Author, as appears in the article.: Beatriz Pena, Karla; Riu, Francesc; Guma, Josep; Martinez-Madueno, Francisca; Miranda, Maria Jose; Vidal, Anna; Grifoll, Marc; Badia, Joan; Rodriguez-Balada, Marta; Parada, David;
Department: Medicina i Cirurgia
URV's Author/s: Gumà Padró, José / Miranda Lucas, Maria Jose / Parada Dominguez, David / RODRÍGUEZ BALADA, MARTA
Keywords: Subtypes Prognosis Muscle invasive Metastases Lymph node Immunohistochemical Identification Heterogeneity Classification Cancer Bladder Basal
Abstract: 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.
Thematic Areas: Medicine, general & internal Medicine (miscellaneous) Medicine (all)
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: david.parada@urv.cat mariajose.miranda@urv.cat jose.guma@urv.cat
Author identifier: 0000-0001-7541-9832
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2077-0383/11/24/7430
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Journal Of Clinical Medicine. 11 (24):
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
Article's DOI: 10.3390/jcm11247430
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications