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Record W3095006759 · doi:10.1182/blood-2020-135883

Outcome By Mutation Status and Line of Treatment in Optic, a Dose-Ranging Study of 3 Starting Doses of Ponatinib in Patients with CP-CML

2020· article· en· W3095006759 on OpenAlexaff
Jörge E. Cortes, Jane F. Apperley, Andreas Hochhaus, Michael J. Mauro, Philippe Rousselot, Tomasz Sacha, Moshe Talpaz, Charles Chuah, Jeffrey H. Lipton, Michael W. Deininger, Charles A. Schiffer, Lori J. Maness, James McCloskey, Valentín García‐Gutiérrez, Hugues de Lavallade, Gabriel Étienne, Vickie Lu, Shouryadeep Srivastava, Gianantonio Rosti

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsPonatinibMedicineMaximum tolerated doseInternal medicineOncologyDasatinibAdverse effectImatinibMyeloid leukemia

Abstract

fetched live from OpenAlex

Introduction: In PACE (NCT01207440), patients with refractory chronic-phase chronic myeloid leukemia (CP-CML) with substantial prior second-generation tyrosine kinase inhibitor (TKI) treatment demonstrated deep, lasting responses to ponatinib. However, long-term follow-up identified rates of arterial occlusive events (AOEs) as a risk. OPTIC (NCT02467270) is a randomized Phase 2 trial evaluating ponatinib at 3 starting doses: 45 mg, 30 mg, and 15 mg daily in patients with CP-CML resistant/intolerant to ≥2 TKIs or with a T315I mutation. The interim analysis showed that the 45-mg (vs 30 mg or 15 mg) starting dose (with reduction to 15 mg upon response) provided the best clinical outcomes and responses were maintained in >75% of patients who dose reduced. Here, we present efficacy and safety outcomes by baseline mutation status and line of treatment for the 3 dose cohorts. Methods: Patients with CP-CML resistant/intolerant to ≥2 TKIs or with T315I mutation were randomized to ponatinib starting doses of 45 mg (Cohort A; 45 mg → 15 mg), 30 mg (B; 30 mg → 15 mg), and 15 mg (C) once daily (qd). Doses were reduced to 15 mg on achievement of ≤1% BCR-ABL1ISin Cohorts A and B. Doses also could be reduced for safety. The primary endpoint is ≤1% BCR-ABL1IS at 12 months. In this analysis, the outcome was analyzed by baseline mutation status (none, any, T315I, and non-T315I) and number of prior TKIs (≤2 or ≥3) in the intent-to-treat (ITT) population. Treatment-emergent adverse events (TEAEs), serious TEAEs, and AOEs by adjudication were summarized by number of prior TKIs (≤2 or ≥3). Interim analysis results are descriptive. Results: Patients (N=283) were randomized: A/B/C n=94/95/94; median age was 48 y (18‒81 y). Seven patients were excluded from the intent-to-treat population (N=276) because they had atypical transcripts. Mutation status was well balanced between cohorts; 59% had no mutation, 41% had ≥1 baseline mutation, 24% had T315I, and 17% had a non-T315I mutation. In all categories of mutation status, the rate of ≤1% BCR-ABL1IS by 12 months was highest in Cohort A, with the most notable differences seen in patients with T315I (A: 60%, B: 25%, C: 6%) (Table 1). Patients with no mutations or other mutations had smaller differences but the outcomes all still favored 45 mg. Patients in all cohorts were treated with multiple TKIs, with 54% (A), 60% (B), and 53% (C) having 3 or more prior TKIs. The rate of ≤1% BCR-ABL1IS by 12 months was highest in Cohort A, both in patients treated with ≤2 or ≥3 prior TKIs (43% and 49%, respectively) (Table 1). Table 2 shows rates of TEAEs and TE-AOEs by cohort and number or prior TKIs. There was a trend toward higher event rates in Cohort A and for patients treated with ≥3 TKIs. Rates of adjudicated AOEs were low (≤6%) in all 3 cohorts irrespective of the number of prior TKIs. Conclusions: At this interim analysis with a median follow-up of ~21 months, the maximum benefit:risk, regardless of mutation status or number of prior TKIs, was observed in patients treated with a 45-mg starting dose, with a reduction to 15 mg upon achievement of response. Patients with the T315I mutation who initiated ponatinib at 45 mg experienced better response rates than those who initiated ponatinib at 30-mg or 15-mg starting doses. Primary analysis will provide a refined understanding of the benefit:risk profile of 3 different starting doses of ponatinib. Disclosures Cortes: BioPath Holdings: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Sun Pharma: Research Funding; Telios: Research Funding; Amphivena Therapeutics: Research Funding; Astellas: Research Funding; Bristol-Myers Squibb: Research Funding; BiolineRx: Consultancy, Research Funding; Arog: Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Immunogen: Research Funding; Merus: Research Funding. Apperley:Bristol Myers Squibb: Honoraria, Speakers Bureau; Incyte: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Pfizer: Honoraria, Research Funding, Speakers Bureau. Hochhaus:Novartis: Honoraria, Research Funding; Incyte: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Takeda: Honoraria; MSD: Research Funding. Mauro:Sun Pharma/SPARC: Research Funding; Pfizer: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Takeda: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Novartis: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Other: Travel, Accommodation, Expenses, Research Funding. Rousselot:Bristol-Myers Squibb: Consultancy; Pfizer: Consultancy, Research Funding; Novartis: Consultancy; Takeda: Consultancy; Incyte: Consultancy, Research Funding. Sacha:Incyte: Consultancy, Honoraria, Speakers Bureau; Bristol-Myers Squibb Company: Consultancy, Honoraria, Speakers Bureau; Adamed: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria, Speakers Bureau. Talpaz:Novartis: Research Funding; IMAGO: Consultancy; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding. Chuah:Korea Otsuka Pharmaceutical: Honoraria; Pfizer: Other: Travel, Research Funding; Novartis: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding. Lipton:Bristol-Myers Squibb: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; Takeda: Consultancy, Honoraria, Research Funding. Deininger:SPARC: Research Funding; Novartis: Consultancy, Other, Research Funding; Sangamo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Honoraria, Other, Research Funding; Blueprint Medicines Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: part of a study management committee, Research Funding; Fusion Pharma: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Medscape: Consultancy; DisperSol: Consultancy; Leukemia & Lymphoma Society: Research Funding; Gilead Sciences: Research Funding; Ariad: Consultancy, Honoraria, Other; Bristol-Myers Squibb: Consultancy, Honoraria, Other, Research Funding; Galena: Consultancy, Honoraria, Other; Celgene: Research Funding; Pfizer: Honoraria, Other, Research Funding. Schiffer:BMS: Consultancy; Novartis: Consultancy; Takeda: Research Funding. García Gutiérrez:Pfizer: Honoraria, Other: travel/accommodations/expenses, Research Funding; Novartis Pharma AG: Consultancy, Honoraria, Other: travel/accommodations/expenses, Research Funding; Incyte: Consultancy, Honoraria, Other: travel/accommodations/expenses, Research Funding. de Lavallade:Novartis: Honoraria; Pfizer: Honoraria; BMS: Honoraria, Research Funding; Incyte: Honoraria, Research Funding. Etienne:Bristol-Myers Squibb: Consultancy, Research Funding, Speakers Bureau; Novartis: Consultancy, Research Funding, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau. Lu:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Current Employment. Srivastava:Takeda: Current Employment. Rosti:Novartis: Speakers Bureau; Incyte: Speakers Bureau; Bristol-Myers Squibb: Speakers Bureau; Pfizer: Research Funding, Speakers Bureau.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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 designObservational
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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Citations8
Published2020
Admission routes1
Has abstractyes

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