Evidence map›Paper›PMID 42463945›Full record

ArticleLeukemia2026

Functional immune profiling translates T cell dynamics into predictive biomarkers for myeloma immunotherapy.

Frederik Herzberg, Feiteng Lu, Michael Korenkov, Vincent Fregona, Carin Didoss, Nina Heisterkamp, Maximilian Sprechert, Alexandra Polici, Clarissa Heck, Simon Haas and 3 more

Abstract read
In one paragraph

Article in Leukemia, 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

13 authors.

Frederik HerzbergDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Feiteng LuDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-4782-9436
Michael KorenkovDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-2988-8483
Vincent FregonaMax-Delbrück-Center for Molecular Medicine, Berlin, Germany.
Carin DidossDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Nina HeisterkampDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Maximilian SprechertDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Alexandra PoliciDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Clarissa HeckDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Simon HaasDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.
Jan KrönkeDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-4649-0506
Ulrich KellerDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-8485-1958
Stephan R BohlDepartment of Hematology, Oncology and Cancer Immunology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Berlin, Berlin, Germany. stephan.bohl@charite.de.ORCID http://orcid.org/0000-0001-9379-3342

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bispecific T cell engagers (TCE) targeting BCMA or GPRC5D have improved outcomes in relapsed/refractory multiple myeloma (MM), yet up to 40% of patients are primarily refractory, and predictive biomarkers are scarce. To address this unmet clinical need, we developed an image-based, high-content ex vivo assay using patient-derived bone marrow mononuclear cells exposed to teclistamab or talquetamab. Multiplex immunofluorescence enabled single-cell quantification of plasma cell lysis, T cell expansion, T cell morphology, and spatial T cell-plasma cell engagement. Across all ex vivo-treated patient samples, we identified three functional response phenotypes: non-responder, cytotoxic, and cytotoxic-expansive. Based on this classification, we delineated a morphologic T cell activation trajectory from resting to polarized and effector states. Progression along this trajectory reflected ex vivo plasma cell killing efficacy and distinguished productive from abortive immunological synapses. Importantly, ex vivo response phenotypes stratified clinical response and time on therapy in patients receiving TCE monotherapy, positioning image-based ex vivo profiling as a functional biomarker for immune competence and therapy stratification in MM.

Indexed as

Antibodies, BispecificBiomarkers, TumorImmunotherapyMultiple MyelomaT-LymphocytesHumansLymphocyte ActivationPlasma CellsAntibodies, BispecificBiomarkers, Tumor

Identifiers

PMID42463945
PMCPMC13506338

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.