ENESTnd Update: Nilotinib (NIL) Vs Imatinib (IM) In Patients (pts) With Newly Diagnosed Chronic Myeloid Leukemia In Chronic Phase (CML-CP) and The Impact Of Early Molecular Response (EMR) and Sokal Risk At Diagnosis On Long-Term Outcomes
Bibliographic record
Abstract
Abstract Introduction Frontline NIL continues to show benefit over IM in pts with Philadelphia chromosome-positive (Ph+) CML-CP, with higher rates of major molecular response (MMR; BCR-ABLIS ≤ 0.1%) and MR4.5 (BCR-ABLIS ≤ 0.0032%), lower rates of progression to accelerated phase (AP)/blast crisis (BC) and fewer new BCR-ABL mutations on treatment in the Evaluating Nilotinib Efficacy and Safety in Clinical Trials–Newly Diagnosed Pts (ENESTnd) trial. Here, we report data with a minimum follow-up (f/u) of 4 y; updated data based on 5 y of f/u will be presented. Methods Adults with newly diagnosed Ph+ CML-CP (N = 846) were randomized to NIL 300 mg twice daily (BID; n = 282), NIL 400 mg BID (n = 281), or IM 400 mg once daily (QD; n = 283). Progression and overall survival (OS) events were collected prospectively during study f/u, including after discontinuation of study treatment. Efficacy in the NIL 300 mg BID and IM arms was evaluated based on achievement of EMR (BCR-ABLIS ≤ 10% at 3 mo). Results At 4 y, ≥ 87% of pts remained on study in each arm and 57%-69% remained on core treatment (Table). Rates of MMR and MR4.5 by 4 y were significantly higher with NIL vs IM. Significantly fewer pts progressed to AP/BC on NIL vs IM (on core treatment: 0.7%, 1.1%, and 4.2%; on study: 3.2%, 2.1%, and 6.7% [NIL 300 mg BID, NIL 400 mg BID, and IM arms, respectively]). Of 17 pts across the 3 arms who progressed on core treatment, 11 (65%) had never achieved complete cytogenetic response and none had achieved MR4.5. Fewer mutations have emerged in the NIL arms vs the IM arm; in y 4, mutations emerged in 2 pts (1 pt with T315I on NIL 300 mg BID; 1 pt with F317L on IM). More pts achieved EMR in the NIL 300 mg BID arm vs the IM arm (91% vs 67%). Pts with EMR had significantly higher rates of progression-free survival (PFS) and OS at 4 y vs pts with BCR-ABL > 10% at 3 mo. Among pts with BCR-ABL > 10% at 3 mo, more progressions to AP/BC occurred in the IM arm (n = 14) vs the NIL 300 mg BID arm (n = 2); half of these pts progressed between 3 and 6 mo. In pts with intermediate or high Sokal risk, PFS and OS at 4 y were higher in both NIL arms vs the IM arm. No new safety signals were detected. Selected cardiac and vascular events were more common on NIL vs IM (by 4 y, peripheral arterial occlusive disease [PAOD] in 4 [1.4%], 5 [1.8%], and 0 pts; ischemic heart disease [IHD] in 11 [3.9%], 14 [5.1%,] and 3 [1.1%] pts; and ischemic cerebrovascular events in 3 [1.1%], 5 [1.8%], and 1 [0.4%] pts in the NIL 300 mg BID, NIL 400 mg BID, and IM arms, respectively). In the NIL 300 mg BID arm, 2 of 11 IHD events occurred between 3 and 4 y (all 4 PAOD events occurred in the first 2 y). In the NIL 400 mg BID arm, 2 of 5 PAOD events and 3 of 14 IHD events occurred between 3 and 4 y. Most pts (7 of 9) with a PAOD event on NIL were at high risk due to a combination of baseline risk factors. Conclusions NIL, a standard-of-care frontline therapy option for newly diagnosed CML-CP pts, affords superior efficacy compared with IM, including higher rates of EMR (which is associated with improved long-term outcomes), higher rates of MR4.5 (a key eligibility criterion for many studies of treatment-free remission), and a lower risk of disease progression. NIL continues to show good tolerability with long-term f/u. While selected cardiac and vascular events (including PAOD) are slightly more frequent on NIL vs IM, no increase in annual incidence of these events over time has been observed. Disclosures: Saglio: ARIAD: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Hochhaus:Ariad: Research Funding; Bristol Myers Squibb: Research Funding; Novartis: Research Funding; Pfizer: Research Funding. Hughes:Ariad: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; CSL: Research Funding. Clark:Pfizer: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau. Nakamae:Bristol Myers Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau, travel/ accomodations/ meeting expenses Other. Kim:BMS, Novartis,IL-Yang: Honoraria; Pfizer: Consultancy, Research Funding. Etienne:Pfizer: Membership on an entity’s Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy, Membership on an entity’s Board of Directors or advisory committees; novartis: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Ariad: Membership on an entity’s Board of Directors or advisory committees. Flinn:Novartis: Research Funding. Lipton:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Ariad: Equity Ownership, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau. Moiraghi:Bristol Myers Squibb: Speakers Bureau; Novartis: Speakers Bureau. Fan:Novartis: Employment. Menssen:Novartis: Employment. Kantarjian:Novartis: Research Funding; Pfizer: Research Funding; Bristol Myers Squibb: Research Funding; ARIAD: Research Funding. Larson:Pfizer: Consultancy; Novartis: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".