Identification of a panel of mitotic spindle-related genes as a signature predicting survival in lung adenocarcinoma.
作者： Liwen Zhang , Miao He , Wenjing Zhu , Xuemei Lv , Yanyun Zhao
DOI: 10.1002/JCP.29312
关键词:
摘要: Lung adenocarcinoma (LUAD) is one of the most malignant tumor types worldwide. Our objective was to identify a genetic signature that could predict prognosis patients with LUAD. We extracted gene data sets from The Cancer Genome Atlas and obtained differentially expressed genes were highly at every stage. These analyzed using set enrichment analysis obtain four biological processes associated Subsequently, Cox univariate multivariate analyses performed generate optimized models (G2M checkpoint, E2F targets, mitotic spindle, glycolysis). identified spindle-related (KIF15, BUB1, CCNB2, CDK1, KIF4A, DLGAP5, ECT2, ANLN), which be an independent prognostic indicator, This new discovery should offer opportunities explore pathogenesis LUAD prove clinically useful in predicting patient prognosis.
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