1. Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV-positive women: Results from a Dutch primary HPV-based screening cohort.
- Author
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Verhoef L, Bleeker MCG, Polman N, Steenbergen RDM, Meijer CJLM, Melchers WJG, Bekkers RL, Molijn AC, Quint WG, van Kemenade FJ, Berkhof J, and Heideman DAM
- Subjects
- Adult, Basic Helix-Loop-Helix Transcription Factors genetics, Cohort Studies, Female, Humans, LIM-Homeodomain Proteins genetics, Middle Aged, Receptors, Ghrelin genetics, Sialyltransferases genetics, Somatostatin genetics, Transcription Factors genetics, Uterine Cervical Neoplasms virology, Uterine Cervical Dysplasia virology, DNA Methylation, Papillomaviridae isolation & purification, Triage, Uterine Cervical Neoplasms genetics, Uterine Cervical Dysplasia genetics
- Abstract
Methylation of host-cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high-risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host-cell DNA methylation markers for triage in an hrHPV-positive cohort derived from primary HPV-based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation-specific PCR (qMSP) in clinician-collected cervical samples (n = 715) from hrHPV-positive women (age 29-60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end-point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single-marker and bi-marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV-positive clinician-collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi-marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3-85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1-77.9%). In conclusion, our study shows that the individual host-cell DNA methylation classifiers and the bi-marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV-positive women invited for routine screening., (© 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
- Published
- 2022
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