1. Identification and Validation of a 3-Gene Methylation Classifier for HPV-Based Cervical Screening on Self-Samples
- Author
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Renske D.M. Steenbergen, Putri W. Novianti, Annina P van Splunter, Carel F.W. Peeters, Leon F.A.G. Massuger, Chris J.L.M. Meijer, Willem J. G. Melchers, Daniëlle A.M. Heideman, Barbara C. Snoek, Wina Verlaat, Johannes Berkhof, Nienke E. van Trommel, Mark A. van de Wiel, Ruud L.M. Bekkers, Folkert J. van Kemenade, Saskia M. Wilting, Peter J.F. Snijders, Pathology, Center of Experimental and Molecular Medicine, CCA - Imaging and biomarkers, AII - Infectious diseases, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Epidemiology and Data Science, APH - Methodology, and NCA - Brain mechanisms in health and disease
- Subjects
Epigenomics ,0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Uterine Cervical Neoplasms ,Article ,Specimen Handling ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,All institutes and research themes of the Radboud University Medical Center ,Internal medicine ,Biomarkers, Tumor ,Humans ,Mass Screening ,Medicine ,Multiplex ,Early Detection of Cancer ,Mass screening ,Colposcopy ,Cervical cancer ,Cervical screening ,Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17] ,medicine.diagnostic_test ,business.industry ,Gene Expression Profiling ,Papillomavirus Infections ,Reproducibility of Results ,Methylation ,DNA Methylation ,medicine.disease ,Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] ,030104 developmental biology ,ROC Curve ,chemistry ,Case-Control Studies ,030220 oncology & carcinogenesis ,DNA methylation ,Female ,business ,DNA - Abstract
Purpose: 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. Experimental Design: We determined genome-wide DNA methylation profiles of 72 hrHPV-positive self-samples, using the Infinium Methylation 450K Array. The selected DNA methylation markers were evaluated by multiplex quantitative methylation-specific PCR (qMSP) in both hrHPV-positive lavage (n = 245) and brush (n = 246) self-samples from screening cohorts. Subsequently, logistic regression analysis was performed to build a DNA methylation classifier for CIN3 detection applicable to self-samples of both devices. For validation, an independent set of hrHPV-positive lavage (n = 199) and brush (n = 287) self-samples was analyzed. Results: Genome-wide DNA methylation profiling revealed 12 DNA methylation markers for CIN3 detection. Multiplex qMSP analysis of these markers in large series of lavage and brush self-samples yielded a 3-gene methylation classifier (ASCL1, LHX8, and ST6GALNAC5). This classifier showed a very good clinical performance for CIN3 detection in both lavage (AUC = 0.88; sensitivity = 74%; specificity = 79%) and brush (AUC = 0.90; sensitivity = 88%; specificity = 81%) self-samples in the validation set. Importantly, all self-samples from women with cervical cancer scored DNA methylation–positive. Conclusions: By genome-wide DNA methylation profiling on self-samples, we identified a highly effective 3-gene methylation classifier for direct triage on hrHPV-positive self-samples, which is superior to currently available methods. Clin Cancer Res; 24(14); 3456–64. ©2018 AACR.
- Published
- 2018