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Enregistrement W3211914517 · doi:10.1182/blood-2021-146012

Rapid and Sustained Reduction of Immunosuppressive T-Cells and Focusing of the T-Cell Repertoire in t(11;14) Relapsed/Refractory Multiple Myeloma Patients Treated with Venetoclax in Combination with Daratumumab and Dexamethasone

2021· article· en· W3211914517 sur OpenAlexaff
Nizar J. Bahlis, Jonathan L. Kaufman, Rachid Baz, Hang Quach, Shir‐Jing Ho, Annette Juul Vangsted, Torben Plesner, Philippe Moreau, Simon Gibbs, Eva Medvedova, Orlando F. Bueno, Yan Luo, Christine Mantis, Deeksha Vishwamitra, Jeremy A. Ross, Simon J. Harrison

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésDaratumumabVenetoclaxMultiple myelomaMedicineRefractory (planetary science)LenalidomideImmunologyCancer researchOncologyBiologyLeukemiaChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Venetoclax (Ven) is a highly selective, potent, oral BCL-2 inhibitor that is currently being evaluated as a targeted therapy for the treatment of t(11;14) relapsed/refractory multiple myeloma (RRMM). The combination of Ven with daratumumab (D) and dexamethasone (d) has shown promising efficacy with a tolerable safety profile in the phase 1/2 study (NCT03314181). VenDd is hypothesized to have increased anti-myeloma activity based upon complementary mechanisms of pro-apoptotic effects on tumor cells as well as potentially enhanced T-cell activation and clonal expansion, which has been shown to be associated with achieving deep sustained response to D-based therapy in MM. Results presented herein describe the immunomodulatory effects observed upon VenDd treatment in t(11;14) RRMM patients, including effects on the T-cell repertoire. Methods: Peripheral blood samples from t(11;14) RRMM patients (n=18) treated with VenDd (NCT03314181) were collected at day 1 of cycles 1-5 to characterize effects on B-, T-, and NK-cell populations by multicolor flow cytometry. TCRβ sequencing (ImmunoSEQ, Adaptive Biotechnologies) was also conducted on peripheral blood samples collected from t(11;14) RRMM patients (n=31) treated with VenDd at day 1 of cycles 1, 3, 5, and 9 to assess changes in T-cell clonality, defined as the extent of mono- or oligoclonal expansion by Simpson clonality index, and T-cell richness, defined as the number of clones with unique TCRβ rearrangements after computationally down-sampling to a common number of T-cells. Results: Consistent with previous findings with Ven, rapid and sustained depletion of B-cells (CD19+/CD5-) was observed in patients treated with VenDd (median absolute count: 115 cells/ml at baseline vs 13 cells/ml at C2D1 (89% decrease), p<0.0001; vs 4 cells/ml at C5D1 (97% decrease), p<0.01). Significant reduction in NK cells (CD16+/CD56+) was also observed upon VenDd treatment (median absolute count: 179 cells/ml at baseline vs 30 cells/ml at C2D1 (83% decrease), p<0.0001; vs 16 cells/ml at C5D1 (91% decrease), p<0.01), which is consistent with previous results with D-containing regimens. Within the circulating T-cell population, a significant and sustained decrease in CD4+ T-cells (median absolute count: 421 cells/ml at baseline vs 251 cells/ml at C2D1 (40% reduction), p<0.0001; vs 211 cells/ml at C5D1 (50% reduction), p<0.01) was observed, with naïve and central memory CD4+ T-cells being more sensitive than effector memory T-cells (median absolute count: 61 cells/ml at baseline vs 34 cells/ml (45% reduction) at C3D1, p<0.01; 162 cells/ml at baseline vs 79 cells/ml (51% reduction) at C3D1, p<0.001; 151 cells/ml at baseline vs 120 cells/ml (21% reduction) at C3D1, p<0.01; respectively). A rapid and sustained decrease in immunosuppressive regulatory T-cells (CD4+/CD25 hi/CD127 dim) was observed in VenDd treated patients (median absolute count: 42 cells/ml at baseline vs 18 cells/ml at C2D1 (56% reduction), p<0.0001; vs 15 cells/ml at C5D1 (63% reduction), p<0.01). In contrast to the CD4+ T-cell subsets, a transient decrease in CD8+ T-cells was observed at C2D1 (median absolute count: 333 cells/ml at baseline vs 259 cells/ml at C2D1 (22% reduction), p<0.001) with levels returning to near-baseline by C3D1, including effector memory CD8+ T-cells. TCR-sequencing revealed a significant increase in T-cell clonality upon treatment with VenDd (Figure 1A). A significant decrease in T-cell richness was observed (Figure 1B), indicating a focusing of the T-cell repertoire. The observed increases in T-cell clonality upon VenDd treatment were due to expansion of both newly detected clones and clones that were present at baseline (Figure 1C). Finally, the immunomodulatory effects of VenDd described herein were consistent between the Ven dose cohorts (400 and 800mg). Conclusions: Treatment of t(11;14) RRMM patients with VenDd resulted in selective depletion of B-cells, NK-cells, and immunosuppressive regulatory T-cells, but not CD8+ T-cell subsets. Increased T-cell clonality indicates focusing of the T-cell repertoire and generation of an adaptive anti-myeloma immune response upon treatment with VenDd. The study is continuing with a randomized, open-label expansion that will further evaluate the safety and efficacy of VenDd in patients with t(11;14) RRMM, including correlative studies between the observed immune modifications and patient outcome. Figure 1 Figure 1. Disclosures Bahlis: Genentech: Consultancy; Pfizer: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Kaufman: Fortis Therapeutics: Research Funding; Sutro, Takeda: Research Funding; Roche/Genetech, Tecnopharma: Consultancy, Honoraria; Heidelberg Pharma: Research Funding; BMS: Consultancy, Research Funding; Janssen: Honoraria; Incyte, TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Tecnofarma SAS, AbbVie: Honoraria; Amgen: Research Funding; Novartis: Research Funding; Incyte, celgene: Consultancy; Genentech, AbbVie, Janssen: Consultancy, Research Funding. Baz: BMS, sanofi, Karyopharm, Janssen, AbbVie: Consultancy, Research Funding; Merck: Research Funding; GlaxoSmithKline: Consultancy, Honoraria; Oncopeptides: Consultancy. Quach: Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen/Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; CSL: Consultancy, Membership on an entity's Board of Directors or advisory committees; Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Plesner: Genmab, Genentech, Roche: Research Funding; Janssen, Celgene, Takeda, Oncopeptides, AbbVie: Consultancy, Research Funding. Moreau: Celgene BMS: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Sanofi: Honoraria; Abbvie: Honoraria; Oncopeptides: Honoraria. Gibbs: AbbVie: Consultancy; Janssen, Celgene, Amgen, Takeda, BMS and Pfizer: Consultancy, Honoraria. Bueno: AbbVie: Current Employment, Current equity holder in publicly-traded company. Luo: AbbVie: Current Employment, Current equity holder in publicly-traded company. Mantis: AbbVie: Current Employment, Current equity holder in publicly-traded company. Vishwamitra: AbbVie: Current Employment, Current equity holder in publicly-traded company. Ross: AbbVie: Current Employment, Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company. Harrison: Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche/Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Eusa: Consultancy, Honoraria, Speakers Bureau; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Haemalogix: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Terumo BCT: Consultancy, Honoraria; Janssen Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene/ Juno/ BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. OffLabel Disclosure: Venetoclax is a highly selective, potent, oral BCL-2 inhibitor that is being investigated as therapy for the treatment of relapsed/refractory multiple myeloma.

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: Essai non randomisé · Signal consensuel: aucune
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 recherche0,0000,000
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 Opus0,008
Tête enseignante GPT0,220
Écart entre enseignants0,212 · 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'étudeEssai non randomisé
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

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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