Two-Year Follow-up of Keynote-087 Study: Pembrolizumab Monotherapy in Relapsed/Refractory Classic Hodgkin Lymphoma
Notice bibliographique
Résumé
Abstract Introduction: The near-universal genetic amplification events at 9p24.1 in classic Hodgkin lymphoma (cHL) results in overexpression of the programmed death 1 (PD-1) ligands and betrays an unusual dependence on the PD-1 pathway. Inhibition of this pathway by use of pembrolizumab has shown effective antitumor activity and acceptable safety in patients with relapsed or refractory cHL (R/RcHL) in the multicohort KEYNOTE-087 study. This led to FDA approval of pembrolizumab for the treatment of adult and pediatric patients who have refractory cHL or who have relapsed after ≥3 prior lines of therapy. A critical remaining question is the durability of responses, specifically whether a subgroup of patients can have durable remission with PD-1 blockade. Therefore, we present the results for the total population and by cohort, with an additional ~12 months of follow-up from last presentation. Methods: The multicenter, single-arm, phase 2 KEYNOTE-087 (NCT02453594) study was conducted to evaluate pembrolizumab in patients with R/R cHL that progressed after autologous stem cell transplantation (ASCT) and subsequent brentuximab vedotin (BV) therapy (cohort 1); salvage chemotherapy and BV (cohort 2); or ASCT but not treated with BV after ASCT (cohort 3). Patients received pembrolizumab 200 mg intravenously every 3 weeks. Response was assessed every 12 weeks per 2007 Revised Response Criteria for Malignant Lymphomas. Primary end points were safety and overall response rate (ORR) per blinded independent central review in all patients and in each cohort; secondary end points were complete remission rate (CRR), progression-free survival (PFS), duration of response (DOR), and overall survival (OS). All patients who received at least 1 dose of pembrolizumab were included in the analyses. Results : At data cutoff (Mar 21, 2018), median follow-up was 27.6 mo (range, 1.0-32.9), and 5 of 210 enrolled patients were still in treatment. Baseline characteristics were previously presented (Chen et al. J Clin Oncol. 2017; 35(19):2125-2132). In the total population, ORR was 71.9% (95% CI, 65.3-77.9); CRR, 27.6% (95% CI, 21.7-34.2); partial response (PR), 44.3% (95% CI, 37.5-51.3). Response rates by cohort were as follows: cohort 1 (n=69): ORR: 76.8%; CRR: 26.1%; cohort 2 (n=81): ORR: 66.7%; CRR: 25.9%; cohort 3 (n=60): ORR: 73.3%; CRR: 31.7%. Median DOR was 16.5 mo overall (range 0.0+ to 27.0+; [+, no progressive disease at last assessment]). Of 151 responders, 87 (75.6%) had response ≥6 mo; 61 (58.5%) had response ≥12 mo; 16 (42.5%) had response ≥24 mo; 37 (24.5%) pts had ongoing response. Median DOR by cohort was 22.1 mo in cohort 1, 11.1 mo in cohort 2, and 24.4 mo in cohort 3 (Table). In patients with CR (n=58), median DOR was not reached (NR) in the total population and was 25.0 mo in cohort 1, 19.2 mo in cohort 2, and NR in cohort 3. In patients with PR (n=93), median DOR was 10.9 mo overall, 19.5 mo in cohort 1, 7.9 mo in cohort 2, and 13.9 mo in cohort 3. Median PFS for all patients was 13.7 mo (95% CI, 11.1-17.0) (Table); 24-mo PFS rate was 31.3%. In patients with CR, median PFS was NR in the total population, 27.6 mo in cohort 1, 21.9 mo in cohort 2, and NR in cohort 3 (Table). In patients with PR, median PFS was 13.8 mo in the total population, 22.2 mo in cohort 1, 13.4 mo in cohort 2, and 19.4 mo in cohort 3. Median OS was not reached in the total population or in any cohort; 24-mo OS rate was 90.9% in the overall population, 92.5% in cohort 1; 90.6% in cohort 2, and 89.4% in cohort 3 (Table). Any-grade treatment-related adverse events (AEs) occurred in 153 (72.9%) patients; those occurring in ≥10% patients were hypothyroidism (14.3%), pyrexia (11.4%), fatigue (11.0%), and rash (11.0%). Grade 3/4 treatment-related AEs occurred in 25 (11.9%) pts, most commonly, neutropenia (5 [2.4%]) and diarrhea (3 [1.4%]); none resulted in death. Treatment-related AEs led to discontinuation in 14 (6.7%) patients. Conclusions: With more than 2 years of median follow-up, pembrolizumab continued to demonstrate effective antitumor activity with high ORR, durable response, and manageable safety in patients with R/R cHL in 3 cohorts of patients in whom treatment history was different. ORR, DOR, and PFS seemed higher in patients in cohorts 1 and 3 than in cohort 2, in which patients likely had more chemoresistant disease; nonetheless, pembrolizumab is still an effective treatment in this hard-to-treat patient population. Table. Table. Disclosures Zinzani: Astra Zeneca: Speakers Bureau; Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; PFIZER: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; MSD: Honoraria, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; SERVIER: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Chen:Affimed: Research Funding; Genentech Inc.: Consultancy; Millennium Pharmaceuticals: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding, Speakers Bureau; Merck & Co., Inc.: Consultancy, Research Funding, Speakers Bureau; Pharmacyclics: Consultancy, Research Funding. Johnson:Bristol-Myers Squibb: Consultancy, Honoraria; Merck: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria, Other: travel, Research Funding; Roche: Consultancy, Honoraria, Other: travel, Research Funding; Seattle Genetics: Honoraria; AbbVie Inc.: Consultancy, Honoraria, Research Funding. Radford:Pfizer: Research Funding; AstraZeneca: Equity Ownership; Takeda: Consultancy, Research Funding, Speakers Bureau; Celgene: Research Funding; ADC Therapeutics: Consultancy, Research Funding; GlaxoSmithKline: Equity Ownership; Novartis: Consultancy, Speakers Bureau; Seattle Genetics: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau. Ribrag:Gilead: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Other: travel; epizyme: Consultancy, Honoraria; argenX: Research Funding; NanoString Technologies: Consultancy, Honoraria; Incyte Corporation: Consultancy; Amgen: Research Funding; MSD: Honoraria; Infinity: Consultancy, Honoraria; pharmamar: Other: travel; Servier: Consultancy, Honoraria; Roche: Honoraria, Other: travel. Molin:Merck & Co., Inc: Honoraria; Takeda Pharmaceuticals: Research Funding; Bristol-Myers Squibb: Honoraria; Roche Holding AG: Honoraria. Vassilakopoulos:Genesis Pharmaceuticals: Consultancy, Other: travel; Takeda Pharmaceuticals: Consultancy, Honoraria, Other: travel; Roche: Consultancy, Honoraria, Other: travel; Novartis: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria. Von Tresckow:Amgen: Honoraria; Novartis: Consultancy, Honoraria, Other: travel, Research Funding; Merck Sharp & Dohme: Research Funding; Celgene: Honoraria; Takeda Pharmaceuticals: Consultancy, Honoraria, Other: travel, Research Funding. Shipp:AstraZeneca: Honoraria; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Research Funding; Merck: Research Funding. Nahar:Merck & Co., Inc.: Employment, Equity Ownership. Balakumaran:Amgen: Equity Ownership; Merck & Co., Inc.: Employment, Equity Ownership. Moskowitz:Celgene: Consultancy; Genentech: Consultancy, Research Funding; Merck & Co: Consultancy, Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Consultancy, Research Funding.
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 | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».