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Enregistrement W3097539251 · doi:10.1182/blood-2020-137161

Dose- and Schedule-Dependent Immunomodulatory Effects of the Novel Celmod Agent CC-92480 in Patients with Relapsed/Refractory Multiple Myeloma

2020· article· en· W3097539251 sur OpenAlexaff
Lilly Wong, Manisha Lamba, María Dolores Jiménez Nuñez, Daniel E. Bauer, Paul G. Richardson, Nizar J. Bahlis, Annette Juul Vangsted, Karthik Ramasamy, Suzanne Trudel, Joaquín Martínez‐López, María‐Victoria Mateos, Paula Rodríguez‐Otero, Sagar Lonial, Rakesh Popat, Albert Oriol, Chatchada Karanes, Robert Z. Orlowski, Jesús G. Berdeja, Michael Pourdehnad, Daniel W. Pierce

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésRefractory (planetary science)Multiple myelomaPomalidomideLenalidomideMedicineCarfilzomibOncologyInternal medicineThalidomideBiology

Résumé

récupéré en direct d'OpenAlex

Introduction: CC-92480 is an oral novel cereblon (CRBN) E3 ligase modulator (CELMoD) agent currently in phase 1/2 development in patients with relapsed/refractory multiple myeloma (RRMM). CC-92480 induces rapid degradation of the transcription factors Ikaros and Aiolos, leading to apoptosis of myeloma cells and immune-stimulatory effects. The innovative CC-92480-MM-001 phase 1 study design investigated the effects of a broad range of CC-92480 doses and schedules. The pharmacodynamic effects will be discussed in this analysis with a focus on modulation of immune cell subsets. Methods: An adaptive Bayesian dose-escalation design was used in the CC-92480-MM-001 study (NCT03374085) that allowed for evaluation of several dosing schedules. The continuous schedules included 10 days on followed by 4 days off × 2, and 21 days on followed by 7 days off in a 28-day cycle. The intensive schedules included 3 days on followed by 11 days off × 2, and 7 days on followed by 7 days off × 2. An intensive biomarker sampling program was included in the study to allow for characterization of pharmacodynamic changes. Peripheral blood and bone marrow aspirates (BMA) were obtained from patients enrolled in part 1 of the dose-escalation study for biomarker analysis. Samples were taken pre-dose and during treatment at multiple time points. Biomarker analyses included Ikaros and Aiolos levels in peripheral blood mononuclear cells by flow cytometry; CRBN, Aiolos, Ikaros, and ZFP91 expression by immunohistochemistry (IHC) in BMA; weekly levels of serum free light chain (sFLC) and soluble B-cell maturation antigen (sBCMA), and effects on immune cells in peripheral blood. CC-92480 plasma exposures were collected at several time points in Cycle 1. Results: CC-92480 1.0 mg, 21/28-days was selected as the recommended phase 2 dose (RP2D) based on tolerability, efficacy, and pharmacodynamic effects. Degradation of Ikaros and Aiolos was evident at all dose levels in bone marrow plasma cells independent of baseline CRBN staining intensity and prior treatment. In these heavily pretreated patients with RRMM, CC-92480 induced rapid and sustained decreases in sFLC (median 94%) and sBCMA (median 78%) in Cycle 1 at the RP2D. Ikaros and Aiolos degradation in peripheral blood T cells was dose-dependent and reached > 80% degradation at 0.6 mg and above. Substrate recovery occurred during drug holidays, with faster recovery at lower doses, and reached full recovery with ≥ 7-day breaks. Focusing on the immunomodulatory effects, dynamic and dose- and schedule-dependent changes were demonstrated in immune cell subtypes. B cells decreased with increasing dose and reached > 90% at 0.8 mg and above in the continuous schedules. Recovery was evident during drug holidays, especially at lower doses. T-cell proliferation by Ki-67 staining increased between 30% and 350% during treatment and returned toward baseline during drug holidays at lower doses and with longer breaks. NK-cell proliferation by Ki-67 staining was evident at all doses and peaked at approximately 1 week post dose regardless of schedule. T cells demonstrated a shift from naïve to effector phenotype at all doses and schedules, and showed an increase in activation markers, HLA-DR, CD38, and ICOS. Regulatory T cells increased by 90% and 130% at 0.8 mg and 1.0 mg, respectively. At the 1.0 mg dose (RP2D) and more continuous schedules (10/14 days × 2 and 21/28 days), higher percentages of proliferating CD3+CD4+ and CD3+CD8+ T cells associated with a clinical response. Conclusions: The novel study design and biomarker sampling have allowed us to understand how depth, duration, and recovery of Ikaros and Aiolos degradation lead to specific immune changes. CC-92480 pharmacodynamic activity was dose-dependent from 0.1 mg to 1.0 mg and recovery was dose- and schedule-dependent. These changes were also demonstrated in immune cell subsets. Dynamic changes of immune cell subsets in peripheral blood occurred in concert with Ikaros and Aiolos degradation and recovery, suggesting that immune profiles may be modified and optimized by dose and schedule. This new insight may be utilized to provide the rationale for dose and schedule for specific immune effects when combining with other immunotherapies, such as bispecific antibodies and CAR T cells. Disclosures Wong: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Lamba:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company; Pfizer: Current equity holder in publicly-traded company. Jiménez Nuñez:CITRE, a Bristol-Myers Squibb Company, Spain: Current Employment. Bauer:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Richardson:Celgene/BMS, Oncopeptides, Takeda, Karyopharm: Research Funding. Bahlis:Sanofi: Consultancy, Honoraria; BMS/Celgene and Janssen: Consultancy, Honoraria, Other: Travel, Accomodations, Research Funding; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Karyopharm Therapeutics: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Genentech: Consultancy, Honoraria. Ramasamy:Takeda: Consultancy, Research Funding, Speakers Bureau; BMS: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Oncopeptides: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding. Trudel:Pfizer: Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Genentech: Research Funding; GSK: Consultancy, Honoraria, Research Funding; Takeda, Karyopharm, AstraZeneca, Sanofi: Honoraria; Janssen: Honoraria, Research Funding; Amgen: Consultancy, Research Funding. Martínez-Lopez:Altum, Hosea: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Vivia Biotech: Honoraria; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Roche: Speakers Bureau; Janssen: Speakers Bureau; Incyte: Research Funding, Speakers Bureau; Bristol Myers Squibb: Research Funding, Speakers Bureau; Novartis: Research Funding. Mateos:EDOMundipharma: Consultancy; Adaptive: Consultancy; Pharmamar: Consultancy; GlaxoSmithKline: Consultancy; AbbVie: Consultancy; Takeda: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Janssen: Consultancy. Rodriguez-Otero:Oncopeptides: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Medscape: Membership on an entity's Board of Directors or advisory committees; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Sanofi: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Current Employment, Current equity holder in publicly-traded company, Honoraria; Kite: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria. Lonial:TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Other: Personal fees, Research Funding; Merck: Consultancy, Honoraria, Other: Personal fees; GSK: Consultancy, Honoraria, Other: Personal fees; Abbvie: Consultancy; Takeda: Consultancy, Other: Personal fees, Research Funding; Genentech: Consultancy; Karyopharm: Consultancy; Sanofi: Consultancy; Janssen: Consultancy, Honoraria, Other: Personal fees, Research Funding; JUNO Therapeutics: Consultancy; Millennium: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Other: Personal fees; Amgen: Consultancy, Honoraria, Other: Personal fees; Onyx: Honoraria. Popat:AbbVie: Consultancy, Honoraria; GSK: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Takeda: Consultancy, Honoraria, Other: Travel support, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Oriol:Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Orlowski:Amgen, Inc., AstraZeneca, BMS, Celgene, EcoR1 Capital LLC, Forma Therapeutics, Genzyme, GSK Biologicals, Ionis Pharmaceuticals, Inc., Janssen Biotech, Juno Therapeutics, Kite Pharma, Legend Biotech USA, Molecular Partners, Regeneron Pharmaceuticals, Inc.,: Honoraria, Membership on an entity's Board of Directors or advisory committees; Founder of Asylia Therapeutics, Inc., with associated patents and an equity interest, though this technology does not bear on the current submission.: Current equity holder in private company, Patents & Royalties; Sanofi-Aventis, Servier, Takeda Pharmaceuticals North America, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees; STATinMED Research: Consultancy; Laboratory research funding from BioTheryX, and clinical research funding from CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Research Funding. Berdeja:Amgen: Consultancy, Research Funding; Abbvie: Research Funding; Bluebird: Research Funding; Servier: Consultancy; Takeda: Consultancy, Research Funding; Vivolux: Research Funding; Kesios: Re

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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 seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
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 Opus0,012
Tête enseignante GPT0,224
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

Citations12
Publié2020
Routes d'admission1
Résumé présentoui

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