Malignant ascites protect against TRAIL‐induced apoptosis by activating the PI3K/Akt pathway in human ovarian carcinoma cells
Bibliographic record
Abstract
Ascites are commonly found in ovarian cancer patients with advanced disease and are rich in cellular components and growth-promoting factors. The purpose of this study was to assess the effect of malignant ascites on TRAIL-induced apoptosis. We demonstrate that malignant ascites obtained from women with advanced ovarian cancer protect tumor cells from TRAIL- and FasL-induced apoptosis but not against cisplatin-induced apoptosis. This antiapoptotic effect was consistently found among different malignant ascites while nonmalignant peritoneal fluids or conditioned medium from TRAIL-resistant cells failed to protect tumor cells against TRAIL killing. Malignant ascites strongly inhibits TRAIL-induced caspase-3 activation and PARP cleavage. Furthermore, ascites activate PI3K and its downstream target Akt and increases c-FLIP(S) protein levels without affecting ERK phosphorylation status. The antiapoptotic effect of malignant ascites is abrogated by the inhibition of PI3K with LY294002, by a specific inhibitor of Akt and by Akt siRNA. We further show that the pro-survival effect of ascites can be suppressed by down-regulation of c-FLIP(S). Our data indicate that malignant effusions protect against TRAIL-induced apoptosis by activating the PI3K/Akt pathway. These findings demonstrate that the tumor microenvironment may contribute to the resistance of ovarian cancer cells to death receptor-induced apoptosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".