基于生物信息学方法的骨肉瘤预后相关甲基化调控差异表达基因筛选

doi:10.20047/j.issn1673-7210.2023.25.01

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Abstract Objective To screen the differentially expressed genes (DEGs) methylated in osteosarcoma (OS) patients related to prognosis based on bioinformatics methods, and to provide a direction for the treatment and research of OS. Methods The OS gene chip (GSE36001) and OS methylation gene chip (GSE36002) were downloaded from the gene expression omnibus database, and the differences were analyzed and pooled to obtain the DEGs. Enrichment analysis of DEGs was performed, and the protein- protein interaction (PPI) network of DEGs was constructed by the STRING database. Cytoscape 3.6 software was used to screen the core genes of PPI network, and survival analysis was performed. Results A total of 532 up- regulated and 281 down-regulated DEGs were identified in differential analysis of GSE36001, and 3 433 hypermethylated DEGs and 2 212 hypomethylated DEGs were identified in differential methylation analysis of GSE36002, after intersection, 128 down-regulated OS hypermethylated DEGs and 44 up-regulated OS hypomethylated DEGs were obtained. OS hypermethylated DEGs were mainly involved in epidermal development and skin cell differentiation, and hypomethylated DEGs were mainly involved in cell differentiation and other biological processes. OS hypermethylated DEGs involved cytokine- cytokine receptor interactions and hypomethylated DEGs involved Ca2+ and other pathways. Eight core genes were identified by PPI analysis. Survival analysis results showed that the survival rate of OS patients with high expression of ALOX5AP, HCK, LAPTM5, RAC2, LCP2, AIF1, TYROBP, and PLEK were higher than those of patients with low expression (P＜0.05). Conclusion Eight core methylated DEGs, including ALOX5AP, HCK, and LAPTM5, etc. may affect the prognosis of patients with OS.

Key words： Osteosarcoma Methylation Survival analysis Differential analysis

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	DAI Yi1 ZHANG Zhimin1 YUE Xing1 QING Hengzhen1 YUAN Changshen2 DUAN Kan2 ZHENG Hangbing3

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DAI Yi1 ZHANG Zhimin1 YUE Xing1 QING Hengzhen1 YUAN Changshen2 DUAN Kan2 ZHENG Hangbing3. Screening of differentially expressed genes regulated by methylation related to prognosis in osteosarcoma based on bioinformatics methods[J]. 中国医药导报, 2023, 20(25): 4-11.

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https://www.yiyaodaobao.com.cn/EN/10.20047/j.issn1673-7210.2023.25.01 OR https://www.yiyaodaobao.com.cn/EN/Y2023/V20/I25/4

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