Vanadium: Possible Use in Cancer Chemoprevention and Therapy
Bibliographic record
Abstract
Vanadium belongs among the microelements and plays a role in human nutrition. However, it is not regarded as an essential micronutrient. Vanadium affects various biochemical processes and when present in the body, it is capable of interacting with a notable number of enzymes e.g. protein kinases, phosphatases, ATPases, peroxidases, ribonucleases, oxidoreductases and others. It is documented in scientific literature that vanadium takes part in biochemical processes in mammals. Vanadium is not carcinogenic but its presence in cancer cells and its interactions with many key enzymatic processes results in modified expression of p53 and Bax and in down regulation of Bcl2 proteins and in antiproliferative activity. Anti-carcinogenic and anticancer effects of vanadium in various forms have been demonstrated using in vitro and in vivo experiments. Presently, epidemiologic and clinical studies are necessary for developing a clinically useful, vanadium-based anticancer agent/drug for chemoprevention of cancer. This review summarizes recent scientific information on the role and potential use of vanadium in cancer chemoprevention and cancer therapy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".