An efficient epithelial-mesenchymal transition-related gene signature for predicting the survival of patients with lung adenocarcinoma.

ABSTRACT:

Background

Epithelial-mesenchymal transition (EMT) plays an important role in the pathogenesis of lung adenocarcinoma (LUAD). In this study, we aimed to construct a prognostic signature based on EMT that could predict the prognosis of patients with LUAD.

Methods

The messenger RNA (mRNA) expression profiles and the clinical data were downloaded from The Cancer Genome Atlas (TCGA) as the training set while data from the Gene Expression Omnibus (GEO) served as the validation set. Differentially expressed EMT-related genes (EMTGs) were identified from the training dataset. Univariate and multivariate Cox regression analyses were employed to develop a gene signature from the EMTGs to predict overall survival (OS) time. The prediction performance of the signature was tested using

SUBMITTER: Han P 

PROVIDER: S-EPMC12432770 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature