Abstract
Vet-OncoNet is a replicable tripartite animal cancer database with the scientific and academic purposes of collecting data and producing evidence-based knowledge for cancer science in general. Inspired by the One Health vision, Vet-OncoNet uses business intelligence tools to optimize the process of capturing, treating, and reporting animal cancer data to a national level in three interfaces: ACR (animal cancer registry, pathology-based), COR (clinical oncology registry, vet practice-based) and RFR (risk factor registry, owner-based). The first results show that skin and mammary gland are by far the most affected systems. Mast cell tumors and complex adenoma of the mammary gland are the most frequent histologic type in dogs, while in cats they are squamous cell carcinomas, tubular adenocarcinoma of the mammary gland and lymphomas. Regarding COR, it provides valuable information on the landscape of veterinary oncology practices, therapeutics options, outcomes and owners’ drivers’ adherence towards therapies, which range from 30% up to 80% upon vet practices. Furthermore, being aware of the role of animals within the family and as possible sentinels of environmental risks to cancer in humans, the network built an interface (Pet-OncoNet) dedicated to owners and a database (RFR) that receives information regarding pets and owners’ daily habits.
Highlights
The topic of oncology in companion animals is of growing clinical and epidemiological importance [1], with over 4.2 million dogs in the USA [2] and 412 out of 100,000 cats being diagnosed with cancer annually [3]
This classification system is being developed by an international group—the Global Initiative on Veterinary Cancer Surveillance (GIVCS) [24], of which Vet-OncoNet members are included
Vet-OncoNet has completed its first year of data recording in 2020
Summary
The topic of oncology in companion animals is of growing clinical and epidemiological importance [1], with over 4.2 million dogs (approx. 5300/100,000 population rate) in the USA [2] and 412 out of 100,000 cats being diagnosed with cancer annually [3]. Common cancers in companion animals have been increasingly proposed as reliable and clinically relevant models of human disease [1,2] and the results acquired from companion animals with cancer would enable the scientific community to improve prevention strategies, diagnostic approaches, as well as the effectiveness and safety of new cancer therapy options for humans and for cancer-affected animal patients [1,4,5]. 2022, 9, 72 approaches, as well as the effectiveness and safety of new cancer therapy options for humans and for cancer-affected animal patients [1,4,5]. AAccccuurraatteeccaanncceerrssuurrvveeiillllaannccee ddaattaa aarreeppaarrttooffththeefofouunnddaatitoionnnneeededededtotommakaekaepapprporporpiarti-e actoenccolunscilounssioanbsoaubtotuhtisthbius rbduerndeonf ocafnccaenrc, etro, tuonudnedrsetrasntdantdhethreolreoloefocfocmompapnaionnionanaimniamlsalass assesnetinnteinlselosfohfuhmuamnannenoepolpasltaisctidcisdeiaseseasse[s6,[76,–8,99]],,ttoosseettccaanncceerrsstrtraateteggiieessfoforrpprerevveennttioionnaanndd ccoonnttrrooll,,aanndd ttoo ddeessiiggnn aannaallyytticicsstutuddieiesstotoididenetniftyifycacuasuaslaalsasosscioactiiaotnisonbsetbweetweneeexnpeoxspuoressuarensd acnadnccearnrcieskr r[i1s0k].[1T0h]e. DDeecceemmbbeerr 22001199,, aannininititiiaattiivvee hheellddbbyyICICBBAASSininpapratrntneersrshhipipwwitihthPPuubblilcicHHeaealtlhthInInstsittiututete (I(ISSPPUUPP)),,UUnniivveerrssiittyy ooffPPoorrttooaannddTTrrááss--ooss--MMoonntteess aanndd AAllttoo DDoouurroo UUnniivveerrssiittyy ((UUTTAADD)). Questionnaire prepared to collect data from several risk factors from the animal, feeding habits, its environment, owners and family behavior
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