Peer-reviewed studies report clinical activity of anti-PD-1 monoclonal antibody in canine melanoma and mast cell tumours
MSD Animal Health has announced the publication of two peer-reviewed studies evaluating gilvetmab, a caninized anti-programmed cell death protein 1 (PD-1) monoclonal antibody developed for canine oncology.
Announced on 1 October 2026, the research provides clinical evidence on the safety, efficacy and therapeutic potential of immune checkpoint inhibition in dogs with naturally occurring malignancies, particularly melanoma and mast cell tumours.

The studies, published in the Journal of Veterinary Internal Medicine and the Journal of the American Veterinary Medical Association, contribute to the growing evidence base for immunotherapy in veterinary oncology.
Gilvetmab: targeting immune checkpoint inhibition
Gilvetmab is a monoclonal antibody designed to bind canine PD-1, a receptor involved in regulating immune responses.
Certain cancers exploit the PD-1/PD-L1 pathway to suppress T-cell activity and evade immune surveillance. By blocking this inhibitory pathway, gilvetmab is designed to reactivate antitumour immune responses.
Unlike conventional cytotoxic chemotherapy, immune checkpoint inhibitors aim to stimulate the host immune system to recognize and attack tumour cells.
The product containing gilvetmab has conditional USDA approval in the United States for dogs with melanoma or mast cell tumours. Its conditional licensing status means that its safety and efficacy have not yet been fully established under the requirements for full licensure.
Clinical evidence: response rates in canine cancers
The underlying multi-institutional, open-label clinical study evaluated 51 client-owned dogs with melanoma or mast cell tumours, alongside a separate group of 15 dogs with lymphoma.
Clinical parameter |
Melanoma |
Mast cell tumours |
|---|---|---|
Dogs evaluated |
25 |
26 |
Objective response rate |
20% |
46% |
Median time to progression |
56 days |
Not reached |
Disease stages evaluated |
II–III |
I–III |

