LBODP078 Role Of Ire1a-xbp1 Pathway In Rodent Functional Pituitary Tumor Cells.
Bibliographic record
Abstract
Abstract Introduction Pituitary tumors (PTs) occur in almost 17% of the population and they represent about 10% of all intracranial tumors. At present, many patients with pituitary tumors suffer from symptoms and complications caused by abnormal hormone production and/or mass effects due to limited treatment options. Therefore, the development of novel therapies is an urgent issue. The inositol requiring enzyme 1a (IRE1a)-X-box binding protein 1 (XBP1) pathway is an important component for the endoplasmic reticulum (ER) stress response. This pathway is activated by immature protein overload in the ER and elimination or repair of such protein can reduce ER stress. This pathway has been reported to regulate cancer cell growth and secretory protein production. The detection of potential XBP1 binding sites in the promoter region of rat GH and mouse POMC similar to those of human genes suggests the involvement of the IRE1a-XBP1 pathway in the production of these hormones and pituitary tumor cell growth. In this study, we aimed to clarify the role of the IRE1a-XBP1 pathway in functional pituitary tumor cells. Methods and Results We conducted in vitro experiments by using rat GH-producing pituitary GH4 cells and mouse ACTH-producing AtT-20 cells as the models of GH- and ACTH-producing pituitary adenomas, respectively. Cell proliferation was measured by WST-8 assay, gene expression levels by qPCR, and protein expression by western blotting, respectively. In GH4 cells, STF08310 (40µM), an IRE1a inhibitor, reduced levels of GH and XBP1 spliced form (XBP1s) mRNA and GH protein with suppressed cell proliferation. In AtT-20 cells, STF08310 (40µM) also suppressed protein expression of proopiomelanocortin (POMC) and cell proliferation. Gene suppression of IRE1a by siRNA and over-expression of XBP1s showed marked reduction and increase of POMC protein, respectively. Conclusion Our findings suggest that the IRE1a-XBP1s pathway would be a possible therapeutic target that has both anti-tumoral and hormone control effects against functional pituitary tumor. Presentation: No date and time listed
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".