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Enregistrement W4389247674 · doi:10.1182/blood-2023-186997

Safety and Tolerability of Magrolimab Combinations in Patients with Relapsed/Refractory Multiple Myeloma (RRMM): Safety Run-in Results from a Phase 2 Study

2023· article· en· W4389247674 sur OpenAlexaff
Barry Paul, Jiří Minařík, Francesca Cottini, Cristina Gasparetto, Jack Khouri, Mitul Gandhi, Jens Hillengaß, Moshe Levy, Michaela Liedtke, Sudhir Manda, Irwindeep Sandhu, Douglas W. Sborov, Ivan Špıčka, Saad Z. Usmani, Lin Gu, Michelle Robeson, Michael Murphy, Camille Renard, Christine Chen, Luděk Pour

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineTolerabilityPomalidomideLenalidomideMultiple myelomaInternal medicineAdverse effectDexamethasoneNeutropeniaPharmacologyDaratumumabOncologyToxicity

Résumé

récupéré en direct d'OpenAlex

Background Outcomes remain poor for patients (pts) with RRMM; thus, novel combinations incorporating standard-of-care (SOC) regimens with new drugs possessing unique mechanisms of action and nonoverlapping toxicity are needed. Magrolimab (Magro) is a first-in-class monoclonal immunoglobulin G4 antibody blocking CD47, an antiphagocytic signal overexpressed in cancer cells, including MM, enabling them to evade phagocytosis. In vitro, blocking CD47 resulted in elimination of MM cells, and preclinical data suggested that Magro may synergize with commonly used agents in MM. Reported here are initial safety and tolerability data from 3 safety run-in (SRI) cohorts of our phase 2, open-label, multiarm study (NCT04892446) in which Magro-based combinations were evaluated in pts with RRMM. Methods Adult pts with RRMM were eligible if they had received ≥3 prior lines of therapy for MM, including an immunomodulatory drug and a proteasome inhibitor. In the SRI cohorts, pts received Magro in the following combinations: with daratumumab (Magro + D), pomalidomide/dexamethasone (Magro + Pd), or carfilzomib/dexamethasone (Magro + Kd). At the initial dose level tested, Magro was given intravenously as a 1-mg/kg priming dose, followed by a maintenance dose of 30 mg/kg every week during the first 2 cycles and then every 2 weeks starting in cycle 3. All other therapies were administered at standard doses and schedules per clinical guidelines. Dose-limiting toxicities (DLTs) were evaluated throughout cycle 1 (35 days); cycles were 28 days thereafter. Primary end points of the SRI included incidence of adverse events (AEs) and DLTs. Pts were included in the DLT-evaluable population if they met 1 of 2 criteria: (1) experienced a DLT during cycle 1 or (2) completed cycle 1 and received ≥3 Magro infusions and ≥2 (D, d, K) or ≥10 (P) doses of the SOC agents. DLTs were generally defined as grade (gr) ≥3 AEs that worsened from baseline and were at least possibly Magro-related (with a few exceptions, including gr 3 anemia and gr 3 neutropenia resolving within 2 weeks). Dose de-escalation of Magro was planned in the event of >2 DLTs per 6 DLT-evaluable pts. Results Of the 25 pts treated in the SRI (Magro + D, n = 9 [6 DLT evaluable]; Magro + Pd, n = 9 [6 DLT evaluable]; Magro + Kd, n = 7 [5 DLT evaluable]), all were treated at the Magro initial dose level. Median (range) age was 59 (55-78) years for Magro + D, 69 (46-79) years for Magro + Pd, and 64 (57-82) years for Magro + Kd. The mean (range) number of prior lines of therapy received was 5.2 (3-9). Two DLTs were reported: gr 3 febrile neutropenia (Magro + D) and gr 3 dyspnea (Magro + Pd) experienced in a context of probable infusion-related reaction (IRR). No DLTs were reported in the Magro + Kd arm. All pts experienced ≥1 treatment-emergent AE (TEAE); all but 2 experienced ≥1 Magro-related TEAE ( Table 1). The most common Magro-related TEAE observed in each cohort was anemia; other common Magro-related TEAEs were headache (Magro + D), fatigue (Magro + D, Magro + Pd), and thrombocytopenia (Magro + Kd). Magro-related anemia was reported in 13 of 25 pts (gr ≥3, n = 6). There were 3 pts with Magro-related IRRs (all gr 1-2: Magro + Kd, n = 1; Magro + D, n = 2) and 1 pt with a subcutaneous D-related IRR. Gr 3-4 Magro-related TEAEs reported in >1 pt in any cohort were anemia (Magro + D, n = 3; Magro + Pd, n = 2), decreased neutrophil count (Magro + Pd, n = 2), and decreased platelet count (Magro + Pd, n = 2). Serious Magro-related TEAEs occurred in 3 of 9 pts in the Magro + D cohort (febrile neutropenia, a DLT, on day 12; anemia on day 21; bacteremia on day 135), 1 of 9 pts in the Magro + Pd cohort (dyspnea, a DLT, on day 9 followed by febrile neutropenia on day 22 occurring in the same pt), and 1 of 7 pts in the Magro + Kd cohort (pneumonia on day 75). One pt (in the Magro + Pd arm) discontinued treatment due to Magro-related TEAEs reported on day 15 (gr 1 fatigue, gr 3 decreased neutrophil count, gr 3 decreased white blood cell count). No TEAEs leading to death occurred. Conclusion Magro demonstrated an acceptable safety profile with minimal additive toxicity when given in combination with SOC regimens for pts with heavily pretreated RRMM.

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)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
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 Opus0,018
Tête enseignante GPT0,286
Écart entre enseignants0,269 · 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

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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