AI-powered precision prediction of immunotherapy response in colorectal cancer
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-May-2025 11:08 ET (1-May-2025 15:08 GMT/UTC)
The immune-related genes in the colorectal cancer (CRC) microenvironment are closely associated with patient prognosis and the efficacy of immunotherapy. Professor Wang's group established a novel machine learning-based model to predict prognosis and immunotherapy responses in colorectal cancer (CRC) patients. The authors integrated clinical and transcriptomic data using machine learning techniques and established the Immune Response-related Risk Score (IRRS) model in CRC. The IRRS model is based on 13 core immune-related genes from machine learning techniques, and demonstrates strong associations with tumor progression, immune infiltration, and therapy response. The IRRS model outperforms several existing tools, offering a more accurate and clinically relevant approach to personalized cancer treatment.
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