Ontology highlight
ABSTRACT: Objectives
Colorectal cancer (CRC) and atherosclerosis (AS) share pathological phenotypes and clinical links, but their shared pathogenic mechanisms are unclear. This study aimed to identify shared genetic drivers, construct a CRC risk model using AS-related genes, and validate expression via multi-omics.Methods
Transcriptomic data from The Cancer Genome Atlas and Gene Expression Omnibus were analyzed. Core gene modules associated with CRC and AS were screened using weighted gene co-expression network analysis and differentially expressed genes with significant expression differences between CRC tissues and normal tissues were identified through differential analysis. The intersection of these three sets of genes was taken to determine the overlapping genes. A prognostic mo
SUBMITTER: Li Y
PROVIDER: S-EPMC12832349 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature