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Enregistrement W3210721043 · doi:10.1182/blood-2021-148723

Subcutaneous Teclistamab in Combination with Daratumumab for the Treatment of Patients with Relapsed/Refractory Multiple Myeloma: Results from a Phase 1b Multicohort Study

2021· article· en· W3210721043 sur OpenAlexaff
Paula Rodríguez‐Otero, Bhagirathbhai Dholaria, Elham Askari, Donna Reece, Niels W.C.J. van de Donk, Ajai Chari, Hartmut Goldschmidt, Amrita Krishnan, Thomas G. Martin, María‐Victoria Mateos, Daniel Morillo Giles, Cesar Rodriguez, Laura Rosiñol, Jesús F. San Miguel, Anna Sureda, Ralph Wäsch, Katja Weisel, Raluca Verona, Shun Xin Wang Lin, Thomas J. Prior, Brendan M. Weiss, Mark Wade, Jenna D. Goldberg, Albert Oriol, Parameswaran Hari

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineDaratumumabInternal medicineOncologyPhases of clinical researchGastroenterologyLenalidomideMultiple myelomaClinical trial

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Teclistamab (Tec) is a B-cell maturation antigen × CD3 T-cell redirecting bispecific antibody. In the phase 1 MajesTEC-1 trial in patients (pts) with heavily pretreated relapsed/refractory multiple myeloma (RRMM), Tec monotherapy was well tolerated and yielded an overall response rate of 65% and very good partial response or better rate of 58% at the recommended phase 2 dose (RP2D) with 6.1 months' median follow-up; responses were durable and deepened over time. Daratumumab (Dara) is a monoclonal antibody that targets CD38 and is approved for the treatment of MM. In addition to direct cytotoxicity, Dara has immunomodulatory effects, including promotion of T-cell expansion and depletion of suppressive CD38+ immunoregulatory cells, making it a rational partner for T-cell redirection. In preclinical studies, the lytic activity of Tec against MM cell lines was enhanced by pretreatment and combination treatment with Dara. By targeting discrete yet complementary antigens, combination of Tec and Dara may improve efficacy in pts with RRMM. We present data for pts with RRMM who received Tec + Dara in a phase 1b multicohort study (TRIMM-2; NCT04108195). Methods: Eligible pts were ≥18 years of age with an MM diagnosis and had received ≥3 prior lines of therapy (including a proteasome inhibitor [PI] and immunomodulatory drug [IMiD]) or were double refractory to a PI and IMiD. Pts who had received anti-CD38 therapy ≤90 days were excluded. In Tec + Dara cohorts, treatment was administered in 28-d cycles (with step-up dosing for Tec). The primary objectives were to identify the RP2D for the Tec + Dara combination and evaluate its safety. This analysis focuses on subcutaneous (SC) cohorts in the study. Responses were assessed by IMWG criteria and adverse events (AEs) by CTCAE v5.0, except for cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS), which were graded per ASTCT guidelines. Results: A total of 33 pts received SC Tec + Dara in different dosing cohorts: Dara 1800 mg + Tec 1500 µg/kg weekly (n=21), + Tec 3000 µg/kg weekly (n=5), + Tec 300 mg biweekly starting Cycle 3 Day 1 (Tec 150 mg weekly in Cycles 1-2; n=2), and + Tec 3000 µg/kg biweekly (n=5). Nine pts in the Dara 1800 mg + Tec 1500 µg/kg weekly cohort switched to Tec 3000 μg/kg biweekly dosing after Cycle 3 Day 1. As of the data cutoff (Jun 22, 2021), median follow-up across Tec + Dara cohorts was 3.6 months (range 0.1-10.4). Median pt age was 67 years (range 51-78) and 57.6% were female. Median number of lines of prior therapy was 5 (range 2-16); 69.7% of pts were triple-class exposed (prior anti-CD38 therapy was Dara in all 69.7%) and 60.6% were penta-drug exposed. Overall, 97.0% of pts had ≥1 AE of any grade; 66.7% had grade 3/4 AEs. The most common AE was CRS (54.5%; all grade 1/2); median time to onset was 2 days (range 1-6), and median duration was 2 days (range 1-7). Other AEs (≥30% across Tec + Dara cohorts) were neutropenia (36.4%; all grade 3/4), thrombocytopenia (36.4%; grade 3/4 33.3%), anemia (36.4%; grade 3/4 24.2%), diarrhea (36.4%; grade 3/4 3.0%), nausea (30.3%; all grade 1/2), and pyrexia (30.3%; all grade 1/2). Infections occurred in 51.5% of pts (grade ≥3 24.2%). No ICANS events were reported. One pt in the Dara 1800 mg + Tec 3000 µg/kg weekly cohort died due to bacterial pneumonia (unrelated to treatment) during Cycle 1, and 1 in the Dara 1800 mg + Tec 1500 µg/kg weekly cohort died due to progressive disease. Responses in different dosing cohorts are shown in the Table. Across Tec + Dara cohorts, median time to first response was 1.0 month (range 0-1.9). Median duration of response was not reached. Tec + Dara treatment led to proinflammatory cytokine production (induction of interferon-γ and tumor necrosis factor-α) and T-cell activation (upregulation of programmed cell death protein-1 and CD38 on peripheral T cells). The Tec pharmacokinetic profile was similar to that in MajesTEC-1. Data will be updated with longer follow-up at the time of the congress. Conclusions: The combination of Tec + Dara had a manageable safety profile, consistent with the monotherapies, and showed preliminary efficacy in pretreated pts with MM; with longer follow-up, responses may continue to deepen, as has been seen with Tec monotherapy. These promising data warrant further investigation; the randomized phase 3 MajesTEC-3 study will evaluate Tec + Dara vs Dara, pomalidomide, and dexamethasone or Dara, bortezomib, and dexamethasone in pts with RRMM. Figure 1 Figure 1. Disclosures Rodriguez-Otero: Amgen: Honoraria; Kite: 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; Pfizer: Consultancy; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene-BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Clínica Universidad de Navarra: Current Employment; Regeneron: Honoraria. Dholaria: Takeda: Research Funding; Janssen: Research Funding; Pfizer: Research Funding; Jazz: Speakers Bureau; MEI: Research Funding; Angiocrine: Research Funding; Poseida: Research Funding; Celgene: Speakers Bureau. Askari: Janssen: Research Funding. Reece: Karyopharm: Consultancy, Research Funding; GSK: Honoraria; Millennium: Research Funding; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; BMS: Honoraria, Research Funding; Sanofi: Honoraria; Takeda: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding. van de Donk: Cellectis: Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Janssen Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: 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, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Chari: Oncopeptides: 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; Secura Bio: Consultancy, Membership on an entity's Board of Directors or advisory committees; Shattuck Labs: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Millenium/Takeda: Consultancy, Research Funding; Sanofi Genzyme: 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; Pharmacyclics: Research Funding; Antengene: 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; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Goldschmidt: MSD: Research Funding; Mundipharma: Research Funding; Novartis: Honoraria, Research Funding; Dietmar-Hopp-Foundation: Other: Grant; Sanofi: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Takeda: Consultancy, Research Funding; Molecular Partners: Research Funding; Johns Hopkins University: Other: Grant; Janssen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Incyte: Research Funding; GSK: Honoraria; Chugai: Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; BMS: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Celgene: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Adaptive Biotechnology: Consultancy; Amgen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding. Krishnan: City of Hope Cancer Center: Current Employment; JANSSEN: Consultancy, Research Funding; BMS: Consultancy, Current equity holder in publicly-traded company, Speakers Bureau; MAGENTA: Consultancy; REGENERON: Consultancy; SANOFI: Consultancy; GSK: Consultancy; Amgen: Speakers Bureau. Martin: Sanofi: Research Funding; Oncopeptides: Consultancy; Janssen: Research Funding; Amgen: Research Funding; GlaxoSmithKline: Consultancy. Mateos: Pfizer: Honoraria, Membership on an en

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)0,003
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 enseignants0,003
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,021
Tête enseignante GPT0,289
Écart entre enseignants0,268 · 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

Citations21
Publié2021
Routes d'admission1
Résumé présentoui

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