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Enregistrement 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 sur 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

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensUniversity of CalgaryJewish General HospitalMontreal General Hospital
Organismes subventionnairesnon disponible
Mots-clésBruton's tyrosine kinaseIbrutinibMutationGeneMutantTyrosine kinaseKinasePhases of clinical research

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,390
Écart entre enseignants0,351 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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