Analysis of the influence of marital status on prognosis of prostate cancer patients based on big data

Objective: To study the effect of different marital status on the prognosis of patients with prostate cancer.

Methods: The general data of 169,533 patients with prostate cancer confirmed by biopsy or surgery in SEER database were retrospectively analyzed. The COX univariate analysis was performed first, and the meaningful variables of the univariate analysis were incorporated into the Cox proportional hazards model for multivariate analysis, and the independent factors affecting the prognosis of patients with prostate cancer were obtained.

Results: The collected patients accounted for 59% of married patients and 22% of unmarried patients. COX multivariate analysis, the results showed: age (HR: 1.063; P<0.001), tumor differentiation grade (HR: 1.367; P<0.001), marital status: married (HR: 0.648; P<0.001), unmarried (HR: 0.602; P<0.001), bone metastasis (HR: 6.077; P<0.001), brain metastasis (HR: 2.296; P<0.001), liver metastasis (HR: 2.582; P<0.001), lung metastasis (HR: 1.256; P<0.001), distant lymph node metastasis (HR: 1.698; P<0.001), T stage (HR: 1.047; P>0.005), N stage (HR: 0.970; P>0.005), M stage (HR: 0.880; P>0.005) were all factors affecting the prognosis of patients with prostate cancer. The average survival time of married patients was 16.05±10.32 months, and the average survival time of unmarried patients was 15.46±10.37 months. The average survival time of married patients was longer than that of unmarried patients (X²=1173.133; P<0.001), and the difference was statistically significant.

Conclusion: Based on big data analysis, marital status has a great influence on postoperative prostate cancer patients, and the survival time of married prostate cancer patients is longer than that of unmarried patients.