Endometrial carcinoma is the most common gynecological malignancy in Western countries and is expected to increase in the following years because of the high index of obesity in the population. Recently, neural signaling has been recognized as part of the tumor microenvironment, playing an active role in tumor progression and invasion of different solid tumor types. The uterus stands out for the physiological plasticity of its peripheral nerves due to cyclic remodeling brought on by estrogen and progesterone hormones throughout the reproductive cycle. Therefore, a precise understanding of nerve-cancer crosstalk and the contribution of the organ-intrinsic neuroplasticity, mediated by estrogen and progesterone, of the uterine is urgently needed. The development of new and innovative medicines for patients with endometrial cancer would increase their quality of life and health. This review compiles information on the architecture and function of autonomous uterine neural innervations and the influence of hormone-dependent nerves in normal uterus and tumor progression. It also explores new therapeutic possibilities for endometrial cancer using these endocrine and neural advantages.

Masa anexial; Ecografía; Sistema de clasificaciónResumen Objetivo: Determinar el valor de la clasificación Gynecologic Imaging Reporting and Data System (GI-RADS) para discriminar las masas anexiales malignas de las benignas.Material y métodos: Estudio observacional retrospectivo de 87 pacientes operadas en nuestro hospital con un total de 98 masas anexiales. Se clasificaron mediante el sistema GI-RADS y se compararon con la histología definitiva.Resultados: GI-RADS 3: 75 casos. En todos los casos GI-RADS 3, el diagnóstico definitivo fue de benignidad. GI-RADS 4: 11 casos. En el 27,27% de los casos el diagnóstico definitivo fue de malignidad (un carcinoma y 2 tumores borderline), y en el 72,72% de los casos, de benignidad. GI-RADS 5: 12 casos. En el 91,66% de los casos el diagnóstico histológico informó de malignidad (10 carcinomas y un tumor borderline).Discusión: Nuestros resultados refuerzan la fiabilidad de la clasificación para catalogar correctamente las tumoraciones malignas en los grupos GI-RADS 4 y 5. ß 2014 SEGO. Publicado por Elsevier España, S.L.U. Todos los derechos reservados. KEYWORDS Adnexal mass; Sonography; Reporting system Results of the Gynecologic Imaging Reporting and Data System classification in adnexal massesAbstract Objective: To assess the clinical usefulness of the Gynecologic Imaging Reporting and Data System (GI-RADS) classification to distinguish between benign and malignant adnexal masses.Material and methods: A retrospective study was conducted in 98 adnexal masses in 87 patients who underwent surgery in our hospital. The masses were classified according to GI-RADS and the results were compared with their definitive histologic diagnosis.