?3 integrins facilitate matrix interactions during transendothelial migration of PC3 prostate tumor cells
Bibliographic record
Abstract
BACKGROUND: beta3 integrins play a role in metastatic progression of prostate cancer by mediating adhesion of cancer cells to endothelium and migration through extracellular matrix (ECM). However, the role of beta3 integrins during transendothelial migration (TEM) of prostate tumor cells is poorly understood. We examined the role of beta3 integrins in TEM of PC3 human prostate cancer cells through a monolayer of human lung microvascular endothelial cells (HLMVECs). METHODS: PC3 cells were challenged with beta3 integrin antibodies or antisense nucleotides and their efficiency to migrate through monolayers of endothelial cells (ECs) was assessed using confocal microscopy. RESULTS: beta3 integrins in PC3 cells are not localized in focal contacts and their blockade significantly inhibited TEM by over 50% preferentially during late stages of migration. Formation of PC3 cell pseudopodia on matrigel was significantly reduced by beta3 integrin antisense oligonucleotides. CONCLUSIONS: beta3 integrins play important roles during TEM of PC3 cells while interacting with the matrix underneath the endothelium. These interactions are independent of the ability to cluster beta3 integrins into focal adhesions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".