Do the Dietary Supplements Epigallocatechin Gallate or Vitamin E Cause a Radiomodifying Response on Tumors in Vivo? A Pilot Study with Murine Breast Carcinoma
Bibliographic record
Abstract
The primary aim of this study was to evaluate a systematic and reproducible assay to examine the potential radiomodifying effects of vitamin E (VE) or epigallocatechin gallate (EGCG), antioxidants commonly consumed by cancer patients as dietary supplements, on tumor control. C3H mice were randomized to a control diet or to the control diet supplemented with VE or EGCG. A tumor control dose 50% (TCD(50)) assay was used to evaluate for a radiomodifying response in stage IV murine cancer (MCa-IV) tumors, implanted in the hindleg of mice, and allowed to grow to 8 mm before receiving a single dose of radiation. The effects of VE and EGCG on intratumoral angiogenesis and apoptosis were evaluated in a group of nonirradiated mice using immunohistochemical staining. Cell proliferation assays were conducted on MCa-IV tumors in vitro. EGCG slowed tumor growth rate by 10%. EGCG and VE slowed tumor regrowth by 24 to 25%. There were no significant differences in TCD(50) values between the groups (control = 73.9 Gy, VE = 77.2 Gy, EGCG = 76.4 Gy); however, normal tissues were protected from late radiation effects (autoamputations) in the VE group. VE and EGCG increased tumor cell apoptosis and decreased tumor cell proliferation but had no effect on microvessel density. In this pilot study, neither VE nor EGCG exerted a significant radiomodifying effect on the MCa-IV tumor. Nonetheless, the suggestion of a small degree of tumor radioprotection by these antioxidant compounds warrants further research. As supplementation with VE radioprotected normal tissue, additional studies on this putative benefit are recommended.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".