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Enregistrement W4380083458 · doi:10.1002/hon.3164_446

Glofitamab plus immunochemotherapy demonstrates durable efficacy with manageable safety in relapsed/refractory non‐Hodgkin lymphoma (R/R NHL): update of a Phase Ib study

2023· article· en· W4380083458 sur OpenAlexaff
William Townsend, Max S. Topp, Michael Dickinson, Michael Crump, Martin Hutchings, Monica Tani, Amitkumar Mehta, Armando Santoro, Reinhard Marks, Pauline Baumlin, Dan S. Kaufman, Chin‐Lee Wu, Martin Barrett, K. Humphrey, Naseer Qayum, Nilanjan Ghosh

Notice bibliographique

RevueHematological Oncology · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesF. Hoffmann-La Roche
Mots-clésMedicineTolerabilityObinutuzumabInternal medicineRituximabCHOPRefractory (planetary science)GastroenterologyLymphomaCD20OncologyDosingPhases of clinical researchImmunologyAdverse effectChemotherapyBiology

Résumé

récupéré en direct d'OpenAlex

Introduction: Glofitamab (Glofit) is a novel T-cell engaging bispecific antibody. Its 2:1 molecular configuration allows bivalent binding to CD20 on B cells and monovalent binding to CD3 on T cells, enabling combination with anti-CD20 antibody therapies such as rituximab. This Phase Ib study, NCT03467373, was designed to assess the safety, tolerability, and efficacy of Glofit in combination with R-CHOP in patients (pts) with R/R NHL prior to assessing this combination as a first-line therapy for pts with diffuse large B-cell lymphoma. Here, we present the updated efficacy and safety of Glofit plus R-CHOP in pts with R/R NHL from the dose-escalation phase after ≥2 years’ follow-up. Methods: Pts with R/R NHL received pretreatment with R- or obinutuzumab-CHOP in Cycle (C) 1. From C2 onwards, pts received R-CHOP plus increasing Glofit doses in separate cohorts (70 µg, 1800 µg, 10 mg, 30 mg) for 6–8 21-day cycles. In the 70 and 1800 µg cohorts, Glofit was given as a fixed dose on C2 Day (D) 8 onwards; in the 10 and 30 mg cohorts, pts received step-up dosing (SUD) in C2 (C2D8, 2.5 mg; C2D15, 10 mg; C3D8 onwards, target dose). Pts with a complete response (CR), partial response or stable disease were permitted to receive Glofit maintenance at their fixed or target dose every 2 months for up to 2 years. Efficacy endpoints included investigator-assessed best overall response rate (BORR) and duration of response (DoR). Results: At data cut-off (14 November 2022) 31 pts (23 follicular lymphoma [FL]; 6 transformed FL; 1 marginal-zone lymphoma; 1 mantle-cell lymphoma) had been enrolled and treated with Glofit plus R-CHOP (SUD, n = 20; fixed dose, n = 11). Median time on study was 30.7 months (range: 1–47); median age was 62 years (range: 34–78); median prior lines of therapy was 2 (range: 1–5). In the fixed-dose cohort, BORR during treatment was 82% (9/11 pts) and complete metabolic response (CMR) rate was 64% (7/11 pts). The median DoR and duration of complete response (DoCR; months) were not reached (NR; 95% CI: 6.1– not estimable [NE] for DoR and DoCR; Figure); median progression-free survival (PFS) was NR (95% CI: 7.7–NE). In the SUD cohort, the BORR during treatment was 95% (19/20 pts); CMR rate was 95% (19/20 pts). The median DoR was 28.4 months (95% CI: 21.6–NE), median DoCR was 25.4 months (95% CI: 17.9–NE; Figure); median PFS was 30.7 months (95% CI: 14.6–NE). Grade (gr) ≥3 adverse events (AEs) occurred in 29/31 pts (94%); serious AEs occurred in 23/31 pts (74%); 3 pts (10%) had fatal AEs (n = 2, COVID-19 pneumonia; n = 1, acute myeloid leukemia). Six pts (19%) withdrew from treatment due to an AE; cytokine release syndrome (CRS) occurred in 16/31 pts (52%; gr 1/2, 12 pts; gr 3/4, 4 pts). The research was funded by: Study NCT03467373 was sponsored by F. Hoffmann-La Roche Ltd. Third-party medical writing assistance, under the direction of all authors, was provided by Ellie Sherwood, MPhil, and Emily Lynch, PhD, of Ashfield MedComms, an Inizio company, and was funded by F. Hoffmann-La Roche Ltd. Keywords: Aggressive B-cell non-Hodgkin lymphoma, Immunotherapy, Indolent non-Hodgkin lymphoma Conflicts of interests pertinent to the abstract. W. Townsend Employment or leadership position: University College London Hospitals Consultant or advisory role: F. Hoffmann-La Roche Ltd., Gilead, Takeda, and Incyte Honoraria: F. Hoffmann-La Roche Ltd., Takeda, Gilead, Incyte Research funding: F. Hoffmann-La Roche Ltd. Other remuneration: Travel, accommodation, expenses - F. Hoffmann-La Roche Ltd., Takeda M. S. Topp Consultant or advisory role: AbbVie, AstraZeneca, BMS, Genmab, Iovance, Janssen, KITE, F. Hoffmann-La Roche Ltd. Research funding: KITE, Regeneron, F. Hoffmann-La Roche Ltd. Other remuneration: Travel, accommodation, expenses - Gilead M. Dickinson Consultant or advisory role: Novartis, BMS, Gilead, F. Hoffmann-La Roche Ltd., Janssen, AbbVie, Genmab Honoraria: F. Hoffmann-La Roche Ltd., Amgen, MSD, Janssen, BMS, Novartis, Gilead, AbbVie Research funding: Novartis, F. Hoffmann-La Roche Ltd., Takeda, Celgene, MSD, AbbVie, Lilly Other remuneration: Travel, accommodation, expenses - F. Hoffmann-La Roche Ltd. M. Crump Honoraria: Kyte-Gilead, Novartis Research funding: Roche M. Hutchings Consultant or advisory role: Takeda, F. Hoffmann-La Roche Ltd., Genmab, Janssen, AbbVie Research funding: Celgene, Genmab, F. Hoffmann-La Roche Ltd., Takeda, Novartis, Janssen, Merck, AbbVie, AstraZeneca M. Tani Consultant or advisory role: AbbVie, Kiowa-Kirin, Incyte A. Mehta Consultant or advisory role: Kite-Gilead, BMS, SeaGen, AstraZeneca, Incyte/Morphosis, Kyowa Kirin, BeiGene, F. Hoffmann-La Roche Ltd./Genetech, Inc. Research funding: Incyte, Takeda, forty seven inc/Gilead, Juno pharmaceuticals/BMS, Celgene/BMS, Oncotartis, Innate pharmaceuticals, Seattle Genetics, TG Therapeutics, Affimed, Merck, Kite/Gilead, F. Hoffmann-La Roche Ltd./Genentech, Inc., ADC therapeutics, Miragen, Rhizen Pharmaceuticals Other remuneration: Speaker's Bureau - BeiGene, Incyte-Morphosis, Kite-Gilead, Kyowa Kirin, BMS A. Santoro Consultant or advisory role: Arqule, Sanofi, Incyte Other remuneration: speaker's bureau - Takeda, BMS, Roche, AbbVie, Amgen, Celgene, Servier, Gilead, AstraZeneca, Pfizer, Arqule, Eli-Lilly, Sandoz, Eisai, Novartis, Bayer, MSD; membership on an entity's board of directors or advisory committees R. Marks Honoraria: Kite/Gilead, Merck Other remuneration: Travel, accommodation, expenses - Kite/Gilead P. Baumlin Employment or leadership position: F. Hoffmann-La Roche Ltd. D. Kaufman Employment or leadership position: Genentech, Inc./F. Hoffmann-La Roche Ltd. Stock ownership: Genentech, Inc./F. Hoffmann-La Roche Ltd. C. Wu Employment or leadership position: Roche (China) Holding Lmt. Stock ownership: F. Hoffmann-La Roche Ltd. Other remuneration: Travel, accommodation, expenses - Roche (China) Holding Lmt. M. Barrett Employment or leadership position: Roche Products Ltd. Stock ownership: F. Hoffmann-La Roche Ltd. K. Humphrey Employment or leadership position: F. Hoffmann-La Roche Ltd. Stock ownership: F. Hoffmann-La Roche Ltd. N. Qayum Employment or leadership position: F. Hoffmann-La Roche Ltd. Stock ownership: F. Hoffmann-La Roche Ltd. N. Ghosh Consultant or advisory role: Seagen, TG Therapeutics, AstraZeneca, Phamacyclics, Janssen, Bristol Myers Squibb, Gilead Sciences, BeiGene, Incyte, Karyopharm, Roche/Genentech, Syncopation Novartis, Loxo Oncology, Genmab, AdaptiveBiotech, ADC Therapeutics Research funding: TG Therapeutics, Genentech/Roche, Bristol Myers Squibb, Gilead, Morphosys, AbbVie Other remuneration: Speaker’s bureau - Gilead, AstraZeneca, Bristol Myers Squibb, Phamacyclics, Janssen, Epizyme

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,253
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,036
Tête enseignante GPT0,364
Écart entre enseignants0,327 · 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 tête enseignante, pas un consensus.

Devis d'étudeEssai 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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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