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Background <p>Exosomes play a crucial role in tumor microenvironment (TME) by mediating cell-cell communication, but their role in colorectal cancer (CRC) remains unclear. This study aimed to investigate exosome-related lncRNAs (ER-lncRNAs) in CRC.</p> Methods <p>mRNA profiles and clinical data from TCGA and GEO, microbiome data from TCMAand exosome-related genes from ExoCarta were analyzed. Consensus clustering, ER-lncRNA-related risk signature, and nomogram were developed.</p> Results <p>A total of 797 differentially expressed lncRNAs (DE-lncRNAs)were identified, with 490 ER-lncRNAs selected based on their correlation with exosome-related mRNAs. Consensus clustering stratified CRC samples into four molecular subtypes, with Cluster 2 exhibiting the most favorable prognosis and Cluster 1 the poorest. These subtypes showed significant differences in survival outcomes, immune cell infiltration, and therapeutic responses. Nine ER-lncRNAs were identified as prognostic biomarkers and used to develop a risk score model. Furthermore, a nomogram incorporating the risk score and clinical parameters was constructed to predict individual prognosis.</p> Conclusion <p>These findings highlight the clinical relevance of ER-lncRNAs as in CRC and underscores their potential as novel diagnostic and therapeutic targets.</p>

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Prognostic prediction and immune microenvironment analysis in colorectal cancer using exosome-related lncRNA signatures

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月10日

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  • Haohui Li,
  • Xiaoping Huang,
  • Zhenchao Luo,
  • Fangfang Zhou,
  • Yunyao Deng,
  • Canliang Tan,
  • Yiyi Jin,
  • Jian Yan,
  • Gang Xiao

摘要

Background

Exosomes play a crucial role in tumor microenvironment (TME) by mediating cell-cell communication, but their role in colorectal cancer (CRC) remains unclear. This study aimed to investigate exosome-related lncRNAs (ER-lncRNAs) in CRC.

Methods

mRNA profiles and clinical data from TCGA and GEO, microbiome data from TCMAand exosome-related genes from ExoCarta were analyzed. Consensus clustering, ER-lncRNA-related risk signature, and nomogram were developed.

Results

A total of 797 differentially expressed lncRNAs (DE-lncRNAs)were identified, with 490 ER-lncRNAs selected based on their correlation with exosome-related mRNAs. Consensus clustering stratified CRC samples into four molecular subtypes, with Cluster 2 exhibiting the most favorable prognosis and Cluster 1 the poorest. These subtypes showed significant differences in survival outcomes, immune cell infiltration, and therapeutic responses. Nine ER-lncRNAs were identified as prognostic biomarkers and used to develop a risk score model. Furthermore, a nomogram incorporating the risk score and clinical parameters was constructed to predict individual prognosis.

Conclusion

These findings highlight the clinical relevance of ER-lncRNAs as in CRC and underscores their potential as novel diagnostic and therapeutic targets.