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Record W3214517671 · doi:10.1182/blood-2021-145278

A Novel CD34-Specific T-Cell Engager Efficiently Depletes Stem Cells and Acute Myeloid Leukemia Cells <i>in Vitro</i> and <i>In Vivo</i>

2021· article· en· W3214517671 on OpenAlexaff
Lucas C. M. Arruda, Liqing Jin, Mélanie Lambert, Laura Sánchez Rivera, Renato Alvez, Tales Rocha de Moura, Carsten Mim, Rebecca Axelsson‐Robertson, John E. Dick, Jonas Mattsson, Björn Önfelt, Mattias Carlsten, Michael Uhlin

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsCD34Myeloid leukemiaCancer researchStem cellLeukemiaHaematopoiesisAntigenT cellBiologyImmunologyMolecular biologyChemistryCell biologyImmune system

Abstract

fetched live from OpenAlex

Abstract ASH Abstract. Intro Acute myeloid leukemia (AML) and high-risk myelodysplastic syndromes (MDS) are poor prognosis hematological malignancies characterized by abnormal hematopoiesis and dysfunctions of the hematopoietic stem cell system. Chemotherapy remains the standard of care but is associated with side effects and often high rates of relapse. Today, less than a third of patients diagnosed with AML are cured. Bispecific T-cell engagers (BiTEs) are promising immunotherapeutic agents intended for cancer treatment. BiTEs are small molecules constructed of two single chain variable fragments (scFv) connected in tandem by a flexible linker that acts by retargeting T-cells against tumor cells. One scFv binds to CD3, while the second scFv binds to a tumor-associated antigen. This structure and specificity allow a BiTE construct to physically link a T-cell to a tumor cell, stimulating effector cell activation ultimately leading to cytokine production and tumor killing. Material BiTEs against CD34/CD3 and relevant controls were constructed by recombinant DNA technology and purified from the supernatants of transfected CHO cells following standard procedures. The scFv domain binding to CD34 is positioned N-terminally, and the scFv binding to CD3e C-terminally followed by a hexa-histidine sequence. Results By co-culturing T-cells and target AML cells for 48 h in the presence of increasing concentrations of BiTE or controls, we observed that CD34-BiTE efficiently triggered T-cell-mediated depletion of the CD34 hi and CD34 low cell lines, while negative controls killed none of the target cell lines. Next, we examined the T-cell activation and proliferation. We observed that both CD4+ and CD8+ T-cells presented high levels of CD25/CD69 expressions when the CD34+ cell lines were co-cultured with T-cells in the presence of the CD34/CD3 BiTE. No unspecific activation was found when CD34- cell line was used as target cell. Since CD34 is constitutively expressed by HSCs, the CD34-specific BiTE may deplete not only CD34 +AML blasts but also healthy HSCs. To test this, T-cells and HSCs were purified from PBSC grafts and co-cultured in the presence of either CD34/CD3 BiTE or controls. After co-culture, a significant depletion of CD34 + HSCs was observed for the CD34/CD3 BiTE. To address the potential of the anti-CD34 BiTE in vivo, we next established a human CD34 + cell line in NSG mice per intravenous injection and randomized into three different groups and started treatment the day after. Two groups of mice received two consecutive cycles of one intraperitoneal injection of freshly isolated human T-cells followed by daily intravenous injections of either BiTE or control. The mice were euthanatized at day 21 by which the AML burden was measured, and T-cells quantified. No side effects of the treatment, including after BiTE administration, was observed. There were statistically significant reductions of leukemia burden in both bone marrow and spleen in mice receiving T-cells and BiTE compared to T-cells only and control. Conclusions We show that the CD34/CD3 BiTE is able to promote T-cell activation and killing of CD34-expressing target cells with high efficacy in vitro and in vivo, supporting the translation of this drug into clinical trials. In this scenario, the treatment with CD34-targeting BiTE prior to HSCT would trigger the patient's T-cells to deplete CD34 + leukemic blasts and HSCs. As consequence, this adjuvant treatment would decrease the use of cytotoxic and cytostatic conditioning drugs before HSCT, reducing life-threatening complications such as GvHD and infections. Disclosures Arruda: Anocca: Current Employment, Research Funding. Dick: Celgene, Trillium Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Mattsson: MattssonAB medical: Current Employment, Current holder of individual stocks in a privately-held company. Onfelt: Desumo: Current Employment, Current holder of individual stocks in a privately-held company. Uhlin: XNK therapeutics: Current Employment, Current holder of stock options in a privately-held company.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.016
GPT teacher head0.239
Teacher spread0.222 · 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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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