Synergistic activity of histone deacetylase and proteasome inhibition against pancreatic and hepatocellular cancer cell lines.
Bibliographic record
Abstract
AIM: To determine the phenotypic effects of belinostat (bel) and bortezomib (bor) against pancreatic cancer (PC) and hepatocellular cancer (HCC) cell lines. MATERIALS AND METHODS: Antiproliferative effects were assessed using a sulforhodamine B assay. Synergy was evaluated using the Chou and Talalay method. Apoptosis was measured by caspase-3/-7 activity and PARP cleavage. Downstream effector proteins were detected via immunoblotting. Quantitative nuclear magnetic resonance (NMR)-based metabolomics analysis was performed. RESULTS: There were single-agent antiproliferative effects against PC and HCC cell lines; the combination of bel and bor (bel+bor) had a synergistic effect. There was up to a 45-fold induction of apoptosis over the control. Post-treatment cell death was associated with p21 up-regulation, more pronounced with treatment with bel+bor. Treatment with bel+bor enhanced hyperacetylation of histone H3 over single-agent bel. A metabolic signature was established for treatments with bor and bel+bor. CONCLUSION: The combination of bel+bor displayed significant antiproliferative activity against PC and HCC cell lines, with exhibiting synergistic antiproliferative and proapoptotic patterns even at suboptimal single-agent doses.
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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 | 0.000 | 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) | 0.000 | 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".