Transient Tissue ‘priming’ Via FAK Inhibition To Impair Pancreatic Cancer Progression And Improve Sensitivity To Gemcitabine/Abraxane
Funder
National Health and Medical Research Council
Funding Amount
$643,848.00
Summary
The success of cancer drugs is dependent on many factors including the properties of the tumour tissue. As a tumour grows it changes the tissue around it, and this affects response to treatment. Combining classical biology with engineering to generate 3D models that mimic tumours, along with cutting-edge imaging technology and mouse models, we will target FAK-controlled cancer cell pathways that sense tissue changes, together with already approved cancer drugs to improve patient outcome.
Single-cell Optical Window Imaging In CDK1-FRET Biosensor Mice To Assess Tissue Stiffness And Optimise Delivery And Therapeutic Response To Gemcitabine/Abraxane In Pancreatic Cancer.
Funder
National Health and Medical Research Council
Funding Amount
$676,979.00
Summary
Inefficient drug response in solid tumour tissue is commonly a limiting factor in the clinical effectiveness of cancer therapies. Using cutting-edge imaging technology and 3D models that mimic the disease, we have mapped areas of poor drug response within distinct regions of tumours. Here, we pinpoint and specifically target key factors limiting efficient drug targeting in order to improve the encouraging anti-cancer profile of the new drug combination Gemcitabine/Abraxane in pancreatic cancer.
Reversing The Biomechanical Dysregulation Of Cancer Cell Signalling To Improve Targeted Therapies
Funder
National Health and Medical Research Council
Funding Amount
$663,447.00
Summary
The limited success of cancer drugs is dependent on many factors including the physical properties (stiffness) of a tumour. In particular whether a tumour is soft or stiff affects how it responds to treatment. Combining classical biology with engineering to generate 3D models that mimic tumours, along with cutting-edge imaging technology, we will determine how we can target the physical properties of tumours together with already approved cancer drugs to improve treatment and patient outcome.
Biosensor Imaging In Preclinical Pancreatic Cancer Targeting: Taking Cancer Targeting To New Dimensions.
Funder
National Health and Medical Research Council
Funding Amount
$640,210.00
Summary
Using cutting-edge imaging technology and 3D models that mimic cancer, we can map areas of poor drug response within distinct 'stages' or regions of tumours. Here, we pinpoint and specifically target key factors limiting efficient drug response in order to improve the encouraging anti-cancer profile of new or current drugs in pancreatic cancer.
Cellular And Molecular Aspects Of Mammographic Density As A Predictor Of Breast Cancer Risk In Pseudo-orthotopic Mammatrophic Environment
Funder
National Health and Medical Research Council
Funding Amount
$113,322.00
Summary
High mammographic density (MD), or denser breast tissue on mammogram, is associated with greater breast cancer risk. Despite this, the basis for its increased risk is poorly understood. This study assesses the effect of high density breast tissue transferred from high risk women at time of mastectomy into tissue engineering chambers in mice. Changes in the connective tissue harvested from the chamber were examined with specialized imaging, laboratory stains and molecular analysis.
Much of the death and suffering caused by cancer is associated with secondary tumours, but alot remains to be learned about how cancer spreads through the patient's body. This project will determine how genes that enable the growth of tumours work with other genes that enable cancer cells to detach from the tumour, enabling them to enter the bloodstream and form secondary tumours in other organs.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100092
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Fluorescence microscopy with optical tweezers: imaging cellular responses. Life relies on the ability of our cells to receive and respond to signals with pinpoint accuracy, involving both chemical and mechanical signals. This equipment will allow scientists to expose cells to both types of signals and measure the response at an unprecedented level of accuracy for the first time.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100166
Funder
Australian Research Council
Funding Amount
$370,000.00
Summary
Imaging Cell and Tissue Architecture using Confocal and Super-Resolution Microscopy. Imaging cell and tissue architecture using confocal and super-resolution microscopy: This project aims to understand how the architecture of cells and tissues is controlled. This is because the organisation of biological space underpins the function of cells, tissues and organisms. This project will test the role of identified parts of cell architecture in regulating specific animal functions/pathologies. It wil ....Imaging Cell and Tissue Architecture using Confocal and Super-Resolution Microscopy. Imaging cell and tissue architecture using confocal and super-resolution microscopy: This project aims to understand how the architecture of cells and tissues is controlled. This is because the organisation of biological space underpins the function of cells, tissues and organisms. This project will test the role of identified parts of cell architecture in regulating specific animal functions/pathologies. It will do this by using new microscope technologies which are at the frontier of visualising cell structure in isolation and in the context of tissue including application to the living animal. The dynamic organisation of structures in cells will be imaged in living tissue. Novel insights into structure/function relationships in the body will impact the health industry and generate opportunities for new diagnostics and therapeutics. Read moreRead less
Development and validation of virtual epithelial cancer models using an integrated modelling and experimental three-dimensional approach. The mathematical and experimental modelling of the human prostate and ovary applying quantitative bioengineering concepts will lead to virtual cancer models. This project aims to validate these multi-scale models to delineate biological and pathological avenues in healthy and disease tissue and improve prevention and treatment of prostate and ovarian cancer.