mTOR–RAPTOR and 14-3-3σ immunohistochemical expression in high grade prostatic intraepithelial neoplasia and prostatic adenocarcinomas: a tissue microarray study
Bibliographic record
Abstract
BACKGROUND: The mammalian target of rapamycin (mTOR) is a serine/threonine protein kinase which associates with regulatory-associated protein of TOR (RAPTOR), forming the mTORC1 complex, which is necessary for activation of the mTOR pathway. 14-3-3σ belongs to a family of proteins known to regulate the mTOR-RAPTOR interaction and signalling of this cascade. The mTOR pathway is a key regulator of protein synthesis and growth and is up-regulated in many cancers. The correlation of mTOR, RAPTOR and 14-3-3σ in high grade prostatic intraepithelial neoplasia (HGPIN) and prostate cancer has not previously been investigated. AIMS: To examine the immunohistochemical expression of phosphorylated mTOR (p-mTOR), RAPTOR and 14-3-3σ in HGPIN and prostatic adenocarcinoma (PCa) using tissue microarrays. METHODS AND RESULTS: There were contrasting immunohistochemical patterns of expression for mTOR and 14-3-3σ in HGPIN and PCa. Cochran-Armitage analysis demonstrated decreasing p-mTOR and increasing 14-3-3σ expression, progressing from PIN through GL6 and GL7 to high grade PCa. In cores with coexistent staining for 14-3-3σ and p-mTOR, the expression of each marker was restricted to different geographical areas of an individual core. CONCLUSION: The inverse correlation of p-mTOR and 14-3-3σ expression supports the role of 14-3-3σ as an inhibitor of p-mTOR activity in the prostate. The extent of 14-3-3σ and mTOR expression in an individual patient with prostate cancer would determine how effective the use of mTOR inhibitors would be as potential therapeutic agents.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".