of a phenotypic change encouraged by this adipose derived media.The transition between these states, known as epithelial-to-mesenchymal transition is also studied in detail, along with the ability of cisplatin to impede the overall growth of the tumour, with relevant parameters optimised using experimental data. E-Thesis Swansea University Mathematical Oncology, Agent-Based Modelling, Ovarian Cancer, Adipocytes, Modelling chemotherapies 14 10 2025 2025-10-14 10.23889/SUThesis.71341 COLLEGE NANME COLLEGE CODE Swansea University Powathil, G., Picco, N., and Gonzalez, D. Doctoral Ph.D EPSRC doctoral training grant EPSRC doctoral training grant 2026-01-29T14:53:14.0466719 2026-01-29T14:41:48.2049539 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics SAMUEL OLIVER 1 71341__36143__b3f8d8cf6d6a4f9fa833a746d947f5e3.pdf 2025_Oliver_S.final.71341.pdf 2026-01-29T14:47:21.7965401 Output 26217865 application/pdf E-Thesis – open access true Copyright: the author, Samuel Mark Oliver, 2025. Distributed under the terms of a Creative Commons Attribution Non Commercial 4.0 License (CC BY-NC 4.0) true eng https://creativecommons.org/licenses/by-nc/4.0/ |
| title |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression |
| spellingShingle |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression SAMUEL OLIVER |
| title_short |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression |
| title_full |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression |
| title_fullStr |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression |
| title_full_unstemmed |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression |
| title_sort |
The Role of Adipocytes and Tumour Microenvironment in Ovarian Cancer Progression |
| author_id_str_mv |
97745f3fdcc9ee520bb2fe6980c747dc |
| author_id_fullname_str_mv |
97745f3fdcc9ee520bb2fe6980c747dc_***_SAMUEL OLIVER |
| author |
SAMUEL OLIVER |
| author2 |
SAMUEL OLIVER |
| format |
E-Thesis |
| publishDate |
2025 |
| institution |
Swansea University |
| doi_str_mv |
10.23889/SUThesis.71341 |
| college_str |
Faculty of Science and Engineering |
| hierarchytype |
|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics |
| document_store_str |
1 |
| active_str |
0 |
| description |
As the leading cause of death amongst all gynaecological cancers, ovarian cancer research is an increasingly important area of study. Patients of the disease continue to suffer from significant challenges despite receiving the best treatment currently available. Throughout the past, treatments deemed optimal have been done so based on results from in vivo or in vitro experiments using physical cells.Advancements in the availability and capability of technology now allows in silico experiments to provide alternative methods and insights into tumour growth.A key aspect of ovarian cancer progression is its tenancy to metastasise. Sur-rounded by the peritoneal cavity and omentum, the ovaries provide an ideal lo-cation for the spread of malignant neoplasms. This, along with the lack of early symptoms exhibited in the majority of cases, causes ovarian cancer to maintain a 5 year survival rate of under 50%. With the help of mathematical models, the scientific community is aiming to increase this statistic by optimising new treatments and preventative approaches.In this study, we take key aspects of ovarian cancer progression and inhibition and develop multiscale mathematical models to investigate the role of these processes.We begin by exploring the role of adipose tissue found in the omentum. Adipose tissue is home to adipocytes, a cell found to secrete substrates such as leptin and interleukin-6, proven to promote proliferation in cancer tumours. Metastasis occurs as a result of a phenotypic change encouraged by this adipose derived media.The transition between these states, known as epithelial-to-mesenchymal transition is also studied in detail, along with the ability of cisplatin to impede the overall growth of the tumour, with relevant parameters optimised using experimental data. |
| published_date |
2025-10-14T05:33:53Z |
| _version_ |
1856805832887369728 |
| score |
11.09611 |

