ReviewAnnual review of biomedical data science2024
Bringing the Genomic Revolution to Comparative Oncology: Human and Dog Cancers.
Review in Annual review of biomedical data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Berberine Chloride Suppresses Growth of Canine Osteosarcoma Cells via Regulating MMP2/AKT/β-Catenin Pathway.Antioxidants (Basel, Switzerland) · 2026Article
- Article
- Integrated Multiomic Profiling Enhances Risk Stratification and Prognostication in Canine Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Virus-like particles in cancer immunotherapy: bridging human and veterinary medicine through one health.Journal of nanobiotechnology · 2026Review
- Leveraging Dog Models to Uncover Human Cancer Insights.Research square · 2026Article
- The Paipu framework enables creation of a large-scale mammalian cancer transcriptomics atlas.bioRxiv : the preprint server for biology · 2026Article
- A One Health Perspective on Cancer: A Narrative Review.Medical sciences (Basel, Switzerland) · 2026Review
- Comparative Cancer Genetics and Veterinary Therapeutics in Dogs and Cats: A Species-Aware Framework for Comparative Oncology.Life (Basel, Switzerland) · 2026Review
- Factors influencing malignant tumor development in cats from a multicenter retrospective study.Scientific reports · 2026Article
- Multiple malignant primary tumors in dogs: an Italian registry-based epidemiological study.Frontiers in veterinary science · 2026Article
- The Immune Landscape of Canine Soft Tissue Sarcomas as a Model for Human Soft Tissue Sarcomas.Cancers · 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
5 authors.
Funding
Abstract
Dogs are humanity's oldest friend, the first species we domesticated 20,000-40,000 years ago. In this unequaled collaboration, dogs have inadvertently but serendipitously been molded into a potent human cancer model. Unlike many common model species, dogs are raised in the same environment as humans and present with spontaneous tumors with human-like comorbidities, immunocompetency, and heterogeneity. In breast, bladder, blood, and several pediatric cancers, in-depth profiling of dog and human tumors has established the benefits of the dog model. In addition to this clinical and molecular similarity, veterinary studies indicate that domestic dogs have relatively high tumor incidence rates. As a result, there are a plethora of data for analysis, the statistical power of which is bolstered by substantial breed-specific variability. As such, dog tumors provide a unique opportunity to interrogate the molecular factors underpinning cancer and facilitate the modeling of new therapeutic targets. This review discusses the emerging field of comparative oncology, how it complements human and rodent cancer studies, and where challenges remain, given the rapid proliferation of genomic resources. Increasingly, it appears that human's best friend is becoming an irreplaceable component of oncology research.
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What OpenQuestion 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 OpenQuestion graph.