The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Urinary Bladder Cancer in Dogs, a Naturally Occurring Model for Cancer Biology and Drug Development
Open accessAbstract
Each year more than 65,000 people are diagnosed with urinary bladder cancer, and more than 14,000 people die from the disease in the United States. Studies in relevant animal models are essential to improve the management of bladder cancer. Naturally occurring bladder cancer in dogs very closely mimics human invasive bladder cancer, specifically high-grade invasive transitional cell carcinoma (TCC; also referred to as invasive urothelial carcinoma) in cellular and molecular features; biological behavior, including sites and frequency of metastasis; and response to therapy. Canine bladder cancer complements experimentally induced rodent tumors in regard to animal models of bladder cancer. Results of cellular and molecular studies and -omics analyses in dogs are expected to lead to improved detection of TCC and preneoplastic lesions, earlier intervention, better prediction of patient outcome, and more effective TCC management overall. Studies in dogs are being used to help define heritable risks (through very strong breed-associated risk) and environment risks and to evaluate prevention and treatment approaches that benefit humans as well as dogs. Clinical treatment trials in pet dogs with TCC are considered a win-win scenario by clinician scientists and pet owners. The individual dog benefits from effective treatment, the results are expected to help other dogs, and the findings are expected to ultimately help humans with TCC. This article provides an overview of canine TCC, a summary of the similarities and differences between canine and human invasive TCC, and examples of the types of valuable translational research that can be done using dogs with naturally occurring TCC.
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1 retracted
Roberts, J. T., von der Maase, H., Sengeløv, L., Conte, P., Dogliotti, L., Oliver, R. T. D., Moore, M. J., Zimmermann, A., & Arning, M. (2006) · Annals of Oncology · doi:10.1093/annonc/mdj965 · Cited by 115
RetractedComprehensive molecular characterization of urothelial bladder carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/za09-dk57 · Cited by 2,990
A decade of exploring the cancer epigenome—biological and translational implications
Baylin, S. B., & Jones, P. A. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3130 · Cited by 2,871
Epidemiology and Risk Factors of Urothelial Bladder Cancer
Burger, M., Catto, J. W. F., Dalbagni, G., Grossman, H. B., Herr, H., Karakiewicz, P., Kassouf, W., Kiemeney, L. A., La Vecchia, C., Shariat, S., et al. (2013) · European Urology · doi:10.1016/j.eururo.2012.07.033 · Cited by 2,164
Smithers, D. W. (1956) · The Lancet · doi:10.1016/s0140-6736(56)91184-9 · Cited by 1,791
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The present and future burden of urinary bladder cancer in the world
Ploeg, M., Aben, K. K. H., & Kiemeney, L. A. (2009) · World Journal of Urology · doi:10.1007/s00345-009-0383-3 · Cited by 927
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Cited by
Gardner, H. L., Fenger, J. M., & London, C. A. (2016) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-022114-110911 · Cited by 215
Metadata
- Authors
- Knapp, D. W., Ramos-Vara, J. A., Moore, G. E., Dhawan, D., Bonney, P. L., & Young, K. E.
- Venue
- ILAR Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-01-01
- Volume
- 55
- Issue
- 1
- Pages
- 100-118
- ISSN
- 1084-2020 (ISSN-L)
- OpenAlex
- W2169963604
- Cited by
- 284
- References
- 80
- FWCI
- 10.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Knapp, D. W., Ramos-Vara, J. A., Moore, G. E., Dhawan, D., Bonney, P. L., & Young, K. E. (2014). Urinary Bladder Cancer in Dogs, a Naturally Occurring Model for Cancer Biology and Drug Development. ILAR Journal. https://doi.org/10.1093/ilar/ilu018
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.