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ABSTRACT: Background
Lung adenocarcinoma (LUAD) is the leading histological subtype of non-small cell lung cancer (NSCLC).Methods
In the present study, the gene matrixes of LUAD were downloaded from The Cancer Genome Atlas to infer immune and stromal scores with the 'Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data' (ESTIMATE) algorithm and identified immune-related differentially expressed genes (DEGs) between the high- and low-stromal/immune score groups. Next, all DEGs were subjected to univariate Cox regression and survival analyses to screen out prognostic biomarkers in the tumor microenvironment (TME), and were validated in the Gene Expression Omnibus database. Single-sample gene set enrichment analysis (ssGSEA) was performed to assess the
SUBMITTER: Lin J
PROVIDER: S-EPMC8106393 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature