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dc.contributor.authorLouvanto, Ken_US
dc.contributor.authorAro, Ken_US
dc.contributor.authorNedjai, Ben_US
dc.contributor.authorBützow, Ren_US
dc.contributor.authorJakobsson, Men_US
dc.contributor.authorKalliala, Ien_US
dc.contributor.authorDillner, Jen_US
dc.contributor.authorNieminen, Pen_US
dc.contributor.authorLorincz, Aen_US
dc.date.accessioned2019-09-06T10:13:46Z
dc.date.available2019-06-28en_US
dc.date.issued2020-06-10en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/59539
dc.description.abstractBACKGROUND: There is no prognostic test to ascertain whether cervical intraepithelial neoplasias (CINs) regress or progress. The majority of CINs regress in young women, and treatments increase the risk of adverse pregnancy outcomes. We investigated the ability of a DNA methylation panel (the S5 classifier) to discriminate between outcomes among young women with untreated CIN grade 2 (CIN2). METHODS: Baseline pyrosequencing methylation and human papillomavirus (HPV) genotyping assays were performed on cervical cells from 149 women with CIN2 in a 2-year cohort study of active surveillance. RESULTS: Twenty-five lesions progressed to CIN grade 3 or worse, 88 regressed to less than CIN grade 1, and 36 persisted as CIN1/2. When cytology, HPV16/18 and HPV16/18/31/33 genotyping, and the S5 classifier were compared to outcomes, the S5 classifier was the strongest biomarker associated with regression vs progression. The S5 classifier alone or in combination with HPV16/18/31/33 genotyping also showed significantly increased sensitivity vs cytology when comparing regression vs persistence/progression. With both the S5 classifier and cytology set at a specificity of 38.6% (95% confidence interval [CI], 28.4-49.6), the sensitivity of the S5 classifier was significantly higher (83.6%; 95% CI, 71.9-91.8) than of cytology (62.3%; 95% CI, 49.0-74.4; P = 0.005). The highest area under the curve was 0.735 (95% CI, 0.621-0.849) in comparing regression vs progression with a combination of the S5 classifier and cytology, whereas HPV genotyping did not provide additional information. CONCLUSIONS: The S5 classifier shows high potential as a prognostic biomarker to identify progressive CIN2.en_US
dc.format.extent2582 - 2590en_US
dc.languageengen_US
dc.relation.ispartofClin Infect Disen_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.subjectCINen_US
dc.subjectDNA methylationen_US
dc.subjectHSILen_US
dc.subjectcervical intraepithelial neoplasiaen_US
dc.subjecthigh-grade squamous intraepithelial lesionen_US
dc.titleMethylation in Predicting Progression of Untreated High-grade Cervical Intraepithelial Neoplasia.en_US
dc.typeArticle
dc.rights.holder© The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America.
dc.identifier.doi10.1093/cid/ciz677en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/31344234en_US
pubs.issue12en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume70en_US
dcterms.dateAccepted2019-07-23en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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