Validation of the FAM19A4/mir124-2 DNA methylation test for both lavage- and brush-based self-samples to detect cervical (pre)cancer in HPV-positive women.

Autor: De Strooper LMA; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: l.destrooper@vumc.nl., Verhoef VMJ; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: v.verhoef@vumc.nl., Berkhof J; Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: h.berkhof@vumc.nl., Hesselink AT; Self-Screen B.V., Amsterdam, The Netherlands. Electronic address: b.hesselink@vumc.nl., de Bruin HME; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: hmedebruin@gmail.com., van Kemenade FJ; Department of Pathology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. Electronic address: f.vankemenade@erasmusmc.nl., Bosgraaf RP; Department of Obstetrics and Gynaecology, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: Remko.Bosgraaf@radboudumc.nl., Bekkers RLM; Department of Obstetrics and Gynaecology, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: Ruud.Bekkers@radboudumc.nl., Massuger LFAG; Department of Obstetrics and Gynaecology, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: Leon.Massuger@radboudumc.nl., Melchers WJG; Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: Willem.Melchers@radboudumc.nl., Steenbergen RDM; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: r.steenbergen@vumc.nl., Snijders PJF; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: pjf.snijders@vumc.nl., Meijer CJLM; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: cjlm.meijer@vumc.nl., Heideman DAM; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: dam.heideman@vumc.nl.
Jazyk: angličtina
Zdroj: Gynecologic oncology [Gynecol Oncol] 2016 May; Vol. 141 (2), pp. 341-347. Date of Electronic Publication: 2016 Mar 03.
DOI: 10.1016/j.ygyno.2016.02.012
Abstrakt: Objectives: DNA methylation analysis of cancer-related genes is a promising tool for HPV-positive women to identify those with cervical (pre)cancer (CIN3+) in need of treatment. However, clinical performance of methylation markers can be influenced by the sample type utilized. We describe a multiplex quantitative methylation-specific PCR that targets FAM19A4 and mir124-2 loci, to detect CIN3+ using both HPV-positive lavage- and brush self-samples.
Methods: We determined methylation thresholds for clinical classification using HPV-positive training sets comprising lavage self-samples of 182 women (including 40 with CIN3+) and brush self-samples of 224 women (including 61 with CIN3+). Subsequently, independent HPV-positive validation sets of 389 lavage self-samples (including 78 with CIN3+), and 254 brush self-samples (including 72 with CIN3+) were tested using the preset thresholds. Furthermore, the clinical performance of combined methylation analysis and HPV16/18 genotyping was determined.
Results: Training set analysis revealed similar FAM19A4 and mir124-2 thresholds for both self-sample types to yield highest CIN3+ sensitivity at 70% specificity. Validation set analysis resulted in a CIN3+ sensitivity of 70.5% (95%CI: 60.4-80.6) at a specificity of 67.8% (95%CI: 62.7-73.0) for lavage self-samples, and a CIN3+ sensitivity of 69.4% (95%CI: 58.8-80.1) at a 76.4% (95%CI: 70.2-82.6) specificity for brush self-samples. In combination with HPV16/18 genotyping, CIN3+ sensitivity and specificity were 88.5% (95%CI: 81.4-95.6) and 46.0% (95%CI: 40.4-51.5) for lavage self-samples, and 84.7% (95%CI: 76.4-93.0) and 54.9% (95%CI: 47.7-62.2) for brush self-samples.
Conclusions: FAM19A4/mir124-2 methylation analysis performs equally well in HPV-positive lavage- and brush self-samples to identify women with CIN3+. In combination with HPV16/18 genotyping, significantly higher CIN3+ sensitivities are obtained, at decreased specificity.
(Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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