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Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer
Epigenetic modifications such as aberrant DNA methylation reshape the gene expression repertoire in cancer. Here, we used a clinically relevant hepatocellular carcinoma (HCC) mouse model (Alb-R26(Met)) to explore the impact of DNA methylation on transcriptional switches associated with tumorigenesis...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082886/ https://www.ncbi.nlm.nih.gov/pubmed/30089774 http://dx.doi.org/10.1038/s41467-018-05550-5 |
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author | Arechederra, Maria Daian, Fabrice Yim, Annie Bazai, Sehrish K. Richelme, Sylvie Dono, Rosanna Saurin, Andrew J. Habermann, Bianca H. Maina, Flavio |
author_facet | Arechederra, Maria Daian, Fabrice Yim, Annie Bazai, Sehrish K. Richelme, Sylvie Dono, Rosanna Saurin, Andrew J. Habermann, Bianca H. Maina, Flavio |
author_sort | Arechederra, Maria |
collection | PubMed |
description | Epigenetic modifications such as aberrant DNA methylation reshape the gene expression repertoire in cancer. Here, we used a clinically relevant hepatocellular carcinoma (HCC) mouse model (Alb-R26(Met)) to explore the impact of DNA methylation on transcriptional switches associated with tumorigenesis. We identified a striking enrichment in genes simultaneously hypermethylated in CpG islands (CGIs) and overexpressed. These hypermethylated CGIs are located either in the 5′-UTR or in the gene body region. Remarkably, such CGI hypermethylation accompanied by gene upregulation also occurs in 56% of HCC patients, which belong to the “HCC proliferative-progenitor” subclass. Most of the genes upregulated and with hypermethylated CGIs in the Alb-R26(Met) HCC model undergo the same change in a large proportion of HCC patients. Among reprogrammed genes, several are well-known oncogenes. For others not previously linked to cancer, we demonstrate here their action together as an “oncogene module”. Thus, hypermethylation of gene body CGIs is predictive of elevated oncogene levels in cancer, offering a novel stratification strategy and perspectives to normalise cancer gene dosages. |
format | Online Article Text |
id | pubmed-6082886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60828862018-08-10 Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer Arechederra, Maria Daian, Fabrice Yim, Annie Bazai, Sehrish K. Richelme, Sylvie Dono, Rosanna Saurin, Andrew J. Habermann, Bianca H. Maina, Flavio Nat Commun Article Epigenetic modifications such as aberrant DNA methylation reshape the gene expression repertoire in cancer. Here, we used a clinically relevant hepatocellular carcinoma (HCC) mouse model (Alb-R26(Met)) to explore the impact of DNA methylation on transcriptional switches associated with tumorigenesis. We identified a striking enrichment in genes simultaneously hypermethylated in CpG islands (CGIs) and overexpressed. These hypermethylated CGIs are located either in the 5′-UTR or in the gene body region. Remarkably, such CGI hypermethylation accompanied by gene upregulation also occurs in 56% of HCC patients, which belong to the “HCC proliferative-progenitor” subclass. Most of the genes upregulated and with hypermethylated CGIs in the Alb-R26(Met) HCC model undergo the same change in a large proportion of HCC patients. Among reprogrammed genes, several are well-known oncogenes. For others not previously linked to cancer, we demonstrate here their action together as an “oncogene module”. Thus, hypermethylation of gene body CGIs is predictive of elevated oncogene levels in cancer, offering a novel stratification strategy and perspectives to normalise cancer gene dosages. Nature Publishing Group UK 2018-08-08 /pmc/articles/PMC6082886/ /pubmed/30089774 http://dx.doi.org/10.1038/s41467-018-05550-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Arechederra, Maria Daian, Fabrice Yim, Annie Bazai, Sehrish K. Richelme, Sylvie Dono, Rosanna Saurin, Andrew J. Habermann, Bianca H. Maina, Flavio Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer |
title | Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer |
title_full | Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer |
title_fullStr | Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer |
title_full_unstemmed | Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer |
title_short | Hypermethylation of gene body CpG islands predicts high dosage of functional oncogenes in liver cancer |
title_sort | hypermethylation of gene body cpg islands predicts high dosage of functional oncogenes in liver cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082886/ https://www.ncbi.nlm.nih.gov/pubmed/30089774 http://dx.doi.org/10.1038/s41467-018-05550-5 |
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