Abstract A011: Emergence of persister cells following bromodomain inhibition in Ewing sarcoma
Bibliographic record
Abstract
Abstract Ewing sarcoma (ES) is driven by the tumor initiating fusion EWS::FLI1 that causes widespread transcriptional dysregulation via epigenetic reprogramming. ES cells are highly plastic and heterogenous and have features of both neural crest and mesenchymal lineages. Epigenetic plasticity is well established as a mediator of disease progression and drug resistance, leading to the creation of heterogeneous tumor cell subpopulations that can initiate metastasis and relapse. Successful therapeutic strategies for metastatic or relapsed ES patients are limited and unchanged in the last three decades. Identification of new therapeutic strategies, and defining the effect of new agents on ES biology, is critical to improving patient outcomes. Given the epigenetic dependencies of ES, epigenetic modifying agents are an important class of drugs to investigate. The class of bromodomain and extra-terminal domain protein inhibitors (BETi) have shown preclinical efficacy in ES models but drug combinations will be needed. We are testing the hypothesis that transcriptional rewiring downstream of BETi will create new dependencies in ES cells that could be therapeutically exploited with biologically-defined combinations. Our studies show that the BETi, BMS-986158, the first BETi to be tested in pediatric patients, has profound cytostatic effects in preclinical ES models in vitro and in vivo. Our data further reveal that long term exposure to BMS-986158 creates a persister population of cells that reacquires proliferative capacity. We performed RNA-seq studies on parent, acutely treated (72 hours), and persister populations from three ES cell lines to define the effects of short and long term BET inhibition. Exposure to BMS-986158 led to strong inhibition of the EWS::FLI1-activated gene signature that was evident both acutely and in persister cells. Thus, despite continued inhibition of EWS::FLI1 activity, persister cells restored their ability to survive and proliferate. Gene Set Enrichment Analysis of transcripts that were significantly altered in persister cells identified gene programs involved in development and lineage commitment, including polycomb targets, suggesting that persister cells may have been rewired to more stem-like states. In addition, in two of the three cell lines, persister cells demonstrated upregulation of MYC target genes and cell cycle programs that were initially repressed by BET inhibition. Ongoing studies are investigating the molecular mechanisms by which MYC programs are reactivated in persister cells. We anticipate that epigenetic reprogramming mediates the transcriptional rewiring of MYC programs in persister cells, thereby escaping the cytostatic effects of continued BET inihbition. By defining these mechanisms we aim to identify new vulnerabilities that can be exploited in the context of BETi combination trials in the future. Citation Format: Shireen S. Ganapathi, Nicolas M. Garcia, Veerin R. Sirihorachai, Elizabeth R. Lawlor. Emergence of persister cells following bromodomain inhibition in Ewing sarcoma [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A011.
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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) | 0.003 | 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".