Abstract: Objective To evaluate the value of preoperative platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), advanced lung cancer inflammation index (ALI), prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) in predicting the prognosis of patients with endometrial cancer (EC). Methods We retrospectively analyzed the clinical and follow-up data of stage Ⅰ—Ⅱ EC patients who underwent radical surgical resection and diagnosed in the Affiliated Hospital of Xuzhou Medical University from January 2013 to January 2017. A receiver operating characteristic (ROC) curve was plotted to determine the optimal cut-off values for PLR, NLR, ALI, PNI and SII. Univariate and multivariate analyses was performed by Kaplan-Meier method and Cox regression model to analyze the prognostic factors of EC. Then, a nomogram prediction model was established. Results According to the ROC curve, the optimal cut-off value of PLR, NLR, ALI, PNI and SII for predicting survival was 131.8, 3.23, 38.46, 51.55 and 763.1, respectively. Cox regression multivariate analysis suggested that lymph node infiltration, the depth of myometrial infiltration, high Ki-67 expression, low PNI and low ALI were the independent risk factors for overall survival (OS). The C-index of the nomogram model for predicting the prognosis of patients with stage Ⅰ—Ⅱ endometrial cancer was 0.846. Conclusions Low ALI and PNI expression is the independent factor for the OS of EC patients. The nomogram model based on ALI and PNI may effectively predict the prognosis of EC patients with stage Ⅰ—Ⅱ.