A5074352829- Glioma Diagnosis and Treatment
- MicroRNA in disease regulation
- 3D Printing in Biomedical Research
- Cancer-related molecular mechanisms research
- RNA Research and Splicing
- Cell Image Analysis Techniques
- Radiomics and Machine Learning in Medical Imaging
- CAR-T cell therapy research
- Nanoplatforms for cancer theranostics
- MRI in cancer diagnosis
- Brain Tumor Detection and Classification
- AI in cancer detection
- Microbial Natural Products and Biosynthesis
- 14-3-3 protein interactions
- Renal and related cancers
- Mathematical Biology Tumor Growth
- Pluripotent Stem Cells Research
- Cancer-related gene regulation
- Cellular Mechanics and Interactions
- Peptidase Inhibition and Analysis
- Innovative Microfluidic and Catalytic Techniques Innovation
- RNA modifications and cancer
- Cancer Cells and Metastasis
University of South Australia
2015-2024
South Australia Pathology
2015-2024
Centre for Cancer Biology
2015-2024
MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression, functioning in part by facilitating the degradation target mRNAs. They have an established role controlling epithelial-mesenchymal transition (EMT), a reversible phenotypic program underlying normal and pathological processes. Many studies demonstrate individual miRNAs using overexpression at levels greatly exceeding physiological abundance. This can influence transcripts with relatively poor targeting may...
Abstract Objectives Targeted immunotherapies such as chimeric antigen receptor (CAR)‐T cells are emerging attractive treatment options for glioblastoma, but rely on identification of a suitable tumor antigen. We validated new target fibroblast activation protein (FAP), by undertaking detailed expression study human samples. Methods Glioblastoma and normal tissues were assessed using immunostaining, supported analyses published transcriptomic datasets. Short‐term cultures glioma neural stem...
Glioblastoma is one of the most common and lethal types primary brain tumor. Despite aggressive treatment with chemotherapy radiotherapy, tumor recurrence within 6–9 months common. To overcome this, more effective therapies targeting cancer cell stemness, invasion, metabolism, death resistance interactions cells their surrounding microenvironment are required. In this study, we performed a systematic review molecular mechanisms that drive glioblastoma progression, which led to identification...
Abstract Background Organoids are a reliable model used in the study of human brain development and under pathological conditions. However, current methods for organoid culture generate tissues that range from 0.5 to 2 mm size, which need be constantly agitated allow proper oxygenation. The conditions are, therefore, not suitable whole-brain live imaging, required developmental processes disease progression within physiologically relevant time frames (i.e. days, weeks, months). Results Here...
Abstract Background Glioblastoma is the most aggressive type of brain cancer with high-levels intra- and inter-tumour heterogeneity that contribute to its rapid growth invasion within brain. However, a spatial characterisation gene signatures cell types expressing these in different tumour locations still lacking. Methods We have used deep convolutional neural network (DCNN) as semantic segmentation model segment seven regions including leading edge (LE), infiltrating (IT), cellular (CT),...
Epithelial-mesenchymal transition (EMT) has been a subject of intense scrutiny as it facilitates metastasis and alters drug sensitivity. Although EMT-regulatory roles for numerous miRNAs transcription factors are known, their functions can be difficult to disentangle, in part due the difficulty identifying direct miRNA targets from complex datasets deciding how incorporate 'indirect' effects that may, or may not, represent biologically relevant information. To better understand exert...
Abstract Epithelial-mesenchymal transition (EMT) is a process whereby cells undergo reversible phenotypic change, losing epithelial characteristics and acquiring mesenchymal attributes. While EMT underlies normal, physiological programs in embryonic tissue development adult wound healing, it also contributes to cancer progression by facilitating metastasis altering drug sensitivity. Using cell model of (human mammary (HMLE) cells), we show that miRNAs act as an additional regulatory layer...
Abstract Improved preclinical tools are urgently needed to translate new brain cancer treatments. Patient-derived tumor explant organoids (GBOs) offer promise for studying cells in a relevant human microenvironment and predicting patient responses therapy. However, generating GBOs is time-consuming, costly, technically challenging, hindering the creation of comprehensive biobanks covering spectrum heterogeneity. This work presents semi-automated method producing GBOs, involving tissue...
Searchable abstracts of presentations at key conferences in oncology ISSN 2631-4657 (online)
Abstract Glioblastoma is the most aggressive type of brain cancer with high-levels intra- and inter-tumour heterogeneity that contribute to its rapid growth invasion within brain. Here, we have used a deep convolutional neural network (DCNN) as semantic segmentation model segment seven different tumour regions including leading-edge (LE), infiltrating (IT), cellular (CT), microvascular proliferation (CTmvp), pseudopalisading region around necrosis (CTpan), perinecrotic zones (CTpnz) (CTne)...