ArticleJournal of veterinary internal medicine
Novel genomic prognostic biomarkers for dogs with cancer.
Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Exploring the Therapeutic Potential of BRCA1 and BRCA2 as Targets in Canine Oncology: A Comprehensive Review of Their Role in Cancer Development and Treatment.International journal of molecular sciences · 2025Pooled it
- The oncogenome of the domestic cat.Science (New York, N.Y.) · 2026Article
- Insights into the olaparib-mediated cell death mechanisms in canine hematological malignancies: a different fate for CLBL-1 and GL-1 cell lines.Frontiers in veterinary science · 2026Article
- PARP inhibitor olaparib induces DNA damage and acts as a drug sensitizer in an in vitro model of canine hematopoietic cancer.BMC veterinary research · 2025Article
- Identification of novel genetic mutations for the treatment prognostication of canine lymphoma.NPJ precision oncology · 2025Article
- Some Aspects and Convergence of Human and Veterinary Drug Repositioning.Molecules (Basel, Switzerland) · 2024Review
- Large-scale genomic analysis of the domestic dog informs biological discovery.Genome research · 2024Review
- Clinical Use of Molecular Biomarkers in Canine and Feline Oncology: Current and Future.Veterinary sciences · 2024Review
- Clinical, pathologic and molecular findings in 2 Rottweiler littermates with appendicular osteosarcoma.Research square · 2024Article
- Review of Molecular Technologies for Investigating Canine Cancer.Animals : an open access journal from MDPI · 2024Review
- Novel genomic prognostic biomarkers for dogs with cancer.Journal of veterinary internal medicineArticle
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Authors and funding
23 authors at 16 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGrowing evidence from dogs and humans supports the abundance of mutation-based biomarkers in tumors of dogs. Increasing the use of clinical genomic diagnostic testing now provides another powerful data source for biomarker discovery. HYPOTHESIS: Analyzed clinical outcomes in dogs with cancer profiled using SearchLight DNA, a cancer gene panel for dogs, to identify mutations with prognostic value. ANIMALS: A total of 127 cases of cancer in dogs were analyzed using SearchLight DNA and for which clinical outcome information was available.
methodsClinical data points were collected by medical record review. Variables including mutated genes, mutations, signalment, and treatment were fitted using Cox proportional hazard models to identify factors associated with progression-free survival (PFS). The log-rank test was used to compare PFS between patients receiving and not receiving targeted treatment before first progression.
resultsCombined genomic and outcomes analysis identified 336 unique mutations in 89 genes across 26 cancer types. Mutations in 6 genes (CCND1, CCND3, SMARCB1, FANCG, CDKN2A/B, and MSH6) were significantly associated with shorter PFS. Dogs that received targeted treatment before first progression (n = 45) experienced significantly longer PFS compared with those that did not (n = 82, P = .01). This significance held true for 29 dogs that received genomically informed targeted treatment compared with those that did not (P = .05). CONCLUSION AND CLINICAL IMPORTANCE: We identified novel mutations with prognostic value and demonstrate the benefit of targeted treatment across multiple cancer types. These results provide clinical evidence of the potential for genomics and precision medicine in dogs with cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.