Dietary Flaxseed–Trastuzumab Interactive Effects on the Growth of HER2-Overexpressing Human Breast Tumors (BT-474)
Bibliographic record
Abstract
Flaxseed (FS) reduces breast tumorigenesis and human epidermal growth factor receptor 2 (HER2) expression in postmenopausal patients and animal models. The primary treatment for HER2-overexpressing tumors is trastuzumab (TRAS). FS oil enhances TRAS effectiveness in athymic mice but the FS effect is unknown and was therefore determined. Athymic mice with established BT-474 tumors were fed the basal diet (control), or 10% FS diet, with or without TRAS (2.5mg/kg) treatment for 5 wk. After 2 wk, TRAS and FS reduced tumor size with a trend for an FS × TRAS interaction; however, after 5 wk, only TRAS reduced tumor size and increased tumor apoptosis. FS did not further improve TRAS effect but increased overall survival. TRAS reduced signaling biomarkers [phosphorylated HER2 and mitogen-activated protein kinase (MAPK) proteins; Akt1, Akt2, MAPK, and estrogen receptor-α mRNA], FS reduced phosphorylated-Akt1 protein, and FS × TRAS interactions were seen for HER2 mRNA and phosphorylated-Akt1 protein. FS, with and without TRAS, increased tumor n-3 PUFA levels and serum lignans indicating potential roles in the observed effect. In conclusion, TRAS reduces tumor growth by influencing HER2 signaling. Dietary FS has minimal tumor-reducing effect, does not interfere with TRAS action, but improves overall survival in athymic mice.
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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) | 0.001 | 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 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".