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Enregistrement W2984742939 · doi:10.1182/blood-2019-123933

Pharmacodynamic Effects and Immune Correlates of Response to the CD20/CD3 Bispecific Antibody Mosunetuzumab in Relapsed or Refractory Non-Hodgkin Lymphoma

2019· article· en· W2984742939 sur OpenAlexaff
Genevive Hernandez, Ling‐Yuh Huw, Anton Belousov, Deanna Wilson, Hartmut Koeppen, Ron McCord, Kun Peng, Nancy L. Bartlett, Lihua E. Budde, Sarit Assouline, Loretta J. Nastoupil, Dok Hyun Yoon, Matthew J. Matasar, Brendan C. Bender, Antonia Kwan, Chi‐Chung Li, Carol O’Hear, Shen Yin, Michael C. Wei, Joanne I. Adamkewicz

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueMonoclonal and Polyclonal Antibodies Research
Établissements canadiensMcGill UniversityJewish General Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineLymphomaRefractory (planetary science)Immune systemPharmacodynamicsCD20ImmunologyAntibodyRituximabInternal medicineBiologyPharmacokinetics

Résumé

récupéré en direct d'OpenAlex

Introduction: Mosunetuzumab (M; RG7828) is a full-length, fully humanized immunoglobulin G1 (IgG1) bispecific antibody targeting both CD3 (on the surface of T cells) and CD20 (on the surface of B cells). It drives tumor B-cell killing independent of T-cell specificity and has been shown clinically to have single-agent activity in relapsed or refractory non-Hodgkin lymphoma, with durable complete responses (CR) at doses as low as 1.2mg (Budde et al. ASH 2018). We present biomarker data from the ongoing first-in-human multicenter Phase I/Ib study GO29781 (NCT02500407), highlighting acute pharmacodynamic effects that confirm mechanism of action (MOA), support Cycle 1 step-up dosing to mitigate cytokine-driven toxicities, and potentially predict response. Methods: Patients (pts) with biomarker data in Group A (0.05 to 2.8mg q3w dosing, n=30) and Group B (0.4/1/2.8 to 1/2/40.5mg Cycle 1 Day 1/8/15 step-up dosing, followed by q3w dosing) were included in the analyses. Peripheral biomarkers were evaluated using whole blood flow cytometry, plasma cytokine ELISA, and ex-vivo single-cell cytokine assay of cryopreserved peripheral blood mononuclear cells. Tumor biomarkers were assessed through CD20 immunohistochemistry and CD8/Ki67 immunofluorescence staining. Average CD20 receptor occupancy (RO%), which takes into account residual levels of rituximab that may compete with M for target binding, was used to characterize the exposure-pharmacodynamic response relationship (Li et al. ASH 2019). Results: Pharmacodynamic changes were observed in peripheral blood by 4 hours (hrs) after infusion of sub-efficacious doses of M in Group A. Transient reduction of circulating T cells was evident starting at the lowest doses administered of 0.05-0.2mg, with decreased cell numbers by 4 hrs after infusion and recovery by 72 hrs. At doses between 0.4-0.8mg, T-cell activation was observed in some pts, as evidenced by upregulation of CD69 on both CD8+ and CD4+ T cells and elevation of IFN-γ in plasma. At 1.2mg (minimal efficacious dose) to 2.8mg, all of these changes were detected in the majority of pts. M induced depletion of circulating B cells immediately after the first dose, which was sustained for the duration of treatment, even in pts refractory to prior anti-CD20 therapy. IL-6 levels peaked within 24 hrs of the Cycle 1 Day 1 dose and the kinetics of IL-6 increase were associated with the onset of cytokine release syndrome (CRS). Hence, step-up dosing at Cycle 1 was implemented in Group B to maintain the IL-6 peak at reasonably low levels and reduce the risk of toxicity. With step-up dosing, pharmacodynamic changes, including transient T-cell decrease, T-cell activation, and cytokine production, remained strongest within 4 hrs of the Cycle 1 Day 1 dose, despite higher subsequent and total cumulative doses. IL-6 peaks were similar in Group A and Group B and were in line with the low grades of CRS observed to date (Schuster et al. ASH 2019). In pts for whom the Cycle 1 Day 1 dose was fixed at 1mg, the acute pharmacodynamic changes were found to be associated with RO% at Day 1. In a subset of diffuse large B-cell lymphoma pts, functional assays showed that peripheral T cells taken at baseline from pts who achieved CR secreted multiple effector cytokines, such as IFN-γ, TNF-α, and Granzyme B, upon M stimulation ex vivo, whereas T cells from pts with progressive disease did not show this capacity. Analysis of tumor biopsies showed similar baseline levels of CD8+ tumor infiltrating T-cells (TILs) between responders and non-responders. M induced increases in CD8+ TILs, which were mostly Ki67-, as early as Cycle 1. The median on-treatment CD8+ TIL level was significantly higher in responders than non-responders. Conclusions: T-cell activation, cytokine elevation, and B-cell depletion in the periphery are among the earliest biomarkers of M activity and precede clinical responses. Acute pharmacodynamic changes confirm the MOA and inform dose/schedule selection. In particular, the 1mg Cycle 1 Day 1 dose, which was chosen to mitigate CRS and to dissociate toxicity and efficacy at higher subsequent doses, still induced potent pharmacodynamic changes. Finally, the data suggest a model whereby clinical efficacy may be critically dependent on activation and migration of functional T cells from the periphery into the tumor bed. Disclosures Hernandez: Genentech, Inc.: Employment, Equity Ownership. Huw:Roche/ Genentech: Employment, Equity Ownership. Belousov:Roche: Employment. Wilson:Genentech, Inc.: Employment. Koeppen:Genentech, Inc.: Employment; Roche: Equity Ownership. McCord:Roche: Equity Ownership; Genentech, Inc.: Employment. Peng:Genentech inc. / Roche: Employment, Equity Ownership. Bartlett:Affimed: Research Funding; Forty Seven: Research Funding; Celgene: Research Funding; Merck: Research Funding; Millennium: Research Funding; Gilead: Research Funding; Genentech, Inc.: Research Funding; Pharmacyclics: Research Funding; Autolus: Research Funding; ADC Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Research Funding; Pfizer: Research Funding; Immune Design: Research Funding; Incyte: Research Funding; Janssen: Research Funding; Kite Pharma: Research Funding; Merck: Research Funding; Millennium: Research Funding; Pfizer: Research Funding; Pharmacyclics: Research Funding; Pharmacyclics: Research Funding; Pfizer: Research Funding; Millennium: Research Funding; Merck: Research Funding; Kite Pharma: Research Funding; Kite Pharma: Research Funding. Budde:F. Hoffmann-La Roche Ltd: Consultancy. Assouline:Pfizer: Consultancy, Honoraria, Speakers Bureau; Abbvie: Consultancy, Honoraria; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau. Nastoupil:Celgene: Honoraria, Research Funding; Genentech, Inc.: Honoraria, Research Funding; Bayer: Honoraria; Gilead: Honoraria; Janssen: Honoraria, Research Funding; Novartis: Honoraria; TG Therapeutics: Honoraria, Research Funding; Spectrum: Honoraria. Yoon:F. Hoffmann-La Roche Ltd: Research Funding. Matasar:Juno Therapeutics: Consultancy; Merck: Consultancy, Equity Ownership; Roche: Consultancy, Honoraria, Other: Travel, accommodation, expenses , Research Funding; Bayer: Consultancy, Honoraria, Other; Genentech, Inc.: Consultancy, Honoraria, Other: Travel, accommodation, expenses , Research Funding; Seattle Genetics: Consultancy, Honoraria, Other: Travel, accomodation, expenses, Research Funding; Rocket Medical: Consultancy, Research Funding; Teva: Consultancy; Janssen: Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; GlaxoSmithKline: Honoraria, Research Funding; Daiichi Sankyo: Consultancy; Bayer: Other: Travel, accommodation, expenses. Bender:Genentech, Inc.: Employment, Equity Ownership. Kwan:Genentech, Inc: Employment, Equity Ownership. Li:F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. O'Hear:F. Hoffmann-La Roche Ltd: Equity Ownership; Genentech, Inc.: Employment. Yin:Genentech, Inc.: Employment, Equity Ownership. Wei:Genentech, Inc./F. Hoffmann-La Roche Ltd: Employment, Equity Ownership. Adamkewicz:F. Hoffmann-La Roche Ltd: Equity Ownership; Genentech, Inc.: Employment. OffLabel Disclosure: Mosunetuzumab (RG7828) is a full-length, fully humanized immunoglobulin G1 (IgG1) bispecific antibody targeting both CD3 (on the surface of T cells) and CD20 (on the surface of B cells). Mosunetuzumab redirects T cells to engage and eliminate malignant B cells. Mosunetuzumab is an investigational agent.

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)0,000
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: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,009
Tête enseignante GPT0,301
Écart entre enseignants0,292 · 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'étudeExpérimental (laboratoire)
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
Publié2019
Routes d'admission1
Résumé présentoui

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