MiR-129-5p suppresses gastric cancer cell invasion and proliferation by inhibiting COL1A1
Bibliographic record
Abstract
Gastric cancer (GC) is one of the most lethal cancers worldwide. In this study, we aimed to explore the role of miR-129-5p, a newly identified miR-129 member, in GC cells as well as the potential mechanism of action. The results of reverse transcription - qualitative polymerase chain reaction (RT-qPCR) and Western Blot showed that miR-129 was downregulated in GC cells compared with normal ones. Using MTT, colony formation, wound healing assay, and a Transwell assay, we evaluated the proliferation, migration, and invasion abilities of transfected cells, and confirmed miR-129-5p as a tumor suppressor in GC. After a microarray analysis comparing different gene expressions in miR-129-5p transfected SGC-7901 cells, COL1A1 was selected for biggest fold-change and potential target of miR-129-5p predicted by TargetScan. Measured by RT-qPCR and Western blot, COL1A1 turned out to be upregulated in GC tissues and cells. We further confirmed the targeting relationship between miR-129-5p and COL1A1 by dual luciferase assay. By manipulating the expression of COL1A1 in SGC-7901 cells, cell proliferation, migration, and invasion were examined and the tumor-promoting function of COL1A1 was validated. Moreover, co-transfection of miR-129-5p mimics and COL1A1 attenuated the tumor-promoting effects induced by a single-transfection of COL1A1, and miR-129-5p inhibitor counteracted the tumor-suppressing effects of COL1A1 siRNA. Collectively, the data demonstrate the important functions of the miR-129-5p-COL1A1 axis in GC: miR-129-5p suppresses GC cell proliferation, migration, and invasion, by selectively inhibiting COL1A1. This study provides new therapeutic targets for the clinical treatment of GC.
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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".