Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/32696 https://doi.org/Pinello, K.; Amorim, I.;Pires, I.; Canadas-Sousa, A.; Catarino,J.; Faísca, P.; Branco, S.; Peleteiro,M.C.; Silva, D.; Severo, M.; et al. Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats. Vet. Sci. 2022, 9, 535. https://doi.org/ 10.3390/vetsci9100535 https://doi.org/ 10.3390/vetsci9100535 |
Resumo: | 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%CI0.77: 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. |
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Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Catscancercatdogmalignancyveterinary oncologyAnalysis 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%CI0.77: 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.MDPI, Basel, Switzerland.2022-11-09T16:22:12Z2022-11-092022-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/32696https://doi.org/Pinello, K.; Amorim, I.;Pires, I.; Canadas-Sousa, A.; Catarino,J.; Faísca, P.; Branco, S.; Peleteiro,M.C.; Silva, D.; Severo, M.; et al. Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats. Vet. Sci. 2022, 9, 535. https://doi.org/ 10.3390/vetsci9100535http://hdl.handle.net/10174/32696https://doi.org/ 10.3390/vetsci9100535enghttps://www.mdpi.com/2306-7381/9/10/535ndndndndndndndndndndnd377Pinello, KatiaAmorim, IrinaPires, IsabelCanadas-Sousa, AnaCatarino, JoséFaísca, PedroBranco, SandraPeleteiro, Maria C.Silva, DanielaSevero, MiltonNiza-Ribeiro, Joãoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:33:27Zoai:dspace.uevora.pt:10174/32696Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:33.374229Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
title |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
spellingShingle |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats Pinello, Katia cancer cat dog malignancy veterinary oncology |
title_short |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
title_full |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
title_fullStr |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
title_full_unstemmed |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
title_sort |
Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats |
author |
Pinello, Katia |
author_facet |
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 |
author_role |
author |
author2 |
Amorim, Irina Pires, Isabel Canadas-Sousa, Ana Catarino, José Faísca, Pedro Branco, Sandra Peleteiro, Maria C. Silva, Daniela Severo, Milton Niza-Ribeiro, João |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
cancer cat dog malignancy veterinary oncology |
topic |
cancer cat dog malignancy veterinary oncology |
description |
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%CI0.77: 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-09T16:22:12Z 2022-11-09 2022-09-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/32696 https://doi.org/Pinello, K.; Amorim, I.;Pires, I.; Canadas-Sousa, A.; Catarino,J.; Faísca, P.; Branco, S.; Peleteiro,M.C.; Silva, D.; Severo, M.; et al. Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats. Vet. Sci. 2022, 9, 535. https://doi.org/ 10.3390/vetsci9100535 http://hdl.handle.net/10174/32696 https://doi.org/ 10.3390/vetsci9100535 |
url |
http://hdl.handle.net/10174/32696 https://doi.org/Pinello, K.; Amorim, I.;Pires, I.; Canadas-Sousa, A.; Catarino,J.; Faísca, P.; Branco, S.; Peleteiro,M.C.; Silva, D.; Severo, M.; et al. Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats. Vet. Sci. 2022, 9, 535. https://doi.org/ 10.3390/vetsci9100535 https://doi.org/ 10.3390/vetsci9100535 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.mdpi.com/2306-7381/9/10/535 nd nd nd nd nd nd nd nd nd nd nd 377 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI, Basel, Switzerland. |
publisher.none.fl_str_mv |
MDPI, Basel, Switzerland. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136697293733888 |