Impact of Maintenance Therapy after Salvage Autologous Stem Cell Transplantation in Relapsed Multiple Myeloma
Notice bibliographique
Résumé
Background: Salvage autologous stem cell transplantations (ASCT) in the setting of relapsed multiple myeloma have historically been an important therapeutic option. There have not been any comparative studies looking at this approach in the era of novel therapeutic agents such as monoclonal antibodies and emerging immunotherapies. It is important to have a real world benchmark when understanding the landscape of potential treatments in this space. Maintenance therapy post frontline autologous stem cell transplantation has become standard of care due to the important improvement in progression free survival (PFS) as well as overall survival (OS). However, little is known about the impact of maintenance post-salvage transplant. The objectives of this study are to define PFS and OS for salvage transplants with or without maintenance and describe the outcomes by types of maintenance utilized in this setting. Secondly, to redefine the optimal duration of remission post-first transplant in the maintenance era that would justify a second autologous transplant. Historically, in the pre-maintenance era, 24 months was demonstrated as an optimal remission post first transplant to gain benefit from a second salvage transplant. Methods: This is a Canadian multicentre retrospective study utilizing the Canadian Myeloma Research Group Database, a national database with input from 16 Canadian centres hosting over 8700 patients. All patients included in the study had undergone a salvage ASCT between Jan 2012 to Dec 2021 at any line of treatment. Results: Three hundred and fifty-two patients met eligibility for inclusion in this analysis. Baseline characteristics are portrayed in table 1. The median PFS (mPFS) for patients undergoing salvage transplant with (n= 179) and without (n=173) maintenance were 42.1 (34.8-53.6) and 24.2 (20.7-28.1) months respectively. The mOS was 101m (97.6-NYR) in the maintenance group and NYR (53.7-NYR) in the no maintenance group. In patients who received any type of maintenance post ASCT1 (n=169) and had a duration of response greater than 36m to the first transplant, the salvage transplant without maintenance (n=54) provided a mPFS of 17.3m (15.2-35). In a similar group that had greater than 36m response and received maintenance after ASCT1 (n=92), the addition of maintenance after the salvage transplants significantly improved the mPFS to 34.8m (26.5-51, p=<0.01). Patients that received maintenance post ASCT1 and had less than 36m PFS represent a higher risk group. In these patients, a salvage transplant without post salvage maintenance (n=10), yielded a mPFS of 9.9m (8.5-NYR). The addition of post salvage maintenance, however, significantly improved outcomes for this group as well (n=13) to a mPFS of 29.1(14.6-NYR). The most common type of maintenance post-salvage was imid based (55.9%), followed by PI based (30.2%) and then PI+imid (7.8%). Overall response rates for salvage transplants with or without maintenance therapy were 94.1% and 89.9% respectively and > VGPR were 75.3% and 67.6% respectively. The mPFS based on type of maintenance therapy are portrayed in figure 1. There was no statistically significant difference in OS based on types of maintenance therapy. Further analyses are pending and will be presented. Conclusion: Salvage transplants followed by maintenance therapy in the first relapse space provide a meaningful duration of remission and this remains a good treatment option particularly in those with a long remission after their first ASCT. As novel immunotherapies such as CAR-T and bispecific antibodies move into earlier lines of treatment, this data could serve as an important real world benchmark when evaluating the landscape for these therapies. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».