Gastric cancer (GC) is one of the most common malignancies, but research on it is still limited. The role of immuntonic cell death (ICD)-associated long non-coding RNA (lncRNA) in GC is still unclear. Therefore, this experiment aimed to investigate the role of ICD-related lncRNA in GC, its prognostic value, and immunotherapeutic potential.
In this study, the relevant data were obtained from The Cancer Genome Atlas database. We used Pearson correlation coefficient analysis to obtain the ICD-related lncRNA, and randomly divided the data into the test and training groups in a 1:1 ratio. Then, we used Cox regression analysis and Lasso regression analysis to build a prognostic model. The receiver operating characteristic (ROC) curve was applied to analyze its accuracy, and immunocorrelation analysis was also performed for GC.
In this study, nine lncRNAs were selected to construct a prognostic feature, comprising AC005332.1, AC116312.1, LINC00705, CEP250-AS1, AC234775.2, LINC01150, FLJ16779, UBL7-AS1, and AC010457.1. The result of the ROC curve proved the reliability of its feature. The concurrently constructed features could be used as independent variables for a variety of clinical conditions. The analysis of the immune-related functions showed that there were differences in some immune functions between the high-risk and low-risk groups. We also found that the high-risk group was more sensitive to immunotherapy.
Based on the analysis of the ICD-related lncRNA in GC, our immune-related predictions and model could help predict the outcome of GC and could provide a reference for clinical practice.
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