The p53-stabilizing compound, CP-31398, does not enhance chemosensitivity in human melanoma cells.
Bibliographic record
Abstract
BACKGROUND: Malignant melanoma is a life-threatening disease with a poor prognosis due to its capacity for rapid metastasis and resistance to radio- and chemo-therapy. A pharmacological compound, CP-31398, was recently found to be able to stabilize wild-type p53 and rescue mutant p53 to enhance its transcriptional activity and suppress tumor growth in mice. Since many chemotherapeutic drugs induce p53-dependent apoptosis, we sought to investigate if CP-31398 would enhance chemosensitivity in human melanoma cells by stabilizing p53. MATERIALS AND METHODS: Human melanoma cell lines carrying either wild-type or mutant p53 were treated with CP-31398 and anticancer drugs, and the rate of cell survival or apoptosis was determined by sulforhodamine B, propidium iodide staining and flow cytometry. The p53 protein levels were determined by Western blotting. RESULTS: A non-toxic dose of CP-31398 elevated p53 protein levels in a wild-type (MMRU) and a mutant (Sk-mel-110) p53 melanoma cell line, but did not enhance cell death induced by camptothecin. Furthermore, pretreatment with CP-31398 did not enhance camptothecin-induced apoptosis or elevate p53 protein induction. In addition, pretreatment of MMRU with CP-31398 did not enhance cell death induced by cisplatin or vincristine. CONCLUSION: CP-31398 does not enhance chemosensitivity in human melanoma cells.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".