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Enregistrement W3035059775 · doi:10.1182/blood.v130.suppl_1.297.297

Targeting Mitochondrial Translation Overcomes Venetoclax Resistance in Acute Myeloid Leukemia (AML) through Activation of the Integrated Stress Response

2017· article· en· W3035059775 sur OpenAlexaff
David Sharon, Séverine Cathelin, Amit Subedi, Ryan Williams, Mariana Benicio, Troy Ketela, Steven M. Chan

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAdvanced biosensing and bioanalysis techniques
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxCancer researchMyeloid leukemiaBiologyCRISPRMyeloidLeukemiaGeneComputational biologyGeneticsChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Venetoclax is a highly specific BCL-2 inhibitor with promising activity against AML including leukemic stem cells (LSCs). However, venetoclax monotherapy in AML patients had limited clinical efficacy due to intrinsic or acquired drug resistance which has been attributed to the overexpression of other anti-apoptotic proteins including MCL-1 and BCL-xL. These findings highlight the importance of combination therapy to overcome resistance but the optimal strategy to achieving this goal is unclear. To address this issue, we generated a panel of highly resistant clones derived from the intrinsically sensitive MOLM-13 and MV-4-11 AML cell lines. Surprisingly, treatment with MCL-1 or BCL-xL inhibitors failed to overcome resistance despite higher expression of the anti-apoptotic proteins in resistant cells. To identify novel targets, we performed a genome-wide CRISPR knockout screen to find genes that upon inactivation, restore sensitivity to venetoclax. We transduced one of the resistant clones engineered to stably express Cas9 with a pooled lentiviral single-guide RNA (sgRNA) library that targets 17,661 protein-coding genes with 91,320 unique sgRNA sequences. Transduced cells were divided into 2 populations with one treated with venetoclax and the other untreated as control. The transduced cells were cultured for 29 days to negatively select sgRNAs that re-sensitized resistant cells to venetoclax. Cell samples were collected at regular intervals and subjected to next-generation sequencing of the sgRNA target region to quantify the abundance of each construct. We identified genes that were negatively selected in the presence of venetoclax using the MAGeCK algorithm. The top-ranked genes were highly enriched for gene ontology terms related to mitochondrial translation. We confirmed that RNAi-mediated knockdown of the top-ranked ribosomal subunit gene, DAP3, overcame venetoclax resistance. Pharmacologic inhibition of mitochondrial translation with a panel of protein synthesis inhibitor antibiotics similarly restored sensitivity in AML cell lines with intrinsic or acquired resistance. Tedizolid, a FDA-approved second generation oxazolidinone antibiotic, was the most effective in mediating this effect at clinically relevant concentrations. Furthermore, the combination of tedizolid and venetoclax targeted the LSC-enriched CD34+CD38- population in ex vivo -cultured primary AML samples. Importantly, normal cord blood hematopoietic stem and progenitor cells were more resistant to this combination suggestive of a wide therapeutic index . To decipher the mechanism by which tedizolid overcomes venetoclax resistance, we first profiled the expression of BCL-2 family members in total cellular and purified mitochondrial extracts. Antibiotic treatment did not affect total BCL-2, MCL-1, or BCL-xL protein levels but caused a substantial increase in BCL-2 levels in the mitochondrial fraction indicative of BCL-2 translocation to the organelle. Next, we confirmed that tedizolid treatment selectively reduced the expression of mitochondrial over nuclear-encoded proteins consistent with its inhibitory effect on mitochondrial translation. This mitonuclear protein imbalance has been shown to activate the integrated stress response (ISR). Tedizolid treatment activated this response as evidenced by an increase in eIF2-α phosphorylation and expression of ATF4, a master transcription factor regulator. To determine whether ISR activation is sufficient to overcome venetoclax resistance, we treated resistant cells with a small-molecule activator of PERK (CCT020312), which activates the ISR through direct eIF2-α phosphorylation, and observed re-sensitization to venetoclax. In summary, our results demonstrate that inhibition of mitochondrial translation, which activates ISR and triggers BCL-2 translocation to the mitochondria, is a novel approach to overcoming venetoclax resistance in AML cells. Our findings provide the rationale for exploring the use protein synthesis inhibitor antibiotics or direct ISR activators in combination with venetoclax for the treatment of AML or other malignancies. Disclosures No relevant conflicts of interest to declare.

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 seuil0,003

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 Opus0,011
Tête enseignante GPT0,271
Écart entre enseignants0,260 · 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
Publié2017
Routes d'admission1
Résumé présentoui

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