An integrated prediction model for recurrence in endometrioid endometrial cancer

Objectives: Endometrial cancer is the most common gynecologic malignancy in developed countries. Moreover, both incidence and mortality are rising in the United States. A major contributor to mortality is disease recurrence. Prior studies have suggested that certain clinical, immunologic, and radiologic features of tumors are associated with disease recurrence. However, a comprehensive method to assess a patient’s risk of recurrence has yet to be developed. Here, we have constructed an integrated prediction model composed of clinical information as well as molecular characteristics of endometrioid endometrial cancer (EEC) in order to predict the risk of recurrence.