Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/151479
Author(s): Pinello, K
Amorim, I
Pires, I
Canadas Sousa, A
Catarino, J
Faisca, P
Branco, S
Peleteiro, MC
Silva, D
Severo, M
Niza Ribeiro, J
Title: Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats
Publisher: MDPI
Issue Date: 2022
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. © 2022 by the authors.
Subject: cancer; cat; dog; malignancy; veterinary oncology
DOI: 10.3390/vetsci9100535
URI: https://hdl.handle.net/10216/151479
Source: Vet Sci. 2022 Sep 28;9(10):535. doi: 10.3390/vetsci9100535.
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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