Evidence map›Paper›PMID 41330614›Full record

ArticleJournal for immunotherapy of cancer2025

Tempered signal strength via low-dose MEK inhibition optimizes therapeutic performance of engineered T cells.

Franziska Füchsl, Antonia Schwanzer, Melanie Faber, Leonie Rieger, Gabriela Zuleger, Priska Auf der Maur, Emmanuel Cruz, Sarah Braun, Rupert Öllinger, Dirk H Busch and 2 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. 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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0cells of the map it votes in
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

12 authors.

Franziska FüchslSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany franziska.fuechsl@tum.de.ORCID http://orcid.org/0000-0001-5069-1442
Antonia SchwanzerSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.
Melanie FaberSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.
Leonie RiegerSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.
Gabriela ZulegerSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0009-0003-6771-3005
Priska Auf der MaurSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-9059-8979
Emmanuel CruzSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.
Sarah BraunInstitute of Medical Microbiology Immunology and Hygiene, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0009-0009-9244-1033
Rupert ÖllingerInstitute of Molecular Oncology and Functional Genomics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Dirk H BuschInstitute of Medical Microbiology Immunology and Hygiene, Technical University of Munich, Munich, Germany.
Florian BassermannSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.
Angela M KrackhardtSchool of Medicine and Health, III Medical Department, TUM University Hospital, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-4752-0543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimizing T cell activation strength is emerging as a critical factor in improving adoptive cellular therapy (ACT). We previously reported that neoantigen-specific T cell receptor (TCR) clonotypes from a patient with metastatic melanoma exhibited enhanced resilience to repeated stimulation when initially activated at moderate levels.

methodsBuilding on these observations, we applied transient, low-dose MEK inhibition (MEKi) to fine-tune T cell signal strength during early activation. We evaluated this combinatorial strategy in vitro using co-cultures of CD8+ T cells engineered with patient-derived neoantigen-specific TCRs, alongside chimeric antigen receptor-T cells, bispecific T cell engagers, and non-engineered tumor-infiltrating lymphocytes (TILs). In vivo efficacy was evaluated in a xenograft model with intravenous TCR-T cell transfer and systemic low-dose MEKi.

resultsMEKi co-treatment induced a more tempered activation profile that enhanced T cell proliferation, fitness, and persistence under strong stimulation. These effects were consistent across various in vitro and in vivo models for engineered T cells as well as primary melanoma-derived TILs. MEKi dampened the pro-inflammatory T cell activation profile, most notably diminishing tumor necrosis factor (TNF) secretion, mechanistically driven by coordinated and selective disruption of the key transcriptional regulators nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB) and nuclear factor of activated T cells (NFAT) while partly preserving activator protein 1 (AP-1) activity.

conclusionThese findings highlight moderate activation as a critical determinant of engineered T cell long-term performance. Low-dose MEKi offers a therapeutic tool for fine-tuning T cell activation and enhancing ACT efficacy.

Indexed as

CD8-Positive T-LymphocytesImmunotherapy, AdoptiveMelanomaProtein Kinase InhibitorsT-LymphocytesAnimalsFemaleHumansLymphocyte ActivationMiceXenograft Model Antitumor AssaysProtein Kinase Inhibitorsadoptive cell therapy - ACTcombination therapyimmunotherapyT cell receptor - TCR

Identifiers

PMID41330614
PMCPMC12673559

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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.