ERRγ impedes neuroendocrine prostate cancer development
Bibliographic record
Abstract
Neuroendocrine prostate cancer (NEPC) is a lethal subtype of castration-resistant prostate cancer (CRPC). The molecular mechanisms underlying the progression of CRPC toward NEPC remain incompletely understood, and effective treatments remain to be discovered. Here, we report that loss of the nuclear receptor ERRγ promotes neuroendocrine differentiation in a Pten-deficient mouse model of prostate adenocarcinoma. These findings were recapitulated in advanced cellular and xenograft models of human prostate cancer. Critically, we show that ERRγ gain of function can reverse instilled NEPC features accompanied by suppression of growth and oncogenic metabolic reprogramming. Activation of a neuroendocrine transcriptional program enabled by ERRγ deficiency unveiled a targetable vulnerability exploited by the combined pharmacological inhibition of EZH2 and RET kinase that effectively inhibited the growth of ERRγ-deficient tumor organoids and cells. Collectively, our findings demonstrate that ERRγ downregulation facilitates prostate cancer adeno-to-neuroendocrine transformation and offer potential therapeutic strategies to prevent/treat the development of poor outcome NEPC.
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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 | 0.000 | 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".