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Identification of a panel of mitotic spindle-related genes as a signature predicting survival in lung adenocarcinoma

机译:一组有丝分裂的识别spindle-related基因预测作为一个签名在肺腺癌生存

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Lung adenocarcinoma (LUAD) is one of the most malignant tumor types worldwide. Our objective was to identify a genetic signature that could predict the prognosis of patients with LUAD. We extracted gene data sets from The Cancer Genome Atlas and obtained differentially expressed genes that were highly expressed at every stage. These genes were analyzed using gene set enrichment analysis to obtain four biological processes associated with LUAD. Subsequently, Cox univariate and multivariate analyses were performed to generate four optimized models (G2M checkpoint, E2F targets, mitotic spindle, and glycolysis). We identified a mitotic spindle-related signature {KIF15, BUB1, CCNB2, CDK1, KIF4A, DLGAP5, ECT2, and ANLN), which could be an independent prognostic indicator, to predict the prognosis of patients with LUAD. This new discovery should offer opportunities to explore the pathogenesis of LUAD and prove clinically useful in predicting LUAD patient prognosis.
机译:肺腺癌(LUAD)是一种最全球恶性肿瘤类型。是确定一个基因签名,可以吗预测LUAD患者的预后。从癌症基因组提取基因数据集阿特拉斯和获得的差异表达基因在每一个阶段的高度表达。使用基因集富集基因进行了分析分析获得四个生物过程与LUAD有关。单变量和多变量分析生成四个优化模型(G2M执行检查点,E2F目标,有丝分裂纺锤体,糖酵解)。spindle-related签名{KIF15, BUB1 CCNB2,CDK1、KIF4A DLGAP5、ECT2 ANLN),这可能是一个独立的预后指标,预测LUAD患者的预后。新发现应该提供机会探索LUAD的发病机理和证明在预测LUAD病人临床上有用的预后。

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