Evidence map›Paper›PMID 32384903›Full record

ArticleJournal of translational medicine2020

Application of droplet digital PCR for the detection of vector copy number in clinical CAR/TCR T cell products.

Alex Lu, Hui Liu, Rongye Shi, Yihua Cai, Jinxia Ma, Lipei Shao, Victor Rong, Nikolaos Gkitsas, Hong Lei, Steven L Highfill and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  4. Impact of vector copy number on critical quality attributes of retrovirally engineered T cells.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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  20. The Evolving Landscape of Potency Assays.Advances in experimental medicine and biology · 2023
    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

13 authors at 1 institution in 1 country.

Alex LuCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Hui LiuCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Rongye ShiCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Yihua CaiCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Jinxia MaCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Lipei ShaoCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Victor RongCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Nikolaos GkitsasCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Hong LeiCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Steven L HighfillCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Sandhya PanchCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
David F StroncekCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA.
Ping JinCenter for Cellular Engineering, Department of Transfusion Medicine and Cellular Engineering, NIH Clinical Center, Bethesda, MD, USA. pjin@cc.nih.gov.
National Institutes of Health Clinical Center · US

Funding

Protective Role of Nonclassical Monocytes in Immunotherapies for Solid CancersU01CA224766 · NCI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI HEDRICK, CATHERINE C, KAPLAN, ROSANDRA · 2018 to 2021
$1.4M
Develop novel assays for assessing cellular and gene therapiesZIACL002119 · CLC · CLINICAL CENTER · PI STRONCEK, DAVID · 2010 to 2025
$0k
NCI NIH HHS U01 CA224766
6 · The paper itself

Abstract

backgroundGenetically engineered T cells have become an important therapy for B-cell malignancies. Measuring the efficiency of vector integration into the T cell genome is important for assessing the potency and safety of these cancer immunotherapies.

methodsA digital droplet polymerase chain reaction (ddPCR) assay was developed and evaluated for assessing the average number of lenti- and retroviral vectors integrated into Chimeric Antigen Receptor (CAR) and T Cell Receptor (TCR)-engineered T cells.

resultsThe ddPCR assay consistently measured the concentration of an empty vector in solution and the average number of CAR and TCR vectors integrated into T cell populations. There was a linear relationship between the average vector copy number per cell measured by ddPCR and the proportion of cells transduced as measured by flow cytometry. Similar vector copy number measurements were obtained by different staff using the ddPCR assay, highlighting the assays reproducibility among technicians. Analysis of fresh and cryopreserved CAR T and TCR engineered T cells yielded similar results.

conclusionsddPCR is a robust tool for accurate quantitation of average vector copy number in CAR and TCR engineered T cells. The assay is also applicable to other types of genetically engineered cells including Natural Killer cells and hematopoietic stem cells.

Indexed as

Receptors, Chimeric AntigenDNA Copy Number VariationsHumansImmunotherapy, AdoptivePolymerase Chain ReactionReproducibility of ResultsT-LymphocytesReceptors, Chimeric AntigenCellular cancer immunotherapyChimeric antigen receptor (CAR) T cellsDroplet digital PCRGene therapyGenetically engineered T cellsT Cell Receptor (TCR)-engineered T cellsVector copy number

Identifiers

PMID32384903
PMCPMC7206671
OpenAlexW3023092348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.