p70 S6 Kinase Promotes Epithelial to Mesenchymal Transition through Snail Induction in Ovarian Cancer Cells
Bibliographic record
Abstract
p70 S6 kinase (p70(S6K)) is a downstream effector of phosphatidylinositol 3-kinase and is frequently activated in human ovarian cancer. Here we show that p70(S6K) functions in epithelial to mesenchymal transition (EMT) responsible for the acquisition of invasiveness during tumor progression. This tumorigenic activity is associated with the ability of p70(S6K) to repress E-cadherin through the up-regulation of Snail. p70(S6K) activation induced phenotypic changes consistent with EMT in ovarian cancer cells: The cells lost epithelial cell morphology, acquired fibroblast-like properties, and showed reduced intercellular adhesion. Western blot showed that p70(S6K) activation led to decreased expression of the epithelial marker E-cadherin and increased expression of mesenchymal markers N-cadherin and vimentin. Inhibition of p70(S6K) by a specific inhibitor or small interfering RNA reversed the shift of EMT markers. Importantly, p70(S6K) activation also stimulated the expression of Snail, a repressor of E-cadherin and an inducer of EMT, but not other family members such as Slug. This induction of Snail was regulated at multiple levels by increasing transcription, inhibiting protein degradation, and enhancing nuclear localization of Snail. RNA interference-mediated knockdown of Snail suppressed p70(S6K)-induced EMT, confirming that the effect was Snail specific. Furthermore, phospho (active)-p70(S6K) staining correlated with higher tumor grade. We also showed a significant positive correlation between p70(S6K) activation and Snail expression in ovarian cancer tissues. These results indicate that p70(S6K) may play a critical role in tumor progression in ovarian cancer through the induction of EMT. Targeting p70(S6K) may thus be a useful strategy to impede cancer cell invasion and metastasis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".