p300-Mediated Acetylation of Histone Demethylase JMJD1A Prevents Its Degradation by Ubiquitin Ligase STUB1 and Enhances Its Activity in Prostate Cancer
Bibliographic record
Abstract
The androgen receptor (AR) pathway plays a central role in the development of castration-resistant prostate cancer (CRPC). The histone demethylase JMJD1A has been shown to regulate activities of AR and c-Myc transcription factors and promote prostate cancer progression. Here, we report that JMJD1A protein stability is controlled by the ubiquitin ligase STUB1. High levels of JMJD1A were strongly correlated with low STUB1 levels in human CRPC specimens. STUB1 inhibited AR activity, AR-V7 levels, and prostate cancer cell growth partly through degradation of JMJD1A. Furthermore, the acetyltransferase p300 acetylated JMJD1A at lysine (K) 421, a modification that recruits the BET family member BRD4 to block JMJD1A degradation and promote JMJD1A recruitment to AR targets. Increased levels of both total and K421-acetylated JMJD1A were observed in prostate cancer cells as they developed resistance to the AR antagonist enzalutamide. Treatment of prostate cancer cells with either p300 or BET inhibitors destabilized JMJD1A, and enzalutamide-resistant prostate cancer cells were more sensitive than parental cells to these inhibitors. Together, our findings identify a critical role for acetylation of JMJD1A in regulating JMJD1A stability and AR activity in CRPC. These newly identified mechanisms controlling JMJD1A protein stability provide potential druggable targets to encourage the development of additional therapies for advanced prostate cancer. SIGNIFICANCE: Identification of mechanisms regulating JMJD1A protein stability reveals new strategies to destabilize JMJD1A and concomitantly inhibit AR activities as potential prostate cancer therapy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".