Chemopreventive effect of ERβ‐Selective agonist on intestinal tumorigenesis in <i>Apc</i><sup>Min/+</sup> Mice
Bibliographic record
Abstract
Epidemiological and experimental evidence suggests that estrogen replacement therapy reduces the risk of colon cancer in postmenopausal women. Estrogen receptor beta (ERβ) is thought to be the principal mediator of the estrogen effect in the colon. Recent studies by our team suggested positive regulation of the transforming growth factor (TGF)β pathway by estrogen in mice colonocytes. We therefore wanted to investigate the effects of ERβ agonist treatment on intestinal tumorigenesis in Apc(Min/+) mice. Weaned Apc(Min/+) mice were injected subcutaneously three times a week for 12 wk with vehicle or ERβ-selective agonist, diarylpropionitrile (DPN, 5 mg/kg). DPN administration resulted in a significant reduction in small intestinal polyp multiplicity in both Apc(Min/+) male and female mice. Furthermore, the mean diameter of small intestinal polyps was lower in DPN-treated than vehicle-treated males, along with lower BrdU incorporation indices in jejunal and colon epithelial cells of both sexes. DPN treatment also increased apoptosis in colon epithelium as measured by TUNEL assay and cleaved caspase 3 quantification. The effect of DPN on various components of the TGFβ pathway was also studied in colonocytes. DPN treatment increased expression of TGFβ1 and TGFβ3 transcripts, levels of nuclear and phosphorylated Smad2 as well as p27 cell-cycle inhibitor, a TGFβ pathway target gene. Our results demonstrate that DPN treatment reduces intestinal tumorigenesis in Apc(Min/+) mice. Furthermore, we suggest that positive regulation of the TGFβ pathway by ERβ activation could contribute to the protective role of estrogen in intestinal 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".