CD3D has the Potential to be a Prognostic Factor for Endometrial Carcinoma and an Indicator of Tumor Immune Microenvironment Regulation: a Study based on TCGA Data Mining

Abstract

Accumulating evidence shows that tumor immune microenvironment infiltration plays a crucial role in the occurrence and development of endometrial carcinoma (EC). At present, studying the regulation mechanism of the immune microenvironment in EC remains a challenge. We calculated the amount of immune and stromal components and the proportion of tumor-infiltrating immune lymphocytes via ESTIMATE, single-sample gene enrichment analysis (ssGSEA), and CIBERSORT computational methods. Differentially expressed genes were analyzed by protein–protein interaction network construction and univariate survival analysis. CD3D expression was negatively correlated with clinicopathological features, such as age, histological type, clinical grade, and pathological stage, but positively correlated with the survival of patients with EC. Logistic regression analysis suggested that CD3D expression could be used as a biomarker to predict EC occurrence. Gene set enrichment analysis revealed that CD3D was upregulated in the immune effect pathway. Interestingly, CD3D was downregulated in the EC pathway. EC was divided into three immune cell subsets by ssGSEA. Correlation analysis between ssGSEA and CIBERSORT showed that the infiltration level of CD8 + T cells and plasma cells in tumor-infiltrating lymphocytes was lower than that in the high-immune-score group (Immunity_H). Moreover, CD3D expression in Immunity_H was low, and the prognosis was even worse. This study demonstrated that low CD3D expression is an index of poor prognosis in patients with EC. Levels of CD3D in tumor microenvironment (TME) might be a useful indicator for predicting the prognosis of patients with EC patients.