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Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis

OBJECTIVE: ATRX is a multifunctional protein that is tightly regulated by and implicated in transcriptional regulation and chromatin remodeling. Numerous studies have shown that genetic alterations in ATRX play a significant role in gliomas. This study aims to further determine the relationship betw...

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Autores principales: Xie, Yingbin, Tan, Yanli, Yang, Chao, Zhang, Xuehao, Xu, Can, Qiao, Xiaoxia, Xu, Jianglong, Tian, Shaohui, Fang, Chuan, Kang, Chunsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese Anti-Cancer Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936242/
https://www.ncbi.nlm.nih.gov/pubmed/31908895
http://dx.doi.org/10.20892/j.issn.2095-3941.2019.0143
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author Xie, Yingbin
Tan, Yanli
Yang, Chao
Zhang, Xuehao
Xu, Can
Qiao, Xiaoxia
Xu, Jianglong
Tian, Shaohui
Fang, Chuan
Kang, Chunsheng
author_facet Xie, Yingbin
Tan, Yanli
Yang, Chao
Zhang, Xuehao
Xu, Can
Qiao, Xiaoxia
Xu, Jianglong
Tian, Shaohui
Fang, Chuan
Kang, Chunsheng
author_sort Xie, Yingbin
collection PubMed
description OBJECTIVE: ATRX is a multifunctional protein that is tightly regulated by and implicated in transcriptional regulation and chromatin remodeling. Numerous studies have shown that genetic alterations in ATRX play a significant role in gliomas. This study aims to further determine the relationship between ATRX and glioma prognosis and identify possible mechanisms for exploring the biological significance of ATRX using large data sets. METHODS: We used The Cancer Genome Atlas (TCGA) database and 130 immunohistochemical results to confirm the difference in ATRX mutations in high- and low-grade gliomas. An online analysis of the TCGA glioma datasets using the cBioPortal platform was performed to study the relationship between ATRX mutations and IDH1, TP53, CDKN2A and CDKN2B mutations in the corresponding TCGA glioma dataset. In combination with clinical pathology data, the biological significance of the relationships were analyzed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and annotations of all adjacent genes in the network were performedin the Database for Annotation, Visualization and Integrated Discovery (DAVID) and R language. A protein-protein interaction (PPI) network was constructed, and the interactions of all adjacent nodes were analyzed by the String database and using Cytoscape software. RESULTS: In the selected TCGA glioma datasets, a total of 2,228 patients were queried, 21% of whom had ATRX alterations, which co-occurred frequently with TP53 and IDH1 mutations. ATRX alterations are associated with multiple critical molecular events, which results in a significantly improved overall survival (OS) rate. In low-grade gliomas, ATRX mutations are significantly associated with multiple important molecular events, such as ZNF274 and FDXR at mRNA and protein levels. A functional cluster analysis revealed that these genes played a role in chromatin binding and P53, and a link was observed between ATRX and IDH1 and TP53 in the interaction network. ATRX and TP53 are important nodes in the network and have potential links with the blood oxygen imbalance. CONCLUSIONS: ATRX mutations have clinical implications for the molecular diagnosis of gliomas and can provide diagnostic and prognostic information for gliomas. ATRX is expected to serve as a new therapeutic target.
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spelling pubmed-69362422020-01-06 Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis Xie, Yingbin Tan, Yanli Yang, Chao Zhang, Xuehao Xu, Can Qiao, Xiaoxia Xu, Jianglong Tian, Shaohui Fang, Chuan Kang, Chunsheng Cancer Biol Med Original Article OBJECTIVE: ATRX is a multifunctional protein that is tightly regulated by and implicated in transcriptional regulation and chromatin remodeling. Numerous studies have shown that genetic alterations in ATRX play a significant role in gliomas. This study aims to further determine the relationship between ATRX and glioma prognosis and identify possible mechanisms for exploring the biological significance of ATRX using large data sets. METHODS: We used The Cancer Genome Atlas (TCGA) database and 130 immunohistochemical results to confirm the difference in ATRX mutations in high- and low-grade gliomas. An online analysis of the TCGA glioma datasets using the cBioPortal platform was performed to study the relationship between ATRX mutations and IDH1, TP53, CDKN2A and CDKN2B mutations in the corresponding TCGA glioma dataset. In combination with clinical pathology data, the biological significance of the relationships were analyzed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and annotations of all adjacent genes in the network were performedin the Database for Annotation, Visualization and Integrated Discovery (DAVID) and R language. A protein-protein interaction (PPI) network was constructed, and the interactions of all adjacent nodes were analyzed by the String database and using Cytoscape software. RESULTS: In the selected TCGA glioma datasets, a total of 2,228 patients were queried, 21% of whom had ATRX alterations, which co-occurred frequently with TP53 and IDH1 mutations. ATRX alterations are associated with multiple critical molecular events, which results in a significantly improved overall survival (OS) rate. In low-grade gliomas, ATRX mutations are significantly associated with multiple important molecular events, such as ZNF274 and FDXR at mRNA and protein levels. A functional cluster analysis revealed that these genes played a role in chromatin binding and P53, and a link was observed between ATRX and IDH1 and TP53 in the interaction network. ATRX and TP53 are important nodes in the network and have potential links with the blood oxygen imbalance. CONCLUSIONS: ATRX mutations have clinical implications for the molecular diagnosis of gliomas and can provide diagnostic and prognostic information for gliomas. ATRX is expected to serve as a new therapeutic target. Chinese Anti-Cancer Association 2019-11 /pmc/articles/PMC6936242/ /pubmed/31908895 http://dx.doi.org/10.20892/j.issn.2095-3941.2019.0143 Text en Copyright 2019 Cancer Biology & Medicine http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
Xie, Yingbin
Tan, Yanli
Yang, Chao
Zhang, Xuehao
Xu, Can
Qiao, Xiaoxia
Xu, Jianglong
Tian, Shaohui
Fang, Chuan
Kang, Chunsheng
Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis
title Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis
title_full Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis
title_fullStr Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis
title_full_unstemmed Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis
title_short Omics-based integrated analysis identified ATRX as a biomarker associated with glioma diagnosis and prognosis
title_sort omics-based integrated analysis identified atrx as a biomarker associated with glioma diagnosis and prognosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936242/
https://www.ncbi.nlm.nih.gov/pubmed/31908895
http://dx.doi.org/10.20892/j.issn.2095-3941.2019.0143
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