Association of human papillomavirus (HPV), p16, p53 and p63 expression with non-bilharzia-associated squamous cell carcinoma of the bladder and algorithm construction for histopathological grading prediction

Association of human papillomavirus (HPV), p16, p53 and p63 expression with non-bilharzia-associated squamous cell carcinoma of the bladder and algorithm construction for histopathological grading prediction

ABSTRACT Objective To investigate the expression of human papillomavirus (HPV), p16, p53, and p63 in non-schistosomiasis-related squamous cell carcinoma of the bladder and to develop an accurate and automated tool to predict histological classification based on clinicopathological features. Metho...

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Bibliographic Details
Main Authors: Patrícia Rocha Martins, Tálita Pollyanna Moreira dos Santos, Letícia Mattos Menezes, Astaruth Guimarães Froede, Matheus de Souza Gomes, Lucas Nogueira, Letícia da Conceição Braga, Laurence Rodrigues do Amaral, Paulo Guilherme de Oliveira Salles
Format: Article
Language:English
Published: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2023-05-01
Series:Einstein (São Paulo)
Subjects:
Algorithms
Urinary bladder neoplasms
Human papillomavirus 16
Human papillomavirus type 53
Human papillomavirus 63
Papillomaviridae
Papillomavirus infections
Machine learning
Carcinoma, squamous cell
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082023000100211&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082023000100211&lng=en&tlng=en

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