Construction and validation of a prognostic model for stemness-related genes in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer with poor overall prognosis. Early identification of high-risk patients and individualized treatment can help extend the survival time of patients. This study aimed to construct and validate a prognostic prediction least absolute shrinkage and selection operator (LASSO) model for stemness-related genes in LUAD.

Methods

Firstly, LUAD RNA-sequencing data and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. The tumor stemness index based on mRNA expression (mRNAsi) was calculated, and the relationship between mRNAsi and the survival prognosis as well as clinical features of LUAD patients was analyzed. Then, the weighted gene co-expression network analysis (WGCNA)

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11009808 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature