Dynamin 2 Inhibitors as Novel Therapeutic Agents Against Cervical Cancer Cells
Bibliographic record
Abstract
AIM: We investigated the feasibility of dynamin 2 as a potential treatment target in cervical cancer cells. MATERIALS AND METHODS: We performed tissue microarray for dynamin 2 expression in 208 patients with early cervical cancer and in vitro in HeLa cells with dynamin 2 inhibitors MiTMAB, OcTMAB, Dynasore, and DD-6. RESULTS: Tumor size greater than 2 cm or tumor invasion of more than half of the entire cervix was associated with expression of dynamin 2 compared to no expression (p=0.013, and p=0.045, respectively). All dynamin 2 inhibitors significantly reduced proliferation, increased apoptotic activity, and reduced matrix metallopeptidase 9 expression in HeLa cells. Dynasore and DD-6 reduced migration of HeLa cells on laminin 1-coated plates and DD-6 most strongly reduced migration performance on fibronectin-coated plates. CONCLUSION: Targeting dynamin 2 may be a promising new approach for the treatment of cervical 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) | 0.001 | 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".