Evidence map›Paper›PMID 35809868›Full record

ReviewAdvanced drug delivery reviews2022

Cellular kinetics: A clinical and computational review of CAR-T cell pharmacology.

Timothy Qi, Kyle McGrath, Raghuveer Ranganathan, Gianpietro Dotti, Yanguang Cao

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–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

45 citing papers in PubMed.

  1. Trial
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  9. Immunogenicity of Gene and Cell Therapies.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Frontiers in immunology · 2026
    Review
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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

5 authors.

Timothy QiDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Kyle McGrathLineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; University of Florida College of Medicine, The University of Florida, Gainesville, FL 32610, USA.
Raghuveer RanganathanLineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Kenneth Norris Jr. Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.
Gianpietro DottiLineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: gianpi@email.unc.edu.
Yanguang CaoDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: yanguang@unc.edu.

Funding

Targeting B7-H3 in ovarian cancerR01CA256898 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Gianpietro Dotti, Linda Van Le · 2021 to 2026
$3.1M
Tuning CAR-T cell functionR01CA247436 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOTTI, GIANPIETRO · 2021 to 2025
$2.4M
Duke-UNC Chapel Hill Immunotherapy Training GrantT32CA211056 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHAO, NELSON J., SERODY, JONATHAN S. · 2017 to 2021
$2.2M
Optimizing antibody-based therapy through a system platform of pharmacokinetics-pharmacodynamics-immunodynamicsR35GM119661 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAO, YANGUANG · 2016 to 2020
$2.1M
Cellular Immunotherapy of Ovarian CancerR01CA243543 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOTTI, GIANPIETRO · 2019 to 2023
$2.0M
NCI NIH HHS R01 CA243543NCI NIH HHS R01 CA247436NCI NIH HHS R01 CA256898NCI NIH HHS T32 CA211056NIGMS NIH HHS R35 GM119661
6 · The paper itself

Abstract

To the extent that pharmacokinetics influence the effectiveness of nonliving therapeutics, so too do cellular kinetics influence the efficacy of Chimeric Antigen Receptor (CAR) -T cell therapy. Like conventional therapeutics, CAR-T cell therapies undergo a distribution phase upon administration. Unlike other therapeutics, however, this distribution phase is followed by subsequent phases of expansion, contraction, and persistence. The magnitude and duration of these phases unequivocally influence clinical outcomes. Furthermore, the "pharmacodynamics" of CAR-T cells is truly dynamic, as cells can rapidly become exhausted and lose their therapeutic efficacy. Mathematical models are among the translational tools commonly applied to assess, characterize, and predict the complex cellular kinetics and dynamics of CAR-T cells. Here, we provide a focused review of the cellular kinetics of CAR-T cells, the mechanisms underpinning their complexity, and the mathematical modeling approaches used to interrogate them.

Indexed as

Receptors, Chimeric AntigenT-LymphocytesHumansImmunotherapy, AdoptiveKineticsReceptors, Chimeric AntigenCancer immunologyCAR-T cellsImmunotherapyLymphocyte traffickingMathematical modelingTranslational science

Identifiers

PMID35809868
PMCPMC9520251

What OpenQuestion holds

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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.