Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods

Abstract

Background Though considerable efforts have been made to improve the treatment of epithelial ovarian cancer (EOC), the prognosis of patients has remained poor. Identifying differentially expressed genes (DEGs) involved in EOC progression and exploiting them as novel biomarkers or therapeutic targets is of great value. Methods Overlapping DEGs were screened out from three independent gene expression omnibus (GEO) datasets and were subjected to Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses. The protein-protein interactions (PPI) network of DEGs was constructed based on the STRING database. The expression of hub genes was validated in GEPIA and GEO. The relationship of hub genes expression with tumor stage and overall survival and progression-free survival of EOC patients was investigated using the cancer genome atlas data. Results A total of 306 DEGs were identified, including 265 up-regulated and 41 down-regulated. Through PPI network analysis, the top 20 genes were screened out, among which 4 hub genes, which were not researched in depth so far, were selected after literature retrieval, including CDC45, CDCA5, KIF4A, ESPL1. The four genes were up-regulated in EOC tissues compared with normal tissues, but their expression decreased gradually with the continuous progression of EOC. Survival curves illustrated that patients with a lower level of CDCA5 and ESPL1 had better overall survival and progression-free survival statistically. Conclusion Two hub genes, CDCA5 and ESPL1, identified as probably playing tumor-promotive roles, have great potential to be utilized as novel therapeutic targets for EOC treatment.

The upregulation and transcriptional regulatory mechanisms of Extra spindle pole bodies like 1 in bladder cancer: An immunohistochemistry and high-throughput screening Evaluation

“…Liu et al [ 30 ] suggested that the high expression of ESPL1 promoted the proliferation, migration and apoptosis of LUAD cells. Gui et al [ 31 ] also found that ESPL1 expression was significantly elevated in ovarian cancer and correlated with poor prognosis. Although Chen et al previously reported the presence of upregulated ESPL1 expression in BC, they did not explore ESPL1 expression in sufficient depth and were limited in their analyses by the small number of included samples (n = 246) and a lack of in-house samples for experimental validation [ 15 ].…”

Expression of genes regulating cell division in porcine follicular granulosa cells

“…If abnormalities occur during mitosis or meiosis, this can lead to cell dysfunction, cell death and uncontrolled cell division leading to cancer [ 84 , 85 ]. Many cancers within the ovary have been described that are associated with abnormal cell division within the ovary [ 86 , 87 ]. In relation to this type of disorders, knowledge of gene transcription associated with cell division is valuable because it may explain the basis of many diseases and also highlight potential therapeutic targets.…”

The Role of Apoptotic Genes and Protein-Protein Interactions in Triple-negative Breast Cancer

“…This might be useful for comprehending and forecasting the network analysis clusters that are co-regulated by co-expression genes. The DEGs in all clusters were then analyzed for BP and KEGG pathway enrichment using the Enrichr program (42).…”