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Enregistrement W3217612228 · doi:10.1182/blood-2021-151285

Comparative Effectiveness of Venetoclax Combinations Vs Other Therapies Among Patients with Newly Diagnosed Acute Myeloid Leukemia: Results from the AML Real World Evidence (ARC) Initiative

2021· article· en· W3217612228 sur OpenAlexaff
Jacqueline S. Garcia, Ofir Wolach, Pankit Vachhani, Joshua F. Zeidner, Chetasi Talati, Daniel A. Pollyea, Catherine Lai, Yakir Moshe, Sameem Abedin, David Lavie, Tsila Zuckerman, Marin Xavier, Sang Min Lee, Wesleigh Edwards, Evan Chen, Cat N. Bui, Anders Svensson, Rebecca Burne, Steve Kye, Jessica Maitland, Esprit Ma, Melissa Montez, Moshe Grunspan, Aaron D. Goldberg

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxMyeloid leukemiaMedicineInternal medicineOncologyLeukemiaIntensive care medicineChronic lymphocytic leukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Venetoclax (VEN) is a BCL-2 inhibitor FDA approved in combination with azacitidine (AZA), decitabine (DEC), or low-dose cytarabine (LDAC) for newly diagnosed (ND) acute myeloid leukemia (AML) in adults aged ≥75 or those with comorbidities precluding intensive chemotherapy. We explored real-world practices and clinical outcomes of patients (pts) treated with VEN-based vs. non-VEN-based regimens in the AML Real world evidenCe (ARC) Initiative. Methods: This multicenter chart review study includes adult pts with ND AML treated with VEN (VEN cohort) after 11 April 2016 matched to pts with non-VEN-based regimens (control cohort) after 15 May 2015 from 10 academic sites in the US and 4 in Israel. Pts were randomly selected and matched on age (<60; 60-74; ≥75) and ELN risk. Interim descriptive results (data cut: 17 May 2021) are presented; data collection is ongoing with a targeted sample of ≥500 matched pts. Response to therapy, as reported by physicians in the patient chart, hematopoietic cell transplantation (HCT) rate, and Kaplan-Meier (KM) estimates of overall survival (OS), event-free survival (EFS), and duration of response (DOR) were analyzed. Subgroups of pts aged <75 and with adverse ELN risk were analyzed separately. Results: Select results are shown in Table 1. 133 VEN and 133 control ND AML pts were included. Median age was 73 years (Range: 34-89) in the VEN cohort and 71 years (Range: 40-89) in the control cohort; 60.9% of matched pts were <75 (<75 subgroup; 81 VEN and 81 control). In both cohorts, 64.7% of pts had adverse ELN risk. VEN pts received VEN+AZA (106 pts, 79.7%), VEN+DEC (24 pts, 18.0%), or VEN+LDAC (3 pts, 2.3%). In the control cohort, 37.6% of pts received low-intensity regimens (largely DEC [19.5%] and AZA [14.3%]) and 62.4% received high-intensity regimens (e.g., cytarabine+daunorubicin [27.1%] and CPX-351 [15.8%]), with a higher proportion of pts on high-intensity regimens in the <75 subgroup (85.2%) and a lower proportion in the adverse-risk subgroup (54.7%). IDH1/IDH2 mutations were present in 16.5% and 15.8% of pts in the VEN and control cohorts, respectively, and NPM1 mutations were present in 11.4% and 11.8% of pts. Across subgroups, TP53 mutation was present in higher proportions of VEN pts compared to control. The mean duration of follow-up was 9.2 months in the VEN cohort and 14.6 months in the control cohort and the mean duration of treatment was 6.9 months and 4.3 months. Composite complete remission (CCR: CR+CRi) rate was 60.4% in the VEN cohort and 50.0% in the control cohort and rate of MLFS was 7.2% and 3.4%, respectively; among the pts who achieved a response (CR, CRi, CRh, or MLFS; 81 VEN and 68 control pts), median time to best response was 1.7 months and 1.3 months, respectively. The 1-year KM DOR for patients who achieved CCR was 57.7% in the VEN cohort and 53.1% in the control cohort. After initial therapy, 5.3% of pts in the VEN cohort and 15.0% of pts in the control cohort were referred to HCT. The 1-year KM OS was 62.6% in the VEN cohort and 49.8% in the control cohort and the 1-year KM EFS was 41.4% and 31.5%. In the <75 subgroup (81 VEN and 81 control pts), outcomes were similar between cohorts, despite a higher proportion of pts with comorbidities in the VEN cohort (87.7%) than the control cohort (77.8%); rates of CCR were 61.2% in the VEN cohort and 57.1% in the control cohort; after initial chosen therapy, 7.4% and 22.2% of pts were referred to HCT in the VEN and control cohort, respectively. The 1-year KM OS was 55.4% in the VEN cohort and 55.5% in the control cohort, and the 1-year KM EFS was 38.4% and 38.1%. In the adverse-risk subgroup, rates of CCR were 50.7% in the VEN cohort and 37.8% in the control cohort; after initial chosen therapy, 4.7% and 10.5% of pts were referred to HCT in the VEN and control cohort, respectively. The 1-year KM OS was 51.1% in the VEN cohort and 39.8% in the control cohort and the 1-year KM EFS was 28.4% and 27.2%. Conclusions: The current analyses support real-world treatment effectiveness of VEN combinations and are consistent with data reported from clinical trials, despite the relatively short follow-up at the time of interim analyses. The outcomes, including OS at 1 year, for VEN combinations in ND AML pts appear similar to matched control pts, including the subgroup of pts <75 who largely received high-intensity regimens, and a lower proportion had comorbidities. Further analyses of matched pts are ongoing. Figure 1 Figure 1. Disclosures Garcia: AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; Pfizer: Research Funding; Prelude: Research Funding; AstraZeneca: Research Funding. Wolach: Neopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding. Vachhani: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Blueprint Medicines: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees. Talati: Jazz: Speakers Bureau; BMS: Honoraria; Pfizer: Honoraria; AbbVie: Honoraria; Astellas: Speakers Bureau. Pollyea: Karyopharm: Consultancy; Syndax: Consultancy; Amgen: Consultancy; AbbVie: Consultancy, Research Funding; Novartis: Consultancy; Genentech: Consultancy; Janssen: Consultancy; Celgene/BMS: Consultancy; Pfizer: Consultancy; Takeda: Consultancy; Daiichi Sankyo: Consultancy; Agios: Consultancy; Glycomimetics: Other. Lai: Jazz Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Speakers Bureau; Macrogenics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Speakers Bureau; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees. Moshe: Astellas: Membership on an entity's Board of Directors or advisory committees, Other: Lectures; AbbVie: Membership on an entity's Board of Directors or advisory committees, Other: Lectures; Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Lectures. Abedin: Astellas Pharma Inc.: Research Funding; Amgen: Honoraria; Pfizer: Research Funding; Actinium: Research Funding; AltruBio: Research Funding; Agios: Honoraria; Helsinn: Research Funding. Lavie: AbbVie: Membership on an entity's Board of Directors or advisory committees, Other: Fees for lectures; BMS: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Other: Fees for lectures; Roche: Other: Fees for lectures; Novartis: Other: Fees for lectures. Zuckerman: AbbVie: Honoraria; Orgenesis Inc.: Honoraria; BioSight Ltd: Honoraria; Janssen: Honoraria; Novartis: Honoraria; Gilead Sciences: Honoraria, Speakers Bureau; Cellect Biotechnology: Honoraria. Xavier: ADC Therapeutics: Speakers Bureau; Epizyme: Speakers Bureau; Celgene/BMS: Speakers Bureau; Seattle Genetics: Speakers Bureau; Morphosys/Incyte: Speakers Bureau; Beigene: Speakers Bureau; Acrotec: Consultancy; Genentech: Honoraria; Kite/Gilead: Honoraria; Jansen/Pharmacyclics: Honoraria; AstraZeneca: Honoraria, Speakers Bureau; Verastem: Honoraria; AbbVie: Consultancy, Speakers Bureau. Lee: AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Innate: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pin Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees. Bui: Abbvie: Current Employment, Other: May hold equity. Svensson: AbbVie: Current Employment, Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company. Burne: Analysis Group Inc: Current Employment, Other: Analysis Group Inc received consulting funds from AbbVie. Kye: AbbVie: Current Employment, Other: May hold equity. Maitland: Analysis Group Inc: Current Employment, Other: Analysis Group Inc received consulting funds from AbbVie. Ma: Genentech, Inc.: Current Employment, Other: May hold equity. Montez: Genentech, Inc: Current Employment, Other: May hold equity. Grunspan: AbbVie: Current Employment, Other: May hold equity. Goldberg: Aptose: C

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)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,033
Tête enseignante GPT0,303
Écart entre enseignants0,270 · 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'étudeObservationnel
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

Citations7
Publié2021
Routes d'admission1
Résumé présentoui

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