Cyclooxygenase‐2 expression in human pituitary tumors
Bibliographic record
Abstract
BACKGROUND: Cyclooxygenase-2 (COX-2) plays a role in progression of colon, breast, pancreas, and lung carcinomas. The authors investigated COX-2 expression in pituitary tumors. METHODS: Expression of COX-2 was evaluated in 164 surgically removed human pituitary tumors. Correlation of COX-2 with MIB-1, a cell proliferation marker, as well as angiogenesis, patient age, gender, tumor type, size, invasiveness, and metastatic potential was investigated. RESULTS: Cyclooxygenase-2 immunoreactivity was confined to the cytoplasm of tumor cells, whereas the nuclei were unlabeled. Few normal peritumoral adenohypophysial cells showed slight COX-2 cytoplasmic immunoreactivity. The staining intensity and the percentage of immunopositive cells were higher in tumors. Most pituitary tumors (96%) were COX-2-immunopositive. Expression was strong in 60 (44%), moderate in 39 (28%), and weak in 32 (24%). Male gonadotroph adenomas and null cell adenomas showed a high level of COX-2 expression. Growth hormone-producing adenomas, prolactin-producing adenomas, thyrotropic hormone-producing adenomas, female gonadotroph adenomas, silent adrenocorticotropic hormone-producing adenomas, and silent subtype 3 adenomas had a low level of COX-2 expression. Significant correlation was demonstrated with patient age, but not with tumor size, invasiveness, and MIB-1 labeling indices. Expression was medium to high in 76% of macroadenomas and in only 45% of microadenomas. Strong correlations were noted with angiogenesis markers, such as microvessel density and surface density. CONCLUSIONS: Correlation with angiogenesis suggests that COX-2 may be involved in the regulation of angiogenesis in pituitary tumors. Phamacologic inhibition of COX-2 activity might suppress angiogenesis in pituitary tumors and may provide a novel approach for medical therapy.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".