Differential Dependence On Wnt Signaling Allows Chemical Mediated Eradication of Human Acute Leukemia without Affecting Normal Blood Stem Cells
Bibliographic record
Abstract
Abstract Abstract 3278 Specific targets of signaling pathways that control self-renewal and survival of acute myeloid leukemic stem cells (LSCs) vs. normal hematopoietic stem cells (HSCs) are largely unknown. Here, using a small molecule (CWP232228) derived from a parent compound that inhibits Wnt/TCF targets, we demonstrate reduction of primary human AML-blast growth and clonogenic capacity ex vivo, without effects on normal hematopoietic progenitors. Upon establishment of AML or normal hematopoiesis in immune-deficient recipients, in vivo administration of CWP232228 reduced leukemic disease and abolished LSC self-renewal, with no effect on normal HSC function. In vivo gene profiling and ex vivo molecular studies revealed that CWP232228 induces apoptosis and differentiation of AML-blasts via inhibition of Wnt/b-catenin signaling and activation of non-canonical Wnt signaling which phenocopies the effects of this small molecule. Our study reveals an in vivo differential dependence of AML on canonical vs. non-canonical Wnt signaling that allows therapeutic targeting of LSCs whilst sparing normal HSCs. Disclosures: Chung: Choongwae Pharma Corporation: Employment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".