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Record W3213274702 · doi:10.1182/blood-2021-145639

Outcomes in Patients with Poor-Risk Cytogenetics with or without <i>TP53</i> Mutations Treated with Venetoclax Combined with Hypomethylating Agents

2021· article· en· W3213274702 on OpenAlexaff
Daniel A. Pollyea, Keith W. Pratz, Andrew H. Wei, Vinod Pullarkat, Brian A. Jonas, Christian Récher, Sunil Babu, Andre C. Schuh, Monique Dail, Yan Sun, Jalaja Potluri, Brenda Chyla, Courtney D. DiNardo

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsVenetoclaxHypomethylating agentMedicineDecitabineOncologyCytogeneticsInternal medicineLeukemiaGeneticsDNA methylationBiologyChronic lymphocytic leukemiaGeneChromosome

Abstract

fetched live from OpenAlex

Abstract Introduction Patients (pts) with acute myeloid leukemia (AML) with poor-risk cytogenetics at diagnosis have inadequate responses to standard treatment. Pre-clinical and clinical data show that TP53mutation (mut) is associated with poor outcomes with venetoclax (Ven). However, the clinical impact of AML with poor-risk cytogenetics with and without a TP53 mut treated with a hypomethylating agent (HMA) and Ven is unknown. Herein, we evaluated the efficacy and safety of the Ven + azacitidine (Aza) or HMA combination in pts with treatment-naïve AML with poor-risk cytogenetics with TP53wt or TP53mut. Methods Treatment-naïve pts with AML unfit for intensive chemotherapy either due to age ≥75 years or co-morbidities were enrolled. Data were pooled from an ongoing phase 3 study (NCT02993523) comparing pts treated with Ven+Aza or placebo (Pbo)+Aza, and a phase 1b study (NCT02203773), in which pts were treated with Ven and an HMA, either Aza or decitabine (Dec). Ven 400 mg daily, Aza 75 mg/m 2 (days 1-7), or Dec 20 mg/m 2 (days 1-5), were administered over 28-day cycles. Cytogenetic risk was determined locally pre-treatment per NCCN (2016) criteria with the following abnormalities associated with poor outcomes: complex (≥3 clonal chromosomal abnormalities), monosomal karyotype, -5,5q, -7,7q, 11q23-non t(9;11) inv(3), t(3;3), t(6;9), and t(9;22). TP53mut status was assessed from pre-treatment BM aspirates at screening and analyzed centrally using MyAML panel assays (covering all coding and non-coding exons, limit of detection 1%; Invivoscribe). Pts without a result either due to an inconclusive test or missing specimen were excluded from the analysis. Response assessments were performed per modified International Working Group response criteria for AML. Results The pooled analysis included 546 pts; 353 and 145 pts in the Ven+Aza and Aza groups, respectively, with poor-risk cytogenetics observed in 127 (36%; TP53wt, 50; TP53mut, 54) and 56 (39%; TP53wt, 22; TP53mut, 18) pts. There were 401 pts in the Ven+HMA group with poor-risk cytogenetics observed in 152 (38%, TP53wt, 61; TP53mut, 68). The median variant allele frequency for TP53 was 42.9% (range 6.5 ─ 93.4) for Ven+Aza and 42.9% (3.5 ─ 93.7) for Aza. Key pt demographics are shown in the Table. In pts with poor-risk cytogenetics +TP53wt who received Ven+Aza vs. Aza, the composite remission rates (CRc: complete remission [CR] + CR with incomplete hematologic remission [CRi]) were 70% vs. 23%, median duration of remission (DoR) was 18.37 (95% CI 9.63 ─ not evaluable [NE]) vs. 8.51 (1.05 ─ NE) months (mos), and median overall survival (OS) was 23.43 (95% CI 11.93 ─ NE) vs. 11.29 (4.90 ─ 12.78) mos (Figure A). Similar results were observed in pts treated with Ven+HMA: CRc rate was 74%, median DoR 16.72 (95% CI 8.08 ─ 20.99) mos, and median OS was 21.13 (95% CI 11.93 ─ 29.01) mos (Figure B).These poor-risk cytogenetics + TP53wt results were comparable to those of pts with intermediate-risk cytogenetics + TP53wt (Ven+Aza [n=166]: CRc 72%, DoR 21.91 mos, OS 19.15 mos; Ven+HMA [n=187]: CRc 72%, DoR 21.19 mos, OS 19.81 mos). In pts with poor-risk cytogenetics + TP53mut who received Ven+Aza or Aza, CRc rates were 41% vs. 17%, median DoR was 6.54 (95% CI 2.79 ─ 10.61) vs. 6.7 (6.7 ─ NE) mos, and median OS was 5.17 (95% CI 2.17 ─ 6.83) vs. 4.9 (2.14 ─ 9.3) mos. In pts treated with Ven+HMA, the CRc rate was 47%, median DoR was 6.54 (95% CI 3.58 ─ 12.09) mos, and median OS was 5.42 (95% CI 3.71 ─ 7.39) mos. In pts with poor-risk cytogenetics + TP53 wt, the common ≥ grade 3 (G3) adverse events (AEs) on Ven+Aza or Aza were thrombocytopenia (36%/36%), febrile neutropenia (32%/14%), anemia (26%/6%), neutropenia (24%/27%), and pneumonia (18%/23%). In pts with poor-risk cytogenetics + TP53 mut, the common ≥G3 AEs on Ven+Aza or Aza were also febrile neutropenia (43%/22%), thrombocytopenia (28%/28%), neutropenia (26%/17%), anemia (13%/32%), and pneumonia (26%/33%). In pts treated with Ven+HMA, the most common ≥G3 AEs in pts with poor-risk cytogenetics + TP53 wt or TP53 mut were similar. Conclusion Among pts with poor-risk cytogenetics +TP53wt, treatment with Ven+Aza or Ven+HMA was associated with higher remission rates and prolonged DoR and OS compared to pts treated with Aza alone. Outcomes were similar to intermediate-risk TP53wt Ven+Aza pts. In contrast, for similarly treated pts with poor-risk cytogenetics + TP53mut, improved response rates did not translate into improved DoR or OS.No new toxicities were noted. Figure 1 Figure 1. Disclosures Pollyea: Syndax: Honoraria; Takeda: Honoraria; Novartis: Consultancy, Honoraria; Foghorn: Honoraria; Genentech: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Jazz: Honoraria; Karyopharm: Consultancy, Honoraria; Kiadis: Honoraria; Amgen: Honoraria; Teva: Research Funding; Celgene: Honoraria; Syros: Consultancy, Honoraria; Bristol Myers Squibb: Honoraria; Astellas: Honoraria; Aprea: Honoraria; AbbVie: Consultancy, Honoraria, Research Funding. Pratz: Millenium: Research Funding; Novartis: Consultancy; Astellas: Consultancy, Honoraria, Research Funding; Agios: Consultancy; BMS: Consultancy, Honoraria; Cellgene: Consultancy, Honoraria; University of Pennsylvania: Current Employment; Abbvie: Consultancy, Honoraria, Research Funding. Wei: Novartis, Celgene, AbbVie, Servier, AstraZeneca, and Amgen: Research Funding; Novartis, Janssen, Amgen, Roche, Pfizer, Abbvie, Servier, BMS, Macrogenics, Agios, Gilead: Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria. Pullarkat: Amgen, Dova, and Novartis: Consultancy, Honoraria; AbbVie, Amgen, Genentech, Jazz Pharmaceuticals, Novartis, Pfizer, and Servier: Membership on an entity's Board of Directors or advisory committees. Jonas: 47, AbbVie, Accelerated Medical Diagnostics, Amgen, AROG, Celgene, Daiichi Sankyo, F. Hoffmann-La Roche, Forma, Genentech/Roche, Gilead, GlycoMimetics, Hanmi, Immune-Onc, Incyte, Jazz, Loxo Oncology, Pfizer, Pharmacyclics, Sigma Tau, Treadwell: Research Funding; AbbVie, BMS, Genentech, GlycoMimetics, Jazz, Pfizer, Takeda, Treadwell: Consultancy; AbbVie: Other: Travel reimbursement. Recher: BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Honoraria; Janssen: Honoraria; Jazz: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MaatPharma: Research Funding; Macrogenics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Babu: BMS: Consultancy, Honoraria, Other: Travel accommodations, expenses, Research Funding, Speakers Bureau; Novartis: Research Funding; Alexion: Consultancy, Honoraria, Other: Travel, accommodations, expenses, Speakers Bureau; Genentech/Roche: Other: Travel, accommodations, expenses, Research Funding; Janssen Oncology: Other: Travel, accommodations, expenses, Research Funding; Amgen, TG Therapeutics, AbbVie, Nektar, Sanofi, Argenx: Research Funding; Lily: Honoraria, Other: Travel, accommodations, expenses, Research Funding; Astra-Zeneca: Consultancy, Honoraria, Research Funding; Bayer, Castle Biosciences: Honoraria. Schuh: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlycoMimetics: Research Funding; Kite/Gilead: Research Funding; Jazz: Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Teva: Honoraria, Membership on an entity's Board of Directors or advisory committees. Dail: Genentech/Roche: Current Employment, Current equity holder in publicly-traded company. Sun: AbbVie: Current Employment. Potluri: AbbVie: Current Employment. Chyla: AbbVie: Current Employment, Current equity hol

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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 teacher head, not a consensus.

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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Citations25
Published2021
Admission routes1
Has abstractyes

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