Metformin Abolishes Increased Tumor FDG Uptake Associated With a High‐Energy Diet
Bibliographic record
Abstract
Insulin regulates glucose uptake by normal tissues. Although there is evidence that certain cancers are growth‐stimulated by insulin, the possibility that insulin influences tumor glucose uptake as assessed by 18F‐2‐Deoxy‐2‐Fluoro‐D‐Glucose Positron Emission Tomography (FDG‐PET) has not been studied in detail. We present a model of diet‐induced hyperinsulinemia associated with increased insulin receptor activation in neoplastic tissue, and with increased tumor FDG‐PET image intensity. Metformin, which has been associated with reduced cancer burden among diabetics, abolished the increase in insulin levels, tumor insulin receptor activation, and FDG‐PET signal associated with the high‐energy diet, but had no effect on these measurements in mice on a control diet. These findings suggest that for a subset of neoplasms, diet and insulin are variables that affect tumor FDG‐PET results, and have implications for design of clinical trials of metformin as an anti‐neoplastic agent.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.002 | 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".