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Enregistrement W613303972 · doi:10.1182/blood.v124.21.409.409

Efficacy and Safety of Lenalidomide (LEN) Versus Placebo (PBO) in RBC-Transfusion Dependent (TD) Patients (Pts) with IPSS Low/Intermediate (Int-1)-Risk Myelodysplastic Syndromes (MDS) without Del(5q) and Unresponsive or Refractory to Erythropoiesis-Stimulating Agents (ESAs): Results from a Randomized Phase 3 Study (CC-5013-MDS-005)

2014· article· en· W613303972 sur OpenAlexaff
Valeria Santini, António Almeida, Aristoteles Giagounidis, Stephanie Gröpper, Anna Jonášová, Norbert Vey, Ghulam J. Mufti, Rena Buckstein, Moshe Mittelman, Uwe Platzbecker, Ofer Shpilberg, Ron Ram, Consuelo del Cañizo, Norbert Gattermann, Keiya Ozawa, Jim Zhong, Francis Séguy, Albert Hoenekopp, C.L. Beach, Pierre Fenaux

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineLenalidomideAnemiaInternal medicineMyelodysplastic syndromesPlaceboClinical endpointRandomizationRefractory (planetary science)NeutropeniaGastroenterologyRandomized controlled trialSurgeryToxicityBone marrowMultiple myeloma

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Treatment options for RBC-TD pts with lower-risk MDS without del(5q) who are unresponsive or refractory to ESAs are very limited. In a previous phase 2 study, MDS-002 (CC-5013-MDS-002), LEN was associated with achievement of RBC-transfusion independence (TI) ≥ 56 days in 26% of pts with IPSS Low/Int-1-risk MDS without del(5q) (Raza et al. Blood 2008;111:86-93). This international phase 3 study (CC-5013-MDS-005) compared the efficacy and safety of LEN versus PBO in RBC-TD pts with IPSS Low/Int-1-risk MDS without del(5q) unresponsive or refractory to ESAs. Methods: This multicenter, randomized, double-blind, parallel-group phase 3 study included RBC-TD pts (≥ 2 units packed RBCs [pRBCs]/28 days in the 112 days immediately prior to randomization) with IPSS Low/Int-1-risk MDS without del(5q), who were unresponsive or refractory to ESAs (RBC-TD despite ESA treatment with adequate dose and duration, or serum erythropoietin [EPO] > 500 mU/mL). Pts were randomized 2:1 to oral LEN 10 mg once daily (5 mg for pts with creatinine clearance 40–60 mL/min) or PBO. Pts with RBC-TI ≥ 56 days or erythroid response by Day 168 continued double-blind treatment until erythroid relapse, disease progression, unacceptable toxicity, or consent withdrawal. The primary endpoint was RBC-TI ≥ 56 days (defined as absence of any RBC transfusions during any 56 consecutive days). Secondary endpoints included time to RBC-TI, duration of RBC-TI, RBC-TI ≥ 168 days, progression to acute myeloid leukemia (AML; WHO criteria), overall survival (OS), and safety. Baseline bone marrow gene expression profiles were evaluated according to the Ebert signature (PloS Med 2008;5:e35) identified as predictive of LEN response. Clinical trial identifier: CT01029262. Results: The intent-to-treat population comprises 239 pts (LEN, n = 160; PBO, n = 79). Baseline characteristics were comparable across treatment groups; median age 71 years (range 43–87), 67.8% male, and median time from diagnosis 2.6 years (range 0.1–29.6). Pts received a median of 3.0 pRBC units/28 days (range 1.5–9.8) and 83.7% received prior therapy, including ESAs (78.7%). Significantly more LEN pts achieved RBC-TI ≥ 56 days versus PBO (26.9% vs 2.5%; P < 0.001; Table). The majority (90%) of pts with RBC-TI ≥ 56 days responded within 16 weeks of treatment. Median duration of RBC-TI ≥ 56 days was 8.2 months (range 5.2–17.8). Baseline factors significantly associated with achievement of RBC-TI ≥ 56 days with LEN were: prior ESAs (vs no ESAs; P = 0.005), serum EPO ≤ 500 mU/mL (vs > 500 mU/mL; P = 0.015), < 4 pRBC units/28 days (vs ≥ 4 pRBC units/28 days; P = 0.036), and female sex (vs male; P = 0.035). RBC-TI ≥ 168 days was achieved in 17.5% and 0% of pts in the LEN and PBO groups, respectively. The incidence of AML progression (per 100 person-years) was 1.91 (95% CI 0.80–4.59) and 2.46 (95% CI 0.79–7.64) for LEN and PBO pts, respectively, with median follow-up 1.6 and 1.3 years. Death on treatment occurred in 2.5% of pts on either LEN or PBO. The follow-up period was insufficient to permit OS comparison between the 2 groups. Myelosuppression was the main adverse event (AE); in the LEN versus PBO groups, respectively, grade 3–4 neutropenia occurred in 61.9% versus 11.4% of pts, and grade 3–4 thrombocytopenia in 35.6% versus 3.8% of pts. Discontinuations due to AEs were reported in 31.9% LEN and 11.4% PBO pts; among the 51 LEN pts who discontinued due to AEs, 14 discontinuations were due to thrombocytopenia and 8 due to neutropenia. In the subset of pts evaluated for the Ebert signature (n = 203), the predictive power of the signature was not confirmed. Conclusions: LEN therapy was associated with a significant achievement of RBC-TI ≥ 56 days in 26.9% of pts with a median duration of RBC-TI of 8.2 months; 90% of pts responded within 16 weeks of treatment. These data were consistent with response rates seen in the MDS-002 trial. The overall safety profile was consistent with the known safety profile of LEN and these data suggest LEN can be safely and effectively used in this patient population. Figure 1 Figure 1. Disclosures Santini: Celgene Corporation: Honoraria; Janssen: Honoraria; Novartis: Honoraria; Glaxo Smith Kline: Honoraria. Off Label Use: Trial of Lenalidomide in non-del5q MDS. Almeida:Celgene Corporation: Consultancy, Speakers Bureau. Giagounidis:Celgene Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Vey:Celgene: Honoraria. Mufti:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Buckstein:Celgene: Research Funding. Mittelman:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Platzbecker:Celgene: Research Funding. Shpilberg:Celgene Corporation: Consultancy, Honoraria. del Canizo:Celgene Corporation: Consultancy, Research Funding. Gattermann:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Ozawa:Celgene: Consultancy, not specified Other. Zhong:Celgene: Employment, Equity Ownership. Séguy:Celgene: Employment, Equity Ownership. Hoenekopp:Celgene: Employment, Equity Ownership. Beach:Celgene: Employment, Equity Ownership. Fenaux:Novartis: Research Funding; Janssen: Research Funding; Celgene: 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)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,019
Tête enseignante GPT0,305
Écart entre enseignants0,286 · 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'étudeEssai randomisé
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

Citations15
Publié2014
Routes d'admission1
Résumé présentoui

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