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Record W4405047663 · doi:10.1182/blood-2024-211815

Development of a UM171-Supported, CD33 Epitope-Engineered Blood Stem Cell Graft for Advanced AML Therapies

2024· article· en· W4405047663 on OpenAlexaff
Bernhard Lehnertz, Maéva Langouët, Susan A. Moore, Nadine Mayotte, Tara MacRae, Étienne Gagnon, Guy Sauvageau

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsInstitute for Research in Immunology and CancerUniversité de Montréal
Fundersnot available
KeywordsStem cellEpitopeCD33MedicinePeripheral Blood Stem CellsImmunologyInternal medicineTransplantationBiologyHematopoietic stem cell transplantationAntibodyCD34Cell biology

Abstract

fetched live from OpenAlex

Targeted immunotherapies for myeloid malignancies suffer from the lack of selectively expressed epitopes on the surface of leukemic versus normal hematopoietic cells, especially hematopoietic stem and progenitor cells (HSPC). Building on our clinically proven UM171 cord blood expansion cell therapy (Cohen et al., Blood Advances, 2023; PMID 37467030) for high risk myeloid malignancies and our Leucegene program for surface antigen identification (Bordeleau et al., Cell Reports, 2024, PMID 38838225), we are now developing a strategy that exploits advances in genetic engineering and stem cell expansion/rejuvenation to shield healthy transplanted cells from immuno-therapeutics and their associated on-target toxicities while preserving the maximal anti-leukemia benefit of CB transplants. To this end, we first compared Cas9 or Cytosine base editing (CBE) mediated knockout of the therapeutic antibody target CD33 (Gemtuzumab Ozogamicin, GO, Mylotarg, Pfizer), a proof-of-principle surface protein commonly expressed on both malignant and normal myeloid cells, as well as on CD34+ stem and progenitor cells. Using previously optimized electroporation conditions based on a human HSC-reporter (Lehnertz et al., Blood, 2021, PMID 34499717), transient delivery of either Cas9 or CBE (TadCBEd) encoding, fully N1-methyl-pseudo-Uridine substituted mRNA along with a synthetic sgRNA targeting CD33 exon 2 (Synthego) achieved highly efficient and reproducible CD33 gene ablation (typically >90%) in cord blood derived CD34+ HSPCs through introduction of frame-shift or nonsense mutations, respectively. As suggested before (Schiroli et al., Cell Stem Cell, 2019, PMID 30905619; Lehnertz et al., Blood, 2021, PMID 34499717), Cas9-mediated CD33 editing significantly impacted CD34+ cell expansion ex vivo culture presumably due to introduced DNA double strand breaks. In contrast and in the presence of UM171, the CBE-mediated CD33 ablation allowed similar expansion kinetics as observed in unedited control cells. Accordingly, no significant differences in engraftment between CBE-edited UM171-treated HSPC and unedited controls were detectable in vivo at all timepoints (weeks 5, 10, 15 and 20 post-transplant), while Cas9 treated HSPCs yielded a 11.5-fold reduction in engraftment at week 20 post-transplant (p=3.13e-3) As a next step, we identified and optimized an Adenine base editing (ABE) approach to selectively introduce key missense mutations in the Gemtuzumab Ozogamicin target epitope in exon 2 of CD33. Importantly, introduction of these missense mutations completely abolishes recognition of the therapeutic CD33 antibody clone but maintains full expression and function of CD33 in edited cells. We demonstrate that this novel approach is highly efficient in an HSC engineering context (75-95% de-epitoped CD33+ cells in transplanted mice), renders edited cells completely insensitive to anti-CD33 therapeutic antibodies and CAR-T cells and synergizes with the benefits of UM171-mediated cord blood CD34+ cell expansion. In summary, these results demonstrate a broader feasibility of base editing mediated epitope engineering supported by UM171-mediated HSPC ex vivo expansion for next-generation AML therapies and gene correction therapies. The maintenance of all previously documented UM171 benefits with regards to HSPC expansion and rejuvenation in a gene engineering context is of high clinical relevance, particularly in cases where compatible graft sizes are limited. Other epitopes targeted to specific AML subgroups are being developed in this next generation UM171 amplified transplants.

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 score0.005

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)0.0020.001

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 head0.010
GPT teacher head0.232
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

Citations1
Published2024
Admission routes1
Has abstractyes

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