Bladder Cancer Associated Glycoprotein Signatures Revealed by Urinary Proteomic Profiling
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- 作者：Paweena Kreunin ; Jia Zhao ; Charles Rosser ; Virginia Urquidi ; David M. Lubman ; Steve Goodison
- 刊名：Journal of Proteome Research
- 出版年：2007
- 出版时间：July 2007
- 年：2007
- 卷：6
- 期：7
- 页码：2631 - 2639
- 全文大小：161K
- 年卷期：v.6,no.7(July 2007)
- ISSN：1535-3907
文摘
Current methods in the noninvasive detection and surveillance of bladder cancer via urine analysisinclude voided urine cytology (VUC) and some diagnostic urinary protein biomarkers; however, due tothe poor sensitivity of VUC and high false-positive rates of currently available protein assays, detectionof bladder cancer via urinalysis remains a challenge. In the study presented here, a rapid, high-sensitivitytechnique was developed to profile the N-linked glycoprotein component in naturally micturated humanurine specimens. Concanavalin A (Con A) affinity chromatography coupled to nanoflow liquidchromatography was utilized to separate the complex peptide mixture prior to a linear ion trap MSanalysis. Of 186 proteins identified with high confidence by multiple analyses, 40% were secretedproteins, 18% membrane proteins, and 14% extracellular proteins. In this study, the presence of severalproteins appeared to be associated with the presence of bladder cancer, including 
-1B-glycoproteinthat was detected in all tumor-bearing patient samples but in none of the samples obtained from non-tumor-bearing individuals. The combination of Con A affinity chromatography and nano-LC/MS/MSprovides an initial investigation of N-glycoproteins in complex biological samples and facilitates theidentification of potential biomarkers of bladder cancer in noninvasively obtained human urine.
-1B-glycoproteinthat was detected in all tumor-bearing patient samples but in none of the samples obtained from non-tumor-bearing individuals. The combination of Con A affinity chromatography and nano-LC/MS/MSprovides an initial investigation of N-glycoproteins in complex biological samples and facilitates theidentification of potential biomarkers of bladder cancer in noninvasively obtained human urine.