Evidence map›Paper›PMID 34205020›Full record

ArticleCancers2021

Early Survival Prediction Framework in CD19-Specific CAR-T Cell Immunotherapy Using a Quantitative Systems Pharmacology Model.

Anna Mueller-Schoell, Nahum Puebla-Osorio, Robin Michelet, Michael R Green, Annette Künkele, Wilhelm Huisinga, Paolo Strati, Beth Chasen, Sattva S Neelapu, Cassian Yee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

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  15. "Digital twins elucidate critical role of TNPJ systems biology and applications · 2024
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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

11 authors at 4 institutions in 2 countries.

Anna Mueller-SchoellDepartment of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, 12169 Berlin, Germany.ORCID 0000-0002-5936-1877
Nahum Puebla-OsorioDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Robin MicheletDepartment of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, 12169 Berlin, Germany.ORCID 0000-0002-5485-607X
Michael R GreenDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Annette KünkeleDepartment of Pediatric Oncology and Hematology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Augustenburger Platz 1, 1335 Berlin, Germany.ORCID 0000-0002-8406-5412
Wilhelm HuisingaInstitute of Mathematics, University of Potsdam, 14476 Potsdam, Germany.
Paolo StratiDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-7445-1459
Beth ChasenDepartment of Nuclear Medicine, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Sattva S NeelapuDepartment of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cassian YeeDepartment of Melanoma Medical Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA.
Charlotte KloftDepartment of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, 12169 Berlin, Germany.
The University of Texas MD Anderson Cancer Center · USFreie Universität Berlin · DEHumboldt-Universität zu Berlin · DEUniversity of Potsdam · DE

Funding

Freie Universität Berlin Open Access Funding
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-T cell therapy has revolutionized treatment of relapsed/refractory non-Hodgkin lymphoma (NHL). However, since 36-60% of patients relapse, early response prediction is crucial. We present a novel population quantitative systems pharmacology model, integrating literature knowledge on physiology, immunology, and adoptive cell therapy together with 133 CAR-T cell phenotype, 1943 cytokine, and 48 metabolic tumor measurements. The model well described post-infusion concentrations of four CAR-T cell phenotypes and CD19

Indexed as

CAR-T cellschimeric antigen receptor T cellsmathematical modelingnon-Hodgkin lymphomapharmacometrics

Identifiers

PMID34205020
PMCPMC8199881
OpenAlexW3172181546

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.