HPV epidemiology and PAX1/JAM3 methylation in cervical cancer screening

Persistent high-risk human papillomavirus (hrHPV) infection drives cervical carcinogenesis, yet accurate biomarkers of high grade cervical intraepithelial neoplasia (CIN2/3) are needed to optimize HPV-based cervical screening. The prevalence of hrHPV types specifically in Changshu was assessed, and the roles of PAX1/JAM3 gene methylation ( PAX1 m /JAM3 m ) in identifying cervical lesions were studied. 52,605 women aged 30–65 years were screened by HPV genotype detection. Furthermore, HPV-positive women were stratified by age and region for subgroup analysis; among them, 173 underwent histopathological assessment, quantitative viral load measurement, and methylation-specific qPCR for PAX1 and JAM3 . The diagnostic performance of HPV 16/18 genotyping, PAX1 m and JAM3 m was compared. We also performed logistic regression models to determine independent predictors of CIN2/3. The overall prevalence of HPV was 6.17% (3245/52605); HPV52 (22.69%, 907/3997), HPV58 (11.56%, 462/3997), and HPV16 (10.13%, 405/3997) were the three most prevalent genotypes. Single genotype infection was detected in 2636 cases (2636/3245, 81.23%), while multiple HPV infections were observed in 609 cases (18.77%). Among multiple HPV infections, 489 cases had two genotypes, 100 had three genotypes, 17 had four genotypes, and 3 had five genotypes. HPV infection prevalence increased with age ( χ² = 101.3, P < 0.0001), peaking at age over 60 years, and differed among sub-districts ( χ² = 61.53, P < 0.0001). Among the 173 follow-up women, including 44 normal lesions, 101 CIN1 lesions, 15 CIN2 lesions, and 13 CIN3 lesions, PAX1 m and JAM3 m levels increased stepwise ( P < 0.0001). Moreover, PAX1 m /JAM3 m had a robust positive association ( R = 0.519, P < 0.0001), but both were independent of viral load. For CIN3, the dual methylation achieved high diagnostic potential, with an area under the curve (AUC) of 0.92. For age-adjusted multivariable analysis, the weighted composite methylation score derived from PAX1 and JAM3 was an independent risk factor for CIN2 + lesions (adjusted OR = 1.965, 95% CI: 1.520–2.541, P < 0.001). The study delineates the HPV prevalence characteristics in the Changshu population. Moreover, it demonstrates that PAX1 m /JAM3 m are viral load-independent biomarkers of CIN2/3 lesions and significantly enhance the diagnostic performance of primary HPV screening.

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Journal
Scientific Reports
Published
2026-09-17
DOI
https://doi.org/10.1038/s41598-026-71236-4
Primary Topic
Cervical Cancer and HPV Research
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article
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article

HPV epidemiology and PAX1/JAM3 methylation in cervical cancer screening

Yaoyao Zhuang, Chuandan Wan, Huanhuan Chen, Yilin Zhao et al.
Scientific Reports
Cervical Cancer and HPV Research
article

HPV epidemiology and PAX1/JAM3 methylation in cervical cancer screening

Yaoyao Zhuang, Chuandan Wan, Huanhuan Chen, Yilin Zhao, Yeqiong Xu, Qian Zhang, Na Zhao, Yanping Zhu, Yimai Deng, Jie Chen, Tianwei Guo
article en

Abstract

Persistent high-risk human papillomavirus (hrHPV) infection drives cervical carcinogenesis, yet accurate biomarkers of high grade cervical intraepithelial neoplasia (CIN2/3) are needed to optimize HPV-based cervical screening. The prevalence of hrHPV types specifically in Changshu was assessed, and the roles of PAX1/JAM3 gene methylation ( PAX1 m /JAM3 m ) in identifying cervical lesions were studied. 52,605 women aged 30–65 years were screened by HPV genotype detection. Furthermore, HPV-positive women were stratified by age and region for subgroup analysis; among them, 173 underwent histopathological assessment, quantitative viral load measurement, and methylation-specific qPCR for PAX1 and JAM3 . The diagnostic performance of HPV 16/18 genotyping, PAX1 m and JAM3 m was compared. We also performed logistic regression models to determine independent predictors of CIN2/3. The overall prevalence of HPV was 6.17% (3245/52605); HPV52 (22.69%, 907/3997), HPV58 (11.56%, 462/3997), and HPV16 (10.13%, 405/3997) were the three most prevalent genotypes. Single genotype infection was detected in 2636 cases (2636/3245, 81.23%), while multiple HPV infections were observed in 609 cases (18.77%). Among multiple HPV infections, 489 cases had two genotypes, 100 had three genotypes, 17 had four genotypes, and 3 had five genotypes. HPV infection prevalence increased with age ( χ² = 101.3, P < 0.0001), peaking at age over 60 years, and differed among sub-districts ( χ² = 61.53, P < 0.0001). Among the 173 follow-up women, including 44 normal lesions, 101 CIN1 lesions, 15 CIN2 lesions, and 13 CIN3 lesions, PAX1 m and JAM3 m levels increased stepwise ( P < 0.0001). Moreover, PAX1 m /JAM3 m had a robust positive association ( R = 0.519, P < 0.0001), but both were independent of viral load. For CIN3, the dual methylation achieved high diagnostic potential, with an area under the curve (AUC) of 0.92. For age-adjusted multivariable analysis, the weighted composite methylation score derived from PAX1 and JAM3 was an independent risk factor for CIN2 + lesions (adjusted OR = 1.965, 95% CI: 1.520–2.541, P < 0.001). The study delineates the HPV prevalence characteristics in the Changshu population. Moreover, it demonstrates that PAX1 m /JAM3 m are viral load-independent biomarkers of CIN2/3 lesions and significantly enhance the diagnostic performance of primary HPV screening.

Scientific Reports
Suzhou University of Technology (CN), Changshu No.1 People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 11%
Cervical Cancer and HPV Research
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