Abstract
Immune checkpoint blockade (ICB) has revolutionised cancer treatment, yet treatment response remains highly variable across patients and tumour types. Biomarker research, which hopes to improve ICB outcomes, has focused on pre-treatment biomarkers rather than dynamic biomarkers due to the clinical complexities of harvesting and analysing multi-timepoint patient data. Consequently, the existence and clinical translatability of dynamic biomarkers remains unexplored. The work in this thesis addresses the computational challenge of studying dynamic ICB biomarkers and provides proof-of-concept that these biomarkers can be exploited to enhance ICB response.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 24 Feb 2023 |
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| Publication status | Unpublished - 2022 |
Access to Document
- THESIS - DOCTOR OF PHILOSOPHY - CHIN Melvin - 2022
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