Prognostic value and experimental validation of atherosclerosis-derived pathogenic genes in colorectal cancer.

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 model with 6 key genes ( Results: The model showed reliable predictive performance. Low-risk groups had enriched activated dendritic cells and follicular helper T cells; high-risk groups featured memory B cells and resting mast cells. Most genes overexpressed in lesions, except Conclusion: A CRC risk model based on 6 AS-related genes was developed, identifying 3 novel AS genes. It highlights shared genetic factors, offering prognostic biomarkers for both diseases and insights into their interconnected mechanisms.