小细胞肺癌潜在相关基因的生物信息学分析及功能预测

Bioinformatics analysis and functional prediction of potentially relevant genes in SCLC

目的 对小细胞肺癌发生发展的关键基因和分子机制进行生物信息学分析,为诊疗提供潜在靶点和生物标志物。方法 从GEO数据库筛选小细胞肺癌基因表达数据集,并运用GEO_(2)R分析差异表达基因(DEG);再利用DAVID数据库对DEG进行富集分析,并构建蛋白互作网络图,进一步筛选出小细胞肺癌关键基因并进行预后分析。结果 筛选出614个DEG,其中上调基因328个、下调基因286个。富集结果显示,DEG的功能主要与微管运动、DNA修复、驱动蛋白复合物及微管结合等有关。根据蛋白互作网络中的节点连接度(Degree≥40),筛选出CDK1、BUB1和CCNB2等13个关键基因。预后生存分析发现,关键基因高表达水平与不良预后有关(P均<0.01)。结论 CDK1、BUB1和CCNB2等13个关键基因可能是小细胞肺癌诊疗的潜在靶点和预后标志物。

Objective To investigate the key genes and molecular mechanisms involved in the development and progression of small cell lung cancer(SCLC),so as to provide potential targets and biomarkers for diagnosis and treatment of SCLC.Methods The data set of SCLC gene expression was selected from GEO database,and differential expressed gene(DEG) was analyzed by GEO_(2)R,then,the DAVID database was used to analyze the enrichment of DEG,construct the protein interaction network,further screen out the key genes of SCLC and analyze the prognosis.Results A total of 614 DEGs were selected out,including 328 up regulated genes and 286 down regulated genes.The enrichment results showed that the function of DEG was mainly related to microtubule movement,DNA repair kinesin complex and microtubule binding.According to the node connectivity(degree ≥ 40) in protein interaction network,13 key genes were selected,which were CDK1,BUB1 and CCNB2.The survival analysis showed that the high expression level of key genes was related to the adverse prognosis(P< 0.01).Conclusion The 13 key genes including CDK1,BUB1 and CCNB2 may be potential targets and prognostic markers in the diagnosis and treatment of SCLC.