Zhong Duming, Chen Dan, Zhang Guangquan, Lin Shaobai, Mei Runhong, Yu Xuefeng
Department of Orthopedics, The Fourth Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Int J Gen Med. 2022 Mar 5;15:2575-2588. doi: 10.2147/IJGM.S346251. eCollection 2022.
Ewing's sarcoma (ES) is a common bone cancer in children and adolescents. There are ethnic differences in the incidence and treatment effects. People have made great efforts to clarify the cause; however, the molecular mechanism of ES is still poorly understood.
We download the microarray datasets GSE68776, GSE45544 and GSE17674 from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) of the three datasets were screened and enrichment analysis was performed. STRING and Cytoscape were used to carry out module analysis, building a protein-protein interaction (PPI) network. Finally, a series of analyses such as survival analysis and immune infiltration analysis were performed on the selected genes.
A total of 629 differentially expressed genes were screened, including 206 up-regulated genes and 423 down-regulated genes. The pathways and rich-functions of DEGs include protein activation cascade, carbohydrate binding, cell-cell adhesion junctions, mitotic cell cycle, p53 pathway, and cancer pathways. Then, a total of 10 hub genes were screened out. Biological process analysis showed that these genes were mainly enriched in mitotic nuclear division, protein kinase activity, cell division, cell cycle, and protein phosphorylation.
Survival analysis and multiple gene comparison analysis showed that CDCA8, MAD2L1 and FANCI may be involved in the occurrence and prognosis of ES. The purpose of our study is to clarify the DEG and key genes, which will help us know more about the molecular mechanisms of ES, provide potential pathway or targets for the diagnosis and treatment.
尤因肉瘤（ES）是儿童和青少年常见的骨癌。其发病率和治疗效果存在种族差异。人们已付出巨大努力来阐明病因；然而，ES的分子机制仍知之甚少。
我们从基因表达综合数据库（GEO）下载了微阵列数据集GSE68776、GSE45544和GSE17674。筛选这三个数据集的差异表达基因（DEGs）并进行富集分析。使用STRING和Cytoscape进行模块分析，构建蛋白质 - 蛋白质相互作用（PPI）网络。最后，对所选基因进行生存分析和免疫浸润分析等一系列分析。
共筛选出629个差异表达基因，其中上调基因206个，下调基因423个。DEGs的通路和富集功能包括蛋白质激活级联反应、碳水化合物结合、细胞间粘附连接、有丝分裂细胞周期、p53通路和癌症通路。然后，共筛选出10个枢纽基因。生物学过程分析表明，这些基因主要富集在有丝分裂核分裂、蛋白激酶活性、细胞分裂、细胞周期和蛋白质磷酸化。
生存分析和多基因比较分析表明，CDCA8、MAD2L1和FANCI可能参与ES的发生和预后。我们研究的目的是阐明DEG和关键基因，这将有助于我们更多地了解ES的分子机制，为诊断和治疗提供潜在途径或靶点。
