Giant cribriform adenocarcinoma of the tongue showing PRKD3 rearrangement
Bibliographic record
Abstract
Cribriform adenocarcinoma of the tongue and minor salivary glands (CAMSG) was first described 16 years ago. It typically presents as a mass at the base of the tongue with early spread to lymph nodes, but without potential for distant metastases. In the 2005 World Health Organization Classification of Tumors the entity was classified as a possible variant of polymorphous low-grade adenocarcinoma (PLGA). Since then, more than 40 cases have been described in the English literature. Recently, PRKD1-3 translocation was found in more than 80% of CAMSGs. In some of those cases ARID1A or DDX3X was the translocation partner. We reviewed 183 primary carcinomas of major and minor salivary glands, resected at the Medical University of Gdańsk, Poland, in the period 1992-2012, and identified only one case of CAMSG. A giant tumor developed at the base of the tongue in a 76-year-old man. The primary tumor was resected with multiple bilateral cervical lymph node metastases. The patient received radiotherapy but died 10 months after the surgery due to causes not related to the primary cancer. The tumor presented PRKD3 rearrangement as confirmed by FISH. As the tumor is extremely rare (it represented only 0.5% of salivary gland tumors in our series), the controversy on its nosological status is still unresolved. This is the first report in the world literature of a patient who died in the course of CAMSG.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".