| Literature DB >> 28500655 |
Megan A Clarke1, Patricia Luhn2, Julia C Gage1, Clara Bodelon1, S Terence Dunn3, Joan Walker3, Rosemary Zuna3, Stephen Hewitt4, J Keith Killian4, Liying Yan5, Andrew Miller5, Mark Schiffman1, Nicolas Wentzensen1.
Abstract
Human papillomavirus (HPV) testing has been recently introduced as an alternative to cytology for cervical cancer screening. However, since most HPV infections clear without causing clinically relevant lesions, additional triage tests are required to identify women who are at high risk of developing cancer. We performed DNA methylation profiling on formalin-fixed, paraffin-embedded tissue specimens from women with benign HPV16 infection and histologically confirmed cervical intraepithelial neoplasia grade 3, and cancer using a bead-based microarray covering 1,500 CpG sites in over 800 genes. Methylation levels in individual CpG sites were compared using a t-test, and results were summarized by computing p-values. A total of 12 candidate genes (ADCYAP1, ASCL1, ATP10, CADM1, DCC, DBC1, HS3ST2, MOS, MYOD1, SOX1, SOX17 and TMEFF2) identified by DNA methylation profiling, plus an additional three genes identified from the literature (EPB41L3, MAL and miR-124) were chosen for validation in an independent set of 167 liquid-based cytology specimens using pyrosequencing and targeted, next-generation bisulfite sequencing. Of the 15 candidate gene markers, 10 had an area under the curve (AUC) of ≥ 0.75 for discrimination of high grade squamous intraepithelial lesions or worse (HSIL+) from <HSIL cytology using at least one assay. Overall, SOX1, DCC, and EPB41L3 showed the best discrimination with AUC values of ≥0.80, irrespective of methylation detection assay. In addition to verifying candidate markers from the literature (e.g., SOX1 and EPB41L3), we identified novel markers that may be considered for detection of cervical precancer and cancer and warrant further validation in prospective studies.Entities:
Keywords: cervical cancer; human papillomavirus; methylation; next-generation sequencing; pyrosequencing
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Year: 2017 PMID: 28500655 PMCID: PMC6774256 DOI: 10.1002/ijc.30781
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396