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Efficacy and Safety of Dose-Optimized Nilotinib (NIL) in Patients (Pts) with Newly Diagnosed Chronic Myeloid Leukemia in Chronic Phase (CML-CP): ENESTxtnd Interim Analysis

2014· article· en· W2345491145 on OpenAlexaffabout
Timothy P. Hughes, Eduardo Munhoz, Alaa Elhaddad, Ong Tee Chuan, Abdulkadyrov Km, Jake Shortt, Hang Quach, Carolina Pavlovsky, Vernon Louw, Luis Meillón, Lee‐Yung Shih, Anna Turkina, Jonathan Hwang, Prasanna Kumar Nidamarthy, Darshan Dalal, Jeffrey H. Lipton

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineNilotinibInternal medicineInterim analysisAdverse effectClinical endpointAnemiaMyeloid leukemiaClinical trialImatinib

Abstract

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Abstract Background: In pts with newly diagnosed CML-CP, NIL 300 mg twice daily (BID) is generally well tolerated and results in high rates of molecular response and low rates of disease progression. The kinetics of molecular response achieved with NIL, as assessed by local laboratories, and the potential for NIL dose optimization are being investigated in Evaluating Nilotinib Efficacy and Safety in Clinical Trials—Extending Molecular Reponses (ENESTxtnd). Here, we present results from a preplanned interim analysis of ENESTxtnd based on the first 50% of pts who completed 12 mo of treatment or discontinued early. Methods: Adults from 18 countries (Algeria, Argentina, Australia, Brazil, Canada, Egypt, India, Israel, Lebanon, Malaysia, Mexico, Oman, Russia, Saudi Arabia, South Africa, Taiwan, Thailand, and Tunisia) within 6 mo of diagnosis with Philadelphia chromosome–positive (Ph+) or Ph-negative CML-CP were enrolled. Initial treatment for all pts was NIL 300 mg BID. Molecular responses were assessed at local laboratories. The primary endpoint was rate of major molecular response (MMR; BCR-ABL ≤ 0.1% on the International Scale [IS]) by 12 mo. NIL dose escalation to 400 mg BID was recommended for pts with BCR-ABLIS > 10% at 3 mo or later, lack of MMR at 12 mo, loss of MMR, or treatment failure. Dose reduction to NIL 450 mg once daily was recommended for grade 2-4 nonhematologic adverse events (AEs) and grade 3/4 hematologic AEs other than anemia. In pts with dose reduction due to AEs, dose reescalation was recommended (successful reescalation: ≥ 4 wk of treatment with NIL 300 mg BID with no dose adjustments for any AE). Results: Among 211 pts included in this analysis, median age was 49 y (range, 18-86 y) and median time from diagnosis to enrollment was 30 d (range, 0-170 d); 110 pts (52.1%) were male. Previous CML therapies included hydroxyurea (n = 153), imatinib (≤ 2 wk; n = 9), anagrelide (n = 4), interferon (n = 1), and other therapies (n = 3). By the data cutoff (March 5, 2013), 38 pts (18.0%) discontinued treatment (due to AEs [n = 19], loss to follow-up [n = 4], protocol deviation [n = 2], administrative problems [n = 2], withdrawal of consent [n = 1], disease progression [n = 1], death [n = 1; raised intracranial pressure; pt had a cerebrovascular accident before study entry], or other reasons [n = 8]). Median time on study treatment was 13.8 mo (range, 0-22 mo). Overall, 63 pts (29.9%) had a dose reduction, and 47 attempted to reescalate to 300 mg BID; among these, 37 (78.7%) successfully reescalated. Twenty-eight pts (13.3%) dose-escalated to NIL 400 mg BID due to lack of efficacy, including 10 of 15 pts with BCR-ABLIS > 10% at 3 mo. After dose escalation, 6 pts had dose interruptions due to AEs. Of pts who dose-escalated due to suboptimal response or treatment failure, 4 later discontinued due to suboptimal response (BCR-ABLIS > 1% at 6 mo [n = 1]; no MMR at 12 mo [n = 1]) or treatment failure (Ph+ > 35% at 12 mo [n = 2]). Among all pts, median actual dose intensity was 600 mg/d (range, 165-759 mg/d). By 12 mo, 152 pts achieved MMR in IS-standardized assessments and 1 additional pt achieved MMR in a non-IS assessment, for a total MMR rate by 12 mo of 72.5% (99.52% CI, 63.1%-80.7%). Among pts with a dose reduction, 42 of 63 (66.7%) achieved MMR by 12 mo; among those who attempted to reescalate to NIL 300 mg BID, 30 of 37 pts (81.1%) with successful reescalation and 4 of 10 pts (40.0%) without successful reescalation achieved MMR by 12 mo. Among pts with dose escalation to NIL 400 mg BID due to lack of efficacy, 6 of 28 (21.4%) achieved MMR by 12 mo. Median BCR-ABLIS levels decreased over time (Figure), with a median value of 0.03% (range, 0.00%-177.18%) at 12 mo. Most pts (n = 120; 56.9%) achieved complete cytogenetic response by 6 mo. Drug-related nonhematologic AEs of any grade reported in ≥ 10% of pts were rash (17.5%), headache (11.4%), nausea (10.9%), and pruritus (10.4%). New or worsening grade 3/4 laboratory abnormalities reported in ≥ 10% of pts were elevated blood lipase (13.3%), thrombocytopenia (13.3%), and neutropenia (12.8%). One pt died > 28 d after the last dose of study treatment due to acute myeloid leukemia. Conclusion: Dose-optimized NIL was well tolerated and resulted in rapid achievement of MMR in most pts. Among pts with lack of efficacy on NIL 300 mg BID, some achieved MMR after dose escalation to NIL 400 mg BID. Most pts with temporary NIL dose reductions due to AEs who attempted to dose-reescalate were able to successfully resume treatment with NIL 300 mg BID. Figure 1 Figure 1. Disclosures Hughes: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Shortt:Novartis: Attendance at CML expert forum, Travel sponsorship (conference attendance). Other, Honoraria; BMS: Honoraria, Travel sponsorship (conference attendance)., Travel sponsorship (conference attendance). Other. Quach:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Pavlovsky:Novartis: Speakers Bureau; BMS: Speakers Bureau. Louw:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Meillon:Bayer: Honoraria, Speakers Bureau; Pfizer/BMS: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau. Shih:Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding. Turkina:Novartis: Consultancy, Honoraria; BMS: Consultancy, Honoraria. Hwang:Novartis: Employment. Nidamarthy:Novartis Healthcare Pvt. Ltd. India: Employment. Dalal:Novartis: Employment. Lipton:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Teva: Consultancy, Research Funding.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.002
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 science0.0010.001
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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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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Citations1
Published2014
Admission routes2
Has abstractyes

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