Restriction lift date: 2026-05-31
Modelling the tumour microenvironment and reversible and irreversible chemotherapy resistance
dc.check.date | 2026-05-31 | |
dc.contributor.advisor | Wieczorek, Sebastian | |
dc.contributor.advisor | Alkhayuon, Hassan | |
dc.contributor.advisor | Mulchrone, Kieran F. | |
dc.contributor.author | Quinlan, Thomas | en |
dc.contributor.funder | University College Cork | |
dc.date.accessioned | 2025-02-12T13:40:21Z | |
dc.date.available | 2025-02-12T13:40:21Z | |
dc.date.issued | 2024 | |
dc.date.submitted | 2024 | |
dc.description.abstract | The tumour microenvironment (TME) comprises various cell types, including cancer cells, immune cells, and stromal cells, which all engage in complex, dynamical interactions. Understanding these interactions, particularly their role in promoting cancer growth and the emergence of drug resistance, is crucial for developing effective treatment strategies. This project constructs a comprehensive mathematical model of the TME that incorporates the effects of chemotherapy. We systematically derive a series of process-based equations to describe the tripartite interactions between cancer cells, immune cells and stromal cells within the TME, as well as their response to chemotherapy. Throughout the model development, we analyse sub-models to ensure we capture key qualitative behaviours. Finally, we conduct a qualitative study by simulating our model under various hypothetical TME scenarios and different chemotherapy dosing schedules. Our simulations demonstrate how variations in stromal activity and treatment regimens can lead to diverse patient outcomes, highlighting the need for personalised treatment strategies. | en |
dc.description.status | Not peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Quinlan, T. 2024. Modelling the tumour microenvironment and reversible and irreversible chemotherapy resistance. MRes Thesis, University College Cork. | |
dc.identifier.endpage | 126 | |
dc.identifier.uri | https://hdl.handle.net/10468/17027 | |
dc.language.iso | en | en |
dc.publisher | University College Cork | en |
dc.relation.project | University College Cork (School of Mathematical Sciences, Boole Fellowship) | |
dc.rights | © 2024, Thomas Quinlan. | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Mathematical modelling | |
dc.subject | Cancer | |
dc.subject | Stroma | |
dc.subject | Immune system | |
dc.subject | Chemotherapy | |
dc.subject | Drug resistance | |
dc.subject | Dynamical systems | |
dc.subject | Mathematical biology | |
dc.subject | Mathematical oncology | |
dc.subject | Tumour microenvironment | |
dc.subject | Treatment scheduling | |
dc.title | Modelling the tumour microenvironment and reversible and irreversible chemotherapy resistance | |
dc.type | Masters thesis (Research) | en |
dc.type.qualificationlevel | Masters | en |
dc.type.qualificationname | MSc - Master of Science | en |
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