Characterization of anticancer drug resistance by reverse-phase protein array: new targets and strategies.

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Ann M Cathcart, Hannah Smith, Marilyne Labrie, Gordon B Mills
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引用次数: 1

Abstract

Introduction: Drug resistance is the main barrier to achieving cancer cures with medical therapy. Cancer drug resistance occurs, in part, due to adaptation of the tumor and microenvironment to therapeutic stress at a proteomic level. Reverse-phase protein arrays (RPPA) are well suited to proteomic analysis of drug resistance due to high sample throughput, sensitive detection of phosphoproteins, and validation for a large number of critical cellular pathways.

Areas covered: This review summarizes contributions of RPPA to understanding and combating drug resistance. In particular, contributions of RPPA to understanding resistance to PARP inhibitors, BRAF inhibitors, immune checkpoint inhibitors, and breast cancer investigational therapies are discussed. Articles reviewed were identified by MEDLINE, Scopus, and Cochrane search for keywords 'proteomics,' 'reverse-phase protein array,' 'drug resistance,' 'PARP inhibitor,' 'BRAF inhibitor,' 'immune checkpoint inhibitor,' and 'I-SPY' spanning October 1, 1960 - October 1, 2021.

Expert opinion: Precision oncology has thus far failed to convert the armament of targeted therapies into durable responses for most patients, highlighting that genetic sequencing alone is insufficient to guide therapy selection and overcome drug resistance. Combined genomic and proteomic analyses paired with creative drug combinations and dosing strategies hold promise for maturing precision oncology into an era of improved patient outcomes.

利用反相蛋白阵列表征抗癌药物耐药:新的靶点和策略。
导读:耐药性是药物治疗癌症的主要障碍。癌症耐药的发生部分是由于肿瘤和微环境在蛋白质组水平上对治疗应激的适应。反相蛋白阵列(RPPA)由于其高样品通量、对磷酸化蛋白的灵敏检测以及对大量关键细胞途径的验证,非常适合于耐药性的蛋白质组学分析。涉及领域:本文综述了RPPA在了解和抗击耐药性方面的贡献。特别是,RPPA对了解PARP抑制剂、BRAF抑制剂、免疫检查点抑制剂和乳腺癌研究性治疗的耐药性的贡献进行了讨论。通过MEDLINE、Scopus和Cochrane检索关键词“蛋白质组学”、“逆相蛋白阵列”、“耐药性”、“PARP抑制剂”、“BRAF抑制剂”、“免疫检查点抑制剂”和“I-SPY”,检索时间跨度为1960年10月1日至2021年10月1日。专家意见:迄今为止,精确肿瘤学未能将靶向治疗的武器转化为大多数患者的持久反应,这突出表明仅靠基因测序不足以指导治疗选择和克服耐药性。结合基因组学和蛋白质组学分析,结合创造性的药物组合和给药策略,有望使成熟的精确肿瘤学进入一个改善患者预后的时代。
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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