Developmental and androgenic regulation of chromatin regulators EZH2 and ANCCA/ATAD2 in the prostate Via MLL histone methylase complex
Bibliographic record
Abstract
BACKGROUND: Chromatin regulators ANCCA and EZH2 are overexpressed in prostate cancer and play crucial roles in androgen-stimulated and castration-refractory prostate tumor growth and survival. However, how their expression is regulated in the tumors and whether they play a role in prostate development remains unclear. METHODS: Prostate tissue from different developmental stages of mouse and human were examined by IHC, qRT-PCR and Western for expression of ANCCA, EZH2, and Ki-67. Animals were castrated and T-implanted for the expression response in normal prostate and tumors. siRNA knockdown and ChIP were performed for the mechanism of ANCCA regulation of EZH2. RESULTS: In contrast to their very low level expression in adult prostate, ANCCA and EZH2 are strongly expressed in the epithelium and mesenchyme of mouse and human UGS. Their expression becomes more restricted to epithelial cells during later development and displays a second peak during puberty, which correlates with the proliferative status of the epithelium. Importantly, their expression in normal prostate and tumors is strongly suppressed by castration and markedly induced by testosterone replacement. While androgen suppresses EZH2 in CRPC cells, in LNCaP cells, physiological concentrations of androgen stimulate expression of PRC2 genes (EZH2, SUZ12, and EED), which is mediated by androgen-induced ANCCA and involves E2F and histone H3K4me3 methylase MLL1 complex. CONCLUSION: EZH2 and ANCCA are androgen regulated and strongly expressed in early prostate morphogenesis and during puberty, suggesting their important role in prostate development. Regulation of EZH2 by ANCCA emphasizes bromodomain protein ANCCA as a potential therapeutic target against prostate cancer.
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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 | 0.000 |
| 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) | 0.003 | 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".