Relations between high-risk human papillomavirus infections and cervical intraepithelial neoplasia

Abstract

Objective To study the role of different subtypes of high-risk human papillomavirus (HPV) infections in cervical intraepithelial neoplasia (CIN) . Methods Two hundred cases of each CINⅠ, CINⅡ and CINⅢ patients with confirmed diagnose by colposcopy and biopsy of tissue were collected basic information were investigated by a questionnaire survey, and the subtypes of high-risk HPV were detected by the second-generation hybrid capture HPV DNA technology (HCⅡ) . The risk factors of CIN were analyzed by Logistic regression. Results The overall high-risk HPV infection rate was 80.33% (482/600) . Compared with the patients without high-risk HPV infection, the infection ones had high CIN incidence rate. HPV31 carriers had 11.02-fold increased risk to have CINⅡ, 69.75-fold increased risk to have CINⅢ. Multivariate logistic regression analysis showed that, compared to the patients with CINⅠ, the number of sexual partners≥2 (OR=1.76,95%CI:1.05-2.96) , HPV16 positive (OR=2.70, 95%CI:1.77-4.10) and HPV18 (OR=1.96,95%CI:1.06-3.63) positive were independent risk factors for CINⅡ; the number of sexual partners≥2 (OR=3.91, 95%CI:1.84-8.33) , did not use a condom (OR=1.82, 95%CI:1.18-2.80) , HPV16 positive (OR=2.85, 95%CI:1.85-4.41) , HPV18 positive (OR=2.04, 95%CI:1.10-3.79) and HPV31 positive (OR=4.17, 95%CI: 1.66-10.49) were the independent risk factors for CINⅢ. Conclusions HPV16, HPV18, HPV58 and HPV31 may be the major pathogenic subtypes of CIN, or can be treated as a marker for screening precancerous lesion of cervical cancer. Key words: Cervical intraepithelial neoplasia; Human papillomavirus; Risk factors; Logistic regression analysis