Loss of the wild-type allele contributes to myeloid expansion and disease aggressiveness in FLT3/ITD knockin mice
Bibliographic record
Abstract
Clinical evidence has shown that FLT3 internal tandem duplication (ITD) mutation confers poor prognosis in acute myeloid leukemia. Loss of the FLT3 wild-type (WT) allele is associated with even worse prognosis. We have previously reported that heterozygous FLT3(wt/ITD) "knockin" mice develop a slowly fatal myeloproliferative neoplasm (MPN). To study the roles of the WT FLT3 and ITD alleles in the development of MPNs, we generated FLT3/ITD homozygous (FLT3(ITD/ITD)) and hemizygous (FLT3(-/ITD)) mice. FLT3(-/ITD) mice, with the loss of WT allele, display a more severe MPN, as evidenced by even larger spleen, higher white blood cell counts, and shorter survival, compared with FLT3(wt/ITD) mice. Reintroduction of the WT FLT3 allele into FLT3(-/ITD) BM slowed the progression of MPN in recipient mice. FLT3(ITD/ITD) mice had an even severe MPN compared with the FLT3(-/ITD) and FLT3(wt/ITD) mice. Spontaneous leukemia developed in a small fraction of the FLT3(ITD/ITD) mice but was never observed in the FLT3(-/ITD) and FLT3(wt/ITD) mice. Our results suggest that loss of the WT allele contributes to the development of a more severe phenotype. Thus, the WT FLT3 allele seemingly functions as a tumor suppressor, attenuating the function of the FLT3/ITD allele in leukemia harboring FLT3/ITD mutations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".