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Identification of driver genes associated with chemotherapy resistance of Ewing's sarcoma
Hongyi Liao1, Xianbiao Xie2, Yuanyuan Xu3
1Department of Orthopedic Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, People's Republic of China.
Background:
The aim of this study was to identify the driver genes associated with chemotherapy resistance of Ewing's sarcoma and potential targets for Ewing's sarcoma treatment.
Methods:
Two mRNA microarray datasets, GSE12102 and GSE17679, were downloaded from the Gene Expression Omnibus database, which contain 94 human Ewing's sarcoma samples, including 65 from those who experienced a relapse and 29 from those with no evidence of disease. The differen tially expressed genes (DEGs) were identified using LIMMA package R. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed for DEGs using Database for Annotation, Visualization and Integrated Analysis. The protein-protein interaction network was constructed using Cytoscape software, and module analysis was performed using Molecular Complex Detection.
Results:
A total of 206 upregulated DEGs and 141 downregulated DEGs were identified. Upregulated DEGs were primarily enriched in DNA replication, nucleoplasm and protein kinase binding for biological processes, cellular component and molecular functions, respectively. Downregulated DEGs were predominantly involved in receptor clustering, membrane raft, and ligand-dependent nuclear receptor binding. The protein-protein interaction network of DEGs consisted of 150 nodes and 304 interactions. Thirteen hub genes were identified, and biological analysis revealed that these genes were primarily enriched in cell division, cell cycle, and mitosis. Furthermore, based on closeness centrality, betweenness centrality, and degree centrality, the three most significant genes were identified as GAPDH, AURKA, and EHMT2. Furthermore, the significant network module was composed of nine genes. These genes were primarily enriched in mitotic nuclear division, mitotic chromosome condensation, and nucleoplasm.
Conclusion:
These hub genes, especially GAPDH, AURKA, and EHMT2, may be closely associated with the progression of Ewing's sarcoma chemotherapy resistance, and further experiments are needed for confirmation.
Insights
This study identified key genes like GAPDH, AURKA, and EHMT2 linked to Ewing sarcoma chemotherapy resistance. These findings offer potential new targets for treating this challenging cancer.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Ewing sarcoma is a rare but aggressive bone cancer.
- Chemotherapy resistance significantly impacts patient outcomes.
- Identifying driver genes is crucial for developing effective treatments.
Purpose of the Study:
- To identify driver genes associated with chemotherapy resistance in Ewing sarcoma.
- To discover potential therapeutic targets for Ewing sarcoma treatment.
Main Methods:
- Utilized two mRNA microarray datasets (GSE12102, GSE17679) comprising 94 human Ewing sarcoma samples.
- Identified differentially expressed genes (DEGs) using LIMMA package in R.
- Performed Gene Ontology and KEGG pathway enrichment analyses, constructed a protein-protein interaction network, and conducted module analysis.
Main Results:
- Identified 206 upregulated and 141 downregulated DEGs.
- Upregulated DEGs enriched in DNA replication and nucleoplasm; downregulated DEGs involved in receptor clustering and membrane rafts.
- Identified 13 hub genes, with GAPDH, AURKA, and EHMT2 highlighted as most significant, enriched in cell division and mitosis.
Conclusions:
- The identified hub genes, particularly GAPDH, AURKA, and EHMT2, are potentially linked to Ewing sarcoma chemotherapy resistance.
- These genes represent promising targets for future therapeutic strategies.
- Further experimental validation is necessary to confirm their role.
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