Expression of matrix metalloproteinase‐1, ‐7, ‐9, ‐13, Ki‐67, and HER‐2 in epithelial‐myoepithelial salivary gland cancer
Bibliographic record
Abstract
BACKGROUND: The expression of matrix metalloproteinases (MMPs) in epithelial-myoepithelial salivary gland carcinoma has not been studied previously. METHODS: Immunohistochemistry for MMP-1, -7, -9, -13, Ki-67, and HER-2, as well as HER-2 gene amplification by silver enhanced in situ hybridization was performed in a series of 12 paraffin-embedded histopathologic samples of patients from Canada and Finland. RESULTS: A positive MMP-13 (p = .0022), higher MMP-13 (p = .0274), and higher MMP-9 (p = .0274) index (multiplication of staining intensity by percentage of the positive cells) predicted better overall survival. In disease-specific analysis, higher MMP-9 index (p = .0327) predicted better survival. A higher volume corrected index (VCI) of Ki-67 (p = .0339) predicted worse disease-specific survival. In 1 patient, HER-2 oncogene amplification was observed. CONCLUSION: MMPs and Ki-67 may have prognostic impact in epithelial-myoepithelial carcinoma.
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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) | 0.001 | 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".