The Role of SATB2 as a Diagnostic Marker of Sinonasal Intestinal-type Adenocarcinoma
Bibliographic record
Abstract
BACKGROUND: Intestinal-type adenocarcinoma (ITAC) of the nasal cavity and paranasal sinuses is an uncommon tumor associated with exposure to wood and leather dust, nickel, and possibly smoking. ITAC shares phenotypical features with colorectal carcinoma. In contrast to most non-intestinal-type sinonasal adenocarcinomas, ITAC is an aggressive adenocarcinoma with poor clinical outcome; therefore, its reliable separation from non-ITAC is very important. AIM: The use of a combination of immunohistochemical markers of intestinal differentiation was tested in a cohort of sinonasal carcinomas of different types. The aim of this study was to explore a new intestinal marker, SATB2, in conjunction with CDX2 and CK20 in differential diagnosis of sinonasal adenocarcinomas. MATERIALS AND METHODS: Seven ITACs, 66 non-ITACs, and 1 case of extensive intestinal metaplasia (IM) of the nasal mucosa were included in the study and stained with SATB2, CK20, CDX2, and CK7 antibodies. Detection of mismatch repair proteins was performed in all cases of ITAC. All 7 sinonasal ITACs have been tested for KRAS, NRAS, and BRAF gene mutations. RESULTS: All ITACs showed positive expression for SATB2, whereas all non-ITAC cases were negative. The only 1 case of IM was found to be positive for SATB2, whereas the same case showed negative expression of CK20 and only focal immunostaining for CDX2. The genetic analysis showed that only 1 sinonasal ITAC (1/7) showed KRAS c.35G>C, p.(Gly12Ala) mutation, whereas BRAF and NRAS genes were wild type. Four ITACs revealed wild-type KRAS, NRAS, and BRAF, and 2 remaining cases were not analyzable. All ITACs showed preserved nuclear expression of mismatch repair proteins. CONCLUSIONS: SATB2 in combination with CDX2 and CK20 differentiates sinonasal ITAC from non-ITAC with increased diagnostic sensitivity and specificity and detects IM in the sinonasal tract more easily.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".