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Record W4389229591 · doi:10.1182/blood-2023-184727

Chimeric Antigen Receptor-Engineered NK Cells Overcome CD226 Downregulation As an Immune Escape Mechanism in Acute Myeloid Leukemia

2023· article· en· W4389229591 on OpenAlexaff
Luciana Melo Garcia, Achintyan Gangadharan, Pinaki P. Banerjee, Paul Lin, May Daher, Hind Rafei, Bijender Kumar, Katayoun Rezvani

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMyeloid leukemiaImmune systemCD38Innate immune systemLeukemiaChimeric antigen receptorDownregulation and upregulationCancer researchReceptorNK-92Cell biologyBiologyImmunologyImmunotherapyInterleukin 21Stem cellT cellCD34

Abstract

fetched live from OpenAlex

Background: Natural killer (NK) cells are part of the innate immune system, and their killing capacity depends on the inputs from activating and inhibitory receptors. CD226 is an activating receptor that plays a role in the immune surveillance of acute myeloid leukemia (AML). AML cells have developed mechanisms to escape NK cell cytotoxicity including downregulating activating receptors such as CD226 on the surface of NK cells. Chimeric antigen receptors (CARs) are synthetic receptors integrated into NK cells to direct their anti-leukemia activity, and CD38 is a potential target for NK CAR-based cellular therapy against AML. Understanding the dynamics between the endogenous activating and inhibitory NK cell receptors (such as CD226) and the introduced CAR can determine the development of more effective NK CAR-based therapy for AML. We hypothesize that CD38-directed CAR NK cells may overcome CD226 downregulation as a mechanism of immune escape in AML. Purpose: we aimed to investigate (1) the mechanisms developed by AML cells to escape recognition by the activating receptor CD226, (2) whether and how anti-CD38 CAR-armed NK cells can overcome AML immune escape mechanisms. Methods: we performed multiparametric mass spectrometry to characterize changes in CD226 expression in NK cells of individuals with AML. Then, we investigated CD226 expression in NK cell-AML cocultures to characterize CD226-related mechanisms by imaging flow cytometry. Finally, to explore the impact of CD226 knockout (KO) together with the role of CD38 CAR in NK cell functionality, we retrovirally transduced CD38 CAR combined with CRISPR-Cas9 CD226 KO followed by short- and long-term cytotoxicity assays, cytokine production techniques and immune synapse assays by imaging flow cytometry. Results: NK cells from AML patients expressed low levels of CD226 with impaired cytotoxicity compared to heathy donor NK cells. Co-culture of healthy donor NK cells with AML blasts resulted in CD226 downregulation secondary to its internalization and was dependent on expression of the CD226 ligand CD155 in AML cells. CD226 KO diminished NK cell cytokine production and decreased their killing capacity against AML cells. In contrast, CD38-targeting NK cells displayed enhanced and specific cytotoxic activity against primary AML cells. When we combined the CD38 CAR with a CD226 KO in NK cells, these cells maintained their activating potential, cytokine secretion levels, and anti-leukemic cytotoxicity (Figure 1). CD38 CAR / CD226 KO NK cells could build strong immune synapses (Figure 2) even in the absence of LFA-1, an integrin activated by CD226 signaling and essential for NK cell immune synapse formation, suggesting that the CAR molecule compensates for the absence of CD266-mediated LFA signaling. Furthermore, CD38 CAR NK cells were capable of forming immune synapses, that were at least partially independent from LFA-1. Conclusion: CAR-directed NK cells can surpass resistance mechanisms in AML, such as CD226 downregulation and dampening of LFA-1 recruitment into the immunological synapse. Thus, NK cell activation by artificially introduced and germline-encoded receptors can overcome distinct tumor-resistance mechanisms, CAR-driven NK cells being a potent option for the treatment of AML.

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 score0.004

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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