Flavopiridol Sensitivity of Cancer Cells Isolated from Ascites and Pleural Fluids
Bibliographic record
Abstract
PURPOSE: We examined the efficacy of flavopiridol, a cyclin-dependent kinase inhibitor that is undergoing clinical trials, on primary cancer cells isolated from the ascites or pleural fluids of patients with metastatic cancers. EXPERIMENTAL DESIGN: Metastasized cancer cells were isolated from the pleural fluids (n = 20) or ascites (n = 15) of patients, most of whom were refractory to chemotherapy. These primary cancer cells were used within 2 weeks of isolation without selecting for proliferative capacities. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide viability assay was used to characterize the response of these cancer cells to commonly used chemotherapeutic agents, and their response to flavopiridol was compared with rapidly dividing cultured cell lines. RESULTS: The primary cancer cells displayed phenotypes that were different from established cell lines; they had very low replication rates, dividing every 1 to 2 weeks, and underwent replicative senescence within five passages. These primary tumor cells retained their resistance to chemotherapeutic drugs exhibited by the respective patients but did not show cross-resistance to other agents. However, these cancer cells showed sensitivity to flavopiridol with an average LD50 of 50 nmol/L (range, 21.5-69 nmol/L), similar to the LD50 in established cell lines. Because senescent cells also showed similar sensitivity to flavopiridol, it suggests that the mechanism of action is not dependent on the activity of cyclin-dependent kinases that regulate the progression of the cell cycle. CONCLUSION: Using cancer cells isolated from the ascites or pleural fluids, this study shows the potential of flavopiridol against cancer cells that have developed resistance to conventional chemotherapeutic agents.
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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 | 0.001 |
| 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".