High-Risk Cytogenetics Multiple Myeloma: Impact of Consolidation and Maintenance
Notice bibliographique
Résumé
Abstract Introduction MM is a very heterogeneous disease for which several new treatments have become available over the past decade. With the advent of novel agents, the outcomes of this disease have improved dramatically. Unfortunately, High-risk myeloma (HRM) defined by the presence of del(17p), t(4;14), t(14;16), del13q by conventional karyotype and hypodiploidy, continues to exhibit poorer outcomes. Based on the above mentioned, we aimed to assess the clinical outcomes of patients with HRM treated at our center. Methods All consecutive HRM patients who underwent single auto-SCT at Tom Baker Cancer Center (TBCC) from 01/2004 to March/2016 were evaluated. HRM was defined by FISH and conventional karyotype when available. Two-sided Fisher exact test was used to test for differences between categorical variables. A p value of <0.05 was considered significant. Survival curves were constructed according to the Kaplan-Meier method and compared using the log rank test. All statistical analyses were performed by using the SPSS 22.0 software. Results 73 consecutive patients with HRM underwent single auto-SCT at our Institution over the defined period. Clinical characteristics are shown in Table 1. Eighty-seven percent of patient received bortezomib-containing regimens as induction regimens. Day-100 response post-ASCT is seen in Table 1. Consolidation was given to 41.7% and maintenance to 79% of cases. At the time of analysis, 43 patients are still alive and 40 have already progressed. Median OS and PFS were 50.8 and 21.9 months, respectively for the whole group. Median OS was 50.4 months for the group receiving consolidation compared to 39 months for those without (p=0.1). In addition, median PFS was longer in the group treated with consolidation (NR, Estimate 25 months vs 13.5 months, p=0.02, Fig1a). Furthermore, OS and PFS were longer in the group receiving some form of maintenance compared to those without (56.3 and 22.5months vs 19.9 and 9 months, p=0.04 and 0.01, respectively) (Fig 1b and c). In conclusion, HRM is an aggressive form of myeloma where the OS and PFS are shorter than the standard risk MM. Consolidation and maintenance strategies seemed to increase both OS and PFS in our current report, but clinical outcomes are still poor. Novel strategies such as immune modulation,check-point inhibition, among others are needed to maximize the impact of the consolidation and maintenance phases in this group of patients. Progression-Free Survival and consolidation Progression-Free Survival and consolidation Figure 1 Overall survival and maintenance Figure 1. Overall survival and maintenance Figure 2 Progression-Free survival and maintenance Figure 2. Progression-Free survival and maintenance Disclosures Jimenez-Zepeda: Janssen: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Celgene, Janssen, Amgen, Onyx: Honoraria. Neri:Celgene and Jannsen: Consultancy, Honoraria. Bahlis:Amgen: Consultancy, Honoraria; BMS: Honoraria; Onyx: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».