Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Más filtros

Bases de datos
Tipo del documento
Asunto de la revista
País de afiliación
Intervalo de año de publicación
1.
Mod Pathol ; 31(12): 1770-1786, 2018 12.
Artículo en Inglés | MEDLINE | ID: mdl-30140036

RESUMEN

The classification of neuroendocrine neoplasms (NENs) differs between organ systems and currently causes considerable confusion. A uniform classification framework for NENs at any anatomical location may reduce inconsistencies and contradictions among the various systems currently in use. The classification suggested here is intended to allow pathologists and clinicians to manage their patients with NENs consistently, while acknowledging organ-specific differences in classification criteria, tumor biology, and prognostic factors. The classification suggested is based on a consensus conference held at the International Agency for Research on Cancer (IARC) in November 2017 and subsequent discussion with additional experts. The key feature of the new classification is a distinction between differentiated neuroendocrine tumors (NETs), also designated carcinoid tumors in some systems, and poorly differentiated NECs, as they both share common expression of neuroendocrine markers. This dichotomous morphological subdivision into NETs and NECs is supported by genetic evidence at specific anatomic sites as well as clinical, epidemiologic, histologic, and prognostic differences. In many organ systems, NETs are graded as G1, G2, or G3 based on mitotic count and/or Ki-67 labeling index, and/or the presence of necrosis; NECs are considered high grade by definition. We believe this conceptual approach can form the basis for the next generation of NEN classifications and will allow more consistent taxonomy to understand how neoplasms from different organ systems inter-relate clinically and genetically.


Asunto(s)
Tumores Neuroendocrinos/clasificación , Humanos , Agencias Internacionales , Organización Mundial de la Salud
2.
Rev Med Suisse ; 3(130): 2382-4, 2386-8, 2007 Oct 24.
Artículo en Francés | MEDLINE | ID: mdl-18062501

RESUMEN

Today, breast cancer prognosis and (neo-) adjuvant treatment selection are based on clinical as well as on histological and immunohistochemical data. Will genetic expression profiles have a better predictive value? Ongoing studies will provide the answer.


Asunto(s)
Neoplasias de la Mama/patología , Neoplasias de la Mama/terapia , Neoplasias de la Mama/genética , Femenino , Humanos , Medición de Riesgo
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA