The Role of HER-2/neu Oncogene and Vimentin Filaments in the Production of the Paget's Phenotype
Bibliographic record
Abstract
The histogenesis as well as the biological and molecular differences in mammary Paget's disease (MPD) and extramammary Paget's disease (EPD) are not well understood. HER-2/neu oncogene overexpression is associated with poor prognosis in breast cancer patients. It is also believed that the spread of Paget's cells through the epidermis is induced by a motility factor that acts via the HER-2/neu receptor. However, previous studies on HER-2/neu expression in MPD and EPD have given conflicting results. Recent studies have suggested that vimentin expression in breast cancer confers a more aggressive phenotype with a possible role in tumor invasion and metastasis. We examined 58 cases of MPD and EPD for HER-2/neu overexpression and vimentin status to study the role of these markers in the production of the Paget's phenotype. Thirty-five of the 38 cases (92.1%) of MPD were associated with an underlying carcinoma, while none of the cases of EPD were associated with an underlying malignancy. Thirty-six of the 38 cases of MPD (94.7%) overexpressed the HER-2/neu oncoprotein and 17 cases (44.7%) showed vimentin expression. In contrast, only 1 of the 20 cases of EPD (5%) showed positivity for HER-2/neu oncoprotein and all were negative for vimentin. Our results indicate that the cell motility enhancing effect of HER-2/neu oncoprotein and possibly vimentin plays a significant role in the pathogenesis of MPD which appears to be a pagetoid spread of an underlying ductal malignancy (secondary), while EPD is an in situ malignant transformation of a totipotential epidermal cell or glandular epithelium.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".