REVIEW article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
The Metabolism-Immune Axis in Colorectal Cancer: Remodeling the Tumor Microenvironment through Metabolite Signaling
Provisionally accepted- 1Chongqing University, Chongqing, China
- 2Jinfeng Laboratory, Chongqing, China
- 3Southwest Medical University, Luzhou, China
- 4Army Medical University, Chongqing, China
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Metabolic reprogramming is a defining hallmark of tumors, and plays a pivotal role in sustaining malignant growth by rewiring core bioenergetic and biosynthetic pathways. Beyond supporting tumor cell proliferation, survival, and metastasis, it profoundly shapes the tumor microenvironment through nutrient competition, accumulation of immunosuppressive metabolites, and modulation of immune cell function, thereby facilitating immune evasion and therapy resistance. This review comprehensively elaborates on metabolic reprogramming in colorectal cancer, covering key alterations in glucose metabolism (Warburg effect), tricarboxylic acid cycle remodeling, lipid biosynthesis/oxidation, cholesterol metabolism, and amino acid (glutamine, methionine, tryptophan, arginine) metabolism. It further dissects how these metabolic shifts impact the tumor microenvironment in colorectal cancer, including their effects on effector immune cells (CD8⁺ T cells, NK cells), immunosuppressive populations (Tregs, MDSCs, M2-TAMs), and antigen-presenting cells. Additionally, this review highlights the role of the gut microbiota and their metabolites (e.g., SCFAs, secondary bile acids and indoles) in remodeling the immune microenvironment via metabolic crosstalk. Overall, this work provides a comprehensive understanding of CRC metabolic reprogramming and its microenvironmental impacts, offering critical insights to guide the development of novel metabolism-targeted therapeutic strategies for CRC.
Keywords: colorectal cancer (CRC), metabolic reprogramming, Tumor Microenvironment, Immune Evasion, Gut Microbiota, Metabolism-targeted therapy
Received: 30 Oct 2025; Accepted: 17 Nov 2025.
Copyright: © 2025 Hu, Heng, Yang, Wang, Liu, Xiang and Miao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Guoxiang Liu, liuguoxiang927@126.com
Yuancai Xiang, yuancaix@swmu.edu.cn
Hongming Miao, hongmingmiao@sina.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
