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Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome

BACKGROUND: DNA hypermethylation is reported as a frequent event and prognostic marker in head and neck squamous cell carcinomas (HNSCC). Methylation has been commonly assessed with non-quantitative methodologies, such as methylation-specific PCR (MSP). We investigated previously reported hypermethy...

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Autores principales: Lim, Annette M, Candiloro, Ida LM, Wong, Nicholas, Collins, Marnie, Do, Hongdo, Takano, Elena A, Angel, Christopher, Young, Richard J, Corry, June, Wiesenfeld, David, Kleid, Stephen, Sigston, Elizabeth, Lyons, Bernard, Rischin, Danny, Solomon, Benjamin, Dobrovic, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391486/
https://www.ncbi.nlm.nih.gov/pubmed/25859283
http://dx.doi.org/10.1186/1868-7083-6-22
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author Lim, Annette M
Candiloro, Ida LM
Wong, Nicholas
Collins, Marnie
Do, Hongdo
Takano, Elena A
Angel, Christopher
Young, Richard J
Corry, June
Wiesenfeld, David
Kleid, Stephen
Sigston, Elizabeth
Lyons, Bernard
Rischin, Danny
Solomon, Benjamin
Dobrovic, Alexander
author_facet Lim, Annette M
Candiloro, Ida LM
Wong, Nicholas
Collins, Marnie
Do, Hongdo
Takano, Elena A
Angel, Christopher
Young, Richard J
Corry, June
Wiesenfeld, David
Kleid, Stephen
Sigston, Elizabeth
Lyons, Bernard
Rischin, Danny
Solomon, Benjamin
Dobrovic, Alexander
author_sort Lim, Annette M
collection PubMed
description BACKGROUND: DNA hypermethylation is reported as a frequent event and prognostic marker in head and neck squamous cell carcinomas (HNSCC). Methylation has been commonly assessed with non-quantitative methodologies, such as methylation-specific PCR (MSP). We investigated previously reported hypermethylated genes with quantitative methodology in oral tongue squamous cell carcinomas (OTSCC). RESULTS: The methylation status of 12 genes in 115 OTSCC samples was assessed by one or more of three quantitative analyses: methylation sensitive high resolution melting (MS-HRM), sensitive-melting analysis after real time-methylation specific PCR (SMART-MSP), and bisulfite pyrosequencing. In contrast to much of the literature, either no or infrequent locus-specific methylation was identified by MS-HRM for DAPK1, RASSF1A, MGMT, MLH1, APC, CDH1, CDH13, BRCA1, ERCC1, and ATM. The most frequently methylated loci were RUNX3 (18/108 methylated) and ABO (22/107 methylated). Interrogation of the Cancer Genome Atlas (TCGA) HNSCC cohort confirmed the frequency of significant methylation for the loci investigated. Heterogeneous methylation of RUNX3 (18/108) and ABO (22/107) detected by MS-HRM, conferred significantly worse survival (P = 0.01, and P = 0.03). However, following quantification of methylation levels using pyrosequencing, only four tumors had significant quantities (>15%) of RUNX3 methylation which correlated with a worse patient outcome (P <0.001), while the prognostic significance of ABO hypermethylation was lost. RUNX3 methylation was not prognostic for the TCGA cohort (P = 0.76). CONCLUSIONS: We demonstrated the critical need for quantification of methylation levels and its impact on correlative analyses. In OTSCC, we found little evidence of significant or frequent hypermethylation of many loci reported to be commonly methylated. It is likely that previous reports have overestimated the frequency of significant methylation events as a consequence of the use of non-quantitative methodology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1868-7083-6-22) contains supplementary material, which is available to authorized users.
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spelling pubmed-43914862015-04-10 Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome Lim, Annette M Candiloro, Ida LM Wong, Nicholas Collins, Marnie Do, Hongdo Takano, Elena A Angel, Christopher Young, Richard J Corry, June Wiesenfeld, David Kleid, Stephen Sigston, Elizabeth Lyons, Bernard Rischin, Danny Solomon, Benjamin Dobrovic, Alexander Clin Epigenetics Research BACKGROUND: DNA hypermethylation is reported as a frequent event and prognostic marker in head and neck squamous cell carcinomas (HNSCC). Methylation has been commonly assessed with non-quantitative methodologies, such as methylation-specific PCR (MSP). We investigated previously reported hypermethylated genes with quantitative methodology in oral tongue squamous cell carcinomas (OTSCC). RESULTS: The methylation status of 12 genes in 115 OTSCC samples was assessed by one or more of three quantitative analyses: methylation sensitive high resolution melting (MS-HRM), sensitive-melting analysis after real time-methylation specific PCR (SMART-MSP), and bisulfite pyrosequencing. In contrast to much of the literature, either no or infrequent locus-specific methylation was identified by MS-HRM for DAPK1, RASSF1A, MGMT, MLH1, APC, CDH1, CDH13, BRCA1, ERCC1, and ATM. The most frequently methylated loci were RUNX3 (18/108 methylated) and ABO (22/107 methylated). Interrogation of the Cancer Genome Atlas (TCGA) HNSCC cohort confirmed the frequency of significant methylation for the loci investigated. Heterogeneous methylation of RUNX3 (18/108) and ABO (22/107) detected by MS-HRM, conferred significantly worse survival (P = 0.01, and P = 0.03). However, following quantification of methylation levels using pyrosequencing, only four tumors had significant quantities (>15%) of RUNX3 methylation which correlated with a worse patient outcome (P <0.001), while the prognostic significance of ABO hypermethylation was lost. RUNX3 methylation was not prognostic for the TCGA cohort (P = 0.76). CONCLUSIONS: We demonstrated the critical need for quantification of methylation levels and its impact on correlative analyses. In OTSCC, we found little evidence of significant or frequent hypermethylation of many loci reported to be commonly methylated. It is likely that previous reports have overestimated the frequency of significant methylation events as a consequence of the use of non-quantitative methodology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1868-7083-6-22) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-09 /pmc/articles/PMC4391486/ /pubmed/25859283 http://dx.doi.org/10.1186/1868-7083-6-22 Text en © Lim et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lim, Annette M
Candiloro, Ida LM
Wong, Nicholas
Collins, Marnie
Do, Hongdo
Takano, Elena A
Angel, Christopher
Young, Richard J
Corry, June
Wiesenfeld, David
Kleid, Stephen
Sigston, Elizabeth
Lyons, Bernard
Rischin, Danny
Solomon, Benjamin
Dobrovic, Alexander
Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
title Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
title_full Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
title_fullStr Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
title_full_unstemmed Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
title_short Quantitative methodology is critical for assessing DNA methylation and impacts on correlation with patient outcome
title_sort quantitative methodology is critical for assessing dna methylation and impacts on correlation with patient outcome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391486/
https://www.ncbi.nlm.nih.gov/pubmed/25859283
http://dx.doi.org/10.1186/1868-7083-6-22
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