Evidence map›Paper›PMID 19860654›Full record

ReviewCurrent gene therapy2009

Immunotherapy of human cancers using gene modified T lymphocytes.

Juan F Vera, Malcolm K Brenner, Gianpietro Dotti

Open access · greenAbstract readReview
In one paragraph

Review in Current gene therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Review
  6. Immunological Synapse Predicts Effectiveness of Chimeric Antigen Receptor Cells.Molecular therapy : the journal of the American Society of Gene Therapy · 2018
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Engineered T cells for pancreatic cancer treatment.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2011
    Article
  12. Review
  13. Epstein-Barr virus-associated B-cell lymphomas: pathogenesis and clinical outcomes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2011
    Review
  14. Article
  15. Review
  16. Immunotherapy prospects for acute myeloid leukaemia.Clinical and experimental immunology · 2010
    Review
  17. 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.

Juan F VeraCenter for Cell and Gene Therapy, Department of Medicine, Baylor College of Medicine, The Methodist Hospital and Texas Children's Hospital, 6621 Fannin Avenue, Houston, TX 77030, USA.
Malcolm K Brenner
Gianpietro Dotti
Texas Children's Hospital · US

Funding

Tissue ResourceP50CA126752 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MALCOLM K. BRENNER, HELEN E HESLOP · 2007 to 2026
$51.4M
VECTOR PRODUCTIONP01CA094237 · NCI · BAYLOR COLLEGE OF MEDICINE · PI HESLOP, HELEN E, ROONEY, CLIONA M. · 2002 to 2017
$27.8M
NCI NIH HHS P01 CA094237NCI NIH HHS P01CA94237NCI NIH HHS P50 CA126752NCI NIH HHS P50CA126752
6 · The paper itself

Abstract

Adoptive T cell therapies can produce objective clinical responses in patients with hematologic and solid malignancies. Genetic manipulation of T lymphocytes has been proposed as a means of increasing the potency and range of this anti-tumor activity. We now review how coupling expression of transgenic receptors with countermeasures against potent tumor immune evasion strategies is proving highly effective in pre-clinical models and describe how these approaches are being evaluated in human subjects.

Indexed as

Genetic EngineeringImmunotherapyAntigensHumansNeoplasmsT-LymphocytesAntigens

Identifiers

PMID19860654
PMCPMC2952647
OpenAlexW2163884595

What OpenQuestion holds

Textmetadata
LicenceTDM
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.