ROLE OF HUMAN PAPILLOMAVIRUS IN CERVICAL NEOPLASIA

本病例对照研究的目的是探讨 人乳头瘤病毒（HPV）DNA 6、11、16、18和31型发挥作用 宫颈上皮内瘤变（CIN）的发展 II级和III级，控制已知和疑似风险因素， 已发现HPV DNA 16、18和31型与 CIN II和III，而HPV DNA类型6和11被发现更多 在CIN I中， 该研究项目假设， CIN II和III的女性更有可能有HPV DNA类型， 16，18和31与正常宫颈涂片的妇女相比。 由于HPV通常需要相关的致癌剂， 恶性转化动物肿瘤模型中，过去的作用 生殖器疱疹感染、吸烟和激素避孕药 将被评估为可能的共同致癌物。 北卡罗来纳州纪念医院（NCMH）肿瘤诊所 将作为100例CIN II和III事件的来源， 由NCMH细胞学实验室分类。 活检确认 CIN II或III也是病例状态的要求。 200 接受常规巴氏检查的NCMH家庭医学诊所患者 涂片，由NCMH细胞学实验室分类为正常， 将作为对照。 额外的宫颈刮片将 从每个病例和对照中取出用于HPV DNA分型。 所有情况 和对照组将通过电话访谈收集 关于潜在混杂因素的信息，包括：年龄、人种， 受教育程度、初次性交年龄、性伴侣数量、 吸烟、性传播疾病史，以及 使用的避孕方法。 分层分析和非条件Logistic回归将 用于研究HPV DNA类型与 宫颈肿瘤状态，同时控制危险因素。 的 HPV DNA类型与病毒之间相互作用的可能性 假设的共致癌物（既往生殖器疱疹 感染，吸烟状况和使用的激素避孕药）将 使用非条件Logistic回归进行评估。

The purpose of this case control study is to investigate the role Human Papillomavirus (HPV) DNA types 6, 11, 16, 18, and 31 play in the development of cervical intraepithelial neoplasia (CIN) levels II and III, controlling for known and suspected risk factors, HPV DNA types 16, 18, and 31 have been found to be associated with CIN II and III, while HPV DNA types 6 and 11 are found more frequently in CIN I. This research project hypothesizes that women with CIN II and III are more likely to have HPV DNA types 16, 18, and 31 compared to women with normal cervical smears. Since HPV usually requires an associated carcinogenic agent for malignant transformation in animal tumor models, the role of past genital herpes infection, smoking, and hormonal contraceptives will be evaluated as possible co-carcinogens. The North Carolina Memorial Hospital (NCMH) Neoplasia Clinic will serve as the source of 100 incident cases of CIN II and III as classified by the NCMH cytology laboratory. Biopsy confirmation of CIN II or III will also be a requirement for case status. 200 NCMH Family Medicine Clinic patients receiving routine Pap smears, classified as normal by the NCMH cytology laboratory, will serve as the controls. An additional cervical scraping will be taken from each case and control for HPV DNA typing. All cases and controls will be interviewed by telephone to collect information on potential confounders including: age, race, education, age at first intercourse, number of sexual partners, tobacco use, history of sexually transmitted diseases, and contraceptive methods used. Stratified analysis and unconditional logistic regression will be used to investigate the relationship between HPV DNA types and cervical neoplasia status, while controlling for risk factors. The possibility of interactions between HPV DNA types and the hypothesized co-carcinogenic agents (past genital herpes infection, smoking status, and hormonal contraceptives used) will be evaluated using unconditional logistic regression.