Based on bioinformatics analysis, a prognosis-related prediction model was constructed to explore the relationshipbetween copper death-related LncRNA and gastric cancer (GC) in immunity and prognosis. RNA sequencing and clinical dataof gastric cancer patients were downloaded from the Cancer Genome Atlas (TCGA) database, copper death-related LncRNAwere screened based on co-expression analysis, and a copper death-related LncRNA risk prediction model closely related to theprognosis of gastric cancer patients was constructed by LASSO regression and multivariate Cox regression analysis, and the riskscores of all gastric cancer patient samples were calculated. The prognostic prediction performance of the model was confirmedby Kaplan-Meier survival analysis, regression analysis and ROC curve, and the correlation between risk score and pathway enrichmentanalysis, immune infiltrating cells, immune checkpoint genes, somatic gene mutations and anticancer drug sensitivitywas analyzed. The results of differential expression analysis showed that the expression of LncRNA HAGLR in tumor tissueswas upregulated. The expression of LncRNA HAGLR in cancer tissues and paracancerous tissues in 69 patients with radicalsurgery was detected by quantitative real-time PCR (qRT-PCR). The qRT-PCR results showed that the expression of HAGLRin gastric cancer tissues was upregulated compared with adjacent tissues, and was significantly correlated with tumor size, thedepth of invasion, clinical stage, degree of differentiation and lymph node metastasis (P<0.05). The prognostic model constructed from copper death-related LncRNA has high prognostic value and is significantly related to the heterogeneity of immunecell infiltration, and has certain clinical value in predicting the effect of immunotherapy and guiding the selection of chemotherapydrugs in patients.