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代谢组学与其他组学的整合:对理解前列腺癌的见解

The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer.

作者信息

Resurreccion Eleazer P, Fong Ka-Wing

机构信息

Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40506, USA.

Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA.

出版信息

Metabolites. 2022 May 27;12(6):488. doi: 10.3390/metabo12060488.

Abstract

Our understanding of prostate cancer (PCa) has shifted from solely caused by a few genetic aberrations to a combination of complex biochemical dysregulations with the prostate metabolome at its core. The role of metabolomics in analyzing the pathophysiology of PCa is indispensable. However, to fully elucidate real-time complex dysregulation in prostate cells, an integrated approach based on metabolomics and other omics is warranted. Individually, genomics, transcriptomics, and proteomics are robust, but they are not enough to achieve a holistic view of PCa tumorigenesis. This review is the first of its kind to focus solely on the integration of metabolomics with multi-omic platforms in PCa research, including a detailed emphasis on the metabolomic profile of PCa. The authors intend to provide researchers in the field with a comprehensive knowledge base in PCa metabolomics and offer perspectives on overcoming limitations of the tool to guide future point-of-care applications.

摘要

我们对前列腺癌(PCa)的理解已从仅由少数基因畸变引起,转变为以前列腺代谢组为核心的复杂生化失调的组合。代谢组学在分析PCa病理生理学中的作用不可或缺。然而,为了全面阐明前列腺细胞中的实时复杂失调,基于代谢组学和其他组学的综合方法是必要的。单独来看,基因组学、转录组学和蛋白质组学都很强大,但它们不足以实现对PCa肿瘤发生的整体看法。这篇综述是同类综述中第一篇专门关注PCa研究中代谢组学与多组学平台整合的综述,包括对PCa代谢组学特征的详细阐述。作者旨在为该领域的研究人员提供PCa代谢组学的全面知识库,并就克服该工具的局限性提供观点,以指导未来的即时医疗应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364d/9230859/fe3c669400ef/metabolites-12-00488-g001.jpg

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