ReviewJournal of translational medicine2026
Targeting metabolic reprogramming to enhance adoptive immunotherapy: emerging mechanisms and translational perspectives.
Review in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Short-Chain Fatty Acids at the Crossroads of Microbiota, Immunometabolism, and Inflammation.Biomedicines · 2026Review
- Inflammatory Memory of Adipose Tissue Macrophages: From CD68 Footprint to Cardiometabolic and Cancer Risk During Weight Cycling.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdoptive cell therapy (ACT) has achieved breakthrough advances in the treatment of malignancies, demonstrating particularly remarkable efficacy in hematologic cancers. However, the therapeutic efficacy of ACT remains limited by multiple factors, including low tumor antigen expression, the limited in vivo persistence of infused immune cells, and the immunosuppressive characteristics of the tumor microenvironment (TME). Meanwhile, metabolic reprogramming, a hallmark of cancer, plays a pivotal role in immune cells by directly regulating their differentiation, functional states, and long-term survival. Metabolic stress within the TME, including hypoxia, nutrient competition, and accumulation of metabolic byproducts, reshapes the metabolic states of T cells, natural killer (NK) cells, and macrophages, thereby profoundly affecting their activation, effector functions, and in vivo persistence. Consequently, a systematic understanding of how metabolic reprogramming regulates immune cell function is crucial for overcoming the current therapeutic limitations of ACT. MAIN BODY: This review systematically summarizes the metabolic constraints faced by immune effector cells in ACT and the strategies to modulate them, with a particular focus on the impact of glycolysis, lipid metabolism, amino acid homeostasis, and mitochondrial function on immune cell differentiation, effector functions, and in vivo persistence. In addition, it provides a comprehensive discussion of potential approaches to target metabolic reprogramming through pharmacological interventions and genetic engineering, aiming to overcome the metabolic limitations imposed by the TME and enhance the antitumor efficacy of ACT.
conclusionWhile merely enhancing glycolysis can transiently increase the cytotoxic activity of immune effector cells, it often leads to metabolic exhaustion and reduced persistence. In contrast, optimizing mitochondrial function, boosting oxidative phosphorylation and fatty acid oxidation, and maintaining metabolic flexibility are more conducive to promoting memory-like phenotypes and supporting long-term survival and functional maintenance of immune cells in vivo. Future studies should integrate genetic engineering with metabolic interventions to optimize the antitumor activity of ACT in solid tumors and complex tumor microenvironments, thereby providing a theoretical foundation and translational pathway for the development of next-generation, safe and efficacious ACT therapies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.