Metabolism-associated molecular classification of cervical cancer.

ABSTRACT:

Objective

This study aimed to explore metabolic abnormalities in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) for metabolism-related genes.

Methods

We downloaded expression data for metabolism-related genes, performed differential expression analysis, and applied weighted gene co-expression network analysis (WGCNA) to identify metabolism-related functional modules. We obtained normalised miRNA expression data and identified master methylation regulators for metabolism-related genes. Cox regression of data on metabolism-related genes was performed to screen for genes that affect the prognosis of patients with CESC. Furthermore, we selected key genes for validation.

Results

Our results identified 3620 metabolism-related genes in CESC, 2493 of

SUBMITTER: Zhao M 

PROVIDER: S-EPMC10605340 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature