Identification of prognostic gene signature associated with microenvironment of lung adenocarcinoma.

ABSTRACT:

Background

Lung cancer has the highest morbidity and mortality worldwide, and lung adenocarcinoma (LADC) is the most common pathological subtype. Accumulating evidence suggests the tumor microenvironment (TME) is correlated with the tumor progress and the patient's outcome. As the major components of TME, the tumor-infiltrated immune cells and stromal cells have attracted more and more attention. In this study, differentially expressed immune and stromal signature genes were used to construct a TME-related prognostic model for predicting the outcomes of LADC patients.

Methods

The expression profiles of LADC samples with clinical information were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) related t

SUBMITTER: Yue C 

PROVIDER: S-EPMC6886493 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature