Bortezomib and High Dose Melphalan (Bor-HDM) Compared to HDM Conditioning for the Treatment of Transplant Eligible Multiple Myeloma: Report from a Single Center
Notice bibliographique
Résumé
Abstract Introduction Preclinical and clinical data suggest that bortezomib in combination with high-dose melphalan (Bor-HDM) provides with a synergistic effect able to improve the quality of response for MM patients undergoing auto-SCT. In the present study, we aimed to assess the impact of Bor-HDM conditioning on ORR, and MRD negativity for MM patients undergoing single auto-SCT at our Institution. Methods All consecutive patients who underwent single auto-SCT at Tom Baker Cancer Center (TBCC) from 01/2004 to 06/2015 using Bor-HDM or HDM as conditioning regimen were evaluated. Definitions of response and progression were used according to the EBMT modified criteria and a category of very good partial response (VGPR) was added. MRD negativity was assessed by multiparameter flow cytometry. All patients received induction chemotherapy before undergoing auto-SCT. Bortezomib was administered intravenously at 1-1.3 mg/m2 on days −5, −2, 1, and 4, while melphalan was given at 200 mg/m2 on day −1. 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. Results Two-hundred and fifty-eight consecutive patients receiving Bor-HDM or HDM alone were evaluated. A total of 85 patients received Bor-HDM conditioning and 173 received HDM. Clinical characteristics and chemotherapy induction regimens are listed in Table 1. At day-100 post auto-SCT a ³VGPR was seen in 83.3% in the Bor-HDM group compared to 67.6% for HDM patients. The CR/nCR rate was higher in the Bor-HDM group (47.6% vs 23.6%) as well as MRD negativity assessed by flow cytometry (30.9% vs 9.7%, p=0.0001). Median OS in the Bor-HDM group was NR compared to 95 months for HDM alone (p=0.572), while median PFS was 39.3 months for Bor-HDM compared to 27 months for HDM (p=0.1). Median OS was shorter in the HR cytogenetic group regardless of the type of conditioning regimen employed (39 months vs NR for SR cytogenetics). In addition, patients who achieved MRD negativity, exhibited a longer OS (NR vs 78 months, p=0.007). Transplant-related mortality (TRM) was similar between both groups (p0.5). In conclusion, Bor-HDM is a safe and efficacious conditioning regimen able to increase the nCR/CR and MRD negativity rates compared to HDM. Further studies are warranted to explore this regimen, especially when other upfront therapies are employed, with special view on the high-risk MM patients where response rates are good but sustainability remains an issue. Table 1. Clinical Characteristics Characteristic Bor/HDM, N=85 HDM alone, N=173 Age (median) 58 59 GenderMaleFemale 51 (60%)34 (40%) 113 (65.3%)60 (34.7%) Hb (g/L) 112 117 Calcium (µmol/L) 2.25 2.29 Creatinine (µmol/L) 85 80 B2microglobulin (µmol/L) 3.3 2.79 Albumin (g/L) 31 35 Stage IStage IIStage III 154723 617333 M-spike (g/L) 34 30 LDH (IU/L) 194 180 BMPC (%) 40 33 Heavy chain:IgGIgAIgDFLC onlyBiclonalIgM 491811511 1142403210 Light chain:KappaLambdaBiclonal 50351 124471 High riskStandard risk 2263 36135 InductionCyBorDVDDexamethasoneRVD 4524016 16544315 Figure 1. Overall Survival for patients with MM undergoing single auto-SCT according to the type of conditioning regimen Figure 1. Overall Survival for patients with MM undergoing single auto-SCT according to the type of conditioning regimen Figure 2. Progression-Free survival for patients with MM undergoing single auto-SCT according to the type of conditioning regimen Figure 2. Progression-Free survival for patients with MM undergoing single auto-SCT according to the type of conditioning regimen Figure 3. Overall Survival for patients with MM undergoing single auto-SCT according to MRD negativity assessed by flow cytometry Figure 3. Overall Survival for patients with MM undergoing single auto-SCT according to MRD negativity assessed by flow cytometry Disclosures Jimenez-Zepeda: Celgene: Honoraria; J&J: Honoraria; Amgen: Honoraria. Duggan:Jansen: Honoraria; Celgene: Honoraria. Neri:Celgene: Research Funding. Bahlis:Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Johnson & Johnson: Speakers Bureau; Johnson & Johnson: Consultancy; Amgen: Consultancy; Johnson & Johnson: Research Funding.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».