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Record W3205545929 · doi:10.1111/ejh.13717

Use of midostaurin in mixed phenotype acute leukemia with <i>FLT3</i> mutation: A case series

2021· article· en· W3205545929 on OpenAlexaff
Zoë Tremblay, Anna Wong, Anne‐Sophie Otis, Marie‐Anne Pépin, Nadia M. Bambace, Denis Soulières, Philippe Bouchard, Jean‐Philippe Adam

Bibliographic record

VenueEuropean Journal Of Haematology · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsMidostaurinMedicineDiscontinuationMyeloid leukemiaInternal medicineOncologyInduction chemotherapyLeukemiaChemotherapyImmunology

Abstract

fetched live from OpenAlex

Mixed phenotype acute leukemia (MPAL) is a rare type of acute leukemia where blasts present phenotypes from more than one lineage. A poor prognostic has been associated with this disease, and limited data are currently available to guide the choice of therapy. Regarding FLT3-positive MPAL, only one case treated with midostaurin has been published to date. Here, we report the successful use of midostaurin to treat three FLT3-positive MPAL T/myeloid and B/myeloid patients. Midostaurin was successfully added to intensive induction (two patients) and consolidation chemotherapy (three patients) without significant adverse events requiring a dose adjustment or discontinuation. The therapy received resulted in complete remission for two patients and complete remission with an incomplete hematologic recovery for the third. All patients proceeded to HSCT and stayed in remission after an extended follow-up respectively at 28, 31, and 11 months later. These results suggest that the addition of midostaurin during induction and consolidation therapy may represent a treatment option for FLT3-positive MPAL.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations10
Published2021
Admission routes1
Has abstractyes

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