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Enregistrement W3213621509 · doi:10.1182/blood-2021-153170

A Phase I Study of the Combination of Venetoclax and Azacitidine in Relapse/Refractory Higher Risk Myelodysplastic Syndrome (MDS)

2021· article· en· W3213621509 sur OpenAlexaboutno aff
Sai Prasad Desikan, Guillermo Montalban‐Bravo, Maro Ohanian, Naval Daver, Musa Yılmaz, Marina Konopleva, Tapan M. Kadia, Sangeetha Venugopal, Heather Schneider, Kelly S. Chien, Rashmi Kanagal‐Shamanna, Hagop M. Kantarjian, Guillermo Garcia‐Manero

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxAzacitidineMedicineInternal medicineRegimenConcomitantMyelodysplastic syndromesOncologyRefractory (planetary science)CohortGastroenterologyLeukemiaBone marrow

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The prognosis of patients with HMA refractory MDS is poor with a median OS of 6 months. [Lancet Oncology Apr 2016] The combination of Azacitidine and the Bcl-2 inhibitor Venetoclax has shown significant activity in patients with previously untreated higher risk MDS (Garcia et. al ASH 2019). We hypothesize that addition of venetoclax to Azacitidine will improve outcomes of R/R higher risk MDS. Methods: The phase I study (NCT04550442) is enrolling patients aged ≥ 18 years with adequate organ function, higher risk MDS with ≥5% blasts, and R/R to HMA therapy. Patients who are R/R to HMA therapy include those who progressed on HMA after 4 cycles or those who had an initial response with subsequent relapse. Prior BCL2 inhibitor therapy and patients with lower risk disease per IPSS-R were excluded. Azacitidine was administered on Days 1-5 at a dose of 75mg/m 2 IV. Venetoclax was administered daily on days 1-14. Cytoreduction was permitted to lower the white count to ≤ 10,000/µl prior to initiation of venetoclax. A 3+3 study design was applied to the regimen as demonstrated in Table 1. Doses were adjusted based on toxicity and concomitant CYP3A4 inhibitors. Results: Ten patients have been enrolled in this study to date. Baseline characteristics are shown in Table 2. In this entire cohort, the median age was 77 years (range 67 - 81) with a median bone marrow blast of 9%. The entire cohort was enriched with adverse risk mutations such as ASXL1(60%), TP53(40%), and RUNX1(30%) with a median number of 3 mutations (range, 2-12). Median hemoglobin was 7.5mg/dL, median platelet count was 40.5K/µL, median absolute neutrophil count (ANC) of 1.05K/µL, Cr 0.98mg/dL , and Bili 0.5mg/dL. No new safety signals were observed. No tumor lysis syndrome was observed. The most common grade ≥ 3 adverse events were cytopenias, predominantly neutropenia (40%) and thrombocytopenia (20%) that did not warrant dose reduction of venetoclax. Among the 10 patients enrolled, 1 patient is too early for response assessment. Among the 9 evaluable patients, the overall response rate (ORR) was 56%(n=5) with 1 patient achieving complete remission (CR) and 4 patients with marrow CR. All 3 nonresponders harbored TP53 mutation of which 2 had therapy related MDS. Among the responders, the responses were durable with a median duration of response not reached. Among the 10 patients, the 5 responders remain on therapy, one non-responder was switched to a different therapy, one patient died on day 58 due to pneumonia, and 1 patient each died due to sepsis and refractory disease respectively. At a median follow up of 5.5 months, the median overall survival was 7.1 months (range 1-9.5 months) (Figure 1). The 4- and 8-week mortality was 0% and 10% (n=1) respectively Conclusion: This study in higher risk patients with R/R MDS suggests potential benefit with the addition of Venetoclax to HMA with a 55% overall response and an OS of 7.1 months. TP53 and complex karyotypes still confer poor prognosis despite the addition of Venetoclax. Figure 1 Figure 1. Disclosures Daver: Astellas: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Trovagene: Consultancy, Research Funding; ImmunoGen: Consultancy, Research Funding; Glycomimetics: Research Funding; Genentech: Consultancy, Research Funding; Novartis: Consultancy; Bristol Myers Squibb: Consultancy, Research Funding; Gilead Sciences, Inc.: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Hanmi: Research Funding; Sevier: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; FATE Therapeutics: Research Funding; Novimmune: Research Funding; Trillium: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy, Other: Data Monitoring Committee member; Dava Oncology (Arog): Consultancy; Celgene: Consultancy; Syndax: Consultancy; Shattuck Labs: Consultancy; Agios: Consultancy; Kite Pharmaceuticals: Consultancy; SOBI: Consultancy; STAR Therapeutics: Consultancy; Karyopharm: Research Funding; Newave: Research Funding. Yilmaz: Daiichi-Sankyo: Research Funding; Pfizer: Research Funding. Konopleva: AbbVie: Consultancy, Honoraria, Other: Grant Support, Research Funding; KisoJi: Research Funding; Sanofi: Other: grant support, Research Funding; Calithera: Other: grant support, Research Funding; Agios: Other: grant support, Research Funding; Rafael Pharmaceuticals: Other: grant support, Research Funding; Stemline Therapeutics: Research Funding; Ascentage: Other: grant support, Research Funding; Cellectis: Other: grant support; AstraZeneca: Other: grant support, Research Funding; Forty Seven: Other: grant support, Research Funding; Reata Pharmaceuticals: Current holder of stock options in a privately-held company, Patents & Royalties: intellectual property rights; Ablynx: Other: grant support, Research Funding; Eli Lilly: Patents & Royalties: intellectual property rights, Research Funding; Novartis: Other: research funding pending, Patents & Royalties: intellectual property rights; Genentech: Consultancy, Honoraria, Other: grant support, Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria, Other: grant support. Kadia: Genentech: Consultancy, Other: Grant/research support; Ascentage: Other; AstraZeneca: Other; Genfleet: Other; Astellas: Other; Cellonkos: Other; Sanofi-Aventis: Consultancy; Pulmotech: Other; Novartis: Consultancy; Cure: Speakers Bureau; Liberum: Consultancy; Pfizer: Consultancy, Other; Dalichi Sankyo: Consultancy; BMS: Other: Grant/research support; Jazz: Consultancy; Amgen: Other: Grant/research support; Aglos: Consultancy; AbbVie: Consultancy, Other: Grant/research support. Kantarjian: Astellas Health: Honoraria; Pfizer: Honoraria, Research Funding; Ipsen Pharmaceuticals: Honoraria; Jazz: Research Funding; Astra Zeneca: Honoraria; Aptitude Health: Honoraria; Novartis: Honoraria, Research Funding; Immunogen: Research Funding; Daiichi-Sankyo: Research Funding; BMS: Research Funding; Ascentage: Research Funding; Amgen: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; KAHR Medical Ltd: Honoraria; NOVA Research: Honoraria; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria.

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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,016
Tête enseignante GPT0,285
Écart entre enseignants0,269 · 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 non 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

Citations2
Publié2021
Routes d'admission1
Résumé présentoui

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