Predicting The Individual Risk Of Prostate Cancer In Australian Men
Funder
National Health and Medical Research Council
Funding Amount
$348,656.00
Summary
Prostate cancer is a major cause of disability and death in Australian men. A number of factors, particularly age and family history, influence the risk of prostate cancer but, in contrast to breast cancer, we don't know what is the risk of developing prostate cancer over a period of time for a man with a specific set of risk factors. In fact, while a number of statistical models have been developed that use a woman's risk factor profile to estimate her risk of breast cancer, none is currently a ....Prostate cancer is a major cause of disability and death in Australian men. A number of factors, particularly age and family history, influence the risk of prostate cancer but, in contrast to breast cancer, we don't know what is the risk of developing prostate cancer over a period of time for a man with a specific set of risk factors. In fact, while a number of statistical models have been developed that use a woman's risk factor profile to estimate her risk of breast cancer, none is currently available for prostate cancer. We will apply standard statistical methods to existing data from the Australian Risk Factors for Prostate Cancer study and from the Australian Institute of Health and Welfare to develop a prostate cancer risk prediction model. We will test how factor like age, detailed family history, diet, baldness status and possibly previous PSA tests and prostate biopsies predict the risk. After developing the model, we will test the accuracy of the predictions in three ways. First, using existing data from the Australian Prostate Cancer Family Study, we will see whether the number of cases in a group of men is close to the number predicted by the model (calibration). Second, to test whether the model discriminate well men who develop prostate cancer from those who do not, we will collect family trees in a sample from the Melbourne Collaborative Cohort Study. We will use these data also to estimate the optimal cut point: men above this level of risk will be considered at high risk. Third, we will apply the model to existing data from the Dutch Prostate Cancer Family Study (DPCFS) to test whether the optimal cut point identify high-risk men and to validate the model in a non-Australian population. Finally, we will prepare a computer package that health professionals will use as decision-making tool in different scenarios including individual cancer risk assessment, design of prevention trials and targeting prevention programs to high-risk men.Read moreRead less
Genetic Epidemiology Of Endometrial Cancer: Towards Understanding Aetiology And Improving Risk Prediction.
Funder
National Health and Medical Research Council
Funding Amount
$353,573.00
Summary
Studies investigating thousands of genetic markers have revolutionised our understanding of genes involved in cancer, and shown that a single gene can be associated with multiple cancers. We will conduct the largest ever study to find new genes for endometrial cancer, the most common gynaecological cancer. Our unique approach will examine >11million markers across the genome, some specifically in regions known to be important for other cancers. Findings will be used for risk prediction models ....Studies investigating thousands of genetic markers have revolutionised our understanding of genes involved in cancer, and shown that a single gene can be associated with multiple cancers. We will conduct the largest ever study to find new genes for endometrial cancer, the most common gynaecological cancer. Our unique approach will examine >11million markers across the genome, some specifically in regions known to be important for other cancers. Findings will be used for risk prediction models.Read moreRead less
Clinical, Environmental And Genetic Factors And The Risk Of Oesophageal Cancer
Funder
National Health and Medical Research Council
Funding Amount
$145,685.00
Summary
Oesophageal cancer is a rapidly fatal disease which is becoming more common in Australia, the United States and other industrialised nations. This study will examine the mechanisms leading to the development of oesophageal cancer and aims to measure the effects of genes and environment on the burden of cancer. Ultimately, this research will help target persons at highest risk so that screening, prevention and surveillance efforts can be directed more effectively.
Modelling Of Clinic And Ambulatory Blood Pressure On Cardiovascular Risk And Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$133,957.00
Summary
Whilst ambulatory blood pressure monitoring data has been shown to be a good predictor of cardiovascular events, there remains controversy as to its utility in clinical practice. This project will use data from existing population and clinical cohort studies to examine the role of ambulatory blood pressure in risk assessment and hypertension management in Australia and around the globe. The findings are likely to have a major impact on clinical guidelines for hypertension management.
Intelligent Total Body Scanner For Early Detection Of Melanoma
Funder
National Health and Medical Research Council
Funding Amount
$499,963.00
Summary
Melanoma is the 4th most common cancer in Australia; the main screening tool is a time-consuming total body examination with a hand-held dermoscope. This project aims to develop a total body scanner using fast-refocusing lenses to take total body dermoscopy images of all skin lesions in approximately 6 minutes, integrated with a computer aided diagnostic tool providing a risk score for each lesion incorporating medical history, genotypic and phenotypic risk markers.
Obesity, Pre-diabetes And Future Risk Of Diabetes: Maximising The Evidence, Minimising The Cost
Funder
National Health and Medical Research Council
Funding Amount
$470,136.00
Summary
The overarching aim of this proposal is to reliably determine how best to identify people at high risk of developing future diabetes. We will do this by using information on biological and behavioural risk factors that was collected on nearly 200,000 people many years ago and who were subsequently followed up to see who developed diabetes. This information will be used to create a risk prediction tool for spotting individuals most at risk of developing diabetes at some point in the future.
Young Onset Colorectal Cancer: Genetics Pathology And Environment
Funder
National Health and Medical Research Council
Funding Amount
$439,180.00
Summary
There has been a steady increase since 2002, in the age-standardised incidence of CRC in males under 45 years in Australia, contrasting with the stabilisation in incidence of CRC in males of age 45 years and over. Persons under 50 years are not routinely screened unless they have a significant family history of CRC. Young-onset rectal cancer is associated with late presentations and with a higher mortality. This proposal will address the possible risk factors for young-onset CRC.
Neurodevelopmental Risk Factors For Depression From Childhood To Early Adulthood
Funder
National Health and Medical Research Council
Funding Amount
$470,144.00
Summary
To understand who is at risk for depression, we need to understand how both the environment and biological factors promote risk at specific times in the life cycle. This research project will examine such risk factors in different phases of life (from in utero to early adulthood) using a developmental framework. The results of this research will provide a clearer basis for the design of prevention strategies that target individuals, their families and/or broader environmental factors.
Automated Mammographic Measures That Predict Breast Cancer Risk
Funder
National Health and Medical Research Council
Funding Amount
$406,260.00
Summary
Mammographic density (MD) is one of the strongest predictors of breast cancer risk but its impractical measurement prevents its use in a clinical setting. An automated measure of MD would allow screening programs to identify and target women at higher risk of breast cancer which could lead to earlier diagnoses and better breast cancer outcomes. We aim to develop an automated measurement, maximized by its ability to predict breast cancer risk, and applicable to both film and digital mammograms.