CD3-engaging bispecific antibodies convert human regulatory T cells into cytotoxic effectors
Michel, J. J.; Frenking, J. H.; Metzler, A.; Schach, A.; Meermeier, E.; Thiel, V.; Kehl, N.; Zoller, J.; Cuntz, S.; Funk, C.; Onken, R.; Kirschner, A.; Huhn, S.; Brobeil, A.; Trumpp, A.; Rahbari, M.; Heikenwaelder, M.; Mueller-Tidow, C.; Bergsagel, L.; Goldschmidt, H.; Einsele, H.; Rasche, L.; Chesi, M.; Raab, M.; Weinhold, N.; Friedrich, M. J.
Show abstract
Bispecific T cell engagers (BTCEs) have transformed the treatment of B cell malignancies, but how they remodel non-conventional T cell circuits in patients, and how they should be ideally combined with existing treatment backbones, remains unclear. Here we show that CD3-engaging BTCEs convert human FOXP3 regulatory T cells (Tregs) into an AP-1-imprinted hybrid cytotoxic state that contributes to tumor clearance. Leveraging longitudinal bone marrow and peripheral blood sampling from patients with newly diagnosed multiple myeloma (NDMM) treated with BTCE-based induction in the phase 2 (GMMG-HD10/DSMM-XX/MajesTEC-5) trial, which achieves uniformly deep, minimal residual disease (MRD)-negative remissions, we integrate single-cell RNA, ATAC and TCR sequencing with functional and metabolic profiling to define the underlying mechanism. BTCE-containing induction drives expansion of cytotoxic CD8 clones and the emergence of a Treg population characterized by GZMA, GNLY and NKG7 expression, enriched cytotoxic gene signatures, and licensed by BATF-AP-1-centered chromatin remodeling. In vitro, BTCE-exposed Tregs acquire bona fide lytic function, killing tumor cells in a target- and dose-dependent manner and undergoing metabolic rewiring towards an effector-like state while retaining canonical Treg lineage markers. Immunomodulatory drugs (IMiDs) do not initiate but quantitatively amplify and qualitatively reshape this BTCE-driven cytotoxic program, providing a mechanistic rationale for BTCE-IMiD combination regimens. Cytotoxic Treg reprogramming is conserved across BTCEs targeting BCMA, GPRC5D, and CD19 and across multiple myeloma, as well as acute lymphoblastic leukemia. These findings reveal unexpected plasticity of human Tregs under synthetic T cell engagement and establish cytotoxic Tregs as active effectors, candidate biomarkers and tractable levers for optimizing T cell-redirecting immunotherapy.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Tumor-Initiating Cells Fine-tune the Plasticity of Neutrophils to Sculpt a Protective Niche 95%
- MHC class II-restricted antigen presentation is required to prevent dysfunction of cytotoxic T cells by blood-borne myeloids in brain tumors 93%
- Systematic Elucidation and Pharmacological Targeting of Tumor-Infiltrating Regulatory T Cell Master Regulators 93%
Similar papers in this journal
- Two-Stage CD8+ CAR T-Cell Differentiation in Patients with Large B-Cell Lymphoma 95%
- Single Cell Characterization of Myeloma and its Precursor Conditions Reveals Transcriptional Signatures of Early Tumorigenesis 95%
- RNF5 Regulation of RBBP4 Defines Acute Myeloid Leukemia Growth and Susceptibility to Histone Deacetylase Inhibitors 94%
Similar papers in this journal
- Epigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas 94%
- Peanut oral immunotherapy differentially suppresses clonally distinct subsets of T helper cells 94%
- Signatures of immune senescence predict outcomes and define checkpoint blockade-unresponsive microenvironments in acute myeloid leukemia 93%
Similar papers in this journal
Similar papers in this journal
- Single cell dissection of developmental origins and transcriptional heterogeneity in B-cell acute lymphoblastic leukemia 95%
- A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma 93%
- Non-oncology drugs are a source of previously unappreciated anti-cancer activity 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.