Cytotoxicity of Esculetin Compared with Vinblastine and Paclitaxel in PC-3 Prostate Cancer Cells
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Metastatic prostate cancer is among the therapy-resistant human neoplasms. PC-3 is a commonly used experimental cell line that does not express androgen receptors. We compared the cytotoxicity of esculetin with that of vinblastine and paclitaxel on prostatic tumour PC-3 cells. METHODS: Cells were treated with either esculetin (100 or 250 μM), vinblastine (50 μM) or paclitaxel (100 or 200 μM) for 19 to 72 h. Cells were assessed for metabolic viability, membrane integrity, DNA fragmentation and cell cycle analysis. Apoptosis was checked with annexin and propidium iodide. RESULTS: Esculetin decreased the metabolic activity of PC-3 cells in a time- and concentration-dependent way. The metabolic activity of vinblastine- and paclitaxel-treated cells did not show time-dependence. Cells treated with 250 µM esculetin for 48 or 72 h showed apoptosis levels similar to those produced by 50 µM vinblastine at these incubation times or by 200 µM paclitaxel at 19 h. Vinblastine and paclitaxel produced cell cycle arrest in the G2/M phase after incubation for 19 h. In contrast, esculetin did not significantly affect the cell cycle. CONCLUSIONS: A differential action of esculetin on PC-3 prostate cells may be inferred. This may be relevant for novel therapies against resistant prostate cancer.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".