Evidence map›Paper›PMID 37208128›Full record

ArticleJournal for immunotherapy of cancer2023

Bispecific antibodies redirect synthetic agonistic receptor modified T cells against melanoma.

Florian Märkl, Mohamed-Reda Benmebarek, Julius Keyl, Bruno L Cadilha, Martina Geiger, Clara Karches, Hannah Obeck, Melanie Schwerdtfeger, Stefanos Michaelides, Daria Briukhovetska and 19 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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

29 authors at 6 institutions in 2 countries.

Florian Märkl *Department of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0003-4285-0380
Mohamed-Reda Benmebarek *Department of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0002-1201-7067
Julius KeylDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Bruno L CadilhaDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Martina GeigerRoche Innovation Center Zurich, Roche Pharma Research & Early Development, Schlieren, Switzerland.
Clara KarchesDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Hannah ObeckDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Melanie SchwerdtfegerDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Stefanos MichaelidesDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Daria BriukhovetskaDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Sophia StockDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0002-5072-5013
Jakob JobstDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Philipp Jie MüllerDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Lina MajedDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Matthias SeifertDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0002-6581-6196
Anna-Kristina KlüverDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Theo LorenziniDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0003-3377-032X
Ruth GrünmeierDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0002-9044-3600
Moritz ThomasInstitute of AI for Health, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.ORCID 0000-0002-8422-2414
Adrian GottschlichDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Richard KlausDivision of Pediatric Nephrology, Department of Pediatrics, Dr. v. Haunersches Kinderspital, Klinikum der Universität München, Munich, Germany.
Carsten MarrInstitute of AI for Health, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Michael von Bergwelt-BaildonDepartment of Medicine III, Klinikum der Universität München, Munich, Germany.
Simon RothenfusserDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.
Mitchell P LevesqueDepartment of Dermatology, University Hospital Zurich, Schlieren, Switzerland.
Markus Vincent HepptDepartment of Dermatology, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Stefan EndresDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany.ORCID 0000-0002-4703-537X
Christian KleinRoche Innovation Center Zurich, Roche Pharma Research & Early Development, Schlieren, Switzerland.ORCID 0000-0001-7594-7280
Sebastian KoboldDepartment of Medicine IV, Division of Clinical Pharmacology, Klinikum der Universität München, Munich, Germany sebastian.kobold@med.uni-muenchen.de.ORCID 0000-0002-5612-4673
LMU Klinikum · DEHelmholtz Zentrum München · DERoche (Switzerland) · CHFriedrich-Alexander-Universität Erlangen-Nürnberg · DEMünchen Klinik · DEUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelanoma is an immune sensitive disease, as demonstrated by the activity of immune check point blockade (ICB), but many patients will either not respond or relapse. More recently, tumor infiltrating lymphocyte (TIL) therapy has shown promising efficacy in melanoma treatment after ICB failure, indicating the potential of cellular therapies. However, TIL treatment comes with manufacturing limitations, product heterogeneity, as well as toxicity problems, due to the transfer of a large number of phenotypically diverse T cells. To overcome said limitations, we propose a controlled adoptive cell therapy approach, where T cells are armed with synthetic agonistic receptors (SAR) that are selectively activated by bispecific antibodies (BiAb) targeting SAR and melanoma-associated antigens.

methodsHuman as well as murine SAR constructs were generated and transduced into primary T cells. The approach was validated in murine, human and patient-derived cancer models expressing the melanoma-associated target antigens tyrosinase-related protein 1 (TYRP1) and melanoma-associated chondroitin sulfate proteoglycan (MCSP) (CSPG4). SAR T cells were functionally characterized by assessing their specific stimulation and proliferation, as well as their tumor-directed cytotoxicity, in vitro and in vivo.

resultsMCSP and TYRP1 expression was conserved in samples of patients with treated as well as untreated melanoma, supporting their use as melanoma-target antigens. The presence of target cells and anti-TYRP1 × anti-SAR or anti-MCSP × anti-SAR BiAb induced conditional antigen-dependent activation, proliferation of SAR T cells and targeted tumor cell lysis in all tested models. In vivo, antitumoral activity and long-term survival was mediated by the co-administration of SAR T cells and BiAb in a syngeneic tumor model and was further validated in several xenograft models, including a patient-derived xenograft model.

conclusionThe SAR T cell-BiAb approach delivers specific and conditional T cell activation as well as targeted tumor cell lysis in melanoma models. Modularity is a key feature for targeting melanoma and is fundamental towards personalized immunotherapies encompassing cancer heterogeneity. Because antigen expression may vary in primary melanoma tissues, we propose that a dual approach targeting two tumor-associated antigens, either simultaneously or sequentially, could avoid issues of antigen heterogeneity and deliver therapeutic benefit to patients.

Indexed as

Antibodies, BispecificMelanomaAnimalsAntigens, NeoplasmHumansMiceNeoplasm Recurrence, LocalT-LymphocytesAntibodies, BispecificAntigens, Neoplasmimmunotherapy, adoptivemelanoma

Identifiers

PMID37208128
PMCPMC10201273
OpenAlexW4377095913

What OpenQuestion holds

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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.