Chemoresistance is a significant factor associated with poor outcomes of osteosarcoma patients. The present study aims to identify\nChemoresistance-regulated gene signatures and microRNAs (miRNAs) in Gene Expression Omnibus (GEO) database. The results\nof Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) included positive regulation of transcription,\nDNA-templated, tryptophan metabolism, and the like. Then differentially expressed genes (DEGs) were uploaded to Search Tool\nfor the Retrieval of Interacting Genes (STRING) to construct protein-protein interaction (PPI) networks, and 9 hub genes were\nscreened, such as fucosyltransferase 3 (Lewis blood group) (FUT3) whose expression in chemoresistant samples was high, but with\na better prognosis in osteosarcoma patients. Furthermore, the connection between DEGs and differentially expressed miRNAs\n(DEMs) was explored. GEO2R was utilized to screen out DEGs and DEMs. A total of 668DEGs and 5 DEMs were extracted from\nGSE7437 and GSE30934 differentiating samples of poor and good chemotherapy reaction patients.The Database for Annotation,\nVisualization, and Integrated Discovery (DAVID) was used to perform GO and KEGG pathway enrichment analysis to identify\npotential pathways and functional annotations linked with osteosarcoma chemoresistance. The present study may provide a deeper\nunderstanding about regulatory genes of osteosarcoma chemoresistance and identify potential therapeutic targets for osteosarcoma.
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