Construction of a colorectal cancer risk prediction model based on copper mechanism-related genes
Objective To explore the expression and mechanisms of copper metabolism-related genes in color-ectal cancer(CRC)and to develop a prognostic prediction model based on these genes,validating the model's predictive efficacy.This study aims to provide new strategies and insights for the treatment of CRC.Methods Transcriptome data and clinical information of CRC tissues and adjacent non-tumor tissues were obtained from The Cancer Genome Atlas(TCGA)database.Using R software,we compared changes in the expres-sion levels of copper metabolism-related genes between CRC and adjacent non-tumor tissues.A prognostic model was constructed using LASSO-Cox regression analysis to select molecules.Cox regression analysis was used to test whether the prognostic model was independent of other clinical features.Finally,the model was evaluated and validated using time-dependent receiver operating characteristic(ROC)analysis and other methods.Results Based on CRC samples from TCGA and 111 copper metabolism-related genes from the MSigDB database,we identified 80 differentially expressed copper metabolism-related genes.Using consen-sus clustering analysis based on these genes,CRC samples were divided into two groups.Molecules were screened and a prognostic model was established using LASSO-Cox regression analysis,incorporating 19 molecules.The prognostic feature(also known as risk score)was calculated using the expression levels of these molecules multiplied by the regression coefficients from multivariate Cox regression analysis to assess patient prognosis.Both univariate and multivariate Cox regression analysis indicated that the prognostic mod-el constructed in this study has significant prognostic value.Gene Ontology(GO)analysis and Kyoto Enc yclopedia of Genes and Genomes(KEGG)analysis revealed that the genes included in the model were mainly enriched in tumor cell morphology and tumor microenvironment formation.Single-gene clinical correlation a-nalysis of the prognostic model identified four genes as independent prognostic genes associated with clinical features.Conclusion This study successfully established a CRC prognostic model based on 19 copper metab-olism-related genes,providing valuable reference for prognostic research in CRC.
Colorectal cancerBioinformaticsCopper metabolismPredictive model
万方数据
维普
