Ontology highlight
ABSTRACT: Background
Malignant tumors remain a major threat to global human health. This study aimed to systematically integrate multi-omics data to identify a candidate gene with biomarker potential across diverse cancer types and to evaluate its possible clinical applications in oncology.Methods
We first performed Mendelian randomization based on summary statistics to integrate blood expression quantitative trait loci data with genome-wide association study results from esophageal adenocarcinoma, stomach cancer, and clear cell renal cell carcinoma. A comprehensive series of multi-omics bioinformatics analyses was subsequently conducted to assess the gene's expression patterns, genomic alterations, prognostic relevance, and associations with the tumor microenvironment (TME) across v
SUBMITTER: Lv F
PROVIDER: S-EPMC12391104 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature