Outcomes of Standard-Risk Multiple Myeloma Patients Who Undergo Upfront Autologous Hematopoietic Stem Cell Transplantation
Notice bibliographique
Résumé
Patients with multiple myeloma (MM) without high-risk cytogenetic abnormalities are classified as having standard-risk MM (SRMM), and data focusing on their outcomes after autologous hematopoietic stem cell transplantation (autoHCT) are limited. We sought to evaluate survival outcomes for patients with SRMM receiving autoHCT, and to elucidate factors that impact these outcomes. This was a single-center retrospective analysis that included consecutive MM patients who received upfront autoHCT between 2013 and 2021, had available cytogenetic information and had no high-risk chromosomal abnormalities on fluorescence in situ hybridization, defined as t(4;14), t(14;16), del(17p) or 1q21 gain or amplification. A total of 1000 SRMM patients were included, with a median age of 61 years (range 25 to 83), and 61% were male (n = 612). The most common induction regimens were bortezomib/lenalidomide/dexamethasone (VRD; n = 398, 40%) and carfilzomib/lenalidomide/dexamethasone (KRD; n = 212, 21%), and the majority (87%) received single-agent melphalan as conditioning. After induction and before autoHCT, 16% and 57% achieved ≥complete response (CR) and ≥very good partial response (VGPR), respectively. At day 100 post autoHCT, 37% and 77% achieved ≥CR and ≥VGPR, respectively. Sixty-two percent and 89% of patients achieved ≥ CR and ≥VGPR as best response post-transplant. A minimal residual disease (MRD) negative response pre- and post-transplantation was achieved in 43% (401/936) and 64% (199/311) of patients, respectively. After a median follow-up of 42.1 months, the median progression-free survival (PFS) for the entire cohort was 68.3 months (95% CI 60.1 to 72.1), and the median overall survival (OS) was not reached (95% CI 102.3-not reached). The 5-year PFS and OS rates were 55% and 83%, respectively. In multivariable analysis, achieving MRD-negative CR prior to autoHCT (HR 0.65 [95% CI 0.44 to 0.97], P = .033) or as best response (0.52 [0.34 to 0.78], P = .002), and use of post-transplant maintenance (0.69 [0.52 to 0.93], P = .013) and lenalidomide-based combination maintenance (0.68 [0.48 to 0.96], P = .030) were associated with improved PFS, whereas use of an induction regimen other than KRD was associated with worse PFS (1.50 [1.04 to 2.17], P = .031). For OS, post-transplant maintenance (0.48 [0.32 to 0.70], P < .001) was associated with better survival in multivariable analysis, whereas R-ISS stage III, compared with stage I, (2.34 [1.01 to 5.43], P = .047) was associated with worse OS. Patients with SRMM who received upfront autoHCT had a median PFS of >5.5 years, and median OS was not reached. These results highlight the favorable outcomes with upfront autoHCT for patients with SRMM, serving as a benchmark for future therapeutic approaches in this subgroup of MM patients.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 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 ».