Evidence mapPaperPMID 38436882Full record

ReviewHuman cell2024

Transcription factors in chimeric antigen receptor T-cell development.

Anran Dai, Xiangzhi Zhang, Xiaoyan Wang, Guodong Liu, Qiang Wang, Feng Yu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Human cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Anran DaiSchool of Life Sciences, Jiangsu University, Zhenjiang, 212013, China.
Xiangzhi ZhangSchool of Life Sciences, Jiangsu University, Zhenjiang, 212013, China.
Xiaoyan WangDepartment of Gastroenterology, Suqian First People's Hospital, Suqian, 223800, Jiangsu, China.
Guodong LiuDepartment of General Surgery, Suqian First People's Hospital, Suqian, 223800, Jiangsu, China.
Qiang WangSchool of Life Sciences, Jiangsu University, Zhenjiang, 212013, China.
Feng YuSchool of Life Sciences, Jiangsu University, Zhenjiang, 212013, China. yufeng@ujs.edu.cn.ORCID http://orcid.org/0000-0002-1929-3881
Jiangsu University · CN

Funding

Suqian Sci & Tech Program K202014Suqian Sci & Tech Program S202006
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cell therapy is a new and innovative approach to treating cancers that has shown promising results in the treatment of lymphoma. However, it has been found to be less effective in the treatment of solid tumors. To overcome the limitation, researchers have explored the use of combined CAR-T therapy with other complementary regimens that target specific genes or biomarkers, which would enhance the synergistic therapeutic effects. Transcription factors (TFs) have been identified as potential markers that can regulate gene expression in CAR-T cells to enhance their cytotoxicity and safety. TFs are known to bind DNA specifically and recruit cofactor proteins to regulate the expression of target genes. By targeting TFs, it is possible to improve the anti-tumor response of CAR-T cells by altering their phenotype and transcriptional map, thereby increasing their effector function, such as reducing the exhaustion, enhancing the survival, and cytotoxicity of CAR-T cells. This review summarizes the application of transcription factors in CART therapy to enhance the synergistic therapeutic effect of CAR-T cells in the treatment of solid tumors and improve their anti-tumor responses.

Indexed as

NeoplasmsReceptors, Chimeric AntigenHumansImmunotherapy, AdoptiveT-LymphocytesTranscription FactorsReceptors, Chimeric AntigenTranscription FactorsCARTSolid tumorsTranscription factors

Identifiers

PMID38436882
OpenAlexW4392378264

What Socratic holds

Textmetadata
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.