Identification and validation of a 3-gene methylation classifier for HPV-based cervical screening on self-samples

Wina Verlaat, Barbara C Snoek, Daniëlle A.M. Heideman, Saskia M Wilting, Peter J.F. Snijders, Putri W. Novianti, Annina P. van Splunter, Carel F.W. Peeters, Nienke E van Trommel, Leon F.A.G. Massuger, Ruud L.M. Bekkers, Willem JG Melchers, Folkert J. van Kemenade, Johannes Berkhof, Mark A. van de Wiel, Chris J.L.M. Meijer, Renske D.M. Steenbergen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Offering self-sampling of cervico-vaginal material for high-risk human papillomavirus (hrHPV) testing is an effective method to increase the coverage in cervical screening programs. Molecular triage directly on hrHPV-positive self-samples for colposcopy referral opens the way to full molecular cervical screening. Here, we set out to identify a DNA methylation classifier for detection of cervical precancer (CIN3) and cancer, applicable to lavage and brush self-samples.
Original languageEnglish
Pages (from-to)clincanres.3615.2017
JournalClinical Cancer Research
DOIs
Publication statusPublished - 9 Apr 2018

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