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癌症蛋白质组学:从生物标志物发现到信号通路分析

Cancer proteomics: from biomarker discovery to signal pathway profiling.

作者信息

Bichsel V E, Liotta L A, Petricoin E F

机构信息

Laboratory of Pathology, NCI, NIH, Bethesda, MD 20892, USA.

出版信息

Cancer J. 2001 Jan-Feb;7(1):69-78.

Abstract

In the post-genomic era of science, the field of proteomics promises the discovery of new molecular targets for therapy, biomarkers for early detection, and new endpoints for therapeutic efficacy and toxicity. Patient-specific targeted therapeutics with reduced toxicity and increased efficacy, the ultimate goal for rational drug development, can only be achieved if direct analyses of the tissue cells in the actual human malignancy are analyzed. To that end, technologies such as Laser Capture Microdissection (LCM), is providing unparalleled access to the purified diseased human cells directly from tissue specimens. However, limited availability of patient material is a challenge towards the development of new highly sensitive proteomic methodologies. Two-dimensional gel electrophoresis (2D-PAGE), still the mainstay of most proteomic analysis of disease, is being complemented, and in some instances replaced by new exciting approaches to multiparametric protein characterization. The use of rapid, high throughput mass spectrometric-based fingerprints of peptides and proteins may prove to be valuable for new molecular classification of human tumors and disease stages. Coupled with LCM, high-density protein arrays, antibody arrays, and small molecular arrays, could have a substantial impact on proteomic profiling of human malignancies. Finally, detailed real-time knowledge about the states of intracellular signaling circuitry and pathways in the normal and malignant cells before, during and after therapy will yield invaluable information about mechanism of action and efficacy of existing and novel therapeutics for the treatment of human cancer.

摘要

在科学的后基因组时代,蛋白质组学领域有望发现新的治疗分子靶点、早期检测的生物标志物以及治疗效果和毒性的新终点。只有对实际人类恶性肿瘤中的组织细胞进行直接分析,才能实现毒性降低、疗效提高的患者特异性靶向治疗,这是合理药物开发的最终目标。为此,激光捕获显微切割(LCM)等技术能够直接从组织标本中获取纯化的患病人类细胞。然而,患者样本的有限可用性对新型高灵敏度蛋白质组学方法的开发构成挑战。二维凝胶电泳(2D-PAGE)仍是大多数疾病蛋白质组分析的主要方法,但现在正得到补充,在某些情况下还被用于多参数蛋白质表征的新方法所取代。基于肽和蛋白质的快速、高通量质谱指纹图谱的应用,可能对人类肿瘤和疾病阶段的新分子分类具有重要价值。与LCM、高密度蛋白质阵列、抗体阵列和小分子阵列相结合,可能会对人类恶性肿瘤的蛋白质组分析产生重大影响。最后,关于治疗前、治疗期间和治疗后正常细胞和恶性细胞内信号传导电路和途径状态的详细实时知识,将为现有和新型治疗人类癌症药物的作用机制和疗效提供宝贵信息。

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