MiR-4458 inhibits breast cancer cell growth, migration, and invasiveness by targeting CPSF4
Bibliographic record
Abstract
Numerous studies have reported that CPSF4 is over-expressed in a large percentage of human lung cancers, and CPSF4 has been identified as a potential oncogene of human lung tumor. Downregulation of CPSF4 inhibits the proliferation and promotes the apoptosis of lung adenocarcinoma cells. A previous study by our group also found overexpression of CPSF4 in breast cancer (BC), and was closely associated with a poor prognosis for the patient. This study investigates microRNAs (miRNAs) that target CPSF4 to modulate BC cell proliferation. We found that miR-4458 was noticeably reduced in BC tissues and cells. Using a miR-4458 mimic, we found that cell proliferation, migration, and invasiveness were suppressed by miR-4458 overexpression, and were enhanced by reducing the expression of miR-4458. Moreover, the results from bioinformatics analyses suggest a putative target site in the CPSF4 3′-UTR. Furthermore, using luciferase reporter assays and Western blotting, we verified that miR-4458 directly targets the 3′-UTR of CPSF4 and downregulates COX-2 and h-TERT, which are downstream target genes of CPSF4. Additionally, PI3K/AKT and ERK were shown to be inhibited by miR-4458 overexpression in BC cells. Moreover, miR-4458 suppresses BC cell growth in vivo. Consequently, these results suggest that the miR-4458–CPSF4–COX-2–hTERT axis might serve as a potential target for the treatment of BC patients.
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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".