Repurposing Two Old Friends to Fight Cancer: Caffeine and Statins
Bibliographic record
Abstract
Statins are a class of cholesterol-lowering drugs that inhibit 3-hydroxy-3-methylglutaryl-CoA reductase, the rate-limiting enzyme of the mevalonate pathway. Evidence suggests that certain cancers depend on the mevalonate pathway for growth and survival, and thus blocking the mevalonate pathway with statins may offer a viable therapeutic approach for treating cancer, or at least enhance the efficacy of existing cancer drugs. In this issue of Cancer Research, Tran and colleagues showed that caffeine works jointly with FOXM1 inhibition to enhance the antitumor activity of statins in neuroblastoma cells. They found that caffeine synergizes with statins by suppressing statin-induced feedback activation of the mevalonate pathway. Here, we reflect on the potential of combining caffeine and statin drugs as a strategy for potentiating anticancer activity. See related article by Tran et al., p. 2248.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.020 | 0.024 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".