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September 10, 2025ImmunoTargets and TherapyOpen Access

Machine Learning-Derived Neddylation Gene Signature for Predicting Prognosis and Immunotherapy Benefits in Colorectal Cancer

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Authors

GYGuangda YangJXJieming XiaoHHHuixiang He

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Overview

This analysis shows that neddylation gene signature predicts survival in colorectal cancer patients, highlighting its role in immunotherapy benefits.

Key Points

  • Higher neddylation scores correlate with poorer survival in colorectal cancer, indicating a need for tailored treatments.
  • The neddylation-related gene signature demonstrated AUCs of 0.979, 0.989, and 0.996 for predicting 1-, 2-, and 3-year survival, respectively.
  • ScRNA-seq analysis showed that high neddylation scores linked to tumor growth involved malignant immune and stromal cells.
  • Cluster B was associated with more immunosuppressive cells and worse survival, pointing to challenges in immunotherapy responses.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68c24317b210217d647a58e6https://doi.org/10.2147/itt.s532644
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification of Novel Neddylation‐Related Molecular Subtypes in Non‐Small Cell Lung Cancer With Implications for Prognosis and the Immune Landscape2025
  2. 2Role of necroptosis-related genes in immune activity and prognosis of colorectal cancer2025 · 3 citations
  3. 3A novel lactylation-related gene signature deciphers the immunosuppressive microenvironment and stratifies precision therapy in colorectal cancer2026
  4. 4Role of NR1D1 in Colorectal Cancer: Impact on Prognosis, Immune Microenvironment, and Oncogenic Pathways2025
  5. 5Decoding colorectal cancer chemotherapy and immunotherapy resistance: revealing the role of NOL3 using single-cell RNA sequencing and machine learning2025