Currently, there are emerging multiple studies on human epididymis protein 4 (HE4) in ovarian cancer. HE4 possesses higher sensitivity and specificity than CA125 in the confirmative early diagnosis for ovarian cancer. Although much attention has been given to explore its clinical application, research of the basic mechanisms of HE4 in ovarian cancer are still unclear. In the present study, we provide fundamental data to identify full-scale differentially expressed genes (DEGs) in response to HE4 by use of human whole-genome microarrays in human epithelial ovarian cancer cell line ES-2 following overexpression and silencing of HE4. We found that a total of 717 genes were upregulated and 898 genes were downregulated in the HE4-overexpressing cells vs. the HE4-Mock cells, and 166 genes were upregulated and 285 were downregulated in the HE4-silenced cells vs. the HE4-Mock cells. An overlap of 16 genes consistently upregulated and 8 genes downregulated in response to HE4 were noted. These DEGs were involved in MAPK, steroid biosynthesis, cell cycle, the p53 hypoxia pathway, and focal adhesion pathways. Interaction network analysis predicted that the genes participated in the regulatory connection. Highly differential expression of the FOXA2, SERPIND1, BDKRD1 and IL1A genes was verified by quantitative real-time PCR in 4 cell line samples. Finally, SERPIND1 (HCII) was validated at the protein level by immunohistochemistry in 107 paraffin-embedded ovarian tissues. We found that SERPIND1 may act as a potential oncogene in the development of ovarian cancer. The present study displayed the most fundamental and full-scale data to show DEGs in response to HE4. These identified genes may provide a theoretical basis for investigations of the underlying molecular mechanism of HE4 in ovarian cancer.

Aberrant regulation of BCL6 plays crucial oncogenic roles in various malignant tumors; howbeit, the function of BCL6 in tumorigenesis of ovarian cancer remains unclear. The aim of this study is to investigate the role of BCL6 in ovarian cancer. The methods of immunohistochemical staining, quantitative real-time polymerase chain reaction, immunocytochemical staining, and gene expression profile enrichment analysis were performed to identify the possible role of BCL6 in ovarian cancer. We observed that the expression of BCL6 was significantly higher in ovarian cancer tissues and correlated with higher tumor burden including advanced International Federation of Gynecology and Obstetrics stages, poor differentiation, Type II ovarian cancer, the presence of >1 cm residual tumor size, and appearance of recurrence or death (all p < 0.05). The expression patterns of Lewis y were similar to these of BCL6. Multivariate Cox analysis demonstrated that advanced International Federation of Gynecology and Obstetrics stage, lymph node metastasis, residual tumor size >1 cm, as well as high expressions of BCL6 and Lewis y antigen were independent factors of worse progression-free survival and overall survival (all p < 0.05). There was a positive correlation of the expressions of BCL6 and Lewis y antigen. The associated genes with BCL6 in response to Lewis y antigen were identified, including four upregulated genes ( SOCS3, STAT1, PPARG, and GADD45A) and three downregulated genes ( ACAN, E2F3, and ZBTB7B). In conclusion, the high expressions of BCL6 and Lewis y antigen are associated with development, high tumor burden, and worse prognosis of ovarian cancer and targeting BCL6 could be a novel therapeutic strategy for ovarian cancer treatment.

The aim of this study was to identify differentially expressed genes (DEGs) in response to α1,2-fucosyl transferase (FUT1) gene transfection in epithelial ovarian cancer cells. Human whole-genome oligonucleotide microarrays were used to determine whether gene expression profile may differentiate the epithelial ovarian cell line Caov-3 transfected with FUT1 from the empty plasmid-transfected cells. Quantitative real-time PCR and immunohistochemical staining validated the microarray results. Gene expression profile identified 215 DEGs according to the selection criteria, in which 122 genes were upregulated and 93 genes were downregulated. Gene Ontology (GO) and canonical pathway enrichment analysis were applied, and we found that these DEGs are involved in BioCarta mammalian target of rapamycin (mTOR) pathway, BioCarta eukaryotic translation initiation factor 4 (EIF4) pathway, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways in cancer. Interaction network analysis predicted genes participating in the regulatory connection. Highly differential expression of TRIM46, PCF11, BCL6, PTEN, and FUT1 genes was validated by quantitative real-time PCR in two cell line samples. Finally, BCL6 and Lewis Y antigen were validated at the protein level by immunohistochemistry in 103 paraffin-embedded ovarian cancer tissues. The identification of genes in response to FUT1 may provide a theoretical basis for the investigations of the molecular mechanism of ovarian cancer.