Metabolic reprogramming drives the development of an immunosuppressive tumor microenvironment (TME) through various pathways, contributing to cancer progression and reducing the effectiveness of anticancer immunotherapy. However, our understanding of the metabolic landscape within the tumor-immune context has been limited by conventional metabolic measurements, which have not provided comprehensive insights into the spatiotemporal heterogeneity of metabolism within TME. The emergence of single-cell, spatial, and in vivo metabolomic technologies has now enabled detailed and unbiased analysis, revealing unprecedented spatiotemporal heterogeneity that is particularly valuable in the field of cancer immunology. This review summarizes the methodologies of metabolomics and metabolic regulomics that can be applied to the study of cancer-immunity across single-cell, spatial, and in vivo dimensions, and systematically assesses their benefits and limitations.

中文翻译：

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癌症免疫全景的时空代谢组学方法：方法论视角


代谢重编程通过各种途径驱动免疫抑制肿瘤微环境（TME）的发展，促进癌症进展并降低抗癌免疫疗法的有效性。然而，我们对肿瘤免疫背景下代谢景观的理解受到传统代谢测量的限制，这些测量并没有提供对 TME 内代谢时空异质性的全面见解。单细胞、空间和体内代谢组学技术的出现现在使得详细且公正的分析成为可能，揭示了前所未有的时空异质性，这在癌症免疫学领域特别有价值。本综述总结了可应用于单细胞、空间和体内维度的癌症免疫研究的代谢组学和代谢调节组学方法，并系统地评估了它们的益处和局限性。