Human Kallikrein 10 Expression in Surgically Removed Human Pituitary Corticotroph Adenomas
Bibliographic record
Abstract
Human kallikrein 10 (hk10), a secreted serine protease, was reported to function as a tumor suppressor. hK10 immunoexpression has been demonstrated in lactrotrophs and corticotrophs of the nontumorous human adenohypophysis. In the present study, for the first time we report hK10 immunoexpression in various surgically removed corticotroph adenoma subtypes. Specimens were fixed in formalin and embedded in paraffin. Immunostaining was performed using the streptavidin-biotin-peroxidase complex method with an hK10-specific rabbit polyclonal antibody. Results showed that the endocrinologically active adrenocorticotropic hormone (ACTH)-producing pituitary tumors and the silent subtypes were immunopositve for hK10. Intensity of staining varied between the different subtypes. Intensity was lowest in the silent subtypes (silent corticotroph subtypes 1 and 2) compared with nontumorous human adenohypophysial corticotrophs, whereas the endocrinologically active subtypes (ACTH-secreting adenomas, corticotroph carcinomas, Crooke cell adenomas, Crooke cell carcinomas), showed the highest hK10 immunoexpression. Immunopositivity in the nuclei of the ACTH-secreting adenomas and carcinomas, as well as dual cytoplasmic and nuclear localization of hK10 in some of the secreting tumor types was an intriguing finding. Immunoexpression of hK10 in the ACTH-secreting tumors as well as in the Crooke cell tumors was significantly increased when compared with the nonfunctioning tumors and in the corticotrophs of nontumorous pituitaries.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".