Bioinformatics Analysis Identifies Key Genes and Pathways in Acute Myeloid Leukemia Associated with DNMT3A Mutation
Joint Authors
Chen, Shuyi
Chen, Yimin
Lu, Jielun
Yuan, Danyun
He, Lang
Tan, Huo
Xu, Lihua
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Background.
DNA methyltransferase 3 alpha (DNMT3A) mutation was one of the most frequent genetic alterations in acute myeloid leukemia (AML), which was associated with poor prognosis and appeared to be a potential biomarker.
Herein, we aimed to identify the key genes and pathways involved in adult AML with DNMT3A mutations and to find possible therapeutic targets for improving treatment.
Methods.
The RNA sequencing datasets of 170 adult AML patients were obtained from The Cancer Genome Atlas (TCGA) database.
EdgeR of the R platform was used to identify the differentially expressed genes (DEGs).
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed by Metascape and DAVID.
And protein-protein interaction (PPI) network and clustering modules were analyzed with the STRING database and Cytoscape software.
Results.
Mutated DNMT3A resulted in a shorter overall survival (OS) in AML patients and obviously associated with age, blast percentage in peripheral blood, and FLT3 mutation.
A total of 283 DEGs were detected, of which 95 were upregulated and 188 were downregulated.
GO term analysis showed that DEGs were significantly enriched in neutrophil degranulation, myeloid cell differentiation, stem cell proliferation, positive regulation of neurological system process, leukocyte migration, and tissue morphogenesis.
KEGG pathway enrichment analysis indicated that the pathway of cancer, PI3K-Akt signaling pathway, and transcriptional misregulation in cancer may play a crucial role in DNMT3A mutation AML.
Seven hub genes (BMP4, MPO, THBS1, APP, ELANE, HOXA7, and VWF) had a significant prognostic value.
Conclusion.
Bioinformatics analysis in the present study provided novel targets for early diagnosis and new strategies for treatment for AML with DNMT3A mutation.
American Psychological Association (APA)
Chen, Shuyi& Chen, Yimin& Lu, Jielun& Yuan, Danyun& He, Lang& Tan, Huo…[et al.]. 2020. Bioinformatics Analysis Identifies Key Genes and Pathways in Acute Myeloid Leukemia Associated with DNMT3A Mutation. BioMed Research International،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138068
Modern Language Association (MLA)
Chen, Shuyi…[et al.]. Bioinformatics Analysis Identifies Key Genes and Pathways in Acute Myeloid Leukemia Associated with DNMT3A Mutation. BioMed Research International No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1138068
American Medical Association (AMA)
Chen, Shuyi& Chen, Yimin& Lu, Jielun& Yuan, Danyun& He, Lang& Tan, Huo…[et al.]. Bioinformatics Analysis Identifies Key Genes and Pathways in Acute Myeloid Leukemia Associated with DNMT3A Mutation. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138068
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138068