Interleukin‐8 secreted by endothelial cells induces Chemotaxis of melanoma cells through the chemokine receptor CXCR1
Bibliographic record
Abstract
There is increasing evidence that both cell adhesion molecules and soluble factors are involved in tumor metastasis. We have found that endothelial cells secrete chemoattractants that can induce melanoma cell chemotaxis. Protein separation on an ion-exchange column shows the association of IL-8 with fractions that contain the chemoattractant activity. This activity is completely lost from the conditioned medium after immunoprecipitation with anti-IL-8 antibodies, indicating that IL-8 is the major melanoma chemoattractant secreted by endothelial cells. IL-877, the predominant endothelial IL-8 isoform that contains 77 amino acids, is found to be twice as potent as the more common 72-amino acid isoform IL-872. Antibody inhibition studies indicate that the chemotactic response of melanoma cells is mediated by the CXC-chemokine receptor CXCR1 and not by the more promiscuous CXCR2. When stimulated by tumor necrosis factor alpha, the nonresponsive WM35 melanoma cells synthesize a higher level of CXCR1 and become chemotactic toward interleukin (IL)-8. Pretreatment of cells with pertussis toxin nullifies their chemotactic response, suggesting the involvement of G proteins. Antibodies against either IL-8 or CXCR1 inhibit melanoma transendothelial migration in a coculture assay by 30%. These results are consistent with a role for IL-8-induced chemotaxis in the transendothelial migration of melanoma cells.
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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) | 0.001 | 0.001 |
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".