A Bioinformatics Analysis of circRNA/miRNA/mRNA Interactions in Acute Myeloid Leukemia

Authors : Cihat ERDOĞAN, Murat KAYA, Ilknur SUER

Pages : 45-53

Doi:10.26650/experimed.1227705

View : 26 | Download : 6

Publication Date : 2023-05-11

Article Type : Research Paper

Abstract :Objective: Acute myeloid leukemia insert ignore into journalissuearticles values(AML); is a lethal type of cancer associated with dysregulation of progenitor hematopoietic stem cell behavior and its incidence is, unfortunately, increasing. Although there are various applications in treatment, since most of them are insufficient in early diagnosis, treatment and new prognostic biomarkers should be investigated. Materials and Methods: In this study, three Gene Expression Omnibus insert ignore into journalissuearticles values(GEO); datasets Genomic Spatial Event insert ignore into journalissuearticles values(GSE);; GSE94591, GSE116617, and GSE163386); were used to investigate dysregulated expressions of circular RNAs insert ignore into journalissuearticles values(circRNAs);, and the GSE142699 and GSE142698 datasets were analyzed to detect dysregulated expressions of microRNAs insert ignore into journalissuearticles values(miRNAs); and mRNAs, respectively. Filtering was applied with p value <0.05, log2FC≥0.5 insert ignore into journalissuearticles values(circRNA);, and log2FC≥1 insert ignore into journalissuearticles values(miRNA and mRNA); from the raw data analyzed using the limma R package insert ignore into journalissuearticles values(v.3.46.0);. We investigated circRNA-miRNA-mRNA interactions using special tools including CSCDv2.0, circBank, miRTarBase, miRDB, multiMiR, miRWalk, DIANA-microT, TarBase, miRanda, and TargetScan. The pathway analysis was performed using KEGG and GO programs. The STRING database and Cytoscape tool were used to construct and view protein interaction. Hub gene analysis was constructed using the MCODE tool. We have utilized the GEPIA tool to determine the Overall Survival of the hub genes. Results: In our study, 4 circRNAs, 3 miRNAs, and 6 genes that may be closely related to AML were detected. Conclusion: According to our bioinformatics analysis results, hsa_circ_0012152/miR-199a-5p/HOXA9 axis could be more important in AML. Therefore, in vitro and in vivo investigations are recommended.
Keywords : Acute myeloid leukemia, circular RNA, bioinformatics

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