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HPV 感染的自然史:病毒潜伏期的作用。

Natural History of HPV Infection across the Lifespan: Role of Viral Latency.

机构信息

Department of Global Health, George Washington University Milken Institute School of Public Health, Washington, DC 20052, USA.

Department of Epidemiology, University of Washington School of Public Health, Seattle, WA 98195, USA.

出版信息

Viruses. 2017 Sep 21;9(10):267. doi: 10.3390/v9100267.

Abstract

Large-scale epidemiologic studies have been invaluable for elaboration of the causal relationship between persistent detection of genital human papillomavirus (HPV) infection and the development of invasive cervical cancer. However, these studies provide limited data to adequately inform models of the individual-level natural history of HPV infection over the course of a lifetime, and particularly ignore the biological distinction between HPV-negative tests and lack of infection (i.e., the possibility of latent, undetectable HPV infection). Using data from more recent epidemiological studies, this review proposes an alternative model of the natural history of genital HPV across the life span. We argue that a more complete elucidation of the age-specific probabilities of the alternative transitions is highly relevant with the expanded use of HPV testing in cervical cancer screening. With routine HPV testing in cervical cancer screening, women commonly transition in and out of HPV detectability, raising concerns for the patient and the provider regarding the source of the positive test result, its prognosis, and effective strategies to prevent future recurrence. Alternative study designs and analytic frameworks are proposed to better understand the frequency and determinants of these transition pathways.

摘要

大规模的流行病学研究对于阐明生殖器人乳头瘤病毒(HPV)持续感染与浸润性宫颈癌发展之间的因果关系非常有价值。然而,这些研究提供的数据有限,无法充分告知关于 HPV 感染个体终身自然史的模型,特别是忽略了 HPV 阴性检测与无感染之间的生物学区别(即,潜伏、不可检测的 HPV 感染的可能性)。本综述利用最近的流行病学研究数据,提出了一种替代的生殖器 HPV 终身自然史模型。我们认为,对于替代转变的特定年龄的概率的更完整阐明,对于 HPV 检测在宫颈癌筛查中的广泛应用具有高度相关性。随着宫颈癌筛查中常规 HPV 检测的应用,女性通常会在 HPV 可检测性上进出,这引起了患者和提供者对阳性检测结果的来源、其预后以及预防未来复发的有效策略的关注。提出了替代的研究设计和分析框架,以更好地了解这些转变途径的频率和决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/407c/5691619/49abeae2282b/viruses-09-00267-g001.jpg

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