Impact of Response Quality on Survival Outcomes in Transplant-Ineligible Newly Diagnosed Multiple Myeloma (NDMM) Patients (Pts): Results from the First Trial
Notice bibliographique
Résumé
Abstract Background: In the pivotal phase 3 FIRST trial, continuous lenalidomide plus low-dose dexamethasone (Rd) improved progression-free survival (PFS), overall survival (OS), and response compared with fixed-duration treatment (Tx) with either Rd or the combination of melphalan-prednisone-thalidomide (MPT) in transplant-ineligible NDMM pts (Facon, Blood 2013). Here we examine if pts achieving complete remission (CR) or at least very good partial response (≥ VGPR) equally benefit from continuous Rd. Methods: Pts were randomized to continuous Rd until progressive disease (PD; N= 535); Rd for 18 cycles (72 weeks) (Rd18; N = 541); or MPT for 12 cycles (72 weeks) (N = 547). The primary endpoint was PFS (continuous Rd vs. MPT). The secondary endpoints included OS, response rate (assessed using IMWG criteria), time to response, duration of response (DOR), time to Tx failure, time to next antimyeloma Tx, health-related quality of life, and safety. With a data cutoff of May 24, 2013, the median follow-up was 37.0 months (mos). Results: In pts who achieved ≥ VGPR, median PFS was significantly longer (NR) with continuous Rd compared with Rd18 (31.0 mos; HR = 0.46; P < 0.01) or MPT (34.7 mos; HR = 0.55; P < 001). Even greater benefit of continuous Rd was observed compared with Rd18 or MPT in pts who achieved CR, where the median PFS with continuous Rd was NR vs. 45.2 mos with Rd18 (HR = 0.29; P < 0.01) and 44.6 mos with MPT (HR = 0.28; P < 0.01) (Table 1). In the intent-to-treat population, duration of response (DOR) was 35 mos with continuous Rd, which was significantly longer of almost a year vs. Rd18 (22.1 mos; HR = 0.60; P < 0.01) or MPT (22.3; HR = 0.63; P < 0.01). Importantly, the DOR was significantly longer with continuous Rd vs. Rd18 or MPT across all response categories, including pts with CR. Median duration of CR was NR vs. 43.6 mos in pts receiving continuous Rd vs. Rd18 (HR = 0.29; P < 0.01); ≥ VGPR, NR vs. 29.9 mos (HR = 0.46; P < 0.01); and ≥ PR, 35 mos vs. 22.1 mos (HR = 0.60; P < 0.01). In pts who achieved CR, 88% were disease-free after 36 mos with continuous Rd vs. 55% Rd18 and 54% MPT. In terms of OS, only interim data on continuous Rd vs. Rd18 or MPT on depth of response in the subgroups is presented in table 1. Conclusions: The DOR was significantly longer (12-18 mos) as was PFS in pts treated with continuous Rd vs. Rd18 or MPT regardless of the depth of response. The benefits of continuous Rd were more pronounced in pts who achieved a greater depth of response (≥ VGPR). These data suggest that continuing Tx after best response may further help in controlling the disease and delaying PD, especially in pts achieving CR. Longer follow-up may be needed to determine the impact of response quality on OS in pts receiving continuous Tx. Abstract 3458. Table 1. PFS, DOR, and OS in pts with NDMM CR (n = 209) ≥ VGPR (n = 618) ≥ PR (n = 1140) ≤ SD (n = 483) ITT pts (N = 1623) Median PFS (mos) Rd NR NR 37.7 3.7 27.4 Rd18 45.2 31.0 24.0 4.6 21.3 MPT 44.6 34.7 26.3 4.9 21.8 PFS, HR (95% CI); P-value Rd vs. MPT 0.28 (0.13–0.61); P < 0.01 0.55 (0.40–0.76); P < 0.01 0.67 (0.55–0.82); P < 0.01 1.60 (1.22–2.11); P < 0.01 0.68 (0.56–0.83); P < 0.01 Rd vs. Rd18 0.29 (0.15–0.58); P < 0.01 0.46 (0.34–0.60); P < 0.01 0.60 (0.49–0.72); P < 0.01 1.10 (0.82–1.48); P = 0.53 0.68 (0.55–0.83); P < 0.01 Median DOR (mos) Rd NR NR 35.0 – 35.0 Rd18 43.6 29.9 22.1 – 22.1 MPT 41.9 31.8 22.3 – 22.3 DOR, HR (95% CI); P-value Rd vs. MPT 0.27 (0.13–0.59); P < 0.01 0.54 (0.39–0.74); P < 0.01 0.63 (0.51–0.76); P < 0.01 – 0.63 (0.51–0.76); P < 0.01 Rd vs. Rd18 0.29 (0.15–0.59); P < 0.01 0.46 (0.35–0.61); P < 0.01 0.60 (0.50–0.72); P < 0.01 – 0.60 (0.50–0.72); P < 0.01 Median OS (mos) Rd NR NR 55.1 33.2 55.1 Rd18 NR NR NR 26.8 53.6 MPT NR NR NR 31.6 48.2 OS, HR (95% CI); P-value Rd vs. MPT 0.59 (0.23–1.49); P = 0.26 0.77 (0.50–1.180; P = 0.23 0.85 (0.64–1.11); P = 0.23 0.98 (0.72–1.33); P = 0.89 0.78 (0.64–0.96); P < 0.02 Rd vs. Rd18 0.84 (0.34–2.07); P = 0.71 0.82 (0.56–1.22); P = 0.33 0.90 (0.69–1.17); P = 0.45 0.97 (0.70–1.35); P = 0.85 0.90 (0.73–1.10); P =0.31 CI, confidence interval; ITT, intent-to-treat. Disclosures Bahlis: Celgene: Honoraria, Research Funding. Off Label Use: Lenalidomide used in newly diagnosed multiple myeloma patients. Stoppa:Celgene, Janssen: Honoraria. Decaux:Celgene and Janssen-Cilag : Consultancy, Honoraria. Marit:Celgene, Janssen: Congress expenses Other. Demuynck:Janssen-Cilag: Honoraria. Ervin-Haynes:Celgene: Employment. Leupin:Celgene: Employment. Marek:Celgene: Employment, Equity Ownership. Chen:Celgene: Employment. Facon:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.
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 | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».