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Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma
Aberrant DNA methylation leads to abnormal gene expression, making it a significant regulator in the progression of cancer and leading to the requirement for integration of gene expression with DNA methylation. Here, we identified 120 genes demonstrating an inverse correlation between DNA methylatio...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053602/ https://www.ncbi.nlm.nih.gov/pubmed/31962291 http://dx.doi.org/10.18632/aging.102686 |
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author | Chen, Yang Liao, Lian-Di Wu, Zhi-Yong Yang, Qian Guo, Jin-Cheng He, Jian-Zhong Wang, Shao-Hong Xu, Xiu-E Wu, Jian-Yi Pan, Feng Lin, De-Chen Xu, Li-Yan Li, En-Min |
author_facet | Chen, Yang Liao, Lian-Di Wu, Zhi-Yong Yang, Qian Guo, Jin-Cheng He, Jian-Zhong Wang, Shao-Hong Xu, Xiu-E Wu, Jian-Yi Pan, Feng Lin, De-Chen Xu, Li-Yan Li, En-Min |
author_sort | Chen, Yang |
collection | PubMed |
description | Aberrant DNA methylation leads to abnormal gene expression, making it a significant regulator in the progression of cancer and leading to the requirement for integration of gene expression with DNA methylation. Here, we identified 120 genes demonstrating an inverse correlation between DNA methylation and mRNA expression in esophageal squamous cell carcinoma (ESCC). Sixteen key genes, such as SIX4, CRABP2, and EHD3, were obtained by filtering 10 datasets and verified in paired ESCC samples by qRT-PCR. 5-Aza-dC as a DNA methyltransferase (DNMT) inhibitor could recover their expression and inhibit clonal growth of cancer cells in seven ESCC cell lines. Furthermore, 11 of the 16 genes were correlated with OS (overall survival) and DFS (disease-free survival) in 125 ESCC patients. ChIP-Seq data and WGBS data showed that DNA methylation and H3K27ac histone modification of these key genes displayed inverse trends, suggesting that there was collaboration between DNA methylation and histone modification in ESCC. Our findings illustrate that the integrated multi-omics data (transcriptome and epigenomics) can accurately obtain potential prognostic biomarkers, which may provide important insight for the effective treatment of cancers. |
format | Online Article Text |
id | pubmed-7053602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-70536022020-03-12 Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma Chen, Yang Liao, Lian-Di Wu, Zhi-Yong Yang, Qian Guo, Jin-Cheng He, Jian-Zhong Wang, Shao-Hong Xu, Xiu-E Wu, Jian-Yi Pan, Feng Lin, De-Chen Xu, Li-Yan Li, En-Min Aging (Albany NY) Research Paper Aberrant DNA methylation leads to abnormal gene expression, making it a significant regulator in the progression of cancer and leading to the requirement for integration of gene expression with DNA methylation. Here, we identified 120 genes demonstrating an inverse correlation between DNA methylation and mRNA expression in esophageal squamous cell carcinoma (ESCC). Sixteen key genes, such as SIX4, CRABP2, and EHD3, were obtained by filtering 10 datasets and verified in paired ESCC samples by qRT-PCR. 5-Aza-dC as a DNA methyltransferase (DNMT) inhibitor could recover their expression and inhibit clonal growth of cancer cells in seven ESCC cell lines. Furthermore, 11 of the 16 genes were correlated with OS (overall survival) and DFS (disease-free survival) in 125 ESCC patients. ChIP-Seq data and WGBS data showed that DNA methylation and H3K27ac histone modification of these key genes displayed inverse trends, suggesting that there was collaboration between DNA methylation and histone modification in ESCC. Our findings illustrate that the integrated multi-omics data (transcriptome and epigenomics) can accurately obtain potential prognostic biomarkers, which may provide important insight for the effective treatment of cancers. Impact Journals 2020-01-21 /pmc/articles/PMC7053602/ /pubmed/31962291 http://dx.doi.org/10.18632/aging.102686 Text en Copyright © 2020 Chen 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 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Chen, Yang Liao, Lian-Di Wu, Zhi-Yong Yang, Qian Guo, Jin-Cheng He, Jian-Zhong Wang, Shao-Hong Xu, Xiu-E Wu, Jian-Yi Pan, Feng Lin, De-Chen Xu, Li-Yan Li, En-Min Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
title | Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
title_full | Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
title_fullStr | Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
title_full_unstemmed | Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
title_short | Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
title_sort | identification of key genes by integrating dna methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053602/ https://www.ncbi.nlm.nih.gov/pubmed/31962291 http://dx.doi.org/10.18632/aging.102686 |
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