Enhancement of cisplatin cytotoxicity by disulfiram involves activating transcription factor 3.
Bibliographic record
Abstract
BACKGROUND: Activating transcription factor 3 (ATF3), a stress-inducible gene, is a regulator of cisplatin-induced cytotoxicity, and enhancement of the ATF3 expression potentiates this cytotoxicity. MATERIALS AND METHODS: ATF3 expression and its binding to the transcription target CHOP were evaluated by western blot and chromatin immunoprecipitation (ChIP), respectively, in a panel of five cell lines (WI38, MCF7, PC3, A549). MTT assays were employed to assess the effects of many drugs, including disulfiram, on cell viability. RESULTS: ATF3 protein expression was up-regulated after cytotoxic doses of cisplatin treatment and it directly bound to the CHOP gene promoter, increasing this pro-apoptotic protein's expression. In a library screen of 1200 compounds, disulfiram, a dithiocarbamate drug, was identified as an enhancer of the cytotoxic effects of cisplatin. This increased cytotoxic action was synergistic and likely due to their ability to induce ATF3 independently. CONCLUSION: Understanding the role of ATF3 in cisplatin-induced cytotoxicity will lead to novel therapeutic approaches that could improve this drug's efficacy.
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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) | 0.001 | 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".