A Comprehensive Investigation toward the Indicative Proteins of Bladder Cancer in Urine: From Surveying Cell Secretomes to Verifying Urine Proteins

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• 作者：Jiao Guo ; Yan Ren ; Guixue Hou ; Bo Wen ; Feng Xian ; Zhen Chen ; Ping Cui ; Yingying Xie ; Jin Zi ; Liang Lin ; Song Wu ; Zesong Li ; Lin Wu ; Xiaomin Lou ; Siqi Liu
• 刊名：Journal of Proteome Research
• 出版年：2016
• 出版时间：July 1, 2016
• 年：2016
• 卷：15
• 期：7
• 页码：2164-2177
• 全文大小：559K
• 年卷期：0
• ISSN：1535-3907

文摘

Urine is an ideal material to study the cancer-related protein biomarkers in bladder, whereas exploration to these candidates is confronting technique challenges. Herein, we propose a comprehensive strategy of searching the urine proteins related with bladder cancer. The strategy consists of three core combinations, screening the biomarker candidates in the secreted proteins derived from the bladder cancer cell lines and verifying them in patient urines, defining the differential proteins through two-dimensional electrophoresis (2DE) and isobaric tags for relative and absolute quantitation (iTRAQ) coupled with LC–MS/MS, and implementing quantitative proteomics of profiling and targeting analysis. With proteomic survey, a total of 700 proteins were found with their abundance of secreted proteins in cancer cell lines different from normal, while 87 proteins were identified in the urine samples. The multiple reaction monitoring (MRM)-based quantification was adapted in verifying the bladder cancer related proteins in individual urine samples, resulting in 10 differential urine proteins linked with the cancer. Of these candidates, receiver operating characteristic analysis revealed that the combination of CO3 and LDHB was more sensitive as the cancer indicator than other groups. The discovery of the bladder cancer indicators through our strategy has paved an avenue to further biomarker validation.