Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway functional analysis between the high and low-risk groups were performed. The relationship between the risk score and age, grade, stage, tumor microenvironmental characteristics, and drug sensitivity was as well explored by correlation analyses.

The signature was validated by time-dependent ROC curve analysis and Kaplan-Meier analysis.

A lactate metabolism-related risk profile was constructed using multivariate Cox regression analysis. Univariate analysis and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression were performed to screen prognostic genes. Lactate metabolism-related genes (LMRGs) WERE from Molecular Signature Database v7.4 and then compared the candidate genes from TCGA to obtain final genes. RNA sequencing data and clinical information of EC were obtained from The Cancer Genome Atlas (TCGA) database. However, the potential role of lactate metabolism-related genes in endometrial cancer (EC) remains obscure. As an abundant metabolite, lactate has been found to play a critical role in cancer development and immunosuppression of TME. Metabolic reprogramming is one of hallmarks of cancer progression and is of great importance for the tumor microenvironment (TME).

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