Real-World Management of Patients with Newly Diagnosed Acute Myeloid Leukemia Treated with Venetoclax-Based Regimens: Results from the AML Real World Evidence (ARC) Initiative
Bibliographic record
Abstract
Abstract Introduction: Venetoclax (VEN) is a novel BCL-2 inhibitor indicated in the US for treatment of newly-diagnosed (ND) acute myeloid leukemia (AML) in adults ≥75 years or with comorbidities precluding use of intensive chemotherapy, in combination with azacitidine (AZA), decitabine (DEC), or low-dose cytarabine (LDAC). Despite widespread clinical use of VEN combinations in ND AML, real-world practice patterns are largely unknown. We set out to explore real-world outcomes and treatment paradigms in ND AML patients treated with VEN-based regimens. Methods: The AML Real world evidenCe (ARC) Initiative is a multicenter chart review study of adult pts with ND AML treated with VEN-based regimens and matched control pts (by age and ELN risk) from different academic sites in the US (10 sites) and Israel (4 sites), assessing real-world outcomes as well as VEN treatment practices. Interim descriptive results with data cutoff of 17 May 2021 are presented; data collection is ongoing, with a targeted sample size of over 250 VEN pts and further global expansion planned. Descriptive results are presented here on VEN-related treatment practices overall, and separately in the US and Israel. Results: At data cutoff, 133 VEN ND AML pts were included. The majority of pts were treated at US sites (102 pts, 76.7%). Regimens administered were VEN+AZA (106 pts, 79.7%), VEN+DEC (24 pts, 18.0%), and VEN+LDAC (3 pts, 2.3%). In Israel, all pts were treated with VEN+AZA (31 pts, 100.0%). Median age was 73.2 years, and the majority of pts (64.7%) had adverse ELN risk. Common genetic mutations observed included TP53 (30 pts, 22.7%), RUNX1 (21 pts,15.9%), IDH1/IDH2 (22 pts, 16.5%), NPM1 (15 pts, 11.4%), and FLT3 ITD (12 pts, 9.1%). Mean [median] duration of follow-up was 9.2 months [7.1] and duration of VEN-based treatment was 6.9 months [4.1]. 27.8% of pts had discontinued VEN. Among those who discontinued (37 pts), reasons for discontinuation included intolerance (13/37 pts, 35.1%), relapse (8/37 pts, 21.6%), and insufficient response (7/37 pts, 18.9%; results not shown). Unplanned dose interruptions during therapy were observed for 40 pts (30.1%) with common reasons including severe febrile neutropenia (13/40 pts, 32.5%), neutropenia (severe: 10/40 pts, 25.0%; non-severe: 5/40 pts, 12.5%), and patient request (6/40 pts, 15.0%). Venetoclax ramp-up was performed for 74.4% of pts overall and was more common in Israel (29 pts, 93.5%) than US sites (70 pts 68.6%). Among pts with venetoclax ramp-up performed, the majority received initial VEN treatment in the inpatient setting (US: 47/70 pts, 67.1%; Israel: 25/29 pts 86.2%), median starting and ending doses were 100mg and 400mg respectively, and median ramp-up duration was 3 days; which was similar in the US and Israel. Antifungal use during the first cycle, either prophylactically or in response to an infection, was observed in two-thirds of pts (88 pts, 66.2%) and was more common in the US (72 pts, 70.6%). Among pts with prophylactic antifungal use of a strong CYP3A4 inhibitor (33 pts, 24.8%), 42.4% of pts did not ramp-up and started and maintained a venetoclax dose of 100mg. At data cutoff, 120 pts had laboratory testing and bone marrow assessment results available in the full sample. Of these pts, timing of first bone marrow biopsy assessments varied, with 44.5% of pts having an assessment in their first cycle of venetoclax and 11.8% of pts having an assessment after the first two cycles. In Israel, a higher proportion of pts had a bone marrow assessment during their first cycle of venetoclax (18 pts, 58.1%). Out of those with response assessed (111 pts, 90.2%), 65.8% of pts achieved a response of CR, CRh, or CRi (US: 54/86 pts, 62.8%; Israel: 19/25 pts, 76.0%). Conclusions: The ongoing ARC Initiative provides insights on real-world treatment practices and management of ND AML pts treated with VEN-based regimens from academic sites. The ramp-up and dosing patterns appear consistent with label, with some variation. Delay in timing of bone marrow assessments may affect the assessment of time to response and post-response management in the real-world. Additional data collection in the ARC Initiative will provide more robust and valuable insights into VEN-based treatment practices and management in the real world. Figure 1 Figure 1. Disclosures Vachhani: 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; AbbVie: 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; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees. Wolach: AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; 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; Novartis: 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; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding. 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. Talati: Pfizer: Honoraria; AbbVie: Honoraria; BMS: Honoraria; Jazz: Speakers Bureau; Astellas: Speakers Bureau. Pollyea: Takeda: Consultancy; Daiichi Sankyo: Consultancy; Syndax: Consultancy; Karyopharm: Consultancy; Novartis: Consultancy; AbbVie: Consultancy, Research Funding; Agios: Consultancy; Glycomimetics: Other; Amgen: Consultancy; Janssen: Consultancy; Genentech: Consultancy; Celgene/BMS: Consultancy; Pfizer: Consultancy. Lai: Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: 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; Macrogenics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Speakers Bureau; Jazz Pharma: Speakers Bureau; AbbVie: 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. Moshe: Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Lectures; 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. Abedin: Agios: Honoraria; Actinium: Research Funding; AltruBio: Research Funding; Helsinn: Research Funding; Pfizer: Research Funding; Amgen: Honoraria; Astellas Pharma Inc.: 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: Other: Fees for lectures; Roche: Other: Fees for lectures; Novartis: Other: Fees for lectures; Takeda: Consultancy. Zuckerman: Cellect Biotechnology: Honoraria; Gilead Sciences: Honoraria, Speakers Bureau; Novartis: Honoraria; Janssen: Honoraria; BioSight Ltd: Honoraria; Orgenesis Inc.: Honoraria; AbbVie: Honoraria. Xavier: AbbVie: Consultancy, Speakers Bureau; Morphosys/Incyte: Speakers Bureau; Jansen/Pharmacyclics: Honoraria; ADC Therapeutics: Speakers Bureau; Epizyme: Speakers Bureau; Genentech: Honoraria; Kite/Gilead: Honoraria; Beigene: Speakers Bureau; Acrotec: Consultancy; Seattle Genetics: Speakers Bureau; AstraZeneca: Honoraria, Speakers Bureau; Verastem: Honoraria; Celgene/BMS: Speakers Bureau. Lee: Pin Therapeutics: 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; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: 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. Kye: AbbVie: Current Employment, Other: May hold equity. Burne: Analysis Group Inc: Current Employment, Other: Analysis Group Inc received consulting funds from AbbVie. 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: AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Arog: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Direct
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".