Spatiotemporal metabolomic approaches to the cancer-immunity panorama: a methodological perspective

IF 27.7 1区医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular Cancer Pub Date : 2024-09-18 DOI:10.1186/s12943-024-02113-9

Yang Xiao, Yongsheng Li, Huakan Zhao

引用次数: 0

Abstract

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.

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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推动免疫抑制性肿瘤微环境（TME）的发展，导致癌症进展并降低抗癌免疫疗法的效果。然而，我们对肿瘤免疫环境中代谢情况的了解一直受限于传统的代谢测量方法，无法全面了解肿瘤微环境中代谢的时空异质性。现在，单细胞、空间和体内代谢组学技术的出现使详细和无偏见的分析成为可能，揭示了前所未有的时空异质性，这在癌症免疫学领域尤为重要。本综述总结了可应用于单细胞、空间和体内癌症免疫研究的代谢组学和代谢调控组学方法，并系统评估了它们的优势和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Molecular Cancer 医学-生化与分子生物学

CiteScore

54.90

自引率

2.70%

发文量

224

审稿时长

2 months

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