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Enregistrement W3207994228 · doi:10.1182/blood-2021-148813

Phase 1b Results for Subcutaneous Talquetamab Plus Daratumumab in Patients with Relapsed/Refractory Multiple Myeloma

2021· article· en· W3207994228 sur OpenAlexaff
Ajai Chari, Parameswaran Hari, Nizar J. Bahlis, María‐Victoria Mateos, Niels W.C.J. van de Donk, Bhagirathbhai Dholaria, Alfred L. Garfall, Hartmut Goldschmidt, K. Martin Kortuem, Amrita Krishnan, Thomas G. Martin, Daniel Morillo Giles, Albert Oriol, Donna Reece, Cesar Rodriguez, Paula Rodríguez‐Otero, Jesús F. San Miguel, Saad Z. Usmani, Raluca Verona, Shun Xin Wang Lin, Thomas J. Prior, Mark Wade, Brendan M. Weiss, Jenna D. Goldberg, Elham Askari

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer CentreInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésDaratumumabMedicineInternal medicineCD38PomalidomideRefractory (planetary science)Multiple myelomaOncologyTumor lysis syndromeImmunologyGastroenterologyLenalidomideChemotherapyStem cellBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Novel agents are needed for multiple myeloma (MM), which remains incurable with most patients (pts) relapsing or becoming refractory to standard therapies. Talquetamab (Tal) is a bispecific antibody that binds to G protein-coupled receptor family C group 5 member D (GPRC5D), a receptor highly expressed on plasma cells with limited expression in healthy tissue, and CD3 to redirect T cells to GPRC5D-expressing MM cells. Tal monotherapy at the recommended phase 2 dose (RP2D) was well tolerated and yielded an overall response rate of 70% after 6.3 months of follow-up in pts with relapsed/refractory MM (RRMM) in the phase 1 MonumenTAL-1 study; responses were durable and continued to deepen over time. Daratumumab (Dara) is a monoclonal antibody approved for MM treatment that targets CD38 on MM cells, resulting in direct cytotoxicity of MM cells. Dara also impacts immune cell populations, ie, increasing helper and cytotoxic T cells and decreasing suppressive CD38+ immunoregulatory cells. Preclinical studies showed addition of Dara enhanced Tal-mediated lysis of MM cells, suggesting the combination may also increase clinical activity in pts with RRMM. We report initial findings for pts with RRMM who received Tal + Dara in a phase 1b multicohort study (TRIMM-2; NCT04108195). Methods: Eligible pts (aged ≥18 years) were diagnosed with MM 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 an IMiD. Pts were excluded if they had received an anti-CD38 therapy ≤90 days. Subcutaneous (SC) Tal and Dara were administered in 28-day cycles in different dosing cohorts (with step-up dosing for Tal). The primary objectives were to identify the RP2D of Tal in combination with Dara and to characterize the safety of Tal + Dara at the RP2D. Responses were assessed by IMWG criteria. Adverse events (AEs) were graded per CTCAE v5.0 (cytokine release syndrome [CRS] and immune effector cell-associated neurotoxicity syndrome [ICANS] graded per ASTCT guidelines). Results: As of Jul 23, 2021, 23 pts were administered SC Tal + Dara in separate cohorts: Dara 1800 mg + Tal 400 µg/kg weekly (n=8), + Tal 400 µg/kg biweekly (n=5), and + Tal 800 µg/kg biweekly (n=10). Median follow-up across the Tal + Dara cohorts was 2.9 months (range 0.3-11.2). Median age of pts treated with Tal + Dara was 68 years (range 44-81), and 52.2% were male. Pts had received a median of 6 prior lines of therapy (range 3-18); 82.6% were triple-class exposed (82.6% received prior Dara and 8.7% received prior isatuximab) and 73.9% were penta-drug exposed. Any grade AEs were reported in 95.7% of pts and grade 3/4 AEs in 78.3%. The most frequently reported AEs (≥30% across Tal + Dara cohorts) were dysgeusia (52.2%; all grade 1/2), neutropenia (39.1%; grade 3/4 30.4%), thrombocytopenia (39.1%; grade 3/4 21.7%), anemia (34.8%; grade 3/4 21.7%), CRS (34.8%; all grade 1/2), and skin exfoliation (30.4%; all grade 1/2). The median time to CRS onset was 2.5 days (range 2-4), and the median duration was 2 days (range 1-3). Infections occurred in 34.8% of pts (grade 3/4 17.4%). Skin disorders were reported in 65.2% of pts (grade 3/4 13.0%), including nail disorders in 17.4% (all grade 1/2); these events were manageable and did not lead to treatment discontinuation. Two events of ICANS were reported (a grade 1 event [concurrent with CRS] and a grade 3 event), both of which resolved and did not recur. One pt in the Dara 1800 mg + Tal 400 μg/kg biweekly cohort died due to disease progression. Responses in different dosing cohorts are shown in the Table. The median time to first response across Tal + Dara cohorts was 1.0 month (range 0.9-2.4), and median duration of response was not reached. The pharmacokinetic profile of Tal was similar to that observed in the phase 1 monotherapy study. Tal + Dara treatment resulted in proinflammatory cytokine production and T-cell activation, evidenced by interferon-γ and tumor necrosis factor-α induction and PD-1 and CD38 upregulation on peripheral T cells, respectively. Updated data with longer follow-up will be presented at the congress. Conclusions: Tal in combination with Dara was well tolerated, with a safety profile comparable to the monotherapies, and showed promising efficacy in pts with RRMM. These findings support further clinical development of Tal + Dara combination therapy. Figure 1 Figure 1. Disclosures Chari: BMS/Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; 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; Pharmacyclics: Research Funding; Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millenium/Takeda: Consultancy, Research Funding; Genentech: 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; Novartis: Consultancy, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; 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; Janssen Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Research Funding; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees. Hari: Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Karyopharm: Consultancy; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Adaptive Biotech: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene-BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding, Speakers Bureau. Bahlis: Janssen: Consultancy, Honoraria; Genentech: Consultancy; BMS/Celgene: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Mateos: Sea-Gen: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Regeneron: 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: 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; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bluebird bio: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Honoraria; Oncopeptides: Honoraria. van de Donk: Janssen Pharmaceuticals: 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; Bristol Myers Squibb: 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; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Cellectis: Research Funding. Dholaria: Janssen: Research Funding; Takeda: Research Funding; Jazz: Speakers Bureau; MEI: Research Funding; Angiocrine: Research Funding; Poseida: Research Funding; Celgene: Speakers Bureau; Pfi

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 enseignants0,009
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,002

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 Opus0,018
Tête enseignante GPT0,283
Écart entre enseignants0,264 · 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

Citations17
Publié2021
Routes d'admission1
Résumé présentoui

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