Evidence map›Paper›PMID 42760488›Full record

ArticleThe AAPS journal2026

Quantitative Characterization of Innate and Adaptive Pharmacology of Allogeneic anti-CD20 Chimeric Antigen Receptor (CAR) Vδ1 γδ T cells using Multiscale Mechanistic Modeling.

Devam A Desai, Omar Elashkar, Rodrigo Cristofoletti, Ganesh Mugundu, Aman P Singh

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Article in The AAPS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Devam A DesaiCenter of Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, Florida, USA.ORCID http://orcid.org/0009-0006-8880-8718
Omar ElashkarCenter of Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, Florida, USA.ORCID http://orcid.org/0000-0002-5505-778X
Rodrigo CristofolettiCenter of Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, Florida, USA.ORCID http://orcid.org/0000-0003-2619-0343
Ganesh MugunduCell Therapy Clinical Pharmacology and Modeling, Precision and Translational Medicine, Oncology Cell Therapy and Therapeutic Area Unit, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0009-0001-8814-4222
Aman P SinghCell Therapy Clinical Pharmacology and Modeling, Precision and Translational Medicine, Oncology Cell Therapy and Therapeutic Area Unit, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA. ASing215@its.jnj.com.ORCID http://orcid.org/0000-0002-1886-2624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gamma Delta (γδ) T Cells are currently being evaluated as a therapeutic alternative to traditional alpha-beta (αβ) T-cells due to their superior safety profile and enhanced tissue retention properties. The application of CAR technology to gamma delta (γδ) T cells presents a novel therapeutic avenue with the potential to overcome some limitations of conventional CAR T-cell therapies, such as targeting solid tumors and reducing on-target, off-tumor toxicities. The objective of this manuscript is development of a translational PK-PD framework to first characterize in vitro killing potential of un-transduced and CAR transduced anti- CD20 Vδ1 γδ T cells as well as development of an in vivo mechanistic CK-PD model designed to understand the complex dynamics of CAR γδ T cells and their interaction with IL-15 and tumor cells. All the preclinical and clinical datasets along with relevant information were digitized and obtained from the published work on Adicet Bio's AD-001. The developed model was able to estimate the in vitro killing potential of untransduced and CAR transduced anti- CD20 Vδ1 γδ T cells as well as expansion, tissue distribution, the impact of lymphodepletion and interleukin-15 (IL-15), and the tumor-killing potential of CAR-modified γδ T cells. These insights offer a deeper understanding of the potential therapeutic benefits and mechanisms of γδ T cells in immunotherapy, particularly in their application against various cancers. The development of this translational framework can be paramount in understanding the underlying dose-exposure-response relationship of CAR modified γδ T cell therapy and facilitate the discovery and development of these agents.

Indexed as

Adaptive ImmunityAntigens, CD20Immunity, InnateImmunotherapy, AdoptiveNeoplasmsReceptors, Antigen, T-Cell, gamma-deltaReceptors, Chimeric AntigenT-LymphocytesAnimalsHumansInterleukin-15Antigens, CD20Interleukin-15Receptors, Antigen, T-Cell, gamma-deltaReceptors, Chimeric Antigenallogenetic cell theraphyCAR-T cell therapymechanism-based modelingpreclinical to clinical translation

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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.