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Record W4405034804 · doi:10.1182/blood-2024-207634

5-Year Follow-up of the Phase 2 Optic Study in Patients with Chronic-Phase Chronic Myeloid Leukemia: Efficacy, Safety, and First End-of-Treatment Mutational Results

2024· article· en· W4405034804 on OpenAlexaff
Jörge E. Cortes, Michael W. Deininger, Jane F. Apperley, Christopher Arthur, Charles Chuah, Andreas Hochhaus, Hugues de Lavallade, Jeffrey H. Lipton, Elza Lomaia, James McCloskey, Michael J. Mauro, Beatriz Moiraghi, Carolina Pavlovsky, Gianantonio Rosti, Philippe Rousselot, María Soledad Undurraga, Lin Yang, Alexander Vorog, Tammie C. Yeh, L. Evan Reddick, Niti Patel, Hagop M. Kantarjian

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
FundersScheme for Promotion of Academic and Research CollaborationSun PharmaOtsuka PharmaceuticalAscentage PharmaIpsen BiopharmaceuticalsIpsenJazz PharmaceuticalsBristol-Myers SquibbIncyteAmgen
KeywordsMedicineMyeloid leukemiaPhases of clinical researchPhase (matter)OncologyInternal medicineClinical trialChemistry

Abstract

fetched live from OpenAlex

Introduction: Ponatinib is a third-generation BCR::ABL1 tyrosine kinase inhibitor (TKI) that potently inhibits native and mutant forms of BCR::ABL1, including T315I. The phase 2 OPTIC (NCT02467270) study evaluated a response-based ponatinib dosing strategy to optimize efficacy and improve safety of ponatinib in patients (pts) with chronic-phase chronic myeloid leukemia (CP-CML) whose disease was resistant to ≥2 TKIs or who had the T315I mutation. The 45-mg once-daily (QD) starting dose with dose reduction to 15 mg QD upon achievement of BCR::ABL1IS ≤1% (MR2) was associated with optimal benefit:risk outcomes, resulting in FDA approval of this response-based dosing strategy for the treatment of pts with CP-CML with disease resistant to ≥2 TKIs or with T315I. We present results from the 5-year update of efficacy and safety outcomes from OPTIC. Methods: Pts with CP-CML resistant to ≥2 TKIs or with the T315I mutation were randomized to ponatinib starting doses of 45 mg, 30 mg, and 15 mg QD. Upon achievement of ≤1% BCR::ABL1IS, doses were reduced to 15 mg in the 45-mg and 30-mg cohorts. The primary endpoint was ≤1% BCR::ABL1IS at 12 months; secondary endpoints included molecular response rates and safety outcomes, including arterial occlusive events (AOEs) adjudicated prospectively by an independent review committee. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier methods. Exploratory mutational analyses were conducted with baseline and end-of-treatment (EOT) blood samples. Results: A total of 283 pts were randomized (45 mg/30 mg/15 mg: n=94/95/94; median age, 48 years [range: 18‒81 years]; male, 50%; race: White 79%, Asian 15%, Black 2%; ethnicity: 74% not Hispanic or Latino; T315I mutation, 24%). Median dose intensity was 27.7, 23.5, and 14.7 mg/day in the 45-mg, 30-mg, and 15-mg cohorts, respectively. As of the data cutoff (May 2, 2024), when the last pt still on study reached at least 5 years of treatment, 73 pts (26%) remained on ponatinib treatment; the most common reasons for treatment discontinuation were adverse event (45 mg/30 mg/15 mg: n=20/19/17), lack of efficacy (n=16/22/28), and progressive disease (n=8/10/7). By 60 months, 60% (56/93), 41% (38/93), and 40% (36/91) of pts in the 45-mg, 30-mg, and 15-mg cohorts, respectively, achieved ≤1% BCR::ABL1IS. Pts with a T315I mutation at baseline also had a higher MR2 rate by 60 months at the 45-mg starting dose (64%; n=25), which was comparable to those with no mutations at baseline (60%; n=50). Median duration of ≤1% BCR::ABL1IS was not reached in any cohort. By 60 months, the rates of ≤0.01% BCR::ABL1IS were 24% (22/93), 18% (17/93), and 19% (17/91) in the 45-mg, 30-mg, and 15-mg starting dose cohorts, respectively, and rates of ≤0.0032% BCR::ABLIS were 13% (12/93), 14% (13/93), and 15% (14/91), respectively. The estimated PFS rates at 60 months were 63%, 57%, and 60% in the 45-mg, 30-mg, and 15-mg cohorts. Estimated OS rates at 60 months were similar across starting dosing cohorts. Among pts who had dose reduction to 15 mg after achieving ≤1% BCR::ABL1IS, 29% (13/45) in the 45-mg cohort and 23% (6/26) in the 30-mg cohort lost the response after dose reduction. Of the pts in the 45-mg and 30-mg cohorts who had dose re-escalation after loss of ≤1% BCR::ABL1IS response, 69% (9/13) and 80% (4/5), respectively, regained a ≤1% BCR::ABL1IS response. The most common grade 3/4 treatment-emergent adverse events were thrombocytopenia (27%), neutropenia (18%), and hypertension (10%). Exposure-adjusted AOE rates per 100 pt-years (95% confidence interval) were similar across the 3 cohorts: 45 mg, 4.1 (1.8-6.4); 30 mg, 3.4 (1.0-5.8); 15 mg, 1.2 (0.0-2.5). For the first time, EOT mutation analyses will be shared. Among 74 pts with no baseline mutation and available EOT data, only 6 had BCR::ABL1 mutations detected; 5 received the 15-mg starting dose and 1 had the 45-mg starting dose (E255K). Conclusion: Long-term results from OPTIC highlight the clinical benefits of ponatinib in patients with CP-CML resistant to ≥2 TKIs or harboring a T315I mutation. These results are consistent with previous OPTIC analyses and demonstrate that the approved ponatinib starting dose of 45 mg QD with reduction to 15 mg QD upon attainment of ≤1% BCR::ABL1IS provides the optimal benefit:risk ratio. Mutation data from EOT samples support ponatinib suppression of emerging mutations at the approved 45-mg starting dose.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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 designNon-randomized 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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Citations3
Published2024
Admission routes1
Has abstractyes

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