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从代谢组学到更广阔的领域:研究癌症代谢的技术组合。

To metabolomics and beyond: a technological portfolio to investigate cancer metabolism.

机构信息

Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biochemistry, University of Verona, Verona, Italy.

Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

出版信息

Signal Transduct Target Ther. 2023 Mar 22;8(1):137. doi: 10.1038/s41392-023-01380-0.

Abstract

Tumour cells have exquisite flexibility in reprogramming their metabolism in order to support tumour initiation, progression, metastasis and resistance to therapies. These reprogrammed activities include a complete rewiring of the bioenergetic, biosynthetic and redox status to sustain the increased energetic demand of the cells. Over the last decades, the cancer metabolism field has seen an explosion of new biochemical technologies giving more tools than ever before to navigate this complexity. Within a cell or a tissue, the metabolites constitute the direct signature of the molecular phenotype and thus their profiling has concrete clinical applications in oncology. Metabolomics and fluxomics, are key technological approaches that mainly revolutionized the field enabling researchers to have both a qualitative and mechanistic model of the biochemical activities in cancer. Furthermore, the upgrade from bulk to single-cell analysis technologies provided unprecedented opportunity to investigate cancer biology at cellular resolution allowing an in depth quantitative analysis of complex and heterogenous diseases. More recently, the advent of functional genomic screening allowed the identification of molecular pathways, cellular processes, biomarkers and novel therapeutic targets that in concert with other technologies allow patient stratification and identification of new treatment regimens. This review is intended to be a guide for researchers to cancer metabolism, highlighting current and emerging technologies, emphasizing advantages, disadvantages and applications with the potential of leading the development of innovative anti-cancer therapies.

摘要

肿瘤细胞具有极高的代谢灵活性,能够重新编程其代谢以支持肿瘤的起始、进展、转移和对治疗的耐药性。这些重编程的活动包括对生物能量学、生物合成和氧化还原状态的全面重新布线,以维持细胞增加的能量需求。在过去的几十年中,癌症代谢领域出现了新的生化技术的爆炸式增长,为我们提供了比以往任何时候都更多的工具来应对这种复杂性。在细胞或组织内,代谢物构成了分子表型的直接特征,因此它们的分析在肿瘤学中有具体的临床应用。代谢组学和通量组学是关键的技术方法,主要使该领域发生了革命性变化,使研究人员能够对癌症的生化活性进行定性和机制模型研究。此外,从批量分析到单细胞分析技术的升级提供了前所未有的机会,使我们能够在细胞分辨率下研究癌症生物学,从而对复杂和异质疾病进行深入的定量分析。最近,功能基因组筛选的出现使得能够鉴定分子途径、细胞过程、生物标志物和新的治疗靶点,这些与其他技术一起,使患者分层和新治疗方案的确定成为可能。这篇综述旨在为癌症代谢领域的研究人员提供指南,重点介绍当前和新兴技术,强调其优缺点和应用,有可能推动创新抗癌疗法的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8145/10033890/d004fece65b0/41392_2023_1380_Fig1_HTML.jpg

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