Pax-5 Inhibits Breast Cancer Proliferation Through MiR-215 Up-regulation
Bibliographic record
Abstract
BACKGROUND/AIM: In breast cancer, Pax-5 promotes pro-epithelial features and suppresses malignant cancer processes. However, the molecular mechanism of this antitumor activity remains largely unknown. This study aimed to identify the cellular roles of Pax-5-regulated miRNAs in breast cancer progression. MATERIALS AND METHODS: After transient transfection of Pax-5 in MDA-MB-231 breast cancer cells, Pax-5-regulated miRNA expression was examined by next-generation sequencing. The identified Pax-5-regulated miRNAs were then validated by qRT-PCR and examined for the roles they play in breast cancer cells. RESULTS: Pax-5 was shown to be an effective modulator of miR-215-5p and its target genes. MiR-215 inhibited cell proliferation and migration of breast cancer cells, but not cell invasion. More importantly, Pax-5-induced suppression of cancer cell proliferation and migration was found to be miR-215-dependent. Interestingly, miR-215 profiling in clinical tumor samples showed that miR-215 expression was lower in cancer tissues in comparison to healthy controls. CONCLUSION: Pax-5 reduces breast cancer proliferation and migration through up-regulation of the tumor suppressor miR-215. This result supports the use of miR-215 as a prognostic marker for breast cancer.
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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) | 0.002 | 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".