Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics

Integrated studies of accumulated data can be performed to obtain more reliable information and more feasible measures for investigating the potential diagnostic and prognostic biomarkers of breast cancer and exploring related molecular mechanisms. Our study aimed to explore the GATA family members...

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Autores principales: Yu, Shan, Jiang, Xuepeng, Li, Juan, Li, Chao, Guo, Mian, Ye, Fei, Zhang, Maomao, Jiao, Yufei, Guo, Baoliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418253/
https://www.ncbi.nlm.nih.gov/pubmed/30872657
http://dx.doi.org/10.1038/s41598-019-40811-3
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author Yu, Shan
Jiang, Xuepeng
Li, Juan
Li, Chao
Guo, Mian
Ye, Fei
Zhang, Maomao
Jiao, Yufei
Guo, Baoliang
author_facet Yu, Shan
Jiang, Xuepeng
Li, Juan
Li, Chao
Guo, Mian
Ye, Fei
Zhang, Maomao
Jiao, Yufei
Guo, Baoliang
author_sort Yu, Shan
collection PubMed
description Integrated studies of accumulated data can be performed to obtain more reliable information and more feasible measures for investigating the potential diagnostic and prognostic biomarkers of breast cancer and exploring related molecular mechanisms. Our study aimed to explore the GATA family members involved in breast cancer by integrating data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and other online databases. We performed an integrated analysis of published studies from GEO and analyzed clinical data from TCGA and GTEx to evaluate the clinical significance and prognosis values of the GATA family in breast cancer. GATA3 was found to be upregulated and exhibited a favorable value in the diagnosis and prognosis of breast cancer. Through this study, we identified possible GATA3-correlated genes and core pathways that play an important role, which requires further investigation in breast cancer.
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spelling pubmed-64182532019-03-18 Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics Yu, Shan Jiang, Xuepeng Li, Juan Li, Chao Guo, Mian Ye, Fei Zhang, Maomao Jiao, Yufei Guo, Baoliang Sci Rep Article Integrated studies of accumulated data can be performed to obtain more reliable information and more feasible measures for investigating the potential diagnostic and prognostic biomarkers of breast cancer and exploring related molecular mechanisms. Our study aimed to explore the GATA family members involved in breast cancer by integrating data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and other online databases. We performed an integrated analysis of published studies from GEO and analyzed clinical data from TCGA and GTEx to evaluate the clinical significance and prognosis values of the GATA family in breast cancer. GATA3 was found to be upregulated and exhibited a favorable value in the diagnosis and prognosis of breast cancer. Through this study, we identified possible GATA3-correlated genes and core pathways that play an important role, which requires further investigation in breast cancer. Nature Publishing Group UK 2019-03-14 /pmc/articles/PMC6418253/ /pubmed/30872657 http://dx.doi.org/10.1038/s41598-019-40811-3 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yu, Shan
Jiang, Xuepeng
Li, Juan
Li, Chao
Guo, Mian
Ye, Fei
Zhang, Maomao
Jiao, Yufei
Guo, Baoliang
Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
title Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
title_full Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
title_fullStr Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
title_full_unstemmed Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
title_short Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
title_sort comprehensive analysis of the gata transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418253/
https://www.ncbi.nlm.nih.gov/pubmed/30872657
http://dx.doi.org/10.1038/s41598-019-40811-3
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