Evidence map›Paper›PMID 41873732›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Modeling and Simulation in Development and Regulatory Approval of Chimeric Antigen Receptor T-Cell Therapies: An Analysis of European Medicines Agency Centralized Procedures From 2018 to 2024.

Lisa Hanquet, Jean-Michel Dogné, Flora T Musuamba

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Lisa HanquetClinical Pharmacology and Toxicology Research Unit (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.
Jean-Michel DognéClinical Pharmacology and Toxicology Research Unit (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.
Flora T MusuambaClinical Pharmacology and Toxicology Research Unit (URPC), Namur Research Institute for Life Sciences (NARILIS), University of Namur, Namur, Belgium.ORCID https://orcid.org/0000-0001-8276-8870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cell therapies represent a major advancement in oncology. These therapies have demonstrated therapeutic potential, particularly in hematological malignancies where patients have relapsed or are refractory to prior treatments. Despite their promise, the development of CAR-T cell therapies is challenging. Manufacturing processes are complex and individualized for each patient, the eligible patient population is small, and conventional clinical trial designs are often not well suited. This study investigates the use of modeling and simulation for CAR-T cell therapies approved in Europe between 2014 and 2024. Regulatory documents for six authorized products were analyzed to identify and categorize regulatory questions relating to pharmacokinetics, efficacy, safety, and benefit-risk assessment. These questions were systematically organized into a structured repository spanning multiple biological levels. Fewer than half of these questions were addressed at initial marketing authorization, with additional data submitted through post-marketing commitments. Most modeling efforts were devoted to pharmacokinetics, with fewer relating to efficacy and safety being rarely explored. A structured credibility framework was employed to benchmark these modeling approaches against conventional analytical methods. The study revealed inconsistent methodological maturity for modeling and simulation approaches used across submissions. Compared with models described in the scientific literature, those used in regulatory applications were generally simpler and lesser, indicating a more limited implementation of M&S approaches in regulatory contexts so far. The repository developed herein may facilitate improved consistency and transparency in regulatory evaluation and support the broader adoption of model-based approaches throughout the development lifecycle of complex therapies.

Indexed as

Drug ApprovalImmunotherapy, AdoptiveReceptors, Chimeric AntigenComputer SimulationEuropeHumansModels, BiologicalRisk AssessmentReceptors, Chimeric AntigenCAR‐T cellshematological cancerPharmacometricsregulatory science

Identifiers

PMID41873732
PMCPMC13140898

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.