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Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data

Apart from genetic mutations, epigenetic alteration is a common phenomenon that contributes to neoplastic transformation in colorectal cancer. Transcriptional silencing of tumor-suppressor genes without changes in the DNA sequence is explained by the existence of promoter hypermethylation. To test t...

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Autores principales: KOK-SIN, TEOW, MOKHTAR, NORFILZA MOHD, HASSAN, NUR ZARINA ALI, SAGAP, ISMAIL, ROSE, ISA MOHAMED, HARUN, ROSLAN, JAMAL, RAHMAN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484611/
https://www.ncbi.nlm.nih.gov/pubmed/25997610
http://dx.doi.org/10.3892/or.2015.3993
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author KOK-SIN, TEOW
MOKHTAR, NORFILZA MOHD
HASSAN, NUR ZARINA ALI
SAGAP, ISMAIL
ROSE, ISA MOHAMED
HARUN, ROSLAN
JAMAL, RAHMAN
author_facet KOK-SIN, TEOW
MOKHTAR, NORFILZA MOHD
HASSAN, NUR ZARINA ALI
SAGAP, ISMAIL
ROSE, ISA MOHAMED
HARUN, ROSLAN
JAMAL, RAHMAN
author_sort KOK-SIN, TEOW
collection PubMed
description Apart from genetic mutations, epigenetic alteration is a common phenomenon that contributes to neoplastic transformation in colorectal cancer. Transcriptional silencing of tumor-suppressor genes without changes in the DNA sequence is explained by the existence of promoter hypermethylation. To test this hypothesis, we integrated the epigenome and transcriptome data from a similar set of colorectal tissue samples. Methylation profiling was performed using the Illumina InfiniumHumanMethylation27 BeadChip on 55 paired cancer and adjacent normal epithelial cells. Fifteen of the 55 paired tissues were used for gene expression profiling using the Affymetrix GeneChip Human Gene 1.0 ST array. Validation was carried out on 150 colorectal tissues using the methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) technique. PCA and supervised hierarchical clustering in the two microarray datasets showed good separation between cancer and normal samples. Significant genes from the two analyses were obtained based on a ≥2-fold change and a false discovery rate (FDR) P-value of <0.05. We identified 1,081 differentially hypermethylated CpG sites and 36 hypomethylated CpG sites. We also found 709 upregulated and 699 downregulated genes from the gene expression profiling. A comparison of the two datasets revealed 32 overlapping genes with 27 being hypermethylated with downregulated expression and 4 hypermethylated with upregulated expression. One gene was found to be hypomethylated and downregulated. The most enriched molecular pathway identified was cell adhesion molecules that involved 4 overlapped genes, JAM2, NCAM1, ITGA8 and CNTN1. In the present study, we successfully identified a group of genes that showed methylation and gene expression changes in well-defined colorectal cancer tissues with high purity. The integrated analysis gives additional insight regarding the regulation of colorectal cancer-associated genes and their underlying mechanisms that contribute to colorectal carcinogenesis.
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spelling pubmed-44846112015-07-13 Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data KOK-SIN, TEOW MOKHTAR, NORFILZA MOHD HASSAN, NUR ZARINA ALI SAGAP, ISMAIL ROSE, ISA MOHAMED HARUN, ROSLAN JAMAL, RAHMAN Oncol Rep Articles Apart from genetic mutations, epigenetic alteration is a common phenomenon that contributes to neoplastic transformation in colorectal cancer. Transcriptional silencing of tumor-suppressor genes without changes in the DNA sequence is explained by the existence of promoter hypermethylation. To test this hypothesis, we integrated the epigenome and transcriptome data from a similar set of colorectal tissue samples. Methylation profiling was performed using the Illumina InfiniumHumanMethylation27 BeadChip on 55 paired cancer and adjacent normal epithelial cells. Fifteen of the 55 paired tissues were used for gene expression profiling using the Affymetrix GeneChip Human Gene 1.0 ST array. Validation was carried out on 150 colorectal tissues using the methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) technique. PCA and supervised hierarchical clustering in the two microarray datasets showed good separation between cancer and normal samples. Significant genes from the two analyses were obtained based on a ≥2-fold change and a false discovery rate (FDR) P-value of <0.05. We identified 1,081 differentially hypermethylated CpG sites and 36 hypomethylated CpG sites. We also found 709 upregulated and 699 downregulated genes from the gene expression profiling. A comparison of the two datasets revealed 32 overlapping genes with 27 being hypermethylated with downregulated expression and 4 hypermethylated with upregulated expression. One gene was found to be hypomethylated and downregulated. The most enriched molecular pathway identified was cell adhesion molecules that involved 4 overlapped genes, JAM2, NCAM1, ITGA8 and CNTN1. In the present study, we successfully identified a group of genes that showed methylation and gene expression changes in well-defined colorectal cancer tissues with high purity. The integrated analysis gives additional insight regarding the regulation of colorectal cancer-associated genes and their underlying mechanisms that contribute to colorectal carcinogenesis. D.A. Spandidos 2015-07 2015-05-19 /pmc/articles/PMC4484611/ /pubmed/25997610 http://dx.doi.org/10.3892/or.2015.3993 Text en Copyright © 2015, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
KOK-SIN, TEOW
MOKHTAR, NORFILZA MOHD
HASSAN, NUR ZARINA ALI
SAGAP, ISMAIL
ROSE, ISA MOHAMED
HARUN, ROSLAN
JAMAL, RAHMAN
Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
title Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
title_full Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
title_fullStr Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
title_full_unstemmed Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
title_short Identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
title_sort identification of diagnostic markers in colorectal cancer via integrative epigenomics and genomics data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484611/
https://www.ncbi.nlm.nih.gov/pubmed/25997610
http://dx.doi.org/10.3892/or.2015.3993
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