Vorinostat enhances protein stability of p27 and p21 through negative regulation of Skp2 and Cks1 in human breast cancer cells
Bibliographic record
Abstract
Vorinostat is a histone deacetylase inhibitor that blocks cancer cell proliferation through the regulation of cyclin-dependent kinase inhibitors. We, herein, examined the involvement of S-phase kinase-associated protein 2 (Skp2) and cyclin-dependent kinase subunit 1 (Cks1), the components of the SCFSkp2-Cks1 (Skp1/Cul1/F-box protein) ubiquitin ligase complex, in the regulation of p27 and p21 during vorinostat-induced growth arrest of MDA-MB-231 and MCF-7 human breast cancer cells. Vorinostat significantly reduced BrdU incorporation in MDA-MB-231 and MCF-7 cells, which was associated with increased p27 and p21 protein levels without concomitant induction of p27 mRNA. Vorinostat-induced accumulation of p27 and p21 proteins was inversely correlated with the mRNA and protein levels of Skp2 and Cks1. Cycloheximide chase analysis revealed that vorinostat increased the half-life of p27 and p21 proteins. The accumulation of p27 and p21 proteins was attenuated by forced expression of Skp2 and Cks1, which conferred resistance to the vorinostat-induced S-phase reduction. These results suggest that vorinostat-induced growth arrest may be in part due to the enhanced protein stability of p27 and p21 through the downregulation of Skp2 and Cks1.
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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".