Gonadotropins Regulate N-cadherin-mediated Human Ovarian Surface Epithelial Cell Survival at Both Post-translational and Transcriptional Levels through a Cyclic AMP/Protein Kinase A Pathway
Bibliographic record
Abstract
Gonadotropins are the major regulators of ovarian function and may be involved in the etiology of ovarian cancer. In this study, we report a new mechanism whereby gonadotropins regulate the survival of human ovarian surface epithelium (OSE), the tissue of origin of epithelial ovarian carcinomas. Our results indicate that disruption of N-cadherin-mediated cell-cell adhesion is an important molecular event in the apoptosis of human OSE. Treatment with surge serum concentrations of gonadotropins reduced the amount of N-cadherin with a concomitant induction of apoptosis, and this effect was mediated by a cAMP/protein kinase A pathway but not the ERK1/2 and protein kinase C cascades. We further demonstrated that activation of the gonadotropins/cAMP signaling pathway in human OSE led to a rapid down-regulation of N-cadherin protein level followed by a reduction at the level of N-cadherin mRNA, indicating that expression of N-cadherin was regulated by post-translational and transcriptional mechanisms. The former mechanism was mediated by increased turnover of N-cadherin protein and could be reversed by inhibition of proteasomal or matrix metalloproteinase (MMP-2) activity. On the other hand, at the transcriptional level, the addition of actinomycin D abolished the cAMP-mediated decrease in N-cadherin mRNA but did not change its stability. Inhibition of protein kinase A or expressing a dominant negative mutant of cAMP-response element-binding protein blocked this decrease of N-cadherin mRNA. Together, the combined operation of post-translational and transcriptional mechanisms suggests that regulation of N-cadherin is a crucial event and emphasizes the important role that N-cadherin has in controlling the survival capability of human OSE.
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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".