Bold claim, big impact: a new open-source treasure promises to reshape how we understand cancer risk in our pets. A collaboration between the University of Liverpool’s Veterinary Data Science Group and the University of Las Palmas de Gran Canaria has launched what they say is the world’s largest canine and feline tumor database, boasting over one million records. This isn’t just a data dump; it’s a unified, research-ready resource meant to illuminate the factors that influence cancer risk in pets.
The project brings together experts in veterinary pathology, epidemiology, data science, and clinical practice. By partnering with veterinary diagnostic laboratories and applying advanced data extraction and standardization techniques, the team has stitched together disparate diagnostic information into a single, cohesive registry.
Thanks to its scale, the registry makes it possible to study rare cancers and less common breeds in ways that weren’t feasible before. Researchers around the globe can now access rich, standardized data to uncover patterns that were hidden behind fragmented reporting.
David Killick, Professor of Veterinary Oncology at the University of Liverpool, notes that understanding cancer risks is important for pets just as it is for people. He explains that most cancer diagnosis data for dogs and cats sit in private labs, making research access difficult. Through SAVSNET (the Small Animal Veterinary Surveillance Network), the team set out to aggregate these data into a single, usable database that researchers can work with.
Killick adds that the tumor registry marks a major advance in understanding cancer risk in pets. Early analyses already prompt questions about how neutering practices might influence certain cancer risks and how breed-specific factors play into tumor types. The sheer volume of data also opens up opportunities to explore the genetic underpinnings of these cancers.
Jose Rodríguez Torres, PhD, Veterinary Data Scientist at the University of Las Palmas de Gran Canaria, emphasizes that while cancer analysis is well-established in human medicine, veterinary work has lagged due to fragmented data. With Representation from more than 200 breeds and over 150 tumor types, the dataset now enables researchers worldwide to examine countless teacher-breed cancer combinations to gauge risk more comprehensively.
Dr. Francesco Cian of BattLab, a participating laboratory and co-author, describes the collaboration as a pleasure and a new horizon for their data. Traditionally, results support veterinarians and owners in care decisions. In this project, anonymized results were compiled to generate new insights about tumor risk across a broad spectrum of cancers in individual pets.
The team plans to broaden the registry by enlisting more labs and continuing real-time data collection. As the registry grows, analyses can be refined—for example, by better contrasting dogs with tumors against the broader UK dog population.
A public summary of the data has been made available to help veterinarians, pet owners, and researchers grasp tumor risk more clearly. You can explore it here: https://public.tableau.com/app/profile/savsnet.at.liverpool/viz/SAVSNETtumourregistry/frontpage
A related study focusing on dogs appears in Veterinary and Comparative Oncology: 'Epidemiology of Four Major Canine Tumours in the UK: Insights From a National Pathology Registry With Comparative Oncology Perspectives' (DOI: 10.1111/vco.70056).
Funding for the project comes from Petplan Charitable Trust.
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