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Record 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 on 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

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineInternal medicinePopulationBone marrowErythropoiesisAllele frequencyGastroenterologyOncologyAnemiaGeneAlleleBiologyGenetics

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.209
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2019
Admission routes1
Has abstractyes

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