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Record W4414976055 · doi:10.1016/j.molmed.2025.09.006

BH3 mimetic therapies for CBFA2T3::GLIS2 pediatric acute megakaryoblastic leukemia

2025· article· en· W4414976055 on OpenAlexafffund
Caroline Capdevielle, Sarah St-Amand, Mathieu Neault, Tanja A. Grüber, Sonia Cellot, Frédérick A. Mallette

Bibliographic record

VenueTrends in Molecular Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersCanada Research ChairsFonds de Recherche du Québec - SantéCole FoundationCanadian Institutes of Health ResearchCancer Research SocietyLeukemia and Lymphoma Society
KeywordsAcute megakaryoblastic leukemiaDiseaseLeukemiaGeneMechanism (biology)Fusion protein

Abstract

fetched live from OpenAlex

Pediatric acute megakaryoblastic leukemia (AMKL) associated with the CBFA2T3::GLIS2 (CG2) gene fusion is distinctive by virtue of its aggressiveness and ability to transform normal cells in a single event. The dismal therapeutic response of children to this disease has stimulated comprehensive studies on the molecular mechanism of CG2-driven tumorigenesis. In this Opinion, we highlight various investigative strategies, used in parallel by multiple independent research teams, that point to a specific dependence of CG2-expressing leukemias on the B cell leukemia/lymphoma-2 (BCL-2) family of antiapoptotic proteins. We propose that this intrinsic feature renders these leukemias particularly vulnerable to BCL-2 homology 3 (BH3) mimetics.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0040.001

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 head0.012
GPT teacher head0.306
Teacher spread0.295 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes2
Has abstractno

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