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HR MAS MR 光谱在癌症代谢特征中的应用。

HR MAS MR spectroscopy in metabolic characterization of cancer.

机构信息

Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

出版信息

Curr Top Med Chem. 2011;11(1):2-26. doi: 10.2174/156802611793611869.

Abstract

One of the central hallmarks of cancer is the rapid and infinite cellular proliferation. In order to cope with increased requirement for building blocks and energy, cancer cells develop abnormal metabolic properties. Detailed assessment of cancer cell metabolism can provide biological information for use in both drug discovery and development of personalized cancer therapy. Analysis of intact tissue using high resolution magic angle spinning (HR MAS) magnetic resonance spectroscopy (MRS) gives qualitative and quantitative metabolite measures with minimal sample preparation. Multivariate statistical methods are important tools for analysis of complex MR data and have in recent years been used for analysis of HR MAS data from intact tissue. HR MAS analysis of intact tissue allows combination of metabolomic data with genomic or proteomic data, and can therefore be used both for exploring the molecular biology of cancer and for clinical improvements in cancer diagnostics, prognostics and treatment planning. In this review, the basic concepts of HR MAS are presented, and its use in characterisation of cancer metabolism is discussed with specific focus on selected pathways such as choline metabolism and glycolysis. The use of HR MAS in analysis of amino acids and lipid metabolism in cancer is also reviewed. Finally, the expected role of HR-MAS in metabolic characterisation in the near future is discussed.

摘要

癌症的一个主要特征是细胞的快速和无限增殖。为了应对构建块和能量的需求增加,癌细胞会产生异常的代谢特性。详细评估癌细胞代谢可以为药物发现和个性化癌症治疗的发展提供生物学信息。使用高分辨率魔角旋转(HR MAS)磁共振波谱(MRS)分析完整组织可以提供定性和定量代谢物测量值,而样品制备量最少。多元统计方法是分析复杂磁共振数据的重要工具,近年来已用于分析完整组织的 HR MAS 数据。HR MAS 分析完整组织可以将代谢组学数据与基因组或蛋白质组学数据相结合,因此可用于探索癌症的分子生物学,以及在癌症诊断、预后和治疗计划方面的临床改进。在这篇综述中,介绍了 HR MAS 的基本概念,并讨论了其在癌症代谢特征分析中的应用,特别关注了胆碱代谢和糖酵解等特定途径。还回顾了 HR MAS 在癌症中分析氨基酸和脂质代谢的应用。最后,讨论了 HR-MAS 在代谢特征分析中的预期作用。

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