Pharmacodynamic Effects and Immune Correlates of Response to the CD20/CD3 Bispecific Antibody Mosunetuzumab in Relapsed or Refractory Non-Hodgkin Lymphoma
Notice bibliographique
Résumé
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».