Evidence map›Paper›PMID 38456710›Full record

ReviewMolecular oncology2024

Advanced strategies in improving the immunotherapeutic effect of CAR-T cell therapy.

Minmin Wang, Linzi Jia, Xiangpeng Dai, Xiaoling Zhang

Abstract readReview
In one paragraph

Review in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Minmin WangKey Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China.
Linzi JiaDepartment of General Medicine, Shanxi Province Cancer Hospital, Taiyuan, China.
Xiangpeng DaiKey Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China.ORCID 0000-0003-4252-3195
Xiaoling ZhangKey Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China.

Funding

National Natural Science Foundation of China 81802815National Natural Science Foundation of China 81972558National Natural Science Foundation of China 82273137Natural Science Foundation of Jilin Province 20200201367JCNatural Science Foundation of Jilin Province 20200201473JCNatural Science Foundation of Jilin Province 20210204
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR-T) cell therapy is a newly developed immunotherapy strategy and has achieved satisfactory outcomes in the treatment of hematological malignancies. However, some adverse effects related to CAR-T cell therapy have to be resolved before it is widely used in clinics as a cancer treatment. Furthermore, the application of CAR-T cell therapy in the treatment of solid tumors has been hampered by numerous limitations. Therefore, it is essential to explore novel strategies to improve the therapeutic effect of CAR-T cell therapy. In this review, we summarized the recently developed strategies aimed at optimizing the generation of CAR-T cells and improving the anti-tumor efficiency of CAR-T cell therapy. Furthermore, the discovery of new targets for CAR-T cell therapy and the combined treatment strategies of CAR-T cell therapy with chemotherapy, radiotherapy, cancer vaccines and nanomaterials are highlighted.

Indexed as

Immunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenAnimalsCancer VaccinesCombined Modality TherapyHumansImmunotherapyT-LymphocytesCancer VaccinesReceptors, Chimeric Antigencancer vaccineCAR‐T cellcombined therapyCRISPR/Cas9immunotherapytumor microenvironment

Identifiers

PMID38456710
PMCPMC11306536

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.