Vascular endothelial cell growth factor-C small RNA interfering vector down-regulate COX-2, Bel-2 and induce apoptosis in human breast cancer cells
Bibliographic record
Abstract
Objective To clone the recombinant plasmid silencing vascular endothelial growth factor-C (VEGF-C) gene by small interfering RNA (siRNA) and observe its role in the expression of COX-2,Bcl-2 and proliferation in human breast cancer cells MDA-MB-435. Methods Breast cancer cells MDA-MBA-435 were transfected stably with the recombinant siRNA plasmid and negative control by positive liposomal methods.We examined the gene expression of VEGF-C,COX-2 by RT-PCR and protein expression of VEGF-C,COX-2 and Bcl-2 by Western blot to explore the effect of VEGF-C down-regulation.The influences on cell activity and apoptosis were studied by MTT and flow cytometry. Results The down-regulation of VEGF-C inhibited the expression of some other genes such as COX-2 and bcl-2.The apoptosis rate was 60% after transfection 72 hours,and grew much slower than control groups. Conclusions The results obtained explain the function of VEGF-C and the cross-talk of downstream tyrosine kinase.Silencing of VEGF-C expression using siRNA vectors inhibits cell activity and induces apoptosis in human breast cancer cells MDA-MBA-435,which is a potential approach for tumor gene therapy.
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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) | 0.002 | 0.001 |
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".