Background: Despite recent advances in endometrial carcinoma (EC) molecular characterization, its prognostication remains challenging. We aimed to assess whether RNAseq could stratify EC patient prognosis beyond current classification systems.
Methods: A prognostic signature was identified using a LASSO-penalized Cox model trained on TCGA (N = 543 patients).