scholarly journals Low Expression of Circular RNA hsa_circ_0078607 Predicts Poor Prognosis in High-Grade Serous Ovarian Cancer

2021 ◽  
Vol Volume 13 ◽  
pp. 2877-2883
Author(s):  
Nan Zhang ◽  
Zhiyou Yang ◽  
Yue Jin ◽  
Shanshan Cheng ◽  
Jiani Yang ◽  
...  
2020 ◽  
Author(s):  
Nan Zhang ◽  
Zhiyou Yang ◽  
Yue Jin ◽  
Shanshan Cheng ◽  
Jiani Yang ◽  
...  

Abstract Background Ovarian cancer remains one of the most lethal malignancies in women which is typically diagnosed at a late stage and has no effective screening strategy. It is essential to explore novel biomarkers for the diagnosis and prognosis of ovarian cancer, as well as therapeutic targets. Recent studies have shown that circRNAs participate in ovarian cancer progression by regulating various processes and being able to act as potential biomarkers for ovarian cancer diagnosis and prognosis. In the present study we aimed to explore the prognostic role of circ_0078607 in high-grade serous ovarian cancer. Results The expression of circ_0078607 in 49 high-grade serous ovarian cancer and adjacent non-cancerous tissue samples were detected by quantitative real-time polymerase chain reaction (qRT-PCR). We noticed that circ_0078607 expression was significantly downregulated in ovarian cancer tissues compared with adjacent non-cancerous tissues. Besides, patients with low circ_0078607 expression exhibited parameters associated with poor prognosis, including advanced FIGO stage and higher serum CA125 level. Kaplan-Meier survival curve analysis showed that both progression-free survival and overall survival were significantly shortened in patients with low circ_0078607 expression. Cox regression model analysis showed that low expression of circ_0078607 was an adverse prognostic indicator for high-grade serous ovarian cancer patients. Conclusions Low expression of circ_0078607 might be an adverse prognostic indicator for high-grade serous ovarian cancer patients.


2017 ◽  
Vol 51 (6) ◽  
pp. 1887-1897 ◽  
Author(s):  
Razan Sheta ◽  
Magdalena Bachvarova ◽  
Marie Plante ◽  
Jean Gregoire ◽  
Marie-Claude Renaud ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiao-fei Li ◽  
Hai-yan Sun ◽  
Tian Hua ◽  
Hai-bo Zhang ◽  
Yun-jie Tian ◽  
...  

Aberrant DNA methylation is considered to play a critical role in the chemoresistance of epithelial ovarian cancer (EOC). In this study, we explored the relationship between hypermethylation of the Mahogunin Ring Finger 1 (MGRN1) gene promoter and primary chemoresistance and clinical outcomes in high-grade serous ovarian cancer (HGSOC) patients. The MALDI-TOF mass spectrometry assays revealed a strong association between hypermethylation of the MGRN1 upstream region and platinum resistance in HGSOC patients. Spearman’s correlation analysis revealed a significantly negative connection between the methylation level of MGRN1 and its expression in HGSOC. In vitro analysis demonstrated that knockdown of MGRN1 reduced the sensitivity of cells to cisplatin and that expression of EGR1 was significantly decreased in SKOV3 cells with low levels of MGRN1 expression. Similarly, EGR1 mRNA expression was lower in platinum-resistant HGSOC patients and was positively correlated with MGRN1 mRNA expression. Kaplan-Meier analyses showed that high methylation of the MGRN1 promoter region and low expression of MGRN1 were associated with worse survival of HGSOC patients. In multivariable models, low MGRN1 expression was an independent factor predicting poor outcome. Furthermore, low expression of EGR1 was also been confirmed to be significantly related to the poor prognosis of HGSOC patients by Kaplan-Meier. The hypermethylation of the MGRN1 promoter region and low expression of MGRN1 were associated with platinum resistance and poor outcomes in HGSOC patients, probably by altering EGR1 expression.


2015 ◽  
Vol 75 (21) ◽  
pp. 4494-4503 ◽  
Author(s):  
Martin Turcotte ◽  
Kathleen Spring ◽  
Sandra Pommey ◽  
Guillaume Chouinard ◽  
Isabelle Cousineau ◽  
...  

2018 ◽  
Vol 143 (11) ◽  
pp. 2973-2984 ◽  
Author(s):  
Chengjuan Jin ◽  
Zhaojian Liu ◽  
Yingwei Li ◽  
Hualei Bu ◽  
Yu Wang ◽  
...  

2019 ◽  
Vol 13 (2) ◽  
pp. 204-211 ◽  
Author(s):  
Yan Gao ◽  
Chuanqi Zhang ◽  
Yisi Liu ◽  
Min Wang

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