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Preliminary safety and efficacy of oral azacitidine (Oral-AZA) in patients (pts) with low-/Intermediate (Int)-risk myelodysplastic syndromes (MDS): Phase 2 results from the ASTREON trial.

2024· article· en· W4399519774 on OpenAlexaff
Guillermo Garcia‐Manero, Karen Yee, Francisca Hernández, Matteo Della Porta, Stefania Paolini, Seo-Yeon Ahn, Valeria Santini, Pierre Fenaux, Takahiro Suzuki, Mikkael A. Sekeres, Jun He, Jerry Li, Ronit Barkalifa, Carlos E. Vigil, Thomas Prébet, Daniel L. Menezes, Joseph W. Burnett, Rami S. Komrokji, Aristoteles Giagounidis

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineAzacitidineMyelodysplastic syndromesInternal medicineOncologyINTClinical trialBone marrow

Abstract

fetched live from OpenAlex

6509 Background: There is an unmet need for new treatment (tx) options in lower-risk MDS (LR-MDS) to address cytopenias and prevent progression to higher-risk MDS and acute myeloid leukemia. Here, we report safety and preliminary efficacy data from phase 2 of the ASTREON study, which evaluated 14-day Oral-AZA regimens in pts with Low-/Int-risk MDS. Methods: ASTREON is a phase 2/3, multicenter study evaluating safety and efficacy of Oral-AZA plus best supportive care (BSC) in pts with Low-/Int-risk MDS (NCT05469737). Phase 2 is an open-label, dose optimization study to determine the recommended phase 3 Oral-AZA dose. Eligible pts (≥ 18 years of age with Revised International Prognostic Scoring System [IPSS-R] Low-/Int-risk MDS and ≥ 1 cytopenia) were randomized 1:1 to receive Oral-AZA 200 mg or 300 mg QD for 14 d per 28-d cycle plus BSC. Primary endpoints are rates of adverse events (AEs) and complete remission (CR) within 6 cycles per International Working Group (IWG) 2006 criteria. Secondary endpoints include achievement of overall response (OR) (including CR, partial remission, marrow CR, hematologic improvement-erythroid response [HI-E], HI-platelet response, and HI-neutrophil response per IWG 2006 criteria); best OR; and OR duration. HI rates within 6 cycles were calculated by investigator assessment per IWG 2006 criteria for pts who received ≥ 75% of the cycle 1 dose and had ≥ 1 post-baseline (BL) efficacy assessment (modified intent-to-treat [mITT] population). Results: As of December 4, 2023, 47 pts were randomized and received ≥ 1 Oral-AZA dose (200 mg, n = 24; 300 mg, n = 23); 6 and 5 pts discontinued tx in the 200 mg and 300 mg arms. The median (range) tx durations were 24.1 (12.1–34.1) and 24.7 (7.7–39.1) wk for the 200 mg and 300 mg arms, respectively. IPSS-R scores and RBC transfusion burden at BL were balanced between tx arms. Most pts (42/47 [89.4%]) had prior MDS tx, including but not limited to erythropoiesis-stimulating agents, lenalidomide, luspatercept, and imetelstat. AE rates were similar between arms: 11/24 (45.8%) vs 12/23 (52.2%) pts in the 200 mg vs 300 mg arms reported ≥ 1 tx-related grade 3 or 4 tx-emergent AE. The most common tx-related AEs in both arms were hematologic and gastrointestinal. Tx-related serious AEs occurred in 1/24 and 3/23 pts in the 200 mg and 300 mg arms, respectively. One death occurred in the 300 mg arm and was considered tx-related. In the mITT population, 8/22 and 7/21 pts achieved any HI in the 200 mg and 300 mg arms, respectively. Six pts in each dose group achieved HI-E. Among mITT pts with anemia at BL, 6/19 (31.6%) pts in the 200 mg and 5/18 (27.8%) pts in the 300 mg arm achieved HI-E. Updated results will be presented. Conclusions: The safety of Oral-AZA 200 mg and 300 mg was consistent with the known Oral-AZA safety profile. Preliminary efficacy data support continued evaluation of Oral-AZA in LR-MDS. Clinical trial information: NCT05469737 .

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.057
GPT teacher head0.420
Teacher spread0.364 · 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 designNon-randomized trial
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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Citations2
Published2024
Admission routes1
Has abstractyes

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