A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is a major cause of cancer death. Therefore, identifying potential prognostic risk factors is critical to improve the survival of patients with LUAD.

Methods

Here, relevant datasets were downloaded from TCGA and GEO databases to screen the differentially expressed genes (DEGs). Univariate Cox analysis, LASSO regression analysis and multivariate Cox analysis were conducted on the DEGs combined with TCGA clinical data, and finally a risk assessment model based on 10 feature genes was constructed.

Results

The prognosis of patients was evaluated after the patients were grouped based on the median risk score and the results showed that the survival time of patients in the high-risk group was significantly shorter than that in the low-r

SUBMITTER: Jiang H 

PROVIDER: S-EPMC7439715 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature