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蛋白质组学在癌症生物标志物中的应用

Proteomic Interrogation in Cancer Biomarker.

机构信息

Core Protein Resources Center, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South Korea.

出版信息

Adv Exp Med Biol. 2021;1187:305-322. doi: 10.1007/978-981-32-9620-6_15.

DOI:10.1007/978-981-32-9620-6_15
PMID:33983585
Abstract

Biomarkers factor into the diagnosis and treatment of almost every patient with cancer. The innovation in proteomics follows improvement of mass spectrometry techniques and data processing strategy. Recently, proteomics and typical biological studies have been the answer for clinical applications. The clinical proteomics techniques are now actively adapted to protein identification in large patient cohort, biomarker development for more sensitive and specific screening based on quantitative data. And, it is important for clinical, translational researchers to be acutely aware of the issues surrounding appropriate biomarker development, in order to facilitate entry of clinically useful biomarkers into the clinic. Here, we discuss in detail include the case research for clinical proteomics. Furthermore, we give an overview on the current developments and novel findings in proteomics-based cancer biomarker research.

摘要

生物标志物几乎参与了每个癌症患者的诊断和治疗。蛋白质组学的创新是伴随着质谱技术和数据处理策略的改进而出现的。最近,蛋白质组学和典型的生物学研究已经成为临床应用的答案。临床蛋白质组学技术现在正在积极地适应于在大型患者群体中进行蛋白质鉴定、基于定量数据的更敏感和更特异的筛查生物标志物的开发。对于临床和转化研究人员来说,敏锐地意识到围绕适当的生物标志物开发的问题非常重要,以便将临床上有用的生物标志物引入临床。在这里,我们详细讨论了包括临床蛋白质组学案例研究在内的问题。此外,我们还概述了基于蛋白质组学的癌症生物标志物研究的最新进展和新发现。

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Proteomic Interrogation in Cancer Biomarker.蛋白质组学在癌症生物标志物中的应用
Adv Exp Med Biol. 2021;1187:305-322. doi: 10.1007/978-981-32-9620-6_15.
2
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Toward an integrated pipeline for protein biomarker development.迈向蛋白质生物标志物开发的综合流程。
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Targeted and Untargeted Proteomics Approaches in Biomarker Development.靶向和非靶向蛋白质组学方法在生物标志物开发中的应用。
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本文引用的文献

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A Validation Study of a Multiple Reaction Monitoring-Based Proteomic Assay to Diagnose Breast Cancer.基于多反应监测的蛋白质组学检测方法诊断乳腺癌的验证研究
J Breast Cancer. 2019 Dec;22(4):579-586. doi: 10.4048/jbc.2019.22.e57.
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Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry.通过液相色谱-质谱联用技术对肿瘤组织进行多重深度蛋白质组和磷酸化蛋白质组分析的可重现工作流程。
Nat Protoc. 2018 Jul;13(7):1632-1661. doi: 10.1038/s41596-018-0006-9.
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Label-Free Quantitative Proteomic Screening of Candidate Plasma Biomarkers for the Prognosis of Breast Cancer with Different Lymph Node Statuses.
用于不同淋巴结状态乳腺癌预后的候选血浆生物标志物的无标记定量蛋白质组学筛查
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Proteogenomic integration reveals therapeutic targets in breast cancer xenografts.蛋白质基因组整合揭示了乳腺癌异种移植中的治疗靶点。
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Global Post-Translational Modification Discovery.全球翻译后修饰发现
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Integrating precision cancer medicine into healthcare-policy, practice, and research challenges.将精准癌症医学融入医疗政策、实践和研究面临挑战。
Genome Med. 2016 Oct 24;8(1):108. doi: 10.1186/s13073-016-0362-4.
8
A proteogenomic approach for protein-level evidence of genomic variants in cancer cells.一种在癌细胞中针对基因组变异的蛋白质水平证据的蛋白质基因组学方法。
Sci Rep. 2016 Oct 13;6:35305. doi: 10.1038/srep35305.
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Proteomic Analysis of Urine to Identify Breast Cancer Biomarker Candidates Using a Label-Free LC-MS/MS Approach.采用无标记液相色谱-串联质谱法对尿液进行蛋白质组学分析以鉴定乳腺癌生物标志物候选物
PLoS One. 2015 Nov 6;10(11):e0141876. doi: 10.1371/journal.pone.0141876. eCollection 2015.
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Development and Validation of a Novel Plasma Protein Signature for Breast Cancer Diagnosis by Using Multiple Reaction Monitoring-based Mass Spectrometry.基于多反应监测质谱法的乳腺癌诊断新型血浆蛋白标志物的开发与验证
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