Clinicopathologic and Molecular Features of Mixed Neuroendocrine Non-Neuroendocrine Neoplasms of the Gallbladder
Bibliographic record
Abstract
Neuroendocrine neoplasms of the gallbladder are rare, comprising 0.5% of all neuroendocrine cancers and about 2% of gallbladder cancers. These neoplasms can also be found along with other malignant neoplasms of epithelial origin, mostly adenocarcinomas. Herein, we describe an unusual finding of a three-component mixed neuroendocrine non-neuroendocrine neoplasm (MiNEN) of the gallbladder. We also review the literature on 29 similar cases and summarize key features. We report on a 62-year-old woman who presented with right upper quadrant pain with a positive Murphy's sign. A clinical diagnosis of neoplasia was entertained and she underwent cholecystectomy. Gross examination of the specimen revealed a 5-cm exophytic mass at the gallbladder fundus. Histopathologic examination of the mass showed an infiltrating squamous cell carcinoma, an adjacent neuroendocrine carcinoma (each of these two components composed more than 30% of the neoplasm), and a superficial adenocarcinoma (composing 10% of the neoplasm). Gallbladder MiNENs present with similar symptoms and in the same age group as do carcinomas; however, their prognosis is often poor. Specific management and treatment guidelines have not been established since MiNENs are very rare.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".