Evidence map›Paper›PMID 40236328›Full record

ArticleImmuno-oncology technology2025

An adjusted droplet digital PCR assay for quantification of vector copy number in CAR-T cell and TCR-T cell products.

J Ma, S Meyer, J Olweus, C Jin, D Yu

Abstract read
In one paragraph

Article in Immuno-oncology technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

J MaDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
S MeyerDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
J OlweusDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
C JinDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
D YuDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genetically engineered T-cell therapy holds immense promise in cancer immunotherapy. These T-cell products are typically engineered by vectors that permanently integrate into the T-cell genome, thus raising concerns about potential risks of insertional mutagenesis. Therefore, it becomes imperative to assess the integrated vector copy number (VCN) as a critical safety parameter for gene-engineered cell products. Materials and methods: In this study, we developed a robust assay for assessing the VCN of chimeric antigen receptor-T cell and T-cell receptor T-cell products, based on the droplet digital polymerase chain reaction (ddPCR) method. To provide accurate representation of the VCN in gene-engineered cells, we implemented a calculation that factors in the putative transduction efficiency based on Poisson distribution statistics. The adjusted VCN value (VCN Results: This assay consistently and accurately determines the average VCN for cell products. By comparing the VCN in sorted transgene-positive cell populations, we validated the refinement calculation provides a closer approximation to the actual VCN within transduced cells, offering a more realistic representation of the VCN for engineered cell products. Conclusion: In summary, we present a reliable and robust ddPCR-based assay for quantification of VCN in gene-engineered cell products.

Indexed as

droplet digital PCR (ddPCR)genetically engineered T cellsvector copy number (VCN)

Identifiers

PMID40236328
PMCPMC11997555

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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.