Evidence map›Paper›PMID 21083018›Full record

ReviewExpert review of hematology2009

Adoptive T-cell therapy for B-cell malignancies.

Michael Hudecek, Larry D Anderson, Tetsuya Nishida, Stanley R Riddell

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of hematology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 at 3 institutions in 4 countries.

Michael HudecekClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. mhudecek@fhcrc.org
Larry D Anderson
Tetsuya Nishida
Stanley R Riddell
Fred Hutch Cancer Center · USNagoya University · JPThe University of Texas Southwestern Medical Center · US

Funding

VIRUS-MEDIATED MYELOSUPPRESSIONP01CA018029 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Evan Newell · 1985 to 2026
$128.4M
TARGETING ROR1 WITH CHIMERIC ANTIGEN RECEPTOR MODIFIED T CELLSR01CA114536 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Sylvain Simon · 2005 to 2026
$8.4M
Targeted therapy of B cell malignances with CAR-T cells of defined compositionR01CA136551 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JENSEN, MICHAEL C, RIDDELL, STANLEY R. · 2009 to 2018
$5.5M
NCI NIH HHS CA 18029NCI NIH HHS P01 CA018029NCI NIH HHS R01 CA 114536NCI NIH HHS R01 CA114536NCI NIH HHS R01 CA136551
6 · The paper itself

Abstract

The success of allogeneic hematopoietic cell transplantation (HCT) for B-cell malignancies is evidence that these tumors can be eliminated by T lymphocytes. This has encouraged the development of specific adoptive T-cell therapy, both for augmenting the anti-tumor effect of HCT and for patients not undergoing HCT. T cells that are capable of recognizing antigens expressed on malignant B cells may be recruited from the endogenous repertoire or engineered to express tumor-targeting receptors. Critical insights into the qualities of T cells that enable their persistence and function in vivo have been derived, and obstacles to effective T-cell-mediated tumor eradication are being elucidated. These advances provide the tools to translate adoptive T-cell transfer into reliable clinical therapies.

Indexed as

Adoptive TransferAnimalsB-LymphocytesHematologic NeoplasmsHematopoietic Stem Cell TransplantationHumansT-LymphocytesTransplantation, Homologous

Identifiers

PMID21083018
PMCPMC3118544
OpenAlexW2101738485

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.