{"title":"Deciphering metabolic reprogramming of immune cells within the tumor microenvironment.","authors":"Yinping Wang, Weijie Chen, Zida Wang, Siwen Cai, Xinnan Zhao, Jingsi Jin, Ting Gao, Junwen Qu","doi":"10.1186/s12967-025-07069-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Immunometabolic adaptations may induce tumor immune escape and immunotherapeutic resistance, representing crucial mechanisms in cancer progression. Understanding the metabolic rewiring of tumor-infiltrating immune cells as tumors advance could enhance current immune-oncology treatments.</p><p><strong>Methods: </strong>In this study, we investigated metabolic heterogeneity in immune cells within both tumor and adjacent normal tissue using single-cell transcriptome profiling of colon cancer. We also utilized the MC38 colorectal cancer model, a commonly employed mouse tumor model, to assess the metabolic atlas of major immune cell populations in tumor and normal tissue.</p><p><strong>Results: </strong>We examined the immunometabolic features in tumor tissue and adjacent normal tissue using public single-cell transcriptomic datasets of colorectal cancer (CRC) patients, in which myeloid cells showed dominant metabolic activity. Using a mouse tumor model, we demonstrated distinct metabolic reprogramming of major immune cell types in tumor compared to normal tissue. Specifically, we observed increased glucose and lipid uptake, along with abundant lipid accumulation in tumor-infiltrating myeloid cells, particularly macrophages. Additionally, we identified diverse mitochondrial fitness and oxidative stress levels within the tumor immune microenvironment. Macrophages exhibited metabolic fitness, CD8<sup>+</sup> T cells displayed mitochondrial depolarization, and neutrophils showed high oxidative stress. Furthermore, we investigated immunometabolic dynamics and observed augmented metabolic activity in immune cells infiltrating progressive and late stages of tumor development. Notably, intratumoral macrophages exhibited metabolic heterogeneity, characterized by robust lipid uptake and synthesis, which correlated with a pro-tumor phenotype and poor clinical outcomes.</p><p><strong>Conclusion: </strong>Overall, our study unveils the heterogeneity and dynamics of metabolic properties in immune cells within the tumor microenvironment. These findings provide insights for developing therapeutic strategies that target metabolism to enhance antitumor immunity.</p>","PeriodicalId":17458,"journal":{"name":"Journal of Translational Medicine","volume":"23 1","pages":"1055"},"PeriodicalIF":7.5000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502548/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12967-025-07069-y","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Immunometabolic adaptations may induce tumor immune escape and immunotherapeutic resistance, representing crucial mechanisms in cancer progression. Understanding the metabolic rewiring of tumor-infiltrating immune cells as tumors advance could enhance current immune-oncology treatments.
Methods: In this study, we investigated metabolic heterogeneity in immune cells within both tumor and adjacent normal tissue using single-cell transcriptome profiling of colon cancer. We also utilized the MC38 colorectal cancer model, a commonly employed mouse tumor model, to assess the metabolic atlas of major immune cell populations in tumor and normal tissue.
Results: We examined the immunometabolic features in tumor tissue and adjacent normal tissue using public single-cell transcriptomic datasets of colorectal cancer (CRC) patients, in which myeloid cells showed dominant metabolic activity. Using a mouse tumor model, we demonstrated distinct metabolic reprogramming of major immune cell types in tumor compared to normal tissue. Specifically, we observed increased glucose and lipid uptake, along with abundant lipid accumulation in tumor-infiltrating myeloid cells, particularly macrophages. Additionally, we identified diverse mitochondrial fitness and oxidative stress levels within the tumor immune microenvironment. Macrophages exhibited metabolic fitness, CD8+ T cells displayed mitochondrial depolarization, and neutrophils showed high oxidative stress. Furthermore, we investigated immunometabolic dynamics and observed augmented metabolic activity in immune cells infiltrating progressive and late stages of tumor development. Notably, intratumoral macrophages exhibited metabolic heterogeneity, characterized by robust lipid uptake and synthesis, which correlated with a pro-tumor phenotype and poor clinical outcomes.
Conclusion: Overall, our study unveils the heterogeneity and dynamics of metabolic properties in immune cells within the tumor microenvironment. These findings provide insights for developing therapeutic strategies that target metabolism to enhance antitumor immunity.
期刊介绍:
The Journal of Translational Medicine is an open-access journal that publishes articles focusing on information derived from human experimentation to enhance communication between basic and clinical science. It covers all areas of translational medicine.