Factors influencing malignant tumor development in cats from a multicenter retrospective study
Niccolò Fonti1,2, Azzurra Carnio3, Cristiano Cocumelli3
1Department of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, Pisa, 56124, Italy. niccolo.fonti@unipd.it.
Scientific Reports
|January 19, 2026
Summary
This study analyzed feline tumor data from Italian animal cancer registries (ACRs), revealing increasing squamous cell carcinomas and decreasing fibrosarcomas. Older, female, and non-purebred cats showed higher malignancy risks.
Area of Science:
- Veterinary Oncology
- Epidemiology
- Comparative Pathology
Background:
- Animal cancer registries (ACRs) are crucial for understanding tumor patterns in animals.
- Limited epidemiological data exists for feline tumors, despite cancer being a leading cause of death in cats.
Purpose of the Study:
- To investigate temporal trends in feline tumor diagnoses.
- To assess the influence of breed, sex, neuter status, age, and origin on tumor malignancy and distribution.
Main Methods:
- Utilized data from two pathology-based ACRs in central Italy (2008-2023).
- Applied a modified Vet-ICD-O-canine-1 coding system to 5,289 feline tumors.
- Employed Cochrane-Armitage tests for time trends and logistic regression for risk factor analysis.
Main Results:
- 80.6% of feline tumors were malignant; common types included fibrosarcomas, adenocarcinomas, squamous cell carcinomas (SCCs), and lymphomas.
- Malignancy risk increased with age (8% per year). Females and non-purebred cats had higher malignancy odds.
- Neutered status correlated with reduced adenocarcinoma risk. SCCs showed an increasing trend, while fibrosarcomas declined over time.
Conclusions:
- Findings highlight significant temporal shifts in feline tumor types, with rising SCCs and falling fibrosarcomas.
- Identified age, sex, and breed (purebred vs. non-purebred) as key factors influencing feline tumor malignancy.
- Emphasizes the value of multicenter ACR-based surveillance for feline oncology research and risk factor identification.
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