Quantitative DNA methylation analysis of candidate genes in cervical cancer.

Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in c...

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Main Authors: Erin M Siegel, Bridget M Riggs, Amber L Delmas, Abby Koch, Ardeshir Hakam, Kevin D Brown
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4380427?pdf=render
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spelling doaj-199aba5fbdc34087b968151fcbc7356e2020-11-25T02:34:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01103e012249510.1371/journal.pone.0122495Quantitative DNA methylation analysis of candidate genes in cervical cancer.Erin M SiegelBridget M RiggsAmber L DelmasAbby KochArdeshir HakamKevin D BrownAberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2). A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site) per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC) of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97-1.00, p-value = 0.003). Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated.http://europepmc.org/articles/PMC4380427?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Erin M Siegel
Bridget M Riggs
Amber L Delmas
Abby Koch
Ardeshir Hakam
Kevin D Brown
spellingShingle Erin M Siegel
Bridget M Riggs
Amber L Delmas
Abby Koch
Ardeshir Hakam
Kevin D Brown
Quantitative DNA methylation analysis of candidate genes in cervical cancer.
PLoS ONE
author_facet Erin M Siegel
Bridget M Riggs
Amber L Delmas
Abby Koch
Ardeshir Hakam
Kevin D Brown
author_sort Erin M Siegel
title Quantitative DNA methylation analysis of candidate genes in cervical cancer.
title_short Quantitative DNA methylation analysis of candidate genes in cervical cancer.
title_full Quantitative DNA methylation analysis of candidate genes in cervical cancer.
title_fullStr Quantitative DNA methylation analysis of candidate genes in cervical cancer.
title_full_unstemmed Quantitative DNA methylation analysis of candidate genes in cervical cancer.
title_sort quantitative dna methylation analysis of candidate genes in cervical cancer.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2). A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site) per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC) of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97-1.00, p-value = 0.003). Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated.
url http://europepmc.org/articles/PMC4380427?pdf=render
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