Understanding the causes of high breast density
Breast density (also known as mammographic density) is the percentage of white and bright regions on a mammogram. Breast density is not related to how breasts look or feel and can only be assessed by mammogram. High breast density is both an independent risk factor for breast cancer and masks cancers on a mammogram. Combined, these two distinct phenomena lead to increased incidence, delayed diagnosis, and more aggressive tumours. Our research demonstrated a causal role for immune system signalling in breast density and the associated cancer risk, opening the door for new approaches to reduce breast cancer risk through use of anti-inflammatory drugs in women with dense breasts. Find out more about this discovery in Professor Ingman’s ABC Health Report podcast with Dr Norman Swan.
Development of biomechanical models of breast density to improve early detection
Using mathematical modelling and artificial intelligence, we have developed new computational approaches to detecting early breast cancers. Still in the pre-clinical phase, we have shown that these advanced mathematical models have a high degree of accuracy in detecting biomechanical changes in breast tissue associated with early lesions such as ductal carcinoma in situ and invasive breast cancer.
Advancing breast density notification policy
High breast density is both an independent risk factor for breast cancer and masks cancers on a mammogram. For a long time, women in Australia were not being told about their breast density when they had a mammogram. Our research helped to advance policies in screening practices by delivering more information to the community so they could understand the issues involved. We studied why women wanted to be told about their breast density as well as the barriers at play. Hear more about how our work advanced policy in Professor Ingman’s interview with Adelaia.
Improving breast cancer treatment decision-making
Gene expression profiling of breast cancer is a technology increasingly being adopted in the clinic as a precision medicine approach to tailor treatment to individual patients. However, an underappreciated factor in breast cancer diagnosis in young women is that oestrogen and progesterone fluctuate dramatically during the menstrual cycle, and these hormones are likely to affect gene expression. We have shown that the menstrual cycle can affect precision medicine which could in turn affect treatment decision-making. This research has led to the TRIAGE project (Treatment Response Independent of AGE), a collaboration with industry partners that aims to ensure patients of all ages can access the best advice about how to treat their individual breast cancer.