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September 16, 2025

The construction of a prognostic nomogram model for colorectal cancer and the prediction of immune characteristics and immune treatment responses based on the bioinformatics analysis of soluble mediator-related genes.

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Authors

LYLeilei YangXYXiuying YangCFChengfeng Fang

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Overview

Prognostic model predicts immune characteristics and responses in colorectal cancer, highlighting soluble mediators' role.

Key Points

  • The prognostic model effectively predicts outcomes for colorectal cancer patients based on immune characteristics, guiding treatment.
  • Using bioinformatics, soluble mediator-related genes were identified, leading to the creation of a prognostic model categorized by risk groups.
  • Gene expression analysis showed higher immune cell scores in the low-risk group, indicating better immune responses and treatment outcomes.
  • Identified potential treatments for high-risk patients include PF-4708671 and PI-103, suggesting targeted therapy options based on the model.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68c93fe601120bef803bae76https://doi.org/10.1080/21645515.2025.2555699
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  1. 1Development of a prognostic risk model for colorectal cancer based on microsatellite stability-associated genes2025 · 1 citations
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  3. 3Integrative machine learning models reveal immune and metabolic signatures predictive of colorectal cancer prognosis2026
  4. 4Integrated single-cell and bulk RNA-seq for constructing a prognostic risk model of immune-related genes in colorectal cancer2024
  5. 5Construction of Colorectal Cancer Prognostic Model Utilizing Mitochondrial Energy Metabolism-Related Genes2024