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pubmed-article:17722112pubmed:abstractTextCervicovaginal human papillomavirus (HPV) viral load has been purported as a potential marker for the detection of high-grade cervical intraepithelial neoplasia or cancer (>/=CIN2). To examine disease association with type-specific viral load for the full-range of anogenital HPV infections, we conducted cross-sectional and prospective analyses of approximately 2,000 HPV-infected women from a 10,000-woman population-based study in Guanacaste, Costa Rica with 7 years of follow-up. Cervical specimens were tested for >40 HPV types using a MY09/MY11 L1 consensus primer PCR method with type-specific dot blot hybridization and PCR signal intensity as a measure of viral load. A positive association was observed between prevalent >/=CIN2 and high viral load compared to low viral load for women with baseline single HPV16 infections (OR = 19.2, 95% CI = 4.4-83.2) and single non-16 carcinogenic infections (OR = 9.2, 95% CI = 2.1-39.9). Inclusion of women with multiple HPV types did not substantially change these associations. In prospective follow-up, only women infected with HPV16 alone (OR = 27.2, 95% = 3.5-213.5) had a strong association between high viral load and incident >/=CIN2; non-16 carcinogenic high viral load was not associated with incident >/=CIN2 (OR = 0.7, 95% CI = 0.2-1.9). Single noncarcinogenic type viral load was not associated with increased risk of prevalent or incident >/=CIN2 (OR = 1.2 and 1.1, respectively). In conclusion, carcinogenic high viral load was associated with prevalent >/=CIN2; however HPV16 was uniquely associated with incident >/=CIN2. The extent to which these observations can be translated into clinical practice must be rigorously examined in the context of the method of viral load measurement and the type-specific differences observed for incident >/=CIN2.lld:pubmed
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pubmed-article:17722112pubmed:articleTitleHigh load for most high risk human papillomavirus genotypes is associated with prevalent cervical cancer precursors but only HPV16 load predicts the development of incident disease.lld:pubmed
pubmed-article:17722112pubmed:affiliationDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. pgravitt@jhsph.edulld:pubmed
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pubmed-article:17722112pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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