Evidence map›Paper›PMID 39762081›Full record

ArticleJournal for immunotherapy of cancer2025

Lipid metabolic remodeling delays senescence of T cells to potentiate their immunity against solid tumors.

Yemin Xu, Li Ding, Mengyue Wu, Xiya Wang, Lu Wang, Zhou Xu, Yinhe Xia, Zhennan Cao, Yanqing Zhang, Ruilong Song and 2 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Overcoming T cell exhaustion and senescence in CAR T cell therapy for solid tumors.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Loss of LXRβ Drives CD4Biomedicines · 2026
    Article
  6. Review
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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

12 authors.

Yemin Xu *Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Li Ding *College of Bioscience and Biotechnology, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Mengyue WuDepartment of Anesthesiology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Xiya WangDepartment of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Lu WangDepartment of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Zhou XuQingdao Key Laboratory of Materials for Tissue Repair and Rehabilitation, School of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, People's Republic of China.
Yinhe XiaQingdao Key Laboratory of Materials for Tissue Repair and Rehabilitation, School of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, People's Republic of China.
Zhennan CaoDepartment of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Yanqing ZhangMedical College, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Ruilong SongInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Bin DengDepartment of Gastroenterology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, People's Republic of China gang_chen2015@163.com bdeng@yzu.edu.cn.
Gang ChenQingdao Key Laboratory of Materials for Tissue Repair and Rehabilitation, School of Rehabilitation Sciences and Engineering, University of Health and Rehabilitation Sciences, Qingdao, Shandong, People's Republic of China gang_chen2015@163.com bdeng@yzu.edu.cn.ORCID http://orcid.org/0000-0002-1368-5681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor cells can drive the senescence of effector T cells by unbalancing their lipid metabolism, thereby limiting adoptive T cell therapy and contributing to tumor immune evasion. Our objective is to provide a feasible strategy for enhancing T cell treatment efficacy against solid tumors.

methodsIn this study, liposomal arachidonyl trifluoromethyl ketone (ATK) was anchored onto the adoptive T cell surface via bioorthogonal reactions, aiming to specifically inhibit the group IVA cytosolic phospholipase A

resultsThe surface engineering exerted rare side effects on the activation and migration of T cells, but local and sustained extravasation of ATK downregulated cPLA2α expression, reprogrammed lipid metabolism, and inhibited lipid droplet accumulation. This endows T cells with delayed senescence and declined apoptosis to maintain their tumor-killing potency. Systemic administration of surface-engineered T cells resulted in superior infiltration in solid tumors and improved antitumor efficacy by enhancing the secretion of cytotoxic molecules, thereby prolonging the survival of mice bearing colorectal carcinoma and melanoma xenografts.

conclusionsLipid-metabolically remodeled T cells with delayed senescence increase efficacy in tumor microenvironment, highlighting a novel strategy for solid tumor immunotherapy.

Indexed as

Lipid MetabolismAnimalsCell Line, TumorCellular SenescenceFemaleHumansImmunotherapy, AdoptiveMiceNeoplasmsT-LymphocytesTumor MicroenvironmentAdoptive cell therapy - ACTImmunotherapyNanoparticle

Identifiers

PMID39762081
PMCPMC11749770

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.