Circ_0000043 promotes the proliferation, migration, invasiveness, and epithelial–mesenchymal transition in breast cancer cells via the miR-136–Smad3 axis
Bibliographic record
Abstract
Circular RNAs (circRNAs) are tissue-specific RNAs with a more stable structure than linear RNAs, and their association with breast cancer (BC) is poorly understood. This study examined the biological effects of circ_0000043 in the progression of BC. In this study, expression of circ_0000043 in BC tissue samples was measured using quantitative real-time polymerase chain reaction. Immunohistochemistry and Western blot were used to detect the expression of Smad family member 3 (Smad3). CCK-8, wound healing, and Transwell assays were used to assess the effect of circ_0000043 on the proliferation, migration, and invasiveness of BC cells. Moreover, the binding relationships between circ_0000043 and miR-136, and miR-136 and Smad3 were detected by dual-luciferase reporter assay. Additionally, Western blot was used to detect the expressions of markers related to epithelial-mesenchymal transition, including E-cadherin, N-cadherin, and vimentin. Our results show that the expression of circ_0000043 is up-regulated in BC tissues and cell lines. The proliferation, migration, invasiveness, and epithelial-mesenchymal transition of BC cells were significantly inhibited by knockdown of circ_0000043, and overexpression of circ_0000043 had the opposite effects. Additionally, circ_0000043 up-regulate the expression of Smad3 by sponging miR-136. In conclusion, our study demonstrates that circ_0000043 promote the progression of BC via regulating the miR-136-Smad3 axis.
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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".