Abstract
Colorectal cancer is the third most diagnosed cancer type worldwide. It is a heterogeneous disease with a variety of biological, clinical, and pathological features which affect treatment response, prognosis, and clinical outcome. While several systems of molecular subtyping based on gene-expression profiles have been proposed, changes of functional protein/gene interactions are not interpretably reflected in these systems. This work aims to systematically create functional interaction networks of several different sets of colorectal cancer gene-expression datasets and to investigate commonalities and differences of these networks, their utility for predicting patient outcome, and for delineation of cancer specific biological knowledge.Thesis is embargoed until 31st July 2026.
| Date of Award | Jul 2025 |
|---|---|
| Original language | English |
| Awarding Institution |
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| Sponsors | The SPaRK Programme & EC/Horizon 2020 Marie Skłodowska-Curie actions |
| Supervisor | Nick Orr (Supervisor), Jaine Blayney (Supervisor) & Gary Hardiman (Supervisor) |
Keywords
- cancer
- colorectal cancer
- network biology