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Tomanelli M, Florio T, Vargas GC, Pagano A, Modesto P. Domestic Animal Models of Central Nervous System Tumors: Focus on Meningiomas. Life (Basel) 2023; 13:2284. [PMID: 38137885 PMCID: PMC10744527 DOI: 10.3390/life13122284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/09/2023] [Indexed: 12/24/2023] Open
Abstract
Intracranial primary tumors (IPTs) are aggressive forms of malignancies that cause high mortality in both humans and domestic animals. Meningiomas are frequent adult IPTs in humans, dogs, and cats, and both benign and malignant forms cause a decrease in life quality and survival. Surgery is the primary therapeutic approach to treat meningiomas, but, in many cases, it is not resolutive. The chemotherapy and targeted therapy used to treat meningiomas also display low efficacy and many side effects. Therefore, it is essential to find novel pharmacological approaches to increase the spectrum of therapeutic options for meningiomas. This review analyzes the similarities between human and domestic animal (dogs and cats) meningiomas by evaluating the molecular and histological characteristics, diagnosis criteria, and treatment options and highlighting possible research areas to identify novel targets and pharmacological approaches, which are useful for the diagnosis and therapy of this neoplasia to be used in human and veterinary medicine.
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Affiliation(s)
- Michele Tomanelli
- Department of Experimental Medicine, University of Genova, 16132 Genova, Italy; (G.C.V.); (A.P.)
| | - Tullio Florio
- Pharmacology Section, Department of Internal Medicine (DIMI), University of Genova, 16126 Genova, Italy;
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Gabriela Coronel Vargas
- Department of Experimental Medicine, University of Genova, 16132 Genova, Italy; (G.C.V.); (A.P.)
| | - Aldo Pagano
- Department of Experimental Medicine, University of Genova, 16132 Genova, Italy; (G.C.V.); (A.P.)
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Paola Modesto
- National Reference Center for Veterinary and Comparative Oncology, Veterinary Medical Research Institute for Piemonte, Liguria and Valle d’Aosta, 10154 Torino, Italy
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da Silva EMG, dos Santos TR, Silva MJB. Identifying the Risk Factors for Malignant Mammary Tumors in Dogs: A Retrospective Study. Vet Sci 2023; 10:607. [PMID: 37888559 PMCID: PMC10610602 DOI: 10.3390/vetsci10100607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 10/28/2023] Open
Abstract
Mammary cancer is one of the main causes of death in female dogs worldwide, considering that many risk factors are involved in its development. This study aimed to elucidate the relationship between epidemiological and clinical risk factors with the histopathological diagnosis of malignant mammary tumors in dogs treated at the Veterinary Hospital of the Federal University of Uberlândia, which has one of the first veterinary oncology services in Brazil. A retrospective matched case-control study was conducted to identify risk factors for the development of malignant mammary tumors in dogs. The variables analyzed were size dog, breed, housing, type of diet, and body score. Potential risk factors were selected by univariate analysis (p < 0.25) before multivariate forward binary logistic regression. The most frequent benign tumor was the benign mixed tumor (35.2%), and the most frequent malignant tumor was the mixed carcinoma (27.4%). Size dog, breed, housing, and overweight are predictors of malignant mammary tumors in dogs. The highest risk of developing malignant mammary tumors is associated with large female dogs, Yorkshire or Poodle breeds, living outside the home, or being overweight.
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Affiliation(s)
- Elis Maressa Gonçalves da Silva
- Laboratory of Tumor Biomarkers and Osteoimmunology, Institute of Biomedical Sciences, Federal University of Uberlândia, Avenida Pará, 1720, Campus Umuarama, Uberlândia 38400-000, MG, Brazil
| | - Thaisa Reis dos Santos
- Instituto de Ciências Clínicas Veterinárias, Universidad Austral del Chile, Valdivia 5090000, Chile
| | - Marcelo José Barbosa Silva
- Laboratory of Tumor Biomarkers and Osteoimmunology, Institute of Biomedical Sciences, Federal University of Uberlândia, Avenida Pará, 1720, Campus Umuarama, Uberlândia 38400-000, MG, Brazil
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Freeman TC, Horsewell S, Patir A, Harling-Lee J, Regan T, Shih BB, Prendergast J, Hume DA, Angus T. Graphia: A platform for the graph-based visualisation and analysis of high dimensional data. PLoS Comput Biol 2022; 18:e1010310. [PMID: 35877685 PMCID: PMC9352203 DOI: 10.1371/journal.pcbi.1010310] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/04/2022] [Accepted: 06/16/2022] [Indexed: 01/04/2023] Open
Abstract
Graphia is an open-source platform created for the graph-based analysis of the huge amounts of quantitative and qualitative data currently being generated from the study of genomes, genes, proteins metabolites and cells. Core to Graphia’s functionality is support for the calculation of correlation matrices from any tabular matrix of continuous or discrete values, whereupon the software is designed to rapidly visualise the often very large graphs that result in 2D or 3D space. Following graph construction, an extensive range of measurement algorithms, routines for graph transformation, and options for the visualisation of node and edge attributes are available, for graph exploration and analysis. Combined, these provide a powerful solution for the interpretation of high-dimensional data from many sources, or data already in the form of a network or equivalent adjacency matrix. Several use cases of Graphia are described, to showcase its wide range of applications in the analysis biological data. Graphia runs on all major desktop operating systems, is extensible through the deployment of plugins and is freely available to download from https://graphia.app/. Graphia is a new visual analytics platform specifically created for the network-based analysis of large and complex data, such as that generated in huge amounts by modern biological analyses. It works in a data agnostic, hypothesis-free manner to generate correlation networks from any table of numerical or discrete values, thereafter providing a means to rapidly visualise the often very large networks that result, in either 2D or 3D space. Following network construction, the tool offers an extensive range of analysis algorithms, routines for network transformation, and options for the visualisation of metadata. This provides a powerful analysis solution for the exploration and interpretation of high-dimensional data from any source, as well as any data already defined as a network. Several use cases of Graphia are described to showcase its wide range of applications in the analysis biological data. Graphia is open source and free to all.
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Affiliation(s)
- Tom C. Freeman
- The Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
- Kajeka Limited, Roslin Innovation Centre, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
- * E-mail:
| | - Sebastian Horsewell
- Kajeka Limited, Roslin Innovation Centre, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
| | - Anirudh Patir
- The Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
| | - Josh Harling-Lee
- The Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
| | - Tim Regan
- The Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
| | - Barbara B. Shih
- The Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
| | - James Prendergast
- The Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
| | - David A. Hume
- Mater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Tim Angus
- Kajeka Limited, Roslin Innovation Centre, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom
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Hart BL, Hart LA, Thigpen AP, Willits NH. Assisting Decision-Making on Age of Neutering for Mixed Breed Dogs of Five Weight Categories: Associated Joint Disorders and Cancers. Front Vet Sci 2020; 7:472. [PMID: 32851043 PMCID: PMC7412743 DOI: 10.3389/fvets.2020.00472] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 06/25/2020] [Indexed: 01/09/2023] Open
Abstract
The early neutering of male and female dogs and its relationship to an increased risk of joint disorders and some cancers has recently become a concern, raising questions about the standard practice in the U.S. and much of Europe of neutering by 6 months of age. A noteworthy recent finding from this center is that there are major breed differences with small-dog breeds generally showing little vulnerability to neutering compared with breeds of larger body size. These findings on purebreds raise questions for dog owners and veterinarians about mixed-breed dogs. The purpose of this study was to examine a sample of mixed breed dogs of five weight categories using the same veterinary hospital database and diagnostic criteria for joint disorders and cancers as used in the newly published paper on 35 breeds and previous papers on the Golden Retriever, Labrador Retriever, and German Shepherd Dog. The weight categories were <10 kg (739 cases), 10–19 kg (546 cases), 20–29 kg (992 cases), 30–39 kg (604 cases), and over 40 kg (258 cases). Males and females were analyzed separately, as were various ages at neutering. The joint disorders examined were hip dysplasia, cranial cruciate ligament tear or rupture, and elbow dysplasia. The cancers were lymphoma, mast cell tumor, hemangiosarcoma, and osteosarcoma. There was no significant increased occurrence of one or more cancers, compared with intact dogs, in any weight category. However, in the three categories of dogs weighing 20 kg or more, neutering before 1 year generally was significantly associated with risks of one or more joint disorders above that of dogs left intact, commonly to 3 times the level of intact dogs, with sex differences in the degrees of joint disorders associated with neutering. For the dogs in the two weight categories <20 kg, no increased risks were found for joint disorders. This information can be useful to dog caregivers in deciding on the age at which to neuter specific dogs, and for veterinarians offering guidance to pet owners.
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Affiliation(s)
- Benjamin L Hart
- Department of Anatomy, Physiology and Cell Biology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Lynette A Hart
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Abigail P Thigpen
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Neil H Willits
- Department of Statistics, University of California, Davis, Davis, CA, United States
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Hart BL, Hart LA, Thigpen AP, Willits NH. Assisting Decision-Making on Age of Neutering for 35 Breeds of Dogs: Associated Joint Disorders, Cancers, and Urinary Incontinence. Front Vet Sci 2020; 7:388. [PMID: 32733924 PMCID: PMC7359819 DOI: 10.3389/fvets.2020.00388] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 06/01/2020] [Indexed: 12/16/2022] Open
Abstract
Neutering (including spaying) of male and female dogs in the first year after birth has become routine in the U.S. and much of Europe, but recent research reveals that for some dog breeds, neutering may be associated with increased risks of debilitating joint disorders and some cancers, complicating pet owners' decisions on neutering. The joint disorders include hip dysplasia, cranial cruciate ligament tear or rupture, and elbow dysplasia. The cancers include lymphoma, mast cell tumor, hemangiosarcoma, and osteosarcoma. In previous studies on the Golden Retriever, Labrador Retriever and German Shepherd Dog, neutering before a year of age was associated with increased risks of one or more joint disorders, 2-4 times that of intact dogs. The increase was particularly seen with dogs neutered by 6 months of age. In female Golden Retrievers, there was an increase in one or more of the cancers followed to about 2-4 times that of intact females with neutering at any age. The goal of the present study was to expand and use the same data collection and analyses to cover an additional 29 breeds, plus three varieties of Poodles. There were major breed differences in vulnerability to neutering, both with regard to joint disorders and cancers. In most cases, the caregiver can choose the age of neutering without increasing the risks of these joint disorders or cancers. Small-dog breeds seemed to have no increased risks of joint disorders associated with neutering, and in only two small breeds (Boston Terrier and Shih Tzu) was there a significant increase in cancers. To assist pet owners and veterinarians in deciding on the age of neutering a specific dog, guidelines that avoid increasing the risks of a dog acquiring these joint disorders or cancers are laid out for neutering ages on a breed-by-breed and sex basis.
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Affiliation(s)
- Benjamin L. Hart
- Department of Anatomy, Physiology and Cell Biology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Lynette A. Hart
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Abigail P. Thigpen
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Neil H. Willits
- Department of Statistics, University of California, Davis, Davis, CA, United States
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