Cyclooxygenase-2–Dependent Regulation of E-Cadherin: Prostaglandin E2 Induces Transcriptional Repressors ZEB1 and Snail in Non–Small Cell Lung Cancer
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Bibliographic record
Abstract
Elevated tumor cyclooxygenase-2 (COX-2) expression is associated with tumor invasion, metastasis, and poor prognosis in non-small cell lung cancer (NSCLC). Here, we report that COX-2-dependent pathways contribute to the modulation of E-cadherin expression in NSCLC. First, whereas genetically modified COX-2-sense (COX-2-S) NSCLC cells expressed low E-cadherin and showed diminished capacity for cellular aggregation, genetic or pharmacologic inhibition of tumor COX-2 led to increased E-cadherin expression and resulted in augmented homotypic cellular aggregation among NSCLC cells in vitro. An inverse relationship between COX-2 and E-cadherin was shown in situ by double immunohistochemical staining of human lung adenocarcinoma tissue sections. Second, treatment of NSCLC cells with exogenous prostaglandin E(2) (PGE(2)) significantly decreased the expression of E-cadherin, whereas treatment of COX-2-S cells with celecoxib (1 mumol/L) led to increased E-cadherin expression. Third, the transcriptional suppressors of E-cadherin, ZEB1 and Snail, were up-regulated in COX-2-S cells or PGE(2)-treated NSCLC cells but decreased in COX-2-antisense cells. PGE(2) exposure led to enhanced ZEB1 and Snail binding at the chromatin level as determined by chromatin immunoprecipitation assays. Small interfering RNA-mediated knockdown of ZEB1 or Snail interrupted the capacity of PGE(2) to down-regulate E-cadherin. Fourth, an inverse relationship between E-cadherin and ZEB1 and a direct relationship between COX-2 and ZEB1 were shown by immunohistochemical staining of human lung adenocarcinoma tissue sections. These findings indicate that PGE(2), in autocrine or paracrine fashion, modulates transcriptional repressors of E-cadherin and thereby regulates COX-2-dependent E-cadherin expression in NSCLC. Thus, blocking PGE(2) production or activity may contribute to both prevention and treatment of NSCLC.
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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 | 0.000 |
| 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 it