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Analysis of Competing Endogenous RNA Network and Prediction of Prognosis in Acute Lymphoblastic Leukemia Patients of Phase II and III

机译:竞争内源性RNA网络的分析及III期急性淋巴细胞白血病患者预后预测

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In this paper, we focused on the competing endogenous RNA (ceRNA) of IncRNA-mRNA-miRNA regulatory network and the target mRNAs as biomarker predicting progression of acute lymphoblastic leukemia (ALL) based on the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) database. By screening the RNA-seq, 112 differentially expressed IncRNAs (DElncRNAs), 73 differentially expressed miRNAs (DEmiRNAs) and and 204 differentially expressed mRNAs (DEmRNAs) were found by edgeR package (adjusted P-value < 0.01 and |LogFoldChange| > 4). Among then, the regulatory of 12 DElncRNAs, 5 DEmRNAs and 15 DEmiRNAs was found for the construction of the ceRNA network. 3 DEmRNAs in the ceRNA network, PRKAA2, FOXF2 and TFAP2C, constructed a COX model for the progressive prediction of ALL and was verified by the receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and kaplan-meier survival curve in a 5-year analysis.
机译:在本文中,我们专注于IncRNA-mRNA-miRNA调节网络的竞争内源性RNA(CERNA)和靶MRNA作为生物标志物,作为基于治疗适用的研究的急性淋巴细胞白血病(ALL)的进展,以产生有效治疗(目标)数据库。通过筛选RNA-SEQ,112差异表达的Incrnas(Delncrnas),通过Edger封装发现了73个差异表达的miRNA(DemiRNA)和和204个差异表达的MRNA(DEMRNA)(调整的P值<0.01和|> 4) 。其中,找到了12个Delncrna,5 demrnas和15个DemiRnas的调节,用于建造Cerna网络。 Cerna网络中的3 DEMRNA,PRKAA2,FOXF2和TFAP2C,构建了所有COX模型,用于所有的渐进预测,并通过ROC曲线(AUC)下的接收器操作特征(ROC)曲线验证和Kaplan-Meier生存曲线在5年的分析中。

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