Systematic characterization of chromatin modifying enzymes identifies KDM3B as a critical regulator in castration resistant prostate cancer
Bibliographic record
Abstract
Androgen deprivation therapy (ADT) is the standard care for prostate cancer (PCa) patients who fail surgery or radiotherapy. While initially effective, the cancer almost always recurs as a more aggressive castration resistant prostate cancer (CRPC). Previous studies have demonstrated that chromatin modifying enzymes can play a critical role in the conversion to CRPC. However, only a handful of these potential pharmacological targets have been tested. Therefore, in this study, we conducted a focused shRNA screen of chromatin modifying enzymes previously shown to be involved in cellular differentiation. We found that altering the balance between histone methylation and demethylation impacted growth and proliferation. Of all genes tested, KDM3B, a histone H3K9 demethylase, was found to have the most antiproliferative effect. These results were phenocopied with a KDM3B CRISPR/Cas9 knockout. When tested in several PCa cell lines, the decrease in proliferation was remarkably specific to androgen-independent cells. Genetic rescue experiments showed that only the enzymatically active KDM3B could recover the phenotype. Surprisingly, despite the decreased proliferation of androgen-independent cell no alterations in the cell cycle distribution were observed following KDM3B knockdown. Whole transcriptome analyses revealed changes in the gene expression profile following loss of KDM3B, including downregulation of metabolic enzymes such as ARG2 and RDH11. Metabolomic analysis of KDM3B knockout showed a decrease in several critical amino acids. Overall, our work reveals, for the first time, the specificity and the dependence of KDM3B in CRPC proliferation.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".