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Record W7108696894 · doi:10.1182/blood-2025-2410

Development of multi-targeting CAR-double-negative T cells for allogeneic immunotherapy in B-cell leukemia

2025· article· en· W7108696894 on OpenAlexaff

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsInstitute of Cancer ResearchAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsChimeric antigen receptorAntigenLeukemiaImmunotherapyCD19Myeloid leukemiaCancer immunotherapyImmune systemT cell

Abstract

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Abstract Introduction Clinical breakthroughs achieved through Chimeric Antigen Receptor (CAR)-T cell therapy have revolutionized the treatment for B-cell acute lymphoblastic leukemia (B-ALL). Despite this, B-ALL still causes 7,000 deaths each year. Two major barriers limit the success of CAR-T. First, access remains limited due to a costly, time-consuming, and complex manufacturing process. Current CAR-T products are autologous and derived from heavily pre-treated patients, which delays production and results in a high price tag. Second, relapse remains common, affecting more than 50% of individuals. This can result from low CAR-T cell persistence or antigen escape. Since commercially available CAR-T cells target a single antigen, CD19, cancer cells can evade CAR-T cell-mediated immunity by downregulating the CAR-targeted antigen (Rampotas & Roddie, Blood 2025). Our group described donor-derived CD3+ CD4- CD8- Double-Negative T cells (DNTs), a rare type of mature peripheral T cell, as an off-the-shelf adoptive cellular therapy for acute myeloid leukemia (Tang et. al., Am J Hematol 2022). In clinical trials, allogeneic DNTs and CD19-CAR-DNT proved effective cancer-killing without inducing graft-versus-host disease (Xiao et. al., EClinicalMedicine 2024) (Tin, Lee, Zhang; Curr Opin Pharmacol 2025). These findings support DNTs as a safe and effective allogeneic platform for CAR-based therapies. Here, we evaluate the potential of arming DNTs with CAR constructs targeting multiple B-cell antigens to overcome relapse and broaden access to allogeneic CAR therapies for B-ALL. Methods DNTs were isolated from healthy donor peripheral blood and transduced with CAR constructs targeting CD19 or CD22. Following expansion, CAR-DNTs were cryopreserved for subsequent assays. Cytotoxicity was assessed by co-culturing individual or pooled CAR-DNTs with either primary B-ALL patient blasts or NALM-6 cells. A CD19-knockout NALM-6 line was generated via CRISPR-Cas9 to model antigen escape. Flow cytometry was used to evaluate killing efficiency, CAR-DNT phenotype, and antigen expression on target cells. Cytokine release profiles were analyzed using a Luminex multiplex assay. Results Allogeneic CAR-DNTs—single-targeting CD19 or pooled with CD22—exhibited superior cytotoxicity compared to untransduced DNTs in in vitro killing assays against NALM-6 cells and a primary B-ALL patient sample. Among them, CD19-CAR-DNTs showed the highest cytotoxic activity (p < 0.0004). Importantly, CAR-DNTs retained both cancer-killing function and >90% viability after cryopreservation, supporting their potential for “off-the-shelf” therapeutic use. When co-cultured with CD19-CAR-DNTs, leukemia cells showed marked downregulation of CD19 expression. In contrast, CD22 expression remained largely unchanged following exposure to CD22-CAR-DNTs. The functional relevance of antigen loss was confirmed using a CD19-knockout NALM-6 line: in this context, CD19-CAR-DNTs lost their cytotoxic advantage. To model long-term tumour control, a co-culture system using wild-type NALM-6 and CD19-CAR-DNTs at a low effector-to-target ratio was maintained and monitored for 79 days. CAR-DNTs effectively suppressed leukemia growth for over 60 days and remained viable for more than 78 days. Interestingly, in persisting viable NALM-6 cells, CD19 downregulation was observed early, but surface expression gradually recovered to baseline levels despite continuous CAR19-DNT exposure. Finally, cytokine profiling via Luminex revealed distinct effector signatures. While CAR-T conventional cells produced higher levels of IFN-γ and TNF-α, CAR-DNTs secreted more IL-8 and granzyme A (GZMA), suggesting a mechanism of action that favours localized cytotoxicity with potentially reduced systemic inflammation. Conclusion Our findings support the feasibility of using CAR-DNTs as an off-the-shelf immunotherapy for B-ALL, highlighting their capacity for cryopreservation, long-term storage, and sustained cytotoxic function. The potential for a “mix-and-match” approach, combining CAR-DNTs targeting different antigens, may be especially valuable in the context of relapse or antigen escape. Moving forward, we plan to expand our panel of CAR targets to broaden therapeutic coverage and to validate efficacy using additional B-chronic lymphocytic leukemia cell lines and B-ALL patient samples. Preclinical testing will continue in the established B-ALL xenograft model using NSG-GSM3 mice to further evaluate in vivo functionality and safety.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.320
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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