Background:
Ovarian cancer (OC) is the most prevalent gynecologic malignancy, with high mortality rates. However, its pathogenesis remains unclear. The current study aimed to explore potential biomarkers and suppressor genes for diagnosing and treating OC.
background:
Ovarian cancer (OC) is the most prevalent gynecologic malignancy, causing high mortality rates. However, the pathogenesis and effective treatment of OC remain unclear. Effective screening of potential target genes through bioinformatics and biological experiments has become the first choice in OC research.
Methods:
Biochemical and bioinformatics approaches were used to detect differentially expressed genes (DEGs) in ovarian tissues via integration analysis. Kaplan–Meier plot analysis was performed to assess progression-free survival and overall survival according to DEGs. Then, we constructed a protein–protein interaction (PPI) network based on data from the STRING database to identify the related target genes of DEGs. Finally, DEGs regulating the proliferation, migration, and invasion of SKOV3 cell lines were validated via in vitro experiments.
Results:
Four DEGs (MUM1L1, KLHDC8A, CRYGD, and GREB1) with enriched expression in ovarian tissues were explicitly expressed in the ovary based on an analysis of all human proteins. MUM1L1 had high specificity, and its expression was higher in normal ovarian tissues than in OC tissues. Kaplan–Meier plot analysis showed that a high MUM1L1 expression was associated with longer progression-free survival and overall survival in OC. Based on the PPI analysis results, CBLN4, CBLN1, PTH2R, TMEM255B, and COL23A1 were associated with MUM1L1. In vitro studies revealed that MUM1L1 overexpression decreased the proliferation, migration, and invasion ability of SKOV3 cell lines. Meanwhile, MUM1L1 knockdown had contrasting results.
Conclusion:
MUM1L1 is a tumor suppressor gene and is a potential biomarker for diagnosing and treating OC.
result:
MUM1L1 is differentially expressed in normal ovarian tissue and cancer, as per the extensive bioinformatics analysis. The mRNA transcript of pcDNA MUM1L1 was significantly elevated in plasmid-transfected SKOV3 cells; in contrast, si-MUM1L1 mRNA transcripts were significantly reduced. Functional studies determined that MUM1L1 overexpression induced apoptosis in SKOV3 cells and inhibited cell proliferation, migration and invasion. Differently, knockdown of MUM1L1 suppressed apoptosis and promoted SKOV3 cells proliferation, migration and invasion of SKOV3 cells.