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Background <p>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.</p> Methods <p>Using the GEO dataset (GSE97300), we screened differentially expressed lncRNAs (e.g., <i>AC002331.1</i>). 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., <i>HMGB1</i>, <i>VEGFA</i>) was constructed using TCGA data and WEKA 3.8, validated by Kaplan-Meier analysis and ROC curves (10-fold cross-validation).</p> Results <p>LncRNA <i>AC002331.1</i> was upregulated in colon cancer and positively associated with improved OS/DFS (log-rank test, <i>p</i> &lt; 0.05). Its ceRNA network regulated 29 ferroptosis-related genes. The prognostic model showed discriminative power (ROC AUC = 0.653–0.683). Model genes were co-regulated by microbiota metabolites (e.g.,succinate).</p> Conclusions <p>This study establishes the first lncRNA <i>AC002331.</i>1-centered ceRNA-ferroptosis prognostic model for colon cancer, revealing microbiota-metabolite interactions in disease progression. It provides novel mechanistic insights for therapeutic targeting.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月5日

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  • Jiahui Liu,
  • Chenning Zhang,
  • Bao Ma,
  • Jie Qi,
  • Xinghai Zhang,
  • Hengli Zhao

摘要

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 ROC curves (10-fold cross-validation).

Results

LncRNA AC002331.1 was upregulated in colon cancer and positively associated with improved OS/DFS (log-rank test, p < 0.05). Its ceRNA network regulated 29 ferroptosis-related genes. The prognostic model showed discriminative power (ROC AUC = 0.653–0.683). Model genes were co-regulated by microbiota metabolites (e.g.,succinate).

Conclusions

This study establishes the first lncRNA AC002331.1-centered ceRNA-ferroptosis prognostic model for colon cancer, revealing microbiota-metabolite interactions in disease progression. It provides novel mechanistic insights for therapeutic targeting.