Tobacco Smoke Stimulates the Transcription of Amphiregulin in Human Oral Epithelial Cells: Evidence of a Cyclic AMP-Responsive Element Binding Protein–Dependent Mechanism
Bibliographic record
Abstract
Activation of epidermal growth factor receptor (EGFR)-mediated signaling has been implicated in the pathogenesis of tobacco smoke-induced cancers. Recently, elevated levels of amphiregulin, a ligand of the EGFR, were found in the oral mucosa of smokers. The main objective of this study was to elucidate the mechanism by which tobacco smoke induces amphiregulin. Treatment of a nontumorigenic human oral epithelial cell line (MSK-Leuk1) with a saline extract of tobacco smoke stimulated amphiregulin (AR) transcription resulting in increased amounts of amphiregulin mRNA and protein. Tobacco smoke stimulated the cyclic AMP (cAMP)-->protein kinase A (PKA) pathway leading to increased cAMP-responsive element binding protein-dependent activation of AR transcription. These inductive effects of tobacco smoke were dependent on the aryl hydrocarbon receptor (AhR). In fact, alpha-naphthoflavone, an AhR antagonist, blocked tobacco smoke-mediated induction of binding of cAMP-responsive element binding protein to the AR promoter and thereby suppressed the induction of amphiregulin. Notably, treatment of MSK-Leuk1 cells with tobacco smoke or exogenous amphiregulin stimulated DNA synthesis. An inhibitor of EGFR tyrosine kinase or a neutralizing antibody to amphiregulin abrogated the increase in DNA synthesis mediated by tobacco smoke. Taken together, these findings suggest that tobacco smoke stimulated a signaling pathway comprised of AhR-->cAMP-->PKA resulting in enhanced AR transcription and increased DNA synthesis. The ability of tobacco smoke to induce amphiregulin and thereby enhance DNA synthesis is likely to contribute to the procarcinogenic effects of tobacco smoke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".