ReviewCancers2025
The Role of Canine Models of Human Cancer: Overcoming Drug Resistance Through a Transdisciplinary "One Health, One Medicine" Approach.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Preclinical study of an optimized AAV cancer vaccine in a spontaneous canine model of oral melanoma.Molecular therapy. Oncology · 2026Article
- Gene Expression Profiling of EGFR, FGFR2, PIK3CA, PTEN, SMAD4, STK11, and TP53 in Cell-Free RNA From Exhaled Breath Condensate: Diagnostic, Prognostic, and Therapeutic Implications in Advanced Lung Adenocarcinoma.Cancer reports (Hoboken, N.J.) · 2026Article
- Exploring the Role of the MAPK Signalling Pathway in Dog Immunity: From Cancer to Parasitic Diseases.Parasite immunology · 2026Review
- Anti-Cancer Activity ofMarine drugs · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionChemotherapy is a primary treatment option in human and veterinary oncology. Like humans, canine patients often develop drug resistance. Comparative oncology is gaining increasing interest, and spontaneous tumors of companion dogs have emerged as a powerful resource for better understanding human cancer. The genetic, molecular, and histological features of tumors in dogs are more closely related to those in humans than the ones in laboratory animals, including complex mechanisms of drug resistance.
methodsA comprehensive literature search was conducted in the electronic database Clarivate Web of Science (WOS): Medical Literature Analysis and Retrieval System Online (MEDLINE) from 1990 to 2025 (updated 22 January 2025). The final set includes 59 relevant full-text English articles.
resultsThe literature findings suggest that canine spontaneous tumors are valuable model systems with important translational implications for identifying novel mechanisms of chemotherapy resistance shared with humans and may help advance the current standard of care in precision medicine.
conclusionsWe have provided an updated overview of the role of canine tumor models to study oncotherapy resistance, focusing on limitations and opportunities for advancement. Despite complementary benefits of such models in translational oncology research, their relevance remains underestimated. Strengthening the collaboration between human and veterinary medicine professionals and comparative medicine researchers, and obtaining the support of interdisciplinary institutions, could contribute to addressing the problem of multidrug resistance for both human and canine patients. Future research may promote using canine spontaneous tumors as translational therapeutic models for human chemoresistance, through a multidisciplinary approach based on the emerging "One Health, One Medicine" paradigm.
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What Socratic holds
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 Socratic graph.