Mustafa MI, Mohammed ZO, Murshed NS, Elfadol NM, Abdelmoneim AH, Hassan MA. In Silico Genetics Revealing 5 Mutations in
CEBPA Gene Associated With Acute Myeloid Leukemia.
Cancer Inform 2019;
18:1176935119870817. [PMID:
31621694 PMCID:
PMC6777061 DOI:
10.1177/1176935119870817]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 07/30/2019] [Indexed: 12/11/2022] Open
Abstract
Background:
Acute myeloid leukemia (AML) is an extremely heterogeneous malignant
disorder; AML has been reported as one of the main causes of death in
children. The objective of this work was to classify the most deleterious
mutation in CCAAT/enhancer-binding protein-alpha (CEBPA)
and to predict their influence on the functional, structural, and expression
levels by various Bioinformatics analysis tools.
Methods:
The single nucleotide polymorphisms (SNPs) were claimed from the National
Center for Biotechnology Information (NCBI) database and then submitted into
various functional analysis tools, which were done to predict the influence
of each SNP, followed by structural analysis of modeled protein followed by
predicting the mutation effect on energy stability; the most damaging
mutations were chosen for additional investigation by Mutation3D, Project
hope, ConSurf, BioEdit, and UCSF Chimera tools.
Results:
A total of 5 mutations out of 248 were likely to be responsible for the
structural and functional variations in CEBPA protein, whereas in the
3′-untranslated region (3′-UTR) the result showed that among 350 SNPs in the
3′-UTR of CEBPA gene, about 11 SNPs were predicted. Among
these 11 SNPs, 65 alleles disrupted a conserved miRNA site and 22 derived
alleles created a new site of miRNA.
Conclusions:
In this study, the impact of functional mutations in the CEBPA gene was
investigated through different bioinformatics analysis techniques, which
determined that R339W, R288P, N292S, N292T, and D63N are pathogenic
mutations that have a possible functional and structural influence,
therefore, could be used as genetic biomarkers and may assist in genetic
studies with a special consideration of the large heterogeneity of AML.
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