Effects of St. John's Wort and Vitamin E on Breast Cancer Chemotherapeutic Agents
Bibliographic record
Abstract
The purpose of this research project is to better understand the interaction of dietary supplements with cancer chemotherapeutic drugs. This information may be useful to decrease the toxicity and increase the effectiveness of chemotherapy. The scope of the research involves in vivo assessments of nutritional supplement- chemotherapeutic drug interactions and in vitro studies of the mechanisms of nutraceutical- chemotherapeutic interactions. Dietary supplementation of rats with St. John's wort increased the LD5O cyclophosphamide, suggesting that this nutraceutical may decrease the toxicity of cyclophosphamide. Dietary supplementation of rats with 2 levels of vitamin E had no effect on the toxicity of cyclophosphamide. Vitamin E supplementation did not modify rodent hepatic mitochondrial DNA changes caused by docetaxel. In women with breast cancer, the drop in neutrophil count after chemotherapy was less in women taking dietary supplements versus no supplements, and in those taking multivitamins or vitamin E. Our studies suggest that dietary supplements may reduce the toxicity associated with some cancer chemotherapeutic agents used to treat breast cancer.
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 | 0.000 | 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) | 0.003 | 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".