Evidence map›Paper›PMID 34876185›Full record

ReviewJournal of translational medicine2021

Optimization of metabolism to improve efficacy during CAR-T cell manufacturing.

Meng Zhang, Xin Jin, Rui Sun, Xia Xiong, Jiaxi Wang, Danni Xie, MingFeng Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

56 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
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  15. Novel strategies to manage CAR-T cell toxicity.Nature reviews. Drug discovery · 2025
    Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Metabolism of tumor infiltrating T cells.Frontiers in immunology · 2025
    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

7 authors at 2 institutions in 1 country.

Meng Zhang *First Center Clinical College, Tianjin Medical University, Tianjin, 300192, China.
Xin Jin *Department of Hematology, Tianjin First Central Hospital, Tianjin, 300192, China.
Rui SunDepartment of Hematology, Tianjin First Central Hospital, Tianjin, 300192, China.
Xia XiongFirst Center Clinical College, Tianjin Medical University, Tianjin, 300192, China.
Jiaxi WangFirst Center Clinical College, Tianjin Medical University, Tianjin, 300192, China.
Danni XieFirst Center Clinical College, Tianjin Medical University, Tianjin, 300192, China.
MingFeng ZhaoDepartment of Hematology, Tianjin First Central Hospital, Tianjin, 300192, China. mingfengzhao@sina.com.
Tianjin Medical University · CNTianjin First Center Hospital · CN

Funding

National Natural Science Foundation of China 81970180
6 · The paper itself

Abstract

Chimeric antigen receptor T cell (CAR-T cell) therapy is a relatively new, effective, and rapidly evolving therapeutic for adoptive immunotherapies. Although it has achieved remarkable effect in hematological malignancies, there are some problems that remain to be resolved. For example, there are high recurrence rates and poor efficacy in solid tumors. In this review, we first briefly describe the metabolic re-editing of T cells and the changes in metabolism during the preparation of CAR-T cells. Furthermore, we summarize the latest developments and newest strategies to improve the metabolic adaptability and antitumor activity of CAR-T cells in vitro and in vivo.

Indexed as

Hematologic NeoplasmsNeoplasmsReceptors, Chimeric AntigenHumansImmunotherapy, AdoptiveReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-CellReceptors, Chimeric AntigenCAR-TGlycolysisImmunotherapyMetabolismOXPHOS

Identifiers

PMID34876185
PMCPMC8650271
OpenAlexW4200549204

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.