Breaking the cycle: the role of omega-3 polyunsaturated fatty acids in inflammation-driven cancers
Bibliographic record
Abstract
Chronic inflammation is a cyclical, self-stimulating process. Immune cells called to sites of inflammation release pro-inflammatory signaling molecules that stimulate activation of inducible enzymes and transcription factors. These enzymes and transcription factors then stimulate production of signaling molecules that attract more immune cells and induce more enzymatic and transcriptional activity, creating a perpetual loop of inflammation. This self-renewing pool of inflammatory stimuli makes for an ideal tumor microenvironment, and chronic inflammation has been linked to oncogenesis, tumor growth, tumor cell survival, and metastasis. Three protein pathways in particular, nuclear factor kappa B (NF-kB), cyclooxygenase (COX), and lipoxygenase (LOX), provide excellent examples of the cyclical, self-renewing nature of chronic inflammation-driven cancers. NF-kB is an inducible transcription factor responsible for the expression of a vast number of inflammation and cancer related genes. COX and LOX convert omega-6 (n-6) and omga-3 (n-3) polyunsaturated fatty acids (PUFA) into pro- and anti-inflammatory signaling molecules. These signaling molecules stimulate or repress activity of all three of these pathways. In this review, we will discuss the pro- and anti-inflammatory functions of these fatty acids and their role in chronic inflammation and cancer progression.
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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) | 0.001 | 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 | 0.001 | 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".