Abstract 5025: EZH2 reprogramming confers intrinsic stem cell properties and developmental plasticity driving neuroendocrine prostate cancer
Bibliographic record
Abstract
Abstract Introduction: Potent targeting of the androgen receptor (AR) in castration-resistant prostate cancer (CRPC) has altered the archetypal course of the disease, fueling the emergence of aggressive and incurable neuroendocrine prostate cancer (NEPC). Alarmingly, no targeted therapies exist for NEPC, which stems from our poor molecular understanding of the disease. What regulates the plasticity that allows cells to shed their dependence on the AR and re-emerge as “AR-indifferent” NEPC, especially under the pressure of modern AR pathway inhibitors (ARPIs) such as enzalutamide (ENZ)? Recent data suggest that neuroendocrine transdifferentiation is aligned with dynamic reprogramming of the epigenome by developmental regulators, like EZH2, making them attractive therapeutic targets. Method: To uncover reprogramming factors that are activated in response to AR pathway inhibition, we interrogated a panel of cell lines derived from ENZ-resistant prostate tumors by RNA-seq. Mirroring what is observed in a subset of patients who progress on ENZ, 25% of ENZ-resistant tumors and matched cell lines displayed reduction in canonical AR pathway activity and a NEPC phenotype. Gene set enrichment analysis revealed that these cells are enriched for a Polycomb/EZH2 signature and share a conserved transcriptional program with embryonic stem cells. In particular, we identified a distinct phosphorylated form of EZH2 (EZH2-T350), upregulated in AR-indifferent/NEPC cell lines and patient tumors, that was found to be indispensable for the emergence and maintenance of a stem-like state. Results: Blocking EZH2-T350 phosphorylation in AR-indifferent/NEPC cell lines yielded a marked reduction in expression of pluripotency transcription factors and stem-like features, including ALDH activity and spheroid formation capacity. Notably, EZH2-T350 was found to be sufficient and required for cells to enter a transient stem-like state, a pre-requisite for neuroendocrine transdifferentiation under the pressure of ARPIs both in vitro and in patient-derived prostate tumor xenografts. As our data revealed a strong association between EZH2 and AR in response to ENZ we performed ChIP-seq and observed extensive reprogramming of the AR cistrome, specifically at a core set of genes governing stem cell identity. EZH2 colocalized at the reprogrammed AR binding sites. Accordingly, treating AR-indifferent/NEPC cell lines with the EZH2 inhibitor GSK126 yielded a molecular subtype shift from PCS1 to AR-driven PCS2, and re-sensitized cells to ARPIs. Conclusion: Our findings establish the centrality of epigenetic reprogramming in driving the insurgence of a clinically aggressive neuroendocrine phenotype in response to AR pathway inhibition. Drugging the epigenome via EZH2 inhibition to reverse the NEPC state and re-sensitize tumors to our powerful arsenal of ARPIs has the potential to transform the treatment of prostate cancer. Citation Format: Alastair Davies, Musa Ahmed, Chiara Bostock, Anna Gleave, Kirsi Ketola, Fraser Johnson, Jennifer Bishop, Ladan Fazli, Haojie Huang, Hansen He, Amina Zoubeidi. EZH2 reprogramming confers intrinsic stem cell properties and developmental plasticity driving neuroendocrine prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5025. doi:10.1158/1538-7445.AM2017-5025
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.004 | 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".