Migratory activity of human breast cancer cells is modulated by differential expression of xanthine oxidoreductase
Bibliographic record
Abstract
Xanthine oxidoreductase (XOR) may exert an important, but poorly defined, role in the pathogenesis of breast cancer (BC). Loss of XOR expression was linked to aggressive BC, and recent clinical observations have suggested that decreasing XOR may be functionally linked to BC aggressiveness. The goal of the present investigation was to determine whether the decreased XOR observed in clinically aggressive BC was an intrinsic property of highly invasive mammary epithelial cells (MEC). Expression of XOR was investigated using HC11 mouse MEC, HB4a and MCF-10A normal human MEC, and several human mammary tumor cells including MCF-7 and MDA-MB-231. Consistent with clinical observations, data shown here revealed high levels of XOR in normal HC11 and MCF-10A cells that was markedly reduced in highly invasive mammary tumor cells. The contribution of XOR to tumor cell migration in vitro was investigated using MDA-MB-231 and MCF-7 cells and clonally selected derivatives of HC11 that exhibit either weak or strong migration in vitro. We observed that over-expression of an XOR cDNA in MDA-MB-231 and in HC11-C24, both possessing weak XOR expression and high migratory capacity, inhibited their migration in vitro. Conversely, pharmacological inhibition of XOR in MCF-7 and HC11-C4, both possessing high XOR expression and weak migratory capacity, stimulated their migration in vitro. Further experiments suggested that XOR derived ROS mediated this effect and also modulated COX-2 and MMP levels and function. These data demonstrate a functional link between XOR expression and MEC migration and suggest a potential role for XOR in suppressing BC pathogenesis.
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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".