Unbiased analysis of NUP98-KDM5A-induced murine leukemia reveals phenotypic heterogeneity recapitulating human disease subtypes
Bibliographic record
Abstract
NUP98-KDM5A (NK5) is an oncogenic fusion protein implicated in the development of several types of acute myeloid leukemia (AML) in humans, including rare pediatric acute megakaryoblastic leukemia (AMKL). NK5 expression in murine hematopoietic progenitor cells can induce AML in mice. However, the limited number of animals and phenotypic markers used in previous studies preclude the full characterization of the AML subtypes that develop. We used NK5-transduced hematopoietic progenitor cells from murine fetal liver to generate a large cohort of mice. We then assessed the expression of a panel of myeloid markers to characterize the lineage of leukemic blasts using flow cytometry. Finally, we used bioinformatic tools to perform an unbiased analysis of mouse-to-mouse heterogeneity in leukemic cellular phenotypes. We identified phenotypically distinct subgroups among the NK5 leukemias that were predominantly segregated based on the expression of the AMKL-associated marker CD41. Our findings indicate that NK5 expression in fetal liver cells causes different types of leukemia similar in proportion to that observed in pediatric patients. The heterogeneity and mixed phenotypes observed might explain the difficulty in accurately diagnosing leukemia in some patients carrying the NK5 fusion. In addition, this approach may enable the identification of the molecular or cellular basis of the diverse NK5-driven AML types.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".