Disease Characteristics and Outcomes of 504 Young Patients Diagnosed with Multiple Myeloma Treated with Modern Therapies in Canada
Notice bibliographique
Résumé
Background:Multiple myeloma (MM) mostly affects older adults. Although representing around 10% of all cases, patients ≤ 50 years old suffer from the highest number of years lost due to their disease. MM in young patients occurs during their most productive years of life, resulting in a significantly higher personal, familial, professional, and economic burden. Young MM patients are currently underrepresented in clinical trials due to small numbers overshadowed in cohorts of older patients. Their disease characteristics and outcomes following modern treatments remain poorly understood (Tanguay M et al., Current Oncol 2023). The purpose of this study is to report disease characteristics, treatments, and outcomes of young MM patients treated in Canada. Methods:This is a retrospective study using the Canadian Myeloma Research Group Database, which is a repository of real-world patient data reflecting 17 of the major MM academic centers across Canada. All patients 18-50 years old with newly diagnosed MM between January 1, 2010 and July 1, 2022 were included. High-risk (HR) cytogenetics were defined as either del17p, t(4;14) or t(14;16). Survival analyses were performed using the Kaplan-Meier method. Results:Among the 6,604 patients newly diagnosed with MM during the study period, 504 (7.6%) were aged between 18-50 years, and included in this analysis. Within this young group, 87 (17.3%) were 18-40 years old and 417 (82.7%) were between 41-50 years. MM was diagnosed in 301 (59.7%) patients between 2010 to 2015, and in 203 (40.3%) patients between 2016 to 2022. The median age at diagnosis was 45.9 years (range 25.6 to 50). Male patients represented 57.7% of the cohort. IgG was the most common isotype in 251 (49.8%) cases, while 115 (22.8%) patients had light chain disease. In 375 patients with available data, 16% were R-ISS 1, 73.1% R-ISS 2, and 10.9% R-ISS 3. Lytic lesions, elevated creatinine, anemia, hypercalcemia, and high LDH were respectively present in 46.8%, 15.5%, 44%, 18.8%, and 18.7% of patients. HR cytogenetics were present in 23.7% of patients, with del17p in 11.5%, t(4;14) in 14.9%, and t(14;16) in 5.1%; while 1q+ and del1p were detected in 27.9% and 15.3%, respectively. Twelve (2.4%) patients were diagnosed with plasma cell leukemia. First-line treatment was proteasome inhibitor (PI)-based in 462 (91.7 %) and immunomodulatory (IMiD) agent-based in 7 (1.4 %); 18 (3.6%) received both a PI and an IMiD and 17 (3.4%) were treated with other modalities. Among all patients, 453 (89.9%) underwent autologous stem cell transplant (ASCT) during their disease course. Some patients did not receive ASCT for the following reasons: early death before ASCT in 10 (2%) cases, lost to follow-up prior to ASCT in 13 (2.6%) cases, deemed ineligible for ASCT or patient declined in 24 (4.8%) cases, and participation in a clinical trial not involving ASCT in 1 (0.2%) case. Out of the entire cohort, allogeneic-SCT (allo-SCT) was performed in only 11 patients (2.2%), including 3 (0.6%) who received allo-SCT alone without ASCT. Among patients who received maintenance post ASCT, 93.6% were treated with a lenalidomide-based regimen. Median duration of the different maintenance treatments was 21.2 months. With a median follow-up of 51.9 months (range 0.9 to 154), median PFS (progression-free survival) was 55.4 months (95% CI 49.1-70.2), while median OS (overall survival) was not reached. The 5-year OS and PFS were 78% (95% CI 74-82) and 48% (95% CI 43-53), respectively, whereas the 10-year OS and PFS were 64% (95% CI 58-71) and 28% (95% CI 22-35), respectively (Figure 1a). Median PFS for patients with any HR cytogenetics was 37.9 months (95% CI 29.6-62.8) vs 64.5 months (95% CI 50.6-80.7) for patients with standard-risk cytogenetics (p=0.004) (Figure 1b). We observed no difference in disease characteristics, treatments, and outcomes after comparing cohorts aged 18-40 years old vs 41-50 years old. Conclusions: This is among the largest real-world cohorts of young MM patients ≤ 50 years old treated with modern therapies ever reported. Most patients were R-ISS 2 (73.1%), 23.7% had known HR cytogenetics, and the majority (91.7%) received a PI-based first-line treatment. Outcomes of specific subgroups are under analysis and will be presented. Although the OS was not yet reached in this young population, the median PFS of only 55.4 months highlights the urgent need to develop more effective treatments to induce deeper and more durable responses.
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 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».