Abstract:Background: Lung adenocarcinoma (LUAD) accounts for more than 40% of lung cancer cases worldwide, and the 5-year survival rate of LUAD patients is less than 10% due to a lack of reliable therapeutics. Here, we sought to identify a new therapeutic target for LUAD via bioinformatics analysis.Methods: Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was conducted for the differentially expressed genes (DEGs) identified in 551 samples from the Cancer Genome Atlas (TCGA) database. Gene set variati… Show more
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