Gale, Davina (2019) Investigating the diagnostic potential of circulating tumour DNA (ctDNA) as a non-invasive liquid biopsy: from research to clinic. Doctoral thesis, University of East Anglia.
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Abstract
Recent advances in oncology have led to the development of targeted therapies, enabling patients to be treated based on their tumour molecular profile. Whilst tumour biopsies are routinely used for profiling, they can be highly invasive, may not fully reflect the heterogeneity present within the tumour mass, or accurately represent the genomic profile as the tumour evolves over time. Recent interest has focussed on the use of circulating tumour DNA (ctDNA) as a non-invasive ‘liquid biopsy’. Cell-free ctDNA, released from cancer cells, is highly fragmented, and carries the same genetic modifications present in the originating tumour, so has potential to be an exquisitely specific biomarker.
This thesis will focus on research I have performed over the last decade to investigate the diagnostic potential of ctDNA. I assessed the hypothesis that ctDNA is a clinically useful biomarker, able to correlate with disease burden, monitor tumour dynamics, and be used to guide treatment. I developed novel digital PCR and next generation sequencing (NGS) assays for the highly sensitive detection of ctDNA, and led the development and analytical validation of a clinical diagnostic ctDNA test to ISO15189:2012 regulatory standards, which is now being used in the clinic to stratify advanced non-small cell lung cancer patients to treatment. This thesis involves critical analysis of 14 publications that I have co-authored investigating the use of ctDNA in high-grade serous ovarian, breast and lung cancer, and the development of novel methods to improve sensitivity of detection.
When I started this work in 2009, very little was known about the clinical relevance of ctDNA. Since this time, work by myself and others has led to an explosion of interest in this area, leading to significant advances in the use of ctDNA for cancer diagnosis, treatment selection, patient monitoring and detection of minimal residual disease.
Item Type: | Thesis (Doctoral) |
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Uncontrolled Keywords: | Publication. |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
Depositing User: | James Tweddle |
Date Deposited: | 21 Aug 2019 11:02 |
Last Modified: | 21 Aug 2019 11:02 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/72022 |
DOI: |
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