Analysis for screening and prognostic value of differentially expressed genes in cervical cancer / 临床检验杂志

ABSTRACT

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.