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Enregistrement W3213674163 · doi:10.1182/blood-2021-147731

Assessment of the Clonal Dynamics of Acquired Mutations in Patients (Pts) with Relapsed/Refractory Chronic Lymphocytic Leukemia (R/R CLL) Treated in the Randomized Phase 3 Murano Trial Supports Venetoclax-Rituximab (VenR) Fixed-Duration Combination Treatment (Tx)

2021· article· en· W3213674163 sur OpenAlexaff
John F. Seymour, Jenny Wu, Relja Popovic, Barbara Eichhorst, Peter Hillmen, Thomas J. Kipps, Anton W. Langerak, Carolyn Owen, Julie Dubois, Clemens Mellink, Anne-Marie Van Der Kevie-Kersemaekers, Fengjiao Dunbar, Yanwen Jiang, Brenda Chyla, Michelle Boyer, Maria Thadani‐Mulero, Marcus Lefebure, Rosemary Harrup, Arnon P. Kater

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxMedicineBendamustineChronic lymphocytic leukemiaInternal medicineOncologyVenMinimal residual diseaseTumor lysis syndromeRituximabKRASLenalidomideLeukemiaGastroenterologyLymphomaCancerMultiple myelomaChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: In the MURANO trial (NCT02005471), fixed-duration VenR (2 yrs Ven + R for the first 6 mo) improved survival and rates of undetectable minimal residual disease (MRD) over bendamustine (Benda)-R in pts with R/R CLL. Novel recurrent mutations in BCL2 and family genes (eg BAX and PMAIP1 [encoding Noxa]) have been linked to Ven resistance. We analyzed MRD+ samples from VenR-treated pts in MURANO to assess the nature and frequency of acquired mutations in BCL2 family genes (marker of emergent Ven resistance) and TP53 (may negatively impact response to re-Tx). We also analyzed the impact of these mutations on time to next CLL Tx (TTNT) and subsequent response. Methods: Pts included in this analysis received up to 2 yrs of VenR and had, at any time, ≥1 CLL cell per 100 leukocytes (high MRD+) in peripheral blood. Deep next generation sequencing (NGS) was performed without cell selection using a custom targeted NGS panel, encompassing 87 cell death related genes (coding regions and selected promoters). A CD19-enriched pre-Tx sample, analyzed by whole-exome sequencing, was available for all pts for comparison. Data cutoff was May 8, 2020, for the MURANO main study and Oct 13, 2020, for the substudy (where pts received next-line VenR following progression after initial VenR Tx). TTNT was calculated using the main study Ven completion/discontinuation date and the date of the first subsequent CLL Tx. Results: 107 samples from 42 pts, collected 21-42 mo post-Tx initiation, were evaluable. No BCL2 mutations were identified (limit of detection - variant allele frequency [VAF] 1%). Acquired BAX and PMAIP1 mutations were seen in 4 and 2 pts, respectively. Discordance between VAF and CLL MRD, and lack of proportionality in results with serial testing, suggested presence of BAX mutations in the non-CLL compartment in some pts, with further testing of sorted populations needed to clarify the source. All BAX mutations identified have been predicted to lead to loss of protein function, including 4 frameshift mutations. PMAIP1 mutations included a frameshift mutation (T86fs) and a mutation affecting gene splicing, both suggesting a loss-of-function effect. Nineteen TP53 mutations in 15/42 pts were observed across longitudinal samples (8/19 mutations in 6 pts present at baseline, 11/19 in 11 pts newly acquired, and 2 pts with both baseline and acquired mutations). Co-occurrence of TP53mut with BAXmut or PMAIP1mut was observed in 3/15 and 1/15 pts, respectively; based on VAF and assuming heterozygosity, these were likely in different clones. After Ven cessation, 28/42 (66.7%) had received an additional anti-CLL Tx by the cutoff; 19 pts received Ven-based regimens (15 in the substudy; 4 received other Ven-containing regimens per investigators' choice), 8 pts received ibrutinib (Ibr) monotherapy and 1 pt received Benda. Of the 19 pts who received Ven-based regimens (median 22.6 mo [range 11.9-38.1] post-main study end of Tx), 8 had TP53mut (5 acquired, 3 baseline), with 5/8 (63%) responding (complete response, 3 pts; partial response [PR], 2 pts). Six/11 pts (55%) with TP53-wild-type (WT) responded, all PRs. Two pts with TP53mut received Ibr as next Tx (one responded) vs 6 TP53-WT pts (all responded). The one pt treated with Benda without response had coexisting TP53mut and BAXmut. One patient with BAXmut received Ven re-Tx without response, while in pts with BAXmut and PMAIP1mut, responses to Ibr were 100% (2/2 pts) and 50% (1/2 pts), respectively (Table). No association was apparent between acquired TP53mut and TTNT, median 784 days (d; range 248-1051) vs 617 d (range 302-1142) in TP53-WT pts. Pts harboring BAXmut (n=5) had a shorter median TTNT (305 d; range 248-874) than BAX-WT pts (678 d; range 302-1142). Conclusion: No acquired BCL2 mutations were found in this analysis of pts from MURANO who received fixed-duration VenR Tx and subsequently manifest high MRD+. This suggests that fixed-duration Tx may reduce the propensity for selection of BCL2 resistance mutations, although confirmation using orthogonal methodology with higher sensitivity is required. Acquired TP53 mutations, noted in ~40% of pts, did not preclude response to subsequent Tx (primarily Ven-based regimens). Consistent with the TP53-independent mechanism of Ven, Ven re-Tx may be effective for pts with MRD+ disease who have relapsed following initial fixed-duration VenR Tx. More data are needed to better understand the significance of BAX or PMAIP1 mutations. Figure 1 Figure 1. Disclosures Seymour: Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Mei Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Morphosys: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sunesis: Honoraria, Membership on an entity's Board of Directors or advisory committees; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau. Wu: Roche/GNE: Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company; Genentech, Inc.: Current Employment. Popovic: AbbVie: Current Employment, Current equity holder in publicly-traded company. Eichhorst: Consultant Department I for Internal Medicine: Consultancy; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: Travel, accomodation, expenses, Research Funding, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees, Other: Travel, accomodation, expenses, Research Funding, Speakers Bureau; F. Hoffmann-La Roche Ltd: Membership on an entity's Board of Directors or advisory committees, Other: Travel, accomodation, expenses, Research Funding, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees, Other: Travel, accomodation, expenses, Research Funding, Speakers Bureau; BeiGene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Travel, accomodation, expenses, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Travel, accomodation, expenses, Speakers Bureau; Adaptive Biotechnologies: Speakers Bureau; Hexal: Speakers Bureau; ArQule: Membership on an entity's Board of Directors or advisory committees; Oxford Biomedica (UK): Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; University Hospital of Cologne: Current Employment. Hillmen: University of Leeds: Current Employment; Abbvie: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Gilead: Research Funding; Pharmacyclics: Honoraria, Research Funding; AstraZeneca: Honoraria; SOBI: Honoraria. Kipps: European Research Initiative on CLL (ERIC): Honoraria; DAVA Pharmaceuticals: Speakers Bureau; Bionest Partner: Other; Celgene: Consultancy, Honoraria, Other, Research Funding; Genetech: Honoraria, Other; Genentech-Roche: Consultancy; Gilead Sciences: Consultancy, Honoraria, Other, Speakers Bureau; Janssen: Consultancy, Honoraria, Other, Research Funding, Speakers Bureau; Roche: Honoraria, Other; MD Anderson Cancer Center: Research Funding; Velos: Research Funding; CRIM: Research Funding; Indy Hematology Review: Other; TG Therapeutics: Other; Verstem: Other, Speakers Bureau; University of California, San Diego: Current Employment; Pharmacyclics/AbbVie: Honoraria, Research Funding; Breast Cancer Research Foundation: Research Funding; SCOR - The Leukemia and Lymphoma Society: Research Funding; National Cancer Institute/NIH: Honoraria, Research Funding; DAVAOncology: Consultancy, Honoraria, Other; AbbVie: Consultancy, Honoraria, Other, Speakers Bureau; Oncternal Therapeutics, Inc.: Current holder of stock options in a privately-held company, Other: Stock or other ownership, Patents & Royalties: Cirmtuzumab was developed by Thomas J. Kipps in the Thomas J. Kipps laboratory and licensed by the University of California to Oncternal Therapeutics, Inc., which provided stock options and research funding to the Thomas J. Kipps laboratory., Research Funding; Genentech/Roche: Honoraria; Moores Cancer Center: Current Employment; MedImmune Inc: Research Funding; GlaxoSmithKline: Research Funding; Gilead Sciences, Inc.: Honoraria, Research Funding; Genentech, Inc.: Honoraria, Research Funding, Speakers Bureau; Pharmacyclics LLC, an Abbvie Company: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Celgene Corporation: Consultancy, Honoraria, Research Funding; Abbott Laboratories: Consultancy, Research Funding. Langerak: Janssen: Speakers Bureau; Gilead: Research Fundi

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)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
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 savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,011
Tête enseignante GPT0,296
Écart entre enseignants0,285 · 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'étudeEssai randomisé
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

Citations6
Publié2021
Routes d'admission1
Résumé présentoui

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