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pmid:39043840
circRNA-0015004 act as a ceRNA to promote RCC2 expression in hepatocellular carcinoma.
Jie Zhao · Tong Zhang · Peng Wu · Jiajing Qiu · Kejia Wu · Longqing Shi · Qiang Zhu · Jun Zhou
Scientific reports · 2024 doi:10.1038/s41598-024-67819-8
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Based on the analysis of GEO data (GSE12174), hsa-circRNA-0015004 (circ-0015004) was screened and validated in 80 sets of HCC specimens. Subcellular fractionation analysis was designed to determine the cellular location of circ-0015004. Colony formation and cell counting kit-8 were performed to investigate the role of circ-0015004 in HCC. Dual-luciferase reporter gene assays, RNA immunoprecipitation and chromatin immunoprecipitation were employed to verify the interaction among circ-0015004, miR-330-3p and regulator of chromatin condensation 2 (RCC2). The expression level of circ-0015004 was significantly upregulated in HCC cell lines and HCC tissues. HCC patients with higher circ-0015004 levels displayed shorter overall survival, and higher tumor size and TNM stage. Moreover, knockdown of circ-0015004 significantly reduced HCC cell proliferation in vitro and inhibited the growth of HCC in nude mice. Mechanistic studies revealed that circ-0015004 could upregulate the expression of RCC2 by sponging miR-330-3p, thereby promoting HCC cell proliferation. Furthermore, we identified that Ying Yang 1 (YY1) could function as an important regulator of circ-0015004 transcription. This study systematically demonstrated the novel regulatory signaling of circ-0015004/miR-330-3p/RCC2 axis in promoting HCC progression, providing insight into HCC diagnosis and treatment from bench to clinic.", "claims": [{"id": "claim-method", "statement": "Statistical significance between the means of two groups was determined using Student’s t tests (normal distribution). The statistics of the means of multiple groups were performed using one-way ANOVA or two-way ANOVA. For survival analysis, the overall survival (OS) rate was calculated employing the Kaplan–Meier method and compared using the log-rank test. 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