This paper aimed to investigate the characteristics of female HPV infection in the Shangcheng District, Hangzhou city, China. The retrospective study was designed to analyze the HPV prevalence rate of 22,382 women receiving physical examinations from 2016 to 2020 in the Shangcheng District of Hangzhou city in China. A commercial kit was designed to detect the HPV genotypes. Trends were examined for age-specific groups (≤ 30 years, 31–44 years, 45–54 years, 55–64 years,  ≥ 65 years). A receiver operating characteristic (ROC) analysis was used to assess the correlation of age classification in high risk HPV (HR-HPV) infection. 22.41% (5015/22,382) of samples were HPV positive, 91.28% (4578/5015) of HPV positive women were infected by HR-HPV. The most prevalent HR-HPV genotypes were 16, 52, 18, 58, 56, and 51. The trend of HPV prevalence showed the significant differences in age-specific groups (χ2 = 164.70, P < 0.001). Moreover, the areas under ROC curve (AUC) was 0.712 in 55–64 years group which showed a strong contribution of age classification for HR-HPV infection. This study provided baseline data on the prevalence characteristics of HPV infection and the critical age group of HR-HPV prevalence rate was 55–64 y among the samples receiving physical examinations.

Background: The causes of the recurrence of pelvic organ prolapse (POP) are sufficiently understood. However, few studies investigate the key genes of recurrence POP. The present study aimed to screen the hub genes of recurrence POP. Microarray data of 4 recurrent POP and 4 primary POP uterosacral ligaments in the GSE28660 gene expression dataset were used as research objects. we used the online Gene Expression Omnibus (GEO) microarray expression profiling dataset to identify differentially expressed genes (DEGs). Also, functional enrichment and protein-protein interaction (PPI) network analyses were performed, and the key modules were identified. Then, we investigated the differential immune cell infiltration between recurrent POP and primary POP tissues using the CIBERSORT algorithm.Results: In total, 84 upregulated and 32 downregulated genes were identified in the differential expression analysis.Conclusion: This human genome DNA microarrays analysis identified a recurrence POP signature of 116 genes, and 2 hub genes, including cell death-inducing DFFA-like effector (CIDEA) and hemoglobin subunit delta (HBD) may participate in the pathogenesis of recurrence POP, giving them a certain diagnostic and therapeutic value.