Grant: Op Gr: Data Analysis Using Existing Databases n Cohorts-Cancer Prevention n Ctrl

Cancer of the uterus, also known as endometrial cancer, is the most common gynecological malignancy in the developed world. Many risk factors associated with endometrial cancer, such as obesity, can be modified; this provides a unique opportunity for the development and implementation of personalized prevention strategies that will positively impact health outcomes for women. The goal of our proposal is to use the pan Canadian data from the Canadian Partnership for Tomorrow (CPTP) linked with provincial cancer registries and discharge abstracts databases to derive and validate models that identify women in the population who are at high risk for endometrial malignancies. Our modeling approach will enable the stratification of women into risk groups for which targeted prevention and screening strategies can be recommended. Obesity is the risk factors associated with endometrial cancer and its precursor vary between different Provinces, cities and even neighbourhoods. Obesity is often associated with different ethnicities and socioeconomic factors that vary regionally in Canada. Furthermore, these risk factors are particularly common amongst indigenous populations.