Inhibition of Survivin Is Associated with Zoledronic Acid-induced Apoptosis of Prostate Cancer Cells.
Bibliographic record
Abstract
BACKGROUND/AIM: Evidence suggests that zoledronic acid (ZA) exerts direct antitumor effects on cancer cells but the underlying mechanisms of these actions are unknown. This study investigated the possible involvement of survivin in the antiproliferative effects of ZA in prostate cancer. MATERIALS AND METHODS: 3-(4,5-dimethyl-2-thiazol)-2,5-diphenyl-2H-tetrazolium bromide (MTT) dye reduction assay was used to assess cell viability and acridine orange/ethidium bromide double staining to analyze cell death. Human Apoptosis Array evaluated the expression of apoptosis-related proteins. Survivin protein was measured by western blot technique and miR-203 levels were quantified by quantitative real-time polymerase chain reaction. RESULTS: ZA induced inhibition of cell proliferation and apoptosis activation, with down-regulation of survivin protein. A negative regulation at gene expression level may be hypothesized because we observed a significant decrease of survivin mRNA level and an increase of miR-203 expression after ZA exposure. CONCLUSION: This study provides evidence that ZA may directly inhibit cancer cell proliferation, identifying survivin as one of its downstream targets.
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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".