Development and validation of a disulfidptosis-related prognostic model for colorectal cancer using multi-omics analysis.

ABSTRACT: This study aims to integrate multi-omic and clinical data concerning disulfidptosis-related genes (DRGs) to facilitate molecular typing and prognosis in colorectal cancer (CRC). Public databases provided CRC transcriptome and clinical data, enabling differential expression, genomic analyses, pathway enrichment, survival analysis, and subtyping based on the expression levels of 15 DRGs identified in published studies. Differentially expressed genes (DEGs) between subtypes were identified to create a disulfidptosis prognostic model using LASSO and Cox regression analyses. This model was evaluated by comparing risk scores, survival curves, cellular infiltration, and drug sensitivity between high- and low-risk groups. Analyses revealed differential expression, mutations, and copy number variat

SUBMITTER: Shi L 

PROVIDER: S-EPMC11914417 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature