Evidence map›Paper›PMID 38468489›Full record

ReviewClinical and translational medicine2024

Unlocking the potential of T-cell metabolism reprogramming: Advancing single-cell approaches for precision immunotherapy in tumour immunity.

Lihaoyun Huang, Haitao Li, Cangang Zhang, Quan Chen, Zaoqu Liu, Jian Zhang, Peng Luo, Ting Wei

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Differentiation and mitochondrial metabolic characteristics of CD8Cancer immunology, immunotherapy : CII · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Metabolic Reprogramming of CD4International journal of nanomedicine · 2024
    Article
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

8 authors at 5 institutions in 1 country.

Lihaoyun HuangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0003-3833-9117
Haitao LiDepartment of Oncology, Taishan People's Hospital, Guangzhou, China.
Cangang ZhangDepartment of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Quan ChenDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0003-2401-5349
Zaoqu LiuKey Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.ORCID 0000-0002-0452-742X
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7217-0111
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-8215-2045
Ting WeiDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhujiang Hospital · CNCentral South University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNantong University · CNXi'an Jiaotong University · CN

Funding

Guangdong Basic and Applied Basic Research Foundation (Guangdong-Guangzhou Joint Funds) 2022A1515111212National Natural Science Foundation of China 81772457National Natural Science Foundation of China 81802257National Natural Science Foundation of China 81871859National Natural Science Foundation of China 82172750National Natural Science Foundation of China 82172811National Natural Science Foundation of China 82260546Natural Science Foundation of Guangdong Province 2018A030313846Natural Science Foundation of Guangdong Province 2021A1515012593Science and Technology Planning Project of Guangdong Province 2019A030317020
6 · The paper itself

Abstract

As single-cell RNA sequencing enables the detailed clustering of T-cell subpopulations and facilitates the analysis of T-cell metabolic states and metabolite dynamics, it has gained prominence as the preferred tool for understanding heterogeneous cellular metabolism. Furthermore, the synergistic or inhibitory effects of various metabolic pathways within T cells in the tumour microenvironment are coordinated, and increased activity of specific metabolic pathways generally corresponds to increased functional activity, leading to diverse T-cell behaviours related to the effects of tumour immune cells, which shows the potential of tumour-specific T cells to induce persistent immune responses. A holistic understanding of how metabolic heterogeneity governs the immune function of specific T-cell subsets is key to obtaining field-level insights into immunometabolism. Therefore, exploring the mechanisms underlying the interplay between T-cell metabolism and immune functions will pave the way for precise immunotherapy approaches in the future, which will empower us to explore new methods for combating tumours with enhanced efficacy.

Indexed as

NeoplasmsT-LymphocytesHumansImmunotherapyMetabolic Networks and PathwaysMetabolic ReprogrammingTumor Microenvironmentimmunotherapymetabolic reprogrammingsingle-cell RNA sequencingT-cell metabolismtumour immunity

Identifiers

PMID38468489
PMCPMC10928360
OpenAlexW4392714790

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.