Evidence map›Paper›PMID 41834019›Full record

ReviewCancer gene therapy2026

Memory programming and new manufacturing paradigms in CAR-T cell therapy.

Niloufar Mohammadkhani, Saber Ebrahimi, Marzieh Hesam Mohammadi, Tanja Nicole Hartmann, Mansour Poorebrahim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Niloufar MohammadkhaniDepartment of Medicine I, Medical Center-University of Freiburg and Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.ORCID http://orcid.org/0000-0002-9504-123X
Saber EbrahimiDepartment of Medicine-Hematology & Medical Oncology, University Medical Center of Johannes Gutenberg University Mainz, Mainz, Germany.
Marzieh Hesam MohammadiDepartment of Medicine I, Medical Center-University of Freiburg and Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.
Tanja Nicole HartmannDepartment of Medicine I, Medical Center-University of Freiburg and Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.ORCID http://orcid.org/0000-0002-0377-7179
Mansour PoorebrahimArnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada. m.poorebrahim@ucalgary.ca.ORCID http://orcid.org/0000-0003-0956-3507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic efficacy of chimeric antigen receptor (CAR) T cells is often constrained by their limited persistence in vivo. Accordingly, numerous strategies have been developed to prolong CAR-T cell survival, many of which leverage memory-like phenotypes to sustain anti-tumor activity. However, extended persistence can also exacerbate CAR-T cell-related toxicities in certain malignancies, underscoring the need for context-specific approaches. Moreover, the rapid advancement of "off-the-shelf" CAR-T platforms may diminish the necessity for engineering enhanced persistence, enabling timely and broadly accessible therapies. In this review, we discuss recent advances aimed at augmenting CAR-T cell persistence with an emphasis on memory-associated features, and highlight emerging technologies that promise to deliver ready-to-use CAR-T products while mitigating the need for further persistence-focused modifications.

Indexed as

Immunologic MemoryImmunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenT-LymphocytesAnimalsHumansReceptors, Antigen, T-CellReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID41834019

What OpenQuestion holds

Textmetadata
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.