Type: Breast cancer
In this project Professor Fazekas and team will analyse pre- and post-therapy blood samples from breast cancer patients and use machine learning statistical techniques to identify the immune signatures that can predict patient response to a particular therapy with the greatest accuracy.
Dr Latham’s team is pursuing the preclinical assessment and development of a novel class of drugs that aim to prevent cancer relapse by inhibiting the growth of cells that have already metastasised.
Dr Beatriz Perez San Juan’s research is focussed on developing new targeted treatments for triple negative breast cancer that overcome the challenge of chemotherapy failure.
Using high resolution molecular profiling technology, Associate Professor Gallego Ortega and his team have been studying MDSCs – trying to understand how they work, so they can develop treatments that block these cells.
A/Professor Croucher and his team are investigating new treatment options for triple-negative breast cancers that have spread.
A/Professor Wang and her team will develop a test to monitor treatment response and watch for the early signs of treatment failure.
Dr Blancafort and her team will develop a test to detect a gene prolific in aggressive forms of breast cancer and identify new treatment targets.
This project will improve understanding of what causes treatment resistance in ER+ breast cancer and identify new ways to overcome it.
Immunotherapy is yet to make a substantial impact on treatment for advanced breast cancer, A/Professor Swarbrick wants to understand why.