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Enregistrement W2986822804 · doi:10.1182/blood-2019-123655

Luspatercept Significantly Reduces Red Blood Cell (RBC) Transfusion Burden, Regardless of Gene Mutation Frequency, Spectrum, and Prognostic Significance, Among Patients (Pts) with LR-MDS Enrolled in the MEDALIST Trial

2019· article· en· W2986822804 sur OpenAlexaff
Uwe Platzbecker, Diana Dunshee, Rami S. Komrokji, Ghulam J. Mufti, Guillermo Garcia‐Manero, Rena Buckstein, Valeria Santini, María Díez‐Campelo, Mikkael A. Sekeres, Wendy L. See, Kevin Tsai, Alberto Risueño, Jianglin Ma, Martin Schwickart, Anita Rampersad, Jennie Zhang, Abderrahmane Laadem, Daniel Carvalho de Menezes, Kyle J. MacBeth, Peter G. Linde, Joseph G. Reynolds, Alan F. List, Pierre Fenaux

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueErythrocyte Function and Pathophysiology
Établissements canadiensHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicinePopulationBone marrowErythropoiesisAllele frequencyGastroenterologyOncologyAnemiaGeneAlleleBiologyGenetics

Résumé

récupéré en direct d'OpenAlex

Background: Luspatercept is a first-in-class erythroid maturation agent that binds TGF-β superfamily ligands to reduce aberrant Smad2/3 signaling and enhance late-stage erythropoiesis. The phase 3 MEDALIST trial evaluated luspatercept in pts with RBC transfusion-dependent, IPSS-R-defined very low-, low-, and intermediate-risk MDS with ring sideroblasts (RS+) who were refractory, intolerant, or ineligible to receive erythropoiesis-stimulating agents. This study explored associations of gene mutations, as analyzed by next-generation sequencing (NGS), with response to luspatercept, as well as dynamics of gene mutations on therapy in MEDALIST pts. Methods: DNA was isolated from bone marrow (BM) mononuclear cells from 222 of 229 pts enrolled in the study (148 luspatercept, 74 placebo) at screening and, when available, following treatment. NGS of 23 MDS-relevant genes was performed at screening and every 24 weeks; mean coverage was 1,000-fold and the variant allele frequency (VAF) cutoff was ≥ 1%. BM cell populations were analyzed by cytomorphology. Response criterion of RBC transfusion independence (RBC-TI) of ≥ 8 weeks within the first 24 weeks of treatment was used for correlative analyses. Results: Mutations in SF3B1 were found in 91.0% of pts analyzed at screening (median VAF 42%, range 6-71%), consistent with the study population being RS+. Overall, a median of 2 (range 0-5) of the 23 MDS-relevant genes analyzed were mutated per pt. In addition to SF3B1, the most frequently mutated genes were TET2 (41.9%), DNMT3A (18.9%), ASXL1 (13.1%), and SRSF2 (8.1%). Mutation profiles were similar to those found in previous studies of refractory anemia with RS (RARS; Malcovati L, et al. Blood. 2015;126:233-41) and balanced between luspatercept and placebo arms. Numbers of mutated genes at baseline were distributed similarly in luspatercept responders (R) and non-responders (NR) (Figure A), and comparable response rates were achieved irrespective of number of mutations, with response rates of 36.4%, 34.9%, 42.4%, and 33.3% for pts with 1 mutation, 2 mutations, 3 mutations, and 4 or 5 mutations in the 23 MDS-relevant genes analyzed, respectively. Response to luspatercept was independent of the presence of mutations in any of the genes analyzed individually (Figure B) or when grouped by functional categories (e.g. spliceosome, epigenetic regulation, transcription factor, etc.) (Figure C). Circos plots of co-occurring mutations showed similar mutation profiles in R and NR (Figure D). Response rates were also similar regardless of baseline SF3B1 allelic burden (R: 43%, NR: 42%; P = 0.11). At baseline, BM erythroid precursors were higher in R (R: 32.8%, NR: 26%; P = 0.008; while R and NR had similar levels of RS+ cells [R: 80%, NR: 84%; P = 0.25], Figure E), consistent with the postulated activity of luspatercept on the erythroid lineage. When comparing the frequency of mutation changes in luspatercept- vs placebo-treated pts at week 24 of the study, no statistically significant differences were observed in the frequency of newly acquired mutations (13/126 [10.3%] pts in luspatercept vs 8/64 [12.5%] pts in placebo, P = 0.63) or mutation losses (4/126 [3.2%] in luspatercept vs 5/64 [7.8%] in placebo, P = 0.17). Evaluation of changes in allele burden (median VAF at week 24 vs baseline) for mutations in genes associated with adverse prognosis (ASXL1, SRSF2, U2AF1, NRAS, IDH2, GATA2, TP53, RUNX1, and EZH2; Bejar R. Curr Opin Hematol. 2017;24:73-8) showed no change between luspatercept- or placebo-treated pts (1.01-fold, n = 58 and 0.95-fold, n = 19, respectively, P = 0.69). Conclusions: Pts enrolled in the MEDALIST study had mutations consistent with RS+, lower-risk MDS with a preponderance of SF3B1 mutations; genes associated with poor prognosis (and other genes) were balanced between study arms. RBC-TI responses with luspatercept were achieved regardless of SF3B1 allelic burden, number of baseline mutations, and presence of individual mutations, including adverse mutations, or co-mutations. Disclosures Platzbecker: Abbvie: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Dunshee:Celgene Corporation: Employment, Equity Ownership. Komrokji:DSI: Consultancy; pfizer: Consultancy; Agios: Consultancy; JAZZ: Consultancy; Novartis: Speakers Bureau; Incyte: Consultancy; celgene: Consultancy; JAZZ: Speakers Bureau. Mufti:Cellectis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Garcia-Manero:Celgene: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding; Amphivena: Consultancy, Research Funding; Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding. Buckstein:Celgene: Consultancy, Honoraria, Research Funding; Takeda: Research Funding. Santini:Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Honoraria; Acceleron: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Menarini: Membership on an entity's Board of Directors or advisory committees. Díez-Campelo:Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sekeres:Millenium: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. See:Celgene Corporation: Other: Contractor. Tsai:Celgene Corporation: Employment. Risueño:Celgene Corporation: Employment, Equity Ownership, Patents & Royalties: Named in Celgene patent filings related to predictive patient response biomarkers in hematological malignancies. Ma:Celgene Corporation: Employment, Equity Ownership. Schwickart:Celgene Corporation: Employment, Equity Ownership. Rampersad:Celgene Corp: Employment, Equity Ownership. Zhang:Celgene Corporation: Employment, Equity Ownership. Laadem:Celgene Corporation: Employment, Equity Ownership. Menezes:Celgene Corporation: Employment, Equity Ownership. MacBeth:Celgene Corporation: Employment, Equity Ownership. Linde:Acceleron Pharma: Employment, Equity Ownership; Abbott Laboratories, Inc.: Equity Ownership; Fibrogen, Inc.: Equity Ownership. Reynolds:Acceleron Pharma: Employment, Equity Ownership. List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Fenaux:Celgene Corporation: Honoraria, Research Funding; Astex: Honoraria, Research Funding; Jazz: Honoraria, Research Funding; Aprea: Research Funding. OffLabel Disclosure: Luspatercept is an investigational therapy that is not approved for any use in any country. Luspatercept is currently being evaluated for potential use in patients with anemia due to myelodysplastic syndromes, beta-thalassemia, or myelofibrosis.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,467
Score d'incertitude au seuil0,677

Scores Codex et Gemma par catégorie

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

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 Opus0,008
Tête enseignante GPT0,209
Écart entre enseignants0,201 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations4
Publié2019
Routes d'admission1
Résumé présentoui

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