Bracha Shay, McNamara Michael, Hilgart Ian, Milovancev Milan, Medlock Jan, Goodall Cheri, Wickramasekara Samanthi, Maier Claudia S
Department of Clinical Sciences, College of Veterinary Medicine, Oregon State University, Corvallis, OR 97331, USA.
EACRI, Providence Portland Medical Center, Portland, OR 97213, USA.
Anal Biochem. 2014 Jun 15;455:41-7. doi: 10.1016/j.ab.2014.03.017. Epub 2014 Apr 2.
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.
移行细胞癌（TCC）是犬类最常见的膀胱癌，通常在疾病晚期被诊断出来，对化疗的反应有限。商业筛查测试缺乏特异性，目前的诊断程序具有侵入性。开展了一个概念验证试点项目，以分析犬类尿液蛋白质组作为TCC识别的非侵入性诊断工具。从三个队列（健康、尿路感染、TCC）的12只狗中收集尿液，并使用液相色谱串联质谱法进行分析。通过免疫印迹法确认了四种蛋白质（巨噬细胞封盖蛋白、过氧化物还原酶5、不均一核核糖核蛋白A2/B和载脂蛋白A1）的存在。在总共鉴定出的379种蛋白质中，有96种是TCC组特有的。一个旨在评估这种多重生物标志物方法诊断TCC准确性的统计模型，预测疾病存在的准确率为90%。
