Five-Year Survival Data Demonstrating Durable Responses from a Pivotal Phase 2 Study of Brentuximab Vedotin in Patients with Relapsed or Refractory Hodgkin Lymphoma
Notice bibliographique
Résumé
Abstract Background: Classical Hodgkin lymphoma (HL) is characterized by the presence of CD30-positive Hodgkin Reed-Sternberg cells. The standard of care for patients (pts) with relapsed or refractory (R/R) HL is salvage chemotherapy followed by high dose chemotherapy and autologous stem cell transplant (auto-SCT). Approximately 50% of these pts will experience relapse or progression of HL after auto-SCT. For these individuals, outcomes have historically been poor, with median overall survival (OS) from time of relapse ranging from 10.5 to 27.6 mos (Crump, 2008; Fanale, 2013). A pivotal phase 2 study evaluated brentuximab vedotin, a CD30-directed antibody-drug conjugate, in pts with R/R HL after auto-SCT (ClinicalTrials.gov #NCT00848926). Primary results and 3-year follow-up data have been previously reported (Younes, 2012; Gopal, 2015). Here, we summarize final data from the 5-year follow-up period. Methods: Pts received 1.8 mg/kg brentuximab vedotin once every 3 wks as a 30-min outpatient IV infusion for up to 16 cycles. The primary endpoint was the objective response rate (ORR) per independent review according to the Revised Response Criteria for Malignant Lymphoma (Cheson 2007). Assessments of response and durability of response per an independent review facility (IRF) have been previously reported. Following a protocol amendment that removed the requirement for routine CT scanning during the follow-up period, disease status was only assessed per the investigator. Survival and disease status were assessed every 3 mos for 2 yrs and then every 6 mos through Year 5. CT scans were required if progression was suspected clinically. At the time of the amendment, 18 patients were still being assessed for progression; these patients had been in long-term follow-up for a median of over 30 months. Results: The enrolled population of 102 pts (53% female) was heavily pretreated and had a median age of 31 yrs (range, 15-77 yrs). Pts received a median of 9 cycles (range, 1-16) of brentuximab vedotin. Per investigator, the ORR to brentuximab vedotin was 72% and complete remission (CR) rate was 33%. The most common treatment-related adverse events were peripheral sensory neuropathy, nausea, fatigue, neutropenia, and diarrhea. Adverse events of Grade 3 or higher that occurred in ≥5% of pts were neutropenia, peripheral sensory neuropathy, thrombocytopenia, and anemia. At study closure, which occurred approximately 5 yrs after the last patient's end-of-treatment visit, the median observation time for all enrolled patients from first dose was 35.1 mos (range, 1.8 to 72.9). The estimated 5-year overall survival rate was 41% (95% CI: 31 %, 51%) and the median OS was 40.5 mos (95% CI: 28.7, 61.9 [range, 1.8 to 72.9+]). Median OS by best clinical response was CR (n=34): median not reached; partial remission (PR, n=39): 39.4 mos; and stable disease (SD, n=28): 18.3 mos. The median PFS was 9.3 months overall, but was not reached in CR pts. Of the 102 enrolled patients, 15 remained in follow-up and in remission at study closure. Among these 15 pts, 6 received consolidative allo-SCT and 9 have received no further therapy since completing brentuximab vedotin. Conclusions: These end-of-study results demonstrate that single agent brentuximab vedotin can induce durable remissions and long-term survival in a subset of heavily pretreated patients with relapsed/refractory HL, particularly in pts that achieve CR. A randomized phase 3 study is being conducted to evaluate brentuximab vedotin in combination with AVD (doxorubicin, vinblastine, and dacarbazine) versus ABVD (A, bleomycin, VD) for frontline treatment of advanced HL (ECHELON-1 trial, ClinicalTrials.gov #NCT01712490). Figure 1. Overall Survival Figure 1. Overall Survival Disclosures Chen: Seattle Genetics: Consultancy, Research Funding; Genentech: Consultancy; Gilead: Consultancy; Janssen: Consultancy. Gopal:BMS: Research Funding; Piramal: Research Funding; Emergent/Abbott: Research Funding; Millenium: Honoraria, Research Funding; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; BioMarin: Research Funding; Seattle Genetics: Consultancy, Honoraria; Gilead: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Sanofi-Aventis: Honoraria; Merck: Research Funding. Smith:Seattle Genetics: Research Funding; Celgene: Consultancy, Speakers Bureau. Ansell:Bristol-Myers Squibb: Research Funding; Celldex: Research Funding. Rosenblatt:Seattle Genetics: Research Funding. Savage:Seattle Genetics: Honoraria, Speakers Bureau; BMS: Honoraria; Infinity: Honoraria; Roche: Other: Institutional research funding. Connors:Roche: Research Funding; Seattle Genetics: Research Funding. Engert:Takeda Millenium: Honoraria, Research Funding; Seattle Genetics: Honoraria, Research Funding. Larsen:Seattle Genetics Inc.: Employment, Equity Ownership. Huebner:Takeda Pharmaceuticals International Co.: Employment, Equity Ownership. Fong:Seattle Genetics, Inc.: Employment, Equity Ownership. Younes:Janssen: Honoraria; Novartis: Research Funding; Incyte: Honoraria; Takeda Millenium: Honoraria; Celgene: Honoraria; Bristol Meyer Squibb: Honoraria; Curis: Research Funding; Bayer: Honoraria; Seattle Genetics: Honoraria, Research Funding; Sanofi-Aventis: Honoraria; Johnson and Johnson: 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 | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».