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Found 48 matching student topics

Displaying 37–48 of 48 results

Identification and characterisation of IRX4 isoforms as novel targets in prostate cancer

Prostate cancer (PCa) is the second leading cause of cancer-related death in Australian men. There is no cure for advanced prostate cancer patients who develop resistance to currently available treatments. Alternative splicing (AS) is tightly regulated to maintain genomic stability in humans (Liyanage et al 2019). Aberrant RNA splicing of cancer-causing genes has been reported as a major cause of treatment escape in prostate cancer patients. Iroquois-class homeodomain protein 4 (IRX4) is a TALE homeobox transcription factor which has been …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Biological and clinical impact of the association of germline variations in KLK3 (PSA) gene in prostate cancer

Prostate cancer is the most frequently occurring cancer (after skin cancers) in Australian males, and the second most common cause of cancer death. While the 5-year survival rate for localised disease approaches 100%, extra-prostatic invasion results in a poorer prognosis. Kallikreins are serine proteases, which are part of an enzymatic cascade pathway activated in prostate cancer (Lawrence et al 2010). The most well-known member is prostate specific antigen (PSA) or the KLK3 protein, encoded by the Kallikrein 3 (KLK3) gene, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Targeting leptin's signalling axis to prevent treatment resistance in prostate cancer

Advanced prostate cancer (PCa) is a leading cause of cancer-associated death in Australian men. Anti-androgens, which exploit the tumour’s reliance on androgens for its growth & spread, offer temporary remission in advanced PCa patients, but due to treatment resistance, fail to be curative. A further complication of anti-androgens is that they trigger a deleterious suite of metabolic side-effects resembling obesity/Metabolic syndrome. These symptoms not only impact patient health but promote tumours to be more aggressive & resist treatment. Vital new …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Restoring adiponectin signalling to prevent prostate cancer progression

Advanced prostate cancer (PCa) is a leading cause of cancer-associated death in Australian men. Anti-androgens, which exploit the tumour’s reliance on androgens for its growth and spread, offer temporary remission in advanced PCa patients, but due to treatment resistance, fail to be curative. A further complication of anti-androgens is that they trigger a deleterious suite of metabolic side-effects resembling obesity/Metabolic syndrome. These symptoms not only impact patient health but promote the tumour to be more aggressive and resist treatment. Vital …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Unravelling the function of PSA variants in prostate cancer

OverviewProstate cancer (PCa) is the second-most common cancer in men. Prostate-specific antigen (PSA) encoded by the KLK3 gene is the only FDA-approved PCa biomarker for PCa. As a serine protease, PSA can also regulate multiple functions involved in PCa progression and metastasis and is summarised in our recent publications. Immunotherapies, including PSA-targeting therapies, have shown modest improvement in survival, for only a subset of metastatic PCa patients. Not much is known on the immunoregulatory role of PSA or its variants, …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)
Centre for Genomics and Personalised Health

Development of peptides as therapeutics to treat drug-resistant metastatic melanoma

Melanoma is a very aggressive cancer due to its metastatic potential, and the third most common in Australia. Many patients with metastatic melanoma have strong side effects, do not respond, or develop resistance to current therapies, which results in low survival rate (26% in 5-years). This project aims at developing a new class of therapeutic leads to tackle drug-resistance in metastatic melanoma.Currently, the preferred first-line regimen given to patients with metastatic melanoma is immunotherapy with antibodies (i.e. ipilimumab and nivolumab), …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Novel therapeutic strategies to treat advanced colorectal cancer

Colorectal cancer is a very common disease, with over 15,000 new cases diagnosed in Australia annually. Metastatic colorectal cancer describes advanced disease that has spread beyond the primary site. This is very aggressive and incurable in the vast majority of these patients. To improve outcomes for colorectal cancer, we are using cutting edge genomic and cell biology techniques to understand disease heterogeneity and optimise drug response. We are developing novel therapeutic interventions based on unique molecular signatures and are testing …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

3D Bioprinting in Cancer Research

Interested in 3D Bioprinting? Care about improving our understanding of cancer pathogenesis? Then this opportunity is for you!   The Queensland University of Technology (QUT) and industry partner Gelomics Pty Ltd are seeking competitive candidates to apply for a PhD scholarship (AU $34,013 per annum) in 3D Bioprinting & Cancer Research. 

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Microfluidic chip-based tumor-immune cancer models for biomarker discovery

In-vitro profiling of tumour-immune cell interactions in proximity can provide valuable insight into patient response to new combinatorial immunotherapies that are in the pipeline and currently being tested in clinical trials. These in-vitro models allow for a more controlled and isolated environment and provide a methodical approach for generating quantifiable data characterizing the interactions between target and effector cells. Traditionally executed in well-plates, tumour-immune models have been slowly moving towards a microfluidic chip-based approach for several reasons: better control over …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Advanced artificial intelligence based ultrasound imaging applications

Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Biomedical Technologies

Challenges to data sharing of electric vehicles: alleviating privacy concerns with edge computing

The Australian Government has released Australia’s first National Electric Vehicle Strategy to increase the uptake of electric vehicles (EVs) in Australia (Australian Government, 2023), which has the potential to reduce carbon emissions substantially, given that electricity is produced from renewable energy sources (Degirmenci & Breitner, 2017).Despite environmental benefits like reduced carbon emissions, EV owners become increasingly concerned about their privacy due to enhanced EV connectivity and increased personal data sharing through EV digital services. Edge computing, where data is processed …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Understanding user behaviours of kinetic energy harvesting

Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

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