Evidence map›Paper›PMID 41764546›Full record

ReviewJournal of translational medicine2026

Targeting metabolic reprogramming to enhance adoptive immunotherapy: emerging mechanisms and translational perspectives.

Liu Yang, Chengyu Zhang, Zhongxiang Zhang, Songlin Yao, Jing Shen, Zhuo Zhang, Zhangang Xiao, Shurong Wang, Zhigui Wu

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Liu YangDepartment of Pharmacy, Affiliated Hospital Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, 646000, P.R. China.
Chengyu ZhangLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, 1 Xianglin, Road, Luzhou, Sichuan, 646000, P.R. China.
Zhongxiang ZhangDepartment of Pharmacy, Affiliated Hospital Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, 646000, P.R. China.
Songlin YaoDepartment of Pharmacy, Affiliated Hospital Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, 646000, P.R. China.
Jing ShenDepartment of Pharmacy, Affiliated Hospital Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, 646000, P.R. China.
Zhuo ZhangLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, 1 Xianglin, Road, Luzhou, Sichuan, 646000, P.R. China.
Zhangang XiaoLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, 1 Xianglin, Road, Luzhou, Sichuan, 646000, P.R. China. xzg555898@hotmail.com.
Shurong WangDepartment of Pharmacy, Affiliated Hospital Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, 646000, P.R. China. wangshurong011@swmu.edu.cn.
Zhigui WuDepartment of Pharmacy, Affiliated Hospital Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, 646000, P.R. China. zhiguiwu18@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Immunotherapy, AdoptiveMetabolic ReprogrammingTranslational Research, BiomedicalAnimalsHumansNeoplasmsTumor MicroenvironmentAdoptive cell therapyImmune cell metabolismImmune responsesMetabolic reprogrammingTumor microenvironment

Identifiers

PMID41764546
PMCPMC13059335

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Registered trials

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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.