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癌蛋白质组学。

Oncoproteomics.

机构信息

Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA.

出版信息

Clin Chim Acta. 2011 Jan 30;412(3-4):217-26. doi: 10.1016/j.cca.2010.10.002. Epub 2010 Oct 15.

DOI:10.1016/j.cca.2010.10.002
PMID:20955692
Abstract

Researchers have long acknowledged that changes in genes or gene activity lead to cancer. However, it was difficult to understand the function of such specific genes and their interaction in communication networks and the roles played by their protein products in molecular pathways. Protein molecules have direct influences on the development of cancer as it fundamentally arises due to aberrant signaling pathways. Identifying and understanding these changes is the primary theme of cancer proteomics, also termed as oncoproteomics. The ultimate objective of oncoproteomics is to acclimatize proteomic technologies for regular use in clinical laboratories for the purpose of diagnostic and prognostic categorization of disease condition, as well as in assessing drug toxicity and efficiency. Information gained from such technologies may soon exert a spectacular change in cancer research and impact dramatically on the care of cancer patients. Investigations of tumor-specific proteomic profiles may also allow better understanding of tumor development and the identification of novel targets for cancer therapy. In this review, we have tried to offer a wide perspective on recent progresses in proteomic research strategies, their applications in the discovery of novel tumor markers and drug targets and their role in illustrating action mechanisms of biomarkers and anticancer drugs including drug resistance.

摘要

研究人员早就认识到,基因或基因活性的变化会导致癌症。然而,很难理解这些特定基因的功能及其在通信网络中的相互作用,以及它们的蛋白质产物在分子途径中所扮演的角色。蛋白质分子对癌症的发展有直接影响,因为癌症本质上是由于异常的信号通路引起的。鉴定和理解这些变化是癌症蛋白质组学(也称为癌蛋白质组学)的主要主题。癌蛋白质组学的最终目标是使蛋白质组学技术适应在临床实验室中的常规使用,以便对疾病状况进行诊断和预后分类,以及评估药物毒性和效率。从这些技术中获得的信息可能很快会在癌症研究中产生显著变化,并对癌症患者的护理产生重大影响。对肿瘤特异性蛋白质组图谱的研究也可能有助于更好地了解肿瘤的发展,并确定癌症治疗的新靶点。在这篇综述中,我们试图提供一个广泛的视角,介绍蛋白质组学研究策略的最新进展,它们在发现新型肿瘤标志物和药物靶点方面的应用,以及它们在说明生物标志物和抗癌药物(包括耐药性)的作用机制方面的作用。

相似文献

1
Oncoproteomics.癌蛋白质组学。
Clin Chim Acta. 2011 Jan 30;412(3-4):217-26. doi: 10.1016/j.cca.2010.10.002. Epub 2010 Oct 15.
2
Recent advances in clinical oncoproteomics.临床肿瘤蛋白质组学的最新进展
J BUON. 2007 Sep;12 Suppl 1:S31-8.
3
Integrative oncoproteomics strategies for anticancer drug discovery.综合肿瘤蛋白质组学策略在抗癌药物发现中的应用。
Expert Rev Proteomics. 2010 Jun;7(3):411-29. doi: 10.1586/epr.10.14.
4
Oncoproteomics: current trends and future perspectives.肿瘤蛋白质组学:当前趋势与未来展望。
Expert Rev Proteomics. 2007 Jun;4(3):401-10. doi: 10.1586/14789450.4.3.401.
5
Mass spectrometry-based clinical proteomics: head-and-neck cancer biomarkers and drug-targets discovery.基于质谱的临床蛋白质组学:头颈部癌症生物标志物和药物靶点发现。
Mass Spectrom Rev. 2010 Nov-Dec;29(6):945-61. doi: 10.1002/mas.20296.
6
Cancer proteomics and its application to discovery of therapy response markers in human cancer.癌症蛋白质组学及其在人类癌症治疗反应标志物发现中的应用。
Cancer. 2006 Jul 15;107(2):232-41. doi: 10.1002/cncr.22000.
7
Drug resistance mechanisms in cancer cells: a proteomics perspective.癌细胞中的耐药机制:蛋白质组学视角
Curr Opin Mol Ther. 2003 Jun;5(3):258-65.
8
Drug resistance in cancer - searching for mechanisms, markers and therapeutic agents.癌症中的耐药性——寻找机制、标志物和治疗药物。
Expert Opin Drug Metab Toxicol. 2007 Dec;3(6):805-17. doi: 10.1517/17425255.3.6.805.
9
Role of oncoproteomics in the personalized management of cancer.肿瘤蛋白质组学在癌症个性化管理中的作用。
Expert Rev Proteomics. 2004 Jun;1(1):49-55. doi: 10.1586/14789450.1.1.49.
10
[Development of antituberculous drugs: current status and future prospects].[抗结核药物的研发:现状与未来前景]
Kekkaku. 2006 Dec;81(12):753-74.

引用本文的文献

1
The implementation of omics technologies in cancer microbiome research.组学技术在癌症微生物组研究中的应用。
Ecancermedicalscience. 2018 Sep 5;12:864. doi: 10.3332/ecancer.2018.864. eCollection 2018.
2
Proteomic-Based Approaches for the Study of Cytokines in Lung Cancer.基于蛋白质组学的肺癌细胞因子研究方法
Dis Markers. 2016;2016:2138627. doi: 10.1155/2016/2138627. Epub 2016 Jun 30.
3
Serial analysis of 38 proteins during the progression of human breast tumor in mice using an antibody colocalization microarray.使用抗体共定位微阵列对小鼠体内人乳腺肿瘤进展过程中的38种蛋白质进行系列分析。
Mol Cell Proteomics. 2015 Apr;14(4):1024-37. doi: 10.1074/mcp.M114.046516. Epub 2015 Feb 13.