The impact of hormone replacement therapy on cancer
Aim 1: To investigate the impact of hormone replacement therapy on cancer incidence
We request to access the cancer diagnosis data from those women or men who received hormone replacement therapy in the PLCO cohorts. Next, we will conduct the correlation analysis of cancer incidence and hormone replacement therapy between those people who received hormone replacement therapy with and without cancer and also calculate t the adjusted odds ratio and 95% confidence interval values, using maximum likelihood estimation after controlling for confounding effect of demographic factors like age, gender, BMI, disease history, length of hormone replacement therapy, etc. With such correlation analyses, we expect to address the impact of hormone replacement therapy on the incidence of each cancer type and subtype and also for all cancer types in general.
Aim 2: To investigate the impact of hormone replacement therapy on the outcomes of cancer treatment
We request to access the survival data for those people who received hormone replacement therapy in the PLCO cohorts. Next, we will calculate the overall survival that will be defined as the time between cancer diagnosis and death or end of follow-up. Median survival will be estimated by using the Kaplan-Meier product-limit method, and significant differences between the survival times will be determined by using the log-rank test. To identify independent prognostic factors for overall survival, hazard ratios, and 95% CIs will be calculated by using Cox proportional hazard models with a backward stepwise selection. From these analyses, we expect to address we expect to address the impact of hormone replacement therapy on the outcomes of each cancer type and subtype and also for all cancer types in general.
Dr. Nina McCarthy, University of Western Australia
Prof. Martha Hickey, University of Melbourne
Prof. Justin Nguyen, Mayo Clinic