Identification of Key Genes and miRNAs Affecting Osteosarcoma Based on Bioinformatics

基于生物信息学的骨肉瘤关键基因和miRNA的鉴定

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Abstract

METHODS: GSE70367 and GSE69470 were obtained from the GEO database. The differentially expressed genes (DEGs) and miRNAs were analyzed using the GEO2R tool and then visualized with R software. Moreover, the targets of the miRNAs in the DEGs were screened and then used for enrichment analysis. Besides, the STRING database and Cytoscape were applied to illustrate the protein-protein interaction network. RT-qPCR was performed to measure the expression of key genes and miRNAs. Western blot was applied to detect the signaling pathway. RESULTS: 9 upregulated genes and 39 downregulated genes in GSE69470 were identified as the DEGs, and 31 upregulated genes and 56 downregulated genes in GSE70367 were identified as the DEGs. Moreover, 21 common genes were found in the DEGs of GSE70367 and GSE69470. The enrichment analysis showed that the common DEGs of GSE70367 and GSE69470 were related with cell development, covalent chromatin modification, and histone modification and involve in the regulation of MAPK, mTOR, and AMPK pathways. Besides, the miRNAs including miR-543, miR-495-3p, miR-433-3p, miR-381-3p, miR-301a-3p, miR-199b-5p, and miR-125b-5p were identified as the biomarkers of osteosarcoma. In addition, the target genes including HSPA5, PPARG, MAPK14, RAB11A, RAB5A, MAPK8, LEF1, HIF1A, CAV1, GS3KB, FOXO3, IGF1, and NFKBIA were identified as hub nodes. It was found that miR-301a-3p expression was decreased and mRNA expression of RAB5A and NFKBIA was increased in the pathological tissues. The AKT-PI3K-mTOR signaling pathway was activated in pathological tissues. CONCLUSION: In this study, 7 miRNAs and 13 hub genes were identified, which might be candidate markers. miR-301a-3p, RAB5A, and NFKBIA were abnormally expressed in osteosarcoma tissues.

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