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Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma

As one of the most common malignant tumors worldwide, gastric adenocarcinoma (GC) and its prognosis are still poorly understood. Various genetic and epigenetic factors have been indicated in GC carcinogenesis. However, a comprehensive and in-depth investigation of epigenetic alteration in gastric ca...

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Autores principales: Zhang, Yan, Guo, Dianjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7753064/
https://www.ncbi.nlm.nih.gov/pubmed/33363566
http://dx.doi.org/10.3389/fgene.2020.551787
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author Zhang, Yan
Guo, Dianjing
author_facet Zhang, Yan
Guo, Dianjing
author_sort Zhang, Yan
collection PubMed
description As one of the most common malignant tumors worldwide, gastric adenocarcinoma (GC) and its prognosis are still poorly understood. Various genetic and epigenetic factors have been indicated in GC carcinogenesis. However, a comprehensive and in-depth investigation of epigenetic alteration in gastric cancer is still missing. In this study, we systematically investigated some key epigenetic features in GC, including DNA methylation and five core histone modifications. Data from The Cancer Genome Atlas Program and other studies (Gene Expression Omnibus) were collected, analyzed, and validated with multivariate statistical analysis methods. The landscape of epi-modifications in gastric cancer was described. Chromatin state transition analysis showed a histone marker shift in gastric cancer genome by employing a Hidden-Markov-Model based approach, indicated that histone marks tend to label different sets of genes in GC compared to control. An additive effect of these epigenetic marks was observed by integrated analysis with gene expression data, suggesting epigenetic modifications may cooperatively regulate gene expression. However, the effect of DNA methylation was found more significant without the presence of the five histone modifications in our study. By constructing a PPI network, key genes to distinguish GC from normal samples were identified, and distinct patterns of oncogenic pathways in GC were revealed. Some of these genes can also serve as potential biomarkers to classify various GC molecular subtypes. Our results provide important insights into the epigenetic regulation in gastric cancer and other cancers in general. This study describes the aberrant epigenetic variation pattern in GC and provides potential direction for epigenetic biomarker discovery.
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spelling pubmed-77530642020-12-23 Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma Zhang, Yan Guo, Dianjing Front Genet Genetics As one of the most common malignant tumors worldwide, gastric adenocarcinoma (GC) and its prognosis are still poorly understood. Various genetic and epigenetic factors have been indicated in GC carcinogenesis. However, a comprehensive and in-depth investigation of epigenetic alteration in gastric cancer is still missing. In this study, we systematically investigated some key epigenetic features in GC, including DNA methylation and five core histone modifications. Data from The Cancer Genome Atlas Program and other studies (Gene Expression Omnibus) were collected, analyzed, and validated with multivariate statistical analysis methods. The landscape of epi-modifications in gastric cancer was described. Chromatin state transition analysis showed a histone marker shift in gastric cancer genome by employing a Hidden-Markov-Model based approach, indicated that histone marks tend to label different sets of genes in GC compared to control. An additive effect of these epigenetic marks was observed by integrated analysis with gene expression data, suggesting epigenetic modifications may cooperatively regulate gene expression. However, the effect of DNA methylation was found more significant without the presence of the five histone modifications in our study. By constructing a PPI network, key genes to distinguish GC from normal samples were identified, and distinct patterns of oncogenic pathways in GC were revealed. Some of these genes can also serve as potential biomarkers to classify various GC molecular subtypes. Our results provide important insights into the epigenetic regulation in gastric cancer and other cancers in general. This study describes the aberrant epigenetic variation pattern in GC and provides potential direction for epigenetic biomarker discovery. Frontiers Media S.A. 2020-12-08 /pmc/articles/PMC7753064/ /pubmed/33363566 http://dx.doi.org/10.3389/fgene.2020.551787 Text en Copyright © 2020 Zhang and Guo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhang, Yan
Guo, Dianjing
Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
title Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
title_full Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
title_fullStr Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
title_full_unstemmed Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
title_short Epigenetic Variation Analysis Leads to Biomarker Discovery in Gastric Adenocarcinoma
title_sort epigenetic variation analysis leads to biomarker discovery in gastric adenocarcinoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7753064/
https://www.ncbi.nlm.nih.gov/pubmed/33363566
http://dx.doi.org/10.3389/fgene.2020.551787
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