Evidence map›Paper›PMID 36231064›Full record

ReviewCells2022

Reprogramming T-Cell Metabolism for Better Anti-Tumor Immunity.

Yu Ping, Chunyi Shen, Bo Huang, Yi Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Modulating lipid metabolism improves tumor immunotherapy.Journal for immunotherapy of cancer · 2025
    Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
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  11. 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

4 authors at 2 institutions in 1 country.

Yu PingBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Chunyi ShenBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Bo HuangDepartment of Immunology & National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College, Beijing 100005, China.
Yi ZhangBiotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.ORCID 0000-0001-9861-4681
First Affiliated Hospital of Zhengzhou University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells play central roles in the anti-tumor immunity, whose activation and differentiation are profoundly regulated by intrinsic metabolic reprogramming. Emerging evidence has revealed that metabolic processes of T cells are generally altered by tumor cells or tumor released factors, leading to crippled anti-tumor immunity. Therefore, better understanding of T cell metabolic mechanism is crucial in developing the next generation of T cell-based anti-tumor immunotherapeutics. In this review, we discuss how metabolic pathways affect T cells to exert their anti-tumor effects and how to remodel the metabolic programs to improve T cell-mediated anti-tumor immune responses. We emphasize that glycolysis, carboxylic acid cycle, fatty acid oxidation, cholesterol metabolism, amino acid metabolism, and nucleotide metabolism work together to tune tumor-reactive T-cell activation and proliferation.

Indexed as

NeoplasmsT-LymphocytesAmino AcidsCarboxylic AcidsCholesterolFatty AcidsHumansNucleotidesAmino AcidsCarboxylic AcidsCholesterolFatty AcidsNucleotidesanti-tumor functionT cellT cell metabolismtumor microenvironment

Identifiers

PMID36231064
PMCPMC9562038
OpenAlexW4303628250

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.