CXCR4–SDF-1 signaling is active in rhabdomyosarcoma cells and regulates locomotion, chemotaxis, and adhesion
Bibliographic record
Abstract
We hypothesized that the CXC chemokine receptor-4 (CXCR4)-stromal-derived factor-1 (SDF-1) axis may be involved in metastasis of CXCR4(+) tumor cells into the bone marrow and lymph nodes, which secrete the alpha-chemokine SDF-1. To explore this hypothesis, we phenotyped by fluorescence-activated cell sorter analysis various human tumor cell lines for expression of CXCR4 and found that it was highly expressed on several rhabdomyosarcoma (RMS) cell lines. We also observed that cell lines derived from alveolar RMS, which is characterized by recurrent PAX3- and PAX7-FKHR gene fusions and is associated with a poor prognosis, expressed higher levels of CXCR4 than lines derived from embryonal RMS. Furthermore, transfer of a PAX3-FKHR gene into embryonal RMS cell activates CXCR4 expression. Because alveolar RMS frequently metastasizes to the bone marrow and lymph nodes, it seems that the CXCR4-SDF-1 axis could play an important role in this process. These findings prompted us to determine whether SDF-1 regulates the metastatic behavior of RMS cells. Accordingly, we found that, although SDF-1 did not affect proliferation or survival of these cell lines, it induced in several of them (1) phosphorylation of mitogen-activated protein kinase p42/44; (2) locomotion; (3) directional chemotaxis across membranes covered by laminin, fibronectin, or Matrigel; (4) adhesion to laminin, fibronectin, and endothelial cells; and (5) increased MMP-2 and diminished tissue inhibitors of metalloproteinases secretion. The small-molecule CXCR4-specific inhibitor, T140, effectively blocked the in vitro responses of RMS cells to SDF-1. On the basis of these observations we suggest that the CXCR4-SDF-1 axis may play an important role in tumor spread and metastasis of RMS cells to bone marrow and that molecular strategies aimed at inhibiting this axis could thus prove to be useful therapeutic measures.
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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 | 0.000 |
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".