Canine Mammary Tumors: Comparison of Classification and Grading Methods in a Survival Study.


Journal

Veterinary pathology
ISSN: 1544-2217
Titre abrégé: Vet Pathol
Pays: United States
ID NLM: 0312020

Informations de publication

Date de publication:
Mar 2019
Historique:
pubmed: 2 11 2018
medline: 8 5 2019
entrez: 2 11 2018
Statut: ppublish

Résumé

Histopathology remains the cornerstone for diagnosing canine mammary tumors (CMTs). Recently, 2 classification systems (the World Health Organization [WHO] classification of 1999 and the proposal of 2011) and 2 grading methods based on the human Nottingham grade have been used by pathologists. Despite some evidence that the histological subtype and grade are prognostic factors, there is no comprehensive comparative study of these classification and grading systems in the same series of CMTs. In this study, the 2 classifications and the 2 grading methods were simultaneously applied to a cohort of 134 female dogs with CMTs. In 85 animals with malignant tumors, univariable and multivariable survival analyses were performed. Using the 2 systems, the proportion of benign (161/305, 53%) and malignant (144/305, 47%) tumors was similar and no significant differences existed in categorization of benign tumors. However, the 2011 classification subdivided malignant tumors in more categories-namely, those classified as complex, solid, and tubulopapillary carcinomas by the WHO system. Histological subtype according to both systems was significantly associated with survival. Carcinomas arising in benign tumors, complex carcinomas, and mixed carcinomas were associated with a better prognosis. In contrast, carcinosarcomas and comedocarcinomas had a high risk of tumor-related death. Slight differences existed between the 2 grading methods, and grade was related to survival only in univariable analysis. In this cohort, age, completeness of surgical margins, and 2 index formulas adapted from human breast cancer studies (including tumor size, grade, and vascular/lymph node invasion) were independent prognostic factors.

Identifiants

pubmed: 30381007
doi: 10.1177/0300985818806968
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

208-219

Auteurs

Ana Canadas (A)

1 Department of Pathology and Molecular Immunology, Instituto Ciências Biomédicas Abel Salazar, ICBAS, UPorto, University of Porto, Porto, Portugal.

Miguel França (M)

2 UPVet-Veterinary Hospital, Instituto Ciências Biomédicas Abel Salazar, ICBAS, UPorto, University of Porto, Porto, Portugal.

Cristina Pereira (C)

3 PetzAnimal Veterinary Clinic, Matosinhos, Portugal.

Raquel Vilaça (R)

4 Custóias Veterinary Clinic, Matosinhos, Portugal.

Hugo Vilhena (H)

5 Baixo Vouga Veterinary Hospital, Águeda, Portugal.
6 Department of Veterinary Sciences, Vasco da Gama Universitary School, Coimbra, Portugal.
7 Animal and Veterinary Research Center (CECAV), University of Trás-os-Montes e Alto Douro, Vila Real, Portugal.

Flora Tinoco (F)

8 Dra. Flora Tinoco Veterinary Clinic, Maia, Portugal.

Maria João Silva (MJ)

9 Matosinhos Veterinary Clinic, Matosinhos, Portugal.

Jorge Ribeiro (J)

2 UPVet-Veterinary Hospital, Instituto Ciências Biomédicas Abel Salazar, ICBAS, UPorto, University of Porto, Porto, Portugal.

Rui Medeiros (R)

10 Molecular Oncology and Viral Pathology Group, IPO-Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.

Pedro Oliveira (P)

11 Department of Populations Studies, Instituto Ciências Biomédicas Abel Salazar, ICBAS, UPorto, University of Porto, Porto, Portugal.

Patrícia Dias-Pereira (P)

1 Department of Pathology and Molecular Immunology, Instituto Ciências Biomédicas Abel Salazar, ICBAS, UPorto, University of Porto, Porto, Portugal.

Marta Santos (M)

12 Department of Microscopy, Instituto Ciências Biomédicas Abel Salazar, ICBAS, UPorto, University of Porto, Porto, Portugal.

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Classifications MeSH