Laminin‐5 gamma 2 chain is colocalized with gelatinase‐A (MMP‐2) and collagenase‐3 (MMP‐13) in odontogenic keratocysts
Bibliographic record
Abstract
BACKGROUND: Odontogenic keratocyst (KC) differs from other epithelial odontogenic cysts in regard to increased epithelial proliferation and a strong tendency to recur. Laminin-5 (Ln-5) is an epithelial anchoring filament component, which after modulation by certain matrix metalloproteinases (MMPs), like MMP-2 and MMP-13, induces epithelial cell migration. METHODS: Using in situ hybridization and immunohistochemistry, we studied the Ln-5 gamma-2 chain expression related to the expression of MMP-2, -8, and -13 in different odontogenic cysts, including radicular cysts (RC; n = 11), follicular cysts (FC; n = 11), and odontogenic keratocysts (KC; n = 16). RESULTS: Ln-5 mRNA was present in all cysts examined, while less than half of KCs and RCs (33 and 40%, respectively) demonstrated MMP-2 mRNA. MMP-13 mRNA was present in all KC samples. Ln-5 protein was located as a continuous ribbon in BM zone of all KCs, and MMP-2 and MMP-13 immunoreactivities colocated significantly with Ln-5 in that area. MMP-8 was expressed by stromal macrophages and epithelial goblet cells, but never located in BM zone. CONCLUSIONS: Our results indicate that the colocalization of Ln-5 with MMP-2 or MMP-13, but not with MMP-8, in BM zone of KCs, may be related to special characteristics of KC.
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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) | 0.000 | 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".