The inhibitor of kappa B kinase-epsilon regulates MMP-3 expression levels and can promote lung metastasis
Bibliographic record
Abstract
The factors that determine the ability of metastatic tumor cells to expand and grow in specific secondary site(s) are not yet fully understood. Matrix metalloproteinases (MMP) were identified as potential regulators of the site-specificity of metastasis. We found that lung carcinoma cells ectopically expressing high levels of the receptor for the type I insulin like growth factor receptor (M27(R) cells) had a significant reduction in MMP-3 expression levels and this coincided with reduced metastasis to the lung. We used these cells to further investigate signaling pathways regulating MMP-3 expression and the role that MMP-3 plays in lung metastasis. We show that ectopic IκB kinase ɛ (IKKɛ) expression in these cells partly restored MMP-3 expression levels and also sensitized MMP-3 transcription to induction by phorbol 12-myristate 13-acetate (PMA). This increase in MMP-3 production was due to increased activation of several signal transduction mediators, including protein kinase C alpha, ERK2, Akt and the transcription factor p65. Furthermore, reconstitution of MMP-3 expression in M27(R) cells restored their ability to colonize the lung whereas silencing of MMP-3 in M27 cells reduced metastases. Collectively, our results implicate IKKɛ as a central regulator of PMA-induced cell signaling and MMP-3 expression and identify MMP-3 as an enabler of tumor cell expansion in the lung.Oncogenesis (2014) 3, e116; doi:10.1038/oncsis.2014.28; published online 18 August 2014.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".