Bibliographic record
Abstract
Objective To explore the cellular location of ER subtypes (ERα and ERβ) in normal human mammary gland and provid the foundation for exploring the relationship between ERα,ERβ and development of normal mammary gland.Methods Using immunohistochemistry,the expressions and cellular distribution of ERα and ERβ in the normal tissues of 16 patients who had accepted reduction mammoplasty specimens in the Affiliated Hospital of University Laval were detected.Results ERα immunoreactivity was detected in the nuclei of epithelial cells lining lobules and ducts.The positive cells located in the inner layer of the two epithelial layers in the lobules and intralobular ducts,but in the interlobular ducts the positive cells located in the outer layer.Although ERβ was also seen in these cells,there was irregularity of its distribution.Weak to moderate cytoplastic staining of ERβ in epithelial cells of lobules and ducts were fonud.Occasional nuclear staining was seen in the stromal cells,endothelial cells and lymphocytes.The percentage of ERβ positive expression in the epithelial cells was much higher than that of ERα,there was markedly difference between them (t=29.789,P0.01 ).The positive expression rate of ERβ in the mammary gland was much higher than that of ERα,there was markedly difference between them (χ2=8.127,P0.05).Conclusion ER subtypes have distinct distribution patterns in the normal mammary gland.The widespread distribution of ERβ suggests that it may be the dominant ER in the mammary gland.
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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".