Finnish Cancer Registry, Pieni Roobertinkatu 9, FI-00130 Helsinki, Finland.
Br J Cancer. 2013 Nov 26;109(11):2941-50. doi: 10.1038/bjc.2013.647. Epub 2013 Oct 17.
Large-scale data on type-specific HPV prevalences and disease burden are needed to monitor the impact of HPV vaccination and to plan for HPV-based cervical screening.
33 043 women (aged 25-65) were screened for HPV by a Hybrid Capture 2 (HC2) in a population-based programme. HPV-positive women (n=2574) were triaged by cytology and HPV genotyped using PCR-Luminex. Type-specific prevalence of HPV infection and its correlation to findings in cytology triage and histology as well as Population Attributable Fractions for a referral to colposcopy and findings in histology were calculated.
Among HC2-positive women, 61.5% had normal, 23.1% had ASC-US and 15.5% had LSIL or more severe (LSIL+) results in cytology. Out of HC2-positive samples, 57% contained the 13 Group 1/2A HPV types, which were targeted by the HC2, 15% contained Group 2B types, 8.5% Group 3 types and 30% were found to be negative in HPV genotyping. The proportion of samples positive for HPV by the HC2, but negative in HPV genotyping increased with age and decreased with increasing cytological abnormality. The most frequent types were HPV 16 (0.9% of screened women and 12.1% of the HC2-positive women), HPV 31 (0.7% and 8.9%, respectively) and HPV 52 (0.5% and 6.3%, respectively). The prevalence of Group 1/2A HPV types increased with increasing CIN grade and attributed 78.3% (95% CI 53.4-89.9) of the CIN 3+ lesions, while HPV 16 attributed 55.8% (40.0-67.5) of them.
The type-specific prevalence of HPV were slightly lower than the average in international meta-analyses. Genotyping for HPV 16 better identified women with CIN 3+ than cytology triage at the threshold of LSIL+. The high proportion of women that were HC2-positive but HPV-negative in genotyping suggests that HPV genotyping may be useful also for validation of results in HPV screening. The large-scale HPV genotyping data were found to be directly useful for planning further preventive efforts for cervical cancer.
为了监测 HPV 疫苗接种的效果并规划 HPV 为基础的宫颈癌筛查,需要大规模的 HPV 型别流行率和疾病负担数据。
在一项基于人群的项目中,33043 名(年龄 25-65 岁)女性接受了杂交捕获 2(HC2)检测 HPV。对 HPV 阳性的女性(n=2574)进行细胞学分流,并采用聚合酶链反应-微珠法(PCR-Luminex)对 HPV 进行基因分型。计算 HPV 感染的型别流行率及其与细胞学分流和组织学发现的相关性,以及对阴道镜转诊和组织学发现的人群归因分数。
在 HC2 阳性的女性中,细胞学分流有 61.5%的女性结果正常,23.1%为 ASC-US,15.5%为 LSIL 或更严重(LSIL+)。在 HC2 阳性的样本中,57%包含 HC2 检测的 13 种 Group 1/2A HPV 型别,15%包含 Group 2B 型别,8.5%包含 Group 3 型别,30%在 HPV 基因分型中呈阴性。HC2 检测 HPV 阳性而 HPV 基因分型阴性的样本比例随年龄增长而增加,随细胞学异常程度降低而降低。最常见的型别是 HPV 16(0.9%的筛查女性和 12.1%的 HC2 阳性女性)、HPV 31(0.7%和 8.9%)和 HPV 52(0.5%和 6.3%)。Group 1/2A HPV 型别的流行率随 CIN 分级增加而增加,CIN 3+病变归因于 78.3%(95%CI 53.4-89.9),HPV 16 归因于 55.8%(40.0-67.5)。
HPV 的型别流行率略低于国际荟萃分析的平均水平。HPV 16 基因分型比 LSIL+细胞学分流更能识别出 CIN 3+的女性。HC2 检测 HPV 阳性而 HPV 基因分型阴性的女性比例较高,提示 HPV 基因分型可能对 HPV 筛查结果的验证也有用。大规模的 HPV 基因分型数据直接有助于规划进一步的宫颈癌预防工作。