Abstract: Objective To establish a prognostic model of immune-related genes in endometrial cancer to provide the reference for the immunotherapy of endometrial cancer.  Methods Endometrial cancer transcriptome data and clinical information were downloaded from TCGA database, and the immune-related genes were acquired from IMMPORT database. Subsequently, the differential analysis and functional enrichment analysis were used to evaluate the function of differential expression immune-related genes. The prognostic assessment models was constructed in training sets using univariable, multivariable Cox regression and least absolute shrinkage and selection operator (LASSO). The receiver operating characteristic (ROC) curve, calibration plot, decision curve analysis (DCA) curve were used to evaluate the performance of models. Results The immune-related gene expression profiles for 504 cases of endometrial cancer and 22 cases of adjacent tumor tissues were analyzed, and 394 differentially expressed genes were obtained, including 111 up-regulated genes and 283 down-regulated genes. Functional enrichment analysis showed that differential genes were mainly involved in biological processes such as immune response, signal transduction and immune response. A total of 31 prognosis-related genes were identified in the training cohort by the univariable Cox regression analysis. The predictive model of 6 immune-related genes (ANGPT4, HGF, PLA2G2A, SPAG11B, SST, VGF) were constructed by LASSO-Cox regression. The area under the ROC curve of the model in the training cohort were 0.986, 0.846 and 0.849 at 1, 3 and 5 years, respectively; the area under the curve of the model at 1, 3 and 5 years were 0.667, 0.629 and 0.693, respectively, in the validation cohort; and the area under the curve of the model at 1, 3 and 5 years were 0.798, 0.735 and 0.770, respectively, in total cohort. Conclusions The prognostic model is developed based on 6 immune-related genes, and can be effectively used to predict the prognosis of patients with endometrial cancer, providing a reference for immunotherapy.

Key words: Endometrial carcer, Immune-related genes, Prognostic model, TCGA