As RNA-seq data was more suitable for biomarker identification, we analyzed RNA-seq data and clinical data from databases with bioinformatics tools to identify an immune-related prognostic biomarker including only one gene, CXCR3, and develop a predictive nomogram for only endometrial adenocarcinoma to predict the prognosis and help select the sensitive drugs. Here, CXCR3 is linked to endometrium adenocarcinoma.