Evaluation of checkpoint kinase targeting therapy in Acute Myeloid Leukemia with complex karyotype
Bibliographic record
Abstract
There has been considerable interest in targeting cell cycle checkpoints particularly in emerging and alternative anticancer strategies. Here, we show that checkpoint abrogation by AZD7762, a potent and selective CHK1/2 kinase inhibitor enhances genotoxic treatment efficacy in immature KG1a leukemic cell line and in AML patient samples, particularly those with a complex karyotype, which display major genomic instability and chemoresistance. Furthermore, these data suggest that constitutive DNA-damage level might be useful markers to select AML patients susceptible to receive checkpoint inhibitor in combination with conventional chemotherapy. Moreover, this study demonstrates for the first time that AZD7762 inhibitor targets the CD34(+)CD38(-)CD123(+) primitive leukemic progenitors, which are responsible for the majority of AML patients relapse. Finally, CHK1 inhibition does not seem to affect clonogenic potential of normal hematopoietic progenitors.
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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) | 0.001 | 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) | 0.001 | 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".