Transcriptome analysis reveals gender-specific differences in overall metabolic response of male and female patients in lung adenocarcinoma.

ABSTRACT:

Background

Evidence from multiple studies suggests metabolic abnormalities play an important role in lung cancer. Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer. The present study aimed to explore differences in the global metabolic response between male and female patients in LUAD and to identify the metabolic genes associated with lung cancer susceptibility.

Methods

Transcriptome and clinical LUAD data were acquired from The Cancer Genome Atlas (TCGA) database. Information on metabolic genes and metabolic subsystems were collected from the Recon3D human metabolic model. Two validation datasets (GSE68465 and GSE72094) were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis, gene set enrichment analysis and prot

SUBMITTER: Li Y 

PROVIDER: S-EPMC7112214 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature