We also used Logistic regression model to analyze the effect of interaction between age, initial PSA and TyG index groups on prostate cancer, and the results showed that there was an interaction between TyG index Q4 group and age and initial PSA, and the interaction between TyG index and different risk factors may increase the risk of prostate cancer. This evidence concerns the gene KLK3 and prostate cancer.