Zhao K, et al. - Researchers performed a comprehensive analysis of large-scale gene expression profiles in order to identify lung adenocarcinoma (LAC) survival-related genes. They used The Cancer Genome Atlas (TCGA) and obtained LAC gene expression data sets. Using univariate Cox regression analysis, they obtained genes that were significantly related to LAC survival (SurGenes). Thereafter, identification of more reliable genes and the prognostic signature for LAC survival prediction was performed via sure independence screening (SIS) for SurGenes. Based on the findings, they concluded that in LAC, a moderate overall survival (OS) prediction was provided by the prognostic signature (a weighted linear combination of the 20 genes) combined with multi-gene expression profiles, along with guidance regarding appropriate treatment method selection.