Recent Advances in Characterization of Pre-Leukemic/Leukemic Stem Cells in Acute Myeloid Leukemia
Bibliographic record
Abstract
Acute myeloid leukemia (AML) is a heterogeneous disease organized as a hierarchy similar to normal hematopoiesis. It is maintained and progresses by self-renewing leukemia stem cells (LSCs) that are usually quiescent and resistant to current chemotherapies and thus, contribute to leukemia relapse. Recently, more ancestral pre-leukemic hematopoietic stem cells (HSCs) were identified, suggesting that accumulation of mutations occurs in self-renewing HSCs. The pre-leukemic/leukemic stem cell model proposes that a non-genetic mechanism in leukemic process, harmonized together with the genetic model and recently identified epigenetic dysregulations, contributes to leukemia heterogeneity and treatment resistance. Here we review the recent advances in characterization of AML LSCs, identification of pre-leukemic HSCs, and emerging concept of cell origin that contributes to AML relapse. These profound insights into AML biology have clinical importance and great implications for future development of new anti-AML therapies. Cell Mol Med Res. 2023;1(1):12-19 doi: https://doi.org/10.14740/cmmr18e
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".