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Enregistrement W3212303742 · doi:10.1182/blood-2021-147915

Updated Results from MajesTEC-1: Phase 1/2 Study of Teclistamab, a B-Cell Maturation Antigen x CD3 Bispecific Antibody, in Relapsed/Refractory Multiple Myeloma

2021· article· en· W3212303742 sur OpenAlexaff
Philippe Moreau, Saad Z. Usmani, Alfred L. Garfall, Niels W.C.J. van de Donk, Hareth Nahi, Jesús F. San Miguel, Albert Oriol, Ajay K. Nooka, Thomas G. Martin, Laura Rosiñol, Ajai Chari, Lionel Karlin, Lotfi Benboubker, María‐Victoria Mateos, Nizar J. Bahlis, Rakesh Popat, Britta Besemer, Joaquín Martínez‐López, Surbhi Sidana, Lixia Pei, Danielle Trancucci, Raluca Verona, Suzette Girgis, Yunsi Olyslager, Mindy Jaffe, Clarissa Uhlar, Tara Stephenson, Rian Van Rampelbergh, Arnob Banerjee, Jenna D. Goldberg, Rachel Kobos, Amrita Krishnan

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMultiple myelomaAntibodyMedicineAntigenRefractory (planetary science)ImmunologyCancer researchBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Teclistamab (JNJ-64007957) is a T-cell redirecting, bispecific IgG4 antibody that targets both B-cell maturation antigen (BCMA) and CD3 receptors to induce T-cell mediated cytotoxicity of BCMA-expressing myeloma cells. Teclistamab is under investigation in MajesTEC-1, an ongoing phase 1/2 study in patients (pts) with heavily pretreated relapsed/refractory multiple myeloma (RRMM). Results from the phase 1 study (parts 1 and 2; NCT03145181) indicated that teclistamab is well tolerated at the recommended phase 2 dose (RP2D) and has encouraging efficacy, with an overall response rate (ORR) of 65% and very good partial response or better (≥VGPR) rate of 58% in 40 pts after a median of 6.1 mo of follow-up. Here we report for the first time initial data from the phase 2 portion of MajesTEC-1 (part 3; NCT04557098) and updated results for phase 1 pts treated at the RP2D. Methods: Pts (aged ≥18 years) were diagnosed with MM per International Myeloma Working Group (IMWG) criteria, had measurable disease and were exposed to a proteasome inhibitor, immunomodulatory drug, and anti-CD38 antibody. In phase 1, pts were relapsed, refractory or intolerant to established therapies. In phase 2, pts received ≥3 prior lines of therapy. The primary objectives in phase 1 were to identify the RP2D and to characterize safety and tolerability of teclistamab at the RP2D. The primary objective in phase 2 is to evaluate the efficacy of teclistamab at the RP2D (primary endpoint: ORR). Pts treated at the RP2D received a weekly dose of subcutaneous teclistamab 1500 µg/kg following step-up doses of 60 and 300 µg/kg. Responses reported here were investigator-assessed per IMWG criteria. Adverse events (AEs) are graded according to CTCAE v4.03. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) were graded according to ASTCT criteria. Results: As of June 14, 2021, 159 pts (median age 64.0 y [range 33-84]; 15% ≥75 y; 59% male) were treated at the RP2D (phase 1: 40 pts; phase 2: 119 pts). Pts received a median of 5 prior lines of therapy (range: 2-15); 100% were triple-class exposed, 69% were penta-drug exposed, 77% were triple-class refractory, and 29% were penta-drug refractory. As of the clinical cutoff, no new safety signals were identified in phase 2. The most common nonhematologic AEs in all 159 pts treated at the RP2D were CRS (67%; grade 1/2: 99%; 1 pt had a transient grade 3 event; median time to onset 2 days [range 1-6]; median duration 2 days [range 1-9]), injection site erythema (23%; all grade 1/2), and fatigue (22%; grade 3/4: 2%). The most common hematologic AEs were neutropenia (53%; grade 3/4: 45%), anemia (41%; grade 3/4: 27%), and thrombocytopenia (33%; grade 3/4: 18%). Four pts (2.5%) developed ICANS (all grade 1/2; all resolved). Pharmacokinetic and pharmacodynamic data from phase 2 support earlier phase 1 findings. Teclistamab exposure at the RP2D was sustained across the dosing interval and exceeded target exposure levels. Pharmacodynamic data for phase 1/2 pts treated at the RP2D showed induction of proinflammatory cytokines and T-cell activation, consistent with teclistamab's mechanism of action. At clinical cutoff for this abstract, efficacy data for the phase 2 study are immature. At a median follow-up of 8.2 mo (range 1.2-15.2), response rates in the 40 phase 1 pts treated at RP2D were consistent with previously presented data (ORR: 65% [95% CI 48-79]; ≥VGPR rate: 60% [95% CI 43-75]; complete response or better rate: 40% [95% CI 25-57]). Responses deepened over time, and with longer follow-up of responders compared with previously presented data (median follow-up of 9.5 mo vs 7.1 mo) remained durable (Figure). No additional responders had disease progression, and 85% (22/26) of responders are continuing on treatment, including 1 pt with 15.2 mo of follow-up. Median duration of response (DOR) has not been reached; the 6-month DOR rate is 90% [95% CI 63-97]. The efficacy data will be updated at the time of congress to include a minimum follow-up of ~6 mo for 150 pts treated at the RP2D (prior to March 19, 2021). Conclusions: Evaluation of teclistamab at the RP2D in 159 pts provides robust data to support safety; inclusion of phase 2 pts at the time of presentation will provide more robust efficacy data. Data from MajesTEC-1 continue to show that teclistamab monotherapy induces deep and durable responses in heavily pretreated pts with RRMM with a manageable safety profile. Figure 1 Figure 1. Disclosures Moreau: Celgene BMS: Honoraria; Sanofi: Honoraria; Janssen: Honoraria; Abbvie: Honoraria; Amgen: Honoraria; Oncopeptides: Honoraria. Usmani: Janssen Oncology: Consultancy, Research Funding; Takeda: Consultancy, Research Funding, Speakers Bureau; SkylineDX: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Merck: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Research Funding, Speakers Bureau; EdoPharma: Consultancy; GSK: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding, Speakers Bureau; Array BioPharma: Consultancy, Research Funding; Abbvie: Consultancy; Amgen: Consultancy, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Research Funding. Garfall: Amgen: Honoraria; Tmunity Therapeutics: Research Funding; Novartis: Research Funding; GSK: Honoraria; Janssen: Honoraria, Research Funding. van de Donk: BMS/Celgene: Consultancy, Honoraria; Janssen: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Cellectis: Research Funding; Takeda: Consultancy; Roche: Consultancy; Novartis /bayer/servier: Consultancy. Nahi: XNK Therapeutics AB: Consultancy. San-Miguel: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, GlaxoSmithKline, Janssen, Karyopharm, Merck Sharpe & Dohme, Novartis, Regeneron, Roche, Sanofi, SecuraBio, and Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees. Oriol: GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Nooka: GlaxoSmithKline: Consultancy, Other: Travel expenses; Bristol-Myers Squibb: Consultancy; Sanofi: Consultancy; Oncopeptides: Consultancy; Janssen Oncology: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Adaptive technologies: Consultancy; Karyopharm Therapeutics: Consultancy. Martin: Amgen: Research Funding; Sanofi: Research Funding; Janssen: Research Funding; GlaxoSmithKline: Consultancy; Oncopeptides: Consultancy. Rosinol: Janssen, Celgene, Amgen and Takeda: Honoraria. Chari: Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS/Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Shattuck Labs: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millenium/Takeda: Consultancy, Research Funding; Secura Bio: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Genzyme: Consultancy, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: 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; Pharmacyclics: Research Funding; Novartis: Consultancy, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Research Funding; Janssen Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Karlin: Abbvie: Honoraria; Amgen: Honoraria, Other: travel support and advisory board ; GSK: Honoraria, Other: member of advisory board; Janssen: Honoraria, Other: member of advisory board, travel support; Takeda: Honoraria, Other: member of advisory board; Celgene-BMS: Honoraria, Other: member of advisory board; Sanofi: Honoraria; oncopeptide: Honoraria. Mateos: Regeneron: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene - Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honor

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)0,006
score de la tête « metaresearch » (Gemma)0,004
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 enseignants0,006
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,030
Tête enseignante GPT0,321
Écart entre enseignants0,291 · 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

Citations40
Publié2021
Routes d'admission1
Résumé présentoui

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