ArticleTranslational cancer research2025
Constructing and validating a novel prognostic risk score model for rectal cancer based on four immune-related genes.
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Immunotherapy is playing an increasing role in the treatment of various cancers. However, its application in rectal cancer is very limited as only microsatellite-unstable bowel cancers with defective mismatch repair are found to benefit. The majority of rectal cancers belong to the microsatellite-stable phenotype. Therefore, the aim of this study is to explore immune-related genes within the tumor microenvironment of rectal cancer, with the objective of discovering novel biomarkers and therapeutic targets for rectal cancer, and to establish a new prognostic prediction model for rectal cancer based on these immune-related genes. Methods: The data in The Cancer Genome Atlas (TCGA) database were processed using the Estimation of Stromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm to obtain differently expressed genes (DEGs). Then the DEGs were analyzed by Gene Ontology (GO), Kyoto Encyclopedia of Gene and Genomes (KEGG), Reactome function enrichment analysis, and protein-protein interaction (PPI) analysis to screen the core genes, which were utilized to compute the risk scores of individual patients. Finally, combining risk scores and clinical characteristics, a new prognostic prediction model was established by univariate and multivariate Cox analyses, and the prognostic model was validated by the Gene Expression Omnibus (GEO) database. Results: The study finally identified four core genes ( Conclusions: In patients with rectal cancer,
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