Immunohistochemistry in the Diagnosis of Mucinous Neoplasms Involving the Ovary
Bibliographic record
Abstract
Immunohistochemistry is frequently used to identify ovarian mucinous neoplasms as primary or metastatic; however, there is significant overlap in expression patterns. We compared traditional markers (CK7, CK20, CDX2, PAX8, estrogen receptor, β-catenin, MUC1, MUC2, and MUC5AC) to 2 novel proteins identified through mining of the Human Protein Atlas expression database: SATB2 and POF1B. The study cohort included 49 primary gastrointestinal (GI) mucinous adenocarcinomas (19 colorectal, 15 gastric, 15 pancreatobiliary), 60 primary ovarian mucinous neoplasms (19 cystadenomas, 21 borderline tumors, 20 adenocarcinomas), and 19 metastatic carcinomas to the ovary (14 lower and 5 upper GI primaries). Immunohistochemistry was performed on tissue microarrays, scored and interpreted as negative (absent or focal/weak) or positive. Metastatic tumors were frequently unilateral (42.8% of tumors from lower and 40% of tumors from upper tract) and ≥10 cm (85.7% of tumors from lower and 80% of tumors from upper tract). CK7 was positive in 88.5% upper GI and 88.3% primary ovarian compared with 24.3% lower GI neoplasms. CK20 and CDX2 were positive in 84.8% and 100% of lower GI tumors, respectively; however, expression was also common in upper GI (CK20 42.8%, CDX2 50%) and primary ovarian neoplasms (CK20 65.7%, CDX2 38.3%). Conversely, SATB2 was more specific for lower GI origin, being positive in 78.8% lower GI but only 11.5% upper GI and 1.7% primary ovarian neoplasms. PAX8 expression was common in primary ovarian neoplasms (75% of all neoplasms, 65% of carcinomas); only 1 (1.5%) GI tumor was positive. MUC2 and β-catenin were frequently positive in lower GI tumors (96.9% and 51.5%, respectively). Estrogen receptor expression was only seen in primary ovarian neoplasms (13.3%). Nuclear premature ovarian failure 1B (POF1B) expression was seen in malignant tumors regardless of their origin. A panel including CK7, SATB2, and PAX8 separated primary from secondary GI neoplasms with up to 77.1% sensitivity and 99% specificity, outperforming tumor laterality and size. Second-line markers such as CDX2, MUC2, estrogen receptor, MUC1, and β-catenin increased the sensitivity of immunohistochemistry in excluding lower GI origin. Biomarker search using proteomic databases has a value in diagnostic pathology, as shown with SATB2; however, as seen with POF1B, expression profiles in these databases are not always reproduced in larger cohorts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".