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Regulatory network of circRNA–miRNA–mRNA contributes to the histological classification and disease progression in gastric cancer

机译:circRNA–miRNA–mRNA调控网络有助于胃癌的组织学分类和疾病进展

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Little has been known about the role of non-coding RNA regulatory network in the patterns of growth and invasiveness of gastric cancer (GC) development. MicroRNAs (miRNAs) microarray was used to screen differential miRNA expression profiles in Ming’s classification. The significant differential expressions of representative miRNAs and their interacting circular RNA (circRNA) were confirmed in GC cell line and 63 pairs of GC samples. Then, a circRNA/miRNA network was constructed by bioinformatics approaches to identify molecular pathways. Finally, we explored the clinical value of the common targets in the pathway by using receiver operating characteristic curve and survival analysis. Significantly differential expressed miRNAs were found in two pathological types of GC. Both of miR-124 and miR-29b were consistently down-regulated in GC. CircHIPK3 could play a negative regulatory role on miR-124/miR-29b expression and associated with T stage and Ming’s classification in GC. The bioinformatics analyses showed that targets expression of circHIPK3-miR-124/miR-29b axes in cancer-related pathways was able to predict the status of GC and associated with individual survival time. The targets of circHIPK3-miR-124/miR-29b axes involved in the progression of GC. CircHIPK3 could take part in the proliferation process of GC cell and may be potential biomarker in histological classification of GC.
机译:关于非编码RNA调控网络在胃癌(GC)的生长和浸润模式中的作用,人们所知甚少。 MicroRNA(miRNA)芯片用于筛选Ming类别中不同的miRNA表达谱。在GC细胞系和63对GC样品中证实了代表性miRNA及其相互作用的环状RNA(circRNA)的显着差异表达。然后,通过生物信息学方法构建了一个circRNA / miRNA网络,以鉴定分子途径。最后,我们通过使用受体工作特征曲线和生存分析,探索了该途径中常见靶标的临床价值。在两种病理类型的GC中发现了显着差异表达的miRNA。 miR-124和miR-29b在GC中均持续下调。 CircHIPK3可能对miR-124 / miR-29b的表达起负调控作用,并且与GC中的T期和Ming的分类有关。生物信息学分析表明,circHIPK3-miR-124 / miR-29b轴在癌症相关途径中的靶标表达能够预测GC的状态并与个体生存时间相关。 circHIPK3-miR-124 / miR-29b轴的目标参与了GC的发展。 CircHIPK3可能参与GC细胞的增殖过程,可能是GC组织学分类中潜在的生物标志物。

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