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• W2807777360 abstract "Twenty-gene-based prognostic model predicts lung adenocarcinoma survival Kai Zhao,1,2 Zulei Li,2 Hui Tian,1 1Department of Thoracic Surgery, Qilu Hospital of Shandong University, Jinan, Shandong Province, China; 2Department of Thoracic Surgery, Zibo Central Hospital, Zibo, Shandong Province, China Introduction: Lung adenocarcinoma (LAC) accounts for more than a half of non-small cell lung cancer with high morbidity and mortality. Progression of treatment has not accelerated the improvement of its prognosis. Hence, it is an urgent need to develop novel biomarkers for its early diagnosis and treatment. Materials and methods: In this study, we proposed to identify LAC survival-related genes through comprehensive analysis of large-scale gene expression profiles. LAC gene expression data sets were obtained from The Cancer Genome Atlas (TCGA). Identification of differentially expressed genes (DEGs) in LAC compared with adjacent normal lung tissues was first performed followed by univariate Cox regression analysis to obtain genes that are significantly associated with LAC survival (SurGenes). Then, we conducted sure independence screening (SIS) for SurGenes to identify more reliable genes and the prognostic signature for LAC survival prediction. Another two lung cancer data sets from TCGA and Gene Expression Omnibus (GEO) were used for the validation of prognostic signature. Results: A total of 20 genes were obtained, which were significantly associated with the overall survival (OS) of LAC patients. The prognostic signature, a weighted linear combination of the 20 genes, could successfully separate LAC samples with high OS from those with low OS and had robust predictive performance for survival (training set: p-value" @default.
• W2807777360 created "2018-06-21" @default.
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• W2807777360 date "2018-06-01" @default.
• W2807777360 modified "2023-10-02" @default.
• W2807777360 title "Twenty-gene-based prognostic model predicts lung adenocarcinoma survival" @default.
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• W2807777360 doi "https://doi.org/10.2147/ott.s158638" @default.
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