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Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia

Acute myeloid leukemia (AML) is a frequently occurring malignant disease of the blood and may result from a variety of genetic disorders. The present study aimed to identify the underlying mechanisms associated with the therapeutic effects of decitabine and cytarabine on AML, using microarray analys...

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Autores principales: Zhou, Shiyong, Liu, Pengfei, Zhang, Huilai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482123/
https://www.ncbi.nlm.nih.gov/pubmed/28498449
http://dx.doi.org/10.3892/mmr.2017.6581
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author Zhou, Shiyong
Liu, Pengfei
Zhang, Huilai
author_facet Zhou, Shiyong
Liu, Pengfei
Zhang, Huilai
author_sort Zhou, Shiyong
collection PubMed
description Acute myeloid leukemia (AML) is a frequently occurring malignant disease of the blood and may result from a variety of genetic disorders. The present study aimed to identify the underlying mechanisms associated with the therapeutic effects of decitabine and cytarabine on AML, using microarray analysis. The microarray datasets GSE40442 and GSE40870 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and differentially methylated sites were identified in AML cells treated with decitabine compared with those treated with cytarabine via the Linear Models for Microarray Data package, following data pre-processing. Gene Ontology (GO) analysis of DEGs was performed using the Database for Annotation, Visualization and Integrated Analysis Discovery. Genes corresponding to the differentially methylated sites were obtained using the annotation package of the methylation microarray platform. The overlapping genes were identified, which exhibited the opposite variation trend between gene expression and DNA methylation. Important transcription factor (TF)-gene pairs were screened out, and a regulated network subsequently constructed. A total of 190 DEGs and 540 differentially methylated sites were identified in AML cells treated with decitabine compared with those treated with cytarabine. A total of 36 GO terms of DEGs were enriched, including nucleosomes, protein-DNA complexes and the nucleosome assembly. The 540 differentially methylated sites were located on 240 genes, including the acid-repeat containing protein (ACRC) gene that was additionally differentially expressed. In addition, 60 TF pairs and overlapped methylated sites, and 140 TF-pairs and DEGs were screened out. The regulated network included 68 nodes and 140 TF-gene pairs. The present study identified various genes including ACRC and proliferating cell nuclear antigen, in addition to various TFs, including TATA-box binding protein associated factor 1 and CCCTC-binding factor, which may be potential therapeutic targets of AML.
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spelling pubmed-54821232017-06-28 Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia Zhou, Shiyong Liu, Pengfei Zhang, Huilai Mol Med Rep Articles Acute myeloid leukemia (AML) is a frequently occurring malignant disease of the blood and may result from a variety of genetic disorders. The present study aimed to identify the underlying mechanisms associated with the therapeutic effects of decitabine and cytarabine on AML, using microarray analysis. The microarray datasets GSE40442 and GSE40870 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and differentially methylated sites were identified in AML cells treated with decitabine compared with those treated with cytarabine via the Linear Models for Microarray Data package, following data pre-processing. Gene Ontology (GO) analysis of DEGs was performed using the Database for Annotation, Visualization and Integrated Analysis Discovery. Genes corresponding to the differentially methylated sites were obtained using the annotation package of the methylation microarray platform. The overlapping genes were identified, which exhibited the opposite variation trend between gene expression and DNA methylation. Important transcription factor (TF)-gene pairs were screened out, and a regulated network subsequently constructed. A total of 190 DEGs and 540 differentially methylated sites were identified in AML cells treated with decitabine compared with those treated with cytarabine. A total of 36 GO terms of DEGs were enriched, including nucleosomes, protein-DNA complexes and the nucleosome assembly. The 540 differentially methylated sites were located on 240 genes, including the acid-repeat containing protein (ACRC) gene that was additionally differentially expressed. In addition, 60 TF pairs and overlapped methylated sites, and 140 TF-pairs and DEGs were screened out. The regulated network included 68 nodes and 140 TF-gene pairs. The present study identified various genes including ACRC and proliferating cell nuclear antigen, in addition to various TFs, including TATA-box binding protein associated factor 1 and CCCTC-binding factor, which may be potential therapeutic targets of AML. D.A. Spandidos 2017-07 2017-05-12 /pmc/articles/PMC5482123/ /pubmed/28498449 http://dx.doi.org/10.3892/mmr.2017.6581 Text en Copyright: © Zhou 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
Zhou, Shiyong
Liu, Pengfei
Zhang, Huilai
Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
title Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
title_full Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
title_fullStr Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
title_full_unstemmed Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
title_short Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
title_sort bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482123/
https://www.ncbi.nlm.nih.gov/pubmed/28498449
http://dx.doi.org/10.3892/mmr.2017.6581
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