Sonic Hedgehog–GLI Family Zinc Finger 1 Signaling Pathway Promotes the Growth and Migration of Pancreatic Cancer Cells by Regulating the Transcription of Eukaryotic Translation Initiation Factor 5A2
Bibliographic record
Abstract
OBJECTIVES: The Hh (hedgehog) signaling pathway is still waiting for further studies because its downstream molecular mechanism remains elusive. Because EIF5A2 (eukaryotic translation initiation factor 5A2) gene was up-regulated upon Gli1 (GLI family zinc finger 1) in pancreatic cancer (PC) cells, we speculated that this pathway might promote tumor progression through regulating EIF5A2. METHODS: We investigated regulation effect of Hh signaling pathway to EIF5A2 gene transcription by Gli1 knockdown or overexpression in PC cell lines first. Then, the regulation mechanism of Gli1 to EIF5A2 gene was studied at transcription level. Finally, we studied cancer-promoting effects of Gli1-dependent EIF5A2 in PC cells. RESULTS: The data showed that Gli1 up-regulated expression of EIF5A2 by promoting transcription via cis-acting elements in PC cells. Moreover, vimentin gene was up-regulated significantly by sonic hedgehog (SHh)/Gli1 expression increasing, and E-cadherin was significantly reduced. The EIF5A2 knockdown partially reversed cell proliferation and migration induced by artificial SHh overexpression and inhibited epithelial mesenchymal transition process in PC cells with SHh overexpression (P < 0.05). CONCLUSIONS: Our data establish a novel transcription mechanism of Gli1 to EIF5A2 gene in cis-regulatory manner in PC cells. Thus, EIF5A2 oncogene effect could be incorporated into cancer-promoting molecular network upon Hh signaling pathway.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".