Obesity and Cancer: Potential Mediation by Dysregulated Dietary Phosphate
Bibliographic record
Abstract
Next to smoking, obesity is the second leading preventable risk factor for cancer, but increasing rates of obesity and overweight are estimated to overtake smoking as the leading preventable cancer risk factor. Few research studies have investigated the dysregulated endocrine metabolism of dietary phosphate as a potential mediating factor in the association of obesity with cancer. Phosphate toxicity, the accumulation of excess phosphate in the body from dysregulated phosphate metabolism, is associated with tumorigenesis. High levels of hormones that regulate phosphate metabolism, such as parathyroid hormone and fibroblast growth factor 23, are also associated with obesity, providing a potential link between obesity and phosphate toxicity. Increased dietary intake of inorganic phosphate is linked to excessive consumption of foods processed with phosphate additives, and consumption of ultra-processed foods is associated with an increase in the incidence of obesity. Sugar-sweetened beverages provide the single largest source of sugar and energy intake in the U.S. population, and colas containing phosphoric acid are associated with tumorigenesis, suggesting another potential connection between obesity and cancer. Furthermore, dietary phosphate is positively correlated with increases in obesity, central obesity, and metabolic syndrome. The present perspective article proposes that dysregulated dietary phosphate potentially mediates the association of obesity with 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 | 0.000 | 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".