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Spatiotemporal Metabolomic Approaches to the Cancer-immunity Panorama: a Methodological Perspective

Overview
Journal Mol Cancer
Publisher Biomed Central
Date 2024 Sep 18
PMID 39294747
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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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References
1.
Xu Y, Su G, Ma D, Xiao Y, Shao Z, Jiang Y . Technological advances in cancer immunity: from immunogenomics to single-cell analysis and artificial intelligence. Signal Transduct Target Ther. 2021; 6(1):312. PMC: 8377461. DOI: 10.1038/s41392-021-00729-7. View

2.
Liu X, Hoft D, Peng G . Tumor microenvironment metabolites directing T cell differentiation and function. Trends Immunol. 2022; 43(2):132-147. PMC: 8810659. DOI: 10.1016/j.it.2021.12.004. View

3.
Kompauer M, Heiles S, Spengler B . Atmospheric pressure MALDI mass spectrometry imaging of tissues and cells at 1.4-μm lateral resolution. Nat Methods. 2016; 14(1):90-96. DOI: 10.1038/nmeth.4071. View

4.
Liu Y, Yang M, Deng Y, Su G, Enninful A, Guo C . High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue. Cell. 2020; 183(6):1665-1681.e18. PMC: 7736559. DOI: 10.1016/j.cell.2020.10.026. View

5.
Hu Y, Xie M, Li Y, Rao M, Shen W, Luo C . Benchmarking clustering, alignment, and integration methods for spatial transcriptomics. Genome Biol. 2024; 25(1):212. PMC: 11312151. DOI: 10.1186/s13059-024-03361-0. View