Patient Outcomes By Prior Therapies and Depth Of Response: Analysis Of MM-003, a Phase 3 Study Comparing Pomalidomide + Low-Dose Dexamethasone (POM + LoDEX) Vs High-Dose Dexamethasone (HiDEX) In Relapsed/Refractory Multiple Myeloma (RRMM)
Notice bibliographique
Résumé
Abstract Background Patient (pt) survival after becoming refractory/intolerant to novel agent treatment (Tx) is short (Kumar 2012). Depth of response has been shown to predict favorable outcomes (Harousseau, 2010). POM is a distinct oral IMiD® immunomodulatory agent with 3 primary activities: direct anti-myeloma activity, stromal cell-support inhibition, and immune modulation (Quach, 2010). POM has been approved by the US FDA for RRMM pts with ≥ 2 prior Tx, including lenalidomide (LEN) and bortezomib (BORT), and progressive disease (PD) on or within 60 days of completion of the last line of Tx. The randomized phase 3 trial MM-003 demonstrated significantly longer progression-free survival (PFS) and overall survival (OS) with an acceptable tolerability profile for POM + LoDEX vs HiDEX in pts with RRMM (San Miguel, EHA 2013). Methods Pts must have been refractory to last prior Tx (PD during Tx or within 60 days) and exhausted BORT and LEN after ≥ 2 consecutive cycles of each (alone or in combination). Pts were randomized 2:1 to receive 28-day cycles of POM 4 mg D1-21 + DEX 40 mg (20 mg for pts aged > 75 y) weekly or DEX 40 mg (20 mg for pts aged > 75 y) D1-4, 9-12, and 17-20. HiDEX was chosen as the comparator to isolate the effects of POM as at the time of trial design it was the standard salvage Tx for heavily pretreated pts. Tx continued until PD or unacceptable toxicity. The primary endpoint was PFS. Secondary endpoints included OS, time to progression (TTP), overall response rate (ORR; ≥ partial response [PR]), and safety. The current analysis describes pt outcomes by prior Tx history and depth of response. Results 302 pts were randomized to POM + LoDEX and 153 pts to HiDEX. Pt characteristics were well balanced between Tx arms. The median number of prior Tx was 5 (range, 2-17). Most pts (75%) were refractory to both BORT and LEN. POM + LoDEX significantly prolonged PFS vs HiDEX regardless of type or number of prior Tx (Table). OS favored POM + LoDEX for all subgroups analyzed. Importantly, significant OS benefits were observed in pts with ≤ 3 prior Tx and in pts who were refractory to LEN as last prior Tx. The ORR was consistently and significantly higher for POM + LoDEX vs HiDEX. The TTP for POM + LoDEX pts was similar in this trial vs that seen with their last prior LEN-based line of Tx (4.8 vs 6.2 months; P =.11). Additionally, LEN as the last prior Tx did not negatively impact PFS, OS, or ORR when compared with the intent-to-treat (ITT) population. In the POM + LoDEX arm, a total of 17 pts (6%) achieved a very good partial response or better, and 78 pts (26%) achieved PR as best response. Baseline characteristics were generally similar regardless of the degree of M-protein reduction. Analyses of the correlation between M-protein reduction and PFS and OS are ongoing and will be presented at the meeting. Conclusions In this heavily pretreated population, POM + LoDEX provided consistent efficacy regardless of number of prior Tx or prior Tx type. Significant OS benefits were observed for pts who received POM + LoDEX earlier in Tx and immediately following the development of LEN-refractory disease. Importantly, LEN as last prior Tx did not impact response, PFS, or OS vs the overall ITT population. POM + LoDEX should be considered a standard Tx option in RRMM pts. Disclosures: San Miguel: Onyx: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Millenium: 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; Celgene: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Off Label Use: POM is approved in the US but not in Europe. Weisel:Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding. Song:Celgene: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau. Delforge:Celgene: Honoraria. Karlin:Celgene: Export board committee Other, Honoraria; Janssen: Honoraria. Goldschmidt:Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Moreau:Celgene: Honoraria, Speakers Bureau. Oriol:Celgene: Consultancy. Cavo:Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Onyx: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Millennium: 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; Celgene: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Alegre:Celgene: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Martinez-Lopez:Celgene: Honoraria, Research Funding. Chen:Celgene: Consultancy, Honoraria, Research Funding. Renner:Celgene: Consultancy, Honoraria, Travel support Other. Bahlis:Celgene: Consultancy, Honoraria, Research Funding. Yu:Celgene: Employment, Equity Ownership. Teasdale:Celgene: Employment, Equity Ownership. Sternas:Celgene: Employment, Equity Ownership. Jacques:Celgene: Employment, Equity Ownership. Zaki:Celgene: Employment, Equity Ownership. Dimopoulos:Celgene: Honoraria, Membership on an entity’s Board of Directors or advisory committees.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| 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 ».