The Effect of Secoisolariciresinol Diglucoside and Flaxseed Oil, Alone and in Combination, on MCF-7 Tumor Growth and Signaling Pathways
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Flaxseed (FS), an oilseed containing high amounts of the phytoestrogen lignan, secoisolariciresinol diglucoside (SDG), and n-3 fatty acid, alpha-linolenic acid-rich oil (FO), has been shown to inhibit the growth of established human breast tumors (MCF-7) in ovariectomized (OVX) athymic mice. However, the major FS component responsible for this effect and the mechanism(s) of its action are unclear. Hence, this study determined, in a 2 x 2 factorial design, the effect of SDG and FO, alone or in combination, on the growth of established human estrogen receptor positive (ER+) breast tumors and the potential mechanism(s) of its action. OVX mice with established ER+ human breast tumors (MCF-7) were treated for 8 wk with basal diet (BD, control) or BD supplemented with SDG (1 g/kg), FO (38.5 g/kg), or SDG + FO. All treatments reduced the tumor growth, but SDG had the greatest effect primarily through reducing tumor cell proliferation rather than increasing apoptosis. SDG had a main effect in the reduction of PS2, BCL2, and IGF-1R mRNA expression, whereas FO had a main effect only in PAKT reduction. SDG alone also lowered the ERalpha, ERbeta, EGFR, BCL2 mRNA, and PMAPK protein, indicating that its effect involves the modulation of the ER- and growth factor receptor-mediated signaling pathways.
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.
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 it