Pre-treatment Prediction Model in Endometrioid Adenocarcinoma of the Uterus Using Somatic Mutations

Objectives: Surgical staging of endometrioid endometrial cancer (EEC) can be used to individualize adjuvant treatment, but in patients with low-grade, minimally invasive disease the benefits of comprehensive staging are unclear. Risk stratification intraoperatively may be limited by accessibility to reliable frozen section. To date there is no preoperative predictive model that accurately identifies women with high risk EEC. Our aim was to evaluate the performance of a prediction model to identify risk levels of EEC using somatic mutations.