MicroRNA-3666 inhibits lung cancer cell proliferation, migration, and invasiveness by targeting BPTF
Bibliographic record
Abstract
A previous study by our group indicted that overexpression of bromodomain PHD-finger transcription factor (BPTF) occurs in lung adenocarcinoma, and is closely associated with advanced clinical stage, higher numbers of metastatic lymph nodes, the occurrence of distant metastasis, low histological grade, and poor prognosis. Down-regulation of BPTF inhibited lung adenocarcinoma cell proliferation and promoted lung adenocarcinoma cell apoptosis. The purpose of this study is to identify valuable microRNAs (miRNAs) that target BPTF to modulate lung adenocarcinoma cell proliferation. In our results, we found that miR-3666 was notably reduced in lung adenocarcinoma tissues and cell lines. Using an miR-3666 mimic, we discovered that cell proliferation, migration, and invasiveness were suppressed by miR-3666 overexpression, but these were all enhanced when the expression of miR-3666 was reduced. Moreover, bioinformatics analysis using the TargetScan database and miRanda software suggested a putative target site in BPTF 3'-UTR. Furthermore, using a luciferase reporter assay, we verified that miR-3666 directly targets the 3'-UTR of BPTF. Using Western blot we discovered that overexpression of miR-3666 negatively regulates the protein expression of BPTF. Finally, we identified that the PI3K-AKT and epilthelial-mesenchymal transition (EMT) signaling pathways were inhibited by miR-3666 overexpression in lung cancer cells. In conclusion, our data indicate that miR-3666 could play an essential role in cell proliferation, migration, and invasiveness by targeting BPTF and partly inhibiting the PI3K-AKT and EMT signaling pathways in human lung cancers.
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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 | 0.000 | 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) | 0.000 | 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".