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Aberrant methylation patterns in colorectal cancer: a meta-analysis
Colorectal cancer is among the leading causes of cancer death worldwide. Despite numerous molecular characterizations of the phenomenon, the exact dynamics of its onset and progression remain elusive. Colorectal cancer onset has been characterized by changes in DNA methylation profiles, that, owing...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355058/ https://www.ncbi.nlm.nih.gov/pubmed/28086223 http://dx.doi.org/10.18632/oncotarget.14590 |
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author | Durso, Danielle Fernandes Bacalini, Maria Giulia do Valle, Ítalo Faria Pirazzini, Chiara Bonafé, Massimiliano Castellani, Gastone Faria, Ana Maria Caetano Franceschi, Claudio Garagnani, Paolo Nardini, Christine |
author_facet | Durso, Danielle Fernandes Bacalini, Maria Giulia do Valle, Ítalo Faria Pirazzini, Chiara Bonafé, Massimiliano Castellani, Gastone Faria, Ana Maria Caetano Franceschi, Claudio Garagnani, Paolo Nardini, Christine |
author_sort | Durso, Danielle Fernandes |
collection | PubMed |
description | Colorectal cancer is among the leading causes of cancer death worldwide. Despite numerous molecular characterizations of the phenomenon, the exact dynamics of its onset and progression remain elusive. Colorectal cancer onset has been characterized by changes in DNA methylation profiles, that, owing to the stability of their patterns, are promising candidates to shed light on the molecular events laying at the base of this phenomenon. To exploit this stability and reinforce it, we conducted a meta-analysis on publicly available DNA methylation datasets generated on: normal colorectal, adenoma (ADE) and adenocarcinoma (CRC) samples using the Illumina 450k array, in the systems medicine frame, searching for tumor gene episignatures, to produce a carefully selected list of potential drivers, markers and targets of the disease. The analysis proceeds from a differential meta-analysis of the methylation profiles using an analytical pipeline recently developed by our group [1], through network reconstruction, topological and functional analyses, to finally highlight relevant epigenomic features. Our results show that genes already highlighted for their genetic or transcriptional alteration in colorectal cancer are also differentially methylated, reinforcing -regardless of the level of cellular control- their role in the complex of alterations involved in tumorigenesis. These findings were finally validated in an independent cohort from The Cancer Genome Atlas (TCGA). |
format | Online Article Text |
id | pubmed-5355058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53550582017-04-15 Aberrant methylation patterns in colorectal cancer: a meta-analysis Durso, Danielle Fernandes Bacalini, Maria Giulia do Valle, Ítalo Faria Pirazzini, Chiara Bonafé, Massimiliano Castellani, Gastone Faria, Ana Maria Caetano Franceschi, Claudio Garagnani, Paolo Nardini, Christine Oncotarget Research Paper Colorectal cancer is among the leading causes of cancer death worldwide. Despite numerous molecular characterizations of the phenomenon, the exact dynamics of its onset and progression remain elusive. Colorectal cancer onset has been characterized by changes in DNA methylation profiles, that, owing to the stability of their patterns, are promising candidates to shed light on the molecular events laying at the base of this phenomenon. To exploit this stability and reinforce it, we conducted a meta-analysis on publicly available DNA methylation datasets generated on: normal colorectal, adenoma (ADE) and adenocarcinoma (CRC) samples using the Illumina 450k array, in the systems medicine frame, searching for tumor gene episignatures, to produce a carefully selected list of potential drivers, markers and targets of the disease. The analysis proceeds from a differential meta-analysis of the methylation profiles using an analytical pipeline recently developed by our group [1], through network reconstruction, topological and functional analyses, to finally highlight relevant epigenomic features. Our results show that genes already highlighted for their genetic or transcriptional alteration in colorectal cancer are also differentially methylated, reinforcing -regardless of the level of cellular control- their role in the complex of alterations involved in tumorigenesis. These findings were finally validated in an independent cohort from The Cancer Genome Atlas (TCGA). Impact Journals LLC 2017-01-10 /pmc/articles/PMC5355058/ /pubmed/28086223 http://dx.doi.org/10.18632/oncotarget.14590 Text en Copyright: © 2017 Durso et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Durso, Danielle Fernandes Bacalini, Maria Giulia do Valle, Ítalo Faria Pirazzini, Chiara Bonafé, Massimiliano Castellani, Gastone Faria, Ana Maria Caetano Franceschi, Claudio Garagnani, Paolo Nardini, Christine Aberrant methylation patterns in colorectal cancer: a meta-analysis |
title | Aberrant methylation patterns in colorectal cancer: a meta-analysis |
title_full | Aberrant methylation patterns in colorectal cancer: a meta-analysis |
title_fullStr | Aberrant methylation patterns in colorectal cancer: a meta-analysis |
title_full_unstemmed | Aberrant methylation patterns in colorectal cancer: a meta-analysis |
title_short | Aberrant methylation patterns in colorectal cancer: a meta-analysis |
title_sort | aberrant methylation patterns in colorectal cancer: a meta-analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355058/ https://www.ncbi.nlm.nih.gov/pubmed/28086223 http://dx.doi.org/10.18632/oncotarget.14590 |
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