Second Line Treatment and Outcomes of Patients with Multiple Myeloma: A Real World Multi-Institutional Report from the Canadian Myeloma Research Group (CMRG) Database
Notice bibliographique
Résumé
Introduction: The treatment of multiple myeloma (MM) has evolved rapidly, with various combinations of immunomodulators (IMiDs), proteasome inhibitors (PIs), corticosteroids and autologous stem cell transplantation (ASCT) utilized in newly diagnosed (ND) patients; in some jurisdictions, monoclonal antibodies (MABs) are also incorporated in first-line treatment. Over the last decade, the standard of care in Canada for NDMM in fit younger patients has consistently been induction (CyBorD/more recently RVD) followed by ASCT and maintenance lenalidomide (len) until progression. In transplant-ineligible patients, bortezomib- or len-based treatments in doublets or triplets have been used frontline. At relapse, options have included re-induction followed by 2nd ASCT or doublet/triplet combinations until progression. Limited comparative data are available to support any one approach. The aim of this retrospective study was to assess the treatment patterns and outcomes of MM patients treated at 1st relapse in a real-world setting. This data may be useful to myeloma stakeholders when evaluating the potential impact of even newer novel immunotherapeutic agents in patients in who have had 1 prior line of treatment. Methods: We performed a retrospective observational study using the Canadian Myeloma Research Group Database (CMRG-DB), which is a prospectively maintained disease-specific database with ≥ 9000 patients enrolled from 16 academic sites across Canada. All MM patients who initiated second-line therapy between 01/12/2010 - 30/06/2022 were included and results were analyzed up to 23/05/2023. We aimed to evaluate the following outcomes for each second-line regimen: overall response rate (ORR), progression-free survival (PFS) and overall survival (OS), calculated from the start of second-line therapy. Survival was estimated using Kaplan-Meier methods and compared between groups using the log rank test. Results: A total of 3569 patients were identified: 1638 (45.9%) who had prior ASCT and 1931 (54.1%) non-ASCT patients. 2715 (76%) patients were bortezomib-exposed in first line, 1052 (30%) were lenalidomide-exposed; 22% had high-risk cytogenetics. The most commonly used second-line regimens were Rd in 1325 (37%) of patients, DRd in 346 (10%), CyBorD in 291 (8%), 2nd ASCT in 270 (8%), RVd in 201 (6%) and DVd in 167 (5%). Outcomes including ORR, ≥ VGPR rate, PFS and OS from second-line treatment for regimens with >50 patients are presented in Table 1. Among all patients, the highest ORRs were seen with DRd (90%), 2nd ASCT (89%), Kd/KCd (79%), RVd (78.1%) and KRd (74%); DRd had the highest ≥ VGPR rate (66%). In patients who had received bortezomib-based first line treatment, the second line ORRs were 96%, 98% and 95% for VRd, KRd and DRd, respectively, with a corresponding median PFS of 20 months (VRd), 19 months (KRd) and 28 months (DRd). For patients who had len-based first line treatment, the second line ORRs were 80% for Kd/KCd and 95% for DVd with a median PFS of 16 months (Kd/KCd) and 11 months (DVd), respectively. The median PFS was 41 months after 2 nd ASCT; of these patients, 68% were exposed to bortezomib in first line and 34% were len exposed in first line. The median PFS was 30 months in those who had len maintenance after their 1 st transplant compared to 60 months in those with no initial maintenance. Conclusion: In this real-world observational study we demonstrate that Canadian patients achieved results comparable those noted in prospective clinical trials leading to the approval of these agents in the second-line setting. Triplet combinations with an IMID backbone, including DRd, KRd and Ixa-Rd, had high response rates, with DRd offering the longest PFS. Patients undergoing 2 nd ASCT had ORRs and PFS comparable to DRd, although these results were likely influenced by selection of a population with a favorable response to 1st ASCT . Given the expanding use of IMID, PI and MAB combinations in first-line, our results highlight the need for better modalities at the time of 1 st relapse. Earlier integration of “novel” agents, including CAR-T therapy, bi-specifics, conjugated antibodies and CEL-MoDs-even in the second-line setting–is likely required to improve on these outcomes. The current analysis provides efficacy benchmarks to guide their implementation. Financial Support: CMRG received financial support from Janssen Inc. for the conduct of this study
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,011 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».