Matrix stiffness regulates tumor cell intravasation through expression and ESRP1-mediated alternative splicing of MENA
Bibliographic record
Abstract
During intravasation, cancer cells cross the endothelial barrier and enter the circulation. Extracellular matrix stiffening has been correlated with tumor metastatic potential; however, little is known about the effects of matrix stiffness on intravasation. Here, we utilize in vitro systems, a mouse model, specimens from patients with breast cancer, and RNA expression profiles from The Cancer Genome Atlas Program (TCGA) to investigate the molecular mechanism by which matrix stiffening promotes tumor cell intravasation. Our data show that heightened matrix stiffness increases MENA expression, which promotes contractility and intravasation through focal adhesion kinase activity. Further, matrix stiffening decreases epithelial splicing regulatory protein 1 (ESRP1) expression, which triggers alternative splicing of MENA, decreases the expression of MENA 11a , and enhances contractility and intravasation. Altogether, our data indicate that matrix stiffness regulates tumor cell intravasation through enhanced expression and ESRP1-mediated alternative splicing of MENA, providing a mechanism by which matrix stiffness regulates tumor cell intravasation.
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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 | 0.000 | 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".