Autor según el artículo: Beatriz Pena, Karla; Riu, Francesc; Guma, Josep; Martinez-Madueno, Francisca; Miranda, Maria Jose; Vidal, Anna; Grifoll, Marc; Badia, Joan; Rodriguez-Balada, Marta; Parada, David;
Departamento: Medicina i Cirurgia
Autor/es de la URV: Gumà Padró, José / Miranda Lucas, Maria Jose / Parada Dominguez, David / RODRÍGUEZ BALADA, MARTA
Palabras clave: Subtypes Prognosis Muscle invasive Metastases Lymph node Immunohistochemical Identification Heterogeneity Classification Cancer Bladder Basal
Resumen: Muscle-invasive urothelial carcinoma represents 20% of newly diagnosed cases of bladder cancer, and most cases show aggressive biological behavior with a poor prognosis. It is necessary to identify biomarkers that can be used as prognostic and predictive factors in daily clinical practice. In our study, we analyzed different antibodies in selected cases of muscle-invasive urinary bladder carcinoma and lymph node metastasis to identify immunohistochemical types and their value as possible prognostic factors. A total of 38 patients were included, 87% men and 13% women, with a mean age of 67.8 years. The most frequent histopathological type was urothelial carcinoma. In the primary lesion, the mixed type was the most common. In unilateral metastasis, the mixed type was the most frequently found. In cases of primary lesions and bilateral metastasis, the luminal and mixed types were observed. The luminal subtype was the most stable in immunohistochemical expression across primary tumors and metastases. The basal type showed a better prognosis in terms of disease-free survival. In conclusion, immunohistochemical studies are useful in assessing primary and metastatic lesions in patients with urothelial carcinoma. Immunohistochemical classification can typify muscle-invasive urothelial carcinoma, and the immunophenotype seems to have prognostic implications.
Áreas temáticas: Medicine, general & internal Medicine (miscellaneous) Medicine (all)
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: david.parada@urv.cat mariajose.miranda@urv.cat jose.guma@urv.cat
Identificador del autor: 0000-0001-7541-9832
Fecha de alta del registro: 2024-09-07
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.mdpi.com/2077-0383/11/24/7430
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Clinical Medicine. 11 (24):
Referencia de l'ítem segons les normes APA: Beatriz Pena, Karla; Riu, Francesc; Guma, Josep; Martinez-Madueno, Francisca; Miranda, Maria Jose; Vidal, Anna; Grifoll, Marc; Badia, Joan; Rodriguez- (2022). Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study. Journal Of Clinical Medicine, 11(24), -. DOI: 10.3390/jcm11247430
DOI del artículo: 10.3390/jcm11247430
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications