Evidence map›Paper›PMID 36428671›Full record

ArticleCancers2022

Modeling Patient-Specific CAR-T Cell Dynamics: Multiphasic Kinetics via Phenotypic Differentiation.

Emanuelle A Paixão, Luciana R C Barros, Artur C Fassoni, Regina C Almeida

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  9. Intrinsic ADRB2 inhibition improves CAR-T cell therapy efficacy against prostate cancer.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
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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

4 authors at 3 institutions in 1 country.

Emanuelle A PaixãoGraduate Program, Laboratório Nacional de Computação Científica, Petrópolis 25651-075, Brazil.ORCID 0000-0003-1496-5324
Luciana R C BarrosCenter for Translational Research in Oncology, Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-000, Brazil.ORCID 0000-0002-8633-716X
Artur C FassoniInstitute for Mathematics and Computer Science, Universidade Federal de Itajubá, Itajubá 37500-903, Brazil.ORCID 0000-0002-3634-0061
Regina C AlmeidaComputational Modeling Department, Laboratório Nacional de Computação Científica, Petrópolis 25651-075, Brazil.ORCID 0000-0002-9756-8131
Laboratório Nacional de Computação Científica · BRInstituto do Câncer do Estado de São Paulo · BRUniversidade Federal de Itajubá · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric Antigen Receptor (CAR)-T cell immunotherapy revolutionized cancer treatment and consists of the genetic modification of T lymphocytes with a CAR gene, aiming to increase their ability to recognize and kill antigen-specific tumor cells. The dynamics of CAR-T cell responses in patients present multiphasic kinetics with distribution, expansion, contraction, and persistence phases. The characteristics and duration of each phase depend on the tumor type, the infused product, and patient-specific characteristics. We present a mathematical model that describes the multiphasic CAR-T cell dynamics resulting from the interplay between CAR-T and tumor cells, considering patient and product heterogeneities. The CAR-T cell population is divided into functional (distributed and effector), memory, and exhausted CAR-T cell phenotypes. The model is able to describe the diversity of CAR-T cell dynamical behaviors in different patients and hematological cancers as well as their therapy outcomes. Our results indicate that the joint assessment of the area under the concentration-time curve in the first 28 days and the corresponding fraction of non-exhausted CAR-T cells may be considered a potential marker to classify therapy responses. Overall, the analysis of different CAR-T cell phenotypes can be a key aspect for a better understanding of the whole CAR-T cell dynamics.

Indexed as

antigen dependent CAR-T expansionCAR-T cell exhaustionfunctional CAR-T cellshematological malignanciesmemory pooltreatment outcomes

Identifiers

PMID36428671
PMCPMC9688514
OpenAlexW4309033897

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.