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首页> 外文期刊>Journal of proteome research >A Comprehensive Investigation toward the Indicative Proteins of Bladder Cancer in Urine: From Surveying Cell Secretomes to Verifying Urine Proteins
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A Comprehensive Investigation toward the Indicative Proteins of Bladder Cancer in Urine: From Surveying Cell Secretomes to Verifying Urine Proteins

机译:尿液中膀胱癌指示蛋白的全面研究:从调查细胞分泌蛋白到验证尿液蛋白

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摘要

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.
机译:尿液是研究膀胱癌中与癌症相关的蛋白质生物标记物的理想材料,而对这些候选物的探索正面临技术挑战。在这里,我们提出了一种与膀胱癌相关的尿蛋白搜索的综合策略。该策略包括三个核心组合:筛选膀胱癌细胞系分泌蛋白中的生物标志物候选物,并在患者尿液中进行验证,通过二维电泳(2DE)和等压标签定义差异蛋白以进行相对和绝对定量(iTRAQ)与LC-MS / MS结合使用,并实施了轮廓分析和目标分析的定量蛋白质组学。通过蛋白质组学调查,在癌细胞系中发现了700种蛋白质,这些蛋白质的分泌蛋白丰富度不同于正常细胞,而在尿液样本中发现了87种蛋白质。基于多反应监测(MRM)的定量方法适用于验证单个尿液样本中与膀胱癌相关的蛋白质,从而产生10种与癌症相关的尿液差异蛋白质。在这些候选者中,接受者的工作特征分析表明,CO3和LDHB的组合作为癌症指标比其他组更敏感。通过我们的策略发现膀胱癌指标为进一步生物标志物验证铺平了道路。

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