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Record W4417010229 · doi:10.1182/blood-2025-235

Subgroup analyses from the randomized, Phase 3 VERONA study of venetoclax with azacitidine (Ven+Aza) versus placebo with azacitidine (Pbo+Aza) in patients with treatment-naïve, intermediate and higher-risk Myelodysplastic Syndromes (HR MDS)

2025· article· en· W4417010229 on OpenAlexaff
Guillermo Garcia‐Manero, Uwe Platzbecker, Pierre Fenaux, G. Roboz, Chun Yew Fong, Marek Hus, Robert Delage, Andrew M. Brunner, Je‐Hwan Lee, Mehmet Turgut, Dominiek Mazure, Yin‐Hsun Feng, Yasushi Miyazaki, Zdeněk Kořı́stek, Sophie Dimicoli Salazar, Stefania Paolini, María Diez‐Campelo, David Lavie, Dominic Culligan, Grace Ku, Zhijian Xiao, Fang Fang, Maggie Headley, Jalaja Potluri, Amer M. Zeidan, Jacqueline S. Garcia

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHôpital de l'Enfant-Jésus
Fundersnot available
KeywordsAzacitidineClinical endpointMyelodysplastic syndromesSubgroup analysisInternational Prognostic Scoring SystemPlaceboNeutropeniaPhases of clinical researchSurrogate endpointEltrombopag

Abstract

fetched live from OpenAlex

Abstract Background: Patients with HR MDS face poor prognosis and are often ineligible for hematopoietic cell transplantation (HCT). After encouraging safety and efficacy in a phase 1b study (Garcia Blood 2025), Ven+Aza was evaluated against Pbo+Aza in patients with treatment-naïve HR MDS in the randomized, phase 3 VERONA study (NCT04401748). Primary analysis at 41.2 months median follow-up showed no difference in overall survival (OS) with Ven+Aza (22.18 mo) vs Pbo+Aza (21.68 mo; HR=0.908 [95% CI, 0.733–1.126]; P=.38), but modified overall response (mOR) was higher with Ven+Aza vs Pbo+Aza (76.2% vs 57.7%; nominal P<.0001; Garcia-Manero SOHO 2025). Here, we present additional outcomes and pre-planned subgroup analyses from VERONA with the aim of identifying patient subsets that may have received clinical benefit from Ven+Aza. Methods: VERONA enrolled patients aged ≥18 years with a diagnosis of MDS (WHO 2016), Revised International Prognostic Scoring System (IPSS-R) score >3 (intermediate, high, very high), ECOG PS 0–2, not immediately SCT eligible, and had no prior MDS therapy and no therapy-related MDS. Patients were randomized 1:1 to receive oral Ven 400 mg or Pbo once daily on Days 1–14 combined with IV or SC Aza 75 mg/m2 for 7 days in each 28-day cycle. Primary endpoint was OS. Patients were stratified by IPSS-R risk (very high, high, intermediate), region (North America, Europe, Japan, China, rest of world), and HCT eligibility. Pre-planned subgroup analyses were conducted for the primary endpoint of OS by unstratified Cox proportional hazards model and for mOR (sum of complete remission [CR], partial remission, and marrow CR [mCR]) by risk difference. Data cutoff was 4/10/2025. Results: A total of 509 patients were randomized (Ven+Aza, n=256; Pbo+Aza, n=253) and included in efficacy analysis. Of these, 255 patients in the Ven+Aza arm and 246 in the Pbo+Aza arm received ≥1 dose of study drug and were evaluable for safety. Baseline patient and disease characteristics were well balanced between arms (Ven+Aza vs Pbo+Aza): median age 72 vs 72 years, 66% vs 59% aged 18 to <75 years, 93% vs 92% ECOG PS 0–1, 7% vs 8% ECOG PS 2, 22% vs 22% North America, 78% vs 78% outside of North America. IPSS-R risk group was very high in 36% vs 32%, high in 37% vs 39%, and intermediate in 27% vs 28%. There was a balanced distribution of poor prognostic and frequently mutated genes between study arms, including TP53 (25% vs 19%), ASXL1 (30% vs 33%), RUNX1 (15% vs 24%), and EZH2 (3% vs 6%). Reasons for treatment discontinuation (Ven+Aza, n=231 [91%]; Pbo+Aza, n=234 [95%]): HCT (16% vs 8%), progressive disease (30% vs 45%), adverse event (20% vs 15%), and patient withdrawal (14% vs 17%). Overall, Ven was used as post-study therapy in 16% of patients (Ven+Aza, n=27 [11%]; Pbo+Aza, n=53 [21%]). Rate of AML transformation was 15% with Ven+Aza vs 20% with Pbo+Aza. There were no differences in OS across subgroups, though trends favoring Ven+Aza were observed in younger patients (18 to <75 years, HR=0.835 [95% CI, 0.630–1.107]; ≥75 years, HR=1.160 [95% CI, 0.834–1.613]) and those with excess blasts (≥5% to <20% blasts, HR=0.858 [95% CI, 0.676–1.090]; <5% blasts, HR=1.313 [95% CI, 0.795–2.169]). Subgroup analysis showed patients with TP53 mutation had an HR of 1.064 (95% CI, 0.670–1.688). Post-study HCT was received by 17% of patients (43/256) in the Ven+Aza arm and 13% (33/253) in the Pbo+Aza arm at a median of 5.6 months (range, 2.9–18.1) for those treated with Ven+Aza and 6.7 months (range, 2.2–33.9) for those treated with Pbo+Aza. The best response on study treatment prior to HCT were CR 25.6%, mCR 60.5%, and stable disease (SD) 14.0% in the Ven+Aza arm and CR 27.3%, mCR 33.3%, and SD 39.4% in the Pbo+Aza arm. Additional post-study therapy was given prior to HCT in 4/43 (9%) in the Ven+Aza arm and 10/33 (30%) in the Pbo+Aza arm. Subgroup analyses showed trend toward higher mOR with Ven+Aza vs Pbo+Aza in patients <75 years and those with very high IPSS-R, >5% blasts, and mutations in ASXL1, TP53, or RUNX1. mCR with hematologic improvement (mCR+HI) was higher with Ven+Aza vs Pbo+Aza (27.3% vs 18.2%). Conclusions: VERONA did not meet the primary endpoint of OS. A higher proportion of patients treated with Ven+Aza achieved mOR, mCR+HI, and numerically lower risk of AML transformation vs those treated with Pbo+Aza. Subgroup analyses showed favorable trends in response for Ven+Aza vs Pbo+Aza in younger patients, excess blasts, and select mutations.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.007
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.310
Teacher spread0.287 · 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 designRandomized 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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Citations5
Published2025
Admission routes1
Has abstractyes

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