Evidence map›Paper›PMID 41933342›Full record

ReviewCancer cell international2026

CD8

Wenzhi Deng, Chunhong Li, Qiang Wang, Xiulin Jiang, Yongzhi Xie

Abstract readReview
In one paragraph

Review in Cancer cell international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Wenzhi DengDepartment of Pathology, The Third Xiangya Hospital Central South University, Changsha, 410013, China.
Chunhong LiSuining Central Hospital, No. 117 of Deshui South Road, Chuanshan District, Suining, 629000, Sichuan Province, China.
Qiang WangSuining Central Hospital, No. 117 of Deshui South Road, Chuanshan District, Suining, 629000, Sichuan Province, China.
Xiulin JiangCollege of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China. Xiulinjiang17@163.com.
Yongzhi XieDepartment of Radiology, The Third Xiangya Hospital Central South University, Changsha, 410013, China. yzxiexy3@163.com.

Funding

National Natural Science Foundation of China 82501674
6 · The paper itself

Abstract

CD8⁺ T cells are central to adaptive immunity, with their function tightly linked to cellular metabolism. Naïve T cells rely on oxidative phosphorylation, effector T cells shift to aerobic glycolysis for rapid proliferation, and memory T cells depend on fatty acid oxidation and efficient mitochondrial respiration. In chronic infections and tumors, CD8⁺ T cells often enter an exhausted state, marked by sustained inhibitory checkpoint expression, impaired proliferation and cytotoxicity, and a distinct transcriptional profile driven by factors such as TOX. The tumor microenvironment (TME) imposes metabolic constraints-nutrient competition, lipid accumulation, hypoxia, and metabolite stress-promoting exhaustion. Key metabolic dysregulations include reduced glycolysis, mitochondrial dysfunction, lipid-induced ferroptosis, amino acid scarcity, and hypoxia-mediated HIF-1α signaling. These factors create a self-reinforcing metabolic imbalance that limits T cell plasticity and anti-tumor activity. Emerging strategies aim to restore T cell function by targeting metabolism, including enhancing glycolysis and mitochondrial fitness, modulating lipid and amino acid pathways, and combining metabolic interventions with immune checkpoint blockade or adoptive cell therapy. Understanding the interplay between metabolism and T cell exhaustion provides opportunities to improve durable anti-tumor immunity. This review highlights recent advances in CD8⁺ T cell metabolic regulation, the impact of the TME, and therapeutic approaches to reinvigorate exhausted T cells.

Indexed as

CD8⁺ T cellsFatty acid oxidationGlycolysisImmunotherapyMetabolic reprogrammingMitochondrial metabolismT cell exhaustionTumor microenvironment

Identifiers

PMID41933342
PMCPMC13173969

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.