Comparison of arsenic trioxide and ZIO-101 («Darinaparsin», S-dimethylarsino-glutathione) activity in various hematologic malignant cell lines
Bibliographic record
Abstract
Arsenic is a well-known carcinogen, but has also proved useful as a therapeutic agent. Administration of inorganic arsenic trioxide (ATO) to acute promyelocytic leukemia (APL) patients represents its best known usage as an anti-cancer agent. However, there is less evidence in the literature about the ability of other cancers to respond equally well to arsenic at clinically achievable doses. This thesis reports results obtained by testing a new organic arsenical, S-dimethylarsino-glutathione (ZIO-101) in various hematologic malignant cell lines in vitro. This novel compound appears to be more potent than ATO at mediating apoptosis in APL cell line NB4, in multiple myeloma cell line IM9, as well as in acute lymphoblastic leukemia cell line CCRF-CEM, in vitro. ZIO-101 is also able to induce apoptosis in an ATO-resistant cell line derived from NB4 cells, AR2. These data provide the first in vitro evidence that the organical arsenical ZIO-101 might have a broader thrapeutic spectrum than ATO.
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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 | 0.001 | 0.001 |
| 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".