〔Abstract〕 Objective To construct a prognostic model for gastric cancer using NETosis-related long non-coding RNA(LncRNA) and to investigate their expression and functional roles in gastric cancer progression. Methods Data from gastric cancer patients were obtained from the TCGA database, and 85 NETosis-related genes were identified from the GeneCards database. NETosis-associated LncRNAs were screened using Pearson correlation analysis. A LncRNA-based prognostic model was constructed and evaluated through survival analysis, ROC curves, C-index, and nomogram analysis. Differences in gene set enrichment between high-and low-risk groups were further explored. Additionally, RT-qPCR was performed to validate LncRNA expression in gastric cancer patients, and the CCLE database was utilized to investigate LncRNA expression across various tumor cell lines. Results A risk prognostic model for gastric cancer was constructed using 12 LncRNAs. Based on risk scores, samples were stratified into high-and low-risk groups across multiple datasets. Validation results demonstrated significantly worse survival outcomes in the high-risk group compared to the low-risk group, with excellent predictive performance of the model(AUC=0.758, 95%CI: 0.688-0.828). Gene set enrichment analysis revealed that the high-risk group was enriched in gene sets strongly associated with inflammatory progression, whereas the low-risk group showed enrichment in gene sets related to normal DNA function. RT-qPCR confirmed differential expression of LncRNAs between tumor and paired normal gastric tissues(P