Por favor, use este identificador para citar o enlazar este ítem: DOI: 10.14670/HH-11-822

Título: Grading lung neuroendocrine tumors: Controversies in search of a solution
Fecha de publicación: 2017
Editorial: Universidad de Murcia. Departamento de Biología Celular e Histología
Cita bibliográfica: Histology and Histopathology, Vol.32, nº3, (2017)
ISSN: 1699-5848
0213-3911
Materias relacionadas: CDU::6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología
Palabras clave: Neuroendocrine
Tumor
Lung
Grading
Ki-67
Gene
Magnetic resonance
Resumen: Background. Pathological grading of tumors is a way to measure biological aggressiveness. In lung neuroendocrine tumors (NET), grading is tautologically included into the current 2015 WHO histologic classification. Little is known, however, about alternative grading systems in lung NET. Methods. Through an extensive search of the English literature on lung NET (updated to April 2016), the following key questions were addressed: a) current concepts of grading; b) clinicians’ requests for grading; c) functional parameters for grading; d) Ki-67 labeling index (LI) for grading; e) towards an effective pathology grading system. Results. There is some room for inconsistency in the histologic classification of lung NET, likely due to the varying attribution of defining criteria. Innovative diffusion-weighted imaging upon magnetic resonance or molecular analysis could help separate indolent from aggressive lung NET, thus integrating a grading approach other than histology. Troubles in the clinical handling of metastatic or individual tumors when relying on morphology alone support the development of a lungspecific grading system for the more accurate prediction of prognosis and planning therapy in individual patients. To integrate the 2015 WHO classification using innovative grading based on Ki-67 LI, mitotic count and necrosis, a new proposal is emerging where three categories of lung NET are identified, namely Lu-NET G1, Lu-NET G2 and Lu-NET G3, which would allow tumors with similar behavior and therapy to be better handled according to their own biological potential. Conclusion. A new formulation of lung NET grading could have clinical relevance for the individual handling of patients. Key words:
Autor/es principal/es: Pelosi, Giuseppe
Pattini, Linda
Morana, Giovanni
Fabbri, Alessandra
Faccinetto, Alex
Fazio, Nicola
Valeri, Barbara
Sonzogni, Angelica
URI: http://hdl.handle.net/10201/117046
DOI: DOI: 10.14670/HH-11-822
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 19
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Aparece en las colecciones:Vol.32, nº3 (2017)

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