The role of integrin-linked kinase in melanoma cell migration, invasion, and tumor growth
Bibliographic record
Abstract
Melanoma is a life-threatening disease with a high mortality rate due to rapid metastasis. Currently, there is no effective treatment for metastatic melanoma. Integrin-linked kinase (ILK) is a serine/threonine kinase and has its role implicated in connecting cell-extracellular matrix interaction and growth factor signaling to cell survival, cell migration, invasion, anchorage-independent growth, angiogenesis, and epithelial-mesenchymal transition. However, the functional role of ILK in melanoma progression is not completely understood. We have previously shown that strong ILK expression was significantly associated with melanoma thickness. In this study, we further elucidate the role of ILK in melanoma cell migration, invasion, anchorage-independent growth, and tumor growth in vivo by specific ILK knockdown using small interfering RNA and short hairpin RNA. We found that ILK knockdown impeded melanoma cell migration, which was associated with reduced stress fiber formation, cell spreading, and cell adhesion. Furthermore, ILK knockdown decreased the invasion ability of melanoma cells and the formation of anchorage-independent colonies in soft agar. Moreover, ILK knockdown significantly impaired the growth of melanoma xenografts in severe combined immunodeficient mice. This study highlights the importance of ILK in melanoma progression and provides an attractive target for the treatment of melanoma.
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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) | 0.000 | 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".