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Record 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 on 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

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsVenetoclaxMyeloid leukemiaMedicineInternal medicineOncologyLeukemiaIntensive care medicineChronic lymphocytic leukemia

Abstract

fetched live from 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

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.303
Teacher spread0.270 · 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 designObservational
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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Citations7
Published2021
Admission routes1
Has abstractyes

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