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An Immune-Related Gene Prognostic Prediction Risk Model for Neoadjuvant Chemoradiotherapy in Rectal Cancer Using Artificial Intelligence

S. Pei,N. Liu,X. Luo, Y. L. Don, Z. Chen,D. Li,D. Miao,J. Duan,O. Y. Yan,L. Sheng,G. Ouyang,S. Wang,X. Wang

International journal of radiation oncology, biology, physics（2023）

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Abstract
The IRGPM, which was constructed based on the random forest and elastic net methods, is a promising method to distinguish DFS in LARC patients treated with a standard strategy. The low-risk group identified by IRGPM was characterized by the activation of adaptive immunity in tumor microenvironment.
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Key words
rectal cancer,neoadjuvant chemoradiotherapy,artificial intelligence,immune-related
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