Acalabrutinib versus rituximab plus idelalisib or bendamustine in relapsed/refractory chronic lymphocytic leukemia: ASCEND results at 4 years of follow-up.
Bibliographic record
Abstract
7538 Background: Acalabrutinib (acala) is a next-generation, highly selective, covalent Bruton tyrosine kinase (BTK) inhibitor approved for patients (pts) with chronic lymphocytic leukemia (CLL). In the primary analysis of ASCEND (median follow-up 16.1 mo), acala showed superior efficacy with an acceptable tolerability profile vs idelalisib (Id) plus rituximab (R) (IdR) or bendamustine (B) plus R (BR) in pts with relapsed/refractory (R/R) CLL (Ghia et al. J Clin Oncol. 2020;38:2849-2861). We report the results of the ASCEND study at ~4 years of follow-up. Methods: In this multicenter, randomized, open-label, phase 3 study (NCT02970318), pts with R/R CLL received oral (PO) acala 100 mg BID until progression or unacceptable toxicity or investigator’s (INV) choice of IdR (Id: 150 mg PO BID until progression or unacceptable toxicity; R: 375 mg/m2 x1 then 500 mg/m2 IV [8 total infusions]) or BR (B: 70 mg/m2 IV; R: 375 mg/m2 x1 then 500 mg/m2 IV [6 cycles]). Progression-free survival (PFS), overall survival (OS), overall response rate (ORR), and safety were assessed. Results: A total of 310 pts (acala, n=155; IdR, n=119; BR, n=36) were randomized (median age 67 y; del(17p) 15%, unmutated IGHV 74%, Rai stage 3/4 42%). At median follow-up of 46.5 mo (acala) and 45.3 mo (IdR/BR), acala significantly prolonged INV-assessed PFS vs IdR/BR (median not reached [NR] vs 16.8 mo; P<0.0001); 42-mo PFS rates were 62% for acala vs 19% for IdR/BR. In pts with del(17p), median PFS was NR (acala) vs 13.8 mo (IdR/BR; P<0.0001). In pts with unmutated IGHV, median PFS was NR (acala) vs 16.2 mo (IdR/BR; P<0.0001). Median OS was NR in both arms; 42-mo OS rates were 78% (acala) vs 65% (IdR/BR). ORR was 83% (acala) vs 84% (IdR/BR) (ORR + partial response with lymphocytosis: 92% [acala] vs 88% [IdR/BR]). AEs led to drug discontinuation in 23% of acala, 67% of IdR, and 17% of BR pts. Events of clinical interest (acala vs IdR/BR) included all-grade atrial fibrillation/flutter (8% vs 3%), all-grade hypertension (8% vs 5%), all-grade major hemorrhage (3% vs 3%), and grade ≥3 infections (29% vs 29%). Conclusions: At ~4 years of follow-up, acala maintained efficacy compared with standard-of-care regimens and a consistent tolerability profile in R/R CLL. Clinical trial information: NCT02970318. [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".