Evidence map›Paper›PMID 33002189›Full record

ArticleClinical pharmacology and therapeutics2021

Model-Based Cellular Kinetic Analysis of Chimeric Antigen Receptor-T Cells in Humans.

Can Liu, Vivaswath S Ayyar, Xirong Zheng, Wenbo Chen, Songmao Zheng, Hardik Mody, Weirong Wang, Donald Heald, Aman P Singh, Yanguang Cao

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

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

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  18. Emerging Strategies of Cell and Gene Therapy Targeting Tumor Immune Microenvironment.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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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

10 authors.

Can LiuDivision of Pharmacotherapy and Experimental Therapeutics, School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Vivaswath S AyyarDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Xirong ZhengDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Wenbo ChenDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Songmao ZhengDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Hardik ModyDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Weirong WangClinical Pharmacology and Pharmacometrics, Janssen Research & Development, Spring House, Pennsylvania, USA.
Donald HealdDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Aman P SinghDiscovery and Translational Research, Biologics Development Sciences, Janssen Biotherapeutics, Spring House, Pennsylvania, USA.
Yanguang CaoDivision of Pharmacotherapy and Experimental Therapeutics, School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

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
NIGMS NIH HHS R35 GM119661
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-T cell therapy has achieved considerable success in treating B-cell hematologic malignancies. However, the challenges of extending CAR-T therapy to other tumor types, particularly solid tumors, remain appreciable. There are substantial variabilities in CAR-T cellular kinetics across CAR-designs, CAR-T products, dosing regimens, patient responses, disease types, tumor burdens, and lymphodepletion conditions. As a "living drug," CAR-T cellular kinetics typically exhibit four distinct phases: distribution, expansion, contraction, and persistence. The cellular kinetics of CAR-T may correlate with patient responses, but which factors determine CAR-T cellular kinetics remain poorly defined. Herein, we developed a cellular kinetic model to retrospectively characterize CAR-T kinetics in 217 patients from 7 trials and compared CAR-T kinetics across response status, patient populations, and tumor types. Based on our analysis results, CAR-T cells exhibited a significantly higher cell proliferation rate and capacity but a lower contraction rate in patients who responded to treatment. CAR-T cells proliferate to a higher degree in hematologic malignancies than in solid tumors. Within the assessed dose ranges (10

Indexed as

Cell ProliferationImmunotherapy, AdoptiveLymphocyte ActivationModels, ImmunologicalCell DeathClinical Trials as TopicComputer SimulationHumansImmunologic MemoryKineticsNeoplasmsReceptors, Chimeric AntigenRetrospective StudiesT-LymphocytesReceptors, Chimeric Antigen

Identifiers

PMID33002189
PMCPMC7959329

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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.