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Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures

Gastric adenocarcinoma (GAC) and colon adenocarcinoma (CAC) are the most common gastrointestinal cancer subtypes, with a high incidence and mortality. Numerous studies have shown that its occurrence and progression are significantly related to abnormal DNA methylation, especially CpG island methylat...

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Autores principales: Xiang, Renshen, Fu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719188/
https://www.ncbi.nlm.nih.gov/pubmed/33277583
http://dx.doi.org/10.1038/s41598-020-78228-y
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author Xiang, Renshen
Fu, Tao
author_facet Xiang, Renshen
Fu, Tao
author_sort Xiang, Renshen
collection PubMed
description Gastric adenocarcinoma (GAC) and colon adenocarcinoma (CAC) are the most common gastrointestinal cancer subtypes, with a high incidence and mortality. Numerous studies have shown that its occurrence and progression are significantly related to abnormal DNA methylation, especially CpG island methylation. However, little is known about the application of DNA methylation in GAC and CAC. The methylation profiles were accessed from the Cancer Genome Atlas database to identify promoter methylation-based cancer subtypes and signatures for GAC and CAC. Six hypo-methylated clusters for GAC and six hyper-methylated clusters for CAC were separately generated with different OS profiles, tumor progression became worse as the methylation level decreased in GAC or increased in CAC, and hypomethylation in GAC and hypermethylation in CAC were negatively correlated with microsatellite instability. Additionally, the hypo- and hyper-methylated site-based signatures with high accuracy, high efficiency and strong independence can separately predict the OS of GAC and CAC patients. By integrating the methylation-based signatures with prognosis-related clinicopathologic characteristics, two clinicopathologic-epigenetic nomograms were cautiously established with strong predictive performance and high accuracy. Our research indicates that methylation mechanisms differ between GAC and CAC, and provides novel clinical biomarkers for the diagnosis and treatment of GAC and CAC.
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spelling pubmed-77191882020-12-08 Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures Xiang, Renshen Fu, Tao Sci Rep Article Gastric adenocarcinoma (GAC) and colon adenocarcinoma (CAC) are the most common gastrointestinal cancer subtypes, with a high incidence and mortality. Numerous studies have shown that its occurrence and progression are significantly related to abnormal DNA methylation, especially CpG island methylation. However, little is known about the application of DNA methylation in GAC and CAC. The methylation profiles were accessed from the Cancer Genome Atlas database to identify promoter methylation-based cancer subtypes and signatures for GAC and CAC. Six hypo-methylated clusters for GAC and six hyper-methylated clusters for CAC were separately generated with different OS profiles, tumor progression became worse as the methylation level decreased in GAC or increased in CAC, and hypomethylation in GAC and hypermethylation in CAC were negatively correlated with microsatellite instability. Additionally, the hypo- and hyper-methylated site-based signatures with high accuracy, high efficiency and strong independence can separately predict the OS of GAC and CAC patients. By integrating the methylation-based signatures with prognosis-related clinicopathologic characteristics, two clinicopathologic-epigenetic nomograms were cautiously established with strong predictive performance and high accuracy. Our research indicates that methylation mechanisms differ between GAC and CAC, and provides novel clinical biomarkers for the diagnosis and treatment of GAC and CAC. Nature Publishing Group UK 2020-12-04 /pmc/articles/PMC7719188/ /pubmed/33277583 http://dx.doi.org/10.1038/s41598-020-78228-y Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xiang, Renshen
Fu, Tao
Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
title Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
title_full Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
title_fullStr Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
title_full_unstemmed Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
title_short Gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
title_sort gastrointestinal adenocarcinoma analysis identifies promoter methylation-based cancer subtypes and signatures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719188/
https://www.ncbi.nlm.nih.gov/pubmed/33277583
http://dx.doi.org/10.1038/s41598-020-78228-y
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