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1.
Journal of Gynecologic Oncology ; : e30-2017.
Article in English | WPRIM | ID: wpr-61160

ABSTRACT

OBJECTIVE: To explore the genotype distribution of high-risk human papillomavirus (HR-HPV) and its attribution to different grades of cervical lesions in rural China, which will contribute to type-specific HPV screening tests and the development of new polyvalent HPV vaccines among the Chinese population. METHODS: One thousand two hundred ninety-two subjects were followed based on the Shanxi Province Cervical Cancer Screening Study I (SPOCCS-I), and screened by HPV DNA testing (hybrid capture® 2 [HC2]), liquid-based cytology (LBC), and if necessary, directed or random colposcopy-guided quadrant biopsies. HPV genotyping with linear inverse probe hybridization (SPF10-PCR-LiPA) was performed in HC2 positive specimens. Attribution of specific HR-HPV type to different grades of cervical lesions was estimated using a fractional contribution approach. RESULTS: After excluding incomplete data, 1,274 women were included in the final statistical analysis. Fifteen point two percent (194/1,274) of women were HR-HPV positive for any of 13 HR-HPV types (HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 68) and the most common HR-HPV types were HPV16 (19.1%) and HPV52 (16.5%). The genotypes most frequently detected in HR-HPV-positive cervical intraepithelial neoplasia grade 1 (CIN1) were HPV52 (24.1%), HPV31 (20.7%), HPV16 (13.8%), HPV33 (13.8%), HPV39 (10.3%), and HPV56 (10.3%); in HR-HPV-positive cervical intraepithelial neoplasia grade 2 or worse (CIN2+): HPV16 (53.1%), HPV58 (15.6%), HPV33 (12.5%), HPV51 (9.4%), and HPV52 (6.3%). HPV52, 31, 16, 33, 39, and 56 together contributed to 89.7% of HR-HPV-positive CIN1, and HPV16, 33, 58, 51, and 52 together contributed to 87.5% of CIN2+. CONCLUSION: In summary, we found substantial differences in prevalence and attribution of CINs between different oncogenic HPV types in a rural Chinese population, especially for HPV16, 31, 33, 52, and 58. These differences may be relevant for both clinical management and the design of preventive strategies.


Subject(s)
Female , Humans , Asian People , Biopsy , Uterine Cervical Dysplasia , China , Genotype , Human Papillomavirus DNA Tests , Mass Screening , Papillomavirus Vaccines , Prevalence , Uterine Cervical Neoplasms
2.
Journal of Gynecologic Oncology ; : e66-2017.
Article in English | WPRIM | ID: wpr-54947

ABSTRACT

OBJECTIVE: To investigate the extent of the cross-reactivity of hybrid capture 2 (HC2) assay and evaluate the potential effect of cross-reactivity on the long-term risk for cervical cancer and precancers. METHODS: Based on the Shanxi Province Cervical Cancer Screening Study-I (SPOCCS-I) cohort from 2005 to 2014 in Shanxi, China, SPF₁₀-line probe assay (LiPA) was performed in all 598 HC2 positive and 300 random-selected HC2 negative cervical specimens. Ten-year cumulative incidence rate (CIR) of cervical intraepithelial neoplasia grade 2 or worse (CIN2+) of these two tests was evaluated using Kaplan-Meier methods. Possible human papillomavirus (HPV) types to be cross-reacted by HC2 were also analyzed. RESULTS: The overall agreement between HC2 and SPF₁₀-LiPA for detecting carcinogenic HPV was 73.27%. The highest 10-year cumulative risk of CIN2+ was observed in both HC2 positive and LiPA-carcinogenic HPV positive women (25.70%; 95% confidence interval [CI]=23.55%–27.91%), followed by HC2 positive but LiPA-non-carcinogenic HPV positive women (9.97%; 95% CI=8.57%–11.50%), HC2 negative but LiPA-carcinogenic HPV positive (2.56%; 95% CI=2.44%–2.70%) and HC2 positive but LiPA-HPV negative (1.85%; 95% CI=1.78%–1.92%) women. The proportion of cross-reactivity of HC2 with untargeted carcinogenic types was 8.9%, most of which were attributable to HPV26, 73, 82, 69, 71, 53, 11, 43, and 54. CONCLUSION: The noticeable high risk of CIN2+ in women infected with cross-reacted non-carcinogenic HPV and low risk in those with miss-to-detective carcinogenic HPV supported an overall good clinical performance of HC2 for a general cervical cancer screening.


Subject(s)
Female , Humans , Uterine Cervical Dysplasia , China , Cohort Studies , Incidence , Mass Screening , Prospective Studies , Uterine Cervical Neoplasms
3.
Journal of Gynecologic Oncology ; : e47-2017.
Article in English | WPRIM | ID: wpr-54938

ABSTRACT

OBJECTIVE: We performed a pooled analysis to examine cigarette smoking and household passive smoke exposure in relation to the risk of human papillomavirus (HPV) infection and cervical intraepithelial neoplasia grade 2+ (CIN2+). METHODS: Data were pooled from 12 cross-sectional studies for cervical cancer screenings from 10 provinces of China in 1999–2007. A total of 16,422 women were analyzed, along with 2,392 high-risk-HPV (hr-HPV) positive women and 381 CIN2+ cases. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression models controlling for sexual and non-sexual confounding factors. RESULTS: There was an excess risk between active smoking and hr-HPV infection and CIN2+. Adjusted OR for ever smokers vs. never smokers was 1.45 (95% CI=1.10–1.91), for hr-HPV infection and 1.89 (95% CI=1.03–3.44), for CIN2+. Passive smoking had a slightly increased risk on the hr-HPV infection with adjusted OR 1.11 (1.00–1.24), but no statistical association was observed between passive smoke exposure and CIN2+. Compared with the neither active nor passive smokers, both active and passive smokers had a 1.57-fold (95% CI=1.14–2.15) increased risk of HPV infection and a 1.99-fold (95% CI=1.02–3.88) risk of CIN2+. CONCLUSION: Our large multi-center cross-sectional study found active smoking could increase the risk of overall hr-HPV infection and CIN2+ adjusted by passive smoking and other factors. Passive smoking mildly increased the risk of HPV infection but not the CIN2+. An interaction existed between passive tobacco exposure and active smoking for hr-HPV infection and the CIN2+.


Subject(s)
Female , Humans , Asian People , Uterine Cervical Dysplasia , China , Cross-Sectional Studies , Family Characteristics , Logistic Models , Mass Screening , Odds Ratio , Papillomaviridae , Papillomavirus Infections , Smoke , Smoking , Nicotiana , Tobacco Smoke Pollution , Uterine Cervical Neoplasms
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