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PDT-regulated immune gene prognostic model reveals tumor microenvironment in colorectal cancer liver metastases

  • 0Department of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Scientific Reports +

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April 16, 2025

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April 16, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies key genes for colorectal cancer liver metastasis (CLM) and develops a prognostic model. Photodynamic therapy (PDT) shows potential for treating CLM by targeting these genes and modulating the immune microenvironment.

Area Of Science

  • Oncology
  • Genomics
  • Immunotherapy

Background

  • Colorectal cancer liver metastasis (CLM) has a poor prognosis.
  • Identifying key genes and targeted interventions for CLM is crucial.

Purpose Of The Study

  • To identify key genes and construct an immune-related prognostic model for CLM.
  • To analyze the colorectal cancer immune microenvironment and assess therapeutic potential.

Main Methods

  • Weighted Gene Co-expression Network Analysis (WGCNA) to identify key gene modules.
  • Construction of a prognostic model using immune-regulating genes.
  • Analysis of methylation, mutation, Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), single-cell sequencing, and drug response data.
  • Experimental validation using photodynamic therapy (PDT).

Main Results

  • An immune-related prognostic model for CLM was constructed, including HSPA1A, ULBP2, RBP7, OXT, SLC11A1, INHBB, and ICOS.
  • The model predicts patient prognosis and response to chemotherapy (Oxaliplatin, Cisplatin, Irinotecan, 5-Fluorouracil).
  • The model correlates with an immunosuppressive microenvironment in CLM, with higher risk scores linked to weaker immune signaling.
  • PDT demonstrated cytotoxic effects on colorectal cancer cells, inhibited metastasis, modulated key gene expression (SLC11A1, ICOS, HSPA1A), and suppressed immune escape.

Conclusions

  • A novel immune-related prognostic model for CLM has been established.
  • This model aids in predicting prognosis, chemotherapy response, and immunotherapy potential.
  • PDT is a promising therapeutic strategy for CLM, targeting key genes and the tumor immune microenvironment.

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