Literature DB >> 24474183

Methylation marker analysis of self-sampled cervico-vaginal lavage specimens to triage high-risk HPV-positive women for colposcopy.

A T Hesselink1, D A M Heideman, R D M Steenbergen, M Gök, F J van Kemenade, S M Wilting, J Berkhof, C J L M Meijer, P J F Snijders.   

Abstract

Methylation markers were studied for their suitability to triage human papillomavirus (HPV)-positive women by testing self-collected cervico-vaginal lavage specimens. For this purpose, we analyzed 355 hrHPV-positive self-collected specimens with three methylation markers, that is, CADM1-m18, MAL-m1 and miR-124-2 by quantitative methylation-specific PCR. The areas under the receiver-operating characteristic (ROC) curve for end-point cervical intraepithelial neoplasia grade 3 or worse (CIN3+) were 0.637 for CADM1-m18, 0.767 for MAL-m1 and 0.762 for miR-124-2. This indicates that CADM1-m18 is not suitable as single marker. By varying the thresholds of both markers in the bi-marker panels CADM1-m18/MAL-m1, CADM1-m18/miR-124-2 and MAL-m1/miR-124-2 upper and lower ROC curves were obtained, depicting the maximum and minimum CIN3+ sensitivity, respectively, at given specificity. For all these bi-marker combinations, the upper curves were similar. However, for the MAL-m1/miR-124-2 panel, the distance between upper and lower ROC curves was closest and this panel displayed the highest assay thresholds, indicating that this combination was most robust. At clinical specificities of 50 and 70%, the MAL-m1/miR-124-2 sensitivity for detection of CIN3+ ranged from 77.0 to 87.8% and from 64.9 to 71.6%, respectively. At 70% specificity thresholds no carcinomas were missed. By comparison, the CIN3+ sensitivity of HPV16/18 genotyping on the self-sampled lavage specimens was 58.1% (95%CI: 46.6-68.8) at a specificity of 87.7% (95%CI: 83.2-91.2). In conclusion, methylation analysis is a promising triage tool that in combination with HPV-DNA testing offers feasible, full molecular screening on self-collected cervico-vaginal lavage specimens.
© 2014 UICC.

Entities:  

Keywords:  CIN; DNA methylation; HPV; cervical cancer; cervical scrapes; qMSP; self-sampling; tumor suppressor genes

Mesh:

Substances:

Year:  2014        PMID: 24474183     DOI: 10.1002/ijc.28723

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  22 in total

1.  Discovery and validation of candidate host DNA methylation markers for detection of cervical precancer and cancer.

Authors:  Megan A Clarke; Patricia Luhn; Julia C Gage; Clara Bodelon; S Terence Dunn; Joan Walker; Rosemary Zuna; Stephen Hewitt; J Keith Killian; Liying Yan; Andrew Miller; Mark Schiffman; Nicolas Wentzensen
Journal:  Int J Cancer       Date:  2017-05-26       Impact factor: 7.396

Review 2.  Clinical implications of (epi)genetic changes in HPV-induced cervical precancerous lesions.

Authors:  Renske D M Steenbergen; Peter J F Snijders; Daniëlle A M Heideman; Chris J L M Meijer
Journal:  Nat Rev Cancer       Date:  2014-06       Impact factor: 60.716

3.  Human Papillomavirus DNA Methylation as a Biomarker for Cervical Precancer: Consistency across 12 Genotypes and Potential Impact on Management of HPV-Positive Women.

Authors:  Megan A Clarke; Ana Gradissimo; Nicolas Wentzensen; Robert D Burk; Mark Schiffman; Jessica Lam; Christopher C Sollecito; Barbara Fetterman; Thomas Lorey; Nancy Poitras; Tina R Raine-Bennett; Philip E Castle
Journal:  Clin Cancer Res       Date:  2018-02-02       Impact factor: 12.531

Review 4.  Epigenetic and Transcriptomic Regulation Landscape in HPV+ Cancers: Biological and Clinical Implications.

Authors:  Rosario Castro-Oropeza; Patricia Piña-Sánchez
Journal:  Front Genet       Date:  2022-06-14       Impact factor: 4.772

Review 5.  HPV and anal cancer in HIV-infected individuals: a review.

Authors:  Maarten F Schim van der Loeff; Sofie H Mooij; Oliver Richel; Henry J C de Vries; Jan M Prins
Journal:  Curr HIV/AIDS Rep       Date:  2014-09       Impact factor: 5.071

6.  Identification and Validation of a 3-Gene Methylation Classifier for HPV-Based Cervical Screening on Self-Samples.

Authors:  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 J G Melchers; Folkert J van Kemenade; Johannes Berkhof; Mark A van de Wiel; Chris J L M Meijer; Renske D M Steenbergen
Journal:  Clin Cancer Res       Date:  2018-04-09       Impact factor: 12.531

7.  Triage of human papillomavirus infected women by methylation analysis in first-void urine.

Authors:  Severien Van Keer; Annina P van Splunter; Jade Pattyn; Annemie De Smet; Sereina A Herzog; Xaveer Van Ostade; Wiebren A A Tjalma; Margareta Ieven; Pierre Van Damme; Renske D M Steenbergen; Alex Vorsters
Journal:  Sci Rep       Date:  2021-04-12       Impact factor: 4.379

8.  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.

Authors:  Lise M A De Strooper; Viola M J Verhoef; Johannes Berkhof; Albertus T Hesselink; Helena M E de Bruin; Folkert J van Kemenade; Remko P Bosgraaf; Ruud L M Bekkers; Leon F A G Massuger; Willem J G Melchers; Renske D M Steenbergen; Peter J F Snijders; Chris J L M Meijer; Daniëlle A M Heideman
Journal:  Gynecol Oncol       Date:  2016-03-03       Impact factor: 5.482

9.  DNA methylation analysis in self-sampled brush material as a triage test in hrHPV-positive women.

Authors:  A Boers; R P Bosgraaf; R W van Leeuwen; E Schuuring; D A M Heideman; L F A G Massuger; V M J Verhoef; J Bulten; W J G Melchers; A G J van der Zee; R L M Bekkers; G B A Wisman
Journal:  Br J Cancer       Date:  2014-07-17       Impact factor: 7.640

Review 10.  Cancer diagnostic classifiers based on quantitative DNA methylation.

Authors:  Attila T Lorincz
Journal:  Expert Rev Mol Diagn       Date:  2014-04       Impact factor: 5.225

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