Identifying therapeutic strategies for triple-negative breast cancer via phosphoproteomics.

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yuhan Sheng, Gordon Mills, Xuejiao Zhao
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引用次数: 0

Abstract

Introduction: Given the poor prognosis of patients with TNBC, it is urgent to identify new biomarkers and therapeutic targets to enable personalized treatment strategies and improve patient survival. Comprehensive insights beyond genomic and transcriptomic analysis are crucial to improved outcomes for patients. As proteins are the workhorses of cellular function with their activity primarily regulated by phosphorylation, advanced phosphoproteomics techniques, such as mass spectrometry and antibody arrays, are essential for elucidating kinase signaling pathways that drive TNBC progression and contribute to therapy resistance.

Area covered: This review discusses the critical need to integrate phosphoproteomics into TNBC research, evaluates commonly used technologies and their applications, and explores their advantages and limitations. We highlight significant findings from phosphoproteomic analyses in TNBC and address the challenges of implementing these technologies into clinical practice.

Expert opinion: Rapid advances in phosphoproteomics analysis facilitate subtype stratification, adaptive response monitoring, and identification of biomarkers and therapeutic targets in TNBC. However, challenges in analyzing protein phosphorylation, especially in deep spatially resolved analysis of malignant cells and the tumor ecosystem, hinder the translation of phosphoproteomics to the CLIA setting. Nonetheless, phosphoproteomics offers a powerful tool that, when integrated into routine clinical practice, has the potential to revolutionize patient care.

通过磷蛋白组学确定三阴性乳腺癌的治疗策略。
导言:鉴于 TNBC 患者预后不佳,当务之急是确定新的生物标志物和治疗靶点,以实现个性化治疗策略并提高患者生存率。除了基因组和转录组分析之外,全面的洞察力对于改善患者的预后至关重要。由于蛋白质是细胞功能的主力军,其活性主要受磷酸化调控,因此先进的磷酸化蛋白质组学技术(如质谱法和抗体阵列)对于阐明驱动 TNBC 进展并导致耐药性的激酶信号通路至关重要:本综述讨论了将磷酸化蛋白质组学纳入 TNBC 研究的迫切需要,评估了常用技术及其应用,并探讨了其优势和局限性。我们重点介绍了TNBC磷酸蛋白组学分析的重要发现,并探讨了将这些技术应用于临床实践所面临的挑战:磷酸化蛋白质组学分析的快速发展促进了TNBC的亚型分层、适应性反应监测以及生物标记物和治疗靶点的确定。然而,分析蛋白质磷酸化所面临的挑战,尤其是对恶性细胞和肿瘤生态系统进行深度空间解析分析所面临的挑战,阻碍了将磷酸化蛋白质组学应用于CLIA环境。不过,磷酸化蛋白质组学提供了一种强大的工具,如果将其纳入常规临床实践,有可能彻底改变患者的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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