miR-140-5p targeted FGF9 and inhibited the cell growth of laryngeal squamous cell carcinoma
Bibliographic record
Abstract
Increasing evidence has suggested that microRNAs (miRNAs) play critical roles in the initiation and development of cancers. Here, we found that miR-140-5p was significantly downregulated in both laryngeal squamous cell carcinoma (LSCC) tissues and cell lines. Decreased expression of miR-140-5p was significantly associated with the metastasis of LSCC. Overexpression of miR-140-5p inhibited proliferation and induced apoptosis of LSCC cells. Mechanistically, the fibroblast growth factor 9 (FGF9) was identified as the target of miR-140-5p. miR-140-5p bound the 3'-untranslated region (3'-UTR) of FGF9 and suppressed the expression of FGF9 in LSCC cells. Additionally, the level of FGF9 was upregulated in LSCC tissues and negatively correlated with the expression of miR-140-5p. Restoration of FGF9 attenuated the suppressive role of miR-140-5p in regulating the growth of LSCC cells. Collectively, these results indicated that the tumor suppressive function of miR-140-5p in LSCC was partially exercised by modulating the expression of FGF9.
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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) | 0.001 | 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".