Advancing Veterinary Oncology: Next-Generation Diagnostics for Early Cancer Detection and Clinical Implementation

• Published in: Animals (Basel) Vol. 15; no. 3; p. 389
• Main Authors: Alshammari, Aya Hasan, Oshiro, Takuya, Ungkulpasvich, Umbhorn, Yamaguchi, Junichi, Morishita, Masayo, Khdair, Sura Abbas, Hatakeyama, Hideyuki, Hirotsu, Takaaki, di Luccio, Eric
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.02.2025; MDPI
• Subjects: Accuracy; Algorithms; Animals; Artificial intelligence; Artificial Intelligence-enhanced imaging; Biopsy; Blood; Cancer; Deep learning; Development and progression; Diagnosis; Dogs; liquid biopsy; Magnetic resonance imaging; Medical examination; Medical imaging equipment; Medical research; molecular biomarkers; molecular diagnostics; Mortality; Oncology; Oncology, Experimental; One Health; One Medicine; Review; Tumors; Ultrasonic imaging; Vemurafenib; Veterinary medicine; Vincristine; Artificial Intelligence-enhanced imaging; molecular diagnostics; molecular biomarkers; precision medicine; One Medicine; companion animal cancer; liquid biopsy; One Health; comparative oncology
• ISSN: 2076-2615; 2076-2615
• DOI: 10.3390/ani15030389

Cancer is a leading cause of death among companion animals, with many cases diagnosed at advanced stages when clinical signs have appeared, and prognosis is poor. Emerging diagnostic technologies, including Artificial Intelligence (AI)-enhanced imaging, liquid biopsies, molecular diagnostics, and nematode-based screening, can improve early detection capabilities in veterinary medicine. These tools offer non-invasive or minimally invasive methods to facilitate earlier detection and treatment planning, addressing the limitations of traditional diagnostics, such as radiography and tissue biopsies. Recent advancements in comparative oncology, which leverage the biological similarities between human and companion animal cancers, underscore their translational value in improving outcomes across species. Technological advances in genomics, bioinformatics, and machine learning are driving a shift toward precision medicine, enabling earlier detection, personalized treatments, and monitoring of disease progression. Liquid biopsy testing detects circulating tumor DNA and tumor cells, providing actionable insights into tumor genetics without invasive procedures. Imaging systems enhance diagnostic precision, offering consistent and accurate tumor identification across veterinary practices, while portable innovations like Caenorhabditis elegans-based screening provide accessible options for underserved regions. As these technologies migrate from human medicine to veterinary applications, they are poised to redefine cancer care for companion animals. This review highlights key advancements in diagnostic technologies and their application in veterinary oncology, with a focus on enhancing early detection, accessibility, and precision in cancer care. By fostering the adoption of these innovations, veterinary oncology can achieve a new standard of care, improving outcomes for both animals and humans through the lens of comparative oncology.