To explore the prognostic value of cuproptosis-related genes in cervical cancer, the clinical data of cervical cancer patients were downloaded from the TCGA database and randomly divided into training group and validation group. Cupropto-sis-related genes were screened out by univariate Cox, LASSO-Cox and multivariate Cox analysis, and the risk model was con-structed. Overall survival (OS) of the two subgroups and the entire cohort was analyzed by Kaplan-Meier curve, and the prog-nostic value of the model was verified by ROC curve and PCA. Univariate and multivariate analyses were performed to evaluate the independent prognostic value of clinical features and risk scores. The biological functions and pathways between the two subgroups were analyzed by gene ontology (GO) and Kyoto encyclopedia enrichment of genes and genomes (KGEE), and the sensitivities of the two subgroups to drugs were further analyzed. Finally, prognostic models of five cuproptosis-related genes