Researchers build largest dog and cat tumor database
CURRENT BRIEF VERSION: Researchers at the University of Liverpool and the University of Las Palmas de Gran Canaria say they’ve built the world’s largest open-source database of canine and feline tumors, with more than 1 million records drawn from pathology data. The new registry expands earlier SAVSNET tumor-registry work that published just over 100,000 UK dog and cat tumors in 2021, and it’s already supporting new analyses, including a 2026 Veterinary and Comparative Oncology paper on four major canine tumors in the UK. That broader registry effort also lands as feline cancer genomics is accelerating: a separate 2026 Science study profiled 493 tumor-normal pairs across 13 feline tumor types from cats in five countries, creating the first large-scale feline oncogenome resource and finding multiple shared cancer drivers with people, including TP53, FBXW7, CTNNB1, PTEN, and TRAF3. In the UK dog study, investigators analyzed a subset of 130,998 histologically confirmed tumors from more than 1.1 million canine tumor records collected between 2010 and 2023, identifying breed-, age-, sex-, and neuter-related patterns in mast cell tumors, melanoma, osteosarcoma, and hemangiosarcoma. (liverpool.ac.uk)
Why it matters: For veterinary professionals, the value is scale. Large registries can make rare tumors, uncommon breeds, and demographic risk patterns visible in ways smaller datasets can’t, and they may help sharpen screening, client counseling, referral decisions, and future comparative oncology research. The feline genomics work strengthens that comparative case: researchers reported that 14% of feline tumors carried an oncogenic or likely actionable alteration, mammary carcinomas showed strong parallels to human breast cancer, and some FBXW7-mutant feline mammary tumors appeared more sensitive to certain chemotherapy drugs in lab testing. That said, the underlying SAVSNET resource is pathology-based rather than population-based, which means it’s powerful for surveillance and hypothesis generation but has limits for estimating true incidence in the wider pet population. (phys.org)
What to watch: Watch for more tumor-specific papers from the registry, especially work on feline cancers, breed risk, and whether the dataset can be linked more directly to genomics and clinical outcomes. The obvious next step is connecting large pathology registries with emerging feline genomic resources, particularly for common cancers such as mammary carcinoma, lymphoma, lung adenocarcinoma, and cutaneous squamous cell carcinoma. (liverpool.ac.uk)