Peer-reviewed veterinary case report
Noninvasive urine test detects bladder cancer in dogs
By Bracha, Shay et al.·Published in Analytical biochemistry·2014·Department of Clinical Sciences, United States·View original on PubMed →
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Original publication title: A multiplex biomarker approach for the diagnosis of transitional cell carcinoma from canine urine.
- Species:
- dog
Plain-English summary
A study found that a new urine test could help diagnose transitional cell carcinoma (TCC), a common bladder cancer in dogs, more accurately and less invasively. Researchers analyzed urine samples from 12 dogs, including those with TCC, urinary tract infections, and healthy dogs. They identified specific proteins that were present in dogs with TCC, which could lead to a more reliable diagnosis without needing invasive procedures. This new method showed a 90% accuracy rate in predicting TCC, potentially improving early detection and treatment options for affected dogs.
People also search for: dog bladder cancer symptoms · transitional cell carcinoma urine test · dog urinary tract infection diagnosis
Abstract
Transitional cell carcinoma (TCC), the most common cancer of the urinary bladder in dogs, is usually diagnosed at an advanced disease stage with limited response to chemotherapy. Commercial screening tests lack specificity and current diagnostic procedures are invasive. A proof of concept pilot project for analyzing the canine urinary proteome as a noninvasive diagnostic tool for TCC identification was conducted. Urine was collected from 12 dogs in three cohorts (healthy, urinary tract infection, TCC) and analyzed using liquid chromatography tandem mass spectrometry. The presence of four proteins (macrophage capping protein, peroxiredoxin 5, heterogeneous nuclear ribonucleoproteins A2/B, and apolipoprotein A1) was confirmed via immunoblot. Of the total 379 proteins identified, 96 were unique to the TCC group. A statistical model, designed to evaluate the accuracy of this multiplex biomarker approach for diagnosis of TCC, predicted the presence of disease with 90% accuracy.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/24704347/