Evidence map›Paper›PMID 32039002›Full record

ReviewFrontiers in oncology2019

Naturally-Occurring Invasive Urothelial Carcinoma in Dogs, a Unique Model to Drive Advances in Managing Muscle Invasive Bladder Cancer in Humans.

Deborah W Knapp, Deepika Dhawan, José A Ramos-Vara, Timothy L Ratliff, Gregory M Cresswell, Sagar Utturkar, Breann C Sommer, Christopher M Fulkerson, Noah M Hahn

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
22.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

  1. A Comparative Meta-Analysis andFrontiers in veterinary science · 2020
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  17. Review of Molecular Technologies for Investigating Canine Cancer.Animals : an open access journal from MDPI · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Deborah W KnappDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, United States.
Deepika DhawanDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, United States.
José A Ramos-VaraPurdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States.
Timothy L RatliffPurdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States.
Gregory M CresswellPurdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States.
Sagar UtturkarPurdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States.
Breann C SommerDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, United States.
Christopher M FulkersonDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN, United States.
Noah M HahnDepartment of Oncology and Urology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Purdue University West Lafayette · USCenter for Cancer Research · USSidney Kimmel Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a great need to improve the outlook for people facing urinary bladder cancer, especially for patients with invasive urothelial carcinoma (InvUC) which is lethal in 50% of cases. Improved outcomes for patients with InvUC could come from advances on several fronts including emerging immunotherapies, targeted therapies, and new drug combinations; selection of patients most likely to respond to a given treatment based on molecular subtypes, immune signatures, and other characteristics; and prevention, early detection, and early intervention. Progress on all of these fronts will require clinically relevant animal models for translational research. The animal model(s) should possess key features that drive success or failure of cancer drugs in humans including tumor heterogeneity, genetic-epigenetic crosstalk, immune cell responsiveness, invasive and metastatic behavior, and molecular subtypes (e.g., luminal, basal). Experimental animal models, while essential in bladder cancer research, do not possess these collective features to accurately predict outcomes in humans. These key features, however, are present in naturally-occurring InvUC in pet dogs. Canine InvUC closely mimics muscle-invasive bladder cancer in humans in cellular and molecular features, molecular subtypes, immune response patterns, biological behavior (sites and frequency of metastasis), and response to therapy. Thus, dogs can offer a highly relevant animal model to complement other models in research for new therapies for bladder cancer. Clinical treatment trials in pet dogs with InvUC are considered a win-win-win scenario; the individual dog benefits from effective treatment, the results are expected to help other dogs, and the findings are expected to translate to better treatment outcomes in humans. In addition, the high breed-associated risk for InvUC in dogs (e.g., 20-fold increased risk in Scottish Terriers) offers an unparalleled opportunity to test new strategies in primary prevention, early detection, and early intervention. This review will provide an overview of canine InvUC, summarize the similarities (and differences) between canine and human InvUC, and provide evidence for the expanding value of this canine model in bladder cancer research.

Indexed as

animal modelsbladder cancercancer preventiondogimmunotherapytargeted therapytransitional cell carcinomaurothelial carcinoma

Identifiers

PMID32039002
PMCPMC6985458
OpenAlexW3001219992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.