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Record W2907997089 · doi:10.1182/blood-2018-99-110439

Efficacy and Safety of Single-Agent Quizartinib (Q), a Potent and Selective FLT3 Inhibitor (FLT3i), in Patients (pts) with FLT3-Internal Tandem Duplication (FLT3-ITD)-Mutated Relapsed/Refractory (R/R) Acute Myeloid Leukemia (AML) Enrolled in the Global, Phase 3, Randomized Controlled Quantum-R Trial

2018· article· en· W2907997089 on OpenAlexaff
Jörge E. Cortes, Samer K. Khaled, Giovanni Martinelli, Alexander E. Perl, Siddhartha Ganguly, Nigel H. Russell, Alwin Krämer, Hervé Dombret, Donna E. Hogge, Brian A. Jonas, Anskar Y.H. Leung, Priyanka Mehta, Pau Montesinos, Markus P. Radsak, Simona Sica, Meena Arunachalam, Melissa F. Holmes, Ken Kobayashi, Ruth Namuyinga, Nanxiang Ge, Antoine Yver, Yufen Zhang, Mark J. Levis

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsRefractory (planetary science)MedicinePharmacologyCancer researchBiology

Abstract

fetched live from OpenAlex

Abstract Introduction: FLT3-ITD mutations are among the most common molecular abnormalities in AML, occurring in ≈ 25% of pts. These driver mutations are associated with high leukemic burden and poor prognosis, eg, high risk of relapse, decreased response to salvage therapy, and shorter overall survival (OS). Pts with R/R FLT3-ITD AML have a worse prognosis and represent a population with high unmet medical need. Q is a once-daily, oral, highly potent and selective FLT3i shown in phase 2 trials to have promising single-agent antileukemic activity and a manageable safety profile. QuANTUM-R was the first global, phase 3, randomized controlled trial (NCT02039726) to show that an FLT3i prolonged OS compared with salvage chemotherapy (SC) in pts with R/R FLT3-ITD AML. Final efficacy and safety data from this pivotal phase 3 trial are reported. Methods: Pts aged ≥ 18 years with FLT3-ITD AML refractory to or relapsed (duration of first remission ≤ 6 mo) after standard AML therapy, w/wo hematopoietic stem cell transplant (HSCT) were randomized 2:1 to receive Q (60 mg [30-mg lead-in]) or 1 of 3 preselected investigator's choice (IC) SC: low-dose cytarabine (LoDAC); mitoxantrone, etoposide, and intermediate-dose cytarabine (MEC); or fludarabine, cytarabine, and granulocyte-colony stimulating factor (G-CSF) with idarubicin (FLAG-IDA). Up to 2 cycles of MEC or FLAG-IDA were permitted; Q and LoDAC were given until lack of benefit, unacceptable toxicity, or HSCT. Prior therapy with midostaurin was allowed, but all other FLT3i were not. Pts receiving HSCT in the Q arm could resume Q after HSCT. Primary and secondary endpoints were OS and event-free survival (EFS), respectively. Sensitivity analyses for OS and EFS were conducted: (1) using the per-protocol set (randomized and treated patients without major protocol deviations), (2) censoring at HSCT, (3) censoring at the use of other postbaseline FLT3i (for OS only). Predefined subgroup analyses of OS were also performed. Exploratory endpoints included response rates, duration of CRc, and transplant rate. Results: 367 pts were randomized; 245 to Q and 122 to IC SC (LoDAC, n=29; MEC, n=40; FLAG-IDA, n=53). Four pts randomized to Q and 28 pts randomized to SC did not receive therapy. Median follow-up was 23.5 mo. Six pts were still on initial Q treatment at data cutoff vs 0 in the SC arm. Treatment groups were well balanced for baseline characteristics, including age, response to prior therapy, transplant history, and FLT3-ITD allelic burden. OS hazard ratio (HR) of Q relative to SC was 0.76 (95% CI, 0.58-0.98; stratified log-rank test, 1-sided P=0.0177). Median OS was 6.2 (95% CI, 5.3-7.2) vs 4.7 (95% CI, 4.0-5.5) mo, with an estimated 12-mo OS probability of 27% vs 20% in Q and SC arms, respectively. EFS HR was 0.90 (95% CI, 0.70-1.16; stratified log-rank test, 1-sided P=0.1071); median EFS was 6.0 (95% CI, 0.1-8.3) vs 3.7 (95% CI, 0.4-5.9) wk, respectively. Sensitivity analyses of OS and EFS all supported benefit of quizartinib compared with SC, as did OS analyses across subgroups, including varying allelic ratio, prior HSCT, AML risk score, and response to prior therapy (Tables 1 and 2, Figure). CRc was 48% (95% CI, 42%-55%) and 27% (95% CI, 19%-36%) in Q and SC arms (nominal P=0.0001), respectively. Duration of CRc was 12.1 (95% CI, 10.4-27.1) vs 5.0 (95% CI, 3.3-12.6) wk. Transplant rate was 32% and 12% in Q and SC arms (nominal P<0.0001), respectively; of 79 eligible pts, 49 (62%) resumed single-agent Q after HSCT (15 ongoing Q treatment at data cutoff). Median duration of post-HSCT Q was 129 d. Rates of treatment-emergent adverse events (TEAEs) were comparable between the 2 arms, despite higher total drug exposure in Q vs SC arms (101.9 vs 3.7 patient-years [pt-y], respectively). Exposure-adjusted TEAEs were 2.3 vs 25.2 per pt-y, respectively. Most common grade ≥ 3 TEAEs in both arms were infections and those associated with cytopenia. Only 2 pts discontinued Q due to QTcF prolongation. QTcF >500 ms (grade 3) by central laboratory was 3% in the Q arm; no grade 4 QTcF occurred. Q-treated pts post-HSCT had a similar AE profile to those overall. Conclusions: This report confirms the survival benefit observed with single-agent Q compared with SC in pts with R/R FLT3-ITD AML and the favorable Q safety profile, providing evidence of meaningful clinical benefit in pts who have few options. These results are paradigm changing in the R/R FLT3-ITD AML treatment setting. Disclosures Cortes: Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Astellas Pharma: Consultancy, Research Funding; Arog: Research Funding. Khaled:Juno: Other: Travel Funding; Daiichi: Consultancy; Alexion: Consultancy, Speakers Bureau. Perl:Arog: Consultancy; Pfizer: Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy; NewLink Genetics: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Ganguly:Amgen: Consultancy; Janssen: Consultancy; Daiichi Sankyo: Research Funding; Seattle Genetics: Speakers Bureau. Russell:Daiichi Sankyo: Consultancy; Jazz Pharma: Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau. Kramer:Daiichi Sankyo: Consultancy; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Research Funding. Dombret:Daiichi Sankyo: Honoraria; Roche/Genentech: Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria; Ariad: Honoraria, Research Funding; Novartis: Honoraria; Celgene: Consultancy, Honoraria; Jazz Pharma: Honoraria, Research Funding; Agios: Honoraria; Sunesis: Honoraria; Karyopharm: Honoraria; Kite Pharma: Honoraria, Research Funding; Menarini: Honoraria; Astellas: Honoraria; Janssen: Honoraria; Servier: Honoraria; Seattle Genetics: Honoraria. Jonas:Accelerated Medical Diagnostics: Research Funding; Incyte: Research Funding; Esanex: Research Funding; LP Therapeutics: Research Funding; AbbVie: Consultancy, Research Funding; Daiichi Sankyo: Research Funding; Kalobios: Research Funding; Pharmacyclics: Research Funding; Celgene: Consultancy, Research Funding; Genentech/Roche: Research Funding; Glycomimetics: Research Funding; Tolero: Consultancy; Amgen: Consultancy; Forma: Research Funding. Leung:Novartis: Speakers Bureau; Daiichi: Research Funding. Mehta:Daiichi Sankyo: Honoraria. Montesinos:Daiichi Sankyo: Consultancy, Speakers Bureau; Novartis: Research Funding, Speakers Bureau. Radsak:Novartis: Consultancy, Honoraria; Jazz Pharmaceuticals: Other: Travel grant; TEVA: Consultancy; Daiichi Sankyo: Honoraria, Other: Travel grant; Gilead: Other: Travel grant; Celgene: Honoraria, Other: Travel grant; Takeda: Consultancy. Arunachalam:Daiichi Sankyo: Employment. Holmes:Daiichi Sankyo: Employment. Kobayashi:Daiichi Sankyo: Employment. Namuyinga:Daiichi Sankyo: Employment. Ge:Daiichi Sankyo: Employment. Yver:Daiichi Sankyo: Employment. Zhang:Daiichi Sankyo: Employment.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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.

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".

Quick stats

Citations36
Published2018
Admission routes1
Has abstractyes

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