Neoplasm Prevention and Immuno‐Enhancement Mediated by Daily Consumption of a Proprietary Extract from North American Ginseng by Elderly Mice of a Cancer‐Prone Strain
Bibliographic record
Abstract
Cells belonging to the innate immune system, known as natural killer (NK) cells, act as the first line of defense against developing neoplasms. We have previously shown in a leukemia-induced tumor model (mouse) that a proprietary extract (CVT-E002), of North American ginseng, administered in the diet, significantly increased the absolute numbers of NK cells, significantly decreased leukemia cells and significantly increased the life span of CVT-E002-fed leukemic mice. In the present study, we assessed the efficacy of this extract to inhibit the spontaneous development of tumors in elderly mice of the cancer-prone C3H strain. Dietary CVT-E002 was fed for approximately a year beginning when mice were almost 2 years of age. Control mice, consuming the same chow without CVT-E002, all developed assorted, palpable tumors between 22 and 33 months, while all mice consuming CVT-E002 remained alive and tumor-free until they were purposely euthanized as healthy animals. The absolute numbers of NK cells at euthanasia, in CVT-E002-consuming mice, were significantly elevated in both the spleen and bone marrow. Given these profoundly positive results and the fact that CVT-E002 already exists in the marketplace under the label Cold-fX®, the potential for cancer prevention in humans becomes apparent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".