Fas and Fas ligand expression and apoptosis in cisplatin-sensitive and -resistant human ovarian epithelial cancer cells.
Bibliographic record
Abstract
In the present study, we have used cultures of established cell lines of cisplatin (CDDP)-sensitive human ovarian epithelial tumours (OV2008 and A2780-s) and their resistant variants (C13* and A2780-cp, respectively) to assess the role of Fas/FasL system in the chemo-responsiveness of ovarian cancer cells to CDDP. CDDP was effective in inducing the expression of cell-associated Fas and FasL, sFasL and apoptosis in a concentration and time-dependent fashion in both OV2008 and A2780-s cell lines. In contrast, while CDDP was effective in increasing cell-associated Fas protein content in C13*, it failed to upregulate FasL and sFasL and induce apoptosis, irrespective of concentration and duration of CDDP treatment. In the resistant A2780-cp cells, neither Fas nor FasL upregulation and apoptosis were evident in the presence of CDDP. Addition of concentrated spent media from OV2008 after CDDP on C13* cells demonstrates a low level of apoptotic activity which is partially blocked by a Fas antagonistic Ab. Activation of the Fas signaling pathway, by addition to the cultures an agonistic Fas mAb, was effective in inducing apoptosis in both OV2008 and C13*. A significant interaction between CDDP and Fas agonist mAb was observed in the apoptotic response in OV2008 and C13* when cultured in the presence of both agents. (Abstract shortened by UMI.)
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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".