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质谱在癌症生物标志物发现中的角色演变

The evolving role of mass spectrometry in cancer biomarker discovery.

作者信息

Wang Pei, Whiteaker Jeffrey R, Paulovich Amanda G

机构信息

Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, WA 98109, USA.

出版信息

Cancer Biol Ther. 2009 Jun;8(12):1083-94. doi: 10.4161/cbt.8.12.8634. Epub 2009 Jun 6.

DOI:10.4161/cbt.8.12.8634
PMID:19502776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2957893/
Abstract

Although the field of mass spectrometry-based proteomics is still in its infancy, recent developments in targeted proteomic techniques have left the field poised to impact the clinical protein biomarker pipeline now more than at any other time in history. for proteomics to meet its potential for finding biomarkers, clinicians, statisticians, epidemiologists and chemists must work together in an interdisciplinary approach. These interdisciplinary efforts will have the greatest chance for success if participants from each discipline have a basic working knowledge of the other disciplines. To that end, the purpose of this review is to provide a nontechnical overview of the emerging/evolving roles that mass spectrometry (especially targeted modes of mass spectrometry) can play in the biomarker pipeline, in hope of making the technology more accessible to the broader community for biomarker discovery efforts. Additionally, the technologies discussed are broadly applicable to proteomic studies, and are not restricted to biomarker discovery.

摘要

尽管基于质谱的蛋白质组学领域仍处于起步阶段,但靶向蛋白质组学技术的最新进展使该领域比历史上任何时候都更有可能影响临床蛋白质生物标志物流程。为了使蛋白质组学发挥其寻找生物标志物的潜力,临床医生、统计学家、流行病学家和化学家必须采用跨学科方法共同努力。如果每个学科的参与者都具备其他学科的基本工作知识,那么这些跨学科努力取得成功的机会将最大。为此,本综述的目的是对质谱(尤其是靶向质谱模式)在生物标志物流程中可以发挥的新兴/不断演变的作用进行非技术性概述,希望能让更广泛的群体更容易接触到该技术,以用于生物标志物发现工作。此外,所讨论的技术广泛适用于蛋白质组学研究,并不局限于生物标志物发现。

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本文引用的文献

1
The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.生物标志物发现与临床验证之间的界面:蛋白质生物标志物流程中的焦油坑。
Proteomics Clin Appl. 2008 Oct 1;2(10-11):1386-1402. doi: 10.1002/prca.200780174.
2
Predictive biomarkers in the development of oncology drugs: a therapeutic industry perspective.肿瘤药物研发中的预测性生物标志物:治疗行业视角
Clin Pharmacol Ther. 2009 May;85(5):535-8. doi: 10.1038/clpt.2009.9. Epub 2009 Mar 18.
3
Lead time and overdiagnosis in prostate-specific antigen screening: importance of methods and context.
在前列腺癌诊断和预后中实现准确蛋白质生物标志物的道路上:现状与未来进展。
Int J Mol Sci. 2021 Dec 17;22(24):13537. doi: 10.3390/ijms222413537.
4
Targeted mass spectrometry-based assays enable multiplex quantification of receptor tyrosine kinase, MAP Kinase, and AKT signaling.基于靶向质谱的检测方法可实现受体酪氨酸激酶、MAP 激酶和 AKT 信号通路的多重定量分析。
Cell Rep Methods. 2021 Jul 26;1(3). doi: 10.1016/j.crmeth.2021.100015. Epub 2021 Jun 14.
5
Proteomic discovery of non-invasive biomarkers of localized prostate cancer using mass spectrometry.使用质谱法对局限性前列腺癌进行非侵入性生物标志物的蛋白质组学发现。
Nat Rev Urol. 2021 Dec;18(12):707-724. doi: 10.1038/s41585-021-00500-1. Epub 2021 Aug 27.
6
The next horizon in precision oncology: Proteogenomics to inform cancer diagnosis and treatment.精准肿瘤学的下一个前沿领域:蛋白质基因组学助力癌症诊断与治疗
Cell. 2021 Apr 1;184(7):1661-1670. doi: 10.1016/j.cell.2021.02.055.
7
Clinical potential of mass spectrometry-based proteogenomics.基于质谱的蛋白质基因组学的临床潜力。
Nat Rev Clin Oncol. 2019 Apr;16(4):256-268. doi: 10.1038/s41571-018-0135-7.
8
Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer.靶向蛋白质组学分析方法定量检测卵巢癌蛋白质组学分析鉴定的蛋白质。
Sci Data. 2017 Jul 19;4:170091. doi: 10.1038/sdata.2017.91.
9
Urinary biomarkers for renal tract malformations.用于泌尿道畸形的尿液生物标志物。
Expert Rev Proteomics. 2016 Dec;13(12):1121-1129. doi: 10.1080/14789450.2016.1254555. Epub 2016 Nov 15.
10
Network-Based Protein Biomarker Discovery Platforms.基于网络的蛋白质生物标志物发现平台
Genomics Inform. 2016 Mar;14(1):2-11. doi: 10.5808/GI.2016.14.1.2. Epub 2016 Mar 31.
前列腺特异性抗原筛查中的提前期和过度诊断:方法及背景的重要性
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4
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5
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J Clin Oncol. 2009 Mar 10;27(8):1323-33. doi: 10.1200/JCO.2007.14.8197. Epub 2009 Feb 9.
6
Exosomal secretion of cytoplasmic prostate cancer xenograft-derived proteins.细胞质前列腺癌异种移植来源蛋白的外泌体分泌
Mol Cell Proteomics. 2009 Jun;8(6):1192-205. doi: 10.1074/mcp.M800443-MCP200. Epub 2009 Feb 9.
7
Dynamic modularity in protein interaction networks predicts breast cancer outcome.蛋白质相互作用网络中的动态模块化可预测乳腺癌预后。
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Dis Markers. 2008;25(4-5):243-58. doi: 10.1155/2008/515318.