Evidence map›Paper›PMID 23934177›Full record

ArticleNature biotechnology2013

Generation of tumor-targeted human T lymphocytes from induced pluripotent stem cells for cancer therapy.

Maria Themeli, Christopher C Kloss, Giovanni Ciriello, Victor D Fedorov, Fabiana Perna, Mithat Gonen, Michel Sadelain

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers.

0numbers the graph read from it
0cells of the map it votes in
306citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

306 citing papers in PubMed, 463 citations in OpenAlex.

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  12. In Vivo T-Cell Engineering: Revolution in Delivery Strategies and Clinical Translation.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
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246 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Maria ThemeliCenter for Cell Engineering, Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Christopher C Kloss
Giovanni Ciriello
Victor D Fedorov
Fabiana Perna
Mithat Gonen
Michel Sadelain
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Progress in adoptive T-cell therapy for cancer and infectious diseases is hampered by the lack of readily available, antigen-specific, human T lymphocytes. Pluripotent stem cells could provide an unlimited source of T lymphocytes, but the therapeutic potential of human pluripotent stem cell-derived lymphoid cells generated to date remains uncertain. Here we combine induced pluripotent stem cell (iPSC) and chimeric antigen receptor (CAR) technologies to generate human T cells targeted to CD19, an antigen expressed by malignant B cells, in tissue culture. These iPSC-derived, CAR-expressing T cells display a phenotype resembling that of innate γδ T cells. Similar to CAR-transduced, peripheral blood γδ T cells, the iPSC-derived T cells potently inhibit tumor growth in a xenograft model. This approach of generating therapeutic human T cells 'in the dish' may be useful for cancer immunotherapy and other medical applications.

Indexed as

AnimalsAntigens, CD19Cell DifferentiationCell ProliferationChromium RadioisotopesCluster AnalysisHumansInduced Pluripotent Stem CellsMaleMiceNeoplasmsPhenotypeProtein EngineeringReceptors, AntigenT-LymphocytesAntigens, CD19Chromium RadioisotopesReceptors, Antigen

Identifiers

PMID23934177
PMCPMC5722218
OpenAlexW1991494425

What OpenQuestion holds

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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.