Evidence map›Paper›PMID 34853800›Full record

ArticleMolecular therapy. Methods & clinical development2021

Quantification of cell-free DNAfor the analysis of CD19-CAR-T cells during lymphoma treatment.

Thomas Mika, Julia Thomson, Verena Nilius-Eliliwi, Deepak Vangala, Alexander Baraniskin, Gerald Wulf, Susanne Klein-Scory, Roland Schroers

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Thomas MikaDepartment of Medicine, Hematology and Oncology, Ruhr University Bochum, 44892 Bochum, Germany.
Julia ThomsonClinic for Hematology and Medical Oncology, Georg-August University, 37075 Göttingen, Germany.
Verena Nilius-EliliwiDepartment of Medicine, Hematology and Oncology, Ruhr University Bochum, 44892 Bochum, Germany.
Deepak VangalaDepartment of Medicine, Hematology and Oncology, Ruhr University Bochum, 44892 Bochum, Germany.
Alexander BaraniskinDepartment of Medicine, Hematology and Oncology, Ruhr University Bochum, 44892 Bochum, Germany.
Gerald WulfClinic for Hematology and Medical Oncology, Georg-August University, 37075 Göttingen, Germany.
Susanne Klein-ScoryDepartment of Medicine, Hematology and Oncology, Ruhr University Bochum, 44892 Bochum, Germany.
Roland SchroersDepartment of Medicine, Hematology and Oncology, Ruhr University Bochum, 44892 Bochum, Germany.
Ruhr University Bochum · DEUniversity of Göttingen · DEEvangelisches Krankenhaus Hamm · DEUniversitätsklinikum Knappschaftskrankenhaus Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-T cells are increasingly used for the treatment of hematologic malignancies. Treatment success relies highly upon sufficient expansion of CAR-T effector cells. Accordingly, longitudinal quantification of CAR-T cells during therapy is clinically important. Techniques to quantify CAR-T cells in patient blood samples are based on flow cytometry and PCR. However, cellular kinetics of CAR-T cells are very complex and under current investigation. In this study, feasibility of CAR-T cell quantification by cell-free DNA (cfDNA) was analyzed. cfDNA isolated from 74 blood samples of 12 patients during lymphoma treatment with the anti-CD19 CAR-T cell product axicabtagene ciloleucel (axi-cel) were analyzed. Concentrations of cfDNA specific for the CAR-T gene construct (cfCAR-DNA) and a reference gene were quantified by a newly designed digital-droplet PCR (ddPCR) assay. Detection and quantification of cfCAR-DNA was feasible and reliable for all patients included. Relative quantification of cfCAR-DNA compared to a reference gene, suitable for genomic DNA analysis, was heterogeneous in treatment responders and non-responders. In contrast, parallel analyses of cfCAR-DNA and reference cfDNA in a patient-specific approach gave insight into active lymphoma killing and treatment responses. In summary, plasma cfDNA determination in lymphoma patients is a promising tool for future clinical decision making.

Indexed as

axi-celcancer immunotherapyCAR-T cellsCD19-directed chimeric antigen receptor T cellscell-free DNAdigital-droplet PCR (ddPCR)liquid biopsylymphoma

Identifiers

PMID34853800
PMCPMC8606297
OpenAlexW3211018741

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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.