A ferroptosis-related risk model for non-coding RNA AC002331.1 in colon cancer: construction via competing endogenous RNA network analysis.

ABSTRACT:

Background

Colon cancer, a globally prevalent malignancy with high mortality, involves lncRNA regulation, ferroptosis pathway abnormalities, and gut microbiota dysbiosis. Ferroptosis-related gene models may aid prognostic evaluation, while microbiota metabolites modulate ferroptosis in contexts like ulcerative colitis.

Methods

Using the GEO dataset (GSE97300), we screened differentially expressed lncRNAs (e.g., AC002331.1). Competing endogenous RNA networks were predicted via miRcode and miRTarBase, followed by integration with FerrDb to establish ferroptosis regulatory relationships. GutMGene analyzed microbiota metabolite-gene interactions. A 12-gene prognostic model (e.g., HMGB1, VEGFA) was constructed using TCGA data and WEKA 3.8, validated by Kaplan-Meier analysis and R

SUBMITTER: Liu J 

PROVIDER: S-EPMC12325823 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature