Pituitary Hypoplasia in<i>Pttg</i><sup>−/−</sup>Mice Is Protective for<i>Rb</i><sup>+/−</sup>Pituitary Tumorigenesis
Bibliographic record
Abstract
Pituitary tumor transforming gene (Pttg) is induced in pituitary tumors and associated with increased tumor invasiveness. Pttg-null mice do not develop tumors, but exhibit pituitary hypoplasia, whereas mice heterozygous for the retinoblastoma (Rb) deletion develop pituitary tumors with high penetrance. Pttg-null mice were therefore cross-bred with Rb+/- mice to test the impact of pituitary hypoplasia on tumor development. Before tumor development, Rb+/-Pttg-/- mice have smaller pituitary glands with fewer cycling pituitary cells and exhibit induction of pituitary p21 levels. Pttg silencing in vitro with specific short hairpin interfering RNA in AtT20 mouse corticotrophs led to a marked induction of p21 mRNA and protein levels, decreased RB phosphorylation, and subsequent 24% decrease in S-phase cells. Eighty-six percent of Rb+/-Pttg+/+ mice develop pituitary adenomas by 13 months, in contrast to 30% of double-crossed Rb+/-Pttg-/- animals (P < 0.01). Pituitary hypoplasia, associated with suppressed cell proliferation, prevents the high penetrance of pituitary tumors in Rb+/- animals, and is therefore a protective determinant for pituitary tumorigenesis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".