A novel algorithm to implement the molecular classification according to the new ESGO/ESTRO/ESP 2020 guidelines for endometrial cancer.
Ilaria BetellaCaterina FumagalliPaola Rafaniello RavieleGabriella SchivardiLuigi Antonio De VitisMaria Teresa AchilarreAlessia AloisiAnnalisa GarbiMatteo MaruccioVanna ZanagnoloGiovanni AlettiElena Guerini-RoccoAndrea MarianiAngelo MaggioniMassimo BarberisNicoletta ColomboFrancesco MultinuPublished in: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (2022)
Molecular categorization of endometrial cancer allows the reallocation of a considerable proportion of patients in a different risk class. Furthermore, the application of our algorithm enables a reduction in the number of required tests without affecting the risk classification.