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Enregistrement W4389247709 · doi:10.1182/blood-2023-189924

A Multi-Modal Analysis of Acquired Resistance to Acalabrutinib and Pirtobrutinib Provides Potential Strategies to Augment Treatment Outcome with BTKi Drugs

2023· article· en· W4389247709 sur OpenAlexaff
Xiaoyun Wu, Shariful Islam, Derek B. Oien, Collin Tokheim, Alex Beacom, Neeraj K. Aryal, Michelle Hsueh, Muskan Floren, Douglas Ross‐Thriepland, Daniel Barrell, Ultan McDermott, Veerendra Munugalavadla, Daniel Auclair, Simon Rule, Arthur L. Shaffer, Jude Fitzgibbon, Lisa Drew

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensAstraZeneca (Canada)
Organismes subventionnairesnon disponible
Mots-clésBruton's tyrosine kinaseCell cultureIbrutinibCarfilzomibBiologyChemistryCancer researchGeneticsProteasome inhibitorChronic lymphocytic leukemiaTyrosine kinaseLeukemia

Résumé

récupéré en direct d'OpenAlex

Introduction: Acalabrutinib (acala), a covalent BTK inhibitor (BTKi), exhibits excellent efficacy and safety in CLL and other B cell malignancies. However, long term efficacy is often compromised by the acquisition of mutations at the acala-binding residue C481, the most prevalent being C481S. Pirtobrutinib (pirto), a reversible BTKi, is active clinically in patients who have progressed on a covalent BTKi with or without C481S mutations. Besides BTK mutations, several additional pathways are hypothesized to contribute to BTKi resistance and may be highly relevant to the sequencing and combining of CLL-directed therapies. To understand acquired resistance to both acala and pirto, we employed multiple approaches, including a genome-wide CRISPR knockout (KO) screen and the generation of BTK mutant drug resistant cell lines. Methods: Genome-wide CRISPR KO screen was performed in the BTKi-sensitive CD79B-MYD88 double mutant ABC-DLBCL cell line TMD8 with 3 guides/gene (best Vienna BioScore). Pooled library-transduced cells at 750x target coverage were cultured for 14 days with sublethal acala or pirto concentrations to achieve ~60% growth inhibition over DMSO. NGS/BAGAL/MAGeCK analyses identified enriched/depleted guides and corresponding resistance/sensitizing genes (FDR<0.1). Hits were validated by single gene KO (Cas9 RNP + 3-plex gRNA nucleofection) and 10-day growth assays with BTKi treatment. BTK mutant cell lines resistant to acala or pirto were derived in TMD8 and the BTKi-sensitive Karpas1718 MZL cell line by culturing through dose escalation. Exome/RNAseq was used to identify BTK mutations. TMD8 BTK C481R cell line was generated by CRISPR-HDR. BTK kinase and pathway activities were assayed by Western/Flow. Results: CRISPR screening results correlated highly between acala and pirto (Pearson's r=0.66), indicating shared pathways that impact response to both BTKi's. Collectively we identified 133 resistance and 57 sensitizing genes that span both known pathways (BCR/NFκB signaling) and novel modulators (autophagy, g-secretase, PBAF complex) of BTKi response. Systematic hit validation by single gene KO confirmed resistance phenotype for 6 genes: TNFAIP3 and TRAF3 negative regulators of canonical/non-canonical NFκB pathways; GRB2 adaptor protein for BCR signaling; PSEN1 in γ-secretase, PHF10 in PBAF complex; and SPOP substrate recognition protein for ubiquitin ligase. Interrogating the Project GENIE patient database identified loss-of-function mutations in these genes (8.6% CLL, 19.3% MCL, 25% MZL), supporting the hypothesis that they may be biomarkers for resistance to both BTKis. Sensitizing genes included CBL adaptor protein, PTPRCAP a CD45 tyrosine phosphatase, and RRAS2 small GTPase; KO of these genes did not alter TMD8 cell growth but enhanced the potency of both BTKis. Genomic analysis of BTKi-adaptive resistant cell lines identified causal BTK mutations, including nonclassical binding site mutation C481F for acala resistance and 2 novel mutations F442L and L460S for pirto resistance. C481F and C481R are kinase-inactive but cells still retain BCR signaling, pointing to BTK scaffolding activity. HCK is a proposed mediator of BTK scaffolding activity (Dhami et al., 2022; Yuan et al., 2022). However, while HCK activation was detected in C481R cells, HCK KO did not impair cell growth. In addition, no HCK activation was detected in C481F cells. Thus, scaffolding activity by C481F/R mutants does not depend on HCK. For the 2 pirto-resistant BTK mutations, F442L is kinase active but has reduced response to pirto, whereas L460S is kinase impaired. All our BTK mutant cell lines were still sensitive to the other BTKi, supporting a rationale for treatment sequencing between BTKi drugs to overcome resistance due to BTK mutations. Conclusions: We uncovered known and novel BTK resistance mutations and demonstrated BTK scaffolding activity independent of HCK, highlighting the need for other strategies to disrupt scaffolding-mediated BCR signaling. Beyond BTK mutations, our CRISPR KO screens illustrate a map of genetic modifiers of BTKi response and point to several potential resistance biomarkers for both acala and pirto. A better understanding of resistance mechanisms in the presence and absence of BTK mutations will help augment the use of BTKi treatments in patients.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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: aucune
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
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,031
Tête enseignante GPT0,337
Écart entre enseignants0,306 · 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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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