The RNA binding protein QKI5 suppresses ovarian cancer via down-regulating transcriptional coactivator TAZ

Abstract Background Circular RNAs (circRNAs) are increasingly recognized as important regulators in cancer including ovarian cancer (OC). This work focuses on the effects of circ_0000745 on the OC development of and molecules involved. Methods Expression of circ_0000745 in collected OC tissues and the acquired OC cell lines was examined by RT-qPCR. The stability of circ_0000745 in cells was examined by RNase R treatment. The target transcripts interacted with circ_0000745 were predicted using bioinformatic systems. Gain- and loss-of-function studies of circ_0000745, microRNA (miR)-3187-3p and erb-b2 receptor tyrosine kinase 4 (ERBB4) were conducted to determine their functions on proliferation, migration, invasion and stem cell property of OC cells. Results Circ_0000745 and ERBB4 were abundantly expressed while miR-3187-3p was poorly expressed in OC tissues and cells. Circ_0000745 sequestered miR-3187-3p and blocked its repressive effect on ERBB4. Downregulation of circ_0000745 reduced proliferation, aggressiveness, epithelial-mesenchymal transition, and stemness of SK-OV-3 cells, but this reduction was blocked upon miR-3187-3p inhibition or ERBB4 upregulation. By contrast, artificial induction of circ_0000745 upregulation, miR-3187-3p upregulation and ERBB4 downregulation led to inverse trends in ES-2 cells. ERBB4 promoted the phosphorylation of the PI3K/AKT signaling pathway. An RNA binding protein IGF2BP2 was found to circ_0000745 bind to and promote its expression and stability. Conclusion This study demonstrated that circ_0000745 upregulated by IGF2BP2 promotes aggressiveness and stemness of OC cells through a miR-3187-3p/ERBB4/PI3K/AKT axis. Circ_0000745 may serve as a promising target for OC treatment.

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913 POSTER Plasminogen activator inhibitor-1 RNA binding protein expression in epithelial ovarian cancer

European Journal of Cancer Supplements ◽

10.1016/s1359-6349(05)81208-x ◽

2005 ◽

Vol 3 (2) ◽

pp. 263

Keyword(s):

Ovarian Cancer ◽

Protein Expression ◽

Epithelial Ovarian Cancer ◽

Plasminogen Activator ◽

Rna Binding ◽

Binding Protein ◽

Rna Binding Protein ◽

Plasminogen Activator Inhibitor ◽

Plasminogen Activator Inhibitor 1 ◽

Activator Inhibitor

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Downregulation of RNA binding protein CIRBP (cold-inducible RNA-binding protein) promotes ovarian cancer progression by regulating MAP2K4 mRNA stability and translation

Gynecologic Oncology ◽

10.1016/j.ygyno.2019.04.156 ◽

2019 ◽

Vol 154 ◽

pp. 66

Author(s):

D. Zou ◽

D. Wang ◽

Q. Zhou ◽

J. Yu

Keyword(s):

Ovarian Cancer ◽

Cancer Progression ◽

Mrna Stability ◽

Rna Binding ◽

Binding Protein ◽

Rna Binding Protein

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The RNA-Binding Protein CELF2 Inhibits Ovarian Cancer Progression by Stabilizing FAM198B

Molecular Therapy — Nucleic Acids ◽

10.1016/j.omtn.2020.10.011 ◽

2021 ◽

Vol 23 ◽

pp. 169-184

Author(s):

Qinhao Guo ◽

Yong Wu ◽

Xueqi Guo ◽

Lijie Cao ◽

Fei Xu ◽

...

Keyword(s):

Ovarian Cancer ◽

Cancer Progression ◽

Rna Binding ◽

Binding Protein ◽

Rna Binding Protein

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Establishment and validation of an RNA binding protein-associated prognostic model for ovarian cancer

Journal of Ovarian Research ◽

10.1186/s13048-021-00777-1 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Chaofan He ◽

Fuxin Huang ◽

Kejia Zhang ◽

Jun Wei ◽

Ke Hu ◽

...

Keyword(s):

Ovarian Cancer ◽

Target Genes ◽

Rna Binding ◽

Cox Regression ◽

Binding Protein ◽

Expression Profiles ◽

Rna Binding Protein ◽

Functional Enrichment ◽

Differentially Expressed ◽

Cox Regression Analysis

Abstract Background Ovarian cancer (OC) is one of the most common gynecological malignant tumors worldwide, with high mortality and a poor prognosis. As the early symptoms of malignant ovarian tumors are not obvious, the cause of the disease is still unclear, and the patients’ postoperative quality of life of decreases. Therefore, early diagnosis is a problem requiring an urgent solution. Methods We obtained the gene expression profiles of ovarian cancer and normal samples from TCGA and GTEx databases for differential expression analysis. From existing literature reports, we acquired the RNA-binding protein (RBP) list for the human species. Utilizing the online tool Starbase, we analyzed the interaction relationship between RBPs and their target genes and selected the modules of RBP target genes through Cytoscape. Finally, univariate and multivariate Cox regression analyses were used to determine the prognostic RBP signature. Results We obtained 527 differentially expressed RBPs, which were involved in many important cellular events, such as RNA splicing, the cell cycle, and so on. We predicted several target genes of RBPs, constructed the interaction network of RBPs and their target genes, and obtained many modules from the Cytoscape analysis. Functional enrichment of RBP target genes also includes these important biological processes. Through Cox regression analysis, OC prognostic RBPs were identified and a 10-RBP model constructed. Further analysis showed that the model has high accuracy and sensitivity in predicting the 3/5-year survival rate. Conclusions Our study identified differentially expressed RBPs and their target genes in OC, and the results promote our understanding of the molecular mechanism of ovarian cancer. The current study could develop novel biomarkers for the diagnosis, treatment, and prognosis of OC and provide new ideas and prospects for future clinical research.

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