Ryser Marc D, Rositch Anne, Gravitt Patti E
Department of Surgery, Division of Advanced Oncologic and GI Surgery, Duke University Medical Center.
Department of Mathematics, Duke University, Durham, North Carolina.
J Infect Dis. 2017 Sep 1;216(5):604-611. doi: 10.1093/infdis/jix333.
The United States has experienced an increase in the incidence of human papillomavirus (HPV)-related cancers that are not screen-detectable. It has been hypothesized, but not directly demonstrated, that this is due to increasing HPV prevalence in the unvaccinated population.
Female self-reported numbers of lifetime sex partners and HPV serology from the National Health and Nutrition Examination Survey (NHANES) were used to develop mathematical models of sexual partner acquisition and antibody dynamics. Modeled trends in sexual behaviors were compared to incidence data for cervical adenocarcinoma, oropharyngeal cancer, and anal cancer.
The age-specific HPV seroprevalence data were best explained by a partner acquisition model that explicitly accounted for cohort-dependent changes in sexual behavior. Estimates of the mean time to loss of natural antibodies varied by model, ranging from 49 to 145 years. Inferred trends in sexual behavior over the past decades paralleled the increasing incidence of HPV-related cancers in the United States.
The findings suggest that lower HPV seroprevalence in older US women primarily reflects cohort-specific differences in sexual behaviors, and is only marginally attributable to immune waning with age. Our results emphasize the importance of continuing surveillance of sexual behaviors, alongside vaccine status, to predict future disease burden.
美国无法通过筛查检测出的人乳头瘤病毒(HPV)相关癌症的发病率有所上升。据推测,这是由于未接种疫苗人群中HPV流行率上升所致,但尚未得到直接证实。
利用美国国家健康与营养检查调查(NHANES)中女性自我报告的终身性伴侣数量和HPV血清学数据,建立性伴侣获得和抗体动态的数学模型。将模拟的性行为趋势与宫颈腺癌、口咽癌和肛门癌的发病率数据进行比较。
特定年龄的HPV血清阳性率数据最好用一个伴侣获得模型来解释,该模型明确考虑了性行为中与队列相关的变化。自然抗体丧失的平均时间估计因模型而异,从49年到145年不等。过去几十年中推断的性行为趋势与美国HPV相关癌症发病率的上升趋势平行。
研究结果表明,美国老年女性中较低的HPV血清阳性率主要反映了性行为中特定队列的差异,仅在很小程度上归因于年龄相关的免疫衰退。我们的结果强调了持续监测性行为以及疫苗接种状况对于预测未来疾病负担的重要性。