Mechanisms by which E-Selectin Regulates Diapedesis of Colon Cancer Cells under Flow Conditions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Diapedesis, the passage of circulating tumor cells across the endothelium, is a critical determinant in most cases of metastasis. Using a laminar flow chamber and a tissue-engineered blood vessel, we found that E-selectin is required not only for the initial adhesion and rolling of circulating HT-29 colon cancer cells on the endothelium but also for their subsequent diapedesis. These processes require both the intracellular and extracellular domains of E-selectin. We also identified three distinct mechanisms by which circulating cancer cells interact with E-selectin to initiate their diapedesis: formation of a mosaic between cancer cells and endothelial cells, paracellular diapedesis at the junction of three endothelial cells, and transcellular diapedesis. We also obtained evidence indicating that E-selectin-dependent paracellular extravasation is independent of intercellular adhesion molecule and vascular cell adhesion molecule and that it requires the activation of extracellular signal-regulated kinase (ERK) mitogen-activated protein kinase downstream of E-selectin. This is supported by the observation that the adenoviral-mediated expression of the E-selectin mutant Y603F is associated with both an inhibition of ERK and paracellular extravasation. Our study is the first to clearly establish, under dynamic and shear stress conditions, how E-selectin regulates diapedesis of circulating cancer cells. These results provide new insights in understanding the metastatic process.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it