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Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas
BACKGROUND: Epigenome-wide studies in hepatocellular carcinoma (HCC) have identified numerous genes with aberrant DNA methylation. However, methods for triaging functional candidate genes as useful biomarkers for epidemiological study have not yet been developed. METHODS: We conducted targeted next-...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460673/ https://www.ncbi.nlm.nih.gov/pubmed/26059414 http://dx.doi.org/10.1186/s12920-015-0105-1 |
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author | Shen, Jing LeFave, Clare Sirosh, Iryna Siegel, Abby B. Tycko, Benjamin Santella, Regina M. |
author_facet | Shen, Jing LeFave, Clare Sirosh, Iryna Siegel, Abby B. Tycko, Benjamin Santella, Regina M. |
author_sort | Shen, Jing |
collection | PubMed |
description | BACKGROUND: Epigenome-wide studies in hepatocellular carcinoma (HCC) have identified numerous genes with aberrant DNA methylation. However, methods for triaging functional candidate genes as useful biomarkers for epidemiological study have not yet been developed. METHODS: We conducted targeted next-generation bisulfite sequencing (bis-seq) to investigate associations of DNA methylation and mRNA expression in HCC. Integrative analyses of epigenetic profiles with DNA copy number analysis were used to pinpoint functional genes regulated mainly by altered DNA methylation. RESULTS: Significant differences between HCC tumor and adjacent non-tumor tissue were observed for 28 bis-seq amplicons, with methylation differences varying from 12% to 43%. Available mRNA expression data in Oncomine were evaluated. Two candidate genes (GRASP and TSPYL5) were significantly under-expressed in HCC tumors in comparison with precursor and normal liver tissues. The expression levels in tumor tissues were, respectively, 1.828 and − 0.148, significantly lower than those in both precursor and normal liver tissue. Validations in an additional 42 paired tissues showed consistent under-expression in tumor tissue for GRASP (−7.49) and TSPYL5 (−9.71). A highly consistent DNA hypermethylation and mRNA repression pattern was obtained for both GRASP (69%) and TSPYL5 (73%), suggesting that their biological function is regulated by DNA methylation. Another two genes (RGS17 and NR2E1) at Chr6q showed significantly decreased DNA methylation in tumors with loss of DNA copy number compared to those without, suggesting alternative roles of DNA copy number losses and hypermethylation in the regulation of RGS17 and NR2E1. CONCLUSIONS: These results suggest that integrative analyses of epigenomic and genomic data provide an efficient way to filter functional biomarkers for future epidemiological studies in human cancers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0105-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4460673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44606732015-06-10 Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas Shen, Jing LeFave, Clare Sirosh, Iryna Siegel, Abby B. Tycko, Benjamin Santella, Regina M. BMC Med Genomics Research Article BACKGROUND: Epigenome-wide studies in hepatocellular carcinoma (HCC) have identified numerous genes with aberrant DNA methylation. However, methods for triaging functional candidate genes as useful biomarkers for epidemiological study have not yet been developed. METHODS: We conducted targeted next-generation bisulfite sequencing (bis-seq) to investigate associations of DNA methylation and mRNA expression in HCC. Integrative analyses of epigenetic profiles with DNA copy number analysis were used to pinpoint functional genes regulated mainly by altered DNA methylation. RESULTS: Significant differences between HCC tumor and adjacent non-tumor tissue were observed for 28 bis-seq amplicons, with methylation differences varying from 12% to 43%. Available mRNA expression data in Oncomine were evaluated. Two candidate genes (GRASP and TSPYL5) were significantly under-expressed in HCC tumors in comparison with precursor and normal liver tissues. The expression levels in tumor tissues were, respectively, 1.828 and − 0.148, significantly lower than those in both precursor and normal liver tissue. Validations in an additional 42 paired tissues showed consistent under-expression in tumor tissue for GRASP (−7.49) and TSPYL5 (−9.71). A highly consistent DNA hypermethylation and mRNA repression pattern was obtained for both GRASP (69%) and TSPYL5 (73%), suggesting that their biological function is regulated by DNA methylation. Another two genes (RGS17 and NR2E1) at Chr6q showed significantly decreased DNA methylation in tumors with loss of DNA copy number compared to those without, suggesting alternative roles of DNA copy number losses and hypermethylation in the regulation of RGS17 and NR2E1. CONCLUSIONS: These results suggest that integrative analyses of epigenomic and genomic data provide an efficient way to filter functional biomarkers for future epidemiological studies in human cancers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0105-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-10 /pmc/articles/PMC4460673/ /pubmed/26059414 http://dx.doi.org/10.1186/s12920-015-0105-1 Text en © Shen et al. 2015 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 Article Shen, Jing LeFave, Clare Sirosh, Iryna Siegel, Abby B. Tycko, Benjamin Santella, Regina M. Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
title | Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
title_full | Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
title_fullStr | Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
title_full_unstemmed | Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
title_short | Integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
title_sort | integrative epigenomic and genomic filtering for methylation markers in hepatocellular carcinomas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460673/ https://www.ncbi.nlm.nih.gov/pubmed/26059414 http://dx.doi.org/10.1186/s12920-015-0105-1 |
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