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Record W2909182124 · doi:10.1182/blood-2018-99-111514

Efficacy and Safety of CPX-351 Versus 7+3 in a Subgroup of Older Patients with Newly Diagnosed Acute Myeloid Leukemia with Myelodysplasia-Related Changes (AML-MRC) Enrolled in a Phase 3 Study

2018· article· en· W2909182124 on OpenAlexaff
Daniel H. Ryan, Geoffrey L. Uy, Jörge E. Cortes, Laura F. Newell, Ellen K. Ritchie, Robert K. Stuart, Stephen A. Strickland, Donna E. Hogge, Scott R. Solomon, Richard M. Stone, Dale L. Bixby, Jonathan E. Kolitz, Gary J. Schiller, Matthew J. Wieduwilt, Robert J. Ryan, Michael Chiarella, Arthur C. Louie, Jeffrey E. Lancet

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsLeukemia & Lymphoma Society of Canada
Fundersnot available
KeywordsMedicineInternal medicineCytarabineChemotherapy regimenOncologyMyelodysplastic syndromesDecitabineRegimenGastroenterologyLeukemiaChemotherapyBone marrow

Abstract

fetched live from OpenAlex

Abstract Background: CPX-351 (Vyxeos®) is a dual-drug liposomal encapsulation of cytarabine and daunorubicin at a synergistic ratio. In a large randomized, open-label, multicenter, phase 3 study (NCT01696084) of CPX-351 versus conventional cytarabine/daunorubicin chemotherapy (7+3 regimen) in patients (pts) aged 60-75 years with newly diagnosed, high-risk/secondary AML, CPX-351 significantly improved overall survival (OS) and remission rates (Lancet JE, et al. J Clin Oncol. 2018). CPX-351 was approved by the US FDA in 2017 for the treatment of adults with newly diagnosed therapy-related AML or AML-MRC and is currently under review by the EMA. The WHO 2016 AML-MRC designation applies to AML pts who meet any of the following criteria: 1) a history of myelodysplastic syndrome (MDS) or myelodysplastic/myeloproliferative neoplasm (MDS/MPN), 2) an MDS-related cytogenetic abnormality, or 3) multilineage dysplasia in >50% of ≥2 cell lineages in the absence of NPM1 or biallelic CEBPA mutations. Pts with AML-MRC typically face a poor prognosis, with inferior outcomes in response to standard induction chemotherapy. A subgroup analysis of the phase 3 study was performed to specifically compare the efficacy and safety of CPX-351 versus 7+3 in pts with AML-MRC. Methods: Pts enrolled in the phase 3 study who met the WHO 2008 AML-MRC classification were included in this subgroup analysis; however, pts with a history of MPN other than CMML or combined MDS/MPN and pts with only morphologic evidence of multilineage dysplasia were excluded from the phase 3 study. Pts were randomized 1:1 to receive up to 2 inductions with CPX-351 (100 units/m2 [cytarabine 100 mg/m2 + daunorubicin 44 mg/m2] on Days 1, 3, and 5 [2nd induction: Days 1 and 3]) or 7+3 (cytarabine 100 mg/m2/day continuously for 7 days [2nd induction: 5 days] + daunorubicin 60 mg/m2 on Days 1-3 [2nd induction: Days 1-2]). Pts achieving complete remission (CR) or CR with incomplete platelet or neutrophil recovery (CRi) could receive up to 2 consolidations with CPX-351 (65 units/m2 [cytarabine 65 mg/m2 + daunorubicin 29 mg/m2] on Days 1 and 3) or 5+2 (as in 2nd induction). Pts could receive hematopoietic cell transplantation (HCT) at the discretion of their treating physician. Results: The study enrolled 309 pts, 246 of whom met the criteria for AML-MRC (CPX-351: n = 123; 7+3: n = 123). Of these 246 pts, 59.0% had antecedent MDS, 9.3% had antecedent CMML, and 31.7% had de novo AML with MDS karyotype. Baseline characteristics were similar between treatment arms (median age 68 years; 64.6% male; 11.0% with ECOG status of 2). A second induction cycle was received by 33.3% of pts in the CPX-351 arm and 37.8% of pts in the 7+3 arm. Among pts with AML-MRC, CPX-351 was associated with a significant OS benefit versus 7+3 (median: 9.07 vs 5.95 months; HR = 0.70 [95% CI: 0.53-0.93]). CPX-351 was also associated with higher rates of CR+CRi (48.0% vs 32.5%; OR = 1.83 [95% CI: 1.09-3.09]), CR (37.4% vs 24.4%; OR = 1.80 [95% CI: 1.02-3.17]), and HCT (33.3% vs 24.4%; OR = 1.53 [95% CI: 0.86-2.74]). Among pts who received HCT, median OS was longer with CPX-351 versus 7+3 when calculated from the date of randomization (not reached vs 15.21 months; HR = 0.50 [95% CI: 0.26-0.99]) or date of HCT (not reached vs 10.68 months; HR = 0.48 [95% CI: 0.24-0.96]). Early mortality rates in the CPX-351 and 7+3 arms, respectively, were 4.9% and 8.9% at Day 30 and 13.8% and 20.3% at Day 60. The treatment-emergent adverse event (TEAE) profile of CPX-351 in pts with AML-MRC was consistent with the overall study population and generally comparable between treatment arms (Table). Two pts treated with CPX-351 and 1 treated with 7+3 discontinued treatment due to a TEAE (cardiac failure [CPX-351], cardiomyopathy [CPX-351], and ejection fraction decreased [7+3]). Grade 5 TEAEs occurred in 8.9% and 14.3% of pts treated with CPX-351 and 7+3, respectively; those occurring in >1 pt in a treatment arm included sepsis (2.4% and 0.8%), disease progression (1.6% and 3.4%), multi-organ failure (0.8% and 1.7%), and respiratory failure (0.8% and 1.7%). Conclusions: In this subgroup analysis, CPX-351 improved OS and remission rates compared with 7+3 in older adults with AML-MRC, while maintaining a similar safety profile. Importantly, CPX-351 is the first agent to be associated with prolonged OS compared with standard-of-care chemotherapy (7+3 regimen) in adults with newly diagnosed AML-MRC, which supported FDA approval in this population. Disclosures Ryan: AbbVie: Equity Ownership; University of Rochester: Patents & Royalties. Uy:Curis: Consultancy; GlycoMimetics: Consultancy. Cortes:Astellas Pharma: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Arog: Research Funding; Pfizer: Consultancy, Research Funding. Ritchie:Bristol-Myers Squibb: Research Funding; Incyte: Consultancy, Speakers Bureau; NS Pharma: Research Funding; Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Astellas Pharma: Research Funding; Celgene: Consultancy, Other: Travel, Accommodations, Expenses, Speakers Bureau; Pfizer: Consultancy, Research Funding; ARIAD Pharmaceuticals: Speakers Bureau. Stuart:Sunesis Pharmaceuticals: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding; Agios: Research Funding; Astellas: Research Funding; Bayer AG: Research Funding; Celator/Jazz Pharmaceuticals: Research Funding; Incyte: Research Funding. Strickland:Sunesis Pharmaceuticals: Consultancy, Research Funding; Tolero Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Baxalta: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas Pharma: Consultancy. Bixby:GlycoMimetics: Research Funding. Kolitz:Magellan Health: Consultancy, Honoraria. Schiller:bluebird bio: Research Funding; Astellas Pharma: Membership on an entity's Board of Directors or advisory committees, Research Funding. Wieduwilt:Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Shire: Research Funding; Reata Pharmaceuticals: Equity Ownership; Leadiant: Research Funding; Amgen: Research Funding; Merck: Research Funding. Ryan:Jazz Pharmaceuticals: Employment, Other: Stock and stock options. Chiarella:Celator/Jazz Pharmaceuticals: Employment, Equity Ownership. Louie:Celator/Jazz Pharmaceuticals: Employment, Equity Ownership, Patents & Royalties.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.276
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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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Citations9
Published2018
Admission routes1
Has abstractyes

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