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Record W4389233901 · doi:10.1182/blood-2023-181792

Chip-AML22 Master Protocol: An Open-Label Clinical Trial in Newly Diagnosed Pediatric De Novo Acute Myeloid Leukemia (AML) Patients Including a Linked Phase II Trial with Quizartinib in <i>FLT3</i>-ITD/ <i>NPM1</i>wt Patients - a Study By the NOPHO-DB-SHIP Consortium

2023· article· en· W4389233901 on OpenAlexaff
Gertjan J.L. Kaspers, Noa E. Wijnen, Joost B. Koedijk, Sae Ishimaru, Renske Benedictus, Ellen C. Van Opstal, Harm van Tinteren, C. Michel Zwaan, Noha Biserna, Pamela Downs, Y. Vo Nhu Duong, Yasser Mostafa Kamel, Jonas Abrahamsson, Nira Arad‐Cohen, Nicole Bodmer, Luis Castillo, Daniel KL Cheuk, Vítor Costa, Barbara De Moerloose, José María Fernández Navarro, Linda Fogelstrand, Bianca F. Goemans, Henrik Hasle, Ólafur G. Jónsson, Zhanna Kovalova, Monica Cheng Munthe‐Kaas, Ulrika Norén‐Nyström, Sauli Palmu, Ramunė Pasaulienė, Kadri Saks, Anne Tierens, Dominik Turkiewicz, Cornelis Jan Pronk

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineGemtuzumab ozogamicinInternal medicineOncologyClinical trialPhases of clinical researchInduction chemotherapyTransplantationChemotherapySurgeryStem cellCD34CD33

Abstract

fetched live from OpenAlex

Background and Significance Pediatric AML is a heterogeneous disease with current rates for event-free survival (EFS) of 50-60% and for overall survival (OS) of 70-80%, for newly diagnosed patients. In patients with refractory and relapsed disease, and in subsets as defined by AML biology and treatment response, prognosis is dismal. To further improve EFS, the NOPHO-DB-SHIP consortium has initiated trial CHIP-AML22. Building on the successes achieved by the recent trial from this consortium (NOPHO-DBH AML-2012, preliminary data as per June 2023, n=878: 5-years pEFS 63%, 5-years pOS 78%), CHIP-AML22 will incorporate innovative elements, mainly the FLT3-inhibitor quizartinib (Vanflyta®) that was recently approved by the FDA and PMDA in combination with chemotherapy for the treatment of newly diagnosed adult AML patients with FLT3-ITD mutations, and gemtuzumab ozogamicin (GO, Mylotarg ®) that improved outcome in adult and pediatric AML when added to chemotherapy. CHIP-AML22 will maintain the approach of treatment-response driven risk-adapted treatment, intensified induction treatment for patients with ≥5% AML cells in the bone marrow (BM) after course 1, and consolidation with allogeneic stem cell transplantation (allo-SCT) for high-risk patients after the first consolidation course HAM. Study Design and Methods This clinical trial will enroll newly diagnosed de novo patients aged ≥1 day to ≤18 years to 2 randomized studies in the Master protocol, to the linked quizartinib trial, or the standard arm of the Master (Figure 1). Innovations include: (1) a phase II, single arm, open-label study on the safety, efficacy, pharmaco-kinetics and -dynamics of quizartinib in combination with chemotherapy, and as single-agent after allo-SCT, in FLT3-ITD/ NPM1wt AML; All patients will receive quizartinib monotherapy for 6 months post-SCT, except those that were negative for measurable residual disease determined with multiparameter flow cytometry (MFC-MRD) in BM1 and remained negative (study CHIP-AML22/Quizartinib); (2) a phase III, open-label randomization with gemtuzumab ozogamicin (GO; Mylotarg®) added to induction therapy MEC for pediatric CD33-positive newly diagnosed AML patients aimed at improved outcome (study Ri), (3) a phase III, open-label randomization with three (standard of care) versus two (investigational) courses of consolidation chemotherapy for standard-risk patients as non-inferiority trial (study Rc), and (4) refining risk-group adapted treatment, aimed at improved outcome. Novel high-risk categories are patients with RAM-phenotype and/or CBFA2T3::GLIS2, and patients with KMT2A-rearranged AML (excluding KMT2A::MLLT3) with ≥0.1% AML cells after course 1 in BM1. Patients with ≥15% AML cells on day 22 BM after course 1, or ≥0.1-5% AML cells by MFC-MRD after course 2 in BM2 (end-of-induction), or those with FLT3-ITD/NPM1wt remain to be high-risk, similar to AML-2012. Further, dexrazoxane is recommended to all patients before receiving daunorubicin or mitoxantrone, aiming to prevent late-onset cardiotoxicity. The quizartinib trial includes a safety run-in with a modified rolling-6 design and two dose levels with 6 evaluable patients per dose level. In study Ri, patients assigned to the experimental GO-arm will receive GO twice during induction with MEC at a dose of 3 mg/m 2 (max 5 mg) with an interim-analysis for superiority of any of these two arms. The investigational arm of the Rc randomization will omit HA 3E. Both the quizartinib trial and each randomization will also be compared to historical controls from the AML-2012 trial. CHIP-AML22 expects to enroll 130-140 patients per year and it will take 7-8 years to reach the total number of 905 patients needed to answer all study questions. Patients will be followed-up for at least 5 years from diagnosis and thus, the total study duration is expected to be 12-13 years. The Master protocol (EU CT: 2023-504999-25) and linked quizartinib trial (EU CT: 2023-505000-27-00) were approved by the Dutch Ethical Review Authority and as of July 2023, enrollment in the Master protocol including study Rc has started in The Netherlands. Study Ri and the linked quizartinib trial are expected to open in Q4 2023. At least 15 other countries with nearly 60 sites will participate in CHIP-AML22: Belgium, Denmark, Estonia, Finland, Hong Kong, Iceland, Israel, Latvia, Lithuania, Norway, Portugal, Spain, Sweden, Switzerland and Uruguay.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0210.005

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 head0.120
GPT teacher head0.421
Teacher spread0.302 · 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 designNon-randomized trial
Domainnot available
GenreProtocol

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

Citations4
Published2023
Admission routes1
Has abstractyes

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