5-mRNA-based prognostic signature of survival in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the most common non-small-cell lung cancer, with a high incidence and a poor prognosis.

Aim

To construct effective predictive models to evaluate the prognosis of LUAD patients.

Methods

In this study, we thoroughly mined LUAD genomic data from the Gene Expression Omnibus (GEO) (GSE43458, GSE32863, and GSE27262) and the Cancer Genome Atlas (TCGA) datasets, including 698 LUAD and 172 healthy (or adjacent normal) lung tissue samples. Univariate regression and LASSO regression analyses were used to screen differentially expressed genes (DEGs) related to patient prognosis, and multivariate Cox regression analysis was applied to establish the risk score equation and construct the survival prognosis model. Receiver operating characteri

SUBMITTER: Xia QL 

PROVIDER: S-EPMC9850667 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature