Dissertation
Identifying the circulating biomarkers for non-invasive early cancer detection
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2022
DOI:
https://doi.org/10.25907/00148
Appears in Cancer Research Cluster Research Collection
Abstract
Cancer is a leading cause of death worldwide. Therefore, accurate early diagnosis is critical in cancer management. Biopsies are generally the gold standard for definitive diagnoses, but are invasive and painful. With the advances in molecular biology and genomics techniques, liquid biopsy has been developed to provide the opportunity for a new generation of diagnostic approaches. In contrast with biopsy-based diagnosis, liquid biopsy is non-invasive on those cancer-derived materials circulating in body fluids. Since the advancement of non-invasive biomarkers, there is an urgent need for non-invasive biomarkers suitable for the early diagnosis of cancer. To date, most of the known biomarkers are specific to a single cancer type or subtype. However, those circulating materials may contain DNA contents from different tissues or organs. Thus, it is more straightforward to identify biomarkers that can be applied to multiple cancer types. This study aimed to integrate large-scale cancer genomics data at a pan-cancer level to identify cancer-related genes for non-invasive biomarkers in extracellular vesicles and cell-free DNA.
Details
- Title
- Identifying the circulating biomarkers for non-invasive early cancer detection
- Authors
- Mingyu Luo - University of the Sunshine Coast, Queensland, School of Health and Sport Sciences - Legacy
- Contributors
- Min Zhao (Supervisor) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - Legacy
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00148
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; Cancer Research Cluster; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99640378702621
- Output Type
- Dissertation
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