Cisplatin down-regulation of cellular Fas-associated death domain-like interleukin-1beta-converting enzyme-like inhibitory proteins to restore tumor necrosis factor-related apoptosis-inducing ligand-induced apoptosis in human melanoma cells.
Bibliographic record
Abstract
PURPOSE: Many melanoma cell lines and primary cultures are resistant to tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-induced apoptosis. In this study, we investigated the molecular mechanisms that control melanoma cell resistance and searched for chemotherapeutic drugs that could overcome the TRAIL resistance in melanoma cells. EXPERIMENTAL DESIGN: We examined 21 melanoma cell lines and 3 primary melanoma cultures for their sensitivity to TRAIL-induced apoptosis, and then tested cisplatin, chemptothecin, and etoposide for their synergistic effects on TRAIL sensitivity in resistant melanoma cells. RESULTS: Of 21 melanoma cell lines, 11 showed various degrees of sensitivity to TRAIL-induced apoptosis through caspase-8-initiated cleavage of caspase-3 and DNA fragmentation factor 45. The remaining cell lines and primary cultures were resistant to TRAIL, but cisplatin, chemptothecin, and etoposide sensitized the resistant cell lines and primary cultures to TRAIL-induced apoptosis, which also occurred through the caspase-8-initiated caspase cascade. Of the two TRAIL death receptors (DR4 and DR5), melanoma cells primarily expressed DR5 on cell surface. Cisplatin treatment had no effects on cell surface DR5 expression or intracellular expression of Fas-associated death domain and caspase-8. Instead, cisplatin treatment down-regulated intracellular expression of the short form of cellular Fas-associated death domain-like interleukin-1beta-converting enzyme-like inhibitory protein (c-FLIP) and inhibited phosphorylation of the long form of c-FLIP. CONCLUSIONS: The results presented here indicate that cisplatin inhibits c-FLIP protein expression and phosphorylation to restore TRAIL-induced caspase-8-initiated apoptosis in melanoma cells, thus providing a new combined therapeutic strategy for melanomas.
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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) | 0.001 | 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".