Targeting Novel Eph Receptors in Solid Tumours
This project is suitable for PhD students. BACKGROUND We have generated well-characterised monoclonal antibodies (mAbs) against several Eph and ephrin receptor proteins that are present on distinct cell populations in several solid tumours such as colon, breast, prostate and brain cancer. We plan to use these novel mAbs to effectively target these aggressive treatment refractory […]
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Developing small molecule inhibitors to target treatment refractory melanoma.
This project is suitable for PhD students. Background Cutaneous melanoma is a neoplasm of melanocytes, the pigment producing cells in the skin, and is the most aggressive and lethal form of skin cancer. The incidence of melanoma has increased dramatically over the past three decades, including in Australia where it is now the fourth most […]
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Ovarian cancer pain management
Suitable for a Masters (preferably part-time) or Honours student. Some experience in biostatistics and data analysis is essential and a background in epidemiology and/or an interest in cancer are highly desirable. Background In Australia in 2022, around 1,815 women were diagnosed with ovarian cancer and more than 1,000 lives were lost to the disease. Pain […]
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Somatic changes to mitochondria DNA in cancer development
This project is suitable for Honours, Masters, MPhil, MD or PhD student. Background Mitochondria are membrane-bound cell organelles that are critical for energy production and cell metabolism. Mitochondria are located in the cytoplasm of cells and have their own DNA that is circular and approximately 17 kb. Aberrant mitochondrial function is a key component of […]
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Human neuroimaging and blood biomarkers for inherited neurodegenerative diseases
This project is suitable for PhD students. Background Can new human brain imaging techniques allow us to better understand, track, and treat neurodegenerative diseases? Can blood-based proteomics/metabolomics help us to better define and predict heterogeneity in the onset and progression of neurodegeneration? Can machine learning be applied to complex, multi-domain clinical and biological data to […]
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Mechanistic understanding of how obesity causes cancer – Research project #3: How does physiological stressors affect somatic fully differentiated cells of the body?
Obesity increases the risk of developing thirteen types of cancer that normal weight individuals may not develop despite of harbouring the same cancer risk loci. Globally, overweight/obesity may account for 544 300 cancer cases every year and is currently implicated in 15-20% of cancer-related mortalities. This places obesity second only to smoking as the most […]
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Mechanistic understanding of how obesity causes cancer – Research project #2: How do physiological stressors affect the tumor ecosystem?
Obesity increases the risk of developing thirteen types of cancer that normal weight individuals may not develop despite of harbouring the same cancer risk loci. Globally, overweight/obesity may account for 544 300 cancer cases every year and is currently implicated in 15-20% of cancer-related mortalities. This places obesity second only to smoking as the most […]
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Mechanistic understanding of how obesity causes cancer – Research project #1: What are the properties of cancer cells adapted to aberrant physiological environments?
Obesity increases the risk of developing thirteen types of cancer that normal weight individuals may not develop despite of harbouring the same cancer risk loci. Globally, overweight/obesity may account for 544 300 cancer cases every year and is currently implicated in 15-20% of cancer-related mortalities. This places obesity second only to smoking as the most […]
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Identifying the causal genes at cancer risk loci
This project is suitable for PhD or Honours students. Our laboratory is involved in genome-wide association studies (GWAS) to identify common variations underlying the risk of breast and ovarian cancers. The current challenge is in the functional interpretation of genetic association data. With this aim, we use a variety of computational approaches to define potential […]
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