Tris (Dibenzylideneacetone) Dipalladium, a<i>N</i>-Myristoyltransferase-1 Inhibitor, Is Effective against Melanoma Growth<i>In vitro</i>and<i>In vivo</i>
Bibliographic record
Abstract
PURPOSE: Melanoma is a solid tumor that is notoriously resistant to chemotherapy, and its incidence is rapidly increasing. Recently, several signaling pathways have been shown to contribute to melanoma tumorigenesis, including constitutive activation of mitogen-activated protein kinase, Akt, and Stat-3. The activation of multiple pathways may account in part for the difficulty in treatment of melanoma. In a recent screen of compounds, we found that an organopalladium compound, Tris (dibenzylideneacetone) dipalladium (Tris DBA), showed significant antiproliferative activity against melanoma cells. Studies were carried out to determine the mechanism of action of Tris DBA. EXPERIMENTAL DESIGN: Tris DBA was tested on efficacy on proliferation of human and murine melanoma cells. To find the mechanism of action of Tris DBA, we did Western blot and gene array analyses. The ability of Tris DBA to block tumor growth in vivo was assessed. RESULTS: Tris DBA has activity against B16 murine and A375 human melanoma in vivo. Tris DBA inhibits several signaling pathways including activation of mitogen-activated protein kinase, Akt, Stat-3, and S6 kinase activation, suggesting an upstream target. Tris DBA was found to be a potent inhibitor of N-myristoyltransferase-1, which is required for optimal activity of membrane-based signaling molecules. Tris DBA showed potent antitumor activity in vivo against melanoma. CONCLUSION: Tris DBA is thus a novel inhibitor of N-myristoyltransferase-1 with significant antitumor activity and is well tolerated in vivo. Further preclinical evaluation of Tris DBA and related complexes is warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".