Integrated multi-omics analysis identifies DARS2, MRTO4, and MRPL37 as novel biomarkers and potential therapeutic targets for bladder cancer.

ABSTRACT:

Background

Bladder cancer (BC) is the predominant malignant tumor in the urinary system globally, with its intricate molecular features greatly influencing patient outcomes and treatment response.Identifying novel biomarkers and therapeutic targets is essential for improving patient management.

Methods

This study utilized advanced bioinformatics techniques to analyze data from multiple public databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), IEU OpenGWAS project, eQTLGen, FinnGen, and DepMap. The analytical framework integrates the limma package for the identification of differentially expressed genes (DEGs), employs Weighted Gene Co-expression Network Analysis (WGCNA) to ascertain genes associated with BC, utilizes Mfuzz-based clustering to

SUBMITTER: Xiao L 

PROVIDER: S-EPMC12799877 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature