Immunohistochemical nestin expression in nontumorous human pituitaries and pituitary tumors
Bibliographic record
Abstract
The objective of the study was to investigate whether nestin, a member of the intermediary filament family, is expressed in autopsy-obtained nontumorous human pituitaries and in surgically-removed pituitary tumors. Twenty-three formalin-fixed and paraffin-embedded pituitaries and 125 adenohypophysial tumors of varying cell type were examined. Nestin was demonstrated by the streptavidin-biotin-peroxidase complex method. Several nontumorous corticotrophs showed mild cytoplasmic immunostaining. No nestin immunopositivity was found in other adenohypophysial cells or in pituitary adenomas. Nestin was, however, expressed in some endothelial cells in the anterior and posterior lobes, as well as in scattered pituicytes, nerve fibers and Herring bodies. In contrast to CD-34 and Factor-8 preparations that show positivity in practically all endothelial cells, nestin expression was only focal, thus suggesting that the functional state of immunoreactive and immunonegative endothelial cells differed. No correlation was noted between nestin immunoreactivity and patient age, gender, tumor size, mitotic index, Ki-67 labeling index, hormonal profile or tumor type. In conclusion, nestin immunostaining in pituitary adenomas cannot be used as a marker of cell proliferation or as a prognostic indicator. The patchy immunoreactivity in endothelial cells suggests that nestin is expressed in endothelial cells of newly formed capillaries. This work was supported by the Jarislowsky and Lloyd Carr-Harris Foundations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".