Study Finds Genetic Links Between Cat and Human Cancers May Inform Future Treatments

A major international study suggests that domestic cats could play an important role in advancing cancer research for both animals and humans. Scientists analyzed nearly 500 feline tumor samples collected from multiple countries, making it one of the largest genetic studies of cat cancers ever conducted. The research revealed that many cancers in cats share significant genetic similarities with those found in humans and dogs, particularly in genes known to drive tumor growth.

One of the most notable findings involved the FBXW7 gene, which was frequently mutated in feline mammary tumors. These mutations appeared in more than half of the cases studied and are also associated with aggressive forms of breast cancer in humans, often linked to poorer patient outcomes. The study also identified shared cancer-related genetic patterns across several organs, including the lungs, skin, blood, gastrointestinal tract, bones, and central nervous system.

Researchers emphasized that cats may provide valuable insights because they live closely with humans and can be exposed to similar environmental factors that may influence cancer development. This opens new possibilities for understanding how lifestyle and environment contribute to cancer risk across species.

In addition to genetic analysis, scientists tested how certain chemotherapy drugs performed on cat tumor tissues. They found that tumors with FBXW7 mutations responded differently, suggesting potential pathways for more targeted and effective treatments. Although these results are still preliminary and based on lab tissue studies, they offer promising directions for future research.

The project is part of a broader “One Medicine” approach, which encourages collaboration between veterinary and human medical research. Experts believe this framework could accelerate the development of precision medicine strategies, improving cancer treatment options for both pets and people. The study also provides a large open dataset that may support future discoveries in comparative oncology.