Mixed Adenoma Well-differentiated Neuroendocrine Tumor (MANET) of the Digestive System
Bibliographic record
Abstract
Mixed neuroendocrine-nonneuroendocrine neoplasm (MiNEN) consisting of adenoma and well-differentiated neuroendocrine tumor (NET) has been recently defined as "MANET." However, the clinico-pathologic and pathogenetic features of this entity are not thoroughly studied. We examined the clinico-pathologic features of 12 MANETs by expanding their p53 and β-catenin expression profiles as well as the presence of microsatellite instability and KRAS, BRAF, and PIK3CA mutations in the 2 tumor components. In all cases, the adenomatous component represented the larger part of the lesions and the NET was localized in the deep central portion of polyps. In 9 cases the latter was represented by NET G1, in 2 by NET G2, and in 1 by NET G3. In all cases, the glandular and NET components were intimately admixed, with zone of transition between the tumor components. The NET component was p53 negative in all cases and 3 of 8 cases showed variable nuclear positivity for β-catenin. All patients with follow-up data were alive and free of disease after a mean follow-up time of 9 years. No mutations in KRAS, BRAF, and PIK3CA genes and no microsatellite instability were found in both tumor components. Review of the literature also identified 59 previously reported MANETs and no tumor-related death has been found. Like mixed adenoneuroendocrine carcinomas, a high-grade malignant form of MiNENs with a poorly differentiated neuroendocrine carcinoma component, a common origin for both tumor constituents may be hypothesized. Moreover, the current series provides evidence that MANET is an indolent disease that needs to be distinguished from aggressive high-grade MiNENs.
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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".