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Enregistrement 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 sur 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

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensHôpital de l'Enfant-Jésus
Organismes subventionnairesnon disponible
Mots-clésAzacitidineClinical endpointMyelodysplastic syndromesSubgroup analysisInternational Prognostic Scoring SystemPlaceboNeutropeniaPhases of clinical researchSurrogate endpointEltrombopag

Résumé

récupéré en direct d'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.

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)0,005
score de la tête « metaresearch » (Gemma)0,004
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 randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,007
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,022
Tête enseignante GPT0,310
Écart entre enseignants0,287 · 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 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

Citations5
Publié2025
Routes d'admission1
Résumé présentoui

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