Highly expressed long non-coding RNA DUXAP10 promotes proliferation of ovarian cancer

Q. Zhang, W.-W. Wang, T.-H. Xu, Z.-F. Xu

Department of Prenatal Diagnosis, State Key Laboratory of Reproductive Medicine, Obstretrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China. zhengfeng_xu123@163.com

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• Oncology

OBJECTIVE: To investigate the expression of long non-coding RNA DUXAP10 in ovarian cancer and its effect on ovarian cancer cell lines HO8910 and A2780 cells.

MATERIALS AND METHODS: Search the microarray dataset from the Gene Expression Omnibus (GEO) database using the keywords “ovarian cancer” and “GPL570”. The differentially expressed genes in ovarian cancer tissues and normal ovarian tissues were analyzed by bioinformatics. Normal ovarian epithelial cells IOSE386, ovarian cancer HEY, HO8910 and A2780 cell lines were cultured. Cell proliferation assay was detected by CCK8 method and cloning formation assay was done. Quantitative Real-time polymerase chain reaction (qRT-PCR) was used to detect the expression of RNA.

RESULTS: The results showed that the expression of DUXAP10 in ovarian cancer tissues was significantly higher than that in normal ovarian tissues, which was consistent with those of TCGA. Clinical data analysis showed that the expression level of DUXAP10 was correlated with tumor size and FIGO stage in clinical patients. Compared with the negative control group, the proliferation ability and cell cloning ability of HO8910 cells overexpressing DUXAP10 were significantly increased (p<0.001), while the proliferation and cell cloning ability of A2780 cells interfering with DUXAP10 were significantly decreased (p<0.001), indicating that DUXAP10 played a role in promoting the proliferation of ovarian cancer cells.

CONCLUSIONS: DUXAP10 was significantly overexpressed in ovarian cancer tissues, and its expression was positively correlated with tumor size and FIGO stage in clinical patients. DUXAP10 promoted the proliferation of ovarian cancer cells and was expected to be a predictor and a potential therapeutic target of ovarian cancer.

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