Your browser doesn't support javascript.
loading
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats.
Pinello, Katia; Amorim, Irina; Pires, Isabel; Canadas-Sousa, Ana; Catarino, José; Faísca, Pedro; Branco, Sandra; Peleteiro, Maria C; Silva, Daniela; Severo, Milton; Niza-Ribeiro, João.
Afiliación
  • Pinello K; Vet-OncoNet, Departamento de Estudo de Populações, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.
  • Amorim I; EPIUnit, Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
  • Pires I; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), 4050-600 Porto, Portugal.
  • Canadas-Sousa A; Departamento de Patologia e Imunologia Molecular, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.
  • Catarino J; Departamento de Ciências Veterinárias, Universidade Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal.
  • Faísca P; CECAV, Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.
  • Branco S; Departamento de Patologia e Imunologia Molecular, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.
  • Peleteiro MC; DNAtech, Laboratório de Análises Clínicas Veterinárias, 1649-038 Lisboa, Portugal.
  • Silva D; Faculdade de Medicina Veterinária, Universidade Lusófona de Humanidades e Tecnologia, 1749-024 Lisboa, Portugal.
  • Severo M; DNAtech, Laboratório de Análises Clínicas Veterinárias, 1649-038 Lisboa, Portugal.
  • Niza-Ribeiro J; Faculdade de Medicina Veterinária, Universidade Lusófona de Humanidades e Tecnologia, 1749-024 Lisboa, Portugal.
Vet Sci ; 9(10)2022 Sep 28.
Article en En | MEDLINE | ID: mdl-36288148
ABSTRACT
Analysis of canine and feline tumor malignancy data can help clinicians identify high-risk patients and make more accurate decisions. Based on a sample of 16,272 cancer records, including 3266 cats and 13,006 dogs, collected from January 2019 to December 2021 in the Vet-OncoNet Network database, this study aimed to compare the tumor malignancy profile between cats and dogs, considering animal-related factors (sex, age, and breed), topography, and geographic location using a mixed-effects logistic regression model. Cats had a higher proportion of malignant tumors (78.7%) than dogs (46.2%), and the malignancy profile was very different regarding tumors' topographies. The mean age of malignant tumors occurred eight months later than benign ones (9.1, SD = 3.4; 9.8, SD = 3.2), in general. Species (OR = 3.96, 95%CI 3.57 4.39) and topography (MOR = 4.10) were the two most important determinants of malignancy risk. Female dogs had a higher risk than male dogs (OR = 1.19, 95%CI 1.08 1.31), which does not appear to be the case in cats (OR = 0.98, 95%CI 0.77 1.23). Breed contributed significantly to differences in malignancy risk in dogs (MOR = 1.56), particularly in pit bulls and boxers. District of residence was not so relevant in predicting malignancy risk (MOR = 1.14). In both species, the risk of malignancy increased by approximately 20% every three years. It could be hypothesized that species differences in genetic structure may contribute to tumor malignancy.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Vet Sci Año: 2022 Tipo del documento: Article País de afiliación: Portugal

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Vet Sci Año: 2022 Tipo del documento: Article País de afiliación: Portugal