Isolated Soy Protein Promotes Mammary Tumor Development Induced by the Type I Insulin-like Growth Factor Receptor in Transgenic Mice
Bibliographic record
Abstract
Studies suggest consuming soy may protect women from breast cancer. In this study, lifetime exposure to 20%, 5% and 1% ISP in MTB-IGFIR mice (mammary-specific expression of IGF-IR) were evaluated to determine whether ISP could protect against mammary tumorigenesis. MTB-IGFIR mice fed ISP diets displayed increased mammary tumor incidence and reduced tumor latency compared to mice fed 20% casein. To evaluate whether a diet containing a less refined form of soy could protect against mammary tumor development MTB-IGFIR mice were fed Teklad 2018 (contains soybean meal). MTB-IGFIR mice fed the Teklad 2018 diet were completely protected against mammary tumor development. To determine whether dietary ISP was sufficient to induce mammary tumorigenesis, MTB-IGFIR mice were fed Teklad 2018ISP (soybean meal of Teklad 2018 was replaced with an equivalent amount of ISP). Only two of 10 MTB-IGFIR mice fed Teklad 2018ISP developed mammary tumors. This study demonstrates the complex interaction between soy and other dietary components in modifying mammary tumor development.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".