ERRα expression in ovarian cancer and promotes ovarian cancer cells migration in vitro
Archives of Gynecology and Obstetrics(2021)
Abstract
Purpose Ovarian cancer is the leading cause of death from a gynaecological malignancy in the developed world, and is characterized by invasion and metastasis and thus causes a high fatality rate. Estrogen-related receptor alpha (ERRα) has been demonstrated to play a widespread and pathophysiological relevant role in tumourigenesis and development. The aim of this study was to investigate the effect of ERRα expression on the progression of ovarian cancer. Methods The correlation between ERRα expression level and clinical pathological parameters in ovarian cancer tissues were analysed via cancer public database CPTAC. The expression level of ERRα in ovarian cancer cells were confirmed by RT-qPCR and Western blot methods. The cellular ERRα expression was up-regulated by lentivirus transfection and down-regulated by specific antagonist. The invasion and metastasis capabilities of ovarian cancer cells were characterized by wound healing assay and trans-well chamber assay. Results The CPTAC database showed that the ERRα expression levels were higher in the late-stage and high-grade ovarian cancer tissues than in early-stage and low-grade tissues. Ovarian cancer cells with higher-expression ERRα exhibited stronger invasion and metastasis capabilities in vitro. After up-regulating the ERRα expression level, the invasion and metastasis capabilities of ovarian cancer cells were enhanced, while down-regulation weakened. Moreover, the wound sealing rate was positively correlated with the expression of ERRα mRNA expression level ( r = 0.921, P < 0.01), and the cell invasiveness was also positively correlated with the cellular ERRα mRNA expression level ( r = 0.926, P < 0.01). Conclusions Our results suggest that ERRα may promote the progression of ovarian cancer, and may serve as a promising predictive biomarker.
MoreTranslated text
Key words
Estrogen receptor-associated receptor α, Invasion, Metastasis, Ovarian cancer
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined