Interaction Between Arsenic Trioxide and Human Primary Cells: Emphasis on Human Cells of Myeloid Origin
Bibliographic record
Abstract
Arsenic trioxide (As(2)O(3); ATO) is considered to be one of the most potent drugs in cancer chemotherapy and is highly effective in the treatment of acute promyelocytic leukemia (APL). It is well established that treatment of APL patients with ATO is associated with the disappearance of the PML-RARalpha fusion transcript, the characteristic APL gene product of the chromosomal translocation t(15;17). Although its mode of action is still not fully understood, ATO is known to induce cell apoptosis via generation of reactive oxygen species and activation of caspases. Several reports have indicated that ATO acts principally by inducing cell apoptosis not only in APL, but in a variety of non-APL cells including myeloma cells, chronic myeloid leukemia cells and cells of immune origin, including B or T lymphocytes, macrophages and, more recently, neutrophils. There is an increasing amount of data, including some from our laboratory, concerning the interaction between ATO and human primary cells. The focus of this review will be to cover the role of ATO in human immune primary cells with special emphasis on cells of myeloid origin.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".