Microsecretory Adenocarcinoma
Bibliographic record
Abstract
Salivary gland adenocarcinoma not otherwise specified (NOS) is a heterogenous group, likely containing distinct tumors not yet characterized. A growing number of low to intermediate-grade salivary carcinomas are now known to harbor tumor-specific gene fusions. On occasion, identifying a novel fusion allows for recognition of a new salivary tumor type, in addition to representing a potential diagnostic tool. We sought to characterize a distinctive salivary gland adenocarcinoma that would previously have been regarded as adenocarcinoma NOS. On the basis of the recognition of 5 morphologically identical, distinct low-grade salivary adenocarcinomas, we used targeted RNA sequencing (RNA-Seq) to determine whether these could be differentiated from other fusion-associated salivary gland tumors. RNA-Seq was performed on all 5 low-intermediate grade adenocarcinomas NOS with near-identical histologic appearances, as well as 23 low-intermediate grade control adenocarcinoma NOS cases that did not resemble the index cases. All 5 index cases harbored a novel MEF2C-SS18 gene fusion, which was independently confirmed by reverse transcriptase-polymerase chain reaction. The MEF2C-SS18-positive cases arose in the oral cavity (4/5) and parotid gland (1/5) of 3 women and 2 men ranging from 21 to 80 years (mean: 46) and shared near-identical histologic features: intercalated duct-like cells with eosinophilic to clear cytoplasm and small, uniform oval nuclei, infiltrative microcysts and cords, abundant intraluminal secretions, and cellular fibromyxoid stroma. Mitotic rates were low; necrosis was absent. All MEF2C-SS18-positive tumors were positive for S100 and p63 and negative for p40, smooth muscle actin, calponin, and mammaglobin. One of the 23 control cases, a parotid tumor, was found to contain a SS18-ZBTB7A gene fusion; it demonstrated similar, but not identical histologic and immunophenotypic features compared with the MEF2C-SS18 cases. The remaining control cases were negative for SS18 and MEF2C rearrangements. A novel MEF2C-SS18 gene fusion and unique histologic and immunophenotypic features characterize a heretofore undefined low-grade salivary adenocarcinoma for which we propose the term "microsecretory adenocarcinoma." RNA-Seq helped establish this entity as a distinct tumor type, and identified one possibly related case with a different SS18-related fusion. The recognition of microsecretory adenocarcinoma and its separation from other adenocarcinomas NOS will facilitate a more complete understanding of the clinical and pathologic characteristics of this previously unrecognized neoplasm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".