Nivolumab Treatment Beyond Investigator-Assessed Progression: Outcomes in Patients with Relapsed/Refractory Classical Hodgkin Lymphoma from the Phase 2 Checkmate 205 Study
Notice bibliographique
Résumé
Abstract Introduction: The phase 2 CheckMate 205 study (NCT02181738) of nivolumab (nivo) has demonstrated high objective response rates, durable efficacy, and acceptable safety profiles in patients (pts) with relapsed/refractory classical Hodgkin lymphoma (R/R cHL) after failure of autologous hematopoietic cell transplantation (auto-HCT) regardless of prior brentuximab vedotin (BV) treatment (Younes A et al. Lancet Oncol 2016; Fanale M et al. ICML 2017 [Oral 125]). Recently proposed new response criteria aim to account for atypical patterns of response with checkpoint inhibitors which may not be fully captured by conventional response criteria (Cheson BD et al. Blood 2016; Younes A et al, Ann Oncol 2017). Studies in solid tumors have shown that pts may continue to derive clinical benefits from nivo beyond disease progression as defined by conventional criteria (George S et al, JAMA Oncol 2016; Long GV et al, JAMA Oncol 2017). Here we report outcomes among pts with R/R cHL treated beyond progression (TBP) in CheckMate 205. Methods: This single-arm, multicenter study enrolled pts (age ≥18 y) with R/R cHL after failure of auto-HCT into 3 independent cohorts (A: BV naïve, B: BV after auto-HCT, C: BV before and/or after auto-HCT). Nivo 3 mg/kg IV every 2 wk was given until disease progression or unacceptable toxicity. Response was assessed by 2007 International Working Group criteria. Best overall response (BOR) was assessed per investigator. A protocol amendment in July 2014 allowed pts to be TBP (investigator-assessed) if they met prespecified criteria, including deriving clinical benefit, stable performance status, and non-rapid progression. Pts TBP were required to discontinue in the event of further progression (≥10% increase in tumor burden). Tumor burden after initial progression was assessed in a prespecified analysis. Exploratory analyses assessed overall survival (OS) and time to next therapy (TTNT) in pts TBP. Results: In total, 70/243 (29%) pts were TBP: 19 in Cohort A, 23 in B, and 28 in C. Demographics were similar to the overall study population: 57% had stage IV disease at study entry, median (range) age was 37 (18-72) y, and median number of prior therapies was 3 (2-5). BOR prior to progression was complete remission (CR) in 5 (7%) pts, partial remission (PR) in 31 (44%), stable disease (SD) in 20 (29%), and progressive disease in 13 (19%) (BOR was non-evaluable in 1 pt). Among pts TBP, the initial cause of progression was a ≥50% increase in total tumor burden in 13 (19%) pts, non-target lesion progression in 17 (24%), and new lesions in 47 (67%) (pts could have multiple findings as reasons for progression). The median time to initial progression in pts TBP was 6 mo; 11 mo in pts with initial BOR of CR and 7 mo in pts with initial PR or SD. At December 2016 database lock, median (range) doses of nivo beyond progression were 8 (1-43), and median duration of treatment beyond progression was 5 (0-19) mo. Overall, 21 (30%) pts TBP remained on treatment; the most common reason for discontinuation was further disease progression (80%). The majority of pts TBP demonstrated stable reductions in tumor burden with continued treatment. Median (95% CI) TTNT from first study dose of nivo was 17 (14, not estimable) mo (Figure). Median OS from date of initial progression was not reached in pts TBP and OS was 84% (95% CI 70, 92) at 1 y. Treatment-related adverse events (TRAEs) occurred in 46% of pts (13% grade [G] 3-4) after progression, vs 64% (9% G3-4) prior to progression. Serious TRAEs after progression were aspartate aminotransferase increase (n=1) and hypercalcemia (n=1), both G3-4. Ten deaths occurred in pts TBP; 7 were due to disease progression and none were considered related to study drug. Conclusions: In total, 29% of pts from CheckMate 205 Cohort A/B/C were TBP. New lesions were the most common reason for initial progression in pts TBP. Stable reductions in tumor burden were seen with continued treatment in pts TBP, and median TTNT and OS remained high. Proposed updates to response criteria may help to better assess the long-term efficacy of checkpoint inhibitors. These data suggest that pts considered to show stable performance status, non-rapid progression, and clinical benefits despite progression according to conventional response criteria may derive long-term benefits from continued nivo treatment. Study funding: BMS. Writing support: Simon Wigfield, Caudex, funded by BMS. Disclosures Cohen: Bioinvent: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takada: Research Funding; Bristol Myers Squibb: Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; LAM Therapeutics, Inc: Research Funding. Engert: Amgen: Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Affimed: Consultancy, Honoraria, Research Funding. Ansell: Merck: Research Funding; Celldex: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding. Younes: Roche: Consultancy, Honoraria, Other: Third-party medical writing assistance, under the direction of Anas Younes, was provided by Scott Malkin of Gardiner-Caldwell Communications, and was funded by F. Hoffmann-La Roche Ltd.; Bayer: Honoraria; Bristol-Myers Squibb: Honoraria; Novartis: Research Funding; Janssen: Honoraria; Merck: Honoraria; Curis: Research Funding; Sanofi: Honoraria; Takeda Millenium: Honoraria; Johnson & Johnson: Research Funding; Seattle Genetics: Honoraria; Incyte: Honoraria; Celgene: Honoraria. Trneny: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Savage: Roche: Research Funding; Seattle Genetics: Consultancy, Honoraria; Bristol-Myers Squibb: Honoraria; Merck: Honoraria; Celgene: Consultancy. Ramchandren: Seattle Genetics: Consultancy; Janssen: Research Funding; Merck: Research Funding; Pharmacyclics: Research Funding. Collins: ADC Therapeutics: Research Funding; Roche: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria; Celgene: Research Funding; Celleron: Consultancy; MSD: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Speakers Bureau; Bristol-Myers Squibb: Research Funding; Amgen: Research Funding. Fanale: AMGEN: Membership on an entity's Board of Directors or advisory committees; CELGENE: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; TAKEDA: Honoraria, Research Funding; ONYX: Research Funding; SEATTLE GENETICS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MOLECULAR TEMPLATES: Research Funding; MERCK: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GENENTECH: Research Funding; ADC THERAPEUTICS: Research Funding. Armand: Bristol-Myers Squibb: Consultancy, Other: research funding (institutional); Merck: Consultancy, Other: research funding (institutional); Infinity: Consultancy; Pfizer: Consultancy, Other: research funding (institutional); Affimed: Other: research funding (institutional); Otsuka: Other: research funding (institutional); Sequenta: Other: research funding (institutional); Sigma Tau: Other: research funding (institutional); Roche: Other: research funding (institutional); Tensha: Other: research funding (institutional). Zinzani: Bayer: 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; Celgene: 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; Johnson & Johnson: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm Therapeutics: 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; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. De Boer: Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees, Other: N
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».