Active lysyl oxidase (LOX) correlates with focal adhesion kinase (FAK)/paxillin activation and migration in invasive astrocytes
Bibliographic record
Abstract
The extracellular matrix (ECM) plays a critical role during the development and invasion of primary brain tumours. However, the function of ECM components and signalling between a permissive ECM and invasive astrocytes is not fully understood. We have recently reported the ECM enzyme, lysyl oxidase (LOX), in the central nervous system and observed up-regulation of LOX in anaplastic astrocytoma cells. While the catalytic function of LOX is essential for cross-linking of ECM proteins, we also reported that LOX induced invasive and metastatic properties in breast tumour epithelial cells through hydrogen peroxide-mediated FAK/Src activation. In this study, we tested the hypothesis that active LOX is expressed in anaplastic astrocytes and promotes FAK activation and invasive/migratory behaviour. Results demonstrate that increased expression and activity of LOX positively correlated with invasive phenotype of malignant astrocytoma cell lines. Immunohistochemistry detected increased LOX within tumour cells and ECM in grade I-IV astrocytic neoplasm compared with normal brain and coincidence of increased LOX with the loss of glial fibrillary acidic protein in higher-grade tumours. Increased active LOX in invasive astrocytes was accompanied by phosphorylation of FAK[Tyr576] and paxillin[Tyr118]; furthermore, both FAK and paxillin tyrosine phosphorylation were diminished by beta-aminopropionitrile inhibition of LOX activity and depletion of H(2)O(2) via catalase treatment. Additionally, we provide evidence that in astrocytes, LOX is likely processed by bone morphogenic protein-1 and LOX activity might be further stimulated by the expression of fibronectin in these cells. These results demonstrate an important LOX-mediated mechanism that promotes migratory/invasive behaviour of malignant astrocytes.
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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".