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Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study

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 st...

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Autores principales: Peña, Karla Beatríz, Riu, Francesc, Gumà, Josep, Martínez-Madueño, Francisca, Miranda, Maria José, Vidal, Anna, Grifoll, Marc, Badia, Joan, Rodriguez-Balada, Marta, Parada, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788404/
https://www.ncbi.nlm.nih.gov/pubmed/36556046
http://dx.doi.org/10.3390/jcm11247430
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author Peña, Karla Beatríz
Riu, Francesc
Gumà, Josep
Martínez-Madueño, Francisca
Miranda, Maria José
Vidal, Anna
Grifoll, Marc
Badia, Joan
Rodriguez-Balada, Marta
Parada, David
author_facet Peña, Karla Beatríz
Riu, Francesc
Gumà, Josep
Martínez-Madueño, Francisca
Miranda, Maria José
Vidal, Anna
Grifoll, Marc
Badia, Joan
Rodriguez-Balada, Marta
Parada, David
author_sort Peña, Karla Beatríz
collection PubMed
description 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.
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spelling pubmed-97884042022-12-24 Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study Peña, Karla Beatríz Riu, Francesc Gumà, Josep Martínez-Madueño, Francisca Miranda, Maria José Vidal, Anna Grifoll, Marc Badia, Joan Rodriguez-Balada, Marta Parada, David J Clin Med Article 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. MDPI 2022-12-15 /pmc/articles/PMC9788404/ /pubmed/36556046 http://dx.doi.org/10.3390/jcm11247430 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peña, Karla Beatríz
Riu, Francesc
Gumà, Josep
Martínez-Madueño, Francisca
Miranda, Maria José
Vidal, Anna
Grifoll, Marc
Badia, Joan
Rodriguez-Balada, Marta
Parada, David
Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study
title Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study
title_full Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study
title_fullStr Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study
title_full_unstemmed Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study
title_short Immunohistochemical Algorithm for the Classification of Muscle-Invasive Urinary Bladder Carcinoma with Lymph Node Metastasis: An Institutional Study
title_sort immunohistochemical algorithm for the classification of muscle-invasive urinary bladder carcinoma with lymph node metastasis: an institutional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788404/
https://www.ncbi.nlm.nih.gov/pubmed/36556046
http://dx.doi.org/10.3390/jcm11247430
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