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Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas

BACKGROUND: DNA methylation profiling of heterogeneous head and neck squamous cell carcinoma (HNSCC) cohorts has been reported to predict patient outcome. We investigated if a prognostic DNA methylation profile could be found in tumour tissue from a single uniform subsite, the oral tongue. The methy...

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Autores principales: Lim, Annette M., Wong, Nicholas C., Pidsley, Ruth, Zotenko, Elena, Corry, June, Dobrovic, Alexander, Clark, Susan J., Rischin, Danny, Solomon, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948090/
https://www.ncbi.nlm.nih.gov/pubmed/27433284
http://dx.doi.org/10.1186/s13148-016-0235-0
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author Lim, Annette M.
Wong, Nicholas C.
Pidsley, Ruth
Zotenko, Elena
Corry, June
Dobrovic, Alexander
Clark, Susan J.
Rischin, Danny
Solomon, Benjamin
author_facet Lim, Annette M.
Wong, Nicholas C.
Pidsley, Ruth
Zotenko, Elena
Corry, June
Dobrovic, Alexander
Clark, Susan J.
Rischin, Danny
Solomon, Benjamin
author_sort Lim, Annette M.
collection PubMed
description BACKGROUND: DNA methylation profiling of heterogeneous head and neck squamous cell carcinoma (HNSCC) cohorts has been reported to predict patient outcome. We investigated if a prognostic DNA methylation profile could be found in tumour tissue from a single uniform subsite, the oral tongue. The methylation status of 109 comprehensively annotated oral tongue squamous cell carcinoma (OTSCC) formalin-fixed paraffin-embedded (FFPE) samples from a single institution were examined with the Illumina HumanMethylation450K (HM450K) array. Data pre-processing, quality control and analysis were performed using R packages. Probes mapping to SNPs, sex chromosomes and unreliable probes were accounted for prior to downstream analyses. The relationship between methylation and patient survival was examined using both agnostic approaches and feature selection. The cohort was enlarged by incorporation of 331 The Cancer Genome Atlas (TCGA) HNSCC samples, which included 91 TCGA OTSCC samples with HM450K and survival data available. RESULTS: Given the use of FFPE-derived DNA, we defined different cohorts for separate analyses. Overall, similar results were found between cohorts. With an unsupervised approach, no distinct hypermethylated group of samples was identified and nor was a prognostic methylation profile identified. The use of multiple downstream feature selection approaches, including a linear models for microarray data (LIMMA), centroid feature selection (CFS), and recursive feature elimination (RFE) support vector machines, similarly failed to identify a significant methylation signature informative for patient prognosis or any clinicopathological data available. Furthermore, we were unable to confirm the prognostic methylation profiles or specific prognostic loci reported within the literature for HNSCC. CONCLUSIONS: With genome-scale assessment of DNA methylation using HM450K in one of the largest OTSCC cohorts to date, we were unable to identify a hypermethylated group of tumours or a prognostic methylation signature. This suggests that either DNA methylation in isolation is not likely to be of prognostic value or larger cohorts are required to identify such a biomarker for OTSCC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0235-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-49480902016-07-19 Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas Lim, Annette M. Wong, Nicholas C. Pidsley, Ruth Zotenko, Elena Corry, June Dobrovic, Alexander Clark, Susan J. Rischin, Danny Solomon, Benjamin Clin Epigenetics Research BACKGROUND: DNA methylation profiling of heterogeneous head and neck squamous cell carcinoma (HNSCC) cohorts has been reported to predict patient outcome. We investigated if a prognostic DNA methylation profile could be found in tumour tissue from a single uniform subsite, the oral tongue. The methylation status of 109 comprehensively annotated oral tongue squamous cell carcinoma (OTSCC) formalin-fixed paraffin-embedded (FFPE) samples from a single institution were examined with the Illumina HumanMethylation450K (HM450K) array. Data pre-processing, quality control and analysis were performed using R packages. Probes mapping to SNPs, sex chromosomes and unreliable probes were accounted for prior to downstream analyses. The relationship between methylation and patient survival was examined using both agnostic approaches and feature selection. The cohort was enlarged by incorporation of 331 The Cancer Genome Atlas (TCGA) HNSCC samples, which included 91 TCGA OTSCC samples with HM450K and survival data available. RESULTS: Given the use of FFPE-derived DNA, we defined different cohorts for separate analyses. Overall, similar results were found between cohorts. With an unsupervised approach, no distinct hypermethylated group of samples was identified and nor was a prognostic methylation profile identified. The use of multiple downstream feature selection approaches, including a linear models for microarray data (LIMMA), centroid feature selection (CFS), and recursive feature elimination (RFE) support vector machines, similarly failed to identify a significant methylation signature informative for patient prognosis or any clinicopathological data available. Furthermore, we were unable to confirm the prognostic methylation profiles or specific prognostic loci reported within the literature for HNSCC. CONCLUSIONS: With genome-scale assessment of DNA methylation using HM450K in one of the largest OTSCC cohorts to date, we were unable to identify a hypermethylated group of tumours or a prognostic methylation signature. This suggests that either DNA methylation in isolation is not likely to be of prognostic value or larger cohorts are required to identify such a biomarker for OTSCC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0235-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-18 /pmc/articles/PMC4948090/ /pubmed/27433284 http://dx.doi.org/10.1186/s13148-016-0235-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
Wong, Nicholas C.
Pidsley, Ruth
Zotenko, Elena
Corry, June
Dobrovic, Alexander
Clark, Susan J.
Rischin, Danny
Solomon, Benjamin
Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
title Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
title_full Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
title_fullStr Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
title_full_unstemmed Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
title_short Genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
title_sort genome-scale methylation assessment did not identify prognostic biomarkers in oral tongue carcinomas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948090/
https://www.ncbi.nlm.nih.gov/pubmed/27433284
http://dx.doi.org/10.1186/s13148-016-0235-0
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