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Screening of significant biomarkers related with prognosis of liver cancer by IncRNA-associated ceRNAs analysis

机译:检查相关的重要生物标志物由IncRNA-associated肝癌的预后龙头、分析

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This study aimed to identify significant biomarkers related to the prognosis of liver cancer using long noncoding RNA (IncRNA)-associated competing endogenous RNAs (ceRNAs) analysis. Differentially expressed mRNA and IncRNAs between liver cancer and paracancerous tissues were screened, and the functions of these mRNAs were predicted by gene ontology and pathway enrichment analyses. A ceRNA network consisting of differentially expressed mRNAs and IncRNAs was constructed. LncRNA FENDRR and IncRNA HAND2-AS1 were hub nodes in the ceRNA network. A risk score assessment model consisting of eight genes (PDE2A, ESR1, FBLN5, ALDH8A1, AKR1D1, EHHADH, ADRA1A, and GNE) associated with prognosis were developed. Multivariate Cox regression suggested that both pathologic_T and risk group could be regarded as independent prognostic factors. Furthermore, a nomogram model consisting of pathologic_T and risk group showed a good prediction ability for predicting the survival rate of liver cancer patients. The nomogram model consisting of pathologic_T and a risk score assessment model could be regarded as an independent factor for predicting prognosis of liver cancer.
机译:本研究旨在确定意义重大生物标志物与肝癌的预后有关癌症使用长非编码RNA(IncRNA)相关的内源性rna竞争(龙头)分析。和IncRNAs肝癌和之间paracancerous组织筛选,这些信使rna基因预测的功能本体和通路富集分析。网络组成的差异表达信使rna, IncRNAs构造。和IncRNA HAND2-AS1电抗器,中心节点网络。AKR1D1、EHHADH ADRA1A,斯通)联系在一起预后。回归建议pathologic_T和组可以被视为独立的风险预后因素。pathologic_T和风险集团组成预测的良好的预测能力肝癌患者的生存率。诺模图模型pathologic_T和组成可以被视为风险评分评估模型一个预测预后的独立因素肝癌。

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