Prostaglandin E2 Synergistically Enhances Receptor Tyrosine Kinase-dependent Signaling System in Colon Cancer Cells
Bibliographic record
Abstract
Cyclooxygenase (COX)-generated prostaglandin E(2) (PGE(2)) plays critical roles in colorectal carcinogenesis. Recently, we have shown that PGE(2) and transforming growth factor-alpha synergistically induces the expression of amphiregulin (AR) in colon cancer cells (Shao, J., Evers, B. M., and Sheng, H. (2003) Cancer Res. 63, 5218-5223). In this study, we demonstrated synergistic actions of PGE(2) and the receptor tyrosine kinase signaling system in AR expression and in tumorigenic potential of colon cancer cells. Activation of the Ras/Raf/MAPK pathway induced AR transcription in colon cancer LS-174 cells that was enhanced by PGE(2) in a synergistic fashion. The cAMP-responsive element within the AR promoter was required for the synergistic activation of AR transcription. An Sp1 element was responsible for the basal transcription of AR and significantly enhanced the synergy between PGE(2) and the epidermal growth factor receptor (EGFR) signaling system. Furthermore, activation of both PGE(2) and EGFR signaling pathways synergistically promoted the growth and migration of colon cancer cells. Our results suggest that COX-2/PGE(2) may exert pro-oncogenic effects through synergistic induction of receptor tyrosine kinase-dependent signaling pathway, thus, provide a novel mechanism for the combinatorial treatment of colonic neoplasms targeting both COX-2/PGE(2) and the EGFR system that has demonstrated remarkable advantages.
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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) | 0.002 | 0.001 |
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".