Depletion of Endogenous Nitric Oxide Enhances Cisplatin-induced Apoptosis in a p53-dependent Manner in Melanoma Cell Lines
Bibliographic record
Abstract
The expression of inducible nitric-oxide synthase in melanoma tumor cells was recently shown to correlate strongly with poor patient survival after combination biochemotherapy (p<0.001). Furthermore, evidence suggests that nitric oxide, a reaction product of nitric oxide synthase, exhibits antiapoptotic activity in melanoma cells. We therefore hypothesized that nitric oxide antagonizes chemotherapy-induced apoptosis. Whether nitric oxide is capable of regulating cell growth and apoptotic responses to cisplatin treatment in melanoma cell lines was evaluated. We demonstrate herein that depletion of endogenously produced nitric oxide can inhibit melanoma proliferation and promote apoptosis. Moreover, our data indicate that the depletion of nitric oxide leads to changes in cell cycle regulation and enhances cisplatin-induced apoptosis in melanoma cells. Strikingly, we observed that the depletion of nitric oxide inhibits cisplatin-induced wild type p53 accumulation and p21(Waf1/Cip1/Sdi1) expression in melanoma cells. When cisplatin-induced p53 binding to the p21(Waf1/Cip1/Sdi1) promoter was examined, it was found that nitric oxide depletion significantly reduced the presence of p53-DNA complexes after cisplatin treatment. Furthermore, dominant negative inhibition of p53 activity enhanced cisplatin-induced apoptosis. Together, these data strongly suggest that endogenously produced nitric oxide is required for cisplatin-induced p53 activation and p21(Waf1/Cip1/Sdi1) expression, which can regulate melanoma sensitivity to cisplatin.
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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".