Identification of telomere related gene subtypes,construction of prognostic model and analysis of immune cell infiltration in gastric cancer
Objective The aim of this study is to investigate the prognostic molecular features to predict the prognosis of gastric cancer(GC)and its relationship with immune cell infiltration based on comprehensive analysis of telomere-related gene(TRG)expression data.Methods The survival and prognostic correlation of GC telomere-related gene were analyzed by combining TCGA and GEO database.Two telomere related gene clusters were identified by unsupervised clustering,a prognostic model was constructed based on Lasso regression and multi-factor cox regression analysis,and a nomogram was constructed combined with clinical traits to predict the survival of patients.Meanwhile,risk difference analysis was performed,ROC curve was used to evaluate the prediction accuracy of the model,and immune cell infiltration analysis was performed on the samples.Results A prognostic model containing 12 genes,including HEYL,SPC25,SRPX2,PDK4,LOXL4,SOX15,SLC39A4,MAGEA3,SHISA2,DEFB1,SLC27A2 and C1QTNF5,was constructed to evaluate the prognosis of GC patients.An integrated risk profile was constructed to predict 1-year,3-year,and 5-year overall survival(OS)of GC patients.The survival rate in the high-risk group was significantly lower than that in the low-risk group(P＜0.05),and the proportion of immune cell subtypes in different risk groups was different.Conclusion This study identifies a TRG-derived molecular subtype in GC and develops a new prognostic scoring model,highlighting the potential value of TRG in GC prognosis and immunotherapy.
telomere-related geneGastric cancerImmune infiltrationPrognostic model
NETL
NSTL
万方数据
维普
