双硫死亡相关lncRNA建立胰腺癌新的预后特征并预测免疫治疗反应OACSTPCD

Objective To screen long non-coding RNA(lncRNA)associated with disulfidptosis and investigate the immune landscape between lncRNA and pancreatic cancer,for effective guidance in clinical practice.Methods The normal and pancreatic cancer tissue samples were obtained from The Cancer Genome Atlas database,and the lncRNA associated with disulfidptosis was identified based on the Cox and LASSO regression analyses.A risk prognosis model was constructed,and its predictive performance was verified using comprehensive methods.An accurate nomogram was construted to predict the prognosis of patients with pancreatic cancer.The biological differences were analyzed via Gene Ontology,Gene Set Enrichment Analysis,and an immunoassay.The immunotherapy response was estimated using the tumor mutational burden(TMB)score.Results A total of 251 disulfidptosis-related lncRNAs were successfully identified,and three groups of lncRNAs were selected as the reference for the risk model.Pathway analysis showed that immune-related pathways were associated with disulfidptosis-related lncRNA risk models.The risk score was significantly correlated with immune cell infiltration and the ESTIMATE score.Patients with higher risk scores had elevated TMB,indicating that high-risk patients exhibited a better immune checkpoint blockade response.Conclusion The findings of this study contribute to a deeper understanding of disulfidpto-sis-related lncRNA and provide a potential therapeutic strategy for pancreatic cancer.