Extended Follow-up and Resistance Mutations in CLL Patients Treated with Acalabrutinib
Bibliographic record
Abstract
Background: Covalent Bruton tyrosine kinase inhibitor (cBTKi) is a standard treatment for chronic lymphocytic leukemia (CLL). Understanding of acquired resistance to cBTKi therapy has largely come from data on patients (pts) treated with the first-in-class cBTKi ibrutinib. Mutations in BTK C481 and to a lesser extent PLCG2 are frequently detected in ibrutinib-treated pts at the time of progressive disease (PD). In contrast, much less is known about genetic mechanisms of drug resistance in pts treated with next generation cBTKi acalabrutinib and zanubrutinib. A recent study identified 3 pts with BTK C481 mutations and no pts with PLCG2 mutations among 8 acalabrutinib-treated pts with progressive disease (PD) (Black, et al. Blood 2022). A second study found a kinase-dead BTK L528W mutation in 7/13 zanubrutinib-treated pts (Blombery, et al. Blood Adv 2022). Although cBTKi share the same mechanism of action by binding to BTK C481, the latter report discloses differences in clonal selection and underscores the need for further investigation in pts treated with next generation cBTKi. In a phase 2 study of acalabrutinib in pts with treatment naïve (TN) CLL or small lymphocytic lymphoma (SLL) with 17p deletion, or TP53 or NOTCH1 mutation, or relapsed/refractory (R/R) CLL/SLL regardless of cytogenetics or somatic mutations (Sun, et al. Blood 2020), we sought to understand clonal evolution during treatment. Methods: Peripheral blood mononuclear cells (PBMCs) were collected from 48 pts at baseline, after 6 months, then annually on treatment until PD. Current analysis includes 14 PD pts [excluding 3 Richter transformation (RT) pts] comprising 10 R/R and 4 TN CLL pts. Additionally, paired baseline and PD bone marrow (BM) from 6 pts and lymph node (LN) samples from 2 pts were included. Targeted next-generation sequencing of ~700 recurrently mutated genes in hematological malignancies (Collins, et al. Leuk Lymphoma. 2021) was performed using DNA isolated from CD19 + enriched cryopreserved PBMCs and BM aspirates, as well as fresh-frozen core LN biopsies. Filtered variants in putative CLL driver genes (Knisbacher, et al. Nat Genet. 2022) with variant allele frequencies (VAF) ≥1% for BTK and PLCG2, ≥5% for variants with known oncological significance, and ≥7.5% for all other variants were included in downstream analysis. Results: After a median follow-up of 6.5 years (IQR 2.9-6.3), 23/48 (48%) pts developed PD (20 CLL, 3 RT). PD occurred in 17/32 (53%) R/R pts and 6/16 (38%) TN pts. Median progression-free survival was reached at 6.0 years. Best response was complete remission in 2/20 (10%) pts and partial remission in 18/20 (90%) pts with CLL PD. IGHV was unmutated in all but one PD patient. At baseline, 34 CLL driver genes were mutated in 41/45 pts (91%; excluding 3 RT pts) with most mutations in NOTCH1, TP53, ATM, SF3B1, BIRC3, and NFKBIE. During acalabrutinib treatment but before PD, 14/45 pts (31%; 8 R/R and 6 TN) acquired mutations in 11 driver genes, most commonly in BRAF (n=4), CREBBP (n=4), and KMT2D (n=2). At the time of PD, 11/14 pts (79%) had newly acquired mutations in 4 genes, predominantly BTK (n=6) and PLCG2 (n=4). BTK C481 mutations (VAF 2-42%) were detected in 6/14 (43%; 4 R/R and 2 TN) pts and T474I mutation (VAF 4-46%) in 3/14 (21%; 1 R/R and 2 TN) pts. Paired BM samples in 2 pts and LN samples in 2 pts showed the same BTK mutations as PBMCs with similar VAFs. PLCG2 mutations (VAF 1-8%) were found in 4/14 (29%; 2 R/R and 2 TN) pts. BTK C481 co-occurred with BTK T474I in 3 pts, but on different sequencing reads suggesting independent subclones, and with a PLCG2 mutation in 1 pt. There have been no pts with BTK L528 mutations. In conclusion, mutations in BTK and PLCG2 are the predominant resistance mechanism to acalabrutinib. Among BTK mutations, C481 was the most common. All T474I mutations co-occurred with C481.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".