An open‐label phase 1/2 study of favezelimab plus pembrolizumab in patients with relapsed/refractory classical Hodgkin lymphoma with/without previous anti‐PD‐1 treatment
Notice bibliographique
Résumé
Introduction: Dual blockade of PD-1 and lymphocyte-activation gene (LAG-3) has shown antitumor activity; however, the activity of the combination for patients (pts) with relapsed or refractory (R/R) classical Hodgkin’s lymphoma (cHL) is unclear. Initial results of a multicohort phase 1/2 study (NCT03598608) showed that the anti–PD-1 inhibitor pembrolizumab (200 mg Q3W) combined with the anti–LAG-3 inhibitor favezelimab (800 mg Q3W) showed promising antitumor activity and acceptable safety in pts with R/R cHL who either were anti–PD-1 naive (cohort 1) or had progression after anti–PD-1 therapy (cohort 2) (Johnson NA et al. J Clin Oncol. 2022;40(16 suppl):7516; Timmerman J et al. J Clin Oncol. 2022;40(16 suppl):7545). Updated data with additional follow-up from both cohorts are presented. Methods: Pts in cohorts 1 and 2 had R/R cHL after autologous stem cell transplant (ASCT) (or were ineligible for ASCT) or did not respond to salvage chemotherapy and had an ECOG PS of 0 or 1. Pts in cohort 1 had no prior anti–PD-1 therapy; pts in cohort 2 had progression within 12 weeks after ≥2 doses of anti–PD-1 therapy, per Cheson 2007 criteria. Pts received pembrolizumab 200 mg Q3W plus favezelimab at the established RP2D (800 mg Q3W) for ≤35 cycles (∼2 years). Primary end points were safety and RP2D. The secondary end point was ORR. DOR, PFS, and OS were exploratory. Results: At the data cutoff (Aug 31, 2022), median follow-up (range) was 25.5 (18.0–37.2) months and 29.3 (9.0–43.4) months in cohort 1 and cohort 2, respectively. Anti–PD-1 was the most recent therapy for 17 pts (50%) in cohort 2. In cohort 1, 47% (14 pts) of pts discontinued treatment, and 74% (25 pts) discontinued treatment in cohort 2. ORR was 80% in cohort 1 (95% CI, 61%–92%, 10 CR, 14 PR) and 29% in cohort 2 (95% CI, 15%–47%, 3 CR, 7 PR). Additional efficacy analyses are included in the Table. Treatment-related adverse events (AEs) occurred in 26 pts (87%) and 28 pts (82%) in cohorts 1 and 2, respectively. The most common treatment-related AEs were hypothyroidism (27%) in cohort 1 and hypothyroidism and nausea (18% each) in cohort 2. Grade 3/4 AEs occurred in 7 pts (23%) in cohort 1 and in 6 pts (18%) in cohort 2. No treatment-related deaths occurred. Conclusion: With additional follow-up, the combination of favezelimab plus pembrolizumab continued to show antitumor activity and manageable safety in anti–PD-1–naive pts with R/R cHL and in pts whose disease progressed after anti–PD-1 therapy. Encore Abstract - previously submitted to EHA 2023 The research was funded by: Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA. Keywords: Hodgkin lymphoma, Immunotherapy Conflicts of interests pertinent to the abstract. D. Lavie Consultant or advisory role: AbbVie, Novartis, Takeda N. Johnson Consultant or advisory role: Roche, Merck, AbbVie, Gilead Honoraria: Roche, Merck A. F. Herrera Consultant or advisory role: BMS, Seattle Genetics, Merck, Genentech/Roche, AstraZeneca/MedImmune, Karyopharm Therapeutics, ADC Therapeutics, Takeda, Regeneron, Genmab, Tubulis GmbH, Pfizer, Adicet Bio, Caribou Biosciences, AbbVie Research funding: BMS, Merck, Genentech/Roche, Kite—a Gilead Company, AstraZeneca, Seattle Genetics, Gilead Sciences, ADC Therapeutics Educational grants: BMS A. Avigdor Consultant or advisory role: Takeda, Gilead, Novartis, Roche, BMS Educational grants: AbbVie R. Gasiorowski Honoraria: MSD, Otsuka, Novartis, Astellas, Janssen, AbbVie, Antengene G. Gregory Consultant or advisory role: Roche, Novartis, BMS, Janssen Honoraria: Roche, BMS Research funding: BeiGene, Merck, AbbVie, Janssen Educational grants: Roche, Novartis Other remuneration: Speaker Bureau—Roche; Expert Testimony—Janssen C. Keane Consultant or advisory role: Roche, Beigene, MSD V. Vucinic Consultant or advisory role: MSD, BMS Celgene, Novartis, Gilead Kite, Takeda Honoraria: Novartis, Gilead Kite, Takeda, MSD, BMS Celgene, AbbVie, Amgen Educational grants: Sobi, BMS, Celgene Y. Herishanu Honoraria: AbbVie, Janssen, Roche, Medison, Beigene C. Andreadis Research funding: Merck P. Armand Consultant or advisory role: BMS, MSD, ADC Therapeutics, GenMab, Enterome, Tessa Therapeutics, Regeneron, Genentech/Roche, AstraZeneca, Xencor, ATB Therapeutics, Foresight Diagnostics Research funding: MSD, BMS, Roche, Adaptive Biotechnologies, Affimed Therapeutics, Genentech, IGM, Kite—a Gilead company J. Kuruvilla Consultant or advisory role: AbbVie, Antengene, BMS, Gilead, Karyopharm, Medison Ventures, Merck, Roche, Seattle Genetics Honoraria: AbbVie, Amgen, Astra Zeneca, BMS, Gilead, Incyte, Janssen, Karyopharm, Merck, Novartis, Pfizer, Roche, Seattle Genetics Research funding: Roche, AstraZeneca, Merck Other remuneration: Officer/Board of Directors—Lymphoma Canada; Data Safety Monitoring Board—Karyopharm P. L. Zinzani Consultant or advisory role: Celltrion, Gilead Sciences, Janssen-Cilag, BMS, SERVIER, Sandoz, MSD, Roche, EUSA Pharma, Kyowa Kirin, Takeda, Secure BIO, TG Therapeutics, Novartis, ADC Therapeutics, Incyte, BeiGene Other remuneration: Speaker Bureau—MSD, EUSA Pharma, Novartis R. Marceau West Employment or leadership position: Merck P. Pillai Employment or leadership position: Merck Sharpe and Dohme Stock ownership: Merck Sharpe and Dohme P. Marinello Employment or leadership position: Merck Stock ownership: Merck J. Timmerman Consultant or advisory role: Kite/Gilead, DAVA Oncology, Oncovalent Therapeutics Honoraria: Kite/Gilead Research funding: BMS, Kite – A Gilead Company, Merck Educational grants: BMS
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».