Coordinated Expression of Pax-5 and FAK1 in Metastasis
Bibliographic record
Abstract
The Pax-5 gene encodes a B-cell-specific activator protein (BSAP) that plays a key role in B lymphocyte differentiation and embryogenesis. The deregulation of this transcription factor is also linked to B cell malignancies and recently to other cancers. More specifically, the downstream effects of Pax-5 promote cell-cell interactions and mediate the activation of adhesion genes which result in an epithelial phenotypic behavior of human carcinoma cells. To gain a better understanding of Pax-5-mediated gene regulation, we studied available gene expression data in depth and identified several Pax-5 downstream targets. Among these, we found that Pax-5 activity is consistently inversely correlated with the expression of Focal Adhesion Kinase 1 (FAK1). FAK1 is known to enhance migration of cancer cells and promote metastatic dissemination to distant sites. Further analysis looking at genome wide profiling of Pax-5 DNAbinding points to both direct and indirect regulation of FAK1 expression by Pax-5 and its downstream targets. These findings suggest a key role for Pax-5 in phenotypic transitioning during metastasis through the regulation of FAK1 activity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".