High-Fructose Corn Syrup on Inflammation and Cancer
Bibliographic record
Abstract
lipogenesis, promotes insulin resistance, and contributes to hepatic steatosis. These metabolic disturbances are strongly associated with chronic low-grade inflammation, a well-established risk factor for tumor development and progression. Emerging evidence suggests that HFCS contributes to a pro-inflammatory environment through upregulation of macrophage activation, increased cytokine production, and disruption of gut microbiota homeostasis, thereby impairing intestinal barrier integrity and promoting systemic inflammation. Animal studies have shown that HFCS consumption induces greater insulin resistance and adipose tissue inflammation compared to high-fat diets. Recent research highlights the direct influence of HFCS on cancer biology, beyond its indirect effects through obesity and metabolic disorders. Preclinical models demonstrate that HFCS intake accelerates tumor growth in colorectal, breast, and melanoma tumor models, independent of obesity. Mechanistically, fructose metabolism supports cancer cell proliferation via enhanced glycolysis, lipogenesis, and nucleotide synthesis through the pentose phosphate pathway. Fructose also suppresses necroptosis in hypoxic conditions and may promote metastasis via the generation of lipid mediators like lysophosphatidylcholine (LPC) and the upregulation of fructose transporters such as glucose transporter 5 (GLUT5). Diets rich in HFCS have been shown to activate the insulin/insulin-like growth factor 1 (IGF-1) signaling pathway, leading to enhanced tumor growth and reduced apoptosis. Epidemiological data link high fructose consumption with increased risk for in colorectal, pancreatic, and breast cancers in addition to poorer prognosis in these patients. However, findings remain heterogeneous, likely due to variability in fructose sources, dietary patterns, and host factors. Given the widespread dietary exposure to HFCS, understanding its metabolic, inflammatory, and oncogenic effects is critical. This review synthesizes current evidence linking HFCS to cancer pathogenesis and underscores the urgent need for further research into fructose-specific mechanisms and their relevance to cancer prevention and therapeutic strategies.
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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) | 0.000 | 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) | 0.005 | 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 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".