Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine.

Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine.
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DOI:
10.1097/00125480-200111000-00014
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发表时间:
2001-04
期刊:
The American journal of pathology
影响因子:
--
通讯作者:
A. Vlahou;P. Schellhammer;Savvas E Mendrinos;K. Patel;F. Kondylis;L. Gong;S. Nasim;George L. Wright-George
A. Vlahou;P. Schellhammer;Savvas E Mendrinos;K. Patel;F. Kondylis;L. Gong;S. Nasim;George L. Wright-George
中科院分区:
其他
文献类型:
--
作者:
A. Vlahou;P. Schellhammer;Savvas E Mendrinos;K. Patel;F. Kondylis;L. Gong;S. Nasim;George L. Wright-George

文献摘要

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膀胱移行细胞癌(TCC)的非侵入性诊断方法的发展仍然是一个挑战。最近开发了蛋白质芯片技术(表面增强激光解吸/电离飞行时间质谱法)以促进生物混合物的蛋白质谱分析。本报告描述了一个探索性的研究,这项技术作为TCC诊断工具。分析了来自TCC患者、其他泌尿生殖系统疾病患者和健康供体的94份尿液样本。在TCC组中可重复地检测到多种蛋白质变化,包括5种潜在的新型TCC生物标志物和7种蛋白质簇(质量范围,3.3至133 kd)。TCC生物标志物之一(3.4kd)也在从膀胱barbotage获得的膀胱癌细胞中检测到,并被鉴定为防御素。单个标记物提供的TCC检测率范围为43%至70%,特异性为70%至86%。蛋白质生物标志物和簇的组合显著增加了检测TCC的敏感性至87%,特异性为66%。有趣的是,这种组合方法提供了78%的检测低级别TCC的灵敏度相比,只有33%的排尿或膀胱冲洗细胞学。总的来说,这些结果支持这种蛋白质组学方法用于开发高灵敏度尿TCC诊断测试的潜力。
Development of noninvasive methods for the diagnosis of transitional cell carcinoma (TCC) of the bladder remains a challenge. A ProteinChip technology (surface enhanced laser desorption/ionization time of flight mass spectrometry) has recently been developed to facilitate protein profiling of biological mixtures. This report describes an exploratory study of this technology as a TCC diagnostic tool. Ninety-four urine samples from patients with TCC, patients with other urogenital diseases, and healthy donors were analyzed. Multiple protein changes were reproducibly detected in the TCC group, including five potential novel TCC biomarkers and seven protein clusters (mass range, 3.3 to 133 kd). One of the TCC biomarkers (3.4 kd) was also detected in bladder cancer cells procured from bladder barbotage and was identified as defensin. The TCC detection rates provided by the individual markers ranged from 43 to 70% and specificities from 70 to 86%. Combination of the protein biomarkers and clusters, increased significantly the sensitivity for detecting TCC to 87% with a specificity of 66%. Interestingly, this combinatorial approach provided sensitivity of 78% for detecting low-grade TCC compared to only 33% of voided urine or bladder-washing cytology. Collectively these results support the potential of this proteomic approach for the development of a highly sensitive urinary TCC diagnostic test.