Expression analysis of E-cadherin, Slug and GSK3β in invasive ductal carcinoma of breast
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Cancer progression is linked to a partially dedifferentiated epithelial cell phenotype. The signaling pathways Wnt, Hedgehog, TGF-beta and Notch have been implicated in experimental and developmental epithelial mesenchymal transition (EMT). Recent findings from our laboratory confirm that active Wnt/beta-catenin signaling is critically involved in invasive ductal carcinomas (IDCs) of breast. METHODS: In the current study, we analyzed the expression patterns and relationships between the key Wnt/beta-catenin signaling components- E-cadherin, Slug and GSK3beta in IDCs of breast. RESULTS: Of the 98 IDCs analyzed, 53 (54%) showed loss/or reduced membranous staining of E-cadherin in tumor cells. Nuclear accumulation of Slug was observed in 33 (34%) IDCs examined. Loss or reduced level of cytoplasmic GSK3beta expression was observed in 52/98 (53%) cases; while 34/98 (35%) tumors showed nuclear accumulation of GSK3beta. Statistical analysis revealed associations of nuclear Slug expression with loss of membranous E-cadherin (p = 0.001); nuclear beta-catenin (p = 0.001), and cytoplasmic beta-catenin (p = 0.005), suggesting Slug mediated E-cadherin suppression via the activation of Wnt/beta-catenin signaling pathway in IDCs. Our study also demonstrated significant correlation between GSK3beta nuclear localization and tumor grade (p = 0.02), suggesting its association with tumor progression. CONCLUSION: The present study for the first time provided the clinical evidence in support of Wnt/beta-catenin signaling upregulation in IDCs and key components of this pathway - E-cadherin, Slug and GSK3beta with beta-catenin in implementing EMT in these cells.
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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 | 0.001 |
| 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