Evidence map›Paper›PMID 33790993›Full record

ReviewExperimental and therapeutic medicine2021

Research advances in chimeric antigen receptor-modified T-cell therapy (Review).

Yuxi Luo, Guiqin Song, Shichu Liang, Feifei Li, Kang Liu

Open access · diamondAbstract readReview
In one paragraph

Review in Experimental and therapeutic medicine, 2021. 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
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 3 institutions in 1 country.

Yuxi LuoInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China.
Guiqin SongDepartment of Biology, North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China.
Shichu LiangThe First Clinic of Anhui Medical University, Hefei, Anhui 230032, P.R. China.
Feifei LiDepartment of Pathophysiology, Anhui Medical University, Hefei, Anhui 230032, P.R. China.
Kang LiuInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, Sichuan 637000, P.R. China.
North Sichuan Medical University · CNAnhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-modified T-cells are T-cells that have been genetically engineered to express CAR molecules to target specific surface antigens on tumor cells. CAR T-cell therapy, a novel cancer immunotherapy, has been attracting increasing attention, since it exhibited notable efficacy in the treatment of hematological tumors in clinical trials. However, for this type of therapy, challenges must be overcome in the treatment of solid tumors. Furthermore, certain side effects associated with CAR T-cell therapy, including cytokine release syndrome, immune effector cell-related neurotoxicity syndrome, tumor lysis syndrome and on-target off-tumor toxicity, must be taken into consideration. The present study provides a systematic review of the principle, clinical application, current challenges, possible solutions and future perspectives for CAR T-cell therapy.

Indexed as

adoptive cellular therapychimeric antigen receptor-modified T-cellsimmunotherapytumor

Identifiers

PMID33790993
PMCPMC8005741
OpenAlexW3138017541

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.