Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China.
Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China.
Mol Cancer. 2024 Sep 18;23(1):202. doi: 10.1186/s12943-024-02113-9.
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.
代谢重编程通过多种途径驱动免疫抑制性肿瘤微环境（TME）的发展，促进癌症进展并降低抗癌免疫疗法的效果。然而，由于传统代谢测量方法的限制，我们对肿瘤-免疫环境内的代谢景观的理解一直受到限制，这些方法无法全面了解 TME 内代谢的时空异质性。单细胞、空间和体内代谢组学技术的出现现在使详细和无偏的分析成为可能，揭示了前所未有的时空异质性，这在癌症免疫学领域尤为有价值。本综述总结了可应用于单细胞、空间和体内维度研究癌症免疫的代谢组学和代谢调控组学方法，并系统地评估了它们的优势和局限性。
