Correlation between Colorectal Cancer and Cuproptosis-Related Genes
Objective In order to explore the biomarkers associated with the cuproptosis in colorectal cancer(CRC);to explore the targeting of cuproptosis to cancer cells,to develop new treatment strategies,which make the foundation for improving the prog-nosis of patients with CRC.Methods In this study,the LncRNA expression profile,clinical data,and mutation data of CRC pa-tients were downloaded from the Cancer Genome Atlas(TCGA)CRC database,and the LncRNA associated with cuproptosis were screened out using R4.1.1 software,the cuproptosis LncRNA associated with CRC prognosis were obtained by univariate Cox regression analysis,and the most significant LncRNA obtained from LASSO Cox regression and cross-validation and multi-variate Cox analysis were used to construct the optimal prognosis model.Based on the risk scores obtained,the included colorec-tal cancer patients were divided into high-risk and low-risk groups.Kaplan?Meier performed a difference analysis of survival(OS)and progression-free survival on the constructed model.At the same time,the ROC curve is established to verify the model and the clinical group verification is established.Differential genes were then analyzed for gene ontology(GO)and Kyoto Gene and Genome Encyclopedia(KEGG)enrichment.We calculated the correlation between TMB status and gene expression in pan-cancer data and screened for drugs sensitive to CRC treatment.Results Thirty-six LncRNA associated with cuproptosis prognosis were obtained,and 17 significantly related LncRNA were screened from the above 36 cuproptosis LncRNA with prog-nostic significance using LASSO Cox regression and cross-validation and multivariate Cox analysis.Then Kaplan-Meier surviv-al analysis,progression-free survival,and risk difference analysis were used to show that there were differences between high and low risk groups(P＜0.05),and the ROC curve showed that the area under the prognostic model curve was 0.749 in 1 year,0.705 in 2 years,and 0.710 in 3 years.The results of GO analysis showed that these differential genes were mainly enriched in cell divalent inorganic cation homology,etc.in biological processes,the cellular components were mainly enriched in the colla-gen-containing extracellular matrix,the molecular function was mainly enriched in the receptor ligand a and the like.KEGG suggests that differential genes are mainly enriched in cytokine-cytokine receptor interactions and phagosomes.There are differ-ences in survival analysis and drug sensitivity.Conclusions 17 prognostic models of genes associated with cuproptosis were con-structed Through biological methods,which may provide a reference for the individualized treatment and evaluation of colorectal cancer patients.
colorectal cancerTCGAcuproptosisprognostic modeltumor mutationpotential drug options
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