Evidence map›Paper›PMID 32201711›Full record

ArticleMolecular therapy. Methods & clinical development2020

Optimized Assessment of qPCR-Based Vector Copy Numbers as a Safety Parameter for GMP-Grade CAR T Cells and Monitoring of Frequency in Patients.

Alexander Kunz, Ulrike Gern, Anita Schmitt, Brigitte Neuber, Lei Wang, Angela Hückelhoven-Krauss, Birgit Michels, Susanne Hofmann, Carsten Müller-Tidow, Peter Dreger and 2 more

Abstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  18. Finding Your CAR: The Road Ahead for Engineered T Cells.The American journal of pathology · 2024
    Review
  19. Frontiers in immunology · 2024
    Article
  20. 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

12 authors.

Alexander KunzDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Ulrike GernDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Anita SchmittDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Brigitte NeuberDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Lei WangDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Angela Hückelhoven-KraussDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Birgit MichelsDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Susanne HofmannDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Carsten Müller-TidowDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Peter DregerDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Michael SchmittDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.
Maria-Luisa SchubertDepartment of Internal Medicine V (Hematology/Oncology/Rheumatology), University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T cells are considered genetically modified organisms (GMOs) and constitute gene therapy medicinal products. Thus, CAR T cell manufacturing for clinical application is strictly regulated. Appropriate methods to assess vector copy numbers (VCNs) in CAR T cell products and monitoring of CAR T cell frequencies in patients are required. Quantitative polymerase chain reaction (qPCR) is the preferred method for VCN assessment. However, no standardized procedure with high reproducibility has been described yet. Here, we report on a single copy gene (SCG)-based duplex (DP)-qPCR assay (SCG-DP-PCR) to determine VCN in CAR T cell products. SCG-DP-PCR was validated and compared to the absolute standard curve method (ACM) within the framework of a clinical trial treating patients with good manufacturing practice (GMP)-grade CAR T cells at the University Hospital Heidelberg. Methodologically, SCG-DP-PCR displayed technical advantages over ACM and minimized mathematical analysis. SCG-DP-PCR, as a highly reproducible approach, can be used for clinical follow-up of patients treated with CAR T cells or other GMOs and might replace established methods for VCN quantification. This work will enable clinicians to assess VCN, as well as CAR T cell frequencies, in patients as a basis for decisions on subsequent therapies, including repeated CAR T cell administration.

Indexed as

CAR T cell monitoringCAR T cellsqPCRsingle-copy genevector copy number

Identifiers

PMID32201711
PMCPMC7078460

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Registered trials

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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.