首页> 外文期刊>Journal of immunology research. >Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N 6 -Methyladenosine RNA Methylation Regulators
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Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N 6 -Methyladenosine RNA Methylation Regulators

机译:基于N 6 - 甲基腺苷RNA甲基化调节剂的透明细胞肾细胞癌的新预后风险特征的鉴定

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As the most prevalent internal eukaryotic modification, N 6 -methyladenosine (m 6 A) is installed by methyltransferases, removed by demethylases, and recognized by readers. However, there are few studies on the role of m 6 A in clear cell renal cell carcinoma (ccRCC). In this study, we researched the RNA-seq transcriptome data of ccRCC in the TCGA dataset and used bioinformatics analyses to detect the relationship between m 6 A RNA methylation regulators and ccRCC. First, we compared the expression of 18 m 6 A RNA methylation regulators in ccRCC patients and normal tissues. Then, data from ccRCC patients were divided into two clusters by consensus clustering. LASSO Cox regression analysis was used to build a risk signature to predict the prognosis of patients with ccRCC. An ROC curve, univariate Cox regression analysis, and multivariate Cox regression analysis were used to verify this risk signature’s predictive ability. Then, we internally validated this signature by random sampling. Finally, we explored the role of the genes in the signature in some common pathways. Gene distribution between the two subgroups was different; cluster 2 was gender-related and had a worse prognosis. IGF2BP3, IGF2BP2, HNRNPA2B1, and METTL14 were chosen to build the risk signature. The overall survival of the high- and low-risk groups was significantly different ( ). The ROC curve also indicated that the risk signature had a decent predictive significance ( ). These results imply that the risk signature has a potential value for ccRCC treatment.
机译:作为最普遍的内部真核修饰,N 6-甲基碳苷(M 6 A)由甲基转移酶安装,通过去甲基酶除去,并被读者识别。然而,少数关于M 6 A在透明细胞肾细胞癌(CCRCC)中的作用的研究。在本研究中,我们研究了TCGA数据集中CCRCC的RNA-SEQ转录组数据,并使用生物信息学分析以检测M 6在RNA甲基化调节剂和CCRCC之间的关系。首先,我们将18M 6甲基化调节剂的表达与CCRCC患者和正常组织进行了比较。然后,来自CCRCC患者的数据通过共识聚类分为两个群集。套索COX回归分析用于建立风险签名,以预测CCRCC患者的预后。 ROC曲线,单变量COX回归分析和多变量COX回归分析用于验证这种风险签名的预测能力。然后,我们通过随机抽样内部验证了此签名。最后,我们探讨了一些常见途径在签名中的基因的作用。两个亚组之间的基因分布不同;群集2与性别有关,预后更糟糕。选择IGF2BP3,IGF2BP2,HNRNPA2B1和METT14以构建风险签名。高风险群体的整体生存率显着不同()。 ROC曲线还表明风险签名具有体面的预测意义()。这些结果意味着风险签名具有CCRCC治疗的潜在价值。

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