Ketone drink enhances therapeutic efficacy in prostate cancer by targeting EZH2
Bibliographic record
Abstract
It is well established that EZH2, a lysine methyltransferase, is upregulated in most aggressive cancers, highlighting the importance of EZH2 in cancer progression. Recent research has shown that metabolic reprogramming is pivotal in various biological processes, including cancer. Despite this, evidence of EZH2's role in regulating cancer metabolism remains limited. Our study reveals a negative correlation between EZH2 and HMGCS2, a gene belonging to the HMG-CoA synthase, in prostate and breast cancers. Interestingly, HMGCS2 is inversely related to cancer progression and prognosis in these cancers. Furthermore, HMGCS2 is epigenetically repressed by EZH2 both in vitro and in vivo. Notably, restored EZH2 reduces the elevated HMGCS2 levels observed upon EZH2 depletion. Overexpression of HMGCS2 decreases tumorigenesis in both prostate and breast cancers. Additionally, β-hydroxybutyrate (BHB), a downstream metabolite of HMGCS2, impedes prostate cancer progression by targeting EZH2 via direct protein-compound interaction-mediated protein degradation. More importantly, the ketone drink of BHB administration dramatically reduces tumor size and weight in a therapy-resistant, castration-resistant prostate cancer patient-derived xenograft model. Combining a ketone drink with FDA-approved drugs enzalutamide and Tazemetostat further suppresses tumor progression. Overall, the EZH2-HMGCS2-BHB regulatory network plays a critical role in the progression of prostate cancer, and a ketone drink is a novel therapeutic tool for patients with aggressive prostate cancer.
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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".