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Metabolic-immune axis in the tumor microenvironment: a new strategy for prognostic assessment and precision therapy in DLBCL and FL.

作者信息

Chen Chengqian, Guo Wei, Wang Haotian, Cao Luming, Bai Ou

机构信息

Department of Hematology,The First Hospital of Jilin University, Changchun, China.

出版信息

Front Immunol. 2025 Oct 1;16:1659011. doi: 10.3389/fimmu.2025.1659011. eCollection 2025.

Abstract

Diffuse large B-cell lymphoma and follicular lymphoma exhibit complex metabolic and immune microenvironments that influence disease progression and treatment response. Metabolic reprogramming, including glycolysis, amino acid, and lipid metabolism, supports tumor growth while suppressing anti-tumor immunity. Immune components such as tumor-infiltrating lymphocytes and checkpoint molecules (PD-L1, LAG-3, TIM-3) further modulate prognosis. Elevated tumor metabolic volume and glycolytic activity correlate with aggressive disease and poor outcomes. Conversely, high TIL density often predicts better responses. Integrating metabolic and immune biomarkers enhances risk stratification and therapeutic strategies, highlighting the potential for combined metabolic inhibitors and immunotherapies to improve precision medicine in lymphoma.

摘要

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