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Record W4362656958 · doi:10.3324/haematol.2022.282637

Clinical responses in pediatric patients with relapsed/refractory leukemia treated with azacitidine and venetoclax

2023· letter· en· W4362656958 on OpenAlexfundno aff
Lisa M Niswander, Perry Chung, Caroline Diorio, Sarah K. Tasian

Bibliographic record

VenueHaematologica · 2023
Typeletter
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentChildren's Hospital of PhiladelphiaCanadian Institutes of Health ResearchLeukemia and Lymphoma SocietyAmerican Society of HematologyV Foundation for Cancer ResearchNational Cancer InstituteNational Institutes of HealthConquer Cancer FoundationU.S. Department of Defense
KeywordsVenetoclaxAzacitidineMedicineRefractory (planetary science)LeukemiaOncologyInternal medicinePediatricsGeneticsBiologyChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Clinical responses in pediatric patients with relapsed/refractory leukemia treated with azacitidine and venetoclax Despite optimization and escalation of risk-based chemotherapy regimens, children with relapsed or chemotherapyrefractory acute leukemias, particularly acute myeloid leukemia (AML), remain difficult to cure.1,2 Traditional intensive cytotoxic chemotherapy salvage regimens require extended inpatient hospitalization due to infectious risk during severe myelosuppression and are accompanied by therapy-related morbidity and deleterious impact upon quality-of-life.3,4 The combination of the hypomethylating agent azacitidine with venetoclax, an oral selective BH3mimetic inhibitor of the anti-apoptotic protein B-cell lymphoma 2 (BCL-2), is effective at remission induction in elderly or intensive induction chemotherapy-ineligible adults with previously-untreated AML and is Food and Drug Administration-approved for this indication.5,6 The recent VENAML phase I clinical trial demonstrated safety and activity of venetoclax combined with idarubicin and/or highdose cytarabine in children and adolescents/young adults (AYAs) with relapsed refractory AML (clinicaltrials gov.Identifier: NCT03194932).7 However, clinical experience with the azacitidine/venetoclax regimen in children has been limited to small case series.8,9 Herein, we report clinical characteristics and outcomes of 37 pediatric patients with relapsed/refractory acute leukemias treated at our institution with commercially-available azacitidine/venetoclax therapy.We analyzed data from patients aged 0-21 years with multiply-relapsed/refractory acute lymphoblastic leukemia (ALL), AML, or mixed-phenotype acute leukemia (MPAL) treated with azacitidine/venetoclax without or with the CD33 antibody-drug conjugate gemtuzumab ozogamicin (GO) at the Children's Hospital of Philadelphia from January 1 st , 2018 to March 31 st , 2022.Institutional Review Board exemption was obtained for retrospective chart review.Clinical data were abstracted from electronic medical records on baseline patient demographics, leukemia-associated immunophenotyping and genetic characteristics, therapy administration, clinical response, and post-azacitidine/venetoclax outcomes with clinical follow-up through June 30, 2022.Azacitidine 100 mg/m 2 daily was given intravenously on days 1-5 of each 28-day cycle.Venetoclax was given once daily as oral tablets (swallowed intact or crushed) with 3day 'ramp-up' dosing during cycle 1 to minimize tumor lysis syndrome (TLS) risk with body surface area-adjusted adult exposure-equivalent dosing (AED) of 200 mg (day 1),

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)0.000
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.040
GPT teacher head0.312
Teacher spread0.272 · 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".

Quick stats

Citations22
Published2023
Admission routes1
Has abstractyes

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