宫颈癌相关差异表达基因的筛选及预后价值分析

目的 通过分析GEO数据库中的基因芯片数据,筛选宫颈癌相关的差异表达基因。方法 从GEO数据库中下载宫颈癌相关基因表达数据集GSE9750和GSE63514,利用GEO2R工具筛选差异表达基因;利用DAVID在线工具进行GO和KEGG富集途径分析;利用GSE7803、GSE39001和TCGA中的数据对结果进行验证。结果 共筛选出176个宫颈癌相关差异表达基因,包括上调基因41个,下调基因135个;INHBA 基因在宫颈癌组织中高表达,且与患者的总生存期( HR =2.5, P <0.01)和无病生存期呈负相关( HR =2.7, P <0.01)。结论 通过分析GEO中的基因芯片数据获得多个宫颈癌发病相关的基因, INHBA 基因可作为患者的诊断及预后评估的潜在新分子标记。

Analysis for screening and prognostic value of differentially expressed genes in cervical cancer

Objective To identify the pivotal differentially expressed genes in cervical cancer based on data mining from GEO database. Methods The cervical cancer-related gene expression data (GSE9750 and GSE63514) was downloaded from GEO database and the differentially expressed genes were screened and identified by GEO2R tool. GO and KEGG enrichment pathways were analyzed by using DAVID online tool. The results were verified using the data from GSE7803, GSE39001 and TCGA. Results A total of 176 differentially expressed cervical cancer-related genes were screened, including 41 up-regulated genes and 135 down-regulated genes. Among them, INHBA was highly expressed in cervical cancer tissues and negatively correlated with overall survival ( HR =2.5, P < 0.01 ) and disease-free survival ( HR =2.7, P <0.01). Conclusion We obtained multiple genes related to the pathogenesis of cervical cancer by data mining of the gene chip in GEO database. INHBA could be used as a new potential molecular marker for tumor diagnosis and prognosis evaluation.