脑肿瘤的蛋白质组水平的观点,以更好地了解新的诊断,预后和治疗。

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-12-30 DOI:10.1080/14789450.2023.2283498
Medha Gayathri J Pai, Deeptarup Biswas, Ayushi Verma, Sanjeeva Srivastava
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引用次数: 0

摘要

脑肿瘤是一种复杂的、异质性的恶性肿瘤,在诊断、预后和治疗方面都面临着重大挑战。蛋白质组学是对蛋白质及其功能的大规模研究,已成为全面研究脑肿瘤调控分子机制的有力工具。涵盖领域:本综述从蛋白质组学的角度探讨了脑肿瘤,重点介绍了通过蛋白质组学方法获得的最新进展和见解。它深入研究了所采用的蛋白质组学技术,并强调了早期检测、预后和治疗计划的潜在生物标志物。本文讨论了最近的PubMed中心蛋白质组学研究(2017年至今),总结了蛋白质表达改变、翻译后变化和蛋白质相互作用的发现。这揭示了脑肿瘤信号通路及其在创新治疗方法中的意义。专家意见:蛋白质组学为脑肿瘤的诊断和治疗提供了巨大的潜力。为了充分发挥其优势,进一步的转化研究至关重要。蛋白质组学与其他组学数据的结合增强了我们对脑肿瘤的掌握。验证和翻译蛋白质组生物标志物对于改善患者治疗效果至关重要。挑战包括肿瘤的复杂性,缺乏精心策划的蛋白质组数据库,以及需要研究人员和临床医生之间的合作。克服这些挑战需要在技术、数据共享和转化研究方面进行投资。简单的语言总结:脑肿瘤是一种复杂多样的癌症,在诊断、预后和治疗方面都面临着巨大的挑战。蛋白质组学是一个专注于大规模研究蛋白质及其功能的领域,它已经成为了解脑肿瘤在分子水平上如何工作的有力工具。在这篇综述中,我们详细介绍了蛋白质组学在脑肿瘤调控研究中的作用,讨论了蛋白质组学技术的最新进展和见解。我们探索各种基于质谱的蛋白质组学方法,这有助于揭示与脑肿瘤相关的独特蛋白质模式。通过分析细胞内蛋白质表达、修饰、相互作用和位置的变化,研究人员获得了有关脑肿瘤潜在机制的重要知识。蛋白质组学在确定早期检测的潜在生物标志物,预测患者预后以及开发靶向治疗和免疫治疗方面也起着至关重要的作用。然而,仍然有挑战需要克服,例如整合来自不同“组学”领域的数据,标准化协议和分析程序,以及利用人工智能来解释复杂的蛋白质组学数据。我们需要更有力的尝试来验证和翻译所有这些发现,以使患者受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A proteome-level view of brain tumors for a better understanding of novel diagnosis, prognosis, and therapy.

Introduction: Brain tumors are complex and heterogeneous malignancies with significant challenges in diagnosis, prognosis, and therapy. Proteomics, the large-scale study of proteins and their functions, has emerged as a powerful tool to comprehensively investigate the molecular mechanisms underlying brain tumor regulation.

Areas covered: This review explores brain tumors from a proteomic standpoint, highlighting recent progress and insights gained through proteomic methods. It delves into the proteomic techniques employed and underscores potential biomarkers for early detection, prognosis, and treatment planning. Recent PubMed Central proteomic studies (2017-present) are discussed, summarizing findings on altered protein expression, post-translational changes, and protein interactions. This sheds light on brain tumor signaling pathways and their significance in innovative therapeutic approaches.

Expert opinion: Proteomics offers immense potential for revolutionizing brain tumor diagnosis and therapy. To unlock its full benefits, further translational research is crucial. Combining proteomics with other omics data enhances our grasp of brain tumors. Validating and translating proteomic biomarkers are vital for better patient results. Challenges include tumor complexity, lack of curated proteomic databases, and the need for collaboration between researchers and clinicians. Overcoming these challenges requires investment in technology, data sharing, and translational research.

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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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