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Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer

BACKGROUND: Aberrant DNA methylation profiles are a characteristic of all known cancer types, epitomized by the CpG island methylator phenotype (CIMP) in colorectal cancer (CRC). Hypermethylation has been observed at CpG islands throughout the genome, but it is unclear which factors determine whethe...

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Autores principales: McInnes, Tyler, Zou, Donghui, Rao, Dasari S., Munro, Francesca M., Phillips, Vicky L., McCall, John L., Black, Michael A., Reeve, Anthony E., Guilford, Parry J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371203/
https://www.ncbi.nlm.nih.gov/pubmed/28351398
http://dx.doi.org/10.1186/s12885-017-3226-4
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author McInnes, Tyler
Zou, Donghui
Rao, Dasari S.
Munro, Francesca M.
Phillips, Vicky L.
McCall, John L.
Black, Michael A.
Reeve, Anthony E.
Guilford, Parry J.
author_facet McInnes, Tyler
Zou, Donghui
Rao, Dasari S.
Munro, Francesca M.
Phillips, Vicky L.
McCall, John L.
Black, Michael A.
Reeve, Anthony E.
Guilford, Parry J.
author_sort McInnes, Tyler
collection PubMed
description BACKGROUND: Aberrant DNA methylation profiles are a characteristic of all known cancer types, epitomized by the CpG island methylator phenotype (CIMP) in colorectal cancer (CRC). Hypermethylation has been observed at CpG islands throughout the genome, but it is unclear which factors determine whether an individual island becomes methylated in cancer. METHODS: DNA methylation in CRC was analysed using the Illumina HumanMethylation450K array. Differentially methylated loci were identified using Significance Analysis of Microarrays (SAM) and the Wilcoxon Signed Rank (WSR) test. Unsupervised hierarchical clustering was used to identify methylation subtypes in CRC. RESULTS: In this study we characterized the DNA methylation profiles of 94 CRC tissues and their matched normal counterparts. Consistent with previous studies, unsupervized hierarchical clustering of genome-wide methylation data identified three subtypes within the tumour samples, designated CIMP-H, CIMP-L and CIMP-N, that showed high, low and very low methylation levels, respectively. Differential methylation between normal and tumour samples was analysed at the individual CpG level, and at the gene level. The distribution of hypermethylation in CIMP-N tumours showed high inter-tumour variability and appeared to be highly stochastic in nature, whereas CIMP-H tumours exhibited consistent hypermethylation at a subset of genes, in addition to a highly variable background of hypermethylated genes. EYA4, TFPI2 and TLX1 were hypermethylated in more than 90% of all tumours examined. One-hundred thirty-two genes were hypermethylated in 100% of CIMP-H tumours studied and these were highly enriched for functions relating to skeletal system development (Bonferroni adjusted p value =2.88E-15), segment specification (adjusted p value =9.62E-11), embryonic development (adjusted p value =1.52E-04), mesoderm development (adjusted p value =1.14E-20), and ectoderm development (adjusted p value =7.94E-16). CONCLUSIONS: Our genome-wide characterization of DNA methylation in colorectal cancer has identified 132 genes hypermethylated in 100% of CIMP-H samples. Three genes, EYA4, TLX1 and TFPI2 are hypermethylated in >90% of all tumour samples, regardless of CIMP subtype. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-017-3226-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-53712032017-03-30 Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer McInnes, Tyler Zou, Donghui Rao, Dasari S. Munro, Francesca M. Phillips, Vicky L. McCall, John L. Black, Michael A. Reeve, Anthony E. Guilford, Parry J. BMC Cancer Research Article BACKGROUND: Aberrant DNA methylation profiles are a characteristic of all known cancer types, epitomized by the CpG island methylator phenotype (CIMP) in colorectal cancer (CRC). Hypermethylation has been observed at CpG islands throughout the genome, but it is unclear which factors determine whether an individual island becomes methylated in cancer. METHODS: DNA methylation in CRC was analysed using the Illumina HumanMethylation450K array. Differentially methylated loci were identified using Significance Analysis of Microarrays (SAM) and the Wilcoxon Signed Rank (WSR) test. Unsupervised hierarchical clustering was used to identify methylation subtypes in CRC. RESULTS: In this study we characterized the DNA methylation profiles of 94 CRC tissues and their matched normal counterparts. Consistent with previous studies, unsupervized hierarchical clustering of genome-wide methylation data identified three subtypes within the tumour samples, designated CIMP-H, CIMP-L and CIMP-N, that showed high, low and very low methylation levels, respectively. Differential methylation between normal and tumour samples was analysed at the individual CpG level, and at the gene level. The distribution of hypermethylation in CIMP-N tumours showed high inter-tumour variability and appeared to be highly stochastic in nature, whereas CIMP-H tumours exhibited consistent hypermethylation at a subset of genes, in addition to a highly variable background of hypermethylated genes. EYA4, TFPI2 and TLX1 were hypermethylated in more than 90% of all tumours examined. One-hundred thirty-two genes were hypermethylated in 100% of CIMP-H tumours studied and these were highly enriched for functions relating to skeletal system development (Bonferroni adjusted p value =2.88E-15), segment specification (adjusted p value =9.62E-11), embryonic development (adjusted p value =1.52E-04), mesoderm development (adjusted p value =1.14E-20), and ectoderm development (adjusted p value =7.94E-16). CONCLUSIONS: Our genome-wide characterization of DNA methylation in colorectal cancer has identified 132 genes hypermethylated in 100% of CIMP-H samples. Three genes, EYA4, TLX1 and TFPI2 are hypermethylated in >90% of all tumour samples, regardless of CIMP subtype. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-017-3226-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-28 /pmc/articles/PMC5371203/ /pubmed/28351398 http://dx.doi.org/10.1186/s12885-017-3226-4 Text en © The Author(s). 2017 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 Article
McInnes, Tyler
Zou, Donghui
Rao, Dasari S.
Munro, Francesca M.
Phillips, Vicky L.
McCall, John L.
Black, Michael A.
Reeve, Anthony E.
Guilford, Parry J.
Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer
title Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer
title_full Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer
title_fullStr Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer
title_full_unstemmed Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer
title_short Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer
title_sort genome-wide methylation analysis identifies a core set of hypermethylated genes in cimp-h colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371203/
https://www.ncbi.nlm.nih.gov/pubmed/28351398
http://dx.doi.org/10.1186/s12885-017-3226-4
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