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Enregistrement W2980063723 · doi:10.1182/blood.v122.21.394.394

Phase 3 Study Of Pomalidomide In Myeloproliferative Neoplasm (MPN)-Associated Myelofibrosis With RBC-Transfusion-Dependence

2013· article· en· W2980063723 sur OpenAlexaff
Ayalew Tefferi, Francesco Passamonti, Tiziano Barbui, Giovanni Barosi, Kebede H. Begna, Mario Cazzola, Francisco Cervantes, Konstanze Döhner, Heinz Gisslinger, Vikas Gupta, Wang Li, Claire Harrison, Jean‐Jacques Kiladjian, Mary Frances McMullin, Alessandro Rambaldi, Gary J. Schiller, Alessandro M. Vannucchi, Ruben A. Mesa

Notice bibliographique

RevueBlood · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésPomalidomideMyelofibrosisMedicineInternal medicineRandomizationPlaceboAnemiaGastroenterologyClinical endpointSurgeryRandomized controlled trialBone marrowThalidomidePathologyMultiple myeloma

Résumé

récupéré en direct d'OpenAlex

Abstract Background Severe anemia with RBC-transfusion-dependence is common in persons with advanced MPN-associated myelofibrosis. Pomalidomide, an immune-modulating drug with pleiotrophic bone marrow effects, improved anemia in several phase 2 studies. Method Phase 3 double-blind, placebo-controlled trial of pomalidomide (0.5 mg/d) in subjects with MPN-associated myelofibrosis and RBC-transfusion-dependence. The primary endpoint was RBC-transfusion-independence. Criteria for RBC-transfusion-dependence and -independence were based on results of an expert consensus panel RAND-Delphi study. Subjects 252 subjects were randomized 2:1 to receive pomalidomide or placebo with stratifications for age, type of myelofibrosis, and intensity of RBC-transfusions. Median age was 70 y. 75% had primary myelofibrosis. Median units (U) RBC-transfusions/28 d pre-randomization was 3 (range, 2-13). Results Response rates in the cohorts were similar (16% [95% CI, 11-23%] vs 16% [8-26%]), as were response durations. However, median time to response for pomalidomide was 7 w (range, 0-20 w) vs only 2 w (range, 0-15 w) for placebo (p=0.22). Response in both cohorts was more common in subjects with ≤4 vs >4 U RBC/28 d pre-randomization (OR=3.1 [p=0.09] and OR=8.6 [p=0.06]). However, other variables associated with response to pomalidomide: age ≤65 vs >65 y (OR=2.4; p=0.07) and primary myelofibrosis vs other (OR=2.6; p=0.14) and response to placebo: (WBC >25 vs ≤25 x10E9/L; OR=5.0; p=0.08) and interval from diagnosis to randomization >2 vs ≤2 y (OR=5.0; p=0.04) differed. These differences would not be expected were response to pomalidomide identical to response to placebo. Also, a center effect was found in placebo but not pomalidomide responders, which persisted after adjusting for predictive associations. Several pomalidomide responders lost response when therapy was stopped but regained it when pomalidomide was re-started. No pre-randomization therapy (iron-chelation, hydroxyurea, busulfan, folate) was consistently correlated with response to placebo, and durations of RBC-transfusion-dependence pre-randomization were similar between the cohorts. In contrast, platelet response rates, a 2̍° endpoint, were significantly different between the cohorts: pomalidomide, 22% (95% CI, 11-35%) vsplacebo, 0 (0-12%; p=0.006). Platelet response was not correlated with RBC-transfusion-independence response. Conclusion There was no significant difference in rate or duration of RBC-transfusion-independence response to pomalidomide vsplacebo despite using what were thought to be sensitive and specific entry- and response-criteria. Unexpectedly, however, most variables associated with response to pomalidomide and placebo differed between the cohorts, as did distribution of times to response. These data suggest responses to pomalidomide and placebo differ but were not distinguished by our response-criteria. Pomalidomide appears to reverse RBC transfusion dependence in some persons with MPN associated MF. However, additional research designs are needed to study this impression. This abstract is presented on behalf of all RESUME Investigators. Study registration: NCT01178281. Disclosures: Cervantes: Novartis: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity’s Board of Directors or advisory committees; Sanofi: Membership on an entity’s Board of Directors or advisory committees; Celgene: Membership on an entity’s Board of Directors or advisory committees. Gisslinger:AOP Orphan Pharmaceuticals: Advisory Board Meeting Other, Honoraria; Novartis: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria; Sanofi-Aventis: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria; Shire: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria; Celgene: Advisory Board Meeting Other, Honoraria; Janssen: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria. Gupta:Incyte Corporation: Consultancy, Grant support through institution Other; Novartis: Consultancy, Grant support through institution, Grant support through institution Other, Honoraria. Harrison:SBio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Shire: Speakers Bureau; Celgene: Honoraria; YM Bioscience: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Kiladjian:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees; AOP Orphan: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding. Schiller:Celgene: Research Funding. Mesa:Gilead: Research Funding; Incyte: Research Funding; NS Pharma: Research Funding; Lilly: Research Funding; Genentech: 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)0,002
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 enseignants0,004
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,013
Tête enseignante GPT0,266
Écart entre enseignants0,253 · 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

Citations27
Publié2013
Routes d'admission1
Résumé présentoui

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