MicroRNA-1298-5p inhibits cell proliferation and the invasiveness of bladder cancer cells via down-regulation of connexin 43
Bibliographic record
Abstract
MicroRNA (miR)-1298 is widely down-regulated in a variety of malignant tumors, which facilitates cell proliferation, invasiveness, and migration. However, the specific biological function of miR-1298 in bladder cancer (BC) is still unknown. Connexin 43 (Cx43) is often up-regulated in tumors. Identifying miRNAs that target Cx43 in the setting of BC will help to develop Cx43-based therapies for BC. In this study, the results demonstrated that the expression levels of miR-1298 and Cx43 were significantly down-regulated and up-regulated, respectively, in BC tissues. Overexpression of miR-1298 inhibited cell proliferation, migration, and invasiveness in two BC cell lines as determined using MTT assays, cell cycle assays, colony formation assays, Transwell assays, gelatin zymography, and Western blot. In addition, we found that miR-1298 decreased Cx43 expression by directly targeting the 3'-UTR. Further, we observed that the promotion of BC cell proliferation, migration, and invasiveness from Cx43 on could be partially attenuated by overexpressing miR-1298. Moreover, the protein expression of p-ERK was ameliorated after transfection with overexpressed-miR-1298. Knockdown of Cx43 reversed the promotion of cell migration and invasiveness due to decreased expression of miR-1298. All of the data from our study indicate that miR-1298 could be a diagnostic marker of BC and a potential therapeutic agent via inhibiting Cx43.
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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".