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Enregistrement W4310096202 · doi:10.1182/blood-2022-170828

High Fatality CBFA2T3-GLIS2 Pediatric Acute Megakaryoblastic Leukemia Is Sensitive to BCL-XL Inhibition

2022· article· en· W4310096202 sur OpenAlexaff
Verena Gress, Mathieu Roussy, Sophie Cardin, Luc Boulianne, Furat Fatima, Louise Laramée, Emma Rose Cheetham, Alexandre Rouette, Nehme Hachem, Véronique Lisi, Azer Farah, Mélanie Bilodeau, Frédéric Barabé, Vincent‐Philippe Lavallée, Brian T. Wilhelm, Sonia Cellot

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueProtein Degradation and Inhibitors
Établissements canadiensUniversité LavalUniversité de MontréalInstitute for Research in Immunology and CancerCentre Hospitalier Universitaire Sainte-Justine
Organismes subventionnairesnon disponible
Mots-clésAcute megakaryoblastic leukemiaMedicineLeukemiaInternal medicineOncologyCancer research

Résumé

récupéré en direct d'OpenAlex

Acute megakaryoblastic leukemia (AMKL) is a rare subtype of pediatric acute myeloid leukemia (AML) with dismal survival prognosis in children below 3 years of age (<40% of cure rates). In two thirds of cases, recurrent and mutually exclusive oncogenic fusions are detected, such as CBFA2T3-GLIS2 (CG2) or NUP98 rearrangements (e.g. NUP98-KDM5A), which are considered the transformative event in this disease. The development of genotype tailored therapies is urgently needed in AMKL but greatly limited by the paucity of primary sample material, which is among other things attributed to myelofibrosis and the rarity of primary patients. Therefore, our research group has engineered synthetic human models of high-fatality pediatric AMKL with different oncogenic fusions that faithfully phenocopy the disease in a patho-physiological context. In recent years, inducers of mitochondria-mediated apoptosis, so called BH3 mimetics, entered the therapeutic arena in adult AML and pediatric leukemia with promising results. The molecules emphasized on are Venetoclax (a specific inhibitor of BCL2) and Navitoclax (broader affinity to BCL2, BCL-XL and BCL-W). Even though we see promising results in other leukemia, these agents were so far not investigated as potential therapies in pediatric high-fatality AMKL. To first overcome the paucity of patient material for research, we generated synthetic models of high-risk AMKL by transducing cord-blood derived hematopoietic stem and progenitor cells (HSPC) with lentiviral particles carrying the CBFA2T3-GLIS2 oncogenic fusion, followed by xenotransplantation into NSG mice. This approach generated leukemia with a latency between 9.9 and 36.1 weeks in primary mice which are able to sustain serial rounds of transplantation in recipient mice (up to 5 rounds tested). Furthermore, leukemic blasts immunophenotypically recapitulate AMKL, demonstrating expression of megakaryopoietic markers such as CD41, CD61 and CD56 that are even maintained after in vitro culture of 6 days and subsequent transplantation. Furthermore, we derived a CG2 specific gene expression signature from transcriptomic profiling of our models as well as patient samples that showed high expression of NCAM1, BMP2, ERG and low GATA1 levels, as reported for CG2 leukemia. Remarkedly, one of the specific up regulated genes in our signature for CG2 was pro-survival factor BCL2. In addition, our models are located in the megakaryocytic-erythroid differentiation space, as assessed by single cell RNAseq, and similar to their healthy counterparts of the megakaryopoietic lineage they demonstrated high expression of BCL-XL on RNA and protein level, in contrast to AML samples. Based on the aberrant expression of BCL2 in our synthetic leukemia models and lineage related expression of BCL-XL, we set out to test Venetoclax and Navitoclax in the context of AMKL. We identified Navitoclax (inhibitor of BCL2, BCL-XL and BCL-W) as a therapeutic vulnerability in our models of AMKL (CG2 and NUP98 rearranged), whereas our cells demonstrated resistance to treatment with Venetoclax. We further investigated the molecular mechanism and showed that shRNA mediated knock-down or inhibition of BCL-XL, by either Navitoclax or the BCL-XL specific proteasomal degrader DT2216, results in significant induction of apoptosis in our models of AMKL. On the contrary, genetic or pharmacological inhibition of BCL2 did not induce apoptosis in our synthetic models of AMKL, even at doses as high as 10µM. Furthermore, a genotype matched leukemic model of NUP98-KDM5A, which was presenting as monocytic (CD68+LYZ+) AML instead of AMKL, was resistant to either treatment with Venetoclax or Navitoclax whereas ML2, a MLL rearranged AML cell line, showed increased sensitivity to both Venetoclax and Navitoclax treatment. Moreover, in vivo treatment of a xenografted CG2 AMKL model with Navitoclax reduced leukemic burden in mice in bone-marrow and spleen in comparison to vehicle treated controls. In conclusion, we generated a model of rare CG2 pediatric high-fatality leukemia that faithfully mimics the patient situation and allows biomass generation for large scale multi-omic approaches. Furthermore, we demonstrate a lineage- and genotype specific targetable dependency of pediatric AMKL towards inhibition of BCL-XL but not BCL2, that could be transferred to the clinic as a novel therapeutic option in high-risk infant leukemia.

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 enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,005
Tête enseignante GPT0,213
Écart entre enseignants0,208 · 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

Citations2
Publié2022
Routes d'admission1
Résumé présentoui

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