Hypomethylation of Urokinase (uPA) Promoter in Breast and Prostate Cancer: Prognostic and Therapeutic Implications
Bibliographic record
Abstract
Methylation of CpG islands of tumor suppressor genes, growth factors, and hormone receptors among other genes causes epigenetic changes in chromatin structure without altering DNA sequence to regulate transcription of these genes. This epigenetic regulation of gene expression plays an important role in the process of tumor invasion, growth and metastasis in malignancies. In hormone dependent malignancies such as breast and prostate cancer, sex steroids play an important role in the process of tumor initiation and progression. These malignancies are often initiated as a less aggressive hormone-responsive type that gradually progresses to become highly invasive and hormone-insensitive. At the early stages, cells lose a functional hormone receptor due to mutations, blockage of signaling pathway or hormone receptor gene silencing. This transition of cancer cells causes them to become refractory to the standard hormone therapies. In later stages, important factors like growth factors, cytokines and proteases promote tumor growth, invasion and metastases. The most commonly implicated protease in these processes is urokinase type plasminogen activator (uPA), which is known to be expressed in a number of malignancies including breast and prostate cancer and is directly associated with the higher invasive and metastatic potential of malignancies. In this chapter, we will review DNA methylation as the underlying molecular mechanism regulating uPA gene expression and its potential diagnostic, prognostic and therapeutic implication.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".