Reversal of the Hypomethylation Status of Urokinase (uPA) Promoter Blocks Breast Cancer Growth and Metastasis
Bibliographic record
Abstract
Metastasis is a leading cause of mortality and morbidity in cancer. Urokinase (uPA), only expressed by the highly invasive cancer cells, has been implicated in invasion, metastases, and angiogenesis of several malignancies including breast cancer. Because uPA expression is strongly correlated with its hypomethylated state, we utilized the uPA gene in the highly invasive MDA-231 human breast cancer cells as a model system to test the hypothesis that pharmacological reversal of the uPA promoter hypomethylation would result in its silencing and inhibition of metastasis. S-Adenosyl-l-methionine (AdoMet) has previously been shown to cause hypermethylation and inhibit demethylation. Treatment of MDA-231 cells with AdoMet, but not its unmethylated analogue S-adenosylhomocysteine, significantly inhibits uPA expression and tumor cell invasion in vitro and tumor growth and metastasis in vivo. The effects of AdoMet on uPA expression were reversed by the demethylating agent 5'-azacytidine, supporting the conclusion that AdoMet effects are caused by hypermethylation. Knockdown of the methyl-binding protein 2 also causes a significant inhibition of uPA expression in vitro and tumor growth and metastasis in vivo. These treatments did not have any effects on estrogen receptor expression, suggesting that inhibition of hypomethylation will not affect genes already silenced by hypermethylation. These data are consistent with the hypothesis that hypomethylation of critical genes like uPA plays a causal role in metastasis. Inhibition of hypomethylation can thus be used as a novel therapeutic approach to silence the pro-metastatic gene uPA and block breast cancer progression into the aggressive and metastatic stages of the disease.
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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 | 0.000 |
| 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) | 0.000 | 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".