High Rate of Sustained Minimal Residual Disease Negativity Predicts Prolonged Survival for the Overall Patient Population in the Phase 2 KRd Plus Autologous Stem Cell Transplantation MMRC Trial
Notice bibliographique
Résumé
Abstract Introduction In a phase 2 study designed to assess efficacy of extended treatment (tx) with KRd (carfilzomib [CFZ], lenalidomide [LEN], and dexamethasone [DEX]) plus autologous stem cell transplantation (ASCT), we reported high rates of deep responses, including high rates of stringent complete response (sCR) and minimum residual disease (MRD) negativity in newly diagnosed multiple myeloma (NDMM) patients (pts) after a median of 18 cycles (C) and 25.5 months (mo) of follow-up (f/u). In this analysis, we evaluated the impact of MRD negativity on progression-free survival (PFS). Methods The study enrolled ASCT-eligible pts with NDMM requiring tx per International Myeloma Working Group (IMWG) criteria with no age limitation. Pts received initial four 28-day cycles of KRd induction: CFZ IV 20/36 mg/m2 on days (D) 1, 2, 8, 9, 15, and 16 (20 mg/m2 on D1, 2 of C1 only); LEN PO D1-21 at 25 mg; DEX PO 40 mg/week followed by stem cell collection using G-CSF and plerixafor, melphalan 200 mg/m2, and ASCT. KRd consolidation (C5-8) used the same doses and schedule, except LEN 15 mg in C5 with the option to escalate to prior dose and DEX reduced to 20 mg weekly. After C8, pts received maintenance KRd for an additional 10 cycles using the same doses as in C8, except CFZ on D1, 2, 15, and 16 only. Single-agent LEN was recommended off-study after C18. Primary endpoint was rate of sCR at the end of C8, with MRD among secondary endpoints. Response rates and MRD were evaluated as per current IMWG criteria. MRD was evaluated by next-generation sequencing (NGS), using the immunoSEQ® Platform (Sequenta/Adaptive Inc.) with a sensitivity of 10-5-10-6 for MRD negativity, and multiparameter flow cytometry (MFC) with 10-4-10-5 sensitivity at landmark time points: after KRd consolidation (after C8), at the end of KRd tx (after C18), and then yearly. MRD-negative status required CR, as per current IMWG criteria. Results As of July 1, 2017, enrollment was completed (76 pts); 74 pts completed KRd induction, 72 ASCT, 70 consolidation, and 64 KRd maintenance with median f/u at cutoff date of 35.2 mo (range 2.9-53.0). Median age was 59 years (yr; range 40-76), 57% stage II/III of the International Staging System, and 36% high-risk cytogenetics as per IMWG criteria. For this analysis, efficacy data were available for 76 pts and MRD data from ≥1 landmark time point for 46 (by NGS) and 40 pts (by MFC). On intent-to-treat, the rate of ≥very good partial response was achieved in 91%, ≥CR in 78%, and sCR in 75% for all enrolled pts. At the end of C8, MRD negativity by NGS combined with ≥CR was observed in 67% (n=36) (including 10 of 13 pts with high-risk disease) and at the end of C18 in 72% (n=32) (including 7 of 10 high-risk pts). As expected, MRD rates were slightly higher by MFC at 95% (n=37) and 96% (n=27). Paired MRD results for the end of C8 and C18 landmarks were available for 34 of these pts by NGS and for 31 pts by MFC. At the end of C18, MRD negativity was sustained for 91% of MRD-negative pts by NGS and for 96% by MFC. At the cutoff date, 30 pts completed 1-yr LEN maintenance, which followed C18 of KRd tx, with MRD results available for 17 pts by NGS and 21 pts by MFC, with MRD-negative rates of 82% and 90%, respectively. Paired MRD results for the end of C18 of KRd tx and 1-yr LEN maintenance landmarks were available for 17 of these pts by NGS and for 20 pts by MFC. MRD-negative results were sustained in 93% of pts by NGS and 94% of pts by MFC. After median f/u of 35.2 mo, 3-yr PFS for pts with sustained MRD at the end of C18 by NGS was 94%, and for all pts (n=76) 86%. Overall survival (OS) rates at 3 yrs for sustained MRD-negative disease by NGS were 100%, and for all pts 93% (Fig. 1). In a subset of pts with high-risk disease (n=27), 3-yr PFS and OS rates were 81% and 87%, respectively. Updated results, including a larger sample of MRD data, will be presented at the meeting, with an increasing number of pts completing respective landmarks of tx and MRD evaluations. Conclusions These results show that extended KRd tx with incorporated ASCT results in high rates of deep responses, including high rates of MRD-negative disease. The achievement of high rates of sustained MRD-negative status correlates with high rates of 3-yr PFS and OS in overall and high-risk pt populations. These observations provide rationale for using sustained MRD-negative rates as a reliable predictor of improved tx outcomes for the entire pt population, which will require validation in ongoing and planned randomized trials. Download : Download high-res image (109KB) Download : Download full-size image Disclosures Jakubowiak: Amgen Inc., BMS, Celgene, Janssen, Karypharm, Millennium-Takeda, Sanofi, SkylineDX: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; University of Chicago: Employment. Raje: Millenium: Consultancy; Celgene: Consultancy; Onyx: Consultancy; Amgen: Consultancy. Vij: Bristol-Meyers-Squibb: Honoraria; Amgen: Honoraria, Research Funding; Celgene: Honoraria; Jazz: Honoraria; Janssen: Honoraria; Takeda: Honoraria, Research Funding; Abbvie: Honoraria; Konypharma: Honoraria. Reece: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Research Funding; Otsuka: Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding. Berdeja: Teva: Research Funding; Takeda: Research Funding; Amgen: Research Funding; Novartis: Research Funding; Janssen: Research Funding; Curis: Research Funding; Constellation: Research Funding; BMS: Research Funding; Bluebird: Research Funding; Celgene: Research Funding; Vivolux: Research Funding; Abbvie: Research Funding. Stephens: TG Therapeutics: Employment, Equity Ownership. Rosenbaum: Celgene: Honoraria. Richardson: Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Oncopeptides AB: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Severson: University of Chicago: Employment. McIver: The University of Chicago Biological Sciences: Employment. Wolfe: University of Chicago Medicine: Employment. Johnson: The University of Chicago >> BSD MED - Hematology and Oncology Research Staff: Employment. Dytfeld: Amgen: Consultancy; Celgene: Consultancy; Janssen: Consultancy. Turowski: University of Chicago: Employment. Hycner: University of Chicago: Employment. Zimmerman: Abbvie: Employment.
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 | 0,001 |
| 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 ».