About
PCa ranks as the second most common cancer in men, following lung cancer, and stands as the fifth leading cause of cancer-related deaths among males. Therefore, understanding the factors associated with the development and progression of PCa is very important to develop disease prevention strategies, perform personalized managements and reduce the disease burden. In this prospective cohort study, we aim to explore the risk factors for PCa incidence and to identify prognostic factors for PCa related outcomes, such as castration resistance, metastasis, disability, death and so on. We will use Mann-Whitney test and !2 test to evaluate the difference for continuous and categorical variables, respectively. Cox proportional hazard model will be conducted to analyse the association of candidate predictors and outcomes after adjusted potential confounders, like age, sex, race and so on. The receiver operating characteristic analysis is performed to assess the predictive capacity of the predictors for predicting specific outcomes. Subgroup analysis for different trials will be performed to assess the predictive ability of specified predictors. This project may help scientists and clinicians to know more about factors associated with IBD development and progression, and to further formulate appropriate disease control strategies. Mendelian randomization study and polygenic risk score will be employed to explore the casual relationship between potential biomarkers and PCa. We will also perform metabolomics and proteomics analysis to reveal the underlying mechanism of PCa and explore potential therapeutic targets.