Loss of Malignancy in Mouse Melanoma Cells by Long-Term Impact of Interferon-Beta In Vitro is Associated with N- and VE-Cadherins Suppression without Inhibition of Expression of EMT-Associated Twist and Slug Proteins
Bibliographic record
Abstract
Aim: To study the effect of long-term impact of mouse interferon-beta (IFN-b) on the behavior of mouse melanoma cells in vitro and in vivo and the expression of epithelial-mesenchymal transition (EMT) associated proteins. Materials and Methods: Studies were performed on mouse B16 melanoma cells as a tumor model (MM-4 cell line). Immunocytochemical and tumor cell biology approaches have been used in this study. Results: Long-time treatmentof MM-4 melanoma cellswith low-dose IFN-b (1/2 of IC50) leads to change their morphology, significant inhibition of cell growth and plating efficiency, suppression of cell migration and anchorage-independent growth in semisolid agar. Moreover, IFN-modification of melanoma cells is accompanied by the significant suppression of their malignancy in vivo: growth of tumor induced by IFN-treated cells has inhibited on 50% and growth of metastases - on 90%. Also, IFN-modification of MM-4 cells affects on the expression of proteins involved in cell cycle regulation and inhibits expression of some molecules of adhesion (N-, VE-cadherins), but not influence on the expression of EMT-associated Twist and Slug proteins and E-cadherin. Conclusions: Long-term impact of mouse IFN-beta in low dose on melanoma cells in vitro changes their phenotype and inhibits their proliferative potential, signs of malignancy in vitro, tumorigenicity and metastatic ability in vivo. Loss of malignancy is associated with inhibition of N- and VE-cadherins expression, but not associated with the change of expression and subcellular localization of E-cadherin and EMT transcription factors Twist and Slug.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".