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Enregistrement W2983814742 · doi:10.1182/blood-2019-127593

Mutations and Copy Number Gains of the BCL2 Family Members Mediate Resistance to Venetoclax in Multiple Myeloma (MM) Patients

2019· article· en· W2983814742 sur OpenAlexaff
Paola Neri, Ranjan Maity, Jean-Baptiste Alberge, Sarthak Sinha, Justin Donovan, Madison Kong, Fajer Hasan, Arzina Jaffer, Lawrence Boise, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxCarfilzomibBortezomibCancer researchBiologyMultiple myelomaSomatic evolution in cancerOncologyInternal medicineMedicineImmunologyLeukemiaCancerChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Background: Selective BCL2 inhibition with venetoclax, induces deep responses in relapsed MM. However, acquired resistance to venetoclax frequently occurs. Importantly, in the Bellini trial, while the combination of venetoclax and bortezomib doubled the median progression free survival compared to control, it resulted in shorter overall survival. These results highlight the challenges secondary resistance poses and the need to investigate the mechanisms mediating the emerged resistance to venetoclax. Methods & Results: Bone marrow (BM) aspirates were collected from patients (n=8) treated with venetoclax prior to initiation of therapy and at disease progression. Mononuclear cell fractions were isolated through ficoll coupled with magnetic sorting of CD138+cells. Ex-vivo functional profiling of venetoclax sensitivity was performed on CD138+cells. Unbiased mRNA and DNA profiling was conducted by single-cell RNA-sequencing (scRNA-seq), single cell ATAC-seq and single cell copy number analysis (scCNV) using the GemCode system (10x Genomics). Cell Ranger, Seurat, Signac and Monocle were used for data analysis. Ex-vivo apoptosis studies revealed a dynamic shift of the IC50s of venetoclax from a median of 100 nM in pretreatment sample to >1000 nM at disease progression. Single cell CNV profiling identified a significant expansion of a pre-treatment subclonal (<1%) cluster of cells with 1q21 copy number gain to become the predominant clone (>70%) at the time of relapse. The scale of the 1q CNV gain varied from 3 Mb to a very focal gain of 100 kb encompassing the MCL1 gene locus. Of note copy number gain was also identified in the BCL2L1 gene, but no copy number losses were detected in the BAX or BAK gene loci. Single cell RNA profiling of the same samples confirmed the gain in the MCL1 mRNA transcript with downregulation of BCL2 at the time of relapse. Consistent with a branching evolutionary model, scATAC-seq revealed increased chromatin accessability studies at the MCL1 locus in subclones of relapsed samples. Cell trajectory analysis and pseudotime ordering of cells (Monocle) revealed the emergence of a highly proliferative clone and of an MCL1 dependent clone as the disease evolved from its original BCL2 dependent cluster at pseudotime (t0) (Figure). Furthermore, ex-vivo apoptosis profiling revealed a shift in the sensitivity of the CD138+cells with an acquired sensitivity to MCL1 inhibitor (S63845). These findings suggest that the 1q21 copy number gain with MCL1 upregulation is likely mediating the acquired venetoclax resistance. In order to functionally confirm whether the gain in MCL1 is sufficient to shift BCL2 to MCL1 dependency and induce resistant to venetoclax, we stably overexpressed MCL1 in the KMS12PE BCL2-dependent MM cell line (KMS12PE_MCL1) and examined its sensitivity to venetoclax and/or S63845 relative to control vector (KMS12PE_EV). Of interest, co-immunoprecipitation (co-IP) of BIM in KMS12PE_MCL1 demonstrated a shift in BIM loading and co-IP with MCL1 and BCL2 while it was restricted to BCL2 in KMS12PE_EV cells. Importantly, venetoclax IC50 of KMS12PE_EV increased by 200 folds in KMS12PE_MCL1 cells with acquired sensitivity to S63845. scCNV analysis of one patient did not identify any gain in the 1q locus at the time of disease progression to venetoclax. Mutation analysis however identified a de novo BCL2 mutation [NM_000633.2:c.332A>C, p.(Asp111Ala)]. To determine whether the Asp111Ala mutation alone is sufficient to confer resistance to venetoclax, the mutant was overexpressed in KMS12PE cells. While BIM binding to BCL2 was unaffected, Aps111Ala largely abrogated venetoclax-induced BIM displacement from BCL2 and reduced KMS12PE cells sensitivity to venetoclax by ~7.5 folds. Structure modeling also demonstrated the inability of venotoclax to tightly bind mutant BCL2_Asp111Ala hydrophobic groove. Conclusion: We have discovered and functionally characterized a novel BCL2 mutation that confers in vitro and in vivo resistance to venetoclax-treated MM patients. In addition we have identified through single cell profiling an enrichment of MM clones with MCL1 locus copy number gain at the time of acquired venetoclax resistance. Early detection and dynamic monitoring of these abnormalities (BCL2 mutant or 1q gain) with early therapeutic interventions targeting these clones may enhance venetoclax efficacy and improve patients' survival. Figure Disclosures Neri: Celgene, Janssen: Consultancy, Honoraria, Research Funding. Boise:Genentech Inc.: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria, Research Funding. Bahlis:Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,007

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 recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,019
Tête enseignante GPT0,286
Écart entre enseignants0,266 · 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'étudeObservationnel
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

Citations15
Publié2019
Routes d'admission1
Résumé présentoui

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