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Record W4417001967 · doi:10.1182/blood-2025-797

Genomic assessment of acquired mutations in participants with CLL/SLL treated with nemtabrutinib in the Phase 2 bellwave-003 study

2025· article· en· W4417001967 on OpenAlexaff
Thomas J. Kipps, Guilherme Fleury Perini, David Lavie, Ricardo Bigni, Almudena Navarro‐Bailón, Ohad Benjamini, Riva Fineman, Christof Schneider, Sarit Assouline, Carolyn Owen, András Masszi, Juan Dupont, Mackenzie Edmondson, Cai Chen, Răzvan Cristescu, Nicole Myer, Yan Xu, Jing Yang, Mohammed Z.H. Farooqui, Wojciech Jurczak

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of CalgaryJewish General HospitalMontreal General Hospital
Fundersnot available
KeywordsBruton's tyrosine kinaseIbrutinibMutationGeneMutantTyrosine kinaseKinasePhases of clinical research

Abstract

fetched live from OpenAlex

Abstract Introduction: Nemtabrutinib is a once daily, noncovalent, reversible Bruton tyrosine kinase inhibitor (BTKi) that targets BTK and other kinases involved in B-cell receptor signaling. Analysis of nemtabrutinib-treated cell lines using next-generation sequencing showed a lack of mutation in BTK and PLCγ2, in contrast with other covalent and noncovalent BTKi such as ibrutinib and pirtobrutinib, respectively (Qi et al, Blood Adv, 2023). Nemtabrutinib has also demonstrated preclinical activity across a panel of BTK mutant cells lines carrying both C481 and non-C481 mutations derived from participants (pts) treated with pirtobrutinib, like T474I and L528W (Wang et al, NEJM, 2022). Moreover, nemtabrutinib has also shown activity in preclinical models with high-risk mutations such as TP53 (Sartori et al, Mol Ther, 2023), supporting its potential as a therapeutic option in BTKi-resistant and genetically high-risk B cell malignancies. In this exploratory analysis we present data on mutations in genes such as BTK, PLCγ2 (acquired resistance mutations), and TP53, MAPK, NOTCH, MYD88, SF3B1, ATM, BCL2 (prognostic mutations), and efficacy outcomes in pts with CLL/SLL treated with nemtabrutinib in the phase 2 BELLWAVE-003 study. Methods:The phase 2 BELLWAVE-003 study enrolled pts with R/R CLL/SLL to receive nemtabrutinib at the RP2D of 65 mg once daily until unacceptable toxicity, disease progression (PD), or withdrawal. Eligible pts with R/R CLL/SLL must have prior covalent BTKi and BCL2i and be considered relapsed/refractory to both classes of treatment, at least one prior line of therapy and BTKi treatment-naïve, or with 17p deletion or TP53 mutation. Sequencing was performed at various timepoints through end of treatment (EOT) utilizing a comprehensive genomic profiling assay tailored for hematologic malignancies. Next-generation sequencing on DNA from >400 cancer-related genes was included. Data cutoff was Jan 29, 2025. Results: A total of 92 pts with CLL/SLL were biomarker evaluable (having both baseline and EOT or proxy samples [≥ cycle 7]). Among biomarker evaluable pts, 8 (9%) did not have a mutation of interest at baseline. In contrast, a majority of pts entering the study, 84 (88%), had one or more resistance or poor prognosis mutations at baseline, including 28 (30%) with BTK C481S or other C481 substitutions, 7(8%) with acquired gain-of-function mutations in PLCγ2, 3 (3%) with BTK mutations other than at C481, and 78 (85%) with a poor prognostic mutation in evaluated genes of interest (TP53, MAPK, NOTCH1, SF3B1, ATM or BCL2). Following treatment with nemtabrutinib, 17 (18%) acquired a mutation in genes associated with poor prognosis including TP53 (3 [3%]), MAPK (1 [1%]), NOTCH1 (5 [5%]), SF3B1 (5 [5%]), ATM (4 [4%]), and BLC2 (1 [1%]). Two (2%) pts acquired a resistance mutation in PLCγ2, making the mutation rare, and no pts acquired a BTK C481 or non-C481 resistance mutation. Both pts who acquired a PLCγ2 mutation had extensive prior treatment (e.g. >4 lines); efficacy outcomes were pending central review at the time of data cut-off. A total of 32 (35%) pts were ongoing with study treatment at data cut-off. Among biomarker evaluable pts, 63 (68%) were evaluable for best overall response by central review. A best response of partial response or partial response with lymphocytosis, as per 2018 iwCLL guidelines, was observed in 42 (67%) pts, 13 had SD, 4 had PD, and 4 were non-evaluable. Of 42 pts that responded, 34 (81%) had poor prognostic mutations at baseline and 11 (26%) had BTK or PLCγ2 mutations at baseline. None acquired a canonical BTK resistance mutation including a PLCγ2, BTK C481, or BTK non-C481 variant at EOT or EOT proxy. A total of 23 (37%) had PD at last assessment. Conclusion:These data show that across all biomarker-evaluable pts with R/R CLL/SLL receiving nemtabrutinib in BELLWAVE-003, acquired resistance mutations to BTKi were rare, regardless of response. While BTK mutations are the most frequent mechanism of resistance to covalent BTKi and have also been reported after treatment with non-covalent BTKi, none were detected in pts treated with nemtabrutinib. These data support the rationale for systematically evaluating the molecular basis of acquired resistance, which may differ from mechanisms observed with other noncovalent BTKi. Future analyses with more mature data aim to assess clonal evolution at later timepoints and identify potential late-emerging or atypical resistance mutations.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.039
GPT teacher head0.390
Teacher spread0.351 · 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 designObservational
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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Citations1
Published2025
Admission routes1
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