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Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML
Myeloid disorders, especially myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), cause significant mobility and high mortality worldwide. Despite numerous attempts, the common molecular events underlying the development of MDS and AML remain to be established. In the present study, 18...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126153/ https://www.ncbi.nlm.nih.gov/pubmed/30214614 http://dx.doi.org/10.3892/ol.2018.9237 |
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author | Zhang, Zhen Zhao, Lin Wei, Xijin Guo, Qiang Zhu, Xiaoxiao Wei, Ran Yin, Xunqiang Zhang, Yunhong Wang, Bin Li, Xia |
author_facet | Zhang, Zhen Zhao, Lin Wei, Xijin Guo, Qiang Zhu, Xiaoxiao Wei, Ran Yin, Xunqiang Zhang, Yunhong Wang, Bin Li, Xia |
author_sort | Zhang, Zhen |
collection | PubMed |
description | Myeloid disorders, especially myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), cause significant mobility and high mortality worldwide. Despite numerous attempts, the common molecular events underlying the development of MDS and AML remain to be established. In the present study, 18 microarray datasets were selected, and a meta-analysis was conducted to identify shared gene signatures and biological processes between MDS and AML. Using NetworkAnalyst, 191 upregulated and 139 downregulated genes were identified in MDS and AML, among which, PTH2R, TEC, and GPX1 were the most upregulated genes, while MME, RAG1, and CD79B were mostly downregulated. Comprehensive functional enrichment analyses revealed oncogenic signaling related pathway, fibroblast growth factor receptor (FGFR) and immune response related events, ‘interleukine-6/interferon signaling pathway, and B cell receptor signaling pathway’, were the most upregulated and downregulated biological processes, respectively. Network based meta-analysis ascertained that HSP90AA1 and CUL1 were the most important hub genes. Interestingly, our study has largely clarified the link between MDS and AML in terms of potential pathways, and genetic markers, which shed light on the molecular mechanisms underlying the development and transition of MDS and AML, and facilitate the understanding of novel diagnostic, therapeutic and prognostic biomarkers. |
format | Online Article Text |
id | pubmed-6126153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-61261532018-09-13 Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML Zhang, Zhen Zhao, Lin Wei, Xijin Guo, Qiang Zhu, Xiaoxiao Wei, Ran Yin, Xunqiang Zhang, Yunhong Wang, Bin Li, Xia Oncol Lett Articles Myeloid disorders, especially myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), cause significant mobility and high mortality worldwide. Despite numerous attempts, the common molecular events underlying the development of MDS and AML remain to be established. In the present study, 18 microarray datasets were selected, and a meta-analysis was conducted to identify shared gene signatures and biological processes between MDS and AML. Using NetworkAnalyst, 191 upregulated and 139 downregulated genes were identified in MDS and AML, among which, PTH2R, TEC, and GPX1 were the most upregulated genes, while MME, RAG1, and CD79B were mostly downregulated. Comprehensive functional enrichment analyses revealed oncogenic signaling related pathway, fibroblast growth factor receptor (FGFR) and immune response related events, ‘interleukine-6/interferon signaling pathway, and B cell receptor signaling pathway’, were the most upregulated and downregulated biological processes, respectively. Network based meta-analysis ascertained that HSP90AA1 and CUL1 were the most important hub genes. Interestingly, our study has largely clarified the link between MDS and AML in terms of potential pathways, and genetic markers, which shed light on the molecular mechanisms underlying the development and transition of MDS and AML, and facilitate the understanding of novel diagnostic, therapeutic and prognostic biomarkers. D.A. Spandidos 2018-10 2018-07-31 /pmc/articles/PMC6126153/ /pubmed/30214614 http://dx.doi.org/10.3892/ol.2018.9237 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Zhang, Zhen Zhao, Lin Wei, Xijin Guo, Qiang Zhu, Xiaoxiao Wei, Ran Yin, Xunqiang Zhang, Yunhong Wang, Bin Li, Xia Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML |
title | Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML |
title_full | Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML |
title_fullStr | Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML |
title_full_unstemmed | Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML |
title_short | Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML |
title_sort | integrated bioinformatic analysis of microarray data reveals shared gene signature between mds and aml |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126153/ https://www.ncbi.nlm.nih.gov/pubmed/30214614 http://dx.doi.org/10.3892/ol.2018.9237 |
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