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Enregistrement W4389234334 · doi:10.1182/blood-2023-189351

Novel Therapeutics Targeting Acute Myeloid Leukemia (AML) Stem Cells Identified through High-Throughput Screening

2023· article· en· W4389234334 sur OpenAlexaff
Isabella Iasenza, Safia Safa, Frédéric Barabé, Sonia Cellot, Brian T. Wilhelm, Kolja Eppert

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensCentre Hospitalier Universitaire Sainte-JustineHôpital de l'Enfant-JésusInstitute for Research in Immunology and CancerMcGill UniversityUniversité LavalUniversité de MontréalMcGill University Health Centre
Organismes subventionnairesnon disponible
Mots-clésMyeloid leukemiaCD34LeukemiaStem cellHaematopoiesisCancer researchCord bloodMedicineMinimal residual diseaseCytotoxic T cellImmunologyAcute leukemiaPharmacologyIn vitroChemistryBiologyCell biologyBiochemistry

Résumé

récupéré en direct d'OpenAlex

Acute myeloid leukemia (AML) is an aggressive form of blood cancer. Despite the use of cytotoxic standard-of-care drugs, patients often succumb to the disease partially due to the inability of medically unfit patients to withstand the cytotoxic treatments, regrowth from minimal residual disease and the chemo-resistant nature of leukemic stem cells (LSCs). Hence, novel therapies should focus on targeting the unique biology of LSCs to eliminate and avoid reoccurrence. To overcome challenges inherent of screening rare LSCs in vitro such as culturing and expanding, we optimized the conditions for a 4-week in vitro large-scale expansion (>600 million bulk) and enrichment of the CD34+ LSC-containing fraction (>90% purity) for a primary human AML sample (OCI-AML-8227), functionally validated to be enriched for LSCs in long-term xenotransplant assays (Eppert et al., 2011). Next, we performed a high-throughput screen of 11,140 chemical molecules in 3 stages. First, the viability of AML CD34+ cells and healthy cord blood (CB) CD34+ cells was read out at 1-2 doses using a CellTiter-Glo® Luminescent assay. 61 compounds had >70% inhibition of 8227 CD34+ cells and <30% inhibition on CB CD34+ cells. Next, we determined the dose response and refined the hits to 33 potent compounds with LC50 < 1 μM, including novel compounds and classes previously shown to target bulk and leukemic stem cells in AML. We are now presenting the follow up hits identified from the third stage of validation where we determined the LC 50 specifically in the CD34- (blast) and CD34+CD38- (LSC-enriched) OCI-AML-8227 populations using flow cytometry. We identified 25 novel anti-LSC compounds with high efficacy against CD34+CD38- AML cells (LC 50 < 500 nM). Venetoclax was among the top hits, a compound that revolutionized treatment for poor prognosis AML patients due to its anti-LSC activities, providing internal validation of the screen. We then tested these candidates in a second LSC-enriched model with poor prognosis, OCI-AML-20, to ensure the response of compounds on LSCs is not exclusive to OCI-AML-8227 and to investigate the influence of the microenvironment on drug efficiency. A total of 5 hits have significant responses (>50% reduction in LSC enriched populations) and nontoxic to stroma. Furthermore, we refined our top candidates to 7 compounds based on their efficiencies in the two LSC-enriched models (OCI-AML-20 and 8227) and low toxicity on stroma. To gain insights on their mechanisms of action in LSCs, the two models were treated with the 7 candidates and cytarabine as a control for 3 days and apoptosis was measured by flow cytometry. Out of 7 candidates, 5 induced apoptosis in the LSC-enriched fractions, suggesting elimination of LSCs through apoptosis. The remaining compounds may eliminate LSCs through different mechanisms. From these results, we focused on the three leading compounds and validated them for toxicity on CD34+ hematopoetic stem and progenitor cord blood cells (HSPCs) vs CD34+CD38- (LSC-enriched) OCI-AML-8227 by flow cytometry. Although slight toxicity was observed in HSPCs at higher doses, the LC 50 for the stem cell vs LSC-enriched populations differ by ~6-40-fold, indicating that a significantly lower concentration can be used to eradicate LSCs while sparing HSPCs (LC 50 for CD34+ population CB vs 8227; Compound A: 1558 nM vs 83 nM, Compound B: >2000 nM vs 305 nM and Compound C: 612 nM vs 16 nM, respectively). To functionally validate if HSPCs proliferation and differentiation was impaired and if leukemic progenitors were eradicated, a colony forming unit assay was performed for 12 days after 6 days of treatment. Candidates were found to eliminate leukemic progenitors by 50% or more, reducing leukemia initiating potential and having minimal or no impact on CB progenitor functionality. Overall, compound A is a potential candidate to move forward due to its ability to target and eliminate LSCs through apoptosis in two LSC-enriched models, its low toxicity on stroma and normal cord blood cells. This candidate is classified as an indole, a class shown by Pabst et al., 2014 to reduce CD34+CD15- AML cells in a drug screen for aryl hydrocarbon modulators, suggesting a potential mechanism for LSC elimination through apoptosis. We now aim to examine LSC eradication in a panel of genetically defined primary AMLs to be able to determine the broad applicability of this compound and translate the preliminary results for clinical use.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,048
Tête enseignante GPT0,307
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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