Chemokine receptor CXCR4-β1 integrin axis mediates tumorigenesis of osteosarcoma HOS cells
Bibliographic record
Abstract
It is known that beta1 integrins mediate the migratory response of cells to chemokine stimulation. Also, both beta1 integrins and chemokines have roles in tumor development. In the present study, the beta1 integrin-chemokine axis is assessed using human osteosarcoma (HOS) transfectant cells expressing the CXCR4 receptor for chemokine SDF-1 (CXCL12). We first identified in vitro the specific beta1 integrins that mediated the migratory response to SDF-1 stimulation. Results showed that on collagen type I and laminin, the chemotactic response to SDF-1 was predominantly mediated by alpha2beta1 integrin. On fibronectin, SDF-1-stimulated chemotaxis involved both alpha4beta1 and alpha5beta1 integrins. A comparison of the transfectant clones expressing CXCR4 at low, intermediate, and high levels and the control transfectant revealed that the transfectant clones migratory response in vitro and their ability to form tumors in vivo was related to their levels of CXCR4 expression. In addition, treatment by injection with mAbs to CXCR4, integrin alpha2beta1, or integrin alpha5beta1 effectively inhibited the growth of HOS-CXCR4 transfectant cells in vivo. Therefore, our results show that the beta1 integrins that mediated the migratory response were also functionally linked to the enhanced tumor growth of CXCR4-expressing HOS transfectant 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) | 0.002 | 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".