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先进蛋白质组学在寻找膀胱癌标志物和治疗靶点中的作用。

The impact of advanced proteomics in the search for markers and therapeutic targets of bladder cancer.

作者信息

Zhang Hongshuo, Fan Yue, Xia Lingling, Gao Chunhui, Tong Xin, Wang Hanfu, Sun Lili, Ji Tuo, Jin Mingyu, Gu Bing, Fan Bo

机构信息

1 Department of Biochemistry, Institute of Glycobiology, Dalian Medical University, Dalian, P.R. China.

2 Department of Propaganda, Jinzhou Medical University, Jinzhou, P.R. China.

出版信息

Tumour Biol. 2017 Mar;39(3):1010428317691183. doi: 10.1177/1010428317691183.

Abstract

Bladder cancer is the most common cancer of the urinary tract and can be avoided through proper surveillance and monitoring. Several genetic factors are known to contribute to the progression of bladder cancer, many of which produce molecules that serve as cancer biomarkers. Blood, urine, and tissue are commonly analyzed for the presence of biomarkers, which can be derived from either the nucleus or the mitochondria. Recent advances in proteomics have facilitated the high-throughput profiling of data generated from bladder cancer-related proteins or peptides in parallel with high sensitivity and specificity, providing a wealth of information for biomarker discovery and validation. However, the transmission of screening results from one laboratory to another remains the main disadvantage of these methods, a fact that emphasizes the need for consistent and standardized procedures as suggested by the Human Proteome Organization. This review summarizes the latest discoveries and progress of biomarker identification for the early diagnosis, projected prognosis, and therapeutic response of bladder cancer, informs the readers of the current status of proteomic-based biomarker findings, and suggests avenues for future work.

摘要

膀胱癌是最常见的泌尿系统癌症,通过适当的监测可以避免。已知有几种遗传因素会促进膀胱癌的进展,其中许多会产生作为癌症生物标志物的分子。血液、尿液和组织通常会被分析是否存在生物标志物,这些生物标志物可以来自细胞核或线粒体。蛋白质组学的最新进展促进了对膀胱癌相关蛋白质或肽产生的数据进行高通量分析,同时具有高灵敏度和特异性,为生物标志物的发现和验证提供了丰富的信息。然而,筛查结果从一个实验室传递到另一个实验室仍然是这些方法的主要缺点,这一事实强调了人类蛋白质组组织所建议的一致和标准化程序的必要性。本综述总结了膀胱癌早期诊断、预测预后和治疗反应的生物标志物识别的最新发现和进展,向读者介绍了基于蛋白质组学的生物标志物研究现状,并提出了未来工作的方向。

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