Prognostic significance of SOX2 and GPC3 in Ameloblastoma and its malignant counterpart (Ameloblastic Carcinoma)
Bibliographic record
Abstract
Background: Ameloblastoma is a common benign aggressive odontogenic tumor with a tendency for high recurrence rate. Ameloblastic Carcinoma is the malignant counterpart of Ameloblastoma. However, they are usually difficult to be distinguished from one another. Therefore, using Immunohistochemical markers might be beneficial for diagnosing them accurately.Objective: Evaluation of SOX2 and GPC3 expressions as well as evaluating their roles in the tumorigenesis and the biological behavior of Ameloblastoma and Ameloblastic Carcinoma.Methods: Tissue samples are composed of 34 archived histopathologically confirmed cases of (19 Conventional Ameloblastomas, and 15 Ameloblatic Carcinomas). Sections were subjected to Immunohistochemical staining according to a standard protocol by applying antibodies to SOX2, and GPC3.Results: SOX2 and GPC3 expressions in recurrent Ameloblastoma were significantly higher than non- recurrent cases. Ameloblastic Carcinoma showed the highest immune-reactivity to SOX2 and GPC3 compared to the Conventional Ameloblastoma. Desmoplastic Ameloblastoma showed the highest scores of SOX2 and GPC3 compared to the other subtypes.Conclusions: SOX2 and GPC3 can be used as a panel for diagnosing the aggressive and the malignant odontogenic tumors accurately. Desmoplastic Ameloblastoma behaves more aggressively than other Conventional Ameloblastoma subtypes.
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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 | 0.001 |
| 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) | 0.001 | 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".