Inhibition of acute lymphoblastic and myeloid leukemias by a novel kinase inhibitor
Bibliographic record
Abstract
In recent years, synthetic tyrosine kinase inhibitors have made a rapid transition from basic research to therapeutic application. These compounds represent a major clinical advance in the approach to cancer in their relative specificity of action and decreased toxicity. We report here the effects of a novel tyrosine kinase inhibitor CR4 that interferes with growth-promoting pathways to markedly inhibit the growth and survival of both Philadelphia-positive and -negative acute lymphoblastic leukemia (ALL) as well as acute myeloid leukemia (AML). While efficiently ablating leukemic cell growth, normal cell growth and differentiation remain unaffected by CR4. CR4 demonstrates an ability to inhibit the function of multiple growth-critical kinases and yet exhibits a low level of cytotoxicity. These findings suggest that CR4 may prove to be highly effective as a therapeutic agent.
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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) | 0.000 | 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".