The expression of glucocorticoid receptor is negatively regulated by active androgen receptor signaling in prostate tumors
Bibliographic record
Abstract
The glucocorticoid and androgen receptors (GR and AR) can commonly regulate up to 50% of their target genes in prostate cancer (PCa) cells. GR expression is stimulated by castration therapy, which has been proposed to be one mechanism that compensates for AR signaling blockade and promotes castration-resistant PCa (CRPC) progression. However, whether GR functions as a driver for CRPC or a marker reflecting AR activity remains unclear. Here, we applied PCa tissue microarrays to show that GR protein levels were elevated by castration therapy, but reduced to pre-castration levels when tumors were at the CRPC stage. Using subrenal capsule xenograft models, we showed that GR expression was inversely correlated with AR and PSA expressions. GR expression levels are not associated with tumor invasion and metastasis phenotypes. In castration-resistant C4-2 xenografts expressing AR shRNA, regressing tumors induced by AR knockdown expressed higher levels of GR and lower levels of PSA than non-regressing tumors. Immunoblotting and real-time PCR assays further showed that AR knockdown or AR antagonists increased GR expression at both mRNA and protein levels. ChIP combined with DNA sequencing techniques identified a negative androgen responsive element (nARE) 160K base pairs upstream of the GR gene. Gel shift assays confirmed that AR directly interacted with the nARE and luciferase assays demonstrated that the nARE could mediate transcription repression by ligand-activated AR. In conclusion, GR expression is negatively regulated by AR signaling and may serve as a marker for AR signaling in prostate tumors.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".