Prediction of Prognosis, Tumor Microenvironment, and Drug Treatment of Colorectal Cancer Based on Retinoic Acid-Related Genes

Colorectal cancer (CRC) is a serious malignancy. Retinoic acid (RA) can inhibit cancer cell growth, promote cancer cell apoptosis, and hold significant importance for tumor prognosis. We utilized TCGA public data to screen RA-related genes linked with survival. Based on RA-related genes, the CRC prognostic model was generated by Cox regression analysis. Subsequently, immune infiltration analysis, functional enrichment analysis of differentially expressed genes (DEGs), tumor mutation analysis, and drug prediction were carried out based on the high-risk (HR) and low-risk (LR) groups identified in the prognostic model. We identified 10 RA-related genes associated with CRC. A prognostic model was constructed based on RA-related genes. CRC patients were divided into HR and LR groups. Immune infiltration analysis demonstrated that cells such as B cells, iDCs, and mast cells had higher infiltration levels in the LR group (P < 0.05). The results of DEG enrichment analysis of HR and LR groups uncovered that DEGs were mainly enriched in Alcoholism, regionalization, nucleosome, DNA packaging complex, and other biological processes. Drug sensitivity prediction results revealed that AZ628, CGP-082996, CKM, Dasatinib, GNF-2, Saracatinib, Sorafenib, WH-4-023, and WZ-1-84 were more sensitive for patients in the HR group. AKT inhibitor VIII, Gemcitabine, JW-7-52-1, Mitomycin, NSC-87877, PAC-1, Pyrimethamine, QS11, and Roscovitine were more sensitive for those in the LR group. Our project identified correlations between RA-related genes and CRC. The model genes identified are essential indicators for evaluating CRC prognosis and further treating CRC.