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Updated: Aug 8, 2025

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
Published on: March 7, 2025
A metabolic intervention strategy to break evolutionary adaptability of tumor for reinforced immunotherapy
Qianhua Feng1,2, Yutong Hao1, Shuaiqi Yang1
1School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Abstract:
The typical hallmark of tumor evolution is metabolic dysregulation. In addition to secreting immunoregulatory metabolites, tumor cells and various immune cells display different metabolic pathways and plasticity. Harnessing the metabolic differences to reduce the tumor and immunosuppressive cells while enhancing the activity of positive immunoregulatory cells is a promising strategy. We develop a nanoplatform (CLCeMOF) based on cerium metal-organic framework (CeMOF) by lactate oxidase (LOX) modification and glutaminase inhibitor (CB839) loading. The cascade catalytic reactions induced by CLCeMOF generate reactive oxygen species "storm" to elicit immune responses. Meanwhile, LOX-mediated metabolite lactate exhaustion relieves the immunosuppressive tumor microenvironment, preparing the ground for intracellular regulation. Most noticeably, the immunometabolic checkpoint blockade therapy, as a result of glutamine antagonism, is exploited for overall cell mobilization. It is found that CLCeMOF inhibited glutamine metabolism-dependent cells (tumor cells, immunosuppressive cells, etc.), increased infiltration of dendritic cells, and especially reprogrammed CD8+ T lymphocytes with considerable metabolic flexibility toward a highly activated, long-lived, and memory-like phenotype. Such an idea intervenes both metabolite (lactate) and cellular metabolic pathway, which essentially alters overall cell fates toward the desired situation. Collectively, the metabolic intervention strategy is bound to break the evolutionary adaptability of tumors for reinforced immunotherapy.
Insights
This study introduces CLCeMOF, a nanoplatform that targets tumor metabolism. It reduces tumor cells and enhances anti-tumor immunity by depleting lactate and blocking glutamine metabolism.
Area of Science:
- Oncology
- Immunology
- Nanotechnology
- Metabolic Engineering
Background:
- Tumor evolution is characterized by metabolic dysregulation, impacting both tumor and immune cells.
- Tumor cells and immune cells exhibit distinct metabolic pathways and plasticity, creating therapeutic opportunities.
- Harnessing metabolic differences offers a strategy to eliminate tumor and immunosuppressive cells while boosting beneficial immune cells.
Purpose of the Study:
- To develop a novel nanoplatform for cancer immunotherapy by targeting tumor cell metabolism.
- To investigate the efficacy of a cerium metal-organic framework (CeMOF)-based nanoplatform (CLCeMOF) in modulating the tumor microenvironment and immune responses.
- To explore the combined strategy of lactate depletion and glutamine antagonism for enhanced cancer treatment.
Main Methods:
- Development of a CLCeMOF nanoplatform by modifying cerium metal-organic framework (CeMOF) with lactate oxidase (LOX) and loading glutaminase inhibitor (CB839).
- Induction of cascade catalytic reactions by CLCeMOF to generate reactive oxygen species and deplete lactate.
- Application of immunometabolic checkpoint blockade therapy via glutamine antagonism.
Main Results:
- CLCeMOF induced a reactive oxygen species 'storm' to elicit immune responses.
- Lactate exhaustion by LOX relieved the immunosuppressive tumor microenvironment.
- CLCeMOF inhibited glutamine metabolism-dependent cells, increased dendritic cell infiltration, and reprogrammed CD8+ T lymphocytes into an activated, long-lived, memory-like phenotype.
Conclusions:
- The CLCeMOF nanoplatform effectively intervenes in both metabolite and cellular metabolic pathways.
- This metabolic intervention strategy alters cell fates, inhibiting tumor growth and enhancing anti-tumor immunity.
- The approach holds promise for breaking tumor evolutionary adaptability and reinforcing immunotherapy.
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