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Enregistrement W4389219761 · doi:10.1182/blood-2023-173949

Dexamethasone is Associated with a Lower Incidence and Severity of Cytokine Release Syndrome Compared with Other Corticosteroid Regimens When Given as Premedication for Glofitamab Monotherapy in Patients with Relapsed/Refractory (R/R) Large B-Cell Lymphoma (LBCL)

2023· article· en· W4389219761 sur OpenAlexaff
Lorenzo Falchi, Carmelo Carlo‐Stella, Franck Morschhauser, Michael Dickinson, Emmanuel Bachy, Guillaume Cartron, Cyrus Khan, Monica Tani, Joaquín Martínez‐López, Nancy L. Bartlett, Antonio Salar, Joshua Brody, Sirpa Leppä, Aurelien Berthier, Martine Kallemeijn, James Relf, Saibah Chohan, Linda Lundberg, Martin Hutchings

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensRoche (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicinePremedicationCytokine release syndromePrednisoloneDexamethasoneCorticosteroidInternal medicineMethylprednisolonePrednisoneFollicular lymphomaGastroenterologySurgeryLymphomaCancer

Résumé

récupéré en direct d'OpenAlex

Background: Glofitamab, a CD20xCD3 T-cell engaging bispecific antibody with a novel 2:1 (CD20:CD3) format, induced frequent and durable complete responses (CRs) with a manageable safety profile in pivotal expansion cohorts of an ongoing Phase I/II study (NCT03075696) in patients (pts) with R/R LBCL (Dickinson et al. NEJM 2022, Falchi et al. ASCO 2023). Cytokine release syndrome (CRS) is a potentially life-threatening toxicity caused by immune activation that can be triggered non-specifically by T-cell engaging therapies. As previously reported, corticosteroid (steroid) premedication was required to prevent or mitigate CRS in pts treated with glofitamab. Dexamethasone (Dex) was mandated in one expansion cohort to assess if this could reduce the rate and severity of CRS versus other steroids. Here, we report data from the dose-escalation and expansion cohorts in pts with R/R LBCL who received Dex only versus non-Dex premedication. Methods: Pts with R/R LBCL (diffuse LBCL not otherwise specified [DLBCL NOS], high-grade B-cell lymphoma [HGBCL], primary mediastinal LBCL [PMBCL], or LBCL arising from follicular lymphoma [trFL]) and ≥2 prior therapies received 1000mg obinutuzumab pretreatment (Gpt) 7 days prior to the first glofitamab dose. IV glofitamab was administered with step-up dosing during Cycle (C) 1 (Day 8, 2.5mg; Day 15, 10mg) followed by the target dose (30mg) on Day 1 of C2-12 (21-day cycles; 8.4 months). Steroid premedication (80mg IV methylprednisolone, or equivalent dose of prednisone [100mg] or prednisolone [100mg], or 20mg IV Dex) was given at least 60 minutes prior to Gpt and each glofitamab dose. Responses were assessed using Lugano criteria (Cheson et al. JCO 2014). CRS events were graded by ASTCT criteria (Lee et al. Biol Blood Marrow Transplant 2019). Results: As of May 1, 2023, 145 pts with R/R LBCL had received glofitamab, including 33 (22.8%) pts (DLBCL NOS, n=24 [72.7%]; HGBCL, n=2 [6.1%]; trFL, n=7 [21.2%]) who received Dex premedication before each glofitamab dose (Dex only cohort) and 112 (77.2%) pts (DLBCL NOS, n=81 [72.3%]; HGBCL, n=5 [4.5%]; PMBCL, n=6 [5.4%]; trFL, n=20 [17.9%]) who had not received Dex premedication before each glofitamab dose (non-Dex cohort). In the Dex only and non-Dex cohorts, median age was 73.0 years (range: 27-86) and 66.0 years (range: 21-90), and 26/33 (78.8%) pts and 83/112 (74.1%) pts had Ann Arbor stage III/IV disease, respectively. Median number of prior therapies was 3.0 for both cohorts. Ten (30.3%) and 37 (33.0%) pts had previously received chimeric antigen receptor T-cell therapy, and 6 (18.3%) and 22 (19.6%) pts had received autologous stem cell transplant in the Dex only and non-Dex cohorts, respectively. Median number of glofitamab cycles was 5.0 in both cohorts. CRS of any grade occurred in 48.5% of pts in the Dex only cohort and 73.2% of pts in the non-Dex cohort, and CRS leading to serious adverse events occurred in 5 (15.2%) and 27 (24.1%) pts, respectively. In both cohorts, CRS events were mostly low grade and primarily occurred during C1 (Table; Figure). Recurring Grade (Gr) ≥2 CRS was not observed in the Dex only cohort and 6 (5.4%) pts had recurring Gr ≥2 CRS in the non-Dex cohort. Median time to CRS onset and median time to resolution were similar in the two cohorts. Treatment discontinuation rate was lower in the Dex only cohort (n=21, 63.6%) versus the non-Dex cohort (n=80, 71.4%), mainly due to progressive disease (Dex only cohort, n=12 [36.4%]; non-Dex cohort, n=52 [46.4%]). In the DLBCL NOS and trFL population, the best overall response assessed by Independent Review Committee was similar between the Dex only (n=31) and non-Dex (n=101) cohorts, with CR reported in 14 (45.2%) and 44 (43.6%) pts, and 12 (38.7%) and 34 (33.7%) pts remaining in CR at data cutoff, respectively. The estimated event-free rate among complete responders at 12 months after the first CR was 83.1% (95% CI: 61.5-100.0) in the Dex only cohort and 77% (95% CI: 63.8-90.2) in the non-Dex cohort. Conclusions: The incidence, severity, and seriousness of CRS after glofitamab administration in pts with R/R LBCL were numerically lower with Dex premedication versus premedication with other steroid regimens. Response rates in the Dex only cohort were similar to those reported in the non-Dex cohort. We therefore propose Dex as the steroid of choice for premedication to prevent or mitigate CRS in pts with LBCL treated with glofitamab monotherapy, considering its half-life and potency.

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: Observationnel · 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)0,0010,000
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 Opus0,013
Tête enseignante GPT0,253
Écart entre enseignants0,240 · 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'étudeObservationnel
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

Citations9
Publié2023
Routes d'admission1
Résumé présentoui

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