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P421: TARGETED DISRUPTION OF HUMAN FLT3 ERADICATES LEUKEMIC STEM CELLS WITHOUT HARMING HEALTHY HEMATOPOIETIC STEM CELLS

2023· article· en· W4386024524 on OpenAlexaff
Joana Araújo, Elvin Wagenblast, Véronique Voisin, Jessica McLeod, Olga I. Gan, Liqing Jin, Amanda Mitchell, Blaise Gratton, Sarah K. Cutting, Andrea Arruda, Monica Doedens, José‐Mario Capo‐Chichi, Mark D. Minden, Manuel Sobrinho‐Simões, Perpétua Pinto‐do‐Ó, Eric R. Lechman, John E. Dick

Bibliographic record

VenueHemaSphere · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsStem cellHaematopoiesisLeukemiaCancer researchBone marrowMyeloid leukemiaBiologyImmunologyXenotransplantationHematopoietic stem cellTransplantationMedicineInternal medicineCell biology

Abstract

fetched live from OpenAlex

Background: Resistance to standard chemotherapy is a clinical and biological hallmark of leukemic stem cells (LSCs). The ideal therapy to eradicate leukemia would target the unique vulnerabilities of LSCs while preserving normal hematopoiesis. FLT3 is routinely targeted in FLT3-ITD mutated acute myeloid leukemia (AML), a form of AML especially prone to relapse. Surprisingly, little is known about the importance of FLT3 for LSCs or normal hematopoietic stem cells (HSCs), thus raising questions about how effectively we can or should target FLT3. Aims: Here, we investigated, in parallel, the impact of FLT3 on normal human blood production by HSCs and on leukemia propagation by LSCs. Methods: Using CRISPR/Cas9-mediated gene-editing, we knocked out (KO) FLT3 from HSC originating from human fetal liver, cord blood and adult bone marrow, and from primary AML patient samples with and without FLT3-ITD mutations. The stem cell properties of FLT3-KO and control cells were assessed in xenotransplantation assays, using sub-lethally irradiated NSG mice. Results: We found that normal HSCs from fetal, neonatal and adult human tissues with FLT3-KO retained the ability to form persistent multilineage grafts in immunodeficient recipients, even upon serial transplantation. LSCs from FLT3-ITD mutated AMLs could also engraft upon FLT3-KO but leukemic grafts were lost overtime, suggesting that FLT3 is essential for leukemic persistence and propagation. This dependency was unique to FLT3-ITD AML samples as other types of AML were able to form persistent leukemic grafts upon FLT3-KO. In transcriptomic studies, KO of FLT3 was associated with downregulation of cell cycle checkpoints and DNA repair pathways only in FLT3-ITD mutated AMLs - not in normal HSCs or AML cells without FLT3 mutations. Within in vivo functional studies, FLT3 KO in ITD-mutated AML cells was associated with increased cell cycle progression, DNA damage accumulation and cell death. These data suggest that, specifically in FLT3-ITD mutated AMLs, KO of FLT3 leads to uncontrolled cell cycle progression, DNA damage accumulation and LSC exhaustion that, ultimately, results in the extinction of leukemic clones observed in vivo. Competitive repopulation experiments between normal HSCs and FLT3-ITD mutated LSCs, revealed that grafts were invariably composed of leukemic cells with the mice becoming severely sick in the control group; on the contrary, FLT3 KO group was healthy and the grafts were composed of cells from all blood lineages with normal maturation. Summary/Conclusion: Our study suggests that FLT3 has a dual role in normal and leukemic hematopoiesis: whereas normal blood production can be sustained despite FLT3 disruption, leukemic cells, specifically the highly relapsing form of AML that harbors FLT3-ITD mutations, are extinguished upon FLT3 KO. This evidence places FLT3 as an ideal therapeutic target in AML – essential for LSCs but dispensable for normal HSCs – stressing the need to optimize FLT3 targeting in clinical practice.Keywords: FLT3, Acute myeloid leukemia, Hematopoietic stem cell, Leukemic stem cell

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.040
GPT teacher head0.321
Teacher spread0.281 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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