Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis.

The present study aimed to screen potential genes implicated in epithelial ovarian cancer (EOC) and to further understand the molecular pathogenesis of EOC. In order to do this, datasets GSE14407 (containing 12 human ovarian cancer epithelia samples and 12 normal epithelia samples) and GSE29220 (containing 11 salivary transcriptomes from ovarian cancer patients with serous papillary adenocarcinoma and 11 matched controls) were obtained from the Gene Expression Omnibus. Differentially expressed genes (DEGs) within these datasets were screened using the Linear Models for Microarray Data package, and potential gene functions were predicted by functional and pathway enrichment analyses. Additionally, module analysis of protein-protein interaction networks was performed using MCODE software in Cytoscape. The potential microRNAs (miRNAs/miRs) and transcription factors (TFs) regulating DEGs were also analyzed, and the integrated TF-DEG and miRNA-DEG regulatory networks were visualized with Cytoscape. In total, 31 upregulated DEGs and 64 downregulated DEGs were screened. The upregulated DEGs, such as centromere protein F () and ubiquitin like with PHD and ring finger domains 1 (), were significantly associated with the cell cycle and were regulated by the TF nuclear transcription factor Y (NF-Y). was modulated by miR-373, and was regulated by miR-146a. The downregulated DEGs, such as aldehyde dehydrogenase 1 family member A2 (), were distinctly involved in the response to estrogen stimulus and modulated by tumor protein 53 (); protocadherin 9 () was regulated by , miR-92b-3p and miR-137. The DEGs, including , , and , and a set of gene regulators, including all genes, , miR-373, miR-146a, miR-92b-3p and miR-137, may be involved in the pathogenesis of EOC.