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Enregistrement W4389234641 · doi:10.1182/blood-2023-187651

Clonal Dynamics of Gene Mutations during Oral Azacitidine Maintenance Therapy in Patients with Acute Myeloid Leukemia (AML): Outcomes from the QUAZAR AML-001 Trial

2023· article· en· W4389234641 sur OpenAlexaff
Daniel L. Menezes, Manuel Ugidos Guerrero, Arnaud Amzallag, Wendy L. See, Alberto Risueño, Charalampos Kyriakopoulos, Rajasekhar N.V.S. Suragani, Barry Skikne, C.L. Beach, Thomas Prébet, Maria Teresa Voso, Andre C. Schuh, Gail J. Roboz, Hartmut Döhner, Andrew H. Wei, Anita K. Gandhi

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésAzacitidineInternal medicineMyeloid leukemiaMedicineOncologyMinimal residual diseaseLeukemiaMyeloidBone marrowGastroenterologyBiologyGeneDNA methylationGenetics

Résumé

récupéré en direct d'OpenAlex

Background: Acute myeloid leukemia (AML) is a genetically heterogeneous disease and despite some patients (pts) achieving remission with frontline intensive chemotherapy (IC), most eventually relapse. In the QUAZAR trial (NCT01757535), oral azacitidine (Oral-AZA) prolonged overall survival and relapse-free survival (RFS) vs placebo (PBO) in older pts with AML in remission post IC (Wei et al, N Engl J Med 2020). Here, we studied the molecular landscape and clonal dynamics of pts treated with Oral-AZA/PBO in the QUAZAR study. The mutational landscape for older patients with AML in remission after IC may be confounded by persistence of pre-leukemic (PL) or age-related clonal hematopoietic (CH) variants. The implications of these residual mutations on disease relapse and treatment (Tx) outcome are largely unknown. Aims: 1) characterize the mutational landscape from remission bone marrow at baseline (BL) prior to Oral-AZA maintenance (i.e., in remission post-IC); 2) determine the fate of variants over time and at relapse in the Oral-AZA vs PBO arms; 3) examine associations between mutational landscape and relapse risk between Tx arms. Methods: In QUAZAR, 472 pts (≥55 years) with AML with intermediate- or poor-risk cytogenetics in remission after IC (BL) were randomized 1:1 to Oral-AZA or PBO. Among pts who consented to biomarker analyses (n=310), targeted NGS (37 myeloid genes) was performed on bone marrow DNA at BL (Oral-AZA/PBO: n=165/145), cycle 6 (n=107/79) and relapse (n=83/77). Mean NGS coverage was 13K reads and median minimal detectable variant allele frequency (VAF) was 0.12% (range: 0.02-2.79). Clonal variants were categorized by the longitudinal association between VAF and blast percentage (slope of leukemic variants >0.1; PL/CHIP <0.1). RFS was computed from time of randomization to relapse (≥5% BM blasts) or death, estimated by Kaplan-Meier methods. Hazard ratios (HR) and 95% confidence intervals (CI) were obtained from Cox regression models. Nominal P values were derived from log-rank tests. Results: In the NGS cohort (n=310), median RFS (mRFS) for Oral-AZA vs PBO was 10.2 vs 4.7 months (mo), respectively. At BL, prior to maintenance Tx, 221 (71.3%) had detectable mutations, the most frequently occurring mutations (>5% of pts) were in DNMT3A (28.4%), TP53 (15.5%), IDH2 (12.3%), TET2 (11.9%), SRSF2 (11.0%), IDH1 (6.1%) and ASXL1 (5.5%). At BL, 110/310 (35.5%) pts had VAF >5%, potentially representing persistence of PL/CH variants in remission. Comparative analysis of all gene variants at BL and relapse revealed that some VAFs increased with blast frequency, while other variants remained largely static. Applying a variant classification algorithm, 97/258 pts had potential leukemic variants detected at BL. These involved DNMT3A (16.1%), SRSF2 (7.1%), TP53 (7.1%) and IDH2 (5.7%). PL/CH variants included DNMT3A (17.5%), TP53 (8%), IDH2 (5.7%) or TET2 (5.7%). TP53 was detected in 19.4% PL/CH variants (mean VAF 1.7%; range 0.2-13.4). Notably, when analyses were limited to potential leukemic variants at BL (<5% VAF), their presence was correlated with worse RFS (PBO: mRFS for 0, 1 or 2+ mutations was 6.1, 4.7 or 1.9 mo, respectively). The presence of ≥2 leukemic mutations was associated with shorter RFS only in PBO arm (mRFS vs <2 mutations: 1.9 vs 5.7 mo, P=0.02; Oral-AZA: 10.2 vs 10.2 mo). RFS favored Oral-AZA in pts with low mutational burden at BL (<2 mutations: mRFS 10.2 vs 5.7 mo [ P=0.003]; n=145 vs 122 [PBO]), and in a small subset of pts with higher mutational burden (≥2 mutations: mRFS 10.2 vs 1.9 mo [ P=0.008]; n=14 vs 13 [PBO]). Oral-AZA prolonged RFS vs PBO in pts across most mutational subtypes, when assessed for mutations that were deemed potentially leukemic (Figure). At relapse, the frequency of mutations, hotspots variants and co-mutations were comparable between Tx arms. Mutation-based pathway analysis indicated Ras pathway genes were enriched at relapse in PBO (28.6%) vs Oral-AZA arm (14.5%, P=0.03). Summary: In pts with AML in remission post IC, post-hoc analyses showed that Oral-AZA improved RFS vs PBO regardless of the mutational landscape at baseline. The spectrum of mutations at relapse was similar between Tx arms, suggesting that Oral-AZA maintenance prolongs remission without altering mutational heterogeneity.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
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 non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,018
Tête enseignante GPT0,275
Écart entre enseignants0,257 · 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 non 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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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