在生物流体中发现癌症生物标志物的数据独立采集的最新实现。

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Expert Review of Proteomics Pub Date : 2025-04-01 Epub Date: 2025-04-27 DOI:10.1080/14789450.2025.2491355
Annie Ha, Michael Woolman, Matthew Waas, Meinusha Govindarajan, Thomas Kislinger
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引用次数: 0

摘要

导言:癌症是全球第二大死亡原因,需要准确的生物标志物用于早期检测和疾病监测,以改善预后。生物液体,如血液和尿液,是测量生物标志物的理想样本,因为它们可以用相对微创的方法常规收集。然而,由于其蛋白质含量的高动态范围,液体的蛋白质组学分析一直是一个挑战。基于数据独立采集(DIA)质谱的蛋白质组学技术的进步可以解决生物流体分析中的一些技术挑战,从而使质谱技术能够推动大规模生物标志物的发现。涉及领域:综述了DIA的原理及其在利用生物流体发现癌症生物标志物方面的最新应用。我们总结了过去十年来在癌症研究背景下使用生物液体的DIA蛋白质组学研究,并对DIA- ms的优点和挑战进行了全面概述。专家意见:各种研究表明,DIA-MS在高通量识别假定的癌症生物标志物方面具有潜力。然而,缺乏适当的研究设计和跨平台方法的标准化仍然需要解决,以充分利用DIA-MS的优势来加速生物标志物的发现和验证过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent implementations of data-independent acquisition for cancer biomarker discovery in biological fluids.

Introduction: Cancer is the second-leading cause of death worldwide and accurate biomarkers for early detection and disease monitoring are needed to improve outcomes. Biological fluids, such as blood and urine, are ideal samples for biomarker measurements as they can be routinely collected with relatively minimally invasive methods. However, proteomics analysis of fluids has been a challenge due to the high dynamic range of its protein content. Advances in data-independent acquisition (DIA) mass spectrometry-based proteomics can address some of the technical challenges in the analysis of biofluids, thus enabling the ability for mass spectrometry to propel large-scale biomarker discovery.

Areas covered: We reviewed principles of DIA and its recent applications in cancer biomarker discovery using biofluids. We summarized DIA proteomics studies using biological fluids in the context of cancer research over the past decade, and provided a comprehensive overview of the benefits and challenges of DIA-MS.

Expert opinion: Various studies showed the potential of DIA-MS in identifying putative cancer biomarkers in a high-throughput manner. However, the lack of proper study design and standardization of methods across platforms still needs to be addressed to fully utilize the benefits of DIA-MS to accelerate the biomarker discovery and verification processes.

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来源期刊
Expert Review of Proteomics
Expert Review of Proteomics 生物-生化研究方法
CiteScore
7.60
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.
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