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Screening and Interaction Analysis of Key Genes in miR-542-3p Over- Expressed Osteosarcoma Cells by Bioinformatics

Author(s):

Zhongqiu Li, Peng Zhang, Feifei Feng and Qiao Zhang*   Pages 1 - 8 ( 8 )

Abstract:


Background: Osteosarcoma is one of the most serious primary malignant bone tumors that threaten the life of children and adolescents. However, the mechanism underlying and how to prevent or treat the disease have not been well understood.

Aims & Objective: This aim of the present study was identify the key genes and explore novel insights into the molecular mechanism of miR-542-3p over-expressed Osteosarcoma.

Materials & Methods: Gene expression profile data GDS5367 was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened using GEO2R, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the DIVID database. And protein-protein interaction (PPI) network was constructed by STRING database. In addition, most highly connected module was screened by plugin MCODE and hub genes by plugin CytoHubba. Furthermore, UALCAN and The Cancer Genome Atlas were performed for survival analysis.

Result: In total, 1421 DEGs were identified, including 598 genes were up-regulated and 823 genes were down-regulated. GO analysis showed that DEGs were classified into three groups and DEGs mainly enriched in Steroid biosynthesis, Ubiquitin mediated proteolysis and p53 signaling pathway. Six hub genes (UBA52, RNF114, UBE2H, TRIP12, HNRNPC and PTBP1) may be key genes with the progression of osteosarcoma.

Conclusion: The results could better understand the mechanism of osteosarcoma, which may facilitate a novel insight into treatment targets.

Keywords:

Osteosarcoma, miR-542-3p, module analysis, survival analysis, bioinformatics analysis, gene expression.

Affiliation:

Department of Toxicology, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province 450001, Department of Bone and Soft Tissue Cancer, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan Province 450008, Department of Toxicology, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province 450001, Department of Toxicology, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province 450001



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