Proteases and their Receptors as Mediators of Inflammation-Associated Colon Cancer
Bibliographic record
Abstract
Chronic inflammation increases the risk of developing cancer. For example, patients with severe and prolonged inflammatory bowel disease, particularly ulcerative colitis, have a significantly higher risk of developing colorectal cancer. Serine proteases coordinating the coagulation cascade and immune cell proteases play important roles in regulating the inflammatory response through their actions on protease-activated receptors (PAR). PARs and their activating proteases have also been implicated in many cancers, including CRC. Importantly, the actions of proteases could be important for mediating the transition from chronic inflammation to cancer. PAR activation has been shown to have pro-tumourigenic effects including the production of matrix metalloproteinases that can promote tumour cell growth and metastasis, and transactivation of the epidermal growth factor receptor, which is a main target for cancer treatment. Additionally, PAR activation can also result in increased expression of cyclooxygenase (COX)-2, an important enzyme mediating inflammation, resolution, and cancer progression. In this review, we will highlight our current knowledge about the effects of proteases and their receptors on intestinal inflammation and cancer, and explore the potential role of PAR-induced COX-2 on colitis-associated cancer.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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".