ECE-1 influences prostate cancer cell invasion via ET-1-mediated FAK phosphorylation and ET-1-independent mechanismsThis article is one of a selection of papers published in the two-part special issue entitled 20 Years of Endothelin Research.
Bibliographic record
Abstract
Plasma concentrations of the mitogenic peptide endothelin-1 (ET-1) are significantly elevated in men with metastatic prostate cancer (PC). ET-1 also contributes to the transition of hormonally regulated androgen-dependent PC to androgen-independent disease. ET-1 is generated from big-ET-1 by endothelin-converting enzyme (ECE-1). ECE-1 is present in PC cell lines and primary tissue and is elevated in primary malignant stromal cells compared with benign. siRNA or shRNA-mediated knockdown of endogenous ECE-1 in either the epithelial or stromal compartment significantly reduced PC cell (PC-3) invasion and migration. The re-addition of ET-1 only partially recovered the effect, suggesting ET-1-dependent and -independent functions for ECE-1 in pPC. The ET-1-independent effect of ECE-1 on PC invasion may be due to modulation of downstream signalling events. Addition of an ECE-1 specific inhibitor to PC-3 cells reduced phosphorylation of focal adhesion kinase (FAK), a signalling molecule known to play a role in PC. siRNA-mediated knockdown of ECE-1 resulted in a significant reduction in FAK phosphorylation. Accordingly, transient ECE-1 overexpression in PNT1-a cells increased FAK phosphorylation. In conclusion, ECE-1 influences PC cell invasion via both ET-1-mediated FAK phosphorylation and ET-1 independent mechanisms.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".