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Enregistrement W3217295000 · doi:10.1182/blood-2021-148191

Lenalidomide Dosing and Outcomes in Transplant-Ineligible Patients with Newly-Diagnosed Multiple Myeloma: A Multi-Institutional Report from the Canadian Myeloma Research Group (CMRG) Database

2021· article· en· W3217295000 sur OpenAlexaffabout
Hira Mian, Richard LeBlanc, Martha Louzada, Esther Masih‐Khan, Arleigh McCurdy, Christopher P. Venner, Julie Stakiw, Moustafa Kardjadj, Víctor H. Jiménez‐Zepeda, Michaël Sébag, Darrell White, Muhammad Aslam, Kevin Song, Tony Reiman, Rami Kotb, Engin Gul, Donna Reece

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensSaint John Regional HospitalBC Cancer AgencyQueen Elizabeth II Health Sciences CentreDalhousie UniversityMcGill University Health CentrePrincess Margaret Cancer CentreUniversity of CalgaryCancerCare ManitobaOttawa HospitalHôpital Maisonneuve-RosemontWestern UniversityUniversity of AlbertaUniversité de MontréalLondon Health Sciences CentreMcMaster University
Organismes subventionnairesnon disponible
Mots-clésLenalidomideTolerabilityMedicineMultiple myelomaDosingIxazomibInternal medicineHazard ratioOncologySurgeryAdverse effectCarfilzomibConfidence interval

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Lenalidomide-based regimens represent a cornerstone of treatment for newly-diagnosed transplant-ineligible patients with multiple myeloma (TI NDMM). Although lenalidomide-containing regimens are associated with improved outcomes, there is also significant toxicity leading to dose reductions and/or interruptions even among patients selected for clinical trial participation. Product monograph recommendations suggest full dose lenalidomide (25 mg) for CrCl ≥ 60 mL/min; however, there is limited data on how these dose modifications are applied in the real-world. Furthermore, it is unknown how real-world dosing strategies and modifications impact patient outcomes. Understanding the dosing, efficacy and tolerability of lenalidomide is important as this drug continues to form the backbone of many novel combination regimens. The objective of our study was to understand the dosing, efficacy and tolerability of lenalidomide among TI NDMM patients started on lenalidomide-dexamethasone (Rd) in the real-world. Methods The Canadian Myeloma Research Group (CMRG) Database is a national multi-centre prospectively maintained disease-specific database. All consecutive TI NDMM patients treated with Rd outside of a clinical trial were analyzed up to 30/09/2020. Patients were stratified by starting lenalidomide dose. Within each dose category, age and renal function (eGFR <60 or ≥ 60 ml/min) were documented and dose modifications and treatment duration were characterized. Retrospective chart reviews were conducted to assess for causes of dose modification (all grade toxicity). To assess the long-term impact of dose reduction and minimize the effect of early mortality, a landmark analysis for progression-free survival (PFS) and overall survival (OS) 12 months following therapy initiation was conducted comparing those who received a dose reduction versus no reduction within the first year using the log-rank test. Results Of 298 TI NDMM patients receiving Rd in first-line treatment, 131 patients were excluded as they received the regimen on a clinical trial. Baseline characteristics of the 167 included patients are shown in Table 1. The median age was 77 with 22.6% having high-risk cytogenetics. Impaired renal function (eGFR < 60 ml/min) was present in 41.4% of patients. Median time from diagnosis to Rd initiation was 0.7 months (range 0.1 - 92.5). Starting dose, age and renal function at therapy initiation, dose modification details and treatment duration are outlined in Table 2 for 163 patients. Sixty-two (38.0%) were started on a dose of 25 mg. The median age in this dose group was 74 years and 87.5% had normal renal function. One hundred and one patients (62.0%) were started on a dose < 25 mg of lenalidomide. Among this group 42.2% had normal renal function. In the overall cohort, fifty-seven (35.0%) patients required dose reduction during therapy. Among patients started on 25 mg, 40.3% required dose reduction with the median time to first dose reduction of 11.5 months (range 0.8-56.9). Among patients started on < 25 mg, 31.7% required dose reduction with details shown in Table 2. Dose reduction reasons were documented in 35.0% patients. Most frequent causes of dose reduction (>20% of the patients) included fatigue (31.6%), neutropenia (29.8%), diarrhea (22.8%), rash (22.8%) and thrombocytopenia (21.1%). For the entire cohort, the median follow-up was 33.2 months (95% Cl 0.5-113.2). The ORR was 78.7% with 52.0% ≥ VGPR. The median PFS and OS was 21.0 months (95% CI 14.9-27.4) and 55.5 months (95% CI 45.7-84.0) respectively. In a landmark analysis at 12 months following therapy initiation, there were no significant differences noted for PFS and OS between patient groups that required dose modification versus not in the first year following diagnosis (Figure 1A and B). Conclusion In this real-world observational study, lenalidomide dose modifications were common both at diagnosis and during therapy. Among patients started on <25 mg, 42% had normal renal function suggesting that additional factors affected clinician dosing strategy. Furthermore, although 35% of the cohort required dose reduction during therapy, dose reductions in the first year did not have a significant impact on PFS and OS. Our study highlights that although dose modifications are common in the real-world, lenalidomide-based regimens continue to be effective among TI NDMM patients. Figure 1 Figure 1. Disclosures Mian: Celgene, Janssen, Amgen, Takeda, Sanofi, GSK: Honoraria; Janssen: Research Funding. Leblanc: Janssen Canada: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene Canada: Membership on an entity's Board of Directors or advisory committees; Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Sanofi Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Research Funding. Louzada: Celgene: Honoraria; Janssen: Honoraria; Pfizer: Honoraria; Amgen: Honoraria. McCurdy: Sanofi: Honoraria; GSK: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Venner: Celgene: Research Funding; Takeda: Honoraria; Amgen: Honoraria; Janssen: Honoraria; Amgen: Research Funding. Jimenez-Zepeda: BMS, Amgen, Takeda, Janssen: Honoraria. Sebag: Karyopharm Therapeutics: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Bristol Myers-Squibb: Consultancy, Honoraria; Janssen: Research Funding. White: Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Antengene: Consultancy, Honoraria; Forus: Consultancy, Honoraria; GSK: Consultancy, Honoraria; Karyopharm Therapeutics Inc.: Consultancy, Honoraria. Song: Celgene: Research Funding; Celgene, Janssen, Amgen, Takeda: Honoraria. Reiman: Compositions and Methods for Inhibiting Blood Cancer Cell Growth. Canadian Patent Pending 176000 (2017-10-20) Peptides for the Treatment of Resorptive Bone Disease. Murugesan A and Reiman T. United States Provisional Patent; 62/249,471 (2015-11-02). Cance: Patents & Royalties; Myeloma Canada, Canadian Institutes of Health Research, New Brunswick Health Research Foundation, Canadian Cancer Society, Terry Fox Research Institute, AstraZeneca, Roche, Pfizer, Amgen, BristolMyersSquibb,: Research Funding; Myeloma Canada: Membership on an entity's Board of Directors or advisory committees. Kotb: Amgen: Honoraria; Sanofi: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Akcea: Honoraria; Pfizer: Honoraria; Karyopharm: Current holder of individual stocks in a privately-held company; Celgene: Honoraria; BMS: Honoraria; Takeda: Honoraria; Janssen: Honoraria. Reece: Karyopharm: Consultancy, Research Funding; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Millennium: Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Sanofi: Honoraria; BMS: Honoraria, Research Funding; GSK: Honoraria; Janssen: Consultancy, Honoraria, 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,371
Score d'incertitude au seuil0,747

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,009
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,048
Tête enseignante GPT0,315
Écart entre enseignants0,268 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2021
Routes d'admission2
Résumé présentoui

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