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Record 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 on 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

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsAzacitidineIDH2Myeloid leukemiaMedicineQuality of life (healthcare)Internal medicineMyeloidOncologyMutantBiologyIDH1DNA methylationGeneticsGene

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.263
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes1
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