Identification of Novel Genes Implicated in Acute Myeloid Leukemia Progression using Bioinformatics Analysis of Microarray Data

Background Acute myeloid leukemia (AML) is a malignancy characterized by the uncontrolled proliferation of blood cells. Nowadays the incidence and prevalence of AML is growing rapidly, making more precise diagnostic tools and novel treatments open to urgent exploration. Genetic abnormalities and environmental factors are involved in the pathogenesis of AML and thereby, Microarray analysis have been applied to explore underlying pathways and genetic function. In this study we aimed to identify the differentially expressed genes (DEGs) and assess protein–protein interaction (PPI) to investigate the underpinned molecular and genetic mechanisms of AML. Methods The present study applied comprehensive statistical analysis in order to examine gene expression profiles in datasets GSE9476, GSE48558, and GSE63270 from the GEO database. The datasets were selected to provide a broad representation of gene expression changes associated with AML. Through this rigorous analysis, DEGs were identified across three databases. The identified DEGs were then subjected to further scrutiny, and genes such as TRIB2, LGALS1, FLT3, HOMER3, LMNA, CFD, and ABLIM1 were singled out for additional investigation. The mentioned genes were selected based on their potential significance in AML and were further analyzed using Gene Ontology (GO) analysis to understand their biological roles, functions, and the pathways they might be involved in AML. Results Our bioinformatics analysis revealed that among the explored genes, CFD and ABLIM1 were linked to AML. Conclusion It is concluded that ABLIM1 and CFD genes are associated with the presence and progression of AML, even in different subtypes of the disease.