Abstract PR11: EP300 controls the oncogenic enhancer landscape of high-risk neuroblastoma
Bibliographic record
Abstract
Abstract High-risk neuroblastoma (NB) is an aggressive tumor of the peripheral sympathetic nervous system. Patients with NB have poor overall survival despite increases in intensity of anti-NB therapy, and survivors are typically left with long-term treatment-related morbidities. Thus, there is a need to develop novel targeted therapies that kill tumor cells without toxicity to normal tissues. We recently demonstrated that NB relies on a set of genes for survival, termed “dependencies.” One NB dependency that regulates numerous other dependencies is the histone acetyltransferase (HAT) enzyme, EP300. EP300 catalyzes the acetylation of histone H3, lysine-27 (H3K27ac) that defines active enhancer and promoter elements. This mark can also be catalyzed by the paralogous protein CBP; however, CBP is not required for NB survival despite generally being expressed in NB. Thus, selective inhibition of EP300 may result in anti-NB effects with minimal toxicity to normal tissues where CBP compensates. Here, we demonstrate that EP300, but not CBP, controls NB cell survival through regulation of the oncogenic enhancer landscape of NB. Conventional small-molecule inhibition of EP300/CBP or CRISPR-cas9-mediated knockout of EP300, but not CBP, results in neuroblastic differentiation associated with loss of the NB lineage-defining and oncogenic core transcriptional regulatory circuitry. All agents targeting EP300 equivalently target CREBBP due to their extensive protein homology. Thus, to pharmacologically eliminate EP300 and spare CBP, we designed a novel proteolysis-targeting chimera (PROTAC) agent (“JQAD1”). JQAD1 is a cereblon-dependent, selective degrader of EP300 with minimal off-target effects on CBP in NB cell lines, low passage primary cells, and in xenografts in vivo. JQAD1 is exceedingly stable and well tolerated in vivo. JQAD1 treatment results in loss of the transcriptional circuitry driving NB, transcriptional collapse. and irreversible commitment of NB cells to apoptosis in vitro and in vivo. This study defines the mechanism by which EP300 centrally regulates NB cell fate through epigenetic regulation of the transcriptional state and provides the first EP300-selective pharmacologic agent for evaluation in a myriad of other EP300-dependent malignancies. This abstract is also being presented as Poster B11. Citation Format: Adam D. Durbin, Virangika Wimalasena, Mark W. Zimmerman, Li Deyao, Elizabeth S. Frank, Paul Park, Ken Morita, Neekesh V. Dharia, Ken N. Ross, Ernst Schonbrunn, Richard A. Young, Brian J. Abraham, Kimberly Stegmaier, A. Thomas Look, Jun Qi. EP300 controls the oncogenic enhancer landscape of high-risk neuroblastoma [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr PR11.
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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) | 0.004 | 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".