Signaling pathway profiling by reverse-phase protein array for personalized cancer medicine

被引:29
作者
Masuda, Mari [1 ]
Yamada, Tesshi [1 ]
机构
[1] Natl Canc Ctr, Res Inst, Translat Res Grp, Div Chemotherapy & Clin Res, Tokyo 1040045, Japan
来源
BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS | 2015年 / 1854卷 / 06期
关键词
Reverse-phase protein (micro)array; Molecular targeted therapeutics; Therapy personalization; Signal pathway profiling; Drug resistance; Companion biomarker; HUMAN BREAST-CANCER; CELL LUNG-CANCER; OVARIAN-CANCER; ACTIVATION; MICROARRAYS; RESISTANCE; PROTEOMICS; IMATINIB; THERAPY; PROGRESSION;
D O I
10.1016/j.bbapap.2014.10.014
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Deregulation of intracellular signaling through accumulation of genetic alterations is a hallmark of cancer. In the past few decades, concerted and systematic efforts have been made to identify key genetic alterations and to develop therapeutic agents targeting active signaling molecules. However, the efficacy of molecular therapeutics often varies among individuals, and precise mapping of active molecules in individual patients is now considered an essential for therapy optimization. Reverse-phase protein array or microarray (RPPA or RPPM) is an emerging antibody-based highly quantitative proteomic technology, especially suitable for profiling of expression and modification of signaling proteins in low abundance. Because the supply of clinical materials is often limited, RPPA technology is highly advantageous for clinical proteomics in view of its high sensitivity as well as accurate quantification. RPPA has now begun to be incorporated into various clinical trials employing molecular-targeted therapeutics. In this article we review and discuss the application of RPPA technology in the fields of basic, preclinical, and clinical research. The RPPA Global Workshop was recently launched to accelerate the exchange of rapidly expanding knowledge of this fascinating technology among academic laboratories and industries worldwide. This article is part of a Special Issue entitled: Medical Proteomics. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:651 / 657
页数:7
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