MicroRNA-222 promotes the proliferation and migration of cervical cancer cells
Bibliographic record
Abstract
PURPOSE: This study aimed to investigate the role of small non-coding RNA-222 (microRNA-222; miR-222) in the development of cervical cancer (CC). METHODS: Normal and CC specimens were obtained from 18 patients. HeLa and SiHa cells were grown in Dulbecco's modified Eagle's medium. RT-PCR, Western blot, migration assay, flow cytometry and immunofluorescence microscopy were used for analyses. RESULTS: When compared with normal cervical tissues, miR-222 was upregulated in human CC, and the extent of up-regulation was associated with the extent and depth of CC invasion. Expression of miR-222 was inversely related to the expression of phosphatase and tensin homolog (PTEN) and p27. The reduced the expression of PTEN and p27 by miR-222 in HeLa cells and SiHa cells was associated with increased proliferation and migration of CC cells. The expression of proteins (E-cadherin and paxillin) related to the proliferation and migration was also elevated. CONCLUSION: MiR-222 plays an important role in the tumorigenesis of CC, possibly by specifically down-regulating p27Kip1 and PTEN. Our findings suggest that miR-222 may serve as a new therapeutic target in CC.
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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 | 0.001 |
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".