Unknown

Dataset Information

Identification and validation of a novel cuproptosis-related signature as a prognostic model for lung adenocarcinoma.


ABSTRACT:

Background

Cuproptosis is a novel form of copper-induced cell death that targets lipoylated tricarboxylic acid (TCA) cycle proteins. However, its prognostic role in lung adenocarcinoma (LUAD) remains unclear. This study aimed to establish a cuproptosis-related prognostic signature for patients with LUAD.

Methods

Transcriptome data of LUAD samples were extracted from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The prognostic value of cuproptosis-related genes (CRGs) was investigated using Cox regression analysis to develop a cuproptosis-related prognostic model. Kyoto Encyclopedia of Genes and Genomes (KEGG), gene ontology (GO) and gene set variation analysis (GSVA) were conducted to characterize different biological activities or pathways betw

SUBMITTER: Chen Y 

PROVIDER: S-EPMC9637654 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature