Oxygen-mediated Regulation of Tumor Cell Invasiveness
Bibliographic record
Abstract
Tumor hypoxia is associated with a poor prognosis for patients with various cancers, often resulting in an increase in metastasis. Moreover, exposure to hypoxia increases the ability of breast carcinoma cells to invade the extracellular matrix, an important aspect of metastasis. Here, we demonstrate that the hypoxic up-regulation of invasiveness is linked to reduced nitric oxide signaling. Incubation of human breast carcinoma cells in 0.5% versus 20% oxygen increased their in vitro invasiveness and their expression of the urokinase receptor, an invasion-associated molecule. These effects of hypoxia were inhibited by nitric oxide-mimetic drugs; and in a manner similar to hypoxia, pharmacological inhibition of nitric oxide synthesis increased urokinase receptor expression. The nitric oxide signaling pathway involves activation of soluble guanylyl cyclase (sGC) and the subsequent activation of protein kinase G (PKG). Culture of tumor cells under hypoxic conditions (0.5% versus 20% oxygen) resulted in lower cGMP levels, an effect that could be prevented by incubation with glyceryl trinitrate. Inhibition of sGC activity with a selective blocker or with the heme biosynthesis inhibitor desferrioxamine increased urokinase receptor expression. These compounds also prevented the glyceryl trinitrate-mediated suppression of urokinase receptor expression in cells incubated under hypoxic conditions. In contrast, direct activation of PKG using 8-bromo-cGMP prevented the hypoxia- and desferrioxamine-induced increases in urokinase receptor expression as well as the hypoxia-mediated enhanced invasiveness. Further involvement of PKG in the regulation of invasion-associated phenotypes was established using a selective PKG inhibitor, which alone increased urokinase receptor expression. These findings reveal that an important mechanism by which hypoxia increases tumor cell invasiveness (and possibly metastasis) requires inhibition of the nitric oxide signaling pathway involving sGC and PKG activation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 teacher head, 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".