MétaCan
Menu
Retour à la cohorte
Enregistrement W4310093519 · doi:10.1182/blood-2022-157011

CD19 4-1BBL (RO7227166) a Novel Costimulatory Bispecific Antibody Can be Safely Combined with the T-Cell-Engaging Bispecific Antibody Glofitamab in Relapsed or Refractory B-Cell Non-Hodgkin Lymphoma

2022· article· en· W4310093519 sur OpenAlexaff
Martin Hutchings, Carmelo Carlo‐Stella, Giuseppe Gritti, Francesc Bosch, Franck Morschhauser, William Townsend, Fritz Offner, Harriet S. Walter, Hervé Ghesquières, Roch Houot, Guillaume Cartron, Natalie Dimier, Stephen Fowler, Emma Harrop, Sylvia Herter, K. Abiraj, Koorosh Korfi, Jeff Luong, Claudia Mueller, Robert Nutbrown, Giuseppe Palldino, Matt Whayman, Isabel Prieto, Sarah Louise Mycroft, Daria Rukina, Katharina Lechner, Michael Dickinson

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueMonoclonal and Polyclonal Antibodies Research
Établissements canadiensRoche (Canada)
Organismes subventionnairesnon disponible
Mots-clésCytokine release syndromeMedicineLymphomaT cellPharmacologyCD8AntibodyImmune systemImmunologyCancer researchChimeric antigen receptor

Résumé

récupéré en direct d'OpenAlex

Background RO7227166 is a bispecific monoclonal antibody that simultaneously targets CD19 on B-cells and 4-1BB on T-cells and other immune cells. In the presence of a T-cell receptor signal and strictly dependent on CD19 crosslinking, RO7227166 provides a strong co-stimulation to T-cells via 4-1BB agonism. RO7227166 is therefore not exhibiting single-agent activity. Our preclinical and clinical data demonstrated 4-1BB upregulation on immune cells by glofitamab and in our in vivo humanized lymphoma xenograft mouse models the combination of glofitamab plus RO7227166 showed increased anti-tumor efficacy mediated by increased infiltration of activated CD8 T-cells within the tumor. We therefore hypothesized that RO7227166 would boost the anti-tumor activity of glofitamab in patients (pts) with B-cell non-Hodgkin lymphoma (B-NHL). Methods We report data from the first-in-human study BP41072 (NCT04077723), a multicenter open label Phase 1 trial investigating the safety, tolerability, pharmacokinetics (PK), pharmacodynamics and preliminary antitumor activity of RO7227166 in combination with glofitamab (part II of the study) in relapsed/refractory (R/R) B-NHL pts. Pts received 1000mg obinutuzumab 7 days prior to first glofitamab administration to mitigate cytokine release syndrome (CRS). Glofitamab was then dosed following a step-up regimen in cycle 1 (C1), from cycle 2 day 1 (C2D1) on, every 3 weeks (Q3W) for up to 12 cycles. First RO7227166 dose was given on C2D8 and from C3 onwards on the same day as glofitamab. RO7227166 dose escalation was guided by an mCRM EWOC model with overdose control. Response rates were reported based on the Lugano criteria. Results As of June 7, 2022, a total of 46 pts with R/R aggressive B-NHL (diffuse-large B-cell lymphoma [DLBCL]) and 24 pts with R/R indolent B-NHL (23 follicular lymphoma [FL], 1 marginal zone lymphoma [MZL]) received RO7227166 doses ranging from 360µg up to 33mg. So far the dose level with the expected maximum efficacy is not yet reached. Pts had a median age of 66 years, 44.3% were female, with ECOG of 0 (62.9%) or 1 (37.1%). Approximately half of pts had Stage IV disease (44.3%), 18.6% pts had bulky disease (at least one lesion > 6cm), 27.1% had prior CAR-T therapy. Median prior lines of therapy was 3 (range 1-7), with 40% refractory to last prior therapy, 21.4% primary refractory and 12.9% refractory to CAR-T. Across 70 safety evaluable pts, 67 (95.7%) had adverse events (84.3% pts grade 1, 64.3% pts grade 2, 44.3% pts grade 3, 8.6% pts grade 4 and 4.3% pts grade 5). Grade 5 events were pneumocystis jirovecii pneumonia which qualified as dose-limiting toxicity (n=1) and septic shock (n=1) and COVID-19 infection (n=1) which were both assessed as not related to study medications. The most frequent adverse event was CRS with 63 events occurring in 38 (54.3%) pts (maximum grade 1 in 37,1% pts, and maximum grade 2 in 17,1% pts, according to ASTCT score). Of all 63 events (including multiple events for some pts), 55 were related to glofitamab alone (87,3%), 5 events to glofitamab and RO7227166 (8%, all grade 1) and 3 events related to RO7227166 alone (4.8%, all grade 1). Overall the safety profile was mainly driven by glofitamab (Hutchings, et al. 2021) and we are yet to detect an additive safety signal from RO7227166 when combined with glofitamab. RO7227166 exposure increased dose-dependently across the investigated doses. Furthermore, preliminary pharmacodynamic analysis showed further expansion of primed and activated CD8, and effector memory T-cells in the periphery, which supports the expected mode of action of RO7227166 in combination with glofitamab. Of the 56 response-evaluated subjects, pts with DLBCL achieved a best overall response rate (BORR) of 67% and a complete response rate (CRR) of 39%, while the BORR and CRR for patients with FL was 91% and 73%. Summary This is the first study demonstrating that glofitamab can be safely combined with a costimulatory bispecific antibody (RO7227166) in R/R B-NHL. No new safety signals or signs of increased immune-related AEs were detected and the overall safety profile was consistent with that reported from single-agent glofitamab. At doses explored, combination therapy maintains efficacy similar to glofitamab single-agent, and dose escalation continues with additive benefit of the combination expected at higher doses.

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)0,000
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: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,026
Tête enseignante GPT0,288
Écart entre enseignants0,263 · 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

Citations23
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetMonoclonal and Polyclonal Antibodies ResearchTravaux en français237 207