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Record W2904280057 · doi:10.1182/blood-2018-99-116563

Updated 18-Month Results from Dasfree: A Study Evaluating Dasatinib Discontinuation in Patients (Pts) with Chronic Myeloid Leukemia in Chronic Phase (CML-CP) and Deep Molecular Response (DMR)

2018· article· en· W2904280057 on OpenAlexaff
Neil P. Shah, Jose Valentín García Gutiérrez, Antonio Jiménez‐Velasco, Sarah Larson, Susanne Saußele, Delphine Réa, François‐Xavier Mahon, Moshe Levy, María Teresa Gómez‐Casares, Fabrizio Pane, Franck‐Emmanuel Nicolini, Michael J. Mauro, Oumar Sy, Patricia Martin Regueira, Jeffrey H. Lipton

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsDasatinibDiscontinuationMedicineInternal medicineClinical endpointImatinibImatinib mesylateMyeloid leukemiaOncologyRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract Introduction: Tyrosine kinase inhibitor (TKI) discontinuation is being investigated in pts with CML-CP with sustained DMR (defined here as MR4.5 or BCR-ABL1 ≤ 0.0032% on the International Scale [IS]), with the goal of treatment-free remission (TFR). Successful TFR has been reported previously for pts enrolled in DASFREE (CA180-406/NCT01850004), which showed that 48% of CML-CP pts with DMR for ≥ 1 year were able to stop dasatinib and maintain major molecular response (MMR) 12 months after discontinuation. Here we present updated results from pts followed for a minimum of 18 months, in order to understand the durability of TFR beyond 12 months. Methods: DASFREE is a phase 2, open-label, single-arm study in adult pts with CML-CP on dasatinib for ≥ 2 years as 1st-line or subsequent therapy. Eligible pts had dasatinib-induced DMR (MR4.5) confirmed at a local lab for ≥ 1 year prior to enrollment, with a 1-log reduction in BCR-ABL1 from baseline within 3-6.5 months of starting dasatinib. MR4.5 was confirmed at a central lab twice within 3 months prior to dasatinib discontinuation (screening phase). BCR-ABL1 was monitored centrally after discontinuation every month in the 1st year, then every 3 months. Pts resumed dasatinib at their previous dose if MMR was lost. The primary endpoint is the rate of MMR 12 months after dasatinib discontinuation. Secondary endpoints include BCR-ABL1 kinetics, molecular relapse-free survival (MRFS; no loss of MMR), relapse-free survival (RFS; no loss of MMR, complete cytogenetic response, or complete hematologic response, or progression to accelerated/blast phase [AP/BP] CML), rate of transformation to AP/BP, progression-free survival, and overall survival. Exploratory analyses include frequency of adverse events (AEs) after discontinuation and during dasatinib treatment, and MMR after reinitiating dasatinib. Results: In total, 84 pts enrolled between February 2014 and June 2016 discontinued dasatinib; all had ≥ 18 months of follow-up after discontinuation at the time of this analysis. Pt characteristics were previously reported (the majority [64%] had low Sokal scores; no pt had prior interferon; 37 pts were on 1st-line dasatinib, 47 on subsequent lines of dasatinib). At 18 months after discontinuation, the RFS rate was 48% (95% CI 37-58) in all pts (Figure), 54% (95% CI 38, 70) in 1st-line pts, and 42% (95% CI 28, 57) in pts who received subsequent-line therapy. With longer follow-up, 1 additional pt lost MMR at 18 months following discontinuation. Of the 45 pts who lost MMR and restarted treatment, 44 regained MMR (1 pt discontinued after only 1 molecular assessment) in a median of 2 months (range 1-4) and 42 regained MR4.5 in a median of 3 months (range 2-18). Analyses of baseline pt characteristics revealed that for the 40 pts who did not lose MMR after discontinuation, 15 (37.5%) were able to maintain MR4.5. Additionally, the median time in prior MR4.5 was 28 months (range 13-116) for all pts, and was similar for 1st-line pts who maintained (27 months [range 13-56]) or lost MMR (27 months [range 15-68]) at 12 months. With longer follow-up, AEs (any cause) identified were consistent with previous reports and were found to be similar on and off treatment: 8 (10%) pts off treatment and 8 (18%) pts on treatment experienced grade 3/4 AEs of any cause after restarting dasatinib (4.4% were drug related). No transformation events or deaths occurred. Of the 13 reported withdrawal events occurring in 8 (9.5%) pts, 10 were resolved (5 off treatment, 5 resolved after restarting treatment due to loss of MMR) after a median of 5 months (range 1-12) after onset. One pt discontinued after restarting dasatinib due to malignancy unrelated to treatment. In addition to efficacy and safety data, multivariate analyses evaluating prognostic factors for MMR will be presented. Conclusions: Additional follow-up of pts enrolled in DASFREE revealed that TFR remained durable at 18 months after discontinuing dasatinib. AEs reported here were consistent with the known safety profile of dasatinib, and withdrawal was well tolerated. Collectively, this trial, the largest dasatinib discontinuation trial to date, continues to support the feasibility and practicality of TFR in pts with CML-CP in DMR treated with dasatinib in the 1st line and beyond. Figure. Figure. Disclosures Shah: ARIAD: Research Funding; Bristol-Myers Squibb: Research Funding. García Gutiérrez:Bristol-Myers Squibb: Consultancy, Research Funding, Speakers Bureau; Incyte: Consultancy, Research Funding, Speakers Bureau; Novartis: Consultancy, Research Funding, Speakers Bureau. Larson:Bristol-Myers Squibb: Consultancy; Takeda: Speakers Bureau. Saussele:Bristol-Myers Squibb: Honoraria, Research Funding; Incyte: Honoraria; Novartis: Honoraria, Research Funding; Pfizer: Honoraria. Rea:Incyte: Honoraria; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria. Mahon:Bristol-Myers Squibb: Speakers Bureau; Incyte: Speakers Bureau; Novartis: Speakers Bureau; Pfizer: Speakers Bureau. Levy:Takeda (Millennium Pharmaceuticals, Inc.): Consultancy. Gómez-Casares:Novartis: Speakers Bureau; Bristol-Myers Squibb: Speakers Bureau; Incyte: Speakers Bureau. Pane:Bristol-Myers Squibb: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Incyte: Consultancy. Nicolini:Incyte: Consultancy, Honoraria, Speakers Bureau; Sun Pharma: Consultancy; Bristol-Myers Squibb: Consultancy, Honoraria, Speakers Bureau. Mauro:Pfizer: Consultancy; Takeda: Consultancy; Bristol-Myers Squibb: Consultancy; Novartis: Consultancy, Research Funding. Sy:Bristol-Myers Squibb: Employment. Martin Regueira:Bristol-Myers Squibb: Employment, Equity Ownership. Lipton:ARIAD: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: 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)0.004
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.313
Teacher spread0.294 · 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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Citations9
Published2018
Admission routes1
Has abstractyes

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