L1CAM and endometrial cancer: Furthermore, in absence of a specific molecular profile, the identification of L1CAM can be a useful predictor of early relapse in high risk endometrial cancer type [40], and, similarly, the use of machine learning algorithms, using multiple classical parameters, can help to build a prognostic model [41].