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Enregistrement W3212999994 · doi:10.1182/blood-2021-147601

Health-Related Quality of Life (HRQoL) during Treatment with Enasidenib (ENA) Plus Azacitidine (AZA) in Patients with Newly Diagnosed Mutant <i>IDH2</i> (m <i>IDH2</i>) Acute Myeloid Leukemia (AML) Not Eligible for Intensive Chemotherapy (IC)

2021· article· en· W3212999994 sur OpenAlexaff
Courtney D. DiNardo, Hartmut Döhner, Amer M. Zeidan, Andre C. Schuh, Paresh Vyas, Eytan M. Stein, Andrew H. Wei, Stéphane de Botton, Clara Chen, Jennifer Lord‐Bessen, Patricia Martin‐Regueira, Frederik Lersch, Jing Gong, Shien Guo, Ling Shi, Pau Montesinos

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésAzacitidineIDH2Myeloid leukemiaMedicineQuality of life (healthcare)Internal medicineMyeloidOncologyMutantBiologyIDH1DNA methylationGeneticsGene

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: IDH2 mutations occur in 8-19% of patients (pts) with AML. ENA is an oral, selective IDH2 inhibitor and AZA is a hypomethylating agent. In a phase 1b/2 trial, combination therapy with ENA + SC AZA significantly improved overall response rate (ORR) and complete remission (CR) rate vs AZA monotherapy (AZA-only) (P = 0.0064 and P = 0.0001, respectively) in pts with newly diagnosed (ND), mutant-IDH2 (m IDH2) AML not eligible for IC (DiNardo, 2020). Injectable AZA has shown to maintain pt-reported health-related quality of life (HRQoL) in ND-AML (Dombret, 2014); the effect of ENA on HRQoL has not been reported. While morphologic responses are associated with improved HRQoL, combining active agents could increase toxicity, which could diminish HRQoL. OBJECTIVE: Assess pt-reported HRQoL outcomes during treatment (Tx) with ENA + AZA and AZA-only in the phase 1b/2 AG-221-AML-005 trial (NCT02677922). METHODS: Adult pts with ECOG PS ≤ 2 and intermediate- or poor-risk cytogenetics were enrolled. In the phase 2 portion, pts were randomized 2:1 to ENA 100-mg QD (continuous) + AZA 75 mg/m 2/day (d) SC × 7d, or to AZA-only, in repeated 28d cycles (C). Pt-reported HRQoL was assessed during Tx using the EORTC QLQ-C30 and EQ-5D-5L instruments, each completed at baseline (BL [C1D1]), on d1 of each Tx cycle, and end of Tx (EOT). The primary HRQoL measures were observed mean changes from BL (CFB) in 5 QLQ-C30 domains-Global Health status (GHS)/QoL, Physical Functioning (PF), Role Functioning (RF), Fatigue, and Dyspnea-each scored from 0-100, with higher scores indicating better QoL or functioning but worse symptomology. Changes in the remaining 10 QLQ-C30 domains, and in the EQ-5D-5L utility index (UI) score (derived via cross-walk to EQ-5D-3L based on UK population weights) and EQ-5D visual analogue scale (VAS) score (0-100) were secondary outcomes. Changes are reported for Tx cycles with ≥ 10 evaluable pts in each Tx arm. Clinically meaningful changes were defined as mean CFB of ≥ 10 points on any QLQ-C30 domain, ≥ 0.08 point on the EQ-5D-5L UI, and ≥ 7 points on the EQ-5D VAS. HRQoL-evaluable pts had an evaluable assessment (≥ 15 items on the QLQ-C30; all 5 EQ-5D-5L items; non-missing EQ-5D VAS) at BL and at ≥ 1 post-BL visit. RESULTS: The HRQoL-evaluable population comprised ~75% of pts randomized to either ENA+AZA (51/68) or AZA-only (25/33); 25 pts were not evaluable due to missing data at BL (n = 16) and/or no post-BL visit (n = 19). QLQ-C30 data were missing for ~20%-30% of eligible pts at almost all post-BL visits through C9D1 (the last visit with ≥ 10 pts in each Tx arm), and for ≥ 50% of pts at the EOT visit; similar rates were observed on the EQ-5D-5L. BL characteristics for HRQoL-evaluable pts were generally comparable between arms and similar to those of the ITT population. At BL, mean QLQ-C30 scores in each Tx arm were meaningfully worse than general population normative scores across the majority of QLQ-C30 domains, including all 5 domains of primary interest, and on the EQ-5D VAS. During early ENA+AZA Tx cycles, observed mean QLQ-C30 scores remained similar to BL in the GHS/QoL and Dyspnea domains, and were worsened from BL in the PF, RF, and Fatigue domains-but reached the threshold for meaningful worsening only in the RF domain and only at C3D1 (Figure). Domain scores then trended toward improvement over time, with clinically meaningful improvements from BL from C4-C9 in the Dyspnea domain, C5-C9 in the GHS/QoL and Fatigue domains (except at C7 for Fatigue), and from C8-C9 in the RF domain; mean scores also improved from BL in the PF domain but were not clinically meaningful at any visit. Similar trends were observed in the AZA-only arm but without the early worsening seen with ENA+AZA (Figure). There were no clinically meaningful or statistically significant differences between Tx arms in mean CFB for any of the primary QLQ-C30 domains through C9. In both Tx arms, mean score CFB in the secondary QLQ-C30 domains, EQ-5D-5L UI, and EQ-5D VAS followed similar trends of improvement over time among pts who remained on Tx. CONCLUSIONS: At BL, these pts with AML reported meaningfully worse HRQoL scores across the majority of the QLQ-C30 domains and the EQ-5D VAS compared with the general population, indicating substantial impairment in HRQoL, functioning, and symptoms. HRQoL scores generally worsened during early ENA+AZA Tx cycles, but then improved with continued Tx, with meaningful improvement across multiple measures during later Tx cycles. Figure 1 Figure 1. Disclosures DiNardo: Agios/Servier: Consultancy, Honoraria, Research Funding; Foghorn: Honoraria, Research Funding; AbbVie: Consultancy, Research Funding; Forma: Honoraria, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Celgene, a Bristol Myers Squibb company: Honoraria, Research Funding; Novartis: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Takeda: Honoraria; Notable Labs: Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees; ImmuneOnc: Honoraria, Research Funding. Dohner: Pfizer: Research Funding; Roche: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; GEMoaB: Honoraria; Janssen: Honoraria; Helsinn: Honoraria; Gilead: Honoraria; Berlin-Chemie: Honoraria; Astex Pharmaceuticals: Honoraria; Astellas: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Agios: Honoraria, Research Funding; AstraZeneca: Honoraria; Jazz Pharmaceuticals: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Oxford Biomedica: Honoraria; Abbvie: Honoraria, Research Funding. Zeidan: Agios: Consultancy; AstraZeneca: Consultancy; BioCryst: Other: Clinical Trial Committees; Daiichi Sankyo: Consultancy; Genentech: Consultancy; Cardiff Oncology: Consultancy, Other: Travel support, Research Funding; Incyte: Consultancy, Research Funding; Janssen: Consultancy; Novartis: Consultancy, Other: Clinical Trial Committees, Travel support, Research Funding; Pfizer: Other: Travel support, Research Funding; Amgen: Consultancy, Research Funding; Ionis: Consultancy; Gilead: Consultancy, Other: Clinical Trial Committees; Astellas: Consultancy; BMS: Consultancy, Other: Clinical Trial Committees, Research Funding; Geron: Other: Clinical Trial Committees; Acceleron: Consultancy, Research Funding; Loxo Oncology: Consultancy, Other: Clinical Trial Committees; Kura: Consultancy, Other: Clinical Trial Committees; Boehringer Ingelheim: Consultancy, Research Funding; Aprea: Consultancy, Research Funding; Jasper: Consultancy; Epizyme: Consultancy; Jazz: Consultancy; ADC Therapeutics: Research Funding; BeyondSpring: Consultancy; Astex: Research Funding; AbbVie: Consultancy, Other: Clinical Trial Committees, Research Funding. Schuh: Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlycoMimetics: Research Funding; Kite/Gilead: Research Funding; Jazz: Membership on an entity's Board of Directors or advisory committees; Amgen: 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; Teva: Honoraria, Membership on an entity's Board of Directors or advisory committees. Vyas: Gilead: Honoraria; Jazz: Honoraria; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Novartis: Honoraria; Takeda: Honoraria; Astellas: Consultancy, Honoraria; Pfizer: Honoraria; Daiichi Sankyo: Honoraria; Janssen: Honoraria; AbbVie: Consultancy, Honoraria. Stein: Janssen Pharmaceuticals: Consultancy; Abbvie: Consultancy; Gilead Sciences, Inc.: Consultancy; Blueprint Medicines: Consultancy; Foghorn Therapeutics: Consultancy; Jazz Pharmaceuticals: Consultancy; Bristol Myers Squibb: Consultancy; Celgene: Consultancy; PinotBio: Consultancy; Daiichi Sankyo: Consultancy; Syros Pharmaceuticals, Inc.: Consultancy; Genentech: Consultancy; Syndax Pharmaceuticals: Consultancy; Agios Pharmaceuticals, Inc: Consultancy; Astellas: Consultancy; Novartis: Consultancy. Wei: Novartis, Abbvie, Celgene/BMS: Speakers Bureau; Abbvie, Amgen, Astellas, AstraZeneca, Celgene/BMS, Genentech, Janssen, MacroGenics, Novartis, Pfizer, and Servier: Membership on an entity's Board of Directors or advisory committees; Former employee of Walter and Eliza Hall Institute: Patents & Royalties: Prof. Andrew Wei is a former employee of the Walter and Eliza Hall Institute and is eligible for a fraction of the royalty stream related to Venetoclax; Abbvie, Amgen, AstraZeneca, Celgene/BMS, Novartis, Servier and F. Hoffmann-La Roche: Research Funding; Abbvie, Amgen, Astellas, AstraZeneca, Celgene/BMS, Genentech, Janssen, MacroGenics, Novartis, Pfizer, and Servier: Honoraria; Servier: Consultancy. de Botton: Celgene: Consultancy; Agios: Consultancy, Honoraria; Forma: Consultancy, Honoraria; Astellas: Consultancy; Abbvie: Consultancy; Daiichi: Consultancy; Novartis: Consultancy; Jazz: Consultancy; Pfizer: Consultancy. Chen: Bristol Myers Squib

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 enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
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 savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 GPT0,263
Écart entre enseignants0,245 · 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
Publié2021
Routes d'admission1
Résumé présentoui

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