Bioinformatics-based screening and prediction of compounds and antigen epitopes for immune targets with point mutations in colitis-associated colorectal cancer.

ABSTRACT:

Objective

This study aimed to identify and predict bioactive small molecules and immunogenic antigen epitopes targeting proteins with point mutations in colitis-associated colorectal cancer (CAC), using integrative bioinformatics approaches.

Methods

Genes associated with colorectal cancer (CRC), ulcerative colitis (UC), diabetes mellitus (DM), hyperlipidemia (HL), gout, and functional dyspepsia (FD) were obtained from disease databases and GEO. Overlapping genes were identified using jvenn. CIBERSORT was used for immune infiltration analysis. Prognostic significance was evaluated using KM Plotter, and gene co-expression correlations in CRC were assessed via TIMER. cBioPortal was employed to analyze mutation profiles, tumor mutational burden (TMB), and microsatellite instabil

SUBMITTER: Peng X 

PROVIDER: S-EPMC12858706 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature