Corticotroph carcinoma of the pituitary: a clinicopathological study
Bibliographic record
Abstract
To understand the relationship between pituitary adenoma and carcinoma, four adrenocorticotropic hormone-producing pituitary adenomas and corresponding metastatic carcinomas were studied. All were functional macroadenomas (three cases of Nelson syndrome and one of Cushing disease) that initially invaded the sella turcica and occurred in women ranging in age from 17 to 66 years (mean 45 years). Metastases (two craniospinal and two systemic) occurred after latency periods of 6 to 13 years. Histological specimens were immunostained for pituitary hormones, Ki-67 antigen (MIB-1), p53 and p27 proteins, D-type cyclins, and glucocorticoid receptor messenger (m)RNA. The DNA content of the specimens was assessed using Feulgen stain. Reactivities were quantified by digital image analysis. Primary/recurrent lesions and metastatic tumors differed according to their respective mean mitotic indices (1.2/10 hpf compared with 4.3/10 hpf), MIB-1 labeling (1.7% compared with 8%), p53 staining (37.3% compared with 49.9%), and p27 labeling (48% compared with 25%). Cyclin D, immunoreactivity provided no prognostically significant information. Glucocorticoid receptor mRNA was detected in all cases. Results of a ploidy analysis were variable and nonprognostic. In keeping with the 2000 World Health Organization classification of endocrine neoplasms, our findings support the concept that primary tumors that exhibit mitotic activity, an increased (> 3%) MIB-1 labeling index, and/or p53 immunoreactivity should be termed "atypical adenomas" to denote their aggressive potential and the possibility of future malignant transformation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".