Brambilla Eleonora, Govoni Veronica M, Cavalca Alexandre Matheus Baesso, Laufer-Amorim Renée, Fonseca-Alves Carlos Eduardo, Grieco Valeria
Department of Veterinary Medicine and Animal Science, University of Milan, Via dell' Università 6, 26900 Lodi, Italy.
Department of Veterinary Surgery and Animal Reproduction, Sao Paulo State University-UNESP, Botucatu 18618681, Brazil.
Animals (Basel). 2022 Jun 4;12(11):1455. doi: 10.3390/ani12111455.
The relationship between tumor morphology and clinical behavior is a key point in oncology. In this scenario, pathologists and clinicians play a pivotal role in the identification and testing of reliable grading systems based on standardized parameters to predict patient prognosis. Dogs with bladder urothelial carcinoma (BUC) were recently proposed as a "large animal" model for the study of human BUCs due to the similar morphology and metastasis locations. BUC grading systems are consolidated in human medicine, while in veterinary medicine, the BUC grading systems that have been proposed for canine tumors are not yet applied in routine diagnostics. These latter systems have been proposed, decade by decade, over the last thirty years, and the reason for their scarce application is mainly related to a lack of specific cutoff values and studies assessing their prognostic relevance. However, for any prognostic study, reliable grading is necessary. The aim of the present article was to give an overview of the BUC grading systems available in both human and veterinary pathology and provide an extensive description and a critical evaluation to support veterinary researchers in the choice of possible grading systems to apply in future studies on canine BUCs.
肿瘤形态与临床行为之间的关系是肿瘤学的关键要点。在这种情况下,病理学家和临床医生在基于标准化参数识别和测试可靠的分级系统以预测患者预后方面发挥着关键作用。由于形态和转移部位相似,患有膀胱尿路上皮癌(BUC)的犬最近被提议作为研究人类BUC的“大型动物”模型。BUC分级系统在人类医学中已得到巩固,而在兽医学中,为犬类肿瘤提出的BUC分级系统尚未应用于常规诊断。在过去三十年中,这些分级系统是逐十年提出的,其应用较少的原因主要与缺乏特定的临界值以及评估其预后相关性的研究有关。然而,对于任何预后研究而言,可靠的分级都是必要的。本文的目的是概述人类和兽医病理学中可用的BUC分级系统,并提供详尽的描述和批判性评估,以支持兽医研究人员在未来犬BUC研究中选择可能应用的分级系统。
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