Evidence map›Paper›PMID 25189715›Full record

ArticleChinese journal of cancer2014

The human application of gene therapy to re-program T-cell specificity using chimeric antigen receptors.

Alan D Guerrero, Judy S Moyes, Laurence J N Cooper

Open access · goldAbstract read
In one paragraph

Article in Chinese journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. In Vivo Hematopoietic Stem Cell Transduction.Hematology/oncology clinics of North America · 2017
    Review
  5. Structural Determinants of Sleeping Beauty Transposase Activity.Molecular therapy : the journal of the American Society of Gene Therapy · 2016
    Article
  6. Review
  7. Cancer immunotherapy.Chinese journal of cancer · 2014
    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

3 authors at 1 institution in 1 country.

Alan D GuerreroDivision of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. ljncooper@mdanderson.org.
Judy S Moyes
Laurence J N Cooper
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adoptive transfer of T cells is a promising approach to treat cancers. Primary human T cells can be modified using viral and non-viral vectors to promote the specific targeting of cancer cells via the introduction of exogenous T-cell receptors (TCRs) or chimeric antigen receptors (CARs). This gene transfer displays the potential to increase the specificity and potency of the anticancer response while decreasing the systemic adverse effects that arise from conventional treatments that target both cancerous and healthy cells. This review highlights the generation of clinical-grade T cells expressing CARs for immunotherapy, the use of these cells to target B-cell malignancies and, particularly, the first clinical trials deploying the Sleeping Beauty gene transfer system, which engineers T cells to target CD19+ leukemia and non-Hodgkin's lymphoma.

Indexed as

Genetic TherapyImmunotherapy, AdoptiveT-LymphocytesB-LymphocytesGenetic VectorsGene Transfer TechniquesHumansLeukemiaLymphoma, B-CellLymphoma, Non-HodgkinNeoplasmsReceptors, AntigenReceptors, Antigen, T-CellReceptors, CCR1T-Cell Antigen Receptor SpecificityCCR1 protein, humanReceptors, AntigenReceptors, Antigen, T-CellReceptors, CCR1

Identifiers

PMID25189715
PMCPMC4190432
OpenAlexW2030242845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.